Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Nowadays, a pedestrian navigation system using a smartphone has become popular as a useful tool to reach an unknown destination. When the destination is the office of a person, a detailed map information is necessary on the target area such as the room number and location inside the building. The information can be collected from various sources including Google maps, websites for the building, and images of signs. In this paper, we propose a map information collection tool for a pedestrian navigation system. To improve the accuracy and completeness of information, it works with the four steps: (1) a user captures building and room images manually, (2) an OCR software using Google ML Kit v2 processes them to extract the sign information from images, (3) web scraping using Scrapy (v2.11.0) and crawling with Apache Nutch (v1.19) software collects additional details such as room numbers, facilities, and occupants from relevant websites, and (4) the collected data is stored in the database to be integrated with a pedestrian navigation system. For evaluations of the proposed tool, the map information was collected for 10 buildings at Okayama University, Japan, a representative environment combining complex indoor layouts (e.g., interconnected corridors, multi-floor facilities) and high pedestrian traffic, which are critical for testing real-world navigation challenges. The collected data is assessed in completeness and effectiveness. A university campus was selected as it presents a complex indoor and outdoor environment that can be ideal for testing pedestrian navigations in real-world scenarios. With the obtained map information, 10 users used the navigation system to successfully reach destinations. The System Usability Scale (SUS) results through a questionnaire confirms the high usability.

DOI： 10.3390/info16070588

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Authorship：Corresponding author   Language：English  

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Presently, Java is a fundamental object-oriented programming language that can be mastered by any student in information technology or computer science. To assist both teachers and students, we developed the Java Programming Learning Assistant System (JPLAS). It offers several types of practice problems with different levels and learning goals for step-by-step self-study, where any answer is automatically marked in the system. One challenge for teachers that is addressed with JPLAS is the generation of proper exercise problems that meet learning requirements. We implemented programs for generating new problems from given source codes, as collecting and evaluating suitable codes remains time-consuming. In this paper, we present an automatic code generation tool using generative AI to solve this challenge. Prompt engineering is used to help generate an appropriate source code, and the quality is controlled by optimizing the prompt based on the outputs. For applications in JPLAS, we implement a web application system to automatically generate an element fill-in-the-blank problem (EFP) in JPLAS. For evaluation, we select the element fill-in-the-blank problem (EFP) as the target type in JPLAS and generate several instances using this tool. The results confirm the validity and effectiveness of the proposed method.

DOI： 10.3390/electronics14112261

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Nowadays, accessibility to academic papers has been significantly improved with electric publications on the internet, where open access has become common. At the same time, it has increased workloads in literature surveys for researchers who usually manually download PDF files and check their contents. To solve this drawback, we have proposed a reference paper collection system using a web scraping technology and natural language models. However, our previous system often finds a limited number of relevant reference papers after taking long time, since it relies on one paper search website and runs on a single thread at a multi-core CPU. In this paper, we present an improved reference paper collection system with three enhancements to solve them: (1) integrating the APIs from multiple paper search web sites, namely, the bulk search endpoint in the Semantic Scholar API, the article search endpoint in the DOAJ API, and the search and fetch endpoint in the PubMed API to retrieve article metadata, (2) running the program on multiple threads for multi-core CPU, and (3) implementing Dynamic URL Redirection, Regex-based URL Parsing, and HTML Scraping with URL Extraction for fast checking of PDF file accessibility, along with sentence embedding to assess relevance based on semantic similarity. For evaluations, we compare the number of obtained reference papers and the response time between the proposal, our previous work, and common literature search tools in five reference paper queries. The results show that the proposal increases the number of relevant reference papers by 64.38% and reduces the time by 59.78% on average compared to our previous work, while outperforming common literature search tools in reference papers. Thus, the effectiveness of the proposed system has been demonstrated in our experiments.

DOI： 10.3390/fi17050195

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

For decades, analog dial gauges have been essential for measuring and monitoring data at various industrial instruments including production machines and laboratory equipment. Among them, we focus on the instrument for creep test in a mechanical engineering laboratory, which evaluates material strength under sustained stress. Manual reading of gauges imposes significant labor demands, especially in long-duration tests. This burden further increases under low-lighting environments, where poor visibility can lead to misreading data points, potentially compromising the accuracy of test results. In this paper, to address the challenges, we implement a creep test assisting system that possesses the following features: (1) to save the installation cost, a web camera and Raspberry Pi are employed to capture images of the dial gauge and automate the needle reading by image processing in real time, (2) to ensure reliability under low-lighting environments, a smart lighting mechanism is integrated to turn on a supplementary light when the dial gauge is not clearly visible, and (3) to allow a user to stay in a distant place from the instrument during a creep test, material break is detected and the corresponding message is notified to a laboratory staff using LINE automatically. For evaluations, we install the implemented system into a material strength measuring instrument at Okayama University, Japan, and confirm the effectiveness and accuracy through conducting experiments under various lighting conditions.

DOI： 10.3390/technologies13040139

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Nowadays, portrait drawing has become increasingly popular as a means of developing artistic skills and nurturing emotional expression. However, it is challenging for novices to start learning it, as they usually lack a solid grasp of proportions and structural foundations of the five senses. To address this problem, we have studied Portrait Drawing Learning Assistant System (PDLAS) for guiding novices by providing auxiliary lines of facial features, generated by utilizing OpenPose and OpenCV libraries. For PDLAS, we have also presented the exactness assessment method to evaluate drawing accuracy using the Normalized Cross-Correlation (NCC) algorithm. It calculates the similarity score between the drawing result and the initial portrait photo. Unfortunately, the current method does not assess the hair drawing, although it occupies a large part of a portrait and often determines its quality. In this paper, we present a hair drawing evaluation algorithm for the exactness assessment method to offer comprehensive feedback to users in PDLAS. To emphasize hair lines, this algorithm extracts the texture of the hair region by computing the eigenvalues and eigenvectors of the hair image. For evaluations, we applied the proposal to drawing results by seven students from Okayama University, Japan and confirmed the validity. In addition, we observed the NCC score improvement in PDLAS by modifying the face parts with low similarity scores from the exactness assessment method.

DOI： 10.3390/a18030143

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

For rapid deployments of various IoT application systems, we have developed Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) as an integrated server platform. It is equipped with rich functions for collecting, analyzing, and visualizing various data. Unfortunately, the proper configuration of SEMAR with a variety of IoT devices can be complex and challenging for novice users, since it often requires technical expertise. The assistance of Generative AI can be helpful to solve this drawback. In this paper, we present an implementation of a sensor input setup assistance service for SEMAR using prompt engineering techniques and Generative AI. A user needs to define the requirement specifications and environments of the IoT application system for sensor inputs, and give them to the service. Then, the service provides step-by-step guidance on sensor connections, communicating board configurations, network connections, and communication protocols to the user, which can help the user easily set up the configuration to connect the relevant devices to SEMAR. For evaluations, we applied the proposal to the input sensor setup processes of three practical IoT application systems with SEMAR, namely, a smart light, water heater, and room temperature monitoring system. In addition, we applied it to the setup process of an IoT application system for a course for undergraduate students at the Insitut Bisnis dan Teknologi (INSTIKI), Indonesia. The results demonstrate the effectiveness of the proposed service for SEMAR.

DOI： 10.3390/info16020108

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Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Recently, artificial intelligence (AI) has been adopted in a number of Internet of Things (IoT) application systems to enhance intelligence. We have developed a ready-made server with rich built-in functions to collect, process, display, analyze, and store data from various IoT devices, the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform, in which various AI techniques have been implemented to enhance its capabilities. In this paper, we present an application of SEMAR to a drone-based wall inspection system using an object detection AI model called You Only Look Once (YOLO). This system aims to detect wall cracks at high places using images taken via a camera on a flying drone. An edge computing device is installed to control the drone, sending the taken images through the Kafka system, storing them with the drone flight data, and sending the data to SEMAR. The images are analyzed via YOLO through SEMAR. For evaluations, we implemented the system using Ryze Tello for the drone and Raspberry Pi for the edge, and we evaluated the detection accuracy. The preliminary experiment results confirmed the effectiveness of the proposal.

DOI： 10.3390/info16020091

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

In location-based augmented reality (LAR) applications, a simple and effective authoring tool is essential to create immersive AR experiences in real-world contexts. Unfortunately, most of the current tools are primarily desktop-based, requiring manual location acquisitions, the use of software development kits (SDKs), and high programming skills, which poses significant challenges for novice developers and a lack of precise LAR content alignment. In this paper, we propose an intuitive in situ authoring tool with visual-inertial sensor fusions to simplify the LAR content creation and storing process directly using a smartphone at the point of interest (POI) location. The tool localizes the user’s position using smartphone sensors and maps it with the captured smartphone movement and the surrounding environment data in real-time. Thus, the AR developer can place a virtual object on-site intuitively without complex programming. By leveraging the combined capabilities of Visual Simultaneous Localization and Mapping(VSLAM) and Google Street View (GSV), it enhances localization and mapping accuracy during AR object creation. For evaluations, we conducted extensive user testing with 15 participants, assessing the task success rate and completion time of the tool in practical pedestrian navigation scenarios. The Handheld Augmented Reality Usability Scale (HARUS) was used to evaluate overall user satisfaction. The results showed that all the participants successfully completed the tasks, taking 16.76 s on average to create one AR object in a 50 m radius area, while common desktop-based methods in the literature need 1–8 min on average, depending on the user’s expertise. Usability scores reached 89.44 for manipulability and 85.14 for comprehensibility, demonstrating the high effectiveness in simplifying the outdoor LAR content creation process.

DOI： 10.3390/electronics14020342

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Musculoskeletal disorders (MSDs) can significantly impact individuals’ quality of life (QoL), often requiring effective rehabilitation strategies to promote recovery. However, traditional rehabilitation methods can be expensive and may lack engagement, leading to poor adherence to therapy exercise routines. An exergame system can be a solution to this problem. In this paper, we investigate appropriate hand gestures for controlling video games in a rehabilitation exergame system. The Mediapipe Python library is adopted for the real-time recognition of gestures. We choose 10 easy gestures among 32 possible simple gestures. Then, we specify and compare the best and the second-best groups used to control the game. Comprehensive experiments are conducted with 16 students at Andalas University, Indonesia, to find appropriate gestures and evaluate user experiences of the system using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). The results show that the hand gestures in the best group are more accessible than in the second-best group. The results suggest appropriate hand gestures for game controls and confirm the proposal’s validity. In future work, we plan to enhance the exergame system by integrating a diverse set of video games, while expanding its application to a broader and more diverse sample. We will also study other practical applications of the hand gesture control function.

DOI： 10.3390/computers14010025

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Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

DOI： 10.3390/info16010022

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Authorship：Corresponding author   Language：English  

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Engineering and Technology Publishing  

DOI： 10.12720/jait.16.2.215-222

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Language：English  

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Programming has gained significant importance worldwide as societies increasingly rely on computer application systems. To support novices in learning various programming languages, we have developed the Programming Learning Assistant System (PLAS). It offers several types of exercise problems with different learning goals and levels for step-by-step self-study. As a personal answer platform in PLAS, we have implemented a web application using Node.js and EJS for Java and Python programming. Recently, the Flutter framework with Dart programming has become popular, enabling developers to build applications for mobile, web, and desktop environments from a single codebase. Thus, we have extended PLAS by implementing the Flutter environment with Visual Studio Code to support it. Additionally, we have developed an image-based user interface (UI) testing tool to verify student source code by comparing its generated UI image with the standard one using the ORB and SIFT algorithms in OpenCV. For efficient distribution to students, we have generated Docker images of the answer platform, Flutter environment, and image-based UI testing tool. In this paper, we present the implementation of a web-based answer platform for the Flutter Programming Learning Assistant System (FPLAS) by integrating three Docker images using Docker Compose. Additionally, to capture UI images automatically, an Nginx web application server is adopted with its Docker image. For evaluations, we asked 10 graduate students at Okayama University, Japan, to install the answer platform on their PCs and solve five exercise problems. All the students successfully completed the problems, which confirms the validity and effectiveness of the proposed system.

DOI： 10.3390/electronics13244878

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Currently, as an increasing number of people have been addicted to using cellular phones, smartphone tenosynovitis has become common from long-term use of fingers for their operations. Hand exercise while playing video games, which is called exergame, can be a good solution to provide enjoyable daily exercise opportunities for its prevention, particularly, for young people. In this paper, we implemented a simple exergame system with a hand gesture recognition program made in Python using the Mediapipe library. We designed three sets of hand gestures to control the key operations to play the games as different exercises useful for tenosynovitis prevention. For evaluations, we prepared five video games running on a web browser and asked 10 students from Okayama and Hiroshima Universities, Japan, to play them and answer 10 questions in the questionnaire. Their playing results and System Usability Scale (SUS) scores confirmed the usability of the proposal, although we improved one gesture set to reduce its complexity. Moreover, by measuring the angles for maximum wrist movements, we found that the wrist flexibility was improved by playing the games, which verifies the effectiveness of the proposal.

DOI： 10.3390/info15100622

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Nowadays, with the common use of smartphones in daily lives, mobile applications have become popular around the world, which will lead to a rise in Flutter framework. Developed by Google, Flutter with Dart programming provides a cross-platform development environment to create visually appealing and responsive user interfaces across mobile, web, and desktop platforms using a single codebase. However, due to time and staff limitations, the Flutter/Dart programming course is not included in curricula, even in IT departments in universities. Therefore, independent learning environments for students are essential to meet this growing popularity. Previously, we have developed programming learning assistant system (PLAS) as a web-browser-based self-learning platform for novice students. PLAS offers various types of exercise problems designed to cultivate programming skills step-by-step through a lot of code reading and code writing practices. Among them, one particular type is the code modification problem (CMP), which asks to modify the given source code to satisfy the new specifications. CMP is expected to be solved by novices with little effort if they have knowledge of other programming languages. Thus, PLAS with CMP will be an excellent platform for independent learning. In this paper, we present PLAS with CMP for the independent learning of Flutter/Dart programming. To improve the readability of the source code by students, we provided rich comments on grammar or behaviors. Besides, the code can be downloaded so that students can check and run it on an IDE. For evaluations, we generated 38 CMP instances for basic and multimedia/storage topics in Flutter/Dart programming and assigned them to 21 master students at Okayama University, Japan, who have never studied it. The results confirm the validity of the proposal.

DOI： 10.3390/info15100614

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Nowadays, portrait drawing has gained significance in cultivating painting skills and human sentiments. In practice, novices often struggle with this art form without proper guidance from professionals, since they lack understanding of the proportions and structures of facial features. To solve this limitation, we have developed a Portrait Drawing Learning Assistant System (PDLAS) to assist novices in learning portrait drawing. The PDLAS provides auxiliary lines as references for facial features that are extracted by applying OpenPose and OpenCV libraries to a face photo image of the target. A learner can draw a portrait on an iPad using drawing software where the auxiliary lines appear on a different layer to the portrait. However, in the current implementation, the PDLAS does not offer a function to assess the exactness of the drawing result for feedback to the learner. In this paper, we present a drawing exactness assessment method using a Localized Normalized Cross-Correlation (NCC) algorithm in the PDLAS. NCC gives a similarity score between the original face photo and drawing result images by calculating the correlation of the brightness distributions. For precise feedback, the method calculates the NCC for each face component by extracting the bounding box. In addition, in this paper, we improve the auxiliary lines for the nose. For evaluations, we asked students at Okayama University, Japan, to draw portraits using the PDLAS, and applied the proposed method to their drawing results, where the application results validated the effectiveness by suggesting improvements in drawing components. The system usability was also confirmed through a questionnaire with a SUS score. The main finding of this research is that the implementation of the NCC algorithm within the PDLAS significantly enhances the accuracy of novice portrait drawings by providing detailed feedback on specific facial features, proving the system’s efficacy in art education and training.

DOI： 10.3390/computers13090215

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Flutter has become popular for providing a uniform development environment for user interfaces (UIs) on smart phones, web browsers, and desktop applications. We have developed the Flutter programming learning assistant system (FPLAS) to assist its novice students’ self-study. We implemented the Docker-based Flutter environment with Visual Studio Code and three introductory exercise projects. However, the correctness of students’ answers is manually checked, although automatic checking is necessary to reduce teachers’ workload and provide quick responses to students. This paper presents an image-based user interface (UI) testing method to automate UI testing by the answer code using the Flask framework. This method produces the UI image by running the answer code and compares it with the image made by the model code for the assignment using ORB and SIFT algorithms in the OpenCV library. One notable aspect is the necessity to capture multiple UI screenshots through page transitions by user input actions for the accurate detection of changes in UI elements. For evaluations, we assigned five Flutter exercise projects to fourth-year bachelor and first-year master engineering students at Okayama University, Japan, and applied the proposed method to their answers. The results confirm the effectiveness of the proposal.

DOI： 10.3390/info15080464

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

The growing demand for Location-based Augmented Reality (LAR) experiences has driven the integration of Visual Simultaneous Localization And Mapping (VSLAM) with Google Street View (GSV) to enhance the accuracy. However, the impact of the ambient light intensity on the accuracy and reliability is underexplored, posing significant challenges in outdoor LAR implementations. This paper investigates the impact of light conditions on the accuracy and reliability of the VSLAM/GSV integration approach in outdoor LAR implementations. This study fills a gap in the current literature and offers valuable insights into vision-based approach implementation under different light conditions. Extensive experiments were conducted at five Point of Interest (POI) locations under various light conditions with a total of 100 datasets. Descriptive statistic methods were employed to analyze the data and assess the performance variation. Additionally, the Analysis of Variance (ANOVA) analysis was utilized to assess the impact of different light conditions on the accuracy metric and horizontal tracking time, determining whether there are significant differences in performance across varying levels of light intensity. The experimental results revealed that a significant correlation (p < 0.05) exists between the ambient light intensity and the accuracy of the VSLAM/GSV integration approach. Through the confidence interval estimation, the minimum illuminance 434 lx is needed to provide a feasible and consistent accuracy. Variations in visual references, such as wet surfaces in the rainy season, also impact the horizontal tracking time and accuracy.

DOI： 10.3390/electronics13152930

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

To enhance user experiences of reaching destinations in large, complex buildings, we have developed a indoor navigation system using Unity and a smartphone called INSUS. It can reset the user location using a quick response (QR) code to reduce the loss of direction of the user during navigation. However, this approach needs a number of QR code sheets to be prepared in the field, causing extra loads at implementation. In this paper, we propose another reset method to reduce loads by recognizing information of naturally installed signs in the field using object detection and Optical Character Recognition (OCR) technologies. A lot of signs exist in a building, containing texts such as room numbers, room names, and floor numbers. In the proposal, the Sign Image is taken with a smartphone, the sign is detected by YOLOv8, the text inside the sign is recognized by PaddleOCR, and it is compared with each record in the Room Database using Levenshtein distance. For evaluations, we applied the proposal in two buildings in Okayama University, Japan. The results show that YOLOv8 achieved mAP@0.5 0.995 and mAP@0.5:0.95 0.978, and PaddleOCR could extract text in the sign image accurately with an averaged CER% lower than 10%. The combination of both YOLOv8 and PaddleOCR decreases the execution time by 6.71s compared to the previous method. The results confirmed the effectiveness of the proposal.

DOI： 10.3390/network4030014

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Collecting reference papers from the Internet is one of the most important activities for progressing research and writing papers about their results. Unfortunately, the current process using Google Scholar may not be efficient, since a lot of paper files cannot be accessed directly by the user. Even if they are accessible, their effectiveness needs to be checked manually. In this paper, we propose a reference paper collection system using web scraping to automate paper collections from websites. This system can collect or monitor data from the Internet, which is considered as the environment, using Selenium, a popular web scraping software, as the sensor; this examines the similarity against the search target by comparing the keywords using the Bert model. The Bert model is a deep learning model for natural language processing (NLP) that can understand context by analyzing the relationships between words in a sentence bidirectionally. The Python Flask is adopted at the web application server, where Angular is used for data presentations. For the evaluation, we measured the performance, investigated the accuracy, and asked members of our laboratory to use the proposed method and provide their feedback. Their results confirm the method’s effectiveness.

DOI： 10.3390/electronics13142700

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-taiwan62264.2024.10674397

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-taiwan62264.2024.10674115

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Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/gem61861.2024.10585480

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/gem61861.2024.10585557

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

The Flutter framework with Dart programming allows developers to effortlessly build applications for both web and mobile from a single codebase. It enables efficient conversions to native codes for mobile apps and optimized JavaScript for web browsers. Since utilizing a wide range of widgets in Flutter ensures consistent experiences on various devices for users, it becomes crucial in programming education by providing a unified environment for learning app development while reducing the need for platform-specific knowledge. However, the setup of the Flutter environment is challenging for novice students due to its multiple steps, such as installing dependencies and configuring environments. To support independent learning for these students, it is essential to simplify the setup by providing user-friendly instructions and automated tools. In this paper, we present a Docker-based environment for Flutter app developments across Windows, Linux, and Mac through Visual Studio Code, ensuring a unified learning experience. This paper aims to simplify complex configurations and address the obstacles encountered by students when initiating Flutter projects. For the evaluation, we prepared three simple Flutter projects along with the setup environment in a Docker container. Then, we asked 24 Master’s students at Okayama University, Japan, to install the environment and modify the source codes in the projects independently by following the given instructions. The results show that all the students successfully completed the assignments, which confirms the efficiency and validity of our proposal.

DOI： 10.3390/info15040191

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

With the wide applications of the Internet of Things (IoT) in smart home systems, IEEE 802.11n Wireless Local Area Networks (WLANs) have become a frequently chosen communication technology due to their adaptability and affordability. In a high-density network of devices such as the smart home scenerio, a host often meets interferences from other devices and unequal Received Signal Strength (RSS) from Access Points (APs). This results in throughput unfairness/insufficiency problems between hosts communicating concurrently in WLAN. Previously, we have studied the throughput request satisfaction method to address this problem. It calculates the target throughput from measured single and concurrent throughputs of hosts and controls the actual throughput at this target one by applying traffic shaping at the AP. However, the insufficiency problem of maximizing the throughput is not solved due to interferences from other hosts. In this paper, we present an extension of the throughput request satisfaction method to maximize the throughput of a high-priority host under concurrent communications. It recalculates the target throughput to increase the actual throughput as much as possible while the other hosts satisfy the least throughput. For evaluations, we conduct experiments using the test-bed system with Raspberry Pi as the AP devices in several topologies in indoor environments. The results confirm the effectiveness of our proposal.

DOI： 10.3390/s24072173

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/iciet60671.2024.10542804

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/iciet60671.2024.10542814

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, display, and analysis of sensor data on a single platform. Recently, Artificial Intelligence (AI) has become very popular and widely used in various applications including IoT. To support this growth, the integration of AI into SEMAR is essential to enhance its capabilities after identifying the current trends of applicable AI technologies in IoT applications. In this paper, we first provide a comprehensive review of IoT applications using AI techniques in the literature. They cover predictive analytics, image classification, object detection, text spotting, auditory perception, Natural Language Processing (NLP), and collaborative AI. Next, we identify the characteristics of each technique by considering the key parameters, such as software requirements, input/output (I/O) data types, processing methods, and computations. Third, we design the integration of AI techniques into SEMAR based on the findings. Finally, we discuss use cases of SEMAR for IoT applications with AI techniques. The implementation of the proposed design in SEMAR and its use to IoT applications will be in future works.

DOI： 10.3390/info15030153

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Authorship：Corresponding author  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Outdoor Location-Based Augmented Reality (LAR) applications require precise positioning for seamless integrations of virtual content into immersive experiences. However, common solutions in outdoor LAR applications rely on traditional smartphone sensor fusion methods, such as the Global Positioning System (GPS) and compasses, which often lack the accuracy needed for precise AR content alignments. In this paper, we introduce an innovative approach to enhance LAR anchor precision in outdoor environments. We leveraged Visual Simultaneous Localization and Mapping (VSLAM) technology, in combination with innovative cloud-based methodologies, and harnessed the extensive visual reference database of Google Street View (GSV), to address the accuracy limitation problems. For the evaluation, 10 Point of Interest (POI) locations were used as anchor point coordinates in the experiments. We compared the accuracies between our approach and the common sensor fusion LAR solution comprehensively involving accuracy benchmarking and running load performance testing. The results demonstrate substantial enhancements in overall positioning accuracies compared to conventional GPS-based approaches for aligning AR anchor content in the real world.

DOI： 10.3390/s24041161

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

A web-based Java programming learning assistant system (JPLAS) has been developed for novice students to study Java programming by themselves while enhancing code reading and code writing skills. One type of the implemented exercise problem is code writing problem (CWP), which asks students to create a source code that can pass the given test code. The correctness of this answer code is validated by running them on JUnit. In previous works, a Python-based answer code validation program was implemented to assist teachers. It automatically verifies the source codes from all the students for one test code, and reports the number of passed test cases by each code in the CSV file. While this program plays a crucial role in checking the correctness of code behaviors, it cannot detect code plagiarism that can often happen in programming courses. In this paper, we implement a code plagiarism checking function in the answer code validation program, and present its application results to a Java programming course at Okayama University, Japan. This function first removes the whitespace characters and the comments using the regular expressions. Next, it calculates the Levenshtein distance and similarity score for each pair of source codes from different students in the class. If the score is larger than a given threshold, they are regarded as plagiarism. Finally, it outputs the scores as a CSV file with the student IDs. For evaluations, we applied the proposed function to a total of 877 source codes for 45 CWP assignments submitted from 9 to 39 students and analyzed the results. It was found that (1) CWP assignments asking for shorter source codes generate higher scores than those for longer codes due to the use of test codes, (2) proper thresholds are different by assignments, and (3) some students often copied source codes from certain students.

DOI： 10.3390/analytics3010004

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce59016.2024.10444306

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Publishing type：Research paper (scientific journal)   Publisher：EJournal Publishing  

C programming has been a fundamental subject for a lot of university students studying programming lan guages, algorithms, and computer architecture. To enhance C programming education in schools, we have developed the C Programming Learning Assistant System (CPLAS) which provides a variety of programming assignments to cover different learning stages. The programming assignments offered by CPLAS allow the students to practice writing partial source code to learn grammar, code reading, and code debugging skills. However, the current assignments offered by CPLAS do not cover students to practice writing the whole C source code from scratch. Therefore, in this paper, we propose the Code Writing Problem (CWP) for students to write the C source code from scratch. In a CWP instance, a problem statement, an input list, and an expected output are given to the students. The students need to write the C source code from scratch by referring to the given information. The answer codes are marked through 1) compiling test, 2) execution test, and 3) output test. To avoid cheating by students, we use the random input generation method for each data type. To evaluate the proposal, we generated and assigned 11 CWP instances to the students. From their solution results, 10 out of 11 CWP instances achieved over 78% correct answer rate, and the feedback from the students confirmed the validity of the proposal.

DOI： 10.18178/ijlt.10.2.261-269

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Publishing type：Research paper (scientific journal)  

DOI： 10.18178/ijiet.2023.13.11.1995

Scopus

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Publishing type：Research paper (scientific journal)  

DOI： 10.17706/jsw.18.4.218-227

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Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/apsipaasc58517.2023.10317354

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-asia59966.2023.10326368

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-asia59966.2023.10326341

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Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-asia59966.2023.10326363

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icvee59738.2023.10348237

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/gcce59613.2023.10315469

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/icce-berlin58801.2023.10375631

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Publishing type：Research paper (scientific journal)  

DOI： 10.18178/ijiet.2023.13.9.1948

Scopus

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/ies59143.2023.10242575

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Publishing type：Research paper (scientific journal)  

DOI： 10.3390/s23146367

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Publishing type：Research paper (scientific journal)  

DOI： 10.3390/info14060312

Scopus

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Publishing type：Research paper (scientific journal)  

DOI： 10.3390/signals4020015

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Publishing type：Research paper (scientific journal)  

DOI： 10.3390/a16010045

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICIET56899.2023.10111422

Scopus

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICCE-Taiwan58799.2023.10226698

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Other Link： https://dblp.uni-trier.de/db/conf/icce-tw/icce-tw2023.html#LuFUK23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1145/3617733.3617736

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Other Link： https://dblp.uni-trier.de/db/conf/icccm/icccm2023.html#LuFUK23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315422

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#ZhangKHFH23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315351

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#KongZFHKH23

Publishing type：Research paper (scientific journal)  

DOI： 10.3390/info14070359

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Publishing type：Research paper (scientific journal)  

DOI： 10.3390/info14060300

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

DOI： 10.1145/3628454.3631856

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Other Link： https://dblp.uni-trier.de/db/conf/iait/iait2023.html#LuFWAMK23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315512

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#NaingFWA23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315607

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#AnggrainiXFHSF23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315417

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#PandumanFS23

Publishing type：Research paper (scientific journal)  

DOI： 10.48550/arXiv.2302.14197

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/APSIPAASC58517.2023.10317492

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Other Link： https://dblp.uni-trier.de/db/conf/apsipa/apsipa2023.html#UraKF23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/APSIPAASC58517.2023.10317291

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Other Link： https://dblp.uni-trier.de/db/conf/apsipa/apsipa2023.html#TanakaKF23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/APSIPAASC58517.2023.10317147

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Other Link： https://dblp.uni-trier.de/db/conf/apsipa/apsipa2023.html#AkaiKF23

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICVEE59738.2023.10348201

Scopus

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/IES59143.2023.10242504

Scopus

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/s22228823

Web of Science

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Authorship：Corresponding author   Language：English  

Publishing type：Research paper (scientific journal)  

DOI： 10.18178/ijiet.2022.12.11.1733

Scopus

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Publishing type：Research paper (scientific journal)  

DOI： 10.18178/ijiet.2022.12.11.1736

Scopus

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Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Currently, the User-PC computingsystem (UPC) has been studied as a low-cost and high-performance distributed computing platform. It uses idling resources of personal computers (PCs) in a group. The job-worker assignment for minimizing makespan is critical to determine the performance of the UPC system. Some applications need to execute a lot of uniform jobs that use the identical program but with slightly different data, where they take the similar CPU time on a PC. Then, the total CPU time of a worker is almost linear to the number of assigned jobs. In this paper, we propose a static assignment algorithm of uniform jobs to workers in the UPC system, using simultaneous linear equations to find the lower bound on makespan, where every worker requires the same CPU time to complete the assigned jobs. For the evaluations of the proposal, we consider the uniform jobs in three applications. In OpenPose, the CNN-based keypoint estimation program runs with various images of human bodies. In OpenFOAM, the physics simulation program runs with various parameter sets. In code testing, two open-source programs run with various source codes from students for the Android programming learning assistance system (APLAS). Using the proposal, we assigned the jobs to six workers in the testbed UPC system and measured the CPU time. The results show that makespan was reduced by 10% on average, which confirms the effectiveness of the proposal.

DOI： 10.3390/a15100369

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English  

Publishing type：Research paper (scientific journal)  

DOI： 10.3390/s22176436

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Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

DOI： 10.1145/3556223.3556250

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Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

DOI： 10.1145/3556223.3556227

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/iccci55554.2022.9850241

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English  

Authorship：Corresponding author   Language：English  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Publishing type：Research paper (scientific journal)  

DOI： 10.3390/info13050211

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech53646.2022.9754790

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2022.html#PuspitaningayuF22

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech53646.2022.9754807

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2022.html#HtetFKZSAK22

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech53646.2022.9754593

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2022.html#LuCFKU22

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech53646.2022.9754593

Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2022.html#LuCFKU22

Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-031-14463-9_16

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Other Link： https://dblp.uni-trier.de/db/conf/cdmake/cdmake2022.html#KuribayashiKF22

Publishing type：Research paper (scientific journal)  

DOI： 10.4018/ijmcmc.301275

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Publishing type：Research paper (scientific journal)  

DOI： 10.12720/jcm.17.8.592-599

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Publishing type：Research paper (scientific journal)  

DOI： 10.3169/mta.10.198

Scopus

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICIET55102.2022.9778953

Scopus

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Language：English   Publisher：The Institute of Image Information and Television Engineers  

C programming is taught in introductory programming courses in many universities across the world. To assist self-studies of novice students, we have developed C programming learning assistant system (CPLAS). In this paper, we study the grammar-concept understanding problem (GUP) in CPLAS for first-step studies of understanding grammar concepts in C programming. Each question describes the definition of a keyword in a source code and requests to answer it. Any answer is verified through string matching. If a student cannot answer questions, he/she does not understand basic concepts and may be lost in C programming study. For GUP, we selected 66 keywords with questions, and generated 35 instances that cover them. The assignment results to 130 undergraduate students in Okayama and Nihon Universities revealed the difficult keywords and learning progresses of students.

DOI： 10.3169/mta.10.198

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.iot.2022.100583

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Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/CANDARW53999.2021.00051

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Other Link： https://dblp.uni-trier.de/db/conf/ic-nc/candar2021w.html#KamoyedjiFHK21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/GCCE59613.2023.10315660

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2023.html#MonQWFK23

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

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Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/GCCE53005.2021.9621949

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Other Link： https://dblp.uni-trier.de/db/conf/gcce/gcce2021.html#LuQFAHLK21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

DOI： 10.1109/3ICT53449.2021.9581553

Scopus

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：Emerald  

<sec>
<title content-type="abstract-subheading">Purpose</title>
This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently.


</sec>
<sec>
<title content-type="abstract-subheading">Design/methodology/approach</title>
PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching.


</sec>
<sec>
<title content-type="abstract-subheading">Findings</title>
The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.


</sec>
<sec>
<title content-type="abstract-subheading">Originality/value</title>
The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.


</sec>

DOI： 10.1108/ijwis-03-2021-0025

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Other Link： https://www.emerald.com/insight/content/doi/10.1108/IJWIS-03-2021-0025/full/html

Authorship：Lead author,　Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/ICCE-TW52618.2021.9603085

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Other Link： https://dblp.uni-trier.de/db/conf/icce-tw/icce-tw2021.html#FunabikiLSHKUK21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/ICCE-TW52618.2021.9603037

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Other Link： https://dblp.uni-trier.de/db/conf/icce-tw/icce-tw2021.html#PuspitaningayuF21

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-030-79725-6_71

Web of Science

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

DOI： 10.1145/3479162.3479176

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Other Link： https://dblp.uni-trier.de/db/conf/icccm/icccm2021.html#HtetFKZK21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

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Other Link： https://dblp.uni-trier.de/db/journals/ieicetd/ieicetd104.html#MuneneFBRAKK21

Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

DOI： 10.1007/s42979-021-00580-1

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Other Link： http://link.springer.com/article/10.1007/s42979-021-00580-1/fulltext.html

Authorship：Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：Emerald  

<sec>
<title content-type="abstract-subheading">Purpose</title>
To advance Java programming educations, the authors have developed a Web-based Java programming learning assistant system (JPLAS). It offers the element fill-in-blank problem (EFP) for novice students to study Java grammar and basic programming skills by filling in the missing elements in a source code. An EFP instance can be generated by selecting an appropriate code, and applying the blank element selection algorithm. As it is expected to cover broad grammar topics, a number of EFP instances have been generated. This paper aims to propose a recommendation function to guide a student solving the proper EFP instances among them.


</sec>
<sec>
<title content-type="abstract-subheading">Design/methodology/approach</title>
This function considers the difficulty level of the EFP instance and the grammar topics that have been correctly answered by the student, and is implemented at the offline answering function of JPLAS using JavaScript so that students can use it even without the Internet connections.


</sec>
<sec>
<title content-type="abstract-subheading">Findings</title>
To evaluate the effectiveness of the proposal, 85 EFP instances are prepared to cover various grammar topics, and are assigned to a total of 92 students in two universities in Myanmar and Indonesia to solve them using the recommendation function. Their solution results confirmed the effectiveness of the proposal.


</sec>
<sec>
<title content-type="abstract-subheading">Originality/value</title>
The concept of the difficulty level for an EFP instance is newly defined for the proper recommendation, and the accuracy in terms of the average numbers of answer submission times among the students is verified.


</sec>

DOI： 10.1108/ijwis-11-2020-0070

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Other Link： https://www.emerald.com/insight/content/doi/10.1108/IJWIS-11-2020-0070/full/html

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICIET51873.2021.9419621

Web of Science

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech52111.2021.9391784

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2021.html#LuFKAD21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech52111.2021.9391812

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2021.html#LuAKFAS21

Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

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Other Link： https://dblp.uni-trier.de/db/journals/ijnc/ijnc11.html#BriantoroFRMKK21

Publishing type：Research paper (scientific journal)  

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Other Link： https://dblp.uni-trier.de/db/journals/corr/corr2107.html#abs-2107-02961

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/LifeTech52111.2021.9391894

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Other Link： https://dblp.uni-trier.de/db/conf/lifetech/lifetech2021.html#KyawFK21

Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

DOI： 10.1145/3437880.3460402

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Other Link： https://dblp.uni-trier.de/db/conf/ih/ihmmsec2021.html#KuribayashiTSYF21

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

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Other Link： https://dblp.uni-trier.de/rec/conf/apsipa/2021

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/CANDARW51189.2020.00093

Scopus

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Authorship：Lead author   Publishing type：Research paper (scientific journal)  

DOI： 10.4018/IJMCMC.2020100101

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

DOI： 10.1109/ICCE-Taiwan49838.2020.9258012

Scopus

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Language：English   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (scientific journal)  

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Authorship：Corresponding author   Publishing type：Research paper (scientific journal)  

DOI： 10.25046/aj0505145

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.4018/IJMCMC.2020040102

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1145/3395245.3396198

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Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ICST  

DOI： 10.1145/3395245.3396407

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Engineering and Technology Publishing  

DOI： 10.12720/jcm.15.1.81-87

Scopus

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

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Other Link： https://dblp.uni-trier.de/conf/apsipa/2020

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

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Other Link： https://dblp.uni-trier.de/conf/apsipa/2020

Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

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Other Link： https://dblp.uni-trier.de/conf/apsipa/2020

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/CANDARW51189.2020.00015

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Other Link： https://dblp.uni-trier.de/db/conf/ic-nc/candar2020w.html#BriantoroFMRAKK20

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-3-030-61108-8_15

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Other Link： https://dblp.uni-trier.de/db/conf/bwcca/bwcca2020.html#HudaFKSIK20

Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical and Electronics Engineers ({IEEE})  

DOI： 10.1109/tifs.2019.2956587

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1108/IJWIS-07-2019-0032

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Advances in Intelligent Systems and Computing  

DOI： 10.1007/978-3-030-29029-0_23

Scopus

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/CANDARW51189.2020.00066

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Other Link： https://dblp.uni-trier.de/db/conf/ic-nc/candar2020w.html#AkhterTNKF20

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/CANDARW51189.2020.00093

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Other Link： https://dblp.uni-trier.de/db/conf/ic-nc/candar2020w.html#XiqinFKAD20

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

DOI： 10.1007/978-3-030-22354-0_60

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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DOI： 10.1504/IJSSC.2019.100017

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DOI： 10.1108/IJWIS-08-2019-0038

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DOI： 10.25046/aj040411

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DOI： 10.25046/aj040602

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Publishing type：Research paper (scientific journal)   Publisher：IEEE  

DOI： 10.1108/IJWIS-07-2019-0032

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Publishing type：Research paper (scientific journal)  

DOI： 10.1587/transinf.2018MUP0003

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.12720/jcm.14.11.1009-1016

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Publishing type：Research paper (scientific journal)   Publisher：IEEE  

DOI： 10.1017/ATSIP.2018.28

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.17706/jsw.14.5.200-208

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

DOI： 10.1007/978-3-319-93659-8_78

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Universitas Ahmad Dahlan  

DOI： 10.12928/TELKOMNIKA.v16i6.10152

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DOI： 10.1016/j.jisa.2018.06.002

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DOI： 10.1587/transfun.E101.A.119

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DOI： 10.1007/978-3-319-63856-0_47

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1504/IJSSC.2018.097286

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Publisher：IEEE  

DOI： 10.1109/ITW.2018.8613319

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DOI： 10.1109/APSIPA.2017.8282268

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DOI： 10.1007/978-3-319-53465-7_28

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Language：English   Publishing type：Part of collection (book)   Publisher：Springer Science and Business Media Deutschland GmbH  

DOI： 10.1007/978-3-319-49106-6_31

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DOI： 10.1007/978-3-319-22425-1_16

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：IJNC Editorial Committee  

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-319-12160-4_26

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DOI： 10.1007/978-3-319-12160-4_22

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-642-37682-5_35

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Publishing type：Part of collection (book)   Publisher：Springer Netherlands  

DOI： 10.1007/978-94-007-5651-9_3

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/CISIS.2012.121

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Language：English  

DOI： 10.1007/978-1-4614-1695-1_10

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Publisher：IEEE  

DOI： 10.1109/BWCCA.2012.91

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Language：English   Publisher：Information and Media Technologies Editorial Board  

Recently, ubiquitous Internet-access services have been provided by Internet service providers (ISPs) by deploying wireless local area networks (LANs) in public spaces including stations, hotels, and coffee shops. The IEEE802.1X protocol is usually used for user authentications to allow only authorized users to access services. Then, although user personal information of access locations, services, and operations can be easily collected by ISPs and thus, their strict management has been demanded, it becomes very difficult when multiple ISPs provide roaming services by their corporations. In this paper, we present an anonymous IEEE802.1X authentication system using a group signature scheme to allow user authentication without revealing their identities. Without user identities, ISPs cannot collect personal information. As an efficient revocable group signature scheme, we adopt the verifier-local revocation (VLR) type with some modifications for use of the fast pairing computation. We show the implementation of our proposal and evaluation results where the practicality of our system is confirmed for up to 1, 000 revoked users.

DOI： 10.11185/imt.5.751

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Information Processing Society of Japan  

DOI： 10.2197/ipsjjip.18.63

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Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ISCE.2009.5156917

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ISCE.2009.5156885

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Information Processing Society of Japan  

DOI： 10.2197/ipsjjip.16.110

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Language：English   Publisher：Information and Media Technologies Editorial Board  

Group signature schemes with membership revocation have been intensively researched. In this paper, we propose revocable group signature schemes with less computational costs for signing/verification than an existing scheme without the update of the signer's secret keys. The key idea is the use of a small prime number embedded in the signer's secret key. By using simple prime integer relations between the secret prime and the public product of primes for valid or invalid members, the revocation is efficiently ensured. To show the practicality, we implemented the schemes and measured the signing/verification times in a common PC (Core2 DUO 2.13GHz). The times are all less than 0.5 seconds even for relatively large groups (10, 000 members), and thus our schemes are sufficiently practical.

DOI： 10.11185/imt.3.768

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1145/1368310.1368359

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-540-79549-0_28

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/scj.10668

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/scj.10534

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DOI： 10.1093/ietfec/e89-a.5.1275

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/11593447_29

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

DOI： 10.1093/ietfec/e88-a.5.1234

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICON.2004.1409241

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/scj.10482

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1002/ecjc.1102

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

DOI： 10.1007/3-540-45803-4_18

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/ICSMC.2001.972986

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Scripta Technica Inc  

DOI： 10.1002/(SICI)1520-6440(200011)83:11<11::AID-ECJC2>3.0.CO;2-D

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc.  

DOI： 10.1002/(sici)1520-6440(199912)82:12<34::aid-ecjc4>3.0.co;2-5

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Scripta Technica Inc  

DOI： 10.1002/(SICI)1520-6440(199711)80:11<12::AID-ECJC2>3.0.CO;2-U

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICNN.1997.616215

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper presents maximum neural network algorithms for N-queen problems using the maximum neuron model. The maximum neuron model is proposed by Takefuji et al. in order to provide efficient neural network solutions for combinatorial optimization problems. In this model, one and only one neuron id always fired in each group of neurons, which can not only reduce the searching space drastically but also save the computation load. The simulation results show that the performance of our maximum neural network surpasses the existing neural network for the same problem. Particularly, the maximum neural network in shown to be much suitable for the semi-synchronous computation.

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Other Link： http://id.nii.ac.jp/1001/00013567/

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&lt;p&gt;A novel computational model for large-scale maximum clique problems is proposed and tested. The maximum clique problem is first formulated as an unconstrained quadratic zero-one programming and it is solved by minimizing the weight summation over the same partition in a newly constructed graph. The proposed maximum neural network has the following advantages: (1) coefficient-parameter tuning in the motion equation is not required in the maximum neural network while the conventional neural networks suffer from it; (2) the equilibrium state of the maximum neural network is clearly defined in order to terminate the algorithm, while the existing neural networks do not have the clear definition; and (3) the maximum neural network always allows the state of the system to converge to the feasible solution, while the existing neural networks cannot guarantee it. The proposed parallel algorithm for large-size problems outperforms the best known algorithms in terms of computation time with much the same solution quality where the conventional branch-and-bound method cannot be used due to the exponentially increasing computation time.&lt;/p&gt;

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Language：English  

&lt;p&gt;The max cut problem, one of the NP-complete problems, was chosen to test the capability of an artificial neural network. The algorithm based on the maximum neural network was tested by 1000 randomly generated examples, including up to 300 vertex problems. The simulation result shows that the proposed parallel algorithm using the maximum neural network generates better solutions than Hsu&#039;s algorithm within one hundred iteration steps, regardless of the problem size.&lt;/p&gt;

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&lt;p&gt;The circuit of the maximum neural network based on the switched capacitor technique is proposed. The performance of the proposed circuit was derived from SPICE simulation. The bipartite subgraph problem is solved by using the proposed circuit. The SPICE simulation result confirms the function of the network. Because the complexity of the proposed analog circuit is so small, it is possible to fabricate an optimization system in a single chip.&lt;/p&gt;

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Language：Japanese   Publisher：日本音響学会  

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Authorship：Corresponding author   Publishing type：Research paper, summary (national, other academic conference)  

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Language：Japanese   Publisher：日本音響学会  

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Language：Japanese   Publisher：映像情報メディア学会