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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Ali Alheeti, Khattab M. Najim, Ali Hamza Satar, Nurhizam Safie Mohd Aliesawi, Salah A. Hashim, Aisha Hassan Abdallah Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia College of Computer and Information Technology Department of Computer Networking Systems University of Anbar Anbar Iraq Faculty of Engineering Department of Electrical and Computer Engineering International Islamic University Malaysia Selangor Malaysia

ISBN: (纸本)9798350369106

This study addresses the critical aspect of data collection within Wireless Sensor Networks (WSNs), which consist of autonomous, compact sensor devices deployed to monitor environmental conditions. These networks have limited processing capacity, storage, short-range communication capabilities, and constrained battery power. A primary challenge in WSN s revolves around data gathering, particularly when employing static sinks, leading to premature energy depletion in nodes near these sinks. Integrating mobile collectors introduces the potential for energy conservation by shortening data routes. This article introduces three distinct algorithms for optimizing data collection in WSN s. Our approach involves an in-depth analysis of diverse strategies to mitigate packet collisions and facilitate the retransmission of lost packets. Our findings underscore the considerable impact that packet collisions can exert on the overall network performance during data gathering within wireless sensor networks. Through empirical exploration and analysis, we highlight the significance of these algorithms in enhancing the efficiency, energy conservation, and reliability of data collection processes within WSNs. This research sheds light on these algorithms' vital role in addressing the pressing challenges of data gathering and network performance optimization in wireless sensor networks. © 2024 IEEE.

关键词： Aircraft accidents

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A Memory Consolidation Model Based on Neuromodulation Mechanisms in the Human Brain

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Journal of The Institution of Engineers (India): Series B 2025年 1-19页

作者： Nong, Xinzhe Wang, Dongshu School of Electrical and Information Engineering Zhengzhou University Henan Zhengzhou450001 China Innovation Center of Intelligent Systems Longmen Laboratory Luoyang471000 China State Key Laboratory of Intelligent Agricultural Power Equipment Henan Luoyang471004 China

It is critical for the realization of artificial intelligence that the human brain learns and remembers in unknown environments. The Lobe Component Analysis-based developmental network, which has the structure of autonomous development and the mechanism of simulating synaptic signaling, is a suitable model to study the simulation of brain intelligence. However, the existing models of developmental networks lack neural regulation mechanisms linked to different functional regions of the brain, cannot simulate the decision generation of the whole brain nervous system. They have poor adaptability and weak learning ability in variable and unknown environments. Considering these limitations, this study proposes a developmental network model that simulates the human brain’s learning and consolidation of new knowledge in unknown environments by combining the consolidation mechanism of memory and the physiological basis of the brain’s neuromodulation mechanism, which can guide the robot’s behavioral decision-making to adapt to unknown environments more quickly. The superiority of this model is verified by the robot navigation experiment. © The Institution of Engineers (India) 2025.

关键词： Robots

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Basic Study on Airbag-based Stationary Type Bracing System for Treatment of Scoliosis

Basic Study on Airbag-based Stationary Type Bracing System f...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Kamo, A. Uehara, A. Kawamoto, H. Sankai, Y. University of Tsukuba Department of Intelligent and Mechanical Interaction Systems 1-1-1 Tennodai Tsukuba305-8577 Japan University of Tsukuba Institute of Systems and Information Engineering Center for Cybernics Research 1-1-1 Tennodai Tsukuba305-8577 Japan

ISBN: (纸本)9798331531614

Scoliosis is a condition characterized by an abnormal curvature of the spine, which may develop idiopathically during growth or as a result of neurogenic or myogenic diseases. As scoliosis progresses, it can exert pressure on internal organs, disrupt cardiac rhythm, and cause breathing difficulties, particularly in the sitting posture. Early detection and consistent use of an orthosis are essential to manage the progression of scoliosis effectively and to correct the patient's posture. Conventional orthotic devices face challenges in measuring and controlling the pressure applied to different areas of the torso, as well as in adjusting the bracing force in response to changes in symptoms. This study aims to develop a novel system incorporating airbags that can dynamically adjust the bracing force through air pressure modulation. The system is designed to measure and control the corrective force required for scoliosis treatment, in a sitting position, and to integrate with a chair for practical application. Its basic performance was evaluated through functional experiments. We developed a prototype system capable of automatically applying force at three specific points by adjusting the air pressure in airbags using solenoid valves and air pumps controlled by a microprocessor. To assess its performance, experiments were conducted on a mannequin to apply a prescribed corrective force to three lateral points. The pressure range tested was between 30 kPa and 80 kPa, with increments of 10 kPa. The results demonstrated that the system could reliably apply the prescribed pressure to the mannequin at all tested levels, with an error margin comparable to that of existing adjustable orthotic devices. In conclusion, the experiments confirmed the basic performance of the developed system for scoliosis treatment, indicating its potential utility in clinical applications. © 2025 IEEE.

关键词： Solenoid valves

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Communication Method Based on Pupil Diameter Changes for Amyotrophic Lateral Sclerosis (ALS) Patients: A System Designed for Adaptation to Symptom Progression

Communication Method Based on Pupil Diameter Changes for Amy...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Sawada, N. Uehara, A. Kawamoto, H. Sankai, Y. University of Tsukuba Department of Intelligent and Mechanical Interaction Systems 1-1-1 Tennodai Tsukuba305-8577 Japan University of Tsukuba Institute of Systems and Information Engineering Center for Cybernics Research 1-1-1 Tennodai Tsukuba305-8577 Japan

ISBN: (纸本)9798331531614

Patients with severe physical disabilities owing to amyotrophic lateral sclerosis (ALS) typically have normal cognitive function;however, they often experience difficulties with speech, writing, and oculomotor functions as their symptoms progress. There is a need for a consistent communication system that can adapt to these progressing symptoms. The ability to modulate pupil diameter remains intact in patients who experience difficulties with eye movements, speech, and writing owing to ALS. This study focuses on the behavior of changes in pupil diameter when attention is directed to a target with periodic changes in light intensity. The purpose of this study is to develop a communication system that consistently adapts to the progression of symptoms, based not on eye movement but on changes in pupil diameter, enabling patients with severe disabilities due to ALS to communicate daily, even when their eye movement symptoms worsen. Additionally, the study aims to confirm the feasibility of the developed system for communication that reflects the intentions of patients with ALS. We developed a wearable communication system with a head-mounted display (HMD) that can be used in any situation. Users can express "Yes"or "No"to their surroundings without moving their gaze, directing attention solely to the target. Targets are displayed on the HMD and flicker periodically in different phases. The intention-estimation algorithm determines which target the user selects based on the pattern of changes in pupil diameter. To evaluate the system's performance, an experiment was conducted with one patient with ALS who has difficulty with speech and writing. The results showed that the accuracy of intention estimation for yes/no responses was 100 %, and the average time to estimate the intention was 6.88 s. In conclusion, we confirmed the feasibility of a daily communication system based on pupil diameter for patients with severe disabilities because of ALS. © 2025 IEEE.

关键词： Helmet mounted displays

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The possibility of data integration of drive-by monitoring and direct bridge monitoring 8th

The possibility of data integration of drive-by monitoring a...

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8th International Symposium on Life-Cycle Civil engineering, IALCCE 2023

作者： Miyagi, M. Shin, R. Mudahemuka, E. Yamamoto, K. School of Science and Engineering University of Tsukuba Japan Graduate School of Science and Technology Japan Institute of Systems and Information Engineering/Center for Artificial Intelligence Research University of Tsukuba Japan

ISBN: (纸本)9781003323020

The VBISI (Vehicle-Bridge Interaction System Identification) method is a drive-by monitoring method that measures and collects a large amount of vibration and route data from a group of vehicles, and simultaneously identifies the mechanical parameters of each vehicle and the bridges. The identification process randomly assumes the mechanical parameters of each vehicle and bridge, and solves two processes, namely the vehicle IEP (Input Estimation Problem) and the bridge DRS (Dynamic Response Simulation) to estimate the road unevenness. Bridge DRS is not required if bridge vibration data is available. However, if the bridge DRS is replaced by the measured value, the identification accuracy tends to decrease. Therefore, this study proposes a method to obtain the maximum likelihood value of bridge vibration from DRS-estimated values and measured values using sequential processing. © 2023 The Author(s).

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Research on Traffic Accident Prediction Model Based on Graph Convolutional Neural Network and Its Transferability

Research on Traffic Accident Prediction Model Based on Graph...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhang, Hui Gao, Hua Tian, Kai Ding, Naikan Zou, Yilong Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China Engineering Research Center of Transportation Information and Safety Ministry of Education of the P. R. China Wuhan430063 China

ISBN: (纸本)9789819639564

With increasing urbanization and expanded transportation, traffic accidents have become more frequent, causing significant societal harm. While the rise of IoT and mobile communication technologies provides access to diverse traffic data, the complexity of this data requires advanced processing methods. Current deep learning-based traffic accident prediction models often lack sufficient spatial-temporal correlation extraction, struggle with data sparsity, and fail to model interconnected urban traffic tasks effectively. This paper addresses these challenges by: 1) proposing a multi-channel spatial-temporal graph neural network model that integrates time attention mechanisms, GCN, and GRU modules to extract spatial-temporal features, demonstrating superior performance across multiple datasets compared to baseline models;and 2) addressing the challenge of sparse traffic data in target cities through an adversarial domain adaptation approach, leveraging an enhanced multi-channel spatial-temporal graph neural network as a feature extractor and optimizing it with a domain classifier to reduce distribution differences between source and target domains, thereby assisting in target domain prediction. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Urban transportation

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A Design and Comparative Investigation of Graded AlxGa1–xN EBL for W-B0.375Ga N/W-B0.45GaN Edge Emitting Laser Diode on AlN Substrate

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Chinese Journal of Electronics 2022年第4期31卷 683-689页

作者： NIASS Mussaab I. WANG Fang LIU Yuhuai National Center for International Joint Research of Electronic Materials and Systems International Joint-Laboratory of Electronic Materials and Systems of Henan Province School of Information EngineeringZhengzhou University Zhengzhou Way Do Electronics Co.Ltd. Research Institute of Industrial Technology Co.Ltd. Zhengzhou University Institute of Materials and Systems for Sustainability Nagoya University

In this paper, we numerically demonstrated the possibility of using wurtzite boron gallium nitride(W-BGa N) as active layers(quantum well and quantum barriers) along with aluminum gallium nitride(Al Ga N) to achieve lasing at a deep ultraviolet range at 263nm for edge emitting laser diode. The laser diode structure simulations were conducted by using the CrosslightLASTIP software with a self-consistency model for varies quantity calculations. Moreover, multiple designed structures such as full and half have been achieved as well as the study of the effect of grading engineering/techniques at the electron blocking layer for linearly-graded-down and linearly-graded-up grading techniques were also emphasized. As a result, a maximum emitted power of 26 W,a minimum threshold current of 308 m A, a slope efficiency of 2.82 W/A, and a minimum p-type resistivity of0.228 Ω·cm from the different doping concentrations and geometrical distances were thoroughly observed and jotted down.

关键词： Edge emitting laser diodes (EELD) Semiconducting aluminum compounds Heterojunction semiconductor devices Quantum wells

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A design and control method for Pole Changing Induction Machine for Traction Application

A design and control method for Pole Changing Induction Mach...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Akatsu, Kan Kato, Naoya Masayoshi, Tsurube Mori, Tomonari Watahiki, Masanori Yokohama National University Division of Intelligent Systems Engineering Department of Faculty of Engineering Kanagawa Japan Yokohama National University Department of Electrical Engineering Kanagawa Japan Nidec Product Technology R&d Center Nidec Corporation Kanagawa Japan

ISBN: (纸本)9798350376067

This paper presents a design method of a Pole Changing Induction Machine (PCIM) with double 3 phase inverter. The winding method and a design of the machine geometry to maximize the advantage of the pole changing IM are shown. Also, a driving method of PCIM which can reduce the torque shock under the pole changing is described. Some simulation and experimental results show the effectiveness of PCIM and torque shock reduction under the high torque conditions. © 2024 IEEE.

关键词： Machine windings

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Study on Wearable Gaze-Based Communication System for Patients with Amyotrophic Lateral Sclerosis (ALS)

Study on Wearable Gaze-Based Communication System for Patien...

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2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Nonoka, Sawada Uehara, Akira Kawamoto, Hiroaki Sankai, Yoshiyuki University of Tsukuba Program in Intelligent and Mechanical Interaction Systems Tennodai 1-1-1 Ibaraki Tsukuba Japan Institute of Systems and Information Engineering Center for Cybernics Research University of Tsukuba Tennodai 1-1-1 Ibaraki Tsukuba Japan

ISBN: (纸本)9798350312072

This study centers its attention on communication among ALS patients with severe symptoms, which is essential to daily life and the part that remains a difficulty. Also, communication is important to promote social participation and ability of independence. To promote social participation and improve the ability of independence without the restrictions for patients, the purpose of this study is to develop a wearable interface that enables communication based on the patient's voluntary intent, without temporal, spatial, or physical restrictions, and to confirm the feasibility of intention transmission using a new text entry algorithm. The developed interface utilized a see-through type head-mounted display (HMD) with a gaze estimation sensor to enable patients themselves to transition between cyberspace and physical space and to communicate by the system without restrictions of posture or usage environment during daily life activities. The letter selection is triggered by a change in the direction of the gaze trajectory. This method of letter selection reduces the burden on the user by avoiding the effects of dwell time and other factors associated with gazing input. The key layout for text input UI considers the characteristics of human eye movements, to minimize key selection errors and allows for quick viewpoint movement. To confirm the feasibility of the basic performance, we conducted the experiment with three able-bodied participants using the developed system and a conventional system as a comparison system, respectively. As a result, the developed system was able to input sentences in the same amount of time as the conventional system. The results show that the developed system has the basic performance of a communication interface with a new character input method based on eye movement functions. Therefore, we confirmed the feasibility of transmitting intention using a new text entry algorithm to enable communication without the restrictions. © 2024 IEEE.

关键词： Eye movements

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Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications

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IEEE Journal on Selected Areas in Communications 2025年第6期43卷 2011-2024页

作者： Ghourab, Esraa M. Azab, Mohamed Gracanin, Denis Al-Qutayri, Mahmoud Muhaidat, Sami Khalifa University 6G Center Department of Computer Science Abu Dhabi127788 United Arab Emirates Virginia Military Institute Department of Computer and Information Sciences VA United States Virginia Tech Department of Computer Science BlacksburgVA24060 United States Center Department of Computer and Information Engineering Abu Dhabi127788 United Arab Emirates Khalifa University 6G Center Department of Computer and Information Engineering Abu Dhabi127788 United Arab Emirates Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada

Extended reality (XR) and 6G networks are set to transform mobile immersive experiences, with privacy and security being paramount in XR communications. Achieving secure and reliable XR experiences while meeting high-resolution and low-latency requirements is challenging for wireless networks. A novel security-aware cross-layer communication management framework is proposed, employing zero-trust spatiotemporal physical layer level manipulations for moving-target defense. Driven by deep reinforcement learning and real-time monitoring, the proposed framework adaptively reprograms the network configuration to maximize the user’s quality of experience (QoE), reduce the overall latency, and minimize the attacker’s intercept probability. The framework was evaluated in a simulated scenario featuring an indirect multi-hop communication setup. The results show that the proposed framework effectively and efficiently secures XR user communications while maintaining QoE, outperforming conventional Q-learning algorithms. © 1983-2012 IEEE.

关键词： Resource allocation

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