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Ga/GaSb nanostructures:Solution-phase growth for highperformance infrared photodetection

Nano Research 2023年第2期16卷 3304-3311页

作者： Huanran Li Su You Yongqiang Yu Lin Ma Li Zhang Qing Yang Hefei National Research Center of Physical Sciences at the Microscale Department of ChemistryLaboratory of Nanomaterials for Energy Conversion(LNEC)University of Science and Technology of China(USTC)Hefei 230026China Micro Electromechanical System Research Center of Engineering and Technology of Anhui Province School of Electrical Science and Applied Physics Hefei University of Technology(HFUT)Hefei 230009China Nano Science and Technology Institute University of Science and Technology of China(USTC)Suzhou 215123China

Gallium antimonide(GaSb)-based nanostructures have been reported via various vapor-phase synthetic routes while there is not a report on the growth of GaSb nanostructures via a complete one-step solution-phase synthetic *** we report the design and synthesis of tadpole-like Ga/GaSb nanostructures by a one-step solution-phase synthetic route typically from the precursors of commercial triphenyl antimony(Sb(Ph)_(3))and trimethylaminogallium(Ga(NMe_(2))_(3))at 260°C in *** GaSb nanocrystals are grown based on a solution–liquid–solid(SLS)mechanism with zinc blende phase,and their size and shape can be controlled in the procedures via manipulating the reaction ***,the tadpole-like Ga/GaSb nanostructures can be applied for the fabrication of a GaSb/Si nanostructured heterojunction-like photodetector over silicon wafer,which demonstrates excellent photoresponse and detection performances from wavelength of 405 to 1,064 nm with high photoresponding ***,the photodetector exhibits a high responsivity of 18.9 A·W^(−1),a superior detectivity of 1.1×10^(13)Jones,and an ultrafast response speed of 44 *** present work provides a new strategy to group III–V antimonide-based semiconducting nanostructures that are capable for the fabrication of photodetector with broadband,high-detectivity,and high-speed photodetecting performances.

关键词： Ga/GaSb nanostructure metal-semiconductor heterojunction narrow bandgap semiconductor solution-liquid-solid(SLS)growth model GaSb/Si heterojunction photodetector hybrid nanostructured photodetector infrared photodetection

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A Novel Intelligent Task Offloading Scheme for Multi-Controller Environment in Software Defined Internet of Vehicles

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IEEE Internet of Things Journal 2025年第12期12卷 20018-20029页

作者： Hussain, Mir Wajahat Sangaiah, Arun Kumar Reddy, K. Hemant Kumar Roy, Diptendu Sinha Alenazi, Mohammed J.F. Javvaji, Pavan Kumar Department of Computer Science and Engineering Alliance College of Engineering and Design Alliance University Karnataka Anekal562106 India International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Yunlin Taiwan School of Engineering and Technology Sunway University Selangor Petaling Jaya47500 Malaysia University Centre for Research and Development Chandigarh University Punjab Mohali140413 India School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati522237 India Department of Computer Science and Engineering National Institute of Technology Meghalaya 793003 India College of Computer and Information Sciences Department of Computer Engineering King Saud University Riyadh11451 Saudi Arabia

The Internet of Vehicles (IoV), equipped with sensors, generates vast amounts of data, demanding rigorous computation and network. The cloud computing platform meets these stringent computation requirements, but it has a significant latency that fog computing effectively handles. Software Defined Network (SDN) has become the de facto standard for next-generation networking due to its unique and flexible features, which handle the network pre-requisites in an agile manner. Task Offloading (TO) is a crucial issue in Software Defined-IoV (SDIoV), particularly when the vehicle's resources are insufficient. Fog nodes schedule offloaded tasks;however, neglecting computational and network details during task scheduling can lead to longer completion times, thereby restricting the functionality of SD-IoV due to its time-sensitive nature. Therefore, this paper introduces two proactive Intelligent Task Offloading (ITO' and ITO) schemes. These schemes schedule tasks onto fog nodes with enhanced computational capabilities, dynamically enable the network through the ovs-ofctl SDN utility, and consider vehicle mobility during task scheduling. Experiments with Mininet show that the proposed (ITO' and ITO) schemes improve performance in terms of CPU availability, bandwidth, and throughput by 5.2 times, 50% and (30.7-13.9)% more than the existing scheme. They also reduce average packet loss, delay, Round Trip Time (RTT), and offloaded node time selection by (45.35-21.3)%, (50-33.3)%, (53.9-9.9)% and (43.2-26.06)% which demonstrates the efficacy of the proposed scheme. © 2025 IEEE.

关键词： Fog computing

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Learning to Branch in Combinatorial Optimization With Graph Pointer Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 157-169页

作者： Rui Wang Zhiming Zhou Kaiwen Li Tao Zhang Ling Wang Xin Xu Xiangke Liao IEEE the Xiangjiang Laboratory and the College of Systems Engineering National University of Defense TechnologyChangsha 410073China the Institute of Automation Chinese Academy of SciencesBeijing 100190China the College of Systems Engineering National University of Defense TechnologyChangsha 410073 the Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology Changsha 410073China the Department of Automation Tsinghua UniversityBeijing 100084China the College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China the College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well with complex *** the frequent need to solve varied combinatorial optimization problems, leveraging statistical learning to auto-tune B&B algorithms for specific problem classes becomes attractive. This paper proposes a graph pointer network model to learn the branch rules. Graph features, global features and historical features are designated to represent the solver state. The graph neural network processes graph features, while the pointer mechanism assimilates the global and historical features to finally determine the variable on which to branch. The model is trained to imitate the expert strong branching rule by a tailored top-k Kullback-Leibler divergence loss function. Experiments on a series of benchmark problems demonstrate that the proposed approach significantly outperforms the widely used expert-designed branching rules. It also outperforms state-of-the-art machine-learning-based branch-and-bound methods in terms of solving speed and search tree size on all the test instances. In addition, the model can generalize to unseen instances and scale to larger instances.

关键词： Branch-and-bound(B&B) combinatorial optimization deep learning graph neural network imitation learning

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Establishing a Secure Mobile Online Banking system using AES 3

Establishing a Secure Mobile Online Banking System using AES

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3rd IEEE Delhi Section Flagship Conference, DELCON 2024

作者： Karpagalakshmi, R.C. Lenin, J. Robin Rohit, V. Saravanan, K. Rajesh Sharma, R. Banshal, Sumit Kumar Alliance College of Engineering and Design Alliance University Department of Computer Science and Information Technology Bangalore India School of Computer Science & Engineering and Information Science Presidency University Bangalore India New Horizon College of Engineering Department of Information Science Engineering Bangalore India

ISBN: (纸本)9798331518592

Using a mobile phone or other portable device to conduct financial transactions online is known as 'mobile banking.' Activities such as verifying one's account balance, transferring funds to another account, making bill payments, and finding a local automated teller machine (ATM) are included under this classification. Due to the significant expenses associated with implementing this technology, Authentication of users, data privacy, non-repudiation, data integrity, and obtainability of services are all areas where people have voiced concerns. The analysis described in this paper introduces a more advantageous and convenient framework for addressing these issues. The proposed approach effectively accomplishes its intended goals via the use of a widely adopted technique known as salting, which involves the application of the Secure Hash Algorithm (SHA512) to obfuscate sensitive information such as user IDs and passwords. The encoding and decoding procedures used the Advanced Encoding Standard (AES) technique while implementing one-time passwords (OTPs) was implemented to enhance user authentication. The design approach used PHP, JScript, CSS, and a MySQL database. The password recovery technique was used to assess the model's credibility and reliability and acquire the outcomes. This program enhances the process of recovering passwords across various scenarios. It intercepts network traffic using dictionary attacks, brute-force assaults, and cryptanalytics attacks to decrypt encrypted passwords. Additionally, it uncovers password bins, retrieves secreted passwords and analyses routing protocols. The gathered findings support the idea's feasibility since the encrypted and hashed data demonstrates resistance to unauthorized access. © 2024 IEEE.

关键词： Automatic teller machines

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Examining learners’ cognitive processes and learning emotions in digital game-based vocabulary learning: evidence from eye-tracking technology and facial emotion recognition

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Interactive technology and Smart Education 2024年第2期22卷 304-331页

作者： Wang, Chun-Chia Chen, Hsuan-Chu Hung, Jason C. School of Information and Design Chang Jung Christian University Tainan Taiwan Department of Digital Media Design Chang Jung Christian University Tainan Taiwan Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung Taiwan

Purpose: This research explored the intersection of cognitive processes, emotions and their impacts on digital game-based vocabulary learning (DGVL) among university students. Recognizing the scant research in this area, especially with integrating innovative technologies, this study aims to understand the influence of these elements using advanced monitoring tools. design/methodology/approach: This inquiry was carried out as an observational study involving 44 university students segmented into three English language proficiency levels: high, intermediate and low based on their English course scores. The methodological tools included a portable eye tracker to observe visual behaviors and deep learning technology to identify and analyze the participants’ emotional responses and engagement with the DGVL during the learning process. Findings: The results showed that distinct fixation sequences and variations in visual attention during DGVL were correlated with different levels of competency, suggesting a direct correlation between visual engagement and language competence. In addition, emotional transitions, predominantly from engagement (“flow”) to challenge (“frustration”), were common among participants, reflecting the emotional dynamics of learning. Furthermore, all participants consistently focused on the English vocabulary definitions, indicative of their targeted approach to understanding and test preparation. These findings highlighted the intricate dynamics between emotions and cognitive processes in learning environments. Originality/value: Contribution of this study shows the interplay of cognitive engagement and emotional experiences in the context of DGVL. It underscored the complex nature of these factors and their collective influence on learners’ visual and emotional engagement, offering valuable implications for educational strategies and technological applications in language learning. © 2024, Emerald Publishing Limited.

关键词： Affective computing Convolutional neural networks Digital game-based learning Eye-tracking technology Transfer learning

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Distributed finite-time event-triggered formation control based on a unified framework of affine image

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IEEE/CAA Journal of Automatica Sinica 2024年第6期12卷 1-3页

作者： Lin, Yan-Jun Yang, Yun-Shi Chai, Li Lin, Zhi-Yun Hangzhou Applied Acoustics Research Institute Hangzhou 310027 China College of Control Science and Engineering Zhejiang University Hangzhou 310027 China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 and also with Peng Cheng Laboratory Shenzhen 518000 China

Dear Editor, This letter concentrates on distributed event-triggered formation control problems with finite-time convergence in an arbitrarily dimensional Euclidean space. A new unified approach of finite-time event-triggered formation control is proposed by steering all agents to a sliding manifold (the affine image) to achieve general formations, like affine, rigid or translational formation. It only requires to design an extra steering law driving at least d +1 leaders from an affine image to a rigid or translational image, where d is the dimension of the space. The event-triggered function is designed in a distributed and discontinuous manner based only on local information to reduce the communication and calculation resources by aperiodic sampling. In the proposed event-triggered formation law, zeno-free behavior is ensured. IEEE

关键词： Sliding mode control

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Deep Learning Based Fault Diagnosis for Chemical Process with Statistical Feature Fusion 42

Deep Learning Based Fault Diagnosis for Chemical Process wit...

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42nd Chinese Control Conference, CCC 2023

作者： Zhang, Lei Xia, Hao Cha, Bao School of Control Science and Control Engineering Dalian University of Technology Dalian116024 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610091 China

ISBN: (纸本)9789887581543

The existing fault diagnosis methods based on deep neural networks mostly rely on process data for fault classification and diagnosis, which makes it difficult to distinguish minor faults with similar data features. Therefore, this paper proposes a deep learning-based fault diagnosis model that combines statistical indicators and neural networks. By analyzing and calculating the relevant information entropy to screen the statistical signal features of time domain and frequency domain, we can extract more hidden information from the raw data, and use the convolutional autoencoder to compress the statistical indicators for feature extraction, and use CNN network to extract features from raw data. Finally, the two sets of features are fused and input into the LSTM network to obtain temporal information for fault diagnosis. Tests conducted on the Tennessee Eastman (TE) process show that the proposed model outperforms typical classifiers and improves the diagnostic accuracy of minor faults. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Failure analysis

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design AND SIMULATION OF CONTROL system FOR SEQUENTIAL DRIVING CABIN OF SINGLE HYDRAULIC SOLENOID VALVE

DESIGN AND SIMULATION OF CONTROL SYSTEM FOR SEQUENTIAL DRIVI...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Tong, Xiaolong Fu, Yunhan Liu, Liangliang Xu, Yuanzhi Shenyang Aircraft Design Institute Electromechanical System Department Shenyang110035 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

In order to ensure the installation requirements of the aircraft cabin door, the double hatch door design adopts the form of mutual compression to ensure the differential clearance. In order to ensure that the two doors with compression connection avoid structural damage during the process of retracting, achieve the requirements of the hatch closing time performance index, and meet the requirements of the system weight and the order of the hydraulic control system. Through simulation and test, it is proved that the design of the system can meet the requirements of aircraft use, and the flow-pressure characteristics of the core components of the system, such as the solenoid valve and the limiting valve, are obtained. The design method of the cabin door system has strong generality, which can provide a good design reference for the design of the door receiving and releasing system of the following aircraft. © The Institution of engineering & technology 2024.

关键词： Solenoid valves

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Green hydrogen: Paving the way for India’s decarbonization revolution

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Environmental science and Pollution Research 2024年第22期32卷 13411-13431页

作者： Madheswaran, Dinesh Kumar Krishna, Ram Colak, Ilhami Saravanan, Jegadheeshwari Green Vehicle Technology Research Centre Department of Automobile Engineering SRM Institute of Science & ampTechnology Kattankulathur Campus Tamil Nadu Chennai603 203 India Department of Metallurgical and Materials Engineering National Institute of Technology Jharkhand Jamshedpur India Department of Electrical and Electronics Engineering Nisantasi University Istanbul Turkey Department of Biotechnology School of Bioengineering SRM Institute of Science & ampTechnology Kattankulathur Campus Tamil Nadu Chennai603 203 India Interdisciplinary Institute of Indian System of Medicine SRM Institute of Science & ampTechnology Kattankulathur Campus Tamil Nadu Chennai603 203 India

The potential of green hydrogen to make India self-sufficient and energy-independent is reviewed in this study. We integrated technological advancements, economic analysis, and policy frameworks to provide a comprehensive overview of the green hydrogen landscape in India. This review examines cost reductions in electrolyzer technology, the potential for renewable energy integration, and the socio-economic benefits of green hydrogen adoption. Additionally, the study proposes innovative policy measures tailored to India’s unique conditions, such as targeted subsidies and incentives for green hydrogen production and use. The research highlights significant cost reductions and increased renewable power generation as key factors contributing to the economic viability of green hydrogen in India. It underscores the importance of large-scale production and advancements in electrolyzer technology. Furthermore, the study emphasizes the necessity of clear regulatory frameworks, infrastructure development, and financing to support the deployment of a green hydrogen economy in India. By implementing a strategic roadmap for green hydrogen, India can reduce its reliance on fossil fuels, lower greenhouse gas emissions, and become a major player in the global green hydrogen market. The proposed policy measures and technological advancements are crucial for successfully adopting and deploying green hydrogen, ensuring energy self-sufficiency and long-term economic sustainability for India. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Sustainable development

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Improving the strength and surface properties of TNTZ alloy through a combination of high-pressure torsion and laser surface treatment

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International Journal of Advanced Manufacturing technology 2024年第5-6期134卷 2693-2704页

作者： Lin, Hsuan-Kai Hsieh, Tsai-Hsuan Cheng, Yi-Hong Bazarnik, Piotr Wang, Chuan Ting Huang, Yi Ye, Jing Abdelkader, Amor Langdon, Terence G. Department of Materials Engineering National Pingtung University of Science and Technology Pingtung912 Taiwan Faculty of Materials Science and Engineering Warsaw University of Technology Woloska141 02-507 Poland School of Mechanical Engineering Nanjing University of Science and Technology Jiangsu Nanjing210094 China Department of Design and Engineering Faculty of Science and Technology Bournemouth University Dorset PooleBH12 5BB United Kingdom Materials Research Group Department of Mechanical Engineering University of Southampton SouthamptonSO17 1BJ United Kingdom

The Ti–29Nb–13Ta–4.6Zr alloy (TNTZ) is a β-Ti alloy that has a potential for use in biomedical applications as an alternative to the less-compatible Ti64 alloys. Enhancing the strength and the surface finish of TNTZ is essential for biomedical applications. In this research, a combination of high-pressure torsion (HPT) and laser treatment was used to improve the TNTZ properties. The HPT-treated samples showed significantly enhanced mechanical properties when compared with the traditional solution-treated TNTZ. A laser surface treatment immediately forms a hydrophilic surface that transforms into a steady hydrophobic state after 14 days in air and the surface roughness increases with an increase in laser power and a slower scanning rate. The corrosion resistance of TNTZ improves significantly after laser treatment, with the corrosion current dropping from 1 × 10−8 to 1.2 × 10−9 A and the corrosion potential peak shifting to a more positive value from − 0.349 to − 0.158 V. The friction coefficient after laser treatment decreased from 0.134 to 0.093 and then further reduced to 0.082 after 14 days in air thereby suggesting an enhancement in the tribological properties. Overall, the results show that HPT processing combined with a post-HPT laser treatment is beneficial for enhancing the mechanical properties and the corrosion and wear performance of the TNTZ alloy. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Corrosion resistance

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