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10th International Conference on Biosignals, Images and Instrumentation, ICBSII 2024

作者： Perumal, d. Jha, Sweta Beeta, Thiyam deepa Ghimire, Smriti Shelishiyah, r. Veltech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Biomedical Engineering Chennai India

ISBN: (纸本)9798350350951

The organ-on-chip (OOC) platform enables faster, better, and less expensive drug development, disease modeling, customized treatment, and insights into human health by providing flexibility and robustness in drug testing. Animal models, on the other hand, have failed to provide effective and efficient drug testing results since different species have distinct characteristics. Here, this study reports a lung-on-chip (LOC) aiming to mimic the basic physiological response invitro human lungs while breathing. This microfluidic device performed the mechanical movement of 3d cyclic stretching inspired by breathing movements. This device consisted of 2 parts, the fluidic, and pneumatic parts. This proposed microfluidic chip had two methods of operating, one was breathing mode and another one was medium exchange mode. The simulation of the lung-on-chip was done in Ansys workbench by using static structural and Computational Fluid dynamics (CFd). The proposed microfluidic chip has great potential for drug testing and new drug development and has a wide range of applications. © 2024 IEEE.

关键词： Microfluidic chips

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development and research of Non⁃Stirring Conveying device for Waste resin in Nuclear Power Plant

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Journal of Harbin Institute of Technology(New Series) 2023年第3期30卷 45-59页

作者： Jianfa Li Yongzhen Hua Mingmei Liu rui Zhang Taishan Lou R&D Center of China Nuclear Power Engineering Co. Ltd.Beijing 100840China

Blockage in the storage and transportation of waste resin is a difficult problem in the radioactive waste treatment process of nuclear power *** this study,in order to solve the problems of unstable resin transport concentration and easy blockage of conveying equipment and pipelines in nuclear power plants in China,a set of non⁃stirring conveying devices is developed,and theoretical calculations,simulation analysis and experimental verification are carried *** transporting resin using the no stirring conveying device developed in this paper,it is not only to eliminate the risk of blockage and ensure the safety of transportation,but also to adjust the concentration of conveying resin to change the transport efficiency according to the operating *** effective bearing rate of waste resin storage tank can be improved,so that the comprehensive performance of waste resin storage and transportation in nuclear power plants can be greatly improved.

关键词： nuclear power plant ion exchange resin transportation no stirring device no blockage

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Performance Analysis of MAC Protocols for Node density in Wireless Sensor Networks 8

Performance Analysis of MAC Protocols for Node Density in Wi...

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8th IEEE International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024

作者： Magar, Hanmant d. Srinivasan, r. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science & Engineering Avadi Chennai India

ISBN: (纸本)9798350391770

A wireless sensor network is a group of various forms of nodes that are arranged at random around the sensor area. In WSNs, certain nodes operate as source nodes, monitoring factors from the nearby area, while one node acts as a sink node, collecting information from source nodes. Clustering, sectoring, and sleep-active mechanism are just some of the different methods used in WSNs to provide reliable transmission of information between one point to another. The efficiency of wireless sensor networks is determined by their quality of services, or QoS, which includes factors like packet delivery ratio, energy, throughput, delay etc. Transferring information from one end to the other requires the use of mac protocols and routing. routing protocols are used to determine the shortest path between the sending and receiving nodes, while the MAC protocol ensures reliable data transfer via communication channels between nodes. In this paper, we analyzed the efficacy of multiple MAC protocols with various QoS for different node densities. This will assist inventors in the future with analysis. The CSMA protocol performs effectively for all network QoS standards. © 2024 IEEE.

关键词： Sensor nodes

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Nitrogen Configuration Effects on Charge Carrier dynamics in CsPbBr3/Carbon dots S-Scheme Heterojunction for Photocatalytic CO2 reduction

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Journal of Physical Chemistry Letters 2024年第21期15卷 5728-5737页

作者： Tsai, Kai-An Chang, Yao-Jen Li, Yu-Chieh Zheng, Meng-Wei Chang, Jui-Cheng Liu, Shou-Heng Tseng, Shih-Wen Li, Yan Pu, Ying-Chih Department of Materials Science National University of Tainan Tainan70005 Taiwan Department of Environmental Engineering National Cheng Kung University Tainan70101 Taiwan Department of Chemical Engineering and R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan320314 Taiwan Core Facility Center of National Cheng Kung University Tainan70101 Taiwan School of Materials Science and Engineering University of Science and Technology Beijing Beijing100083 China

Nitrogen-doped carbon dots (NCds) featuring primary pyrrolic N and pyridinic N dominated configurations were prepared using hydrothermal (H-NCds) and microwave (M-NCds) methods, respectively. These H-NCds and M-NCds were subsequently applied to decorate CsPbBr3 nanocrystals (CPB NCs) individually, using a ligand-assisted reprecipitation process. Both CPB/M-NCds and CPB/H-NCds nanoheterostructures (NHSs) exhibited S-scheme charge transfer behavior, which enhanced their performance in photocatalytic CO2 reduction and selectivity of CO2-to-CH4 conversion, compared to pristine CPB NCs. The presence of pyrrolic N configuration at the heterojunction of CPB/H-NCds facilitated efficient S-scheme charge transfer, leading to a remarkable 43-fold increase in photoactivity. In contrast, CPB/M-NCds showed only a modest 3-fold enhancement in photoactivity, which was attributed to electron trapping by pyridinic N at the heterojunction. The study offers crucial insights into charge carrier dynamics within perovskite/carbon NHSs at the molecular level to advance the understanding of solar fuel generation. © 2024 American Chemical Society.

关键词： Heterojunctions

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HIGH ENTrOPY ALLOYS WITH SHIELdING PrOPErTIES FOr AGGrESSIVE MEdIA

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UPB Scientific Bulletin, Series B: Chemistry and Materials science 2023年第2期85卷 179-184页

作者： Naciu, Cătălin A. Nicolae, Mihai Manea, Ciprian A. Geambazu, Laura E. Morari, Cristian National Institute for R&D in Electrical Engineering ICPE-CA Bucharest Romania Electrical Engineering Faculty University POLITEHNICA Bucharest Romania Material Science and Engineering Faculty University POLITEHNICA of Bucharest Romania

Applications in a variety of industries (radio frequency, electromagnetic medicine, military, etc.) that require electromagnetic shielding are currently solved by using conductive materials such as Cu, Al, Fe, Ni, Au, Mo, etc. This paper presents CoCrFeNiMo a high entropy alloy produced by mechanical alloying with good corrosion and wear resistance according to recent studies, but also having economic efficiency when utilized as a coating. When the material was tested for its electromagnetic shielding properties, the obtained results presented values between 19.1-57.97 dB in 100 kHz – 13.5 GHz frequency range. The proposed material could represent a solution for a variety of applications. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Electromagnetic shielding

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Non-invasive Healthcare Analytical Platform Based on Organic Electrochemical Transistors

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Chemical research in Chinese Universities 2024年第5期40卷 824-848页

作者： HU Xingyu MAO Ning YAN Xinwen HUANG Ling LIU Xu YANG Huige SUN Qingqing LIU Xuying JIA Hanyu School of Materials&Engineering Zhengzhou UniversityZhengzhou450001P.R.China Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education&Hubei Key Laboratory of Catalysis and Materials Science Hubei R&D Center of Hyperbranched Polymers Synthesis and ApplicationsSouth-Central University for NationalitiesWuhan430074P.R.China Science&Technology Innovation Center for Advanced Materials of Intelligent Equipment Longmen LaboratoryLuoyang471000P.R.China

Non-invasive bioelectronics,especially organic electrochemical transistors(OECTs),have drawn extensive attentions of academical and medical communities by virtue of their efficient bio-electronic interfacing,water-involved ionic transport,excellent ionic-electronic coupling,ultralow power consumption,wide detectable range,and outstanding detection *** structure diversity,low-temperature solution processability,facile bio/chemical functionalization,and excellent biocompatibility of organic mixed ionic-electronic conductors(OMIECs)render OECTs particularly suitable for non-invasive or minimally invasive healthcare analytical ***,we comprehensively review recent advances of the non-invasive analytical healthcare applications based on OECTs,especially on the detection of biomarkers or metabolites in the excretory biofluids,as well as the recording of electrophysiological signals.A brief introduction of OECT and its comparison with other organic thin-film transistors upon device configuration and working mechanism are firstly ***-of-the-art non-invasive OECT-based biosensors are summarized on their detection of ionic and molecular biomarkers,following with circuit design strategies of OECTs for real-time and in-situ electrophysiological recording from skin *** conclusion,remaining barriers and future challenges of non-invasive OECT-based bioelectronics towards lower detection limit,more accurate quantitative relationship between analyte concentrations and measured parameters,more intimate device-tissue interface,and long-term operation stability are deeply analyzed with a critical outlook.

关键词： Organic electrochemical transistor Non-invasive Bioelectronics Ion-selective Electrophysiological monitoring

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Spherical modification of tungsten powder by particle composite system

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rare Metals 2022年第6期41卷 1972-1976页

作者： Cong-Cong Wang Cheng-Chang Jia Peng Gao Guo-Sheng Gai Yu-Fen Yang School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Powder Technology R&D Group Department of Material Science and EngineeringTsinghua UniversityBeijing 100084China

Owing to contradiction between increasing demand of spherical tungsten powder and limitation of traditional manufacturing technology,a novel preparation method was developed to sphericize the polygonal tungsten powder by means of modification of particle composite *** powder particles were modified by par-ticle composite system,and detailed characterization by scanning electron microscopy(SEM)was *** size distribution and function mechanism were analyzed,and the internal relationship between average diameter and processing time was *** results show that the spherical tungsten powder with an average diameter of 6.41μm is obtained from polyhedral tungsten powder with an average diameter of 7.50μ*** spherical effect could be achieved(sharp edge angles of particles are rounded off and reshaped)when the processing time is over 30 *** relationship between average diameter(d)and pro-cessing time can be described by the exponential decay model,which provides a good interpretation for the process of *** relationship between them can be expressed by the equation d=1.87406exp(-x/8.92718)+*** proposed method could readily enable large-scale production of spherical tungsten powder.

关键词： Tungsten powder Modification Average diameter Powder metallurgy

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Intrusion detection Systems Based on Machine Learning Using Feature Expansion Methods 18

Intrusion Detection Systems Based on Machine Learning Using ...

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18th Asia Joint Conference on Information Security, AsiaJCIS 2023

作者： Myung, Joonwoo Ko, Youngmin Kwon, Taewoong Lee, Jun Kim, Kyuil Song, Jungsuk Korea Institute of Science and Technology Information Science and Technology Security R&d Center Daejeon Korea Republic of

ISBN: (纸本)9798350341638

With the development of computer networks, the amount of network traffic is explosively increasing. In addition, the importance of cyber security is being highlighted as cyber threats increase accordingly. In general, rule-based detection approaches have been used to detect cyber threats. The detection rules used in these are broadly set up to reliably detect cyber threats, resulting in too many unnecessary events. This leads to unanalyzed events, which can lead to severe security incidents. To solve this problem, recently, researches on AI-based cyber threat detection system that learns network traffic information and automatically generates detection rules are being conducted. Most of them have used complex model with sophisticated structures or feature engineering techniques so that AI models can learn as much information as possible. But, these are difficult to use in real-world security monitoring environment where quick decisions need to be made in real time, and are not suitable for that environments because they have been trained and verified through only open datasets. In this paper, we propose an AI-based cyber threat detection system that efficiently learns security event characteristics without any complicated process using tree-based model which efficient to learning tabular data. The proposed system detects cyber threats by learning security event characteristics using only information provided from security devices without complicated feature extraction process. In addition, rather than using the used information as a simple value, the value is transformed through a simple process so that the model can learn the event characteristics more effectively. Using the simplicity of the proposed method, it is expected that it can be applied to the real-world environments, and the possibility of this is demonstrated through real-world data. © 2023 IEEE.

关键词： Network security

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Advancing Glaucoma detection: Synthetic Image Generation via Generative Adversarial Networks and Classification with Pretrained MobileNetV2

Advancing Glaucoma Detection: Synthetic Image Generation via...

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2024 International Conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： ramprasad, S.r. rampriya, r. Poongodai, A. Govindharaj, I. Vimal raja, r. Yazhinian, S. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Chennai India Madanapalle India Ck College of Engineering and Technology Department of Computer Science and Engineering Cuddalore India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510022

Irreversible vision loss, generally insidious in start and lacking apparent symptoms, is usually attributed to glaucoma. detecting glaucoma in its early stages is crucial since it may reduce disease progression. Conventional diagnostic approaches, depending on manual assessments, are notably prone to mistakes. Hence, automated glaucoma analysis acquires vital relevance for precise and prompt detection. Moreover, medical picture databases frequently display asymmetries, creating a problem. To solve these challenges, this paper presents a unique framework employing generative adversarial networks (GANs) to generate images, thus addressing dataset imbalances. Specifically., in the context of fundus images, standard approaches like image-to-image translation are applied to build synthetic fundus images and associated vascular networks, attempting to boost overall image quality and capture finer details. Gaussian filtering is originally done to pre-process the raw dataset, eliminating unwanted noise. Subsequently, GANs are applied for dataset balancing, providing synthetic images that boost classification accuracy. Optic cup segmentation is conducted using the Enhanced Level Set Algorithm. Finally, Pretrained MobileNetV2 permits accurate classification of glaucomatous images into normal and pathological categories. Experimental results illustrate the efficacy of our suggested framework, obtaining an accuracy of 98.9%, exceeding existing techniques. © 2024 IEEE.

关键词： Generative adversarial networks

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A Vision-Based Traffic Accident Analysis and Tracking system from Traffic Surveillance Video 3

A Vision-Based Traffic Accident Analysis and Tracking system...

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3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024

作者： Anjana, P. Nallasivan, G. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai India

ISBN: (纸本)9798350361186

Traffic accidents pose significant challenges to road safety and transportation management worldwide. Timely and accurate analysis of these incidents is crucial for effective response and mitigation. This paper presents a novel VisionBased Traffic Accident Analysis and Tracking System designed to detect, analyze, and track traffic accidents from surveillance videos using advanced image processing techniques. recent research methodology has unlimited in realizing the object trajectories of vehicle accident connected information detecting and take out the features relationships. The proposed research paper recommends a road traffic accident tracking systems that assist to establish whether every video sequence demonstrates mishap by producing and considering vehicle object trajectories using Vehicle Influence Location Generator and CNN classifier. In the proposed system, the vehicle influence location generator includes three parameters: vehicle object trajectories the distances between vehicles and accident analysis. First parameter, vehicle portions are identified by rectangle bounding box in green colour. The second parameter, vehicle portion centre positions are represented by dots using region of Interest (rOI). The final parameters, the distances between previous vehicle frame and current vehicle frame are represented by points. The proposed system considered threshold value for distance calculation and update the values. Finally, the opportunity of a disaster is characterized by red circles. A CNN will be used to analyze the accident from the Vehicle Influence Location Generator produced by vehicle object trajectories. The proposed model was trained using CAdP dataset in the training and testing stage, and it was able to obtain an estimated 96.5 % accuracy rate in overall proposed traffic accident detection. © 2024 IEEE.

关键词： Location

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