2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第5页

ESD-ability Analysis of High Voltage nLDMOSs with the Drain-side Parasitic Schottky/Embedded STI 具有漏侧寄生肖特基/嵌入式STI的高压nLDMOSs的esd能力分析

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042875

Yu-Jie Chung, Shen-Li Chen, Xing-Chen Mai, Ting-En Lin, Xiu-Yuan Yang

引用次数: 0

Feasibility Analysis of Document Legalization Importing Blockchain Technology 引入区块链技术的文件合法化可行性分析

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042944

Ke-Jiang Li, Chun-Te Chen, Pi-Wen Wang

引用次数: 0

Analysis and Research of Network Information Security Evaluation Model Based on Machine Learning Algorithm 基于机器学习算法的网络信息安全评估模型分析与研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042828

Yuxiao Luo

{"title":"Analysis and Research of Network Information Security Evaluation Model Based on Machine Learning Algorithm","authors":"Yuxiao Luo","doi":"10.1109/ECICE55674.2022.10042828","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042828","url":null,"abstract":"Due to the rapid development of network technology and the rapid spread of information through the network, the security of information systems is also threatened in many aspects. The purpose of this study is to build a security evaluation model of network information based on machine learning algorithms and to improve the model and the accuracy of model evaluation. Firstly, a hierarchical network information security assessment index system is constructed. Secondly, to improve the accuracy of security assessment, an improved AFSA algorithm and TWSVM model are introduced for enhancing classification accuracy. A security assessment based on improved AFSA-TWSVM is proposed to evaluate the model. Finally, the experiments are carried out to compare with the AFSA-SVM-based security assessment model and the PSO-LLSVM security assessment model. The experimental results show that the average classification accuracy of the AFSA-SVM-based security assessment model and the PSO-LLSVM-based security assessment model is S7.5 and 83.33%, respectively. The average classification accuracy of the improved AFSA-TWSVM reaches 90%, which is better than the other two evaluation models in classification accuracy. Therefore, the model proposed in this study is more suitable for network information security evaluation.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123222731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Postprocessing System for Word-Filling and Quantifiers Based on Chinese Story Generation 基于中文故事生成的补词量词后处理系统

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042910

Rong-Guey Chang, Cheng-Yan Siao, Chia-ying Lee

引用次数: 0

Optimization of Outpatient Doctor Allocation in Q Hospital Based on Queuing Theory 基于排队理论的Q医院门诊医生配置优化

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042831

Xue Li

引用次数: 0

Filtering Analysis of a Wet Scrubber with Computational Fluid Dynamics Simulation 基于计算流体动力学仿真的湿式洗涤器过滤分析

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042826

Shih-Chia Wang, Dena Gabriela

{"title":"Filtering Analysis of a Wet Scrubber with Computational Fluid Dynamics Simulation","authors":"Shih-Chia Wang, Dena Gabriela","doi":"10.1109/ECICE55674.2022.10042826","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042826","url":null,"abstract":"Environmental rules that restrict pollution emissions into the atmosphere are getting stricter. Therefore, it is essential to create new air pollution control technologies and enhance those that presently exist. A wet scrubber system is one of the most practical systems to control and remove pollutants that is used fluid mechanics and a little bit of propulsion system on its operation. The operation of a wet scrubber mainly concentrates on the water flow performance and filter design to capture the dust particles. This study focuses on analyzing the appropriate waterflow that will deliver a consistent flow through the filter at a specific velocity and briefly discusses the available filter performance for efficiency. Solid Works ST’s computer-aided drawing (CAD) program is used to design the pieces for 3D printing. In order to achieve the desired design, this study uses Computational Fluid Dynamic (CFD) simulation software (COMSOL Multiphysics 5.5) to evaluate the water tank design and filter performance in order to take the models’ accuracy and efficiency into account before they are combined to create a prototype and carry out the model’s experiment. The efficiency of filter with certain velocity if water flow is expected to be more than 70% on capturing the dust particles.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128648449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a Micro-hole Array Device for Picking the Micro Lenses 一种微孔阵列采集微透镜装置的设计

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042934

Kuan-Yu Lu, Gadi Ashok Kumar Reddy, Nguyen Ngoc Thai, K. Lee

引用次数: 0

Trajectory Tracking Control of Autonomous Lawn Mower Based on ANSMC 基于ANSMC的自动割草机轨迹跟踪控制

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042956

Hung-Yih Tsai, Kuo-Ching Chiu, Kuen-Bao Sheu, Chien-Chang Lai, Yi-Fan Wu

{"title":"Trajectory Tracking Control of Autonomous Lawn Mower Based on ANSMC","authors":"Hung-Yih Tsai, Kuo-Ching Chiu, Kuen-Bao Sheu, Chien-Chang Lai, Yi-Fan Wu","doi":"10.1109/ECICE55674.2022.10042956","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042956","url":null,"abstract":"For weeding in an open area, an automatic lawnmower is used. However, the positioning accuracy of the GPS used by the automatic lawn mower currently only reaches the meter level. Inertial positioning accumulates errors and causes control path errors, thus making the grass cannot be completely removed. Thus, this study is conducted to develop a lawn mower system with remote monitoring and automatic tracking control. The system uses a Dual Wheels electric transporter to set up the lawn mower pole while controlled by the rotation of the two wheels so that the lawn mower moves forward, turns, and moves backward. The positioning adopts simple RTK-GPS, including the base station and mobile station. It provides centimeter-level positioning accuracy. The movement trajectory planned with the computer is sent to the automatic lawn mower through the Lora wireless communication interface. The lawn mower follows the trajectory tracking control. The tracking control method of the lawn mower is based on Adaptive Neural Sliding Mode Control (ANSMC). The results show the maximum error of the tracking control of the automatic lawn mower is 10 cm. The computer monitors the condition of the lawn mower in real time and stores the tracking history to be checked. In the study, the prototype of the lawn mower is suitable for applications in open fields.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114485055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Driving Energy Consumption for Wearable Industrial Lower Limb Exoskeleton Based on Improved Chameleon Algorithm and Human-machine Dynamics 基于改进变色龙算法和人机动力学的可穿戴工业下肢外骨骼驱动能耗优化

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042852

Songhua Hu, J. Bao, Chunhao Yang, Zuwei Hu, Xinbo Zhou, Nan Pan

{"title":"Optimization of Driving Energy Consumption for Wearable Industrial Lower Limb Exoskeleton Based on Improved Chameleon Algorithm and Human-machine Dynamics","authors":"Songhua Hu, J. Bao, Chunhao Yang, Zuwei Hu, Xinbo Zhou, Nan Pan","doi":"10.1109/ECICE55674.2022.10042852","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042852","url":null,"abstract":"In order to optimize the range of the wearable industrial lower limb exoskeleton during operation, firstly, the kinematic analysis of the lower limb exoskeleton is carried out, and the driving force model of each joint is derived through Lagrange ’s equation. Secondly, the motion stability constraint is derived by combining ZMP theory and D’Alembert’s principle. Finally, an optimization model with the optimal joint driving energy consumption as the objective function is constructed based on the continuous periodic motion of the lower limb exoskeleton. An improved Chameleon Swarm Algorithm (TNECSA) based on Tent chaos mapping, Niching behavior, and elite perturbation mechanism is designed to solve the model. Firstly, the Tent chaos mapping is used to generate high-quality initial feasible solutions. The small habitat technique is introduced to maintain the diversity of the population and expand the search range. Based on the elite perturbation mechanism, the elite individuals are perturbed by the sine cosine search operator to avoid the algorithm from falling into the local optimum. The designed algorithm is compared with other cutting-edge population intelligence algorithms in cross-sectional simulations respectively. The results validate the feasibility of the developed model and the improved algorithm in the human-machine dynamics optimization problem of exoskeleton robots.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research and Analysis of Attentional Biases on Clinical Depression: Eye Tracking Study 临床抑郁症的注意偏倚研究与分析:眼动追踪研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042888

Meng Zhang, Yue Chen, Shuo Tang, Ting Zhou, Zheng Huang

引用次数: 0