2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)最新文献_第4页

The Optimal Shape of the Surface Hardening Head Obtained by Numerical Modeling 通过数值模拟得到表面硬化头的最佳形状

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193940

M. Novac, Marius Codrean, M. Gordan, Mihaela Codrean, M. Oproescu, O. Novac, Francisc Slovac

引用次数: 0

Breast Cancer Detection using Thermal Infrared Image Analysis based on Dempster-Shafer Decision Fusion of CNN Classifiers 基于CNN分类器Dempster-Shafer决策融合的热红外图像检测乳腺癌

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194213

Iulia-Ramona Macaşoi, V. Neagoe

引用次数: 0

Power Transformers Loss Of Life Evaluation Using Winding Insulation Resistance Calculation Model 基于绕组绝缘电阻计算模型的电力变压器寿命损失评估

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193960

Bogdan Leu, G. Seritan, B. Enache, G. Tănăsescu, R. Porumb, I. Vilciu

引用次数: 1

Sentiment Detection through Emotion Classification Using Deep Learning Approach for Chinese Text 基于深度学习方法的中文文本情感分类情感检测

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194174

Yuxin Huang, S. Jusoh

{"title":"Sentiment Detection through Emotion Classification Using Deep Learning Approach for Chinese Text","authors":"Yuxin Huang, S. Jusoh","doi":"10.1109/ECAI58194.2023.10194174","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194174","url":null,"abstract":"Emotion classification and sentiment analysis represent crucial research areas within the field of Natural Language Processing. Previous studies have primarily focused on conducting sentiment classification and emotion classification as separate tasks. Only a limited number of researchers have delved into exploring the relationship between these two and invested efforts in deriving one from the other. This study aims to determine sentiment by employing emotion classifications. Specifically, we utilise the ERNIE Tiny deep learning model to classify emotions in Chinese texts, and detect sentiments through our devised rules. For instance, if emotions such as ‘happiness' or ‘like’ are present, the sentiment is classified as positive. Conversely, emotions like ‘sadness', ‘disgust’, ‘anger’, or ‘fear’ classify the sentiment as negative. The experimental results demonstrate the F1 score of 93.00% and 90.14% for positive and negative sentiment, respectively, in Chinese song reviews. These findings substantiate the validity and feasibility of utilising emotions to extract sentiment","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"17 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134259381","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

Development of Energy Efficient WSN Based Smart Monitoring System 基于WSN的高效节能智能监控系统的开发

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194149

Asrorbek Eraliev, U. Salomov

{"title":"Development of Energy Efficient WSN Based Smart Monitoring System","authors":"Asrorbek Eraliev, U. Salomov","doi":"10.1109/ECAI58194.2023.10194149","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194149","url":null,"abstract":"In agricultural greenhouses, the traditional method of monitoring the agricultural parameters is carried out by manually measurements. This method requires time and human-resources depending on the scale of the greenhouses. However, the measured data are sometimes inaccurate and leads to wrong activities, such as irrigation, which may make negative effects on plants, soils and increase unnecessary resource expenses. Fortunately, in the recent years, different modern technologies have been applied to agricultural sphere and implemented smart monitoring, smart irrigation and other hi-tech systems. However, it is still a major challenge to achieve better energy efficiency and reduce the cost of monitoring real-time parameters in high quality. In this research work, we developed and implemented a wireless sensor network (WSN) based monitoring system for specifically greenhouses and focused on solving the two main issues: longer life-longevity of WSN devices and lower the system cost. In order to achieve the longer life-longevity of wireless devices we developed specific WSN devices consisting of the most low-power consuming electronic components. Besides, an operational algorithm and measurement method has been developed. On the purpose of decreasing the hardware material costs, we did choose the most optimal priced electronic components. WSN sensor nodes make measurements of four parameters, soil moisture level, soil temperature, air humidity and temperature. The measured data is sent to coordinator node which forwards each received data packets to web platform of the system. Gardeners can monitor the real time agricultural parameters of their greenhouses with 5% maximum error through the web platform on any point of the earth where internet connection is available.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133845388","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

Zero-Load: A Zero Touch Network based router management scheme underlying 6G-IoT ecosystems 零负载:基于零接触网络的路由器管理方案，底层6G-IoT生态系统

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194090

Pronaya Bhattacharya, Anwesha Mukherjee, S. Tanwar, Emil Pricop

{"title":"Zero-Load: A Zero Touch Network based router management scheme underlying 6G-IoT ecosystems","authors":"Pronaya Bhattacharya, Anwesha Mukherjee, S. Tanwar, Emil Pricop","doi":"10.1109/ECAI58194.2023.10194090","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194090","url":null,"abstract":"The rising data volumes force significant bottlenecks on the 6G for IoT (6G-IoT) network management functions, which limits the control, flexibility, and interoperability among devices, protocols, and end applications. Solutions like software-defined networking (SDN), and network function virtualization (NFV) are proposed with 6G, but the core management operations are still manual. Thus, to automatically upscale these 6G-IoT networks at reduced cost orchestration complexity, zero-touch networks (ZTN) are proposed. ZTN in 6G-IoT allows a high degree of automation and seamless integration of services. The article proposes a scheme, Zero-Load, that integrates ZTN at the core routing functionality of the 6G-IoT applications. We present a load balancing and traffic classification scheme through the ZTN networking stack for core routers. The ZTN router configuration fabric connects applications with the core services. Further, we present a Gaussian kernel-based support vector machine (SVM) classifier at the ZTN automation layer, which classifies the normal traffic and attack traffic. The proposed work is compared for parameters like mean time to response (MTTR), and resolution latency against baseline SDN and NFV schemes. Using ZTN, an average improvement of 32.45% is obtained in MTTR, and 87.89% in resolution latency (against a query). Using the Gaussian RBF kernel, an accuracy of 0.9914 is reported. These results indicate that ZTN-based management paves the way toward a more dense and intelligent 6G-IoT network.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114781307","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

Improving Air Pollution Forecasting in Smart Cities using Clustering Techniques 利用聚类技术改进智慧城市空气污染预测

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193934

M. Muntean

引用次数: 0

The Study of Creep in the Case of Pressure Vessels 压力容器蠕变的研究

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194207

C. Paunescu, Vasile Gheorghe

引用次数: 0

Neural Circuits and Their Electronic Models 神经回路及其电子模型

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194121

Mihai Popescu, C. Ravariu, F. Babarada

{"title":"Neural Circuits and Their Electronic Models","authors":"Mihai Popescu, C. Ravariu, F. Babarada","doi":"10.1109/ECAI58194.2023.10194121","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194121","url":null,"abstract":"there are some advanced artificial intelligence achievements that make some scientists ask if it is for the safety of humanity to be met in practice. Although it seems that are human brain capacities actually unexplored by common peoples, which would make them superior for a long time in the competition with the electronic brain. The brain functioning relay on some common circuit type. The electronic circuits were not designed in order to copy the neuronal circuits but unavoidably resembling them, as time as are respecting the same natural laws of logical and efficiency. Starting with some neural interconnection, we assumed to be interested to present some equivalent electronic models, one for every type of interconnection. Our electronic scheme models were obtained step by step using LTSpice simulation program and observing the diagrams resulted by testing the schemes, in order to have a behavior of the electronic schemes models close to the behavior of the neural circuits. Obtaining these electronic circuits models will make easier to model in the future some much complex neural circuits found in the neuroscience manuals and articles in order to better understand the complexity of the control loops in the nervous system.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123105873","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

Data Protection Device 资料保护装置

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194205

Teodor Bărbuceanu, R. Craciunescu, E. Popovici

引用次数: 0