2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献

Alternet - Monetizing Computing Resources for an Ad-Free Web Experience Alternet -货币化计算资源为一个无广告的网络体验

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031966

Prasanna B. T, Pranav Bedre G H, Vijeth Vaishnav D, Pruthvi H P, Praharshitha Abhay Kulkarni

引用次数: 0

Multiclass Classification of Brain Tumor for MR Images Using Shallow Autoencoder Based Neural Network 基于浅自编码器的神经网络对MR图像中脑肿瘤的多类分类

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031727

Parvathy Jyothi, S. Dhanasekaran, R. Singh

{"title":"Multiclass Classification of Brain Tumor for MR Images Using Shallow Autoencoder Based Neural Network","authors":"Parvathy Jyothi, S. Dhanasekaran, R. Singh","doi":"10.1109/ICMNWC56175.2022.10031727","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10031727","url":null,"abstract":"Brain tumor is an abnormal growth of cells, that may be cancerous or non-cancerous. The earlier prediction, identification, and classification of tumor is essential for rapid diagnosis. In brain MRI, the size and location of tumors can be diverse for different patients. Because of the increased flow of patients in scan centers, patients must now wait for a long time to collect their reports from the radiologists, as it ends up taking the radiologists a long time to classify the images. The proposed methodology in this work can classify tumors from MR brain images into three categories. At first, a shallow autoencoder network is designed for image reconstruction. The encoder segment is made up of three convolutional layers, and in decoder segment, four layers are used for reconstruction. Autoencoder offer excellent noise robustness and feature reduction thereby reducing the possibility of over-fitting. Secondly, to perform classification, an additional convolutional layer is added to the encoder part of neural network along with 2$times$2 filter. The features extracted from the encoder part were given to a single layer dense neural network and finally testing is performed on SoftMax layer for the classification. The developed algorithm was trained and evaluated on the Cheng dataset, and achieved an accuracy of 95.26%. The developed methods’ outcomes outperform well than the conventional techniques.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127538406","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

EHLS: Beginner to Advanced Ethical Hacking Learning Platform EHLS:初学者到高级道德黑客学习平台

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031838

A. Gubran, Vinesha Selvarajah, Julia Juremi, Vinothini Kasinathan

引用次数: 0

Improved Particle Swarm Communication Algorithm for wireless communication Network Base Station Optimization Application 改进粒子群通信算法在无线通信网络基站优化中的应用

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031825

Zichun Wang

{"title":"Improved Particle Swarm Communication Algorithm for wireless communication Network Base Station Optimization Application","authors":"Zichun Wang","doi":"10.1109/ICMNWC56175.2022.10031825","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10031825","url":null,"abstract":"In recent years, with the increase of network users, people's requirements for communication quality have been gradually improved. In order to increase the coverage of wireless communication(WC) network and improve the efficiency of using communication network, this paper improves the quality of WC by optimizing the base station location, and analyzes the optimal location of base station construction by using the location-seeking characteristics of improved particle swarm optimization algorithm. In this regard, based on the improved particle swarm algorithm, the optimal network coverage optimization goal is achieved by designing the base station location optimization scheme with the least number of network nodes and the least energy consumption. The experimental results show that the network energy consumption is smaller and the network survival time is more after the original PSO algorithm and the improved PSO algorithm compared to the unoptimized base station location, and the improved PSO algorithm is more effective than the original PSO algorithm.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084566","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

Capacity Optimization Configuration of Wind-Solar IES Considering Hydrogen Energy Storage 考虑储氢的风能-太阳能IES容量优化配置

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031916

Gui-ping Zhou, Zhihong Wang, Shitao Wang, Wenjia Jiang, J. Cai

引用次数: 0

Intelligent Outlier Detection for Smart Farming Application using Deep Neural Network 基于深度神经网络的智能离群点检测在智能农业中的应用

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031638

N. Murali, A. S. Kumar, A. Karunamurthy, R. Suseendra, S. Manikandan

{"title":"Intelligent Outlier Detection for Smart Farming Application using Deep Neural Network","authors":"N. Murali, A. S. Kumar, A. Karunamurthy, R. Suseendra, S. Manikandan","doi":"10.1109/ICMNWC56175.2022.10031638","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10031638","url":null,"abstract":"Agriculture is backbone of India. In the emerge of human civilization, agriculture has been an essential part of every human society due to the basic fact that the sustenance of any civilization directly depends on agriculture. Agriculture has the great impact on the economy of the country. This paper mainly concentrates on increasing crop production in large scale agricultural area. Due to changing climatic conditions, insufficient water level, insufficient or excessive use of fertilizers etc. the crop production may be affected. Astonishingly, agriculture has not been blessed with the latest advancements in the high-tech space unlike other areas like transport, education, finance, etc. Advancement in agriculture is necessary to balance the demands of people needs as the population grows day by day. The detection of outliers in large-scale area is most challenging tasks. Hence, we explore machine learning methodologies namely Deep Neural Network and Tucker Decomposition is used to detect those anomalies in large scale agriculture area to increase crop production. In this smart farming, the system automatically learns the soil features from IoT sensor data then provides anomaly detection accuracy which helps the farmer to understand the parameters affect the crop growth. This will enhance the crop productivity and economy of farmer. Our system automatically learns the data, analyzes the data and predicts the future.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954295","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

Multi-Objective Optimization Design System for Rural Style Reconstruction Based on Pareto Evolutionary Algorithm 基于Pareto进化算法的乡村风貌改造多目标优化设计系统

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031959

J. Bao

{"title":"Multi-Objective Optimization Design System for Rural Style Reconstruction Based on Pareto Evolutionary Algorithm","authors":"J. Bao","doi":"10.1109/ICMNWC56175.2022.10031959","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10031959","url":null,"abstract":"With the continuous development of rural construction in our country, the living standards of residents are gradually improved, and people have requirements for the quality of the houses they live in and the quality of the living environment. With the in-depth development of Pareto evolutionary algorithms, multi-objective evolutionary algorithms have introduced More and more other fields of theory. In order to solve the shortcomings of the existing research on the multi-objective optimization design system of rural style reconstruction, this paper discusses the performance index function equation of multi-objective evolutionary algorithm and the principle of rural style reconstruction, aiming at the rural style reconstruction based on Pareto evolutionary algorithm The transformation site selection and system parameter setting of the multi-objective optimal design system are briefly introduced. And the work flow design of the multi-objective optimal design system model for rural style reconstruction based on Pareto evolutionary algorithm is discussed. Finally, the application of the multi-objective optimal design system for rural style reconstruction based on Pareto evolutionary algorithm and the other three algorithms are analyzed experimentally. The experimental data shows that, the number of non-dominated solutions of the transformation scheme obtained by the Pareto evolutionary algorithm in the application test reached the number of 100 twice, and the minimum number was 97, while the minimum number of MOE, SMS and TVM was 2S, 5S and 27 respectively, so The superiority of the multi-objective optimal design system for rural style reconstruction based on Pareto evolutionary algorithm is verified.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114508217","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

Application of Big Data Technology in Ecological Environment Quality Evaluation System 大数据技术在生态环境质量评价体系中的应用

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10032037

Xiaopeng Hao

{"title":"Application of Big Data Technology in Ecological Environment Quality Evaluation System","authors":"Xiaopeng Hao","doi":"10.1109/ICMNWC56175.2022.10032037","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10032037","url":null,"abstract":"With the continuous development of society and the continuous progress of science and technology, human beings have brought disaster to the ecological environment while creating civilization. The consumption of human resources on the earth has exceeded the load. The destruction of the earth will inevitably backfire to human beings, and it is urgent to protect the ecological environment. This paper aims to develop an environmental protection publicity system, which comprehensively considers the various ecological environmental factors affecting production, such as topography, soil, accumulated temperature, precipitation and hydrology, to establish the ecological environment information database, design and realize the ecological environment quality evaluation system, and promote the coordinated and sustainable development of human and ecological environment. This paper constructs the remote sensing ecological evaluation index (rsei) model. Based on the VS platform, using AE secondary development tools, and using the mixed programming technology of c#, IDL and python, the eco-environmental quality evaluation system is developed. The functions of remote sensing image preprocessing, index factor extraction, model calculation and thematic map making are realized. It is helpful to improve the efficiency of information extraction and shorten the cycle of eco-environmental evaluation in the application of urban ecological environment evaluation. The system test shows that the average response time of transaction is 21.681 seconds. When the number of users in unit list query reaches 600, the average corresponding time of transaction is 21.681 seconds when the duration of execution is 15 minutes and 33 seconds, and the maximum value is 50.058 seconds, which shows that the test results of a single unit are relatively ideal.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129552747","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

Prediction of Early Stage Breast Cancer by Injection of Gold Nano Particles and Analyzing Images using Data Analytics 注射金纳米颗粒预测早期乳腺癌及使用数据分析分析图像

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10031956

Sreevidya Nelli, K. B

{"title":"Prediction of Early Stage Breast Cancer by Injection of Gold Nano Particles and Analyzing Images using Data Analytics","authors":"Sreevidya Nelli, K. B","doi":"10.1109/ICMNWC56175.2022.10031956","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10031956","url":null,"abstract":"According to recent studies, breast cancer is the most common cancer among women, and its prevalence is steadily increasing. An early diagnosis and treatment of this condition can greatly increase the chances of a cure. Further, Long-term mortality rates from breast cancer dramatically lowered by early cancer identification. Finding cancer cells in their early stages is the most important step for the best prognosis. Researchers have examined a variety of breast diagnostic techniques, including mammography, ultrasound, positron emission tomography, and biopsy. These methods have some drawbacks, though, such the fact that they are expensive, time-consuming, and unsuitable for young women. Therefore, it is vital to create a quick and sensitive early-stage breast cancer diagnosis tool. Recently, the rapid advancement of nanotechnology has increased research on nanoparticles, especially those that can be applied to the medical field. Gold nanoparticles (AuNPs) are continuously being studied and used as tools for further research resulting in ever-expanding knowledge that constantly challenges the frontiers of nanotechnology. An increasing interest is being manifested in the use of AuNPs to treat cancer, from diagnosis and monitoring through to treatment. Cancer is a multifactorial disease that requires multifaceted treatments, so these efforts aim to revolutionize current methods of treating it. In this review, the current applications of AuNPs in early breast cancer diagnosis and the importance of biosensors in predicting early cancer occurrence are discussed.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"1998 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240682","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

Economic Dispatch Modeling of Multi-Energy Flow Coupled Network Considering Hydrogen Energy Storage 考虑氢储能的多能流耦合网络经济调度建模

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2022-12-02 DOI: 10.1109/ICMNWC56175.2022.10032024

Gui-ping Zhou, Zhihong Wang, Shitao Wang, Wenjia Jiang, J. Cai

{"title":"Economic Dispatch Modeling of Multi-Energy Flow Coupled Network Considering Hydrogen Energy Storage","authors":"Gui-ping Zhou, Zhihong Wang, Shitao Wang, Wenjia Jiang, J. Cai","doi":"10.1109/ICMNWC56175.2022.10032024","DOIUrl":"https://doi.org/10.1109/ICMNWC56175.2022.10032024","url":null,"abstract":"In order to improve the utilization rate of wind and PV power, this paper proposes a dispatch model for IES with Wind-PV-Hydrogen storage system considering hydrogen energy storage conversion, methanation, and carbon capture. We add a hydrogen storage system in the IES to absorb the abandoned wind and solar energy to improve green power utilization; and use a methanation reactor to convert hydrogen into methane to improve the system's absorption capacity, while increasing the consideration of carbon. The captured gas turbines and gas boilers meet the electricity, heat and gas loads of the Regional Integrated Energy System (RIES). The total energy purchase cost, the minimum total operation and maintenance cost and the minimum amount of curtailment of wind and PV power are taken as the objective functions, and the stable operation characteristics of each equipment are taken as the constraint conditions. According to this, the economic dispatch model of RIES is established. The experimental results show that the RIES proposed in this paper has good economic efficiency and wind-solar absorption capacity.","PeriodicalId":312834,"journal":{"name":"2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086172","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