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2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)最新文献

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A Review on Human Action Recognition Approaches 人体动作识别方法综述
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509646
S. Gupta, D. Kumar, V. Athavale
{"title":"A Review on Human Action Recognition Approaches","authors":"S. Gupta, D. Kumar, V. Athavale","doi":"10.1109/CSNT51715.2021.9509646","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509646","url":null,"abstract":"Action Recognition is a new world-specific branch implemented in various applications like surveillance, health monitoring, and computer vision. Human Action Recognition is a challenging task in the research area field. Most of the researchers suggested efficient machine learning HAR algorithms like SVM and KNN. The dataset used in state of the art HAR schemes is readily available on a social platform. The features learning and classification approaches are used for motion detection. Activities like walking, running, jumping, sleeping, falling, and interaction are recognized by the machine learning approach. In this paper, we are presenting various machine learning and hybrid algorithm for the HAR task. Different datasets tested by the researchers with their developed work. The accuracy achieved by all reviewed studies also mentioned with their advantages. Based on these studies, we work on the combination of deep learning and machine approaches for the HAR. The HAR approaches depend on the wearable sensor as well as the recording devices.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427677","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: 5
Advancing Deep Learning for Supply Chain Optimization of COVID-19 Vaccination in Rural Communities 推进深度学习优化农村社区COVID-19疫苗接种供应链
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509710
Miguel F. Barajas, Shilpa Bhatkande, Pireethi Baskaran, Hardik A. Gohel, Bishwajeet K. Pandey
{"title":"Advancing Deep Learning for Supply Chain Optimization of COVID-19 Vaccination in Rural Communities","authors":"Miguel F. Barajas, Shilpa Bhatkande, Pireethi Baskaran, Hardik A. Gohel, Bishwajeet K. Pandey","doi":"10.1109/CSNT51715.2021.9509710","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509710","url":null,"abstract":"Covid19 is a global pandemic that brought lots of disruptions in day-to-day life, affected economies, closed millions of businesses, and took a lot of precious lives. Along with social distancing and wearing masks, the effective way to eradicate the virus is to administer vaccines. To prevent the spread of disease and avoid deaths, it is essential to prioritize vaccine distribution. At the request of CDC, National Academies of Science, Engineering and Medicine published the Framework for fair distribution of COVID-19 Vaccine. This paper focuses on studying the rate of vaccination in urban and rural communities and identifying gaps in the Covid19 vaccine supply chain using data science. Demand forecasting using deep learning is proposed for planning vaccine allocation and distribution. Deep learning refers to multilayer neural networks that can learn extremely complex patterns using hidden layers between inputs and outputs. Long Short-Term Memory neural networks will be used to forecast vaccine demand.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125830569","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
The Hybrid Cryptography for Enhancing the Data Security in Fog Computing 提高雾计算中数据安全性的混合密码
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509603
S. Tripathi, Rakesh Kumar Tiwari, Rajesh K. Nigam, N. Gupta, B. Verma
{"title":"The Hybrid Cryptography for Enhancing the Data Security in Fog Computing","authors":"S. Tripathi, Rakesh Kumar Tiwari, Rajesh K. Nigam, N. Gupta, B. Verma","doi":"10.1109/CSNT51715.2021.9509603","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509603","url":null,"abstract":"Cloud computing is taking as exciting technology because of its economic behavior. The major issue in the cloud is its security because it is far from end-user a new thing applied science is developed called fog computing. Fog computing is the standard partition infrastructure between edge and cloud computing. Security is the main concern or large issue in the cloud as well as fog computing. To overcome this security issues different types of encryption techniques is used but security problem is still there. Here, in this work, a hybrid encryption approach is used. It is a combination of symmetric algorithms that is Chacha20poly1305, Fernet, Multifernet, AESCM, and AESGCM. It offers a higher degree of security than the existing algorithm. It is applied all over the data, All datasets are encrypted by this technique as well as decrypt by this hybrid approach. Consider all the parameters like decryption time, storage, correlation, and encryption time. The result shows how it is a better approach than the existing algorithm.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123410319","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
Load frequency control of a photovoltaic-pumped hydro power energy storagebased micro-grid System 基于光伏抽水蓄能的微电网系统负荷频率控制
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509711
Rebecca Lalparmawii, Subir Datta, S. Deb, Sumana Das
{"title":"Load frequency control of a photovoltaic-pumped hydro power energy storagebased micro-grid System","authors":"Rebecca Lalparmawii, Subir Datta, S. Deb, Sumana Das","doi":"10.1109/CSNT51715.2021.9509711","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509711","url":null,"abstract":"A renewable energy micro-grid (REMG) based on pumped hydropower energy storage (PHES) is designed to provide an increasing load demand. Micro-pump storage units (MPSUs) are constructed to be used as energy storage system to improve power quality and safe reactive power supply. Frequency variation and tie-line power exchange arose due to mismatch between load and generation is constantly measured. To maintain system stability Load frequency control (LFC) is studied. An LFC controller based on Fractional Order (FO) PI for two-areas in the REMG is proposed. An optimization of the controller is done with Firefly Optimization Algorithm (FOA). Study system is performed in MATLAB using Simulink platform and simulation results are examined in details. Results show that proposed technique gives better responses as that of classical PI controller.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037207","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
Effect of Gate Metal Work Function on Leakage Current in Single Pocket FDSOI 28 nm Transistor 栅极金属功函数对单口袋FDSOI 28nm晶体管漏电流的影响
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509715
Aryan Kannaujiya, Sandhya Kannaujiya, R. Chauhan
{"title":"Effect of Gate Metal Work Function on Leakage Current in Single Pocket FDSOI 28 nm Transistor","authors":"Aryan Kannaujiya, Sandhya Kannaujiya, R. Chauhan","doi":"10.1109/CSNT51715.2021.9509715","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509715","url":null,"abstract":"This brief is reporting a useful design to modulate threshold voltage and leakage current in single pocket fully depleted silicon on insulator. A comparative analysis has been made between the device without pocket and single pocket device. Since device size is in nanoscopic scale therefore a peak electric field occurs to mitigate this issue pocket is made. This work highlights the effects of variation in metal gate work function on threshold voltage and leakage current. Analysis shows the E-field distribution in single pocket device is much better than the E-filed distribution in the conventional device. On same metal gate work function 4.3 eV to 4.8 eV single pocket device has better switching speed and low leakage current than that of conventional device. The simulation of both devices has been handled by ALTAS TCAD tool.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"102 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116520312","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: 3
Exploring Blockchain enabled Smart Community with Electric Vehicles 探索基于区块链的电动汽车智能社区
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509598
A. K, Chaitanya Kapoor, N. A, Sai Shibu N B, B. S
{"title":"Exploring Blockchain enabled Smart Community with Electric Vehicles","authors":"A. K, Chaitanya Kapoor, N. A, Sai Shibu N B, B. S","doi":"10.1109/CSNT51715.2021.9509598","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509598","url":null,"abstract":"The demand for Electric vehicles (EV) are growing day by day. But the power grid is operating in bottleneck to meet customer power requirements. Blockchain technology is being used in applications that involves transaction between untrusted entities. We propose blockchain enabled energy pooling platform with smart buildings and EVs. This platform enables peer to peer energy transactions between buildings and EVs. Rooftop photovoltaic (PV) systems generate power during daytime and utilised by the loads. We propose, EVs to store the excess energy generated from the rooftop PV system. EVs will discharge the stored energy during night or when there is an energy demand. We have demonstrated this concept with two use cases using Ethereum Platform on Google Cloud Platform. We also developed a Fuzzy Logic based smart contract to decide incentives for energy storage and discharge. We envision that this platform will help EV owners, OEMs and grid operators to maximise their system efficiency and help recoup their investment.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116522343","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: 8
A Hybrid Unsupervised Feature Selection Algorithm 一种混合无监督特征选择算法
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509674
Rana Pratap Singh, Kuldeep Singh Jadon
{"title":"A Hybrid Unsupervised Feature Selection Algorithm","authors":"Rana Pratap Singh, Kuldeep Singh Jadon","doi":"10.1109/CSNT51715.2021.9509674","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509674","url":null,"abstract":"Due to the explosion of data, a vast amount of high-dimensional data like images, texts as well as medical microarray data are generated. In addition to exponentially raising measurement storage and processing strain on algorithms & computer hardware, direct processing of high-dimensional data often results in poor performance because of irrelevant, noisy as well as duplicate dimensions. A large number of features present in the dataset used for machine intelligence purposes pose a big threat to researchers. Algorithms that use these large dimension features suffer in terms of computer time taken to make decisions and space required to store them in computer memory. In the proposed work we have developed a hybrid algorithm to select the highly discriminative features present in the dataset. Using the multicluster feature rank score and unsupervised discriminative feature ranking methods in selecting the most discriminative features, on some well-documented datasets like the ORL, we have carried out comprehensive experiments. Our experimental results have proven the superiority of our algorithms in comparison to some state-of-the-art algorithms.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122534794","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
Speech Emotion Recognition System With Librosa 基于Librosa的语音情感识别系统
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509690
P. Babu, V. Siva Nagaraju, Rajeev Ratna Vallabhuni
{"title":"Speech Emotion Recognition System With Librosa","authors":"P. Babu, V. Siva Nagaraju, Rajeev Ratna Vallabhuni","doi":"10.1109/CSNT51715.2021.9509690","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509690","url":null,"abstract":"In this paper, we propose a system that will analyze the speech signals and gather the emotion from the same efficient solution based on combinations. This system solely served to identify emotions present in the signal or speech using concepts of deep learning and algorithms of machine learning (ML). Using the above mentioned, the system will determine the eight emotions present in the speech signal; anger, sad, happy, neutral, calm, fearful, disgust and surprised. The system is built with the language python and librosa, sound file libraries, which are part of the more extensive scikit library used for specific applications of audio analysis. The system will receive the sound files from the dataset present on the internet called RAVDESS. It will then analyze the audio files' spectrograms in WAV format and return us the efficiency of the system, which is the intended Outcome. We have achieved an efficiency rate of 81.82%.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114582154","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: 6
Impact of tourist demand, from COVID-19, on the sustainable Inca infrastructure of Ollantaytambo, Urubamba – Cusco – Peru 2019冠状病毒病对秘鲁乌鲁班巴-库斯科奥扬坦博印加基础设施可持续发展的影响
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509723
D. Esenarro, J. Santos, Christian Teodoro, Bishwajeet Pandey, Ciro Rodriguez
{"title":"Impact of tourist demand, from COVID-19, on the sustainable Inca infrastructure of Ollantaytambo, Urubamba – Cusco – Peru","authors":"D. Esenarro, J. Santos, Christian Teodoro, Bishwajeet Pandey, Ciro Rodriguez","doi":"10.1109/CSNT51715.2021.9509723","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509723","url":null,"abstract":"The objective of the study is to analyze how tourism demand impacts, in the sustainable Inca infrastructure of Ollantaytambo in Cusco during 2020 in COVID-19. Based on bibliographic reviews presented in other research, regulations, and registration of updated data from the last 10 years in the tourism sector, such as the registration of visitors, flights, and others. There was relying on GIS tools to determine its location and accessibility. For its development, there were stages of recognition and description of the study area, characterization of the physical and demographic aspects, analysis of the data collected and tourist demand, and identifying the impacts from COVID-19. It was found that By 2020, a considerable increase in the tourist demand of Ollantaytambo was expected. However, the repercussion caused by the COVID-19 pandemic, the visitor registration in Ollantaytambo fell by 73% compared to 2019 and flights fell by 71, 7%, thus concluding that tourism has had a significant drop, with uncertain prognostic. A change in the current tourist dynamics allows controlling the capacity, respecting the spaces, taking care of the visitor, and generating a greater organization for developing the tourist activity.","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583223","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: 2
Welcome from CSNT 2021 General Chair 欢迎来自CSNT 2021的总主席
2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2021-06-18 DOI: 10.1109/CSNT51715.2021.9509560
{"title":"Welcome from CSNT 2021 General Chair","authors":"","doi":"10.1109/CSNT51715.2021.9509560","DOIUrl":"https://doi.org/10.1109/CSNT51715.2021.9509560","url":null,"abstract":"","PeriodicalId":122176,"journal":{"name":"2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127015","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
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