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2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)最新文献

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Vigila: Application for General Safety Vigila:申请一般安全
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697118
R. Pai, Ashutosh Naik, Harsh Sandesara, S. Dholay
{"title":"Vigila: Application for General Safety","authors":"R. Pai, Ashutosh Naik, Harsh Sandesara, S. Dholay","doi":"10.1109/icac353642.2021.9697118","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697118","url":null,"abstract":"Most safety applications already existing in the market send SOS messages to the victim’s saved contacts and the police, which could prove to be slow in situations which demand urgency. We propose a system to counter this and to respond to such emergencies. We store real-time location of our users and when anyone presses the SOS button, all users in a 100 meter radius, around that user, are notified about the emergency along with the coordinates of the victim. Our application also maintains a comprehensive first-aid and emergency response guide which the users can peruse so they can be more helpful in such situations.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125883805","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
Efficacy Measuring Framework for the Assessment of Dynamic Honeypot 动态蜜罐评价效能测量框架
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697296
Vaishali Shirsath, M. Chandane
{"title":"Efficacy Measuring Framework for the Assessment of Dynamic Honeypot","authors":"Vaishali Shirsath, M. Chandane","doi":"10.1109/icac353642.2021.9697296","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697296","url":null,"abstract":"Honeypots are the form of decoys deployed in the network to capture malicious and unauthorized activities, they are also used to observe adversary behavior, tools, and strategies in a variety of ways. However, the effectiveness of the honeypot is only determined when it is breached by the intruder. Unfortunately, implementing and maintaining honeypots is difficult and it is also hard to measure the efficacy that compounds the problems after implementation. There is a need for some processes to determine if honeypot is efficient while it is kept active round-the-clock. This is an active issue since an ineffective honeypot could result in poor efficiency, misrepresentation, or even premature detection by an attacker. As a result, a detailed and in-depth analysis framework for honeypot efficacy has been proposed in this paper, which has hitherto not appeared in much literature, and reveals several important limitations of active honeypot for the organization when it is not required. The objective is to determine the decision matrix to assess honeypot's ability to fingerprint, obtain valid adversary data, deceive intruders, and smartly monitor the network environment at an optimum cost.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"22 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125325388","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
COVID-19 Prediction and analysis using Neural Network and Pearson Correlation 基于神经网络和Pearson相关的COVID-19预测与分析
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697225
Suyog S. Sawant, Aaryan Agrawal, Kavita Tewari
{"title":"COVID-19 Prediction and analysis using Neural Network and Pearson Correlation","authors":"Suyog S. Sawant, Aaryan Agrawal, Kavita Tewari","doi":"10.1109/icac353642.2021.9697225","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697225","url":null,"abstract":"In the present study, a neural network-based predictive model has been used to predict the trend of the second wave of COVID-19 in a few countries, namely the US, UK, Brazil, South Africa, and India. The Neural Network model was trained for the rise of first-wave and refined predicting and comparing the predictions with the observed trends of the second waves in these countries. As the US has seen a clear-cut arrival of third-wave, the methodused was a neural network tool on Matlab software to predict the covid-19 wave pattern and later used to have a prediction of third-wave in India. Pearson correlation coefficient between the covid first wave and second wave for five countries was also computed and results were rationalized in terms of the extent of population vaccinated in these countries.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525712","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 High Gain 2-11 GHz Wideband Common Gate LNA Using Shunt Series Peaking Technique for Wireless Applications 基于并联串峰技术的高增益2- 11ghz宽带共门LNA设计
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697273
Rohit Goel, Anil Kumar, Mahesh Kumar, Sandeep Kumar
{"title":"Design of High Gain 2-11 GHz Wideband Common Gate LNA Using Shunt Series Peaking Technique for Wireless Applications","authors":"Rohit Goel, Anil Kumar, Mahesh Kumar, Sandeep Kumar","doi":"10.1109/icac353642.2021.9697273","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697273","url":null,"abstract":"A wideband Low Noise amplifier is designed using Common Gate first stage followed by Common Source stage in cascade. The first stage provides a wideband input matching increasing the bandwidth and the second stage provides high gain. The low frequency gain is mainly driven by the output impedance of the first stage while the gain at higher frequencies is due to shunt series peaking technique. The proposed LNA provides high gain greater than 12 dB over the 3-dB bandwidth of 2-11 GHz achieving a maximum gain of 18.09 dB. The minimum NF achieved is 1.15 dB with a good stability over the entire range. The circuit is designed using 90 nm PTM node. The circuit will work well for a wide range of wireless applications.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124618832","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
Designing XR into Higher Education using Immersive Learning Environments (ILEs) and Hybrid Education for Innovation in HEIs to attract UN’s Education for Sustainable Development (ESD) Initiative 利用沉浸式学习环境(ILEs)和高等学校创新混合教育将XR融入高等教育，以吸引联合国可持续发展教育(ESD)倡议
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697130
Ashraf Alam
{"title":"Designing XR into Higher Education using Immersive Learning Environments (ILEs) and Hybrid Education for Innovation in HEIs to attract UN’s Education for Sustainable Development (ESD) Initiative","authors":"Ashraf Alam","doi":"10.1109/icac353642.2021.9697130","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697130","url":null,"abstract":"Numerous studies have shown the efficacy of incorporating extended reality (XR) into higher education. In light of Covid-19 pandemic and the need to improve the virtual presence of remote students and workers, university authorities prioritize the integration of different XR alternatives into education. To choose the most appropriate virtual reality (VR) platforms and apps, instructional designers (IDs) must possess analytical, design, implementation, and evaluation skills. This article shows how unique identifiers may be used to assist in the creation of high-level resources. On the one hand, we offer recommendations for well-established design models, design approaches, and methodologies, and on the other hand, we suggest templates for research and funding leadership, as well as for evaluating XR for optimum usability in higher educational institution’s applications.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070595","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
Layout of a Neuromorphic Integrated Circuit for Differential Motion Detection 一种用于差分运动检测的神经形态集成电路布局
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697146
Vinay Vishnani, Lance Fernandes, Omkar Deshmukh, Payal Shah, S. S. Rathod
{"title":"Layout of a Neuromorphic Integrated Circuit for Differential Motion Detection","authors":"Vinay Vishnani, Lance Fernandes, Omkar Deshmukh, Payal Shah, S. S. Rathod","doi":"10.1109/icac353642.2021.9697146","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697146","url":null,"abstract":"The circuitry to compute differential motion is found in the biological retina of many animals. If there is a difference between the motion (speed) in the central and peripheral visual receptive field, the ganglion cell in the retina will generate a spike which is relayed via the axon to the brain. In this paper, we have designed layout for biological cells namely - the photoreceptor cell and the bipolar cell, which are further combined together to develop a layout of a circuit for computation of differential motion. The layout has an analog adder which is used to sum the output responses of the bipolar cell. We have also simulated the schematic of individual cells and the entire system to verify the results and performed a layout versus schematic check (LVS). The layout simulation results of individual cells and the system are compared with the results from the schematic and biological experiments which are available in the published literature.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013223","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
Geofencing and Efficient Crop Prediction using Government Documents 利用政府文件进行地理围栏和有效作物预测
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697167
V. Karthikraj, Varsha Patil, Senthil Thanneermalai, V. Murugesh
{"title":"Geofencing and Efficient Crop Prediction using Government Documents","authors":"V. Karthikraj, Varsha Patil, Senthil Thanneermalai, V. Murugesh","doi":"10.1109/icac353642.2021.9697167","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697167","url":null,"abstract":"The government of Maharashtra relies on the SaatBaara (7 / 12) document to identify the ownership of the land [4]. In addition, it uses this document to classify any particular land as agricultural or commercial. However, in many cases there is a constant dispute among farmers regarding the boundaries of their lands. The documents only contain the landmarks and do not contain the exact coordinates of the land. Therefore, it is difficult to exactly demarcate the boundaries in real life. This system extracts the landmarks from the documents and pinpoints them on the map. These pinpointed landmarks can be easily readjusted by the farmer to determine the exact location of the land. Further, the farmer determines the crop that they need to sow, based on the past experience and current trend in the market prices and other factors. However, in many of the cases this proves to be inaccurate. Therefore, this system will assist the farmer on determining the type of crops that needs to be sowed on their land for maximum profit based on the documents like Soil Health Card and 7/12 document. As a result, this system can be considered the farmer’s best friend ranging from the demarcation of the boundaries to crop prediction.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128557883","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
IoT Enabled Programmable SwitchBox with existing SwitchBoard back 支持物联网的可编程开关箱，支持现有的交换机
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697141
Kush Jain, Akshay Pasari, Karan Sanghavi, G. Haldankar, R. Sutar, P. Kasambe
{"title":"IoT Enabled Programmable SwitchBox with existing SwitchBoard back","authors":"Kush Jain, Akshay Pasari, Karan Sanghavi, G. Haldankar, R. Sutar, P. Kasambe","doi":"10.1109/icac353642.2021.9697141","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697141","url":null,"abstract":"Home Automation Industry has gained quite momentum in the last decade, but the cost for the same is not something that everyone could achieve. Amplifying traditional switchboards to smart was possible at the cost of losing the ability to operate them by mechanical switching. This paper presents an invention of a Smart SwitchBox that can be complimented in the existing modular switchboards to modify the traditional Switches to Smart Switches using the Internet of Things. The Smart SwitchBox is controlled by a networking device such as a mobile or personal computer that has the ability for connecting to WiFi or the internet. After the installation of the SwitchBox, it has to be connected to a cloud-based application that will be sending commands to the particular switches on the smart switchbox. The SwitchBox can be programmed with the number of switches that are required by the user or the room. The system could be controlled manually as well with no issues of reverse toggling of the switches because of the bi-controlling option. The switchbox gives the user the management of the switches remotely without reducing the essence of being able to operate it manually as well.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129634142","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
Deep Learning Approach To Predict Software Development Life Cycle Model 预测软件开发生命周期模型的深度学习方法
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697271
Jainam Dhami, Nishant Dave, Onkar Bagwe, Abhijit Joshi, Prachi Tawde
{"title":"Deep Learning Approach To Predict Software Development Life Cycle Model","authors":"Jainam Dhami, Nishant Dave, Onkar Bagwe, Abhijit Joshi, Prachi Tawde","doi":"10.1109/icac353642.2021.9697271","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697271","url":null,"abstract":"The Software Development Life Cycle (SDLC) is a well-defined, methodical procedure for developing software that prioritizes quality. It consists of a variety of models to choose from, which differentiate among themselves in multiple ways. As a project developer, one has to choose a particular model from these SDLC models according to the forthcoming software’s requirements. This initiates a need for choosing the most appropriate model for the development of the software, so as to streamline the entire software building process, adhering to the model’s defined guidelines and its timeline. This paper presents a deep learning-based approach that automates the SDLC model selection process by recommending the most appropriate SDLC model as per the users’ requirements.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168056","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
Semantic Segmentation in Immunohistochemistry Breast Cancer Image using Deep Learning 基于深度学习的免疫组化乳腺癌图像语义分割
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) Pub Date : 2021-12-03 DOI: 10.1109/icac353642.2021.9697264
S. Benny, S. Varma
{"title":"Semantic Segmentation in Immunohistochemistry Breast Cancer Image using Deep Learning","authors":"S. Benny, S. Varma","doi":"10.1109/icac353642.2021.9697264","DOIUrl":"https://doi.org/10.1109/icac353642.2021.9697264","url":null,"abstract":"Cancer is affecting many people's lives. Uncontrollable growth of cells causes cancer. Thus, there is a need to find accurate results for the treatment of a patient by using the proper computation method. Immunohistochemistry (IHC) image is the study of stained cancerous tissue at a microscopic level. For IHC images, cancerous tissue taken during a biopsy is inspected to identify the protein expression region. Pathologists inspect the stained specimen and manually find the Region of Interest (ROI) and quantify the protein (brown color), which is subjective and time-consuming. Thus, there is a need to develop an assistive system to segment the protein expression region. In this paper, we segment the protein expression in the membranous region - HER2 expression of Breast Cancer using various segmentation models like FCN, SegNet and U-Net. U-Net performed well with an accuracy of 94%.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131676819","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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