{"title":"Survey on Smart Home Automation Systems: Tools, Technology, Architecture and Communication Interfaces","authors":"Kavita Sharma, S. Reddy","doi":"10.1109/ICCCIS56430.2022.10037661","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037661","url":null,"abstract":"The ascent of the Internet of Things (IoT) is noteworthy in beyond a couple of many years. Its growth affirms its use in various application areas i.e.: agriculture, healthcare, home automation, transportation, etc. Home Automation means extending the current activities performed inside the home with the help of developing cost effective powerful computational devices with user friendly environment by using different technologies like Wi-Fi, Bluetooth and ZigBee. These communication technologies provide controlled environment by different devices like tablet, smart phone and laptop. The Home Automation embeds the smartness in the home with the objective of operating it without any physical interference of human being. Thus, the objective of this paper is to analyse the growing trends of IoT devices to uncover the popular and growing application area i.e.: smart home environment and to have the detailed study of hardware/software tools, architectures and communication interfaces of selected IoT application area like development board, sensors, actuators, communication type, cost, development environment etc. The comparative literature study of selected application area includes the challenges and future research aspects. It will help the researchers to consider various parameters in most favoured IoT application area as per user needs.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126379709","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}
{"title":"Detection and Prediction of Air Pollution using Machine Learning and Deep Learning Techniques","authors":"Madhuri Vikas Mane, Deepak Kumar, K. Agarwal","doi":"10.1109/ICCCIS56430.2022.10037732","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037732","url":null,"abstract":"For the past several years, urbanization and industrialization have been on increase in developed nations, resulting in a huge rise in contaminated air. Citizens and governments have become increasingly worried about the detrimental effects of Air Pollution (AP). Predicting Air Quality (AQ) is a critical step that the government should take because it becoming a major public health concern. The AQ index is a metric for measuring AQ. When fossil fuels such as natural gas, coal, and wood are burned, as well as factories and motor cars, carbon dioxide, nitrogen dioxide, carbon monoxide, and other noxious gases are emitted which leads to AP. This can cause health issues such as cancer, brain impairment, and even death. The forecast of AP allows the government to take preventive actions such as restricting driving hours, partially closing factories, and issuing public service messages. So, the prediction of AP is essential and there is a lot of research being done in this field. This research article reviewed the recent works on AP prediction and present the research using five important sections. In the first section of this review, we will discuss the available methods that can be used to acquire AP data. Second, the processes that can be carried out to pre-process the raw data. Third, the prediction of pollution made use of developing technologies such as Machine Learning (ML) and Deep Learning (DL), and lastly, the evaluation of the model was discussed. The research gap and future steps on the prediction of AP also elaborated. This review will help researchers for a better understanding of the automatic prediction of AP.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"os-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979518","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}
{"title":"5G Network: Architecture, Protocols, Challenges and Opportunities","authors":"Iqra Javid, S. Khara","doi":"10.1109/ICCCIS56430.2022.10037605","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037605","url":null,"abstract":"The 5th Generation system is being established to give unmatched connectivity that will connect anything anywhere. 5G networks are designed to deliver high-speed, reduced latency for increased mobile broadband, large machine-to-machine communication and real-time applications. High data rates, high coverage, high reliability, cost-effectiveness are all advantages of 5G. This article discusses architecture, protocols, enabling technologies like mmWave, massive multi-input-multi-output, heterogeneous network, application areas of 5G and challenges in the 5G network.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134410627","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}
{"title":"LSTM based Receiver Design for Baseband Signal Demodulation","authors":"P. Varsha, V. Hari","doi":"10.1109/ICCCIS56430.2022.10037633","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037633","url":null,"abstract":"This paper summarizes an intelligent correlation receiver design for baseband demodulation with Long Short Term Memory based Deep Learning technique. We explain the generation of training data, bipolar signaling, consideration of channel noise. i.e, Additive White Gaussian Noise, training of model, fine tuning of dense layers to properly fit the communication application. Better Bit Error Rate performance over conventional correlation receiver is observed by DL model subjected to a AWGN noise channel with a noise in Signal to Noise Range of −50 dB to 20 dB. We validate this by applying the customized model to reconstruct successfully a Pulse Code Modulated 255 $mu$-law companded audio signal immersed in AWGN noise channel.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131615952","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}
{"title":"An Enhanced Copy-deterrence scheme for Secure Image Outsourcing in Cloud","authors":"J. Anju, R. Shreelekshmi","doi":"10.1109/ICCCIS56430.2022.10037682","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037682","url":null,"abstract":"In this paper, we propose a novel watermarking-based copy deterrence scheme for identifying data leaks through authorized query users in secure image outsourcing systems. The scheme generates watermarks unique to each query user, which are embedded in the retrieved encrypted images. During unauthorized distribution, the watermark embedded in the image is extracted to determine the untrustworthy query user. Experimental results show that the proposed scheme achieves minimal information loss, faster embedding and better resistance to JPEG compression attacks compared with the state-of-the-art schemes.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944802","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}
{"title":"Blockchain Technology in Construction Supply Chain Management During Pandemic: A Bibliometric Analysis and Systematic Literature Review","authors":"Rohan V. Sawant, D. Joshi, Radhika Menon","doi":"10.1109/ICCCIS56430.2022.10037673","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037673","url":null,"abstract":"The supply chain in the construction industry faces numerous constraints such as a lack of coordination, communication, collaboration, and technological advancement. Supply chain management is critical when products are transferred from one organization to another until they reach end users or consumers without being damaged, counterfeited, or delayed. Despite extensive research, little is known about the factors that will lead to better construction supply chain management. The reason for this examination is to make a bibliometric investigation in light of the verifiable solidification of distributions and branches of knowledge. It intends to recognize research trends, authers, nations, and organizations utilizing VOSviewer. The construction project all over the world have been uncovered in different manner by the COVID-19 pandemic. This paper makes sense of how it is feasible to proceed with development work in this present circumstance. The relevant literature in the field of Blockchain in construction supply chain management is retrieved using the Scopus, Web of Science database as the research object. If the construction work carry on, the economic downturn will be decreased and unemployment will also be decreased. The mapping of Blockchain Construction Supply Chain Management scientific production enabled the visualization of networks of co-occurrence of keywords.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035932","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}
{"title":"Classification of Melanocytic Nevus Images using BigTransfer (BiT) : A study on a novel transfer learning-based method to classify Melanocytic Nevus Images","authors":"Sanya Sinha, Nilay Gupta","doi":"10.1109/ICCCIS56430.2022.10037627","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037627","url":null,"abstract":"Skin cancer is a fatal disease that takes a heavy toll over human lives annually. The colored skin images show a significant degree of resemblance between different skin lesions such as melanoma and nevus, making identification and diagnosis more challenging. Melanocytic nevi may mature to cause fatal melanoma. Therefore, the current management protocol involves the removal of those nevi that appear intimidating. However, this necessitates resilient classification paradigms for classifying benign and malignant melanocytic nevi. Early diagnosis necessitates a dependable automated system for melanocytic nevi classification to render diagnosis efficient, timely, and successful. An automated classification algorithm is proposed in the given research. A neural network previously-trained on a separate problem statement is leveraged in this technique for classifying melanocytic nevus images. The suggested method uses BigTransfer (BiT), a ResNet-based transfer learning approach for classifying melanocytic nevi as malignant or benign. The results obtained are compared to that of current techniques, and the new method’s classification rate is proven to outperform that of existing methods.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133431838","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}
{"title":"Circuit realization of chaotic systems with quadratic nonlinearity using AD633 based generic topology","authors":"Kriti Suneja, N. Pandey, R. Pandey","doi":"10.1109/ICCCIS56430.2022.10037747","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037747","url":null,"abstract":"This paper presents the systematic realization of chaotic systems, with cross product or quadratic type non-linearities, using only one type of active building block, namely AD633, which is a commercially available Integrated Circuit (IC) of Analog Multiplier (AM), and few off the shelf passive components, namely resistors and capacitors. The number of AD633s required in the proposed scheme is equal to the dimension of the system. This reduces the requirement of summation/ subtraction circuits involving voltage and current mode active building blocks, thus reducing the component count significantly and make the design of chaotic circuits simple and cost effective. The simulations have been performed in LTspice design environment, and the results in the form of phase space diagrams have been presented for two chaotic systems: Rabinovich chaotic system and Lorenz chaotic system. The shape of the phase space plots, also known as attractors confirms the feasibility of the proposed approach.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128852315","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}
{"title":"Detection of Covid-19 using Transfer Learning Technique","authors":"Nilesh Kumar, Atul Tripathi, Isha Pathak Tripathi","doi":"10.1109/ICCCIS56430.2022.10037690","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037690","url":null,"abstract":"The whole world is suffering from the wave of the novel coronavirus that causes the large-scale death of a population and is proclaimed a pandemic by WHO. As RT-PCR tests to detect Coronavirus are costly and time taking. So now these days, the purpose of the researcher is to detect these diseases with the help of Artificial Intelligence or Machine learning-based models using CT scan images and X-rays images. So the testing cost, time taken and the number of data required could be minimized. In this paper, transfer learning based on three fine-tuned models has been proposed for Covid detection. The performance of these proposed fine-tuned models has been also compared with other competing models to check the accuracy and other matrices.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114771517","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}
{"title":"Analyzing the Users’ De-familiarity with Thumbnails on OTT Platforms to Influence Content Streaming","authors":"Garima Sahu, Loveleen Gaur, Gurmeet Singh","doi":"10.1109/ICCCIS56430.2022.10037670","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037670","url":null,"abstract":"Personalization facilitated by Artificial Intelligence technologies is crucial to the success of OTT (over-the-top) streaming sites. The thumbnail is the first thing users see when browsing content on an OTT platform, and it significantly impacts how they decide to stream it. This study investigates users’ perceptions and streaming intentions of customizable thumbnails on OTT sites. Therefore, in the study, we will test the hypothesis that users’ de-familiarity with thumbnails outweighs the main movie poster art as it is too known to be observed or obscures the primacy effects. In addition, we will explore whether altering the appearance of a thumbnail impacts the streaming of content. The outcomes showed that the streaming content differs depending on how well the thumbnail can be spotted on the OTT application. The investigation results will be quantitatively verified using one-way ANOVA and simple regression.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"627 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470799","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}