Neha Kashyap, A. Rana, Vineet Kansal, Himdweep Walia
{"title":"Improve Cloud Based IoT Architecture Layer Security - A Literature Review","authors":"Neha Kashyap, A. Rana, Vineet Kansal, Himdweep Walia","doi":"10.1109/ICCCIS51004.2021.9397146","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397146","url":null,"abstract":"The Internet of Things is used in number of areas for convenience in everyday life. The Internet of Thing is in the need of an advanced environment for security. Internet of Thing security plays a significant role in enabling new business opportunities and save us from risk. It is also an on-demand cloud subscription service designed to enhance and secure the expanding number of connected \"things\" on our network. The combination of Internet of Things and cloud computing not only enhance the Internet of Things security but also increases the scope of its applications. However, it reveals significant security and some major problems that must be cured. Recently the security issue and challenges in the Cloud based Internet of Things focus the attention of the research group. At this point, an increasing number of surveys were moving addressing various threat modelling, emerging technologies and intrusion detection system etc. To show the gap, this paper describes Internet of Things on data security. Combining the concept of Cloud based Internet of Thing architecture with different layers, the paper proposes different security issues and challenges in Internet of Things.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121429377","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":"Eco-design of a mobile agriculture robot based on classical approach and FEM creteria","authors":"Rania Majdoubi, L. Masmoudi","doi":"10.1109/ICCCIS51004.2021.9397234","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397234","url":null,"abstract":"Mobile robotics is a necessity in today’s world. The elaboration of this robot is going through several stages, the major one is related to the design and more often the design that respects the environment \"Eco-design\". The objective of this contribution is to design an ecological mobile agriculture robot dedicated to the tasks of automatic and localized maintenance of the cultivation of strawberries inside greenhouses. The agricultural robot is composed of a mobile platform based on four driven wheels, a stereo camera vision system to detect rows and locate strawberry plants, a pump system coupled to two manipulator arms with nozzles and a laser telemeter to measure and map the environment. The energy autonomy necessary for the operation of the robot is ensured by an on-board battery, rechargeable via a photovoltaic charging station. It is why in this paper that we will use the classical design approach because of its simplicity. This approach is based on several steps from the elaboration and the technical specifications of the robot to the presentation of the CAD model and giving the final prototype.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036358","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":"QUALIFLEX based ranking system by using Interval Valued Hesitant Fuzzy Set and its application to rank the Diabetic patients","authors":"P. Srivastava, Rajkrishna Mondal","doi":"10.1109/ICCCIS51004.2021.9397179","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397179","url":null,"abstract":"India has a high prevalence of Diabetes Mellitus and the numbers are increasing day by day at an alarming rate. According to Diabetes Care report prediction of Diabetes will be doubled globally from 2000 to 2030 with a maximum rate in India. It is reported that by 2030 diabetes mellitus may afflict up to 79.4 million people in India. Indians are becoming more prone to diabetes because of unhealthy living style and diet, also due to rapid migration to metropolitan cities for employment. In today’s generation, it is required to take a proper management and right decision according to our current lifestyle. Generally, it is seen the health experts are most of the time hesitate to diagnose a Diabetic patient because Diabetes is a chronically disease, it depends on various kind of imprecise lifestyle factors. Interval-valued Hesitant fuzzy set(IVHFS) is the best mathematical tool for management and taking the right decisions for such kind of imprecise data. In this study, we have developed a ranking system based on QUALIFLEX (i.e., QUALItative FLEXible) by using IVHFS and as a case study, this ranking system is applied on Diabetic Patients according to their various imprecise category which is collected from our near health center. The output result is verified by the various medical experts in this field. This system is useful for developing a software which will be helpful for the rural areas patients where till now have not proper medical facilities.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"647 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122958115","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":"Differential Evolution based Intelligent Control Approach for LFC of Multiarea Power System with Communication Time Delays","authors":"C. S. Kalyan, C. Suresh","doi":"10.1109/ICCCIS51004.2021.9397112","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397112","url":null,"abstract":"This paper spotlights the significance of communication time delays (CTDs) on performance of dual area power system having multi-type generations. Investigation is accomplished by targeting area-1 with variation in step load of 1% perturbation (SLP). Fuzzy-PID (FPID) controller is implemented to regularize the deviations in system performance by utilizing fine tuning approach of differential evolution (DE) subjugated to error squared over integral (ISE) function. However, the performance potency of FPID controller is constituted by comparing with those of PI and PID. Moreover, the effect of CTDs on power system is clearly demonstrated by comparing the responses that are retrieved with and without considering CTDs in the system.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127858601","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":"Blind method for noise estimation using frequency domain Natural Scene features","authors":"Maryam Viqar, E. Khan","doi":"10.1109/ICCCIS51004.2021.9397204","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397204","url":null,"abstract":"Noise is a commonly encountered distortion which generally affects the high frequency regions in images. It can lead to masking effect when the level of noise is high. To distinguish between natural and noise-afflicted images and to quantify the level of degradation, several statistical features have proved to be noteworthy. In this work, a method is proposed utilizing divisive normalization based on Natural Scenes Statistics (NSS) model which closely relates to human visual perception. It extracts features from spatial as well as frequency domain. Extracted features are used to drive the Machine Learning (ML) model Gaussian Process Regression (GPR) for mapping of the scores. Several methods have been proposed till date which are compared on three databases LIVE, CSIQ and TID2013. The trained model gives the highest correlation to Human Visual System for assessment of noise in natural images.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127878686","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 Approach to identify Captioning Keywords in an Image using LIME","authors":"Siddharth Sahay, Nikita Omare, K. K. Shukla","doi":"10.1109/ICCCIS51004.2021.9397159","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397159","url":null,"abstract":"Machine Learning models are being increasingly deployed to tackle real-world problems in various domains like healthcare, crime and education among many others. However, most of the models are practically \"black-boxes\": although they may provide accurate results, they are unable to provide any conclusive reasoning for those results. In order for these decisions to be trusted, they must be explainable. Explainable AI, or XAI refers to methods and techniques in the application of AI such that the results of the solution are understandable by human experts. This paper focuses on the task of Image Captioning, and tries to employ XAI techniques such as LIME (Local Interpretable Model-Agnostic Explanations) to explain the predictions of complex image captioning models. It visually depicts the part of the image corresponding to a particular word in the caption, thereby justifying why the model predicted that word.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447281","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":"Significance of Elliptic Curve Cryptography in Blockchain IoT with Comparative Analysis of RSA Algorithm","authors":"A. Yadav","doi":"10.1109/ICCCIS51004.2021.9397166","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397166","url":null,"abstract":"In the past few years, the blockchain emerged as peer-to-peer distributed ledger technology for recording transactions, maintained by many peers without any central trusted regulatory authority through distributed public-key cryptography and consensus mechanism. It has not only given the birth of cryptocurrencies, but it also resolved various security, privacy and transparency issues of decentralized systems. This article discussed the blockchain basics overview, architecture, and blockchain security components such as hash function, Merkle tree, digital signature, and Elliptic curve cryptography (ECC). In addition to the core idea of blockchain, we focus on ECC's significance in the blockchain. We also discussed why RSA and other key generation mechanisms are not suitable for blockchain-based IoT applications. We also analyze many possible blockchain-based applications where ECC algorithm is better than other algorithms concerning security and privacy assurance. At the end of the article, we will explain the comparative analysis of ECC and RSA.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127988867","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":"Knowledge Base Model for Choking Detection in College Tennis as a Component of an Expert System","authors":"Stepan Vancurik, D. Callahan","doi":"10.1109/ICCCIS51004.2021.9397091","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397091","url":null,"abstract":"Expert system is a tool to transfer human expertise into specific domains by simulating human intelligence, behavior, and thinking. Choking under pressure in sports is characterized as suboptimal performance in certain actions. Expert systems have found their applications in various domains including sports and athletics. However, the concept of choking under pressure is yet to be tackled by the utilization of the expert system model. Therefore, this paper proposes an approach for choking detection in college tennis by designing an essential component of an expert system, knowledge base. The knowledge base model is formed based upon the expertise of tennis coaches with American college coaching experience. The model is designed for three detection levels: general, semi-personalized, and personalized. The detection of choking moments is done from racquet swing speed measurements collected by a swing speed sensor. Study data were collected with eight participants completing a total of 32 tennis sessions. Results suggest practicality of the proposed model and feasibility of choking detection in college tennis from swing speed measurements by showing that choking detection can reach 68% accuracy while keeping the error rate at 15%. The results reveal individual variations of choking patterns among college tennis players as individually oriented detection techniques return superior detection performance. Future plans for the research are to collect measurements with additional participants and to combine the gathered data with physiological parameter measurements such as heart rate and with other sport specific information such as footwork performance.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117246850","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":"A hybrid SOM-Fuzzy time series (SOMFTS) technique for future forecasting of COVID-19 cases and MCDM based evaluation of COVID-19 forecasting models","authors":"Ajay Mahaputra Kumar, Kamakleep Kaur","doi":"10.1109/ICCCIS51004.2021.9397216","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397216","url":null,"abstract":"This paper proposes a hybrid technique based on self-organized maps and fuzzy time series (SOMFTS) for future forecasting of COVID-19 cases. This paper also presents an approach for evaluation of COVID-19 forecasting models based on Multi Criteria Decision Making (MCDM). Since the evaluation of forecasting models involves more than one performance measures, it can be modeled as an MCDM problem. The experimental study presented in this paper evaluates the proposed new SOMFTS technique and seven conventional COVID-19 forecasting techniques. The results of this paper demonstrate the efficiency of SOMFTS technique for future forecasting of COVID -19 cases and the utility of MCDM methods for evaluation and selection of COVID-19 forecasting models. To demonstrate our proposed SOMFTS forecasting technique and MCDM based approach for evaluation and selection COVID-19 forecasting models, we take the number of confirmed, cured and death cases in Delhi, India, as a case study.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127553036","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":"Design and Construction of a Hybrid Edge-Cloud Smart Surveillance System with Object Detection","authors":"G.D. McBride, M. Sumbwanyambe","doi":"10.1109/ICCCIS51004.2021.9397212","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397212","url":null,"abstract":"Smart surveillance systems are becoming very popular in personal, business, environmental and government domains as they are more cost effective than legacy CCTV systems. They provide seamless integration with technologies such as smart phones and automation systems. With recent advances in resource constrained hardware and computer vision, smart surveillance systems have the ability to perform advanced object detection while lowering power consumption and costs. In this paper a hybrid edge-cloud smart surveillance system was designed and constructed using a Raspberry Pi, NoIR camera and cloud computing to provide IoT functionality and services while maintaining inference locally at the edge device. The system implemented the mobile-first SSD MobileNetV3 model for object detection, deployed using AWS services such as IoT Greengrass and Lambda allowing the system to easily scale to hundreds of surveillance nodes. The Amazon Simple Notification Service would send email and SMS notifications to the user when a detection occurs with the image of the detection and streamed the video feed to Amazon Kinesis Video Streams allowing the user to immediately view the live feed using a media viewer. Various experiments and tests were then performed in order to validate that the system worked according to the user specifications. Positive detections of both people and animals were achieved in daytime and nighttime conditions with the expected performance indices for the inference time, latency and probability percentage of detected objects. Future iterations of this system will focus on zero touch provisioning and scaling making it easier to deploy over a broad large geographical area. It will also focus on reducing resource utilization even further to cater for even more resource- constrained devices.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126946199","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}