2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)最新文献

{"title":"Review Paper for Detection of COVID-19 from Medical Images and/ or Symptoms of Patient using Machine Learning Approaches","authors":"Akshay Kumar Siddhu, Ashok Kumar, Shakti Kundu","doi":"10.1109/SMART50582.2020.9336799","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336799","url":null,"abstract":"The new type of coronavirus COVID-19 virus was first detected in Wuhan-China. A COVID-19 certified patient is characterized by fever, fatigue, and dry cough. The coronavirus (COVID-19) epidemic is spreading worldwide. In this review paper, a database of X-ray, CT-Scan images from patients with common bacterial pneumonia, confirmed Covid-19 infection, and common cases, were used to automatically detect Coronavirus infection. The purpose of the study was to evaluate the effectiveness of COVID-19 acquisition. During the COVID-19 scenario, the number of infected cases rises in huge number globally. Due to this fact, a vital decision had been taken by medical experts and infected patients to adopt various medical facilities within a reasonable amount of time.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301033","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":"LoRa for the Last Mile Connectivity in IoT","authors":"Sankar Dasiga, A. Bhatia, Atul Bhirangi, A. Siddiqua","doi":"10.1109/SMART50582.2020.9337114","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337114","url":null,"abstract":"Cost-effective, low-power and wireless connectivity are among the key considerations for interconnecting the end-nodes or end-devices in the Internet of Things (IoT) applications. While wireless technologies such as WiFi, Bluetooth, Zigbee have been popular choices for last-mile connectivity, they however significantly restrict the distance between the communicating entities. While the use of additional network gear like repeaters or higher signal transmission power would increase the range of these wireless communication interfaces, the consequent increase in the cost has been a critical reason for not readily employing them in WAN based IoT applications such as Smart Cities. The emergence of the LoRa (Long Range) standard and the Low Power Wide Area Network (LPWAN) technology, in recent times, have however widened the scope and also broadened the deployment scenarios of the IoT end-nodes including the viability of the battery-powered and non-stationary ones. Yet another significance of these new long-distance-low-power interconnect standards is the empowerment for broader and independent Machine to Infrastructure (M2I) and Machine to Machine (M2M) communication for the end-nodes. This paper discusses details of the work that was carried out to explore the suitability of LoRa and LoRaWAN to address the short as well as the medium-range connectivity requirements of the IoT applications while also ensuring the flexibility and low-cost benefits with the help of results obtained from the representative experimental setups. The overall study and assessment were performed in steps, each with specific objectives. The first step was aimed at evaluating the performance of LoRa for communication between stationary as well as moving nodes. The next step was directed towards the validation of node-to-gateway and node-to-node communication, and also, with simultaneous use of different channels within LoRaWANs that were configured in star and mesh topologies. The subsequent step was devoted to assessing the viability of LoRa in broader IoT applications such as Smart Cities and Smart Irrigation, with the help of an illustrative setup comprising of nodes with sensors and actuators and, a gateway which was connected to an open-source cloud infrastructure to epitomize aspects of storage and analysis of data of a comprehensive IoT deployment.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126338121","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":"Object Recognition and Security Improvement by Enhancing the Features of CCTV","authors":"H. S. kanyal, Mukulit Goel, Amit Singh Tomar, Harshit Yadav, Koshinder Singh","doi":"10.1109/SMART50582.2020.9337065","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337065","url":null,"abstract":"In the today's scenario, security is the biggest concern. Everybody wants the best security for their homes, offices or companies. We have various options for the security including CCTV (Closed-Circuit Television). In our proposed system, we have tried to improve the security provided by the CCTVs. With our system, CCTV will not only capture the things but also recognize the threat and take actions accordingly. In our system, we have implemented OR (Object Recognition), alarm system etc. to enhance the security provided by CCTVs. In current CCTV, the system is only capable of capturing the shots. They do not have object recognition facility. However, we need a system that is capable of capturing as well as recognizing any kind of threat. In our system various types of technologies and API's are used like Tensorflow Object Detection, Twilio (Communication API), OpenCV (Open Source Computer Vision), MySQL Connector. So with this we tried to improve the security as well as reliability of CCTV system.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129757419","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":"Compact UWB Microstrip Antenna for THz Communication Application","authors":"Anubhav Kumar, Divya Saxena","doi":"10.1109/SMART50582.2020.9337088","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337088","url":null,"abstract":"A compact and circular shape radiator UWB microstrip antenna for THz band application is proposed. The antenna is designed for simulation analysis on the low cost FR-4 substrate. The partial ground, tapered shape feed line and circular shape radiator are used to achieve the 10dB impedance bandwidth. The 10 dB impedance bandwidth of antenna varies from 3.3 THz to 28 THz. The realized gain (peak) of presented antenna is 14.18 dB at 22.75 THz frequency. The compact size of the UWB microstrip antenna is 120 µm x80 µm. The presented antenna has a compact size, omni-directional radiation pattern, and UWB frequency so that it can be suitable in THz band application.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121929418","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":"Bank Loan Prediction System using Machine Learning","authors":"Anshika Gupta, V. Pant, Sudhanshu Kumar, P. Bansal","doi":"10.1109/SMART50582.2020.9336801","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336801","url":null,"abstract":"With the advancement in technology, there are so many enhancements in the banking sector also. The number of applications is increasing every day for loan approval. There are some bank policies that they have to consider while selecting an applicant for loan approval. Based on some parameters, the bank has to decide which one is best for approval. It is tough and risky to check out manually every person and then recommended for loan approval. In this work, we use a machine learning technique that will predict the person who is reliable for a loan, based on the previous record of the person whom the loan amount is accredited before. This work's primary objective is to predict whether the loan approval to a specific individual is safe or not.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121251738","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":"Android Malware Detection Amid COVID-19","authors":"Rohit Srivastava, R. Mishra, Vivek Kumar, H. Shukla, Neha Goyal, Chandrabhan Singh","doi":"10.1109/SMART50582.2020.9337105","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337105","url":null,"abstract":"Mobile is a rapidly growing web environment that attracts malware developers around the world. Smart phones, especially android phones are widely used and are the most popular new target for malware attacks. Most common type of malware found to attack android users was an unauthorized app repackaged as a normal app through a third party, unofficial app store. New apps found in the app store are hard to identify as malicious. Our work develops a malware detector and analyzer. This paper also links insights about malware attacks in COVID-19 on mobile devices. To meet the objectives, a model is implemented that extracts the inherent features of android application file and analyzes them for quick and accurate analysis. The model classifies the apps more accurately as benign or malicious.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754022","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":"Production of Fuel from Plastic using Electricity","authors":"Vaibhav Kumar, Jayant Sharma, Vinmay Srivastava, Shailendra Singh, Shubham Tiwari, Raju Kumar Maurya, V. Bhadoria","doi":"10.1109/SMART50582.2020.9337129","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337129","url":null,"abstract":"The amount of plastic generation all over the world over the years has increased because the application of plastic has also increased in many different sectors. Which caused the accumulation of waste plastic all over the world in landfill and water bodies such as oceans. The demand of plastic has grown exponentially over the years as it demands and application increases in various sectors. As plastic is a petroleum-based product it affects the petroleum reserves as petroleum is fossil fuel and is non renewable in nature. There are a few methods which has been used in order to decrease the accumulated plastic waste such as recycling and techniques to recover energy. But there are many problems and obstacles associated with recycling method are there is a requirement of sorting process which is a labor-intensive process and during these process water pollutions also occurs which decreases the sustainability of the method. As these methods are not very effective, methods to convert plastic waste into some kind of fuel was developed which required a lot of research and advanced innovations. As plastic was product of petroleum, the fuel produced during pyrolysis of plastic also have high calorific value like a normal petroleum fuel. Which could be used in place of the already existing fuels. Electrical heating can be applied for the purpose of heating the plastic and obtaining fuel. As we are not burning any fuel so the pyrolysis of plastic using electrical energy is a clean process. Moreover, each and every end product is used in effective manner.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626284","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 Review on SMART GRID Power System Network","authors":"Shambhavi Tripathi, P. Verma, G. Goswami","doi":"10.1109/SMART50582.2020.9337067","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337067","url":null,"abstract":"This paper briefly discusses about the new revolution in grid system i.e; ‘Smart Grid’. The evolution of smart grid development leads to energy autonomy, and sustainable economic growth. This technology will surely fulfil the dreams of Dr. A.P.J Abdul Kalam i.e; “Energy forever and energy for all”. Smart grid is a ‘system of system’ where it consists of three layers, (a) the power and energy level (b) the communication layer (c) the IT/computer layer. It provides the bidirectional flow of energy as well communication with consumers also. It also known as ‘Auto Healing System’. It brings the better energy utilisation with the great efficiency of grid system. It brings the overall integrity and security in the system with the concept of interconnected power system. It helps to estimate the real time electricity consumption with the help of smart meters, SCADA, intelligent controllers, photovoltaic materials, Nano materials, high current quantum wires etc. Here 9 research papers in the area of Smart Grid are reviewed and the validation table has been compiled.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134161423","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":"Water Quality Prediction System (WQPS) and Method using Fog of Thing (FoT)","authors":"Naveen Tewari, Mukesh Joshi","doi":"10.1109/SMART50582.2020.9337109","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337109","url":null,"abstract":"A water quality prediction system (WQPS) and method for determining water quality of a water source include one or more sensors located at said water source present at one or more geographical locations, the sensors configured to obtain parameters associated with a said water source and transmit obtained parameters to at least one computing device of a fog networking; and the at least one computing device configured to process said obtained parameters to determine the water quality of water source located at geographical locations, and transmit determined water quality on a display of a user device that triggered determination the water quality of said water source, wherein said one or more geographical locations are different physical locations associated with a water.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132997207","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":"Texture Operator based Digital Image Splicing Detection using ELTP Technique","authors":"Vikas Srivastava, S. Yadav","doi":"10.1109/SMART50582.2020.9337095","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337095","url":null,"abstract":"Social networking sites play a significant role in news viral. A lot of information is fake. Image editing tools play an essential role in the easy availability of these tools and software. So image authentication is the need of the time. In this paper, we proposed a texture-based image splicing detection, ELTP (Enhanced local ternary pattern) used for feature extraction, which gives us a better response than LBP. The local ternary pattern used ternary value (-1, 0, 1) code for assessment, advanced to LBP binary value code. ELTP is more sensitive compare to noise. In our proposed technique, first, we convert the RGB image into YCbCr, and the chrominance component used for feature extraction. In feature extraction, first, we implement a standard deviation filter to highlight the abrupt change in the image and ELTP to extract the features. SVM is used as a classifier gives better to some of the states of the art method.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121365267","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}