2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)最新文献

{"title":"Distributed secondary voltage control of islanded AC microgrids: A comparative study","authors":"A. Ganguly, S. Bhadra, P. Bhowmick, Sawan Sen","doi":"10.1109/IEMENTech53263.2021.9614852","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614852","url":null,"abstract":"This paper proposes a distributed secondary voltage control (DSVC) scheme of DG based islanded AC microgrids employing cooperative control design. The controller design has been further strengthened by introducing a bilayered adaptive control formulation. The centralized control scheme for inverter-based DGs in an islanded microgrid poses significant challenges in terms of voltage control, connectivity issues among all DGs and handling contaminated signals of the DG units under influence of unwanted signals i.e. noise and disturbances. The objective here is to design an optimal control input employing linear quadratic regulator (LQR) principle in cooperative and adaptive control formulation. An exhaustive comparative analysis driven by an exhaustive Matlab simulation has been done in order to demonstrate the effect of Algebraic Riccati Equation (ARE) parameters in the proposed cooperative and adaptive control algorithm to specify the variations in time domain specifications of the microgrid voltage response. Simulation analysis has been done to check the effectiveness of the adaptive controller over the cooperative design of the microgrid controller where DGs are subjected to variable frequency disturbance (VFD).","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005379","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":"Deoxyribonucleic Acid Based Nonce-Misuse-Resistant Authenticated Encryption Algorithm","authors":"Harichandana Akumalla, G. Hegde","doi":"10.1109/IEMENTech53263.2021.9614872","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614872","url":null,"abstract":"This paper aims to present a performance comparison of new authenticated encryption (AE) algorithm with the objective of high network security and better efficiency as compared to the defacto standard. This algorithm is based on a critical property of nonce-misuse-resistance incorporating DNA computation for securing the key, here the processing unit of DNA block converts the input key into its equivalent DNA base formats based on the ASCII code table. The need for secure exchange of keys through a public channel has become inevitable and thus, the proposed architecture will enhance the secrecy by using DNA cryptography. These implementations consider Advanced Encryption Standard in Galois Counter mode (AES-GCM) as a standard for comparison.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185979","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":"Utilization of IoT: Automated Seed Plantation based Smart Agriculture","authors":"Debarya Mukherjee, Milon Nandi, Samayita Mondal, Shovon Nandi","doi":"10.1109/IEMENTech53263.2021.9614831","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614831","url":null,"abstract":"Agriculture plays an indispensable role in developing one nation, and water is the primary resource for agriculture. So, using IoT, properly utilizing adequate water in the irrigation process is possible through our smart agri-bot (bot specifically used in smart-agriculture). The soil moisture sensor is used to get moisture data, and as per the microcontroller programming, it automatically ON/OFF the motor of a water pump. Agri-bot is controlled from anywhere as it is connected through the cloud. The bot runs for a specified time, then plants the seeds and covers the field area. The soil moisture status is identified and displayed on board. The Arduino UNO will gather and handle the information got from the sensors. When a limited moisture level of the soil is reached, the water will supply for proper seed plantation. This research is dedicated to farmers, and nursery experts as the utilization of automated smart seed planters replace the conventional techniques for the irrigation process and make a revolutionary change.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117199697","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":"Diagnostic Mask For SARS-CoV-2 Detection Using Immunochromatography and Machine Learning","authors":"S. Bishnu, Ritwika Das, Rohit Ganguly, Ritoban Biswas, Rivu Bose, Sudipta Dhar, Sutapa Ray","doi":"10.1109/IEMENTech53263.2021.9614726","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614726","url":null,"abstract":"Amidst the deadly COVID-19 pandemic situation, the increasing number of cases is a major concern especially at places where tests are not available easily, are inconvenient and results take a long time to be declared. We present a solution by which tests can be performed easily by individuals with the aid of a mask. It involves no hazard and saves time for immediate treatment of positive patients. To enhance the efficiency of the product, we have also incorporated a predictive model using machine learning which produces outcome based on real life scenarios.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126586615","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":"Capturing the temperature of the workpiece in an induction heating system using thermocouple with minimal error","authors":"M. Chatterjee, P. Y. Nabhiraj","doi":"10.1109/IEMENTech53263.2021.9614759","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614759","url":null,"abstract":"Thermocouples are very commonly used device to measure the temperature in industry and research. For measuring high temperatures, it is preferred over the other available alternatives for its simplicity and ease of use. It gives the direct voltage output over a wide range of temperature. But the main drawback of thermocouples is that it gets affected by electromagnetic field if present in the surrounding and gives erroneous result. Since the voltage generated by the thermocouple is of the order of micro volt, even a very small magnetic field can alter the reading of the thermocouple to large extend. Induction heating is a well-established technology and used in variety of applications. But due to the electromagnetic field generation associated with induction heating, the use of thermocouple for measuring temperature is difficult in this environment. An induction heating system is developed in Variable Energy Cyclotron Centre (VECC), for using in metal sample evaporation experiments where K type thermocouple is intended to be used to measure the temperature of the workpiece. Experimental studies have been carried out to compare the reading obtained from thermocouple with a standard, calibrated commercial IR sensor. Finally effective measures are put into application to capture the workpiece temperature with minimal error using thermocouple. This paper describes the development of the measurement set up, study and the corrective measures incorporated to achieve more accuracy in the temperature data taken in induction heating system using thermocouple.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133543","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 Improved Classification of Chest X-ray Images U sing Adaptive Activation Function","authors":"Tribikram Dhar, Gourab Adhikari, S. S. Chaudhuri","doi":"10.1109/IEMENTech53263.2021.9614719","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614719","url":null,"abstract":"Machine vision techniques particularly convolutional neural networks (CNNs) have attained major breakthrough in medical image analysis and classification because of their ability to learn representative features from the input in a hierarchical manner. A couple of years back performing an effective and accurate CNN based classification was a tremendous challenge due to non-availability of large and good quality chest X-ray image (CXR) database. In this paper, we have presented the experiment based on state of the art deep CNN architectures like AlexNet, Res Net and VGG16. These experiments were conducted based on two types of study, one containing dataset with chest Xray images of subjects who contracted Covid-19, viral pneumonia and no respiratory disorder(normal) mentioned as study II and the other dataset containing only Covid-19 and healthy subjects mentioned as study I. A comparison has been drawn with the proposed architecture and classification results based on standard metrics have been carried out on test dataset. The raw chest Xray (CXR) images were passed to the CNN during the training phase without any prior image processing techniques applied on them. Also, we have proposed a new CNN architecture which incorporates the use of an adaptive activation function and it classified the above mentioned studies(I and II) with an accuracy of 96.89 % and 96.75 % and proved to be better than some of the very deep and much more advanced CNN architectures in terms of number of parameters, training time and the amount of space it occupied.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122512678","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":"Agile Methodology Vs. Traditional Waterfall SDLC: A case study on Quality Assurance process in Software Industry","authors":"Abhiup Sinha, P. Das","doi":"10.1109/IEMENTech53263.2021.9614779","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614779","url":null,"abstract":"We are very familiar with the phrase ‘change is the only constant’ and same thing applicable for software industry also. In this new world of software industry’ most of the Information technology companies are following a methodology’ named Agile where the development work moves quickly. Nowadays very few companies are still following Traditional Waterfall Model as software development life cycle method. In software development life cycle one of the most important phase is quality assurance phase or testing phase. In this context we will be discussing how the software testing has been implemented and how it's going to work with agile methodology. Also, we will do a comparative analysis between Traditional Waterfall model Testing approach and Agile testing approach.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121782068","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":"Bandgap Study of Defect Induced Graphene Structures","authors":"S. Karmakar, S. Kundu, G. S. Taki","doi":"10.1109/IEMENTech53263.2021.9614768","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614768","url":null,"abstract":"Graphene is considered as one of the most significant 2-D materials. However, the zero-bandgap property of pristine graphene restricts its use as semi-conductor material. Hence, introducing defect in the graphene structure can produce an appreciable band-gap that can be utilized in semiconducting industry. In this work, band-structure and density of states (DOS) of graphene and its various defect induced structures are studied by employing density functional theory (DFT) method using the BURAI GUI of Quantum ESPRESSO.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297912","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":"Self-Driving Ambulance for Emergency Application","authors":"Mainak Das, Gautam Ghosh","doi":"10.1109/IEMENTech53263.2021.9614822","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614822","url":null,"abstract":"An ambulance is a medically equipped vehicle which is used to shift a patient to a hospital and to provide the patient essential medical treatment during transit. Most of the man-driven ambulances are lacking with advance information like traffic cogestion, location of nearby hospital, taking on line advice of a doctor for emergency medical treatment during transit. All the above problems can be avoided if the service of a self-driving ambulance, equipped with GPRS and modern medical instruments, is available. At the time of emergency, self driving ambulance, can automatically take the route where there is less traffic and can also select the shortest route for destination by tracking of GPS location. Another advantage of self driving vehicle is that it is less prone to accident because of its high accuracy driving provided by the application of Artificial intelligence technology specially Machine Learning. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes. At the time of emergency, self driving ambulance, can automatically take the route where there is less traffic and can also select the shortest route for destination by tracking of GPS location. Another advantage of self driving vehicle is that it is less prone to accident because of its high accuracy driving provided by the application of Artificial intelligence technology specially Machine Learning. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes. This paper aims to present an idea for implementation of a prototype self-driving ambulance using IOT technology with high end computer vision. The technology which is proposed for this ambulance will reduce risk of accident substantially while running faster with patient comfort during emergency using high-definition cameras for detecting obstacles and potholes.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132083","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":"Security of Medical Data Against Adversaries in Internet of Medical Things","authors":"Tigmita Biswas, Rahul Samadder, Kingshuk Gupta, Shovon Nandi","doi":"10.1109/IEMENTech53263.2021.9614715","DOIUrl":"https://doi.org/10.1109/IEMENTech53263.2021.9614715","url":null,"abstract":"The emerging technology of smart medical devices has made the interconnection of those devices and their further monitoring and diagnosing without any human intervention possible by using the Internet of Medical Things(IoMT). While these increase numerous advantages, they also escalate consequential security and privacy concerns as medical management systems accumulate and process susceptible facts. Hence many schemes are used to prevent such casualties. The context-oriented programming protects medical devices from cybercriminal attacks. The Elliptical Curve Digital Signature Algorithm(ECDSA) provides a new solution for enhanced security and privacy between IoMT devices and the cloud via network constituents. On the other hand, Identity-based encryption(IBE), Attribute-based encryption(ABE), Role-Based Access Control Systems(RBAC), and Searchable Encryption(SE) ensures strong encryption of the electronic medical records(EMRs). A review of the conceptual and experimental investigations shows the effectiveness of the schemes as mentioned above concerning enumeration and communication.","PeriodicalId":367069,"journal":{"name":"2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114275155","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}