2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)最新文献_第3页

Conductance Enhancement of C-shaped Graphene Nanoribbon Circuit Interconnect through Defect Treatment 缺陷处理增强c形石墨烯纳米带电路互连的电导性能

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051459

A. K. Sahu, Narayan Sahoo, M. Mishra, Sukant K. Tripathy, N. Sahoo, T. Sahu, N. Das

引用次数: 0

24/7 Renewable Energy Traceability web application 24/7可再生能源追溯web应用程序

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051332

O. V. Gnana Swathika, P. Thujimayuran, A. Azhar, K. Hemapala, Dhanushka Tennakoon, R. Disanayaka, J.G.R. Thathsara

{"title":"24/7 Renewable Energy Traceability web application","authors":"O. V. Gnana Swathika, P. Thujimayuran, A. Azhar, K. Hemapala, Dhanushka Tennakoon, R. Disanayaka, J.G.R. Thathsara","doi":"10.1109/iSSSC56467.2022.10051332","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051332","url":null,"abstract":"Recently, many industries in Sri Lanka are trying to achieve their carbon emission net zero targets faster because of the pressure from their clients in European countries. To achieve these targets their carbon footprint needs to be properly monitored and necessary modifications need to be applied. Actual carbon emission data is an utmost requirement in validating the progress toward Net Zero targets.The problem we have identified in Sri Lanka is the unavailability of an integrated platform that provides detailed information on power generation and carbon emissions of electricity generation from power plants. The utility website only provides the daily electricity generation information and no daily carbon emission data can be found there. Also, Industrial customers do not have an easily accessible platform to monitor their real-time electricity consumption and calculate their actual carbon footprint.Additionally, not having the opportunity of sizing and scheduling Photovoltaic (PV) and battery storage systems in order to find the optimal option to reduce their carbon emission on an hourly basis is one of the other major concerns. With this lack of information, it is hardly possible for the companies in Sri Lanka to achieve their net zero carbon targets.Considering these factors, the solutions we provided and implemented are as follows:Developed the first integrated web platform in Sri Lanka to provide information on power generation, carbon emission on a quarter-hourly basis and carbon emission forecast on an hourly basis. It will also offer demand monitoring and carbon footprint calculation for industrial customers, by incorporating Solar PV and Battery Storage scheduling. Further, the renewable energy matching solution includes rooftop solar PV, energy storage system scheduling and CO2 emission reduction with the financial feasibility study.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126256300","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

Docker Security: Threat Model and Best Practices to Secure a Docker Container Docker安全:保护Docker容器的威胁模型和最佳实践

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051481

M. Patra, Anisha Kumari, B. Sahoo, A. K. Turuk

{"title":"Docker Security: Threat Model and Best Practices to Secure a Docker Container","authors":"M. Patra, Anisha Kumari, B. Sahoo, A. K. Turuk","doi":"10.1109/iSSSC56467.2022.10051481","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051481","url":null,"abstract":"In recent years, virtualization technologies have seen dramatic growth in their levels of adoption. Because of this, the need for virtualization solutions that are both efficient and secure is becoming increasingly apparent. Virtualization technologies have emerged in the market in various forms, the most prominent of which are container and hypervisor-based virtualization. The demand for smaller development cycles, easier configuration management, continuous deployment and delivery, and cost reductions in cloud infrastructures led to the birth of containers. Containers are more versatile than VMs and give a better overall performance. Container-based virtualization has the potential to deliver a virtual environment that is lighter and more efficient, but it does not come without security problems. Docker is now the market leader among all container solutions. Docker is a platform that provides comprehensive packaging and software delivery. In this research, we analyze the security level of Docker, a well-known representative of container-based approaches. This research will also present Docker secure deployment guidelines. These guidelines will suggest different configurations to deploy Docker containers in a more secure way.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121489271","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

Application of Adaptive filters in Dynamic Voltage Restorer for Power System Harmonics Estimation 自适应滤波器在电力系统谐波估计动态电压恢复器中的应用

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051299

B. Panda, Manasi Padhy, S. Das, Subhrajeet Rout

引用次数: 0

Performance Analysis of UPQC using Mittag Leffler Polynomial based Neural Network Control 基于Mittag - Leffler多项式的神经网络控制UPQC性能分析

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051471

K. B. Rai, Narendra Kumar, Alka Singh

{"title":"Performance Analysis of UPQC using Mittag Leffler Polynomial based Neural Network Control","authors":"K. B. Rai, Narendra Kumar, Alka Singh","doi":"10.1109/iSSSC56467.2022.10051471","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051471","url":null,"abstract":"This paper investigates the performance of Unified Power Quality Conditioner (UPQC), which comprises of shunt and series voltage source converter (VSC) under voltage Sag, voltage swell, and load unbalancing. UPQC is integrated with 25 kW power rated Photo Voltaic (PV) source. A hybrid control technique is executed for UPQC. The Mittag Leffler Polynomial based Neural Network (MiLeP) control is executed for the generation of switching signals to shunt VSC and ‘d-q' with MiLeP filter control for the generation of gating signals to series VSC. The shunt compensator is developed to mitigate current related Power Quality (PQ) issues, and the series compensator is developed to alleviate voltage related PQ issues. The THD of the source current is below 5% which is under the IEEE-1547 norms. The load voltage is maintained at pre-sag and pre-swell conditions under both Voltage Sag and Voltage swell. In MATLAB Simulink, the simulation is executed and the results are examined with the proposed control algorithm. The results show improved performance of PV- UPQC under both steady-state and dynamic operation.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122678178","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

Real-Time Simulation of Frequency Control of 2.2 kW SEIG using Generalized Impedance Controller 基于广义阻抗控制器的2.2 kW SEIG频率控制实时仿真

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051306

Laishram Khumanleima Chanu, Rajen Pudur

引用次数: 0

Optimal Allocation of DGs in Radial Distribution Network for Power Loss Minimization based on LSF and GJO Algorithm 基于LSF和GJO算法的径向配电网dg优化分配

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051616

R. Manjhi, D. Lal, S. Biswal

引用次数: 0

An Empirical Analysis of Digital Image Color Quantization using Partition Based Clustering Techniques 基于分割聚类技术的数字图像颜色量化实证分析

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051562

zJayanti Rout, Swatisipra Das, Minati Mishra

{"title":"An Empirical Analysis of Digital Image Color Quantization using Partition Based Clustering Techniques","authors":"zJayanti Rout, Swatisipra Das, Minati Mishra","doi":"10.1109/iSSSC56467.2022.10051562","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051562","url":null,"abstract":"In today’s technical world, dependency on digital devices as well as the generation of digital data has increased by many times. Out of the total data produced through various digital devices, image data occupies a large section. Devices can create images in different formats such as monochrome, gray-scale, and color. Color images again can have different color models out of which the red green blue (RGB) model is one of the most widely used models. The total number of colors that can be present in an RGB color image can be as high as 224 = 16777216. All devices may not be able to efficiently process these high numbers of colors and most importantly, all these colors may not be of much significance from the perspective of human vision or various types of applications. In this paper, we have used partition-based clustering algorithms such as K-Means++, K-Medoids, Fuzzy-C Means, and Self-Organizing Maps to reduce the number of colors in RGB images from 16777216 to as small as 512 (i.e from 224 to 29) colors. According to the experimental results, K-Means++ clustering gives better performance in comparison to the other three clustering methods for color quantization.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724715","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

An Efficient Deep Learning Based Vehicle Classification System for Indian Vehicle 基于深度学习的印度车辆分类系统

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051313

Sarthak Kapaliya, Debabrata Swain, Hargeet Kaur, S. Satapathy

{"title":"An Efficient Deep Learning Based Vehicle Classification System for Indian Vehicle","authors":"Sarthak Kapaliya, Debabrata Swain, Hargeet Kaur, S. Satapathy","doi":"10.1109/iSSSC56467.2022.10051313","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051313","url":null,"abstract":"Image classification is heavily used in many technologies. Applications like Face identification, Video surveillance are some practices of image classification. Vehicle Classification is one of the critical domains of Image Classification. This research aims to find efficient methods for Vehicle classification that help solve real-world problems like security, surveillance, and traffic jams. The dataset was used from Kaggle Website for training the models. We have augmented the data to achieve better accuracy of models. In this research, we have focused on Deep Neural Networks which provide more accuracy. We will be using a Simple 4-layer Convolutional Neural Network and Pre-built Models like AlexNet, VGGNet, and DenseNet. After processing our augmented data, we fed it to the CNN model and compared the different models’ results. It was found that DenseNet is having highest accuracy (87%) on the vehicle dataset. Furthermore, this method can be useful for any type of image classification task. Training the model for different weather conditions such as winter, monsoon, etc. is possible. The models can be helpful in many sectors for example in Tumor detection in MRI reports in healthcare or for identifying different cracks and damages of building in the civil sector.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769197","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

A New Time-of-Use Tariff Rate for Domestic Consumers in Sri Lanka to Promote Demand Response 斯里兰卡为国内消费者推出新的分时电价，以促进需求反应

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051189

O. V. Gnana Swathika, J. Jeewandara, R. Disanayaka, K. Hemapala, W. Wijayapala, I. Balahewa

{"title":"A New Time-of-Use Tariff Rate for Domestic Consumers in Sri Lanka to Promote Demand Response","authors":"O. V. Gnana Swathika, J. Jeewandara, R. Disanayaka, K. Hemapala, W. Wijayapala, I. Balahewa","doi":"10.1109/iSSSC56467.2022.10051189","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051189","url":null,"abstract":"It is seen that governments are compelled to invest in Renewable Energy (RE) based power generation to meet the ever-increasing demand for electricity since fossil fuel-based power generation is a major contributor to greenhouse gas emissions and is dependent on the limited availability of non-renewable energy resources such as coal, natural gas and oil which are depleting at a fast rate. Despite the several benefits offered by the use of RE sources like solar and wind, the dependability and stability of power systems are threatened by their stochastic nature. Demand Response (DR) is an alternate strategy to address concerns such as difficulties faced in renewable energy integration, heavy reliance on fossil fuels and high initial investments. It is a component of Demand Side Management (DSM) that transforms consumers’ formerly passive position into one of active participation by altering energy consumption patterns to lower the peak demand. In this paper, new Time of Use (TOU) tariff rates are proposed for domestic consumers in Sri Lanka as a DR program. The required policy changes, challenges, and recommendations along with the potential financial benefits for the participants as well as the utilities are also discussed in order to implement the new tariff schemes in the existing power grid of Sri Lanka.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115901302","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