2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)最新文献_第6页

Vision-based Static Hand Gesture Recognition using Dense-block Features and SVM classifier 基于视觉的基于密集块特征和SVM分类器的静态手势识别

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051475

J. Sahoo, S. Ari, S. K. Patra

{"title":"Vision-based Static Hand Gesture Recognition using Dense-block Features and SVM classifier","authors":"J. Sahoo, S. Ari, S. K. Patra","doi":"10.1109/iSSSC56467.2022.10051475","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051475","url":null,"abstract":"Recognition of static hand gesture images using a vision-based technique remains a challenging task due to the variations in illumination, shape of the user’s hand, complex backgrounds, and so on. Further, the current convolutional neural network (CNN) technique requires large gesture images to train a model from scratch. Therefore, in this work novel features are obtained from the dense blocks of the fine-tuned DenseNet 201 to recognize the hand gesture images accurately. The proposed feature (denoted as DenseFeat) is a combination of features from last two dense blocks of the fine-tuned DenseNet which gathers enriched information for a gesture image. In addition, to remove the redundant information in the feature vector, the dimension of the DenseFeat is reduced using the principal component analysis (PCA) approach. A support vector machine (SVM) classifier based on a linear kernel is used to recognize the test gesture images. The efficacy of the proposed method is evaluated on two benchmark datasets using both subject-independent and subject-dependent cross-validation techniques. Furthermore, the qualitative and compressive quantitative analysis of the benchmark datasets illustrates that the proposed method outperforms state-of-the-art techniques in terms of mean accuracy and computational time.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"9 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":"134311884","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

A Review On Recent Advancements In Signal Processing and Sensing Technologies for AUVs 水下机器人信号处理与传感技术进展综述

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051366

Rajat Kumar Muduli, Ronak Mohanty, S. Patnaik, A. Sahoo, S. Kumar Pradhan, R. Behera

{"title":"A Review On Recent Advancements In Signal Processing and Sensing Technologies for AUVs","authors":"Rajat Kumar Muduli, Ronak Mohanty, S. Patnaik, A. Sahoo, S. Kumar Pradhan, R. Behera","doi":"10.1109/iSSSC56467.2022.10051366","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051366","url":null,"abstract":"In the last few decades, oceanic exploration, especially deep-sea exploration, has gained the attention of many explorers, business tycoons, and environmentalists.71% of the Earth is covered by the ocean, but the human race is heading towards space exploration, disregarding the abundant resources present in the ocean. Indeed, cutting-edge sensing technologies cannot meet all underwater observational requirements due to the exceedingly novel and complex undersea environment. Computer vision and navigation are essential technologies for autonomous underwater operations. For a feasible outcome of computer vision, we need optimum image processing meet the Insufficient light and low-quality picture augmentation required in an underwater environment as a prerequisite underwater vision. However, if the vision and navigation are apparent and subtle, it can result in many applications. Therefore, this review paper mainly focuses on the latest existing technologies that can applied for advanced underwater imaging, videography, mapping, and their integration for 3D image reconstruction, detection, and tracking by taking the influence of a variety of underwater parameters turbidity, alkalinity, density, refractive index, salinity, temperature, particulates, lighting, scattering effect, etc.) into account. AUVs are the most necessary and sufficient systems for underwater exploration and research.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"72 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":"132282854","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

A Device Fingerprinting Technique to Authenticate End-user Devices in Wireless Networks 无线网络中终端用户设备身份验证的设备指纹技术

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051406

A. K. Dalai, B. Sahoo

引用次数: 0

Impact Analysis of PV Penetration on Voltage Dynamics of Radial Distribution System using Backward Forward Sweep Load Flow Algorithm 用正向后向扫描潮流算法分析光伏侵彻对径向配电网电压动态的影响

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051280

Nivedita Padole, R. Moharil

引用次数: 1

LSF and Golden Jackal Optimization Algorithm based Optimal Placement and Sizing of Capacitors in Distribution System 基于LSF和Golden Jackal优化算法的配电系统电容器最优布局和尺寸

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051298

R. Manjhi, D. Lal, S. Biswal

{"title":"LSF and Golden Jackal Optimization Algorithm based Optimal Placement and Sizing of Capacitors in Distribution System","authors":"R. Manjhi, D. Lal, S. Biswal","doi":"10.1109/iSSSC56467.2022.10051298","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051298","url":null,"abstract":"For changes in economic viability, distribution automation requires the most effective operating scenario, i.e., to lower capital expenditure, lower system power losses, improve power factor, improve feeder voltage profile, and increase feeder capacity. Shunt capacitor banks are put on distribution primary feeders in order to do this. Therefore, it's crucial to locate the capacitors' ideal positions and sizes (kVAr) in the radial distribution networks (RDN). Sensitivity analysis is done to determine the Loss Sensitivity Factors (LSFs) in order to evaluate the most suitable places for reactive power compensation. The candidate buses with the greatest impact on the RDN active power losses relative to the bus reactive power are identified by the sensitivity analysis. The Golden Jackal Optimization (GJO) technique and LSF are used to present the best capacitor sizing and allocation solution in RDN in this research. The search space for an optimization algorithm is condensed using LSF. The best capacitor size and position are then determined using the optimization technique from the list of viable candidate buses. The suggested methodology is applied to several test systems, such as a 15 bus, a 33 bus and a 69 bus RDNs. The outcomes are compared with those of other methods found in the literature.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"36 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":"116797508","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

Two Stage Three-Phase Grid-Connected Hybrid Photovoltaic-Wind System 两阶段三相并网混合光伏-风能系统

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051371

M. Senapati, Sushmita Paira, Sanjeeb Dehury, S. Nayak

引用次数: 0

Enhancing the Performance of Power Compensating Device (UPQC) with Sinusoidal Current Control Strategy 用正弦电流控制策略提高功率补偿装置(UPQC)的性能

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051474

Dipanjali Padhi, P. K. Panigrahi, Rudra Narayan Senapati

引用次数: 0

A comparison of DC-DC converters for power point tracking in Photovoltaic Applications 光伏应用中用于电源点跟踪的DC-DC变换器的比较

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051489

Barnam Jyoti Saharia, N. Sarmah

{"title":"A comparison of DC-DC converters for power point tracking in Photovoltaic Applications","authors":"Barnam Jyoti Saharia, N. Sarmah","doi":"10.1109/iSSSC56467.2022.10051489","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051489","url":null,"abstract":"Photovoltaic (PV) power is one of the major renewable energy sources experiencing rapid expansion. Its development can be attributed, in part owing to the exhaustion of fossil fuels and the pollution in the environment that is changing the climate, as well as to the development of new manufacturing technologies that are associated with PV systems. The limitations of operating PV however still include a low power output capacity and high associated costs, which has led to the investigation of effective ways to develop a PV converter and its controller that can fulfil the greatest power extraction criterion, thereby accomplishing both objectives of being cost and energy competent for PV systems. The application of the DC-DC Power Processing Units (PPUs) design is what causes this procedure to take place. In general, power supply units (PPUs) were divided into two categories: isolated and non-isolated DC-DC converters. Each configuration includes a bk, boost, and buck-boost converters that use a variety of different circuit configurations. These various topologies for power converters are subjected to a comprehensive analysis and comparison regarding their efficiencies, levels of reliability, and degrees of complexity. The buck-boost converter of the non-isolated configuration is the optimum option for the PPUs architecture when constructing an efficient system to function effectively while harnessing the PV peak power under all climatic circumstances.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"6 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":"124443062","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

Intelligent Characterization of Wireless Fading Channels using a Single Statistical q-Weibull distribution 基于单统计q-威布尔分布的无线衰落信道智能表征

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051241

Sarbeswar Samal, Tanmay Mukherjee, Sujit Bebortta, S. Chakravarty

{"title":"Intelligent Characterization of Wireless Fading Channels using a Single Statistical q-Weibull distribution","authors":"Sarbeswar Samal, Tanmay Mukherjee, Sujit Bebortta, S. Chakravarty","doi":"10.1109/iSSSC56467.2022.10051241","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051241","url":null,"abstract":"In real-world environment, multipath fading and shadowing have simultaneous effects that are superimposed over the received signal in wireless communication channels. The typical composite models fail to account for the tail fluctuations in the fading channels. In this context, we emphasise the significance and adaptability of the non-extensive parameter q in relation to Tsallis’ entropy when modelling various fading channels. The composite fading channels in this study were described using the q-Weibull distribution. In contrast to the common composite Weibull/Log-normal model, the generated fading signals and the q-Weibull probability density function show excellent agreement. Additionally, a number of performance indicators, including outage probability, channel capacity, and amount of fading, are determined analytically, and the results are validated using Monte-Carlo simulations. Further, considering the complexity of the fading data, machine learning models can provide low complexity solutions towards enhancing the performance of the aforementioned model.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"91 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":"122557488","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

Fuzzy-Pida Optimized with COR Technique in Thermal Interconnected AGC System 基于COR技术的热互联AGC系统模糊优化

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051379

Sunita Patel, B. Mohanty, K. Simhadri

引用次数: 0