2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献_第7页

Voltage stabilization of SEIG based Isolated Microgrid using Electric Spring 基于SEIG的电弹簧隔离微电网稳压研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641254

Soumyaranjan Mohanty, Abhijeet Choudhury, S. Pati, S. Kar

引用次数: 5

MAC Layer Protocol Selection Mechanism for the Energy Efficient Cross Layer Protocol Design of Wireless Sensor Network 无线传感器网络节能跨层协议设计的MAC层协议选择机制

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641450

S. Arockiaraj, H. Hebbar, K. Makkithaya

{"title":"MAC Layer Protocol Selection Mechanism for the Energy Efficient Cross Layer Protocol Design of Wireless Sensor Network","authors":"S. Arockiaraj, H. Hebbar, K. Makkithaya","doi":"10.1109/APSIT52773.2021.9641450","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641450","url":null,"abstract":"Wireless Sensor Networks (WSNs) are the interconnected, large quantity of tiny wireless sensor nodes, deployed for specific monitoring and control purposes. It is hard and expensive to change or recharge the nodes, after deployment in harsh environments. Therefore, it is necessary for the efficient utilization of the energy of the available power in the tiny-sized battery of the sensors to extend the lifespan of the WSNs. To increase the lifespan, there are many protocols proposed in the literature that combines the Media Access Control (MAC) layer to the Network Layer (NL) for the cross layer design (CLD). The transceiver operations at the MAC layer cause most energy consumption, therefore, identifying a suitable MAC protocol for the cross layer scheme is more significant. In this connection, this paper proposes a mechanism to identify a suitable MAC protocol to be used with the NL protocol for the CLD. The simulations were conducted to compare the performance of the B-MAC, X-MAC, L-MAC, and IEEE 802.15.4 MAC protocols using the OMNET++ tool. The performance of the protocols is evaluated in terms of energy consumption (EC), end-to-end delay (EED), and packets delivery count (PDC). The observation of the results shows that the IEEE 802.15.4 Carrier Sense Multiple Access/ Collision Avoidance (CSMA/ CA) based transmission scheme is more efficient in terms of energy, delay, and PDC. This protocol consumes at least 2.1 times less energy than other MAC protocols and improves the PDC by at least 1.97 times more than other MAC protocols and reduces the end-to-end delay by at least 35.5ms when compared to other MAC protocols.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133777657","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: 2

Speech Emotion Recognition using K-means Apriori Feature Selection Algorithm 基于K-means Apriori特征选择算法的语音情感识别

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641360

Biswajeet Sahu, H. Palo, Shubham Shrotriya

{"title":"Speech Emotion Recognition using K-means Apriori Feature Selection Algorithm","authors":"Biswajeet Sahu, H. Palo, Shubham Shrotriya","doi":"10.1109/APSIT52773.2021.9641360","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641360","url":null,"abstract":"The novelty of this paper lies in the extraction of an effective feature vector in classifying speech emotions. Observation shows the spectral features extracted over the entire range of frequencies remain noise-sensitive with a distorted power spectrum. Thus, the focus is to extract the high frequency, low noisy spectral, and voice quality components for a possible improvement in classification accuracy. The extracted low noisy feature vectors are high-dimensional, containing redundant data. To alleviate the issue, this work further investigates the K-means apriori feature selection (KAFS) algorithm to derive a novel reduced feature vector for a better result. While the K-means algorithm has clustered the raw feature vectors, the apriori algorithm fetches only the relevant features with the desired outcome. The efficient Decision Tree (DT) and the Random Forest (RF) classifiers have been simulated to validate the derived feature vectors for their efficacy. The KAFS-based optimized feature sets are more reliable with an average accuracy of 64.89% with RF and 53.17% with DT. On the contrary, the corresponding accuracy, using the traditional baseline feature vector has been 64.21% with RF and 52.57% with DT.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134054740","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

Power Quality Improvement in Photovoltaic Microgrid System Using FOPID Controller-Based DVR 基于FOPID控制器的DVR改善光伏微网系统电能质量

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641136

R. Pradhan, Minu Kumari

引用次数: 1

DCTSPA: A Proposed Model for Controlling Parking Spots DCTSPA:一个建议的停车位控制模型

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641154

Sashikanta Prusty, S. Patnaik, S. Dash

{"title":"DCTSPA: A Proposed Model for Controlling Parking Spots","authors":"Sashikanta Prusty, S. Patnaik, S. Dash","doi":"10.1109/APSIT52773.2021.9641154","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641154","url":null,"abstract":"Urban cities in India are becoming smartness when it has properly synchronized with parking lots. In recent years urban cities in India are facing a lot of challenges during the availability of parking areas for their citizens as it has not well organized like assign parking lot at people immediately when it is free, squeeze the parking space according to size of vehicles and many more. In this paper this proposed a model called DCTSPA (Data;Collect;Transmit;Storage;Process;Application) that would be undertaken for the city planner, government and citizen for providing smart parking system in urban cities. This model describes about how data are collected, transmitted, storage, processing and providing good services to their citizen in terms of quality and availability. While providing smart parking system, first of all adding Internet-Of- Things (IoT)-enabled sensors in parking areas that collect the data for processing with help of deep learning algorithms and assigns parking areas as per people's requirement. Smart IoT devices with Deep learning technology delivers powerful performances in smart cities like as able to recognize hazards from many single pictures to give better accuracy. This proposed work mainly focus on two latest technology called as i) Picterra, an Artificial Intelligence (AI) based software designed in such a way that can identify, map objects through satellite and also able to get actionable insights faster and the ii) second one is the CivicSmart, that has smart parking meters programmed with deep learning algorithm which might fix in the residents, malls and any other parking spots to reduce the vehicle waiting time, traffics and many more in Smart City framework.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123450772","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

Slime Mould Algorithm Based Fractional Order Cascaded Controller for Frequency Control of 2-Area AC Microgrid 基于黏菌算法的分数阶级联控制器二区交流微电网频率控制

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641192

S. Das, Sushil Kumar Bhoi, P. C. Nayak, R. Prusty

{"title":"Slime Mould Algorithm Based Fractional Order Cascaded Controller for Frequency Control of 2-Area AC Microgrid","authors":"S. Das, Sushil Kumar Bhoi, P. C. Nayak, R. Prusty","doi":"10.1109/APSIT52773.2021.9641192","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641192","url":null,"abstract":"This study proposes a Slime Mould Algorithm (SMA) based Fractional Order (FO) cascaded controller (FOPI-FOPD) for frequency control of a two-area AC microgrid (MG) system. The multi-area MG system comprising of a diesel engine generator (DEG), wind turbine generator (WTG), photovoltaic cell (PV), microturbine (MT), along with electric vehicles (EV) and energy storage system like ultra-capacitor (UC). SMA is a novel bio-based optimization tool, which can be used to solve an eclectic real-world problem. This paper aims to incorporate the SMA optimization strategy to solve the Load Frequency Control (LFC) in a microgrid arising due to the ambiguous nature of solar, wind and random load variation. The supremacy of SMA has been vindicated by its comparison over two other intelligent tuning approaches like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Moreover, the effectiveness of SMA optimized FOPI-FOPD is validated through a comparative study with some classical controllers. Lastly, it is inferred from numerous simulated outcomes that recommended SMA based FOPI-FOPD controller is better concerning LFC of the MG system.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124917144","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: 2

Performance Stability Study of a Hybrid Power System Under Levy Flight CSA Based Fuzzy Controller 基于Levy飞行CSA模糊控制器的混合动力系统性能稳定性研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641125

Srikanta Mohapatra, P. Sahu, Krushna Keshab Baral, Sushil Kumar Bhoi, R. Prusty

{"title":"Performance Stability Study of a Hybrid Power System Under Levy Flight CSA Based Fuzzy Controller","authors":"Srikanta Mohapatra, P. Sahu, Krushna Keshab Baral, Sushil Kumar Bhoi, R. Prusty","doi":"10.1109/APSIT52773.2021.9641125","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641125","url":null,"abstract":"This research paper addresses a robust fuzzy PID controller for stabilizing frequency of a hybrid power system under various functional conditions. The proposed fuzzy PID controller is structured by employing a new levy flight based cuckoo search algorithm (L-CSA). Since hybrid system is structured with integration of conventional thermal and hydro power plant along with different different renewable energy sources like fuel cell, wind generator, solar photo voltaic (PV) cells etc. It has been verified that most of renewable energy based power sources possess large dynamics and low inertia. The unpredictable large dynamics of wind generator and PV cell creates instability issues in the hybrid power system. On other hand these inertia less generating units are unable to capture sudden load change hence a serious frequency instability occurs in the hybrid system. In order to pertain stability over system frequency and tie-line power a high control action is required under various disturbances. So this article has proposed a novel L-CSA designed fuzzy PID controller for frequency control of the hybrid power system under different uncertainties.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124661608","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: 2

Modelling of Machine Learning Controller Based Reduced Switch Multi Level Inverter 基于机器学习控制器的简化开关多电平逆变器建模

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641107

Debswarun Rath, Aksaya Kumar Patra, Sanieeb Kumar Kar, B. Rout

引用次数: 1

Performance Evaluation of Photovoltaic Based Distributed Generation against Neural Network based Feedback Control 基于神经网络反馈控制的光伏分布式发电性能评价

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641324

Anshuman Satpathy, M. Adam, Snehamoy Dhar, Tanmoy Parida, N. Nayak, N. Hannoon

{"title":"Performance Evaluation of Photovoltaic Based Distributed Generation against Neural Network based Feedback Control","authors":"Anshuman Satpathy, M. Adam, Snehamoy Dhar, Tanmoy Parida, N. Nayak, N. Hannoon","doi":"10.1109/APSIT52773.2021.9641324","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641324","url":null,"abstract":"The Independent Distributed Generator Controller (IDGC) design is emphasized here for Photovoltaic (PV) based applications. The PV based Distributed Generator (DG) are required to have Maximum Power Point Tracking (MPPT) control with provision of closed-loop feedback path, especially for grid interactive operations. The Neural Network based MPPT control algorithms are quite accurate to estimate converter's input Control References (CRs: voltage/ power at MPP). The Feedback controls are well-established with linear Proportional-Integral (PI) scheme or non-linear, complex techniques. This conventional two-step converter controller/ IDGC approach is improved in this paper, with direct estimation of converter output CRs (e.g. duty cycles, PWM index). A fast learning (Moore-Penrose pseudo-inverse) based Extreme Learning Machine (ELM) is considered with new, online-sequential, ridge re method towards robust estimation of CRs. The accurate CRs for considered PV-DG is evidenced towards improved stability, under PV side as well as grid uncertainties. The validation of proposed IDGC operation is performed in MATLAB environment.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"81 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125889067","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

Grid Independent Operation of 200 hp DC Drive Using Solar-Wind-Battery Hybrid Power Source 利用太阳能-风能-电池混合电源的200马力直流驱动的电网独立运行

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641443

Debswarup Rath, S. Kar, A. Patra, S. Mohapatra

引用次数: 0