2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)最新文献_第5页

A Comparative Electro-Mechanical Characterization of Tin-Lead Solder with Equal Proportion 等比例锡铅焊料的机电特性比较

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223101

F. Fazlullah, Md. Salim Kaiser, S. R. Ahmed

引用次数: 0

An Intelligence System Model to Study the Impact of Protruding length on Temperature Sensors for Cryogenic Propulsion 研究低温推进中突出长度对温度传感器影响的智能系统模型

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223084

E. Ezhilrajan, S. Rajapandian, L. Louis Sam Titus

{"title":"An Intelligence System Model to Study the Impact of Protruding length on Temperature Sensors for Cryogenic Propulsion","authors":"E. Ezhilrajan, S. Rajapandian, L. Louis Sam Titus","doi":"10.1109/ICCECE48148.2020.9223084","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223084","url":null,"abstract":"Cryogenic Propulsion System of the Rocket Engine has in built control systems which control the critical propulsion parameters such as mixture ratio, thrust. Mixture Ratio Control System (MRC) ensure proper & steady mixture ratio during the engine operations. In general, fruitful sensor data improves the mission safety. LOX Main Pump Delivery Temperature (TOPD) is one of the critical feedback parameter for closed loop MRC. The sensor is mounted in the fluid line, with well-defined protruding length for the valid temperature. Otherwise, engine would work in undesired mixture ratio which may lead to a catastrophe failure or may require additional LOX loading which reduces the satellite pay load. Conventional MRC should take care of these kinds of scenarios, but sometime it becomes insufficient to capture the failure / degradation of the sensors because of the lack of information. Therefore, to provide reliable temperature data for the control system, an intelligence model has been developed using Neuro-Fuzzy Intelligence techniques with engine hot test data as inputs. This model validates the temperature data by taking propulsion parameters and corrects the data in case of data lapse due to the improper immersion length or otherwise. This paper presents the details of intelligence model, validation of the model, outcome and inferences.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115974657","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 BigData Analytics Framework on the Impact of Non Communicable Diseases in Kolkata 加尔各答非传染性疾病影响的大数据分析框架

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223099

Supratim Bhattacharya, Jayanta Poray, Priyanka Debnath

{"title":"A BigData Analytics Framework on the Impact of Non Communicable Diseases in Kolkata","authors":"Supratim Bhattacharya, Jayanta Poray, Priyanka Debnath","doi":"10.1109/ICCECE48148.2020.9223099","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223099","url":null,"abstract":"Considering the gradual progress of urbanization, urban health has now become as one of the most challenging task for the current decade in India. An exhaustive and harmonize effect has been initiated at the national level in order to standardize the service and initiate the challenge to put every health services across the country under a single umbrella. In the last decade, various socio-demographic factors forced to make a transitional shift towards non-communicable diseases which has significantly increases the number of health loss. City like Kolkata also faced the same challenges. Large archieve of unstructured health data furnish vital statistical measure on public health and valuable insight into different determinants of communicable & non-communicable diseases. The integration of various data sources along with analytical algorithm is used to assess risk factors and localized vulnerability to assist in developing effective prevention and control strategies for different diseases and to optimize allocation of limited public health resources. We propose an analytical framework based on multiple correlation, Gini Index and multiple Regression technique for analysing different causes related to NCD burden in Kolkata.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127403914","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

Double Side Optimal Bidding Strategy In Deregulated Electricity Market Using Krill Herd Algorithm 基于磷虾群算法的解除管制电力市场双向最优竞价策略

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223115

L. Uday Kiran, S. Sivanagaraju, Chandram Karri

{"title":"Double Side Optimal Bidding Strategy In Deregulated Electricity Market Using Krill Herd Algorithm","authors":"L. Uday Kiran, S. Sivanagaraju, Chandram Karri","doi":"10.1109/ICCECE48148.2020.9223115","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223115","url":null,"abstract":"In this article, double side optimal bidding strategy (DSOBS) for electricity market in deregulation has been solved using Krill herd (KH) algorithm. Bidding coefficients and market clearing price (MCP) are the prime factors to decide the profit of the consumers and suppliers. In the deregulation, the generating companies and distribution companies submit their bids for maximizing the profit. Initially, The KH algorithm is applied to find the bidding coefficients at the maximum value of probability destiny function (pdf), and then the same algorithm is used for evaluating the optimal bidding parameters to maximise the profit of consumers and suppliers. In the process of determining the optimal bidding coefficients, the above two steps are interdependent. Code of the KH algorithm is developed and executed on IEEE 30 bus system in MATLAB (2019 version). Simulation results such as output powers, bidding coefficients are presented. Outcome results of the suggested method are compared with the conventional, heuristic and hybrid methods. It has been found that the suggested algorithm provides the best profits within considerable computational time. Also the proposed method can be suggested for the real time operation of electricity markets.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198401","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

Optimal Reactive Power Dispatch based on Modified JAYA Algorithm 基于改进JAYA算法的最优无功调度

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223111

T. Das, R. Roy, K. Mandal

引用次数: 3

Mitigation of Voltage And Current Harmonics In Double-Stage Grid-Connected PV Plant 双级并网光伏电站电压电流谐波的缓解

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223024

Rayappa David Amar Raj, S. Bhattacharjee

{"title":"Mitigation of Voltage And Current Harmonics In Double-Stage Grid-Connected PV Plant","authors":"Rayappa David Amar Raj, S. Bhattacharjee","doi":"10.1109/ICCECE48148.2020.9223024","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223024","url":null,"abstract":"Due to the escalating demand for electricity in recent years, there is a desperate need for renewable energy resources that can supply a large amount of power at less cost. The Grid-connected solar PV (GCSPV) system is known for its simplicity, less maintenance and operating expenses. Boost converter employed changes the fluctuating output to a steady output. Voltage source inverter (VSI) is used to change boosted DC voltage to AC voltage. A PWM technique is adopted to regulate VSI by proper switching. Because of the presence of these power electric devices and non-linear connected loads, the generation of harmonics in the system are inevitable. These harmonics severely affect the operation of the PV system and power quality in the system. So an efficient passive LCL filter is needed to filter out the harmonics for better efficiency and power quality. The LCL filter designed in this paper decreases THD content in the grid output voltage and current to less than 1.17%. This filtered ac voltage is synchronized to the electric grid by a PLL system. The complete model a 100 kW double-stage three-phase grid-connected solar PV plant has been formulated in MATLAB, and a thorough investigation has been conducted on converter and inverter output parameters, electric grid voltage, current and power and THD percentage in inverter and grid output parameters.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133275836","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

Detection of Focal EEG Signals Employing Weighted Visibility Graph 基于加权可见性图的病灶脑电信号检测

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223096

Sudip Modak, Sayanjit Singha Roy, Kaniska Samanta, S. Chatterjee, Sayantan Dey, Ronjoy Bhowmik, R. Bose

{"title":"Detection of Focal EEG Signals Employing Weighted Visibility Graph","authors":"Sudip Modak, Sayanjit Singha Roy, Kaniska Samanta, S. Chatterjee, Sayantan Dey, Ronjoy Bhowmik, R. Bose","doi":"10.1109/ICCECE48148.2020.9223096","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223096","url":null,"abstract":"Focal epilepsy is a neurological disease, stem from a specific region of human brain, which is known as epileptogenic focus. Diagnosis of focal seizures is usually done using EEG analysis. In this paper, a novel technique to discriminate EEG signals into focal and nonfocal categories is proposed employing weighted visibility graph theory. Visibility graph provides a topological representation of any signal while preserving its temporal characteristics. In this present contribution, the EEG signals of focal and nonfocal categories are transformed into complex networks employing weighted visibility algorithm. From the transformed signals, several feature parameters were extracted and their statistical significance was examined using one-way analysis of variance test. Finally, the features were served as inputs to a support vector machines classifier for the purpose of classification. Two important parameters of weighted visibility graph i.e. penetrability and scale factor have been varied to investigate their effect on the performance of SVM classifier. It has been observed that both of these two previously mentioned parameters directly influence the classifier performance. In the present work, highest classification accuracy of 92.5% has been obtained in discriminating focal and nonfocal EEG signals. The proposed method can be potentially implemented for real-time detection of focal EEG signals.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758179","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: 3

System biology approach to identify critical host genes for dengue infection 识别登革热感染关键宿主基因的系统生物学方法

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223020

R. Barman, Sagnik Sen, A. Mukhopadhyay, U. Maulik, Santasabuj Das

{"title":"System biology approach to identify critical host genes for dengue infection","authors":"R. Barman, Sagnik Sen, A. Mukhopadhyay, U. Maulik, Santasabuj Das","doi":"10.1109/ICCECE48148.2020.9223020","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223020","url":null,"abstract":"Dengue is currently the leading mosquito-borne viral disease of the world. Around 40% of the world’s population is at risk of dengue infection. This is caused by one of the four serotypes of dengue virus (DENV -1 to -4), which spreads between the humans by Aedes mosquitoes. Severe dengue is a life-threatening disease. Identification of critical human genes related to dengue infection leads to better understanding of the disease mechanisms, improved diagnostics and development of an effective treatment. Here, we introduced a novel systems biology approach to find crucial human genes for dengue infection. We have integrated a large volume of biological information on human genes throughout our analysis steps. We found three critical genes that presumably regulate the outcome of dengue infection from a pool of 244 human genes. Pathway enrichment analysis of these 3 genes also indicates infectious disease specific pathways. The proposed method may be useful for other viral diseases. Finally, the identification of crucial host genes for the virus can help the development of host-dependent antiviral drugs.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601673","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 Three Stream Deep Network on Extracted Projected Planes for Human Action Recognition 基于提取投影平面的三流深度网络人体动作识别

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223095

S. Sahoo, S. Ari

引用次数: 1

Development of a smart glove for affordable diagnosis of stroke-driven upper extremity paresis 一种智能手套的开发，用于负担得起的中风驱动的上肢轻瘫诊断

2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2020-01-01 DOI: 10.1109/ICCECE48148.2020.9223073

Debeshi Dutta, Soumen Sen, Srinivasan Aruchamy, S. Mandal

{"title":"Development of a smart glove for affordable diagnosis of stroke-driven upper extremity paresis","authors":"Debeshi Dutta, Soumen Sen, Srinivasan Aruchamy, S. Mandal","doi":"10.1109/ICCECE48148.2020.9223073","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223073","url":null,"abstract":"Stroke is the third highest cause of disability-adjusted-life-years (DALYs) and is becoming an important cause of disability in low-and-middleincome countries (LMICs). It has been found that in developing countries, especially in rural areas, patients suffering from disabilities due to stroke do not receive appropriate on-time treatment due to infrastructural limitations and financial barriers. Conventional rehabilitation management systems fail to cater the demanding requirements thereby arousing the need for evolution of wearable m-Health devices for uninterrupted health monitoring of patients with upper extremity paresis. In the present research, we have developed an instrumented glove incorporated with wearable sensors (bend sensors, pressure sensors, and accelerometers) for continuous monitoring of activities of daily living (ADLs) by capturing and transmitting sensory information related to finger bend angle, tip pressure, and acceleration or orientation while doing specified grasps. The sensors were calibrated using standard instruments before installation. Two subjects, a healthy individual and an individual suffering from upper extremity disability after stroke impaired, were employed for experimental validation. The subjects were instructed to perform certain pre-defined tasks and the related finger bending angles, finger-tip pressures, and acceleration were recorded. The trend of the dataset obtained was graphically visualized and analyzed for statistical parameters like mean, variance, maxima, and minima, leading to a generation of appreciably distinguishable results that discriminated against a stroke patient from a healthy individual. Therefore, the present glove-based stroke diagnosis method can be adopted for an affordable and efficient stroke rehabilitation process while promoting m-health at the same time.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127508721","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