2019 International Conference on Intelligent Computing and Control Systems (ICCS)最新文献_第9页

An Elicit Elucidation on the process of Education Data Mining 教育数据挖掘过程的引出性阐述

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065889

H. Kaur, A. Kushwaha

引用次数: 0

Stock Market Prediction Using Artificial Neural Networks 利用人工神经网络进行股市预测

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065702

P. K. Bharne, S. Prabhune

引用次数: 0

Tuning of IMC based PID controller for stable and integrating time delayed processes. 基于IMC的稳定积分时滞PID控制器的整定。

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065384

Sanjay Kumar Suryavanshi, Sudeep Sharma, P. Padhy

{"title":"Tuning of IMC based PID controller for stable and integrating time delayed processes.","authors":"Sanjay Kumar Suryavanshi, Sudeep Sharma, P. Padhy","doi":"10.1109/ICCS45141.2019.9065384","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065384","url":null,"abstract":"The internal model control (IMC) and proportion-integral-derivative (PID) controller is proposed for time delay process with stable and integrating process type model. In IMC PID controller the process model of unstable pole part must be cancelled to the zeros of first order filter for better performance of the controller. In this paper we are introduce the first order Pade approximation to simplify the transportation delay term present in model. Pole–zero cancellation and stability of the process have been done by first order low pass filter, which is considered for stable and integrating system with time delay for better performance. The tuning parameters of the PID controller are calculated by the time constant and time delay of the process model. Simulation of the system gives the better comparisons as the previous proposed method. In this method we comparing the three type of integrating error like integral absolute error(IAE), Integral time weighted absolute error (ITAE) and integral square error (ISE) and observe that the suggest method have been given better result as previous method. The tuning of the process of PID controller has improved by first order Pade approximation.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450421","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

PVC Ectopic Beats Detection Using Genetic-based Support Machine and Features of QRS Wave 基于遗传支持机的PVC异位心跳检测及QRS波特征

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065400

Kapil Kumar, R. K. Sunkaria, B. S. Saini

引用次数: 0

Mitigation of Voltage Sag And Voltage Swell By Dynamic Voltage Restorer 动态电压恢复器对电压骤降和电压膨胀的抑制

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065647

P. Swain, B. Panigrahi, Rama Prasanna Dalai, Jyotiranjan Mohnaty, Sidhanta S. Medinray, Shakti Prasad Ray

引用次数: 9

An IoT based Real-Time Stress Detection System for Fire-Fighters 基于物联网的消防员实时应力检测系统

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065866

Jeril V Raj, Sarath T V

{"title":"An IoT based Real-Time Stress Detection System for Fire-Fighters","authors":"Jeril V Raj, Sarath T V","doi":"10.1109/ICCS45141.2019.9065866","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065866","url":null,"abstract":"Stress is an acute condition of a person experienced under high pressure. This can to conditions like depression and cardiac arrest. One of the top most stressful jobs across the globe is that of firefighters. They, not only have to rescue the people who are in danger also needs to keep themselves and their co-workers safe during the rescue mission. This paper deals with the design and implementation of a real-time stress monitoring system for firemen who have been assigned a fire rescue mission. This work focusses on the development of a wireless sensor node prototype embedded on the gloves of firemen which embeds Galvanic Skin Response (GSR) sensor and heart rate sensor to detect the stress level, a microcontroller to process data, a communication module using ZigBee to send data and a rechargeable long-lasting power supply. The system uses Message Queuing Telemetry Transport (MQTT), as the IoT message protocol and Adafruit IO as the MQTT broker and analytics platform to store and analyze data based on which the alerts are displayed to the fire engine via User Interface (UI). Also, advanced Machine Learning techniques can be incorporated in the future to study the anomaly and predict the stress among firemen beforehand.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124019229","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: 7

Prediction and Classification Of Vector-Borne and Communicable Diseases through Artificial Neural Networks 基于人工神经网络的媒介传播和传染病预测与分类

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065500

Shivam Karn, Shubham Sangole, Abhishek Gawde, Jyoti Joshi

{"title":"Prediction and Classification Of Vector-Borne and Communicable Diseases through Artificial Neural Networks","authors":"Shivam Karn, Shubham Sangole, Abhishek Gawde, Jyoti Joshi","doi":"10.1109/ICCS45141.2019.9065500","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065500","url":null,"abstract":"It is easy enough to be infected with communicable and vector-borne diseases, which have very similar symptoms, most of which occur after days. Nowadays technology can help in the correct diagnosis of these diseases. Early diagnosis is necessary to ensure that appropriate treatments and medications are administered, which requires the need for an automated system to predict possible infections. This requires a system that allows the patient to distinguish between these conditions and diagnose the possible disease based on symptoms. After having diagnosed the disease, the goal is to provide appropriate treatment based on the type of disease expected. The implementation of this medical diagnosis system is carried out with the help of Artificial Neural Networks that use backpropagation algorithm for training. With the implementation of Artificial Neural Networks in medical diagnosis, the accuracy of the system improves with respect to the rule-based model and with the use of the backpropagation algorithm together with the gradient optimization technique, the results are more precise.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"35 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114361664","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: 4

Supervised Learning Approach towards Class Separability- Linear Discriminant Analysis 类可分性的监督学习方法——线性判别分析

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065622

Anjali Pathak, B. Vohra, Kapil O. Gupta

{"title":"Supervised Learning Approach towards Class Separability- Linear Discriminant Analysis","authors":"Anjali Pathak, B. Vohra, Kapil O. Gupta","doi":"10.1109/ICCS45141.2019.9065622","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065622","url":null,"abstract":"Feature extraction can be observed as a step involved in preprocessing phase. It helps to remove redundant inconsistent data from a dataset. After this, job of classifiers becomes smooth and they perform better. In supervised algorithms, the extracted or main features are used in categorisation of data to its class. In this paper, we have done experiments on Linear Discriminant Analysis (LDA) which is a technique of dimensionality reduction used in various areas like machine learning and pattern classification. LDA projects datasets on lower-dimensions having larger class-separation which in turn helps to minimise the computational costs and avoid overfitting. The experiments are conducted on various datasets, their performance is checked using various metrics and a graphical view of class separability is also shown for a better understanding to the reader. In our results analysis we have used the Logistic regression classifier for classification of data points to their accurate classes and we have received an accuracy of 100% with wine dataset and 97% accuracy with bank-note dataset. This shows the remarkable efficacy of this algorithm.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125835675","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

A Supervised Learning Approach to An Unmanned Autonomous Vehicle 无人驾驶汽车的监督学习方法

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065485

Abdul Kadar Muhammad Masum, Md. Abdur Rahman, Mohammed Shahbaz Abdullah, Sayem Bin Sarwar Chowdhury, Tanvir Bin Faysal Khan, Md. Kaiser Raihan

引用次数: 1

Design of microcontroller based agribot for fertigation and plantation 基于单片机的施肥种植农业机器人的设计

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065768

Akshay Y. Kachor, K. Ghodinde

引用次数: 5