2018 International Conference on Advanced Computation and Telecommunication (ICACAT)最新文献_第3页

Stock Price Prediction on Daily Stock Data using Deep Neural Networks 基于深度神经网络的每日股票价格预测

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933791

S. Jain, Roopam K. Gupta, Asmita A. Moghe

{"title":"Stock Price Prediction on Daily Stock Data using Deep Neural Networks","authors":"S. Jain, Roopam K. Gupta, Asmita A. Moghe","doi":"10.1109/ICACAT.2018.8933791","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933791","url":null,"abstract":"The price of a stock is volatile and complex in nature which makes its prediction a difficult task. This paper plans to predict the prices of Tata Consultancy Services (TCS) and Madras Rubber Factory Limited (MRF) stocks on a short-term basis. In this paper, a comparative analysis of various Deep Neural Network techniques applied for a stock price prediction application is done. The networks used are pertinent to the problem include Convolutional Neural Networks, Long Short-Term Memory Networks and Conv1D-LSTM. The different neural network models are trained on daily stock price data which includes Open High, Low, and Close price values. These are used to predict the next day closing price. From the last 5 days of data, the prediction is made. Results of different models a recompared with each other. In this paper, a deep neural network Conv1D-LSTM is proposed which is based on the combining of layers of two different techniques – CNN and LSTM top redict the price of a stock. The performance of the models is evaluated using RMSE, MAE and MAPE. These errors in Conv1D-LSTM model are found to be very low compared to CNN & LSTM. For stock price prediction, Conv1DLSTMnetworkisfoundtobeeffective,depending on the nature of stock hyper-parameters may require some variations.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"110 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81449181","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: 27

Utilization of OVSF codes for service Enhancement of LTE-R 利用OVSF码增强LTE-R业务

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933776

Mario Ligwa, V. Balyan, B. Groenewald

引用次数: 1

Comparison and Selection of Wavelets for Vibration Signals Denoising and Fault Detection of Rotating Machines using Neighborhood Correlation of SWT Coefficients 基于SWT系数邻域相关的旋转机械振动信号去噪与故障检测小波的比较与选择

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933643

R. Jha, P. D. Swami, Dhanpratap Singh

{"title":"Comparison and Selection of Wavelets for Vibration Signals Denoising and Fault Detection of Rotating Machines using Neighborhood Correlation of SWT Coefficients","authors":"R. Jha, P. D. Swami, Dhanpratap Singh","doi":"10.1109/ICACAT.2018.8933643","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933643","url":null,"abstract":"The vabartion signals carries the dynamic informations of the machine, which is useful for fault identification of the machine. The practical raw signals suffer from heavy noise, it is essential to retrieve the original signal from noisy raw signals. The signal processing techniques are very effective in such situations. The presence of noise in vibration signal is so large that its elimination results in information loss. In the proposed work noisy vibration signals corrupted by AWGN noise of faulty gear box faulty gear box are denoised using many wavelets and the results are compared. Stationary Wavelet Transform (SWT) is time invariant transform due to this property it is free from the aliasing problem. In this work SWT has been employed for vibration signal denoising and the results have been compared to the discrete wavelet Transfrom(DWT). The fault detection becomes easy for denoised signal and the analysis of its spectrum predicts the actual condition of the machine. The denoised results are compared on the basis of kurtosis.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"12 12 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79564251","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

Study, Design and Analysis of 8 bit MIPS Processor using deepsubmicron CMOS C5 process 采用深亚微米CMOS C5工艺的8位MIPS处理器的研究、设计与分析

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933743

Divya Shukla, Ayoush Johari

引用次数: 1

Evaluate Performance of student by using Normalized data set, Fuzzy and A-priori Like Algorithm 采用归一化数据集、模糊算法和类先验算法对学生进行评价

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933774

Ruchi Katare, Dheresh Soni

引用次数: 1

Security solutions in Cloud through customized IDS configuration at VM level 云中的安全解决方案，通过在虚拟机级别定制IDS配置

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933581

Yakuta Tayyebi, D. Bhilare

{"title":"Security solutions in Cloud through customized IDS configuration at VM level","authors":"Yakuta Tayyebi, D. Bhilare","doi":"10.1109/ICACAT.2018.8933581","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933581","url":null,"abstract":"Security is one of the top concerns in the adoption of Cloud Computing. Due to the distributed architecture, assessed through the internet cloud architecture are exposed to critical network attacks. Intrusion Detection System is used to ensure network security and early detection of possible attacks. When deployed in Cloud architecture, Intrusion Detection System has to confront issues like high amounts of data to be processed due to high network traffic and high false alarm rates due to dynamic nature of cloud. This paper will provide overview of working of IDS and its deployment in cloud. We propose a novel algorithm that works in accordance with the Virtual Machine’s feature and network behavior to select signatures for configuring intrusion detection system at virtual machine level. This system aims at providing high detection accuracy with low false positive rate at affordable computational cost. We will use snort, a signature based detection tool to detect the known attacks. IDS at each instance will be configured with selected signatures in the cloud environment. The system developed is evaluated for IDS accuracy and resources required.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"199 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74224956","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

Smart Home Security System 智能家居安防系统

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933780

Aman Sharma, Anjana Goen

引用次数: 1

Techno-Economic Comparison of On Grid and Off Grid Hybrid WT / Solar Photo Voltaic Connected Power Generating Unit Using HOMER 利用HOMER并网与离网混合WT /太阳能光伏并网发电机组的技术经济比较

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933685

K. Ritu, A. Wadhwani, A. Rajoria

{"title":"Techno-Economic Comparison of On Grid and Off Grid Hybrid WT / Solar Photo Voltaic Connected Power Generating Unit Using HOMER","authors":"K. Ritu, A. Wadhwani, A. Rajoria","doi":"10.1109/ICACAT.2018.8933685","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933685","url":null,"abstract":"This paper focuses on the economical feasibility of grid connected hybrid(PV/Wind turbine) power system for rural area application in India, Madhya Pradesh Satna District $(24^{circ}34$' 46.9776'' N and $80^{circ}49$' 55.8336'' E).The Hybrid PV/Wind power system which is the best renewable system has been chosen due to its complementary nature. The investigation was carried out by studying the potential of wind and solar energy and collecting data from different sources. Hybrid Optimization Model for Electrical Renewable (HOMER) software is used to design the system for giving an optimized result of the available data. A comparative analysis was performed by designing an off grid and on grid Hybrid system for the same location. A sensitivity analysis was also carried out to get a better understanding of which model is best suited from both efficiency and economy point of view. Generation and storage units for each system where properly sized in order to meet the yearly load and minimize the total annual cost to the customer. Simulation results indicates the feasibility and improved functionality of the system which makes it most cost effective for the proposed region.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"141 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78320655","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

Dynamic Pricing in Movie Tickets using Regression Techniques 基于回归技术的电影票动态定价

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933733

Vaibhav Gupta, Kukdeep Singh, S. Arjaria, Bhaskar Biswas

引用次数: 1

Beyond Hadoop for e-commerce Big Data Analysis through Amazon 超越Hadoop，通过亚马逊进行电子商务大数据分析

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933660

Ankush Verma, N. Sethi, Neelesh Jai

引用次数: 0