2017 11th International Conference on Intelligent Systems and Control (ISCO)最新文献_第7页

Revamped Market-Basket Analysis using In-Memory Computation framework 改进的基于内存计算框架的购物篮分析

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7855955

Thanmayee, H. Prasad

{"title":"Revamped Market-Basket Analysis using In-Memory Computation framework","authors":"Thanmayee, H. Prasad","doi":"10.1109/ISCO.2017.7855955","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855955","url":null,"abstract":"Data sets are growing day by day as they are being captured by information sensing devices such as mobiles, computers, wireless sensor networks, cameras, software logs, weblogs, remote sensing in various fields such as medical, engineering, science and many more. These large data sets are now called Big Data. Working with Big Data is not a common task. As this large data set has information hidden within them, researchers cannot and they have not ignored the large data set. Data mining is an interdisciplinary field in Computer Science which extracts information or the hidden patterns from data. Association rule mining and frequent itemset mining are popular data mining techniques that requires entire data to be in main memory. But large datasets does not fit into main memory. To handle this drawback, Hadoop MapReduce approach is used which has scalability and robustness features to handle large datasets. Apriori, Eclat and FP Growth are well known Frequent Itemset Mining algorithms. These algorithms are revised to work with Big Data using Hadoop MapReduce. But MapReduce framework has problems such as it stores the intermediate data in local disk. So the data needs to be accessed from the local disk which results in high latency problem. To address this issue Spark follows a general execution model that helps in in-memory computing and optimization of arbitrary operator graphs so that querying data becomes much faster when compared to the disk based engines like MapReduce. Thus the paper focuses on enhancing the performance of Frequent Itemset Mining using Apache Spark architecture and study the performance of this Revamped Market Basket Analysis based on FP-Growth by comparing it with Hadoop MapReduce implementation of Frequent Itemset Mining task, BigFIM and also with different datasets.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121264378","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

Coherence analysis between heart and brain of healthy and unhealthy subjects 健康与不健康受试者心、脑的一致性分析

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7856015

P. Rajesh, K. Umamaheswari

{"title":"Coherence analysis between heart and brain of healthy and unhealthy subjects","authors":"P. Rajesh, K. Umamaheswari","doi":"10.1109/ISCO.2017.7856015","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856015","url":null,"abstract":"This paper presents the coupling of frequency spectra or degree of association between the EEG and ECG signals at a particular frequency. Coherence is often interpreted as a measure of a functional association and ‘coupling’ between two signals. An electrocardiogram (ECG) is an electrical recording of the heart and is used in the investigation of heart disease. An electrocardiogram (ECG) is a graphic tracing of the electric current generated by the heart muscle during heart beat. It has been used extensively in medicine since it has been proven to be invaluable in various diagnostics applications and clinical applications. An EEG signal reflects the electrical activity of human brain. EEG signals arises from the fact that these waveforms provide the non-invasive diagnostic tool in a wealth of disorders that include epilepsy and comma assessment in intensive e care unit. In this paper, we analyzed the association of heart with brain signals (ECG and EEG) of fundamental animals like Dog and Cow by obtaining magnitude squared coherence and phase coherence parameters at a certain range of frequency. We also analyzed the coherence between heart and brain signals of Healthy subject, Comatic patient and Brain dead person.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128204906","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

Comparative analysis of similarity measures in Heterogeneous Information Network 异构信息网络中相似性度量的比较分析

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7856002

Vaishali Patil, Ramesh Vasappanavara, T. Ghorpade

{"title":"Comparative analysis of similarity measures in Heterogeneous Information Network","authors":"Vaishali Patil, Ramesh Vasappanavara, T. Ghorpade","doi":"10.1109/ISCO.2017.7856002","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856002","url":null,"abstract":"Information network derived from various domains are studied recently. Searching for Similarity is a major task into such types Information Network. Lot of research on computing similar objects is done in Homogeneous Information Network. But real world scenario can be described easily by Heterogeneous Information Network (HIN) which consists of different types of entities and relationship among them. Due to multiple type of entities and links between them in HIN, it is necessary to find the similarities between the nodes of HIN. In Homogeneous Information Network, there is only single type of node and links in between them. There are many existing methods by which similarity among the nodes of Homogeneous Information Network can be calculated. But those methods cannot be applied for the HIN because semantic meaning behind each path cannot be considered. If we want to apply techniques of Homogeneous Information Network on HIN then we need to project HIN into Homogeneous Information Network which causes loss of Information. So there is a need to apply different techniques or similarity measures on HIN to calculate the similarities between nodes in HIN. There are many similarity measures implemented by researchers for HIN. Similarity search basically concentrates on discovering the most similarity objects for a given query entity. In a comparative analysis section, we have discussed some of the measures used for similarity.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130100290","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

Multi BSF layer InGaP/GaAs high efficiency solar cell 多BSF层InGaP/GaAs高效太阳能电池

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7855998

Jivesh Verma, P. Dey, A. Prajapati, T. Das

引用次数: 2

Microcontroller based digital meter with alert system using GSM 基于单片机的数字电表报警系统

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7856033

Bharathkumar V., Irshad Sm, G. S., R. Geethamani

{"title":"Microcontroller based digital meter with alert system using GSM","authors":"Bharathkumar V., Irshad Sm, G. S., R. Geethamani","doi":"10.1109/ISCO.2017.7856033","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856033","url":null,"abstract":"The objective of this paper is to design and implement the low cost digital meter using PIC microcontroller, which could be used for monitoring the temperature and humidity of our environment. In this paper, it is focused mainly for our homes. The temperature is measured using LM35 temperature sensor and the humidity is measured using DHT11 humidity sensor. The measured parameters are displayed through LCD screens, normally like a digital meter. Apart from acting as a meter, it performs the function of automated control system which controls the motor driver connected to the fan, based on the temperature sensed using the microcontroller. When the fire catches the home and the sensor values exceeds the limit, an alert SMS will be sent to the person living in the home through the SIM900 GSM module. Also, an SMS carrying the home address will be sent to the fire department which alerts the fire fighters to urge to the location so that they can protect the home from fire. This paper also proposes the idea of automatic humidity controller using dehumidifier controlled by the microcontroller through the relay module. Thus, the proposed microcontroller based automated digital meter model has been discussed in the paper.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128823809","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: 18

Interference aware downlink scheduling algorithm in Mobile networks 移动网络中干扰感知下行链路调度算法

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7855999

K. Ramkumar, P. Newton

引用次数: 1

Recent trends in energy management of wireless wearable bio sensor design 能量管理无线可穿戴生物传感器设计的最新趋势

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7856027

Dhanashri H. Gawali, V. Wadhai

引用次数: 6

An advance system for emergency vehicles: Based on M2M communication 一种基于M2M通信的先进应急车辆系统

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7856020

Saurabh Barthwal, Piyush Menghani

引用次数: 5

Process parameter effects in the friction surfacing of MONEL over mild steel 工艺参数对MONEL在低碳钢表面摩擦堆焊的影响

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7855981

B. Murugan, V. Balusamy, R. Padmanaban

引用次数: 4

Learning visual saliency with statistical priors 学习统计先验的视觉显著性

2017 11th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2017.7855958

Gauri Deshpande, Santosh V. Chapaneri, Deepak Jayaswal

引用次数: 0