2016 10th International Conference on Intelligent Systems and Control (ISCO)最新文献_第8页

An efficient Naïve Bayes classifier with negation handling for seismic hazard prediction 地震灾害预测中一种高效的Naïve贝叶斯分类器

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726906

K. Netti, Y. Radhika

{"title":"An efficient Naïve Bayes classifier with negation handling for seismic hazard prediction","authors":"K. Netti, Y. Radhika","doi":"10.1109/ISCO.2016.7726906","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7726906","url":null,"abstract":"Classification is the one of the most important techniques in Datamining for data analysis. In Datamining, different Classification Techniques are available to predict outcome for a given dataset. There are many classification techniques for predicting and estimating accuracy, one such famous technique is Naïve Bayes Classifier. Naïve Bayes is very popular as it is easy to build, not so complex and when combined with smoothing techniques give better accuracy. In this paper Naîve Bayes Classifier for estimating Seismic Hazard activity is proposed. Hazard indicates a possible threat to life, health, property and environment. Mitigation of haz ard when crossing stipulated level is very important, otherwise it may lead to an emergency. One of the most dangerous hazards in mining activities is Mining Hazard. Mineral, Diamonds/Gold and Coal exploration involves mining in a big way where hazard occurrence is quite common and addressing these mining hazards is a challenging task. An important threat of Mining Hazard is Seismic Hazard which is normal in underground mines. Thus Predicting Seismic Hazard is one of the most important aspect in countering Mining Hazards. In this paper the authors are proposing a new approach to improve accuracy of predicting seismic hazard by using Naive Bayes classifier with negation handling. This approach, outperforms the traditional Naïve Bayes Classifier in terms of accuracy.","PeriodicalId":320699,"journal":{"name":"2016 10th 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":"132625922","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

Self-constructing clusters in dynamic heterogeneous multi typed network 动态异构多类型网络中的自构造集群

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727109

M. Balamurugan, L. Visalatchi

引用次数: 0

Imposing patient data privacy in wireless medical sensor networks through homomorphic cryptosystems 通过同态密码系统在无线医疗传感器网络中实现患者数据隐私

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727027

R. F. S. Pearlin, G. Rekha

{"title":"Imposing patient data privacy in wireless medical sensor networks through homomorphic cryptosystems","authors":"R. F. S. Pearlin, G. Rekha","doi":"10.1109/ISCO.2016.7727027","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727027","url":null,"abstract":"In recent years, healthcare applications are regarded as hopeful fields for wireless sensor networks, where the patients have been monitored in hospitals and at their accommodating places. These wireless medical sensor networks are more endangered to intruding, modification, eavesdropping, impersonation and playback attacks than the wired networks. A lot of solutions have been developed to secure wireless medical sensor networks. The already available solutions can safeguard the patient data during communication, but unable to terminate the inside attack where the proprietor of the patient database discloses the delicate patient information. In this project, an empirical approach has been presented to safeguard the inside attack by utilizing multiple number of data servers to store patient data for further utility. The main contribution of this work is to distribute the patient information securely in multiple data servers and by employing the homomorphic cryptosystems (modified paillier/elgamal) to accomplish patients' data privacy. This is a secure method against both outside and inside attacks as long as all the data servers are not compromised.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"560 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":"133725246","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: 92

Modeling and simulation of fuzzy based BLDC fed vertically rotating one DOF robot arm position control system 基于模糊无刷直流馈入垂直旋转一自由度机械臂位置控制系统的建模与仿真

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727135

R. Manikandan, R. Arulmozhiyal

引用次数: 3

Indirect model reference adaptive control of quadrotor UAVs using neural networks 基于神经网络的四旋翼无人机间接模型参考自适应控制

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727123

Nikhil Angad Bakshi, Raghu Ramachandran

引用次数: 9

Improved O-LEACH protocol: A clustering based approach in wireless microsensor network 改进的O-LEACH协议:一种基于聚类的无线微传感器网络方法

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727015

Pooja, Surendra Singh

引用次数: 5

Text recognition in bilingual machine printed image documents — Challenges and survey: A review on principal and crucial concerns of text extraction in bilingual printed images 双语机器打印图像文档中的文本识别-挑战与调查:双语打印图像中文本提取的主要和关键问题综述

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727069

Shalini Puri, S. Singh

{"title":"Text recognition in bilingual machine printed image documents — Challenges and survey: A review on principal and crucial concerns of text extraction in bilingual printed images","authors":"Shalini Puri, S. Singh","doi":"10.1109/ISCO.2016.7727069","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727069","url":null,"abstract":"In this digital world, accurate text identification and recognition has become an important key area of image document analysis and processing. Textual data, ranging from simple to complex images along with language variations - mono, bi, tri or multilingual scripts, is identified and extracted. This paper is designed to focus the challenges and complex issues of text recognition in bilingual machine printed imaged documents. Major crucial factors are discovered and mentioned which become the bottlenecks in correct and accurate recognition. With this, a hierarchical structure depicting three Classification Schemes (CS) A, B and C of bilingual printed imaged document is shown, where A, B and C are related to the content form, image mining and language or script determination. Some loopholes of OCR working are also discussed. To analyze the existing algorithms and methods, a survey is presented to focus on their critical issues, proposed solutions along with constraints and errors found during text processing. It leads to find out the shortcomings and limitations of different methods. Various specifications and factors found from the techniques are also shown as their characteristics and are compared relatively to distinguish them. It is observed that most of the existing methods are based on the classification schemes CS A-A1 and C-C1 and C2 and are designed for the script identification with 300 dpi gray scale image using SVM classifier.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"77 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":"128216065","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

Enhanced throughput for cognitive radio networks using self-scheduled backoff algorithm 利用自调度回退算法提高认知无线网络的吞吐量

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7726896

G. Begum, B. Nathiya

引用次数: 0

Load frequency control of wind diesel hybrid power system using DE algorithm 基于DE算法的风柴油混合动力系统负荷频率控制

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727031

D. Lal, Ajit Kumar Barisal, S. K. Nayak

引用次数: 7

HDL based controller for continuous multiple vital health parameters monitoring system for record keeping 基于HDL的多生命健康参数连续监测系统的记录保存

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2016.7727067

R. K. Megalingam, Goutham Pocklassery, P. S. Teja, S. Reddy, K. S. Kumar

{"title":"HDL based controller for continuous multiple vital health parameters monitoring system for record keeping","authors":"R. K. Megalingam, Goutham Pocklassery, P. S. Teja, S. Reddy, K. S. Kumar","doi":"10.1109/ISCO.2016.7727067","DOIUrl":"https://doi.org/10.1109/ISCO.2016.7727067","url":null,"abstract":"Continuous monitoring of vital health parameters has become essential with the increase in the number of people who require those. These include elders, post-surgery patients, heart patients, and even healthy people who have high health conscious. The extent of medical support required by such people varies from person to person. Monitoring of multiple parameters include heart rate, temperature, pressure, blood oxygen level, sugar level etc. The system monitoring multiple parameter should also keep in pace with them. As the number of parameters to be monitored keeps increasing, there should be enough storage space for the large amount of data to be stored which is going to get accumulated with time. Microcontroller based systems for monitoring multiple parameters are not enough to cater the speed, bandwidth requirements. In this paper we discuss about the development of a VLSI based controller which uses AMBA-APB (Advanced Microcontroller Bus Architecture - Advanced Peripheral Bus) interface bus to store the health parameters in the memory for record keeping.","PeriodicalId":320699,"journal":{"name":"2016 10th 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":"122369973","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