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检索条件"任意字段=International Conference on Recent Advances in Soft Computing 2000"

共 185 条记录，以下是91-100 订阅

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Online Event Classification for Liver Needle Insertion Based on Force Patterns 13th

Online Event Classification for Liver Needle Insertion Based...

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13th international conference on Intelligent Autonomous Systems (IAS)

作者： Elgezua, Inko Song, Sangha Kobayashi, Yo Fujie, Masakatsu G. Waseda Univ Grad Sch Adv Sci & Engn Tokyo Japan Waseda Univ Fac Sci & Engn Tokyo Japan

ISBN: (纸本)9783319083384;9783319083377

In recent years percutaneous treatments for cancer have won momentum in the medical field. With it new needle insertion robots appeared to overcome the difficulties associated with needle insertion into soft tissue. At first, the main focus was to achieve high needle placement accuracy, however, the focus nowadays has shifted toward needle steering and patient specific needle tissue interaction. In this paper we present a classification method to detect the type of tissue being punctured in real time. The purpose of the proposed method is to detect particular events that can be used in a situational awareness agent. First, we will introduce the methodology to create the statistical models used for classification, next, we prove the feasibility of the proposed classification method with experimental results and show that the proposed method hit a target even when tissue is deformed by analyzing needle insertion force patterns.

关键词： Needle insertion robot soft tissue modeling Situation awareness

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recent advancements in energy efficient routing in wireless sensor networks: A survey 5th

Recent advancements in energy efficient routing in wireless ...

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5th international conference on soft computing for Problem Solving, SocProS 2015

作者： Pandey, Gaurav Kumar Singh, Amritpal Department of CSE Lovely Professional University PhagwaraPunjab India

ISBN: (纸本)9789811004476

Wireless sensor networks have set a new realm in the field of wireless transmission technology. Their applications have diversified over the years and now they cover various sophisticated areas of applications which include military applications, surveillance, agriculture, monitoring and control, etc. This paper covers various recent developments in the field of energy-aware routing techniques to minimize the energy consumption and extend the lifetime of wireless sensor networks. © Springer Science+Business Media Singapore 2016.

关键词： Wireless sensor networks

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Analysis of Heavy Metal Ions in Potable Water using soft computing Technique

Analysis of Heavy Metal Ions in Potable Water using Soft Com...

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6th international conference on advances in computing and Communications (ICACC)

作者： Karkra, Rashmi Kumar, Prashant Bansod, Baban K. S. Krishna, C. Rama Natl Inst Tech Teachers Training & Res Chandigarh 160019 India Cent Sci Instruments Org CSIR Chandigarh 160030 India CSIO Acad Sci & Innovat Res Chandigarh 160030 India

The water quality analysis has been an intriguing subject in the recent years because of the issues related to water resources. The work presents the application of the genetic algorithm to water samples containing contaminants for the optimal selection of electrode and the corresponding frequency for the better classification of various contaminants. We have used 24 water samples containing 8 different heavy metal ions (Cd, Co, Zn, Ni, Cu, Cr, Ar and Pb) for our experiment. The electrodes used were Gold, Platinum, Glassy Carbon and Silver Nanoparticle electrode. The impedance values of these four electrodes are recorded as Single-Electrode Multi-Frequency (SEMF), Single-Frequency Multi-Electrode (SFME) and Multi-Electrode Multi-Frequency (MEMF). The impedance values are subjected to Principal Component Analysis. Further, the optimal classification of various metal ions present in the water samples is done using Genetic Algorithm and this is validated by the application of Davis Bouldin index. The results show that DBI value may be enhanced by choosing electrode with optimum frequency. (C) 2016 Published by Elsevier B.V.

关键词： Genetic Algorithm Heavy Metal Ions Water Quality

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advances in Rough and soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering

Advances in Rough and Soft Clustering: Meta-Clustering, Dyna...

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international Joint conference on Rough Sets (IJCRS)

作者： Lingras, Pawan Triff, Matt St Marys Univ Math & Comp Sci Halifax NS Canada

ISBN: (纸本)9783319471600;9783319471594

Over the last five decades, clustering has established itself as a primary unsupervised learning technique. In most major data mining projects clustering can serve as a first step in understanding the available data. Clustering is used for creating meaningful profiles of entities in an application. It can also be used to compress the dataset into more manageable granules. The initial methods of crisp clustering objects represented using numeric attributes have evolved to address the demands of the real-world. These extensions include the use of soft computing techniques such as fuzzy and rough set theory, the use of centroids and medoids for computational efficiency, modes to accommodate categorical attributes, dynamic and stream clustering for managing continuous accumulation of data, and meta-clustering for correlating parallel clustering processes. This paper uses applications in engineering, web usage, retail, finance, and social networks to illustrate some of the recent advances in clustering and their role in improved profiling, as well as augmenting prediction, classification, association mining, dimensionality reduction, and optimization tasks.

关键词： Clustering Rough sets Fuzzy sets Finance Retail Social networks Web usage Engineering Meta-clustering Dynamic clustering

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An introduction towards automated parameterization reduction of soft set

An introduction towards automated parameterization reduction...

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international conference on recent advances in Information Technology (RAIT)

作者： Tuli Bakshi Arindam Sinharay Tanmoy Som Department of Information Technology Jadavpur University Kolkata India Department of Information Technology Future Institute of Engineering & Management Kolkata India Department of Mathematical Sciences Indian Institute of Technology (BHU) Varanasi India

ISBN: (纸本)9781479985807

In this paper, we introduce seven correlated algorithms for reduction of decision making parameters. This reduction framework is heuristic function based. The reduction of soft set decision parameters, those are collectively sufficient and individually necessary for keeping any special characteristic of a given information system. There has been very few works done on the algorithmic reduction techniques of decision parameter of soft set To the best of our knowledge, the computing complexities of available methods are of exponential order. We claim that our method is the first such kind of algorithms having polynomial time of computation. Illustrative example demonstrates the process elaborately.

关键词： decision parameters heuristic function information system polynomial time soft set Polynomial time Computer based information systems exponential order Set (Psychology)

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soft computing routing techniques in Wireless Sensor Network

Soft computing routing techniques in Wireless Sensor Network

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international conference on advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)

作者： Vijayalaxmi Kadrolli Jayashree Agarkhed Department of Computer Science and Engineering P.D.A College of Engineering Kalaburgi - 585102 India Department of Computer Science and Engineering P.D.A College of Engineering Kalaburgi India

ISBN: (纸本)9781467397469

In Wireless Sensor Networks (WSNs), sensor nodes are power constrained and have restricted lifetime. This necessitates understanding how much long the network prevails its networking operations as it is first concern of mission critical applications. In recent years, to increase network life, proper uses of routing protocols have been proposed. soft-computing (SC) technique highly addresses their compatibility and adaptability to overcome the complex challenges in WSNs. This paper explores the usage of SC based methods in design of routing models for WSNs that optimizes network life time.

关键词： Wireless sensor networks Routing Routing protocols Artificial neural networks Fuzzy logic Particle swarm optimization

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A Review of soft computing Techniques in Biometrics 2

A Review of Soft Computing Techniques in Biometrics

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2nd international conference on recent advances in Engineering

作者： Tanvi Goel, Neelam Kaur, Manvjeet Chitkara Univ Chandigarh India Panjab Univ Chandigarh India PEC Univ Technol Chandigarh India

ISBN: (纸本)9781467382533

In this paper, a review of soft computing techniques in biometrics is presented. Biometrics has become one of the most promising authentication techniques in the last few years but issues like False Acceptance Rate, False Rejection Rate still prevails in biometrics. An efficient biometric system has higher recognition rate, tolerance for imprecision, uncertainty and noisy data. recently, soft computing has gained wide popularity in biometric recognition where it has helped in improving the recognition rate to a great extent. Various soft computing techniques like fuzzy logic, evolutionary algorithm and artificial neural network has increasingly being used for the construction of efficient biometric systems. This paper first presents the introduction to biometrics along with the issues involved in it. A brief description of various soft computing techniques for feature extraction, fusion, feature optimization, improvement of recognition rate in biometrics is provided. Finally future research areas are presented.

关键词： soft computing multimodal biometrics fuzzy logic neural network evolutionary algorithm hybrid system

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Mendel 2015: recent advances in soft computing 21st

Mendel 2015: Recent advances in soft computing

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21st international conference on soft computing, Mendel 2015

作者： Matoušek, Radek Department of Applied Computer Science Brno University of Technology Brno Czech Republic

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A Review of the advances in Cyber Security Benchmark Datasets for Evaluating Data-Driven based Intrusion Detection Systems

A Review of the Advances in Cyber Security Benchmark Dataset...

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international conference on soft computing and software Engineering (SCSE)

作者： Abubakar, Adamu I. Chiroma, Haruna Muaz, Sanah Abdullahi Ila, Libabatu Baballe Int Islamic Univ Malaysia Fac Informat & Commun Technol Kuala Lumpur Malaysia Fed Coll Educ Tech Dept Comp Sci Gombe Nigeria Univ Malaya Dept Artificial Intelligence Kuala Lumpur Malaysia Bayer Univ Kano Fac Comp Sci & Informat Technol Dept Software Engn Kano Nigeria Bayer Univ Kano Dept Machan Engn Fac Engn Kano Nigeria

Cybercrime has led to the loss of billions of dollars, the malfunctioning of computer systems, the destruction of critical information, the compromising of network integrity and confidentiality, etc. In view of these crimes committed on a daily basis, the security of the computer systems has become imperative to minimize and possibly avoid the impact of cybercrimes. In this paper, we review recent advances in the use of cyber security benchmark datasets for the evaluation of machine learning and data mining-based intrusion detection systems. It was found that the state-of-the-art cyber security benchmark datasets KDD and UNM are no longer reliable, because their datasets cannot meet the expectations of current advances in computer technology. As a result, a new ADFA Linux (ADFA-LD) cyber security benchmark dataset for the evaluation of machine learning and data mining-based intrusion detection systems was proposed in 2013 to meet the current significant advances in computer technology. ADFA-LD requires improvement in terms of full descriptions of its attributes. This review can be used by the research community as a basis for abandoning the previous state-of-the-art cyber security benchmark datasets and starting to use the newly introduced benchmark dataset for effective and robust evaluation of machine learning and data mining-based intrusion detection system. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Cyber Security Benchmark datasets Cyber Crimes KDD ADFA Linux dataset UNM

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2015 2nd international conference on recent advances in Engineering and Computational Sciences, RAECS 2015

2015 2nd International Conference on Recent Advances in Engi...

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2nd international conference on recent advances in Engineering and Computational Sciences, RAECS 2015

ISBN: (纸本)9781467382533

The proceedings contain 157 papers. The topics discussed include: nonlinear robust observers for ball and beam system: a comparative analysis;performance analysis of an intrusion detection system using Panjab university intrusion dataset;power allocation schemes for OFDM-based cognitive radio networks;digital signature verification scheme for image authentication;FOPID controller optimization employing PSO and TRSBF function;analyzing short circuit forces in transformer with single layer helical LV winding using FEM;left handed metamaterial antenna design for GSM 1.8 GHz applications;ACI ( automated continuous integration) using Jenkins: key for successful embedded software development;a review of soft computing techniques in biometrics;optimal network selection using MADM algorithms;distance based verification techniques for online signature verification system;and multimodel biometric system: fusion techniques and their comparison.

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