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检索条件"任意字段=3rd International Conference on Soft Computing in Data Science, SCDS 2017"

共 694 条记录，以下是621-630 订阅

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A labVIEW based data acquisition system for electrical impedance tomography (EIT) 3

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Bera, Tushar Kanti Nagaraju, J. Department of Instrumentation and Applied Physics Indian Institute of Science Bangalore India

ISBN: (纸本)9788132217671

A LabVIEW based data acquisition system (LV-DAS) is developed for Electrical Impedance Tomography (EIT) for automatic current injection and boundary data collection. The developed LV-DAS consists of a NIUSB-6251 DAQ card, NISCB-68 connector module and an automatic electrode switching module (A-ESM). A LabVIEW based graphical user interface (LV-GUI) is develop to control the current injection and data acquisition by LV-DAS through A-ESM. Boundary data are collected for a number of practical phantoms and the boundary data profiles are studied to assess the LV-DAS. Results show that the high resolution NIDAQ card of the DAS improves its data acquisition performance with accurate measurement and high signal to noise ratio (SNR). © Springer India 2014.

关键词： data acquisition

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Graph coloring problem solution using modified flocking algorithm 1

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Sinha, Subarna Deb, Suman Department of Computer Science and Engineering National Institute of Technology Jirania Agartala Tripura799055 India

ISBN: (数字)9788132217688

ISBN: (纸本)9788132217671

Graph coloring is a widely studied method of assigning labels or colors to elements of a graph. This can also be mapped with bio-inspired bird flocking algorithms to solve the NP complete graph coloring problem in optimum time complexity. This paper proposes an application of the Bird flocking algorithm that uses the concepts of a flock of agents, e.g. birds moving together in a complex manner with simple local rules namely cohesion, alignment, separation and avoidance. Each bird representing one data, move with the aim of creating homogeneous groups of data in a two dimensional environment producing a spatial distribution that can be used to solve a particular computational problem. The combination of these characteristics can be used to design and solve the task of 3 coloring graphs. This graph labeling can hierarchically or linearly be applied on a domain specific network or set of items. © Springer India 2014.

关键词： Birds

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Cluster based term weighting model for web document clustering 3

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Prakash, B.R. Hanumanthappa, M. Mamatha, M. Department of Computer Science and Applications Bangalore University Bangalore India Department of Computer Science Sri Siddaganga College for Women Tumkur India

ISBN: (纸本)9788132217671

The term weight is based on the frequency with which the term appears in that document. The term weighting scheme measures the importance of a term with respect to a document and a collection. A term with higher weight is more important than a term with lower weight. A document ranking model uses these term weights to find the rank of a document in a collection. We propose a cluster-based term weighting models based on the TF-IDF model. This term weighting model update the inter-cluster and intra-cluster frequency components uses the generated clusters as a reference in improving the retrieved relevant documents. These inter cluster and intra-cluster frequency components are used for weighting the importance of a term in addition to the term and document frequency components. © Springer India 2014.

关键词： data mining

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Small world particle swarm optimizer for data clustering 3

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Vora, Megha Mirnalinee, T.T. Department of Computer Science and Engineering S.S.N College of Engineering Anna University Chennai India

ISBN: (纸本)9788132217671

Particle swarm is a stochastic optimization paradigm inspired by the concepts of social psychology and artificial intelligence. Population topology plays significant role in the performance of PSO. It determines the way in which particles communicate and share information with each other. Topology can be depicted as a network model. Regular networks are highly clustered but the characteristic path length grows linearly with the increase in number of vertices. On the contrary, random networks are not highly clustered but they have small characteristic path length. Small world networks have a distinctive combination of regular and random networks i.e. highly clustered and small characteristic path length. This paper presents a novel algorithm for data clustering by incorporating the concept of small world in particle swarm optimization. Efficiency of the proposed methodology is tested by applying it on five standard benchmark data set. Results obtained are compared with another PSO variant. Comparative study demonstrates the effectiveness of the proposed approach. © Springer India 2014.

关键词： Small-world networks

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Solve shortest paths problem by using artificial bee colony algorithm 1

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Mansouri, P. Asady, B. Gupta, N. Department of Mathematics Arak Branch Islamic Azad University Arak Iran Department of Computer Science Delhi University Delhi India

ISBN: (数字)9788132217718

ISBN: (纸本)9788132217701

Nature-inspired algorithms are among the most powerful algorithms to solve optimization problems. This paper intends to provide a detailed description of a new iterative method to solve the shortest path problem for given directed graph(dgraph) G = (V, E) from source node s to target node t. Each edge (i, j) € E has an associated weight wij. This problem is known as NP-hard problems, so an efficient solution is not likely to exist. Weights are assigned by the network operator. A path cost is the sum of the weights of the edges in the path. The efficiency of this approach is shown with some numerical simulations. For large data network, this method reaches to shortest path from s to t in polynomial time. © Springer India 2014.

关键词： Directed graphs

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An ensemble pruning approach based on reinforcement learning in presence of multi-class imbalanced data 3

An ensemble pruning approach based on reinforcement learning...

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Abdi, Lida Hashemi, Sattar Department of Computer Science and Engineering Shiraz University Shiraz Iran

ISBN: (纸本)9788132217701

In recent years, learning from imbalanced data sets has become a challenging issue in machine learning and data mining communities. This problem occurs when some classes of data have smaller number of instances than other classes. Multi-class imbalanced data sets have been pervasively observed in many real world applications. Many typical machine learning algorithms pose many difficulties dealing with these kinds of data sets. In this paper, we proposed an ensemble pruning approach which is based on Reinforcement Learning framework. In effect, we were inspired by Markov Decision Process and considered the ensemble pruning problem as a one player game, and select the best classifiers among our initial state space. These selected classifiers which can produce a good ensemble model, are employed to learn from multi-class imbalanced data sets. Our experimental results on some UCI and KEEL benchmark data sets show promising improvements in terms of minority class recall, G-mean, and MAUC. © Springer India 2014.

关键词： Reinforcement learning

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SVM and random forest classification of satellite image with NDVI as an additional attribute to the dataset 1

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Raj, K. Joshil Sivasathya, S. Department of Computer Science Pondicherry University Pondicherry India

ISBN: (数字)9788132217718

ISBN: (纸本)9788132217701

Image Classification is a widely researched subject both in the academic circles as well as industry having varied use in wide ranging applications in a multidisciplinary area. These techniques are being used in the fields of robotics, military applications, telecom, Oil and gas exploration, agriculture, creation of mapping products for military/civil applications and also by various departments of the Government for assessment of environmental damage, land use monitoring, radiation monitoring, urban planning, growth regulation, soil evaluation, and crop yield assessment. This paper addresses the issue of use of SVM and Random Forest algorithms for the classification of the Alwar satellite image data set. The normalized difference vegetation index (NDVI) is an estimate of the photosynthetically absorbed radiation over the land surfaces. We use NDVI as an additional attribute in the satellite image dataset to study the impact on the classification accuracy by these two algorithms. The experiments were performed using Alwar satellite image dataset, which has been previously classified using various other classification algorithms. The prediction accuracy and the kappa coefficient achieved for training data and the classified image generated from the test dataset after use of both the classifier systems is finally compared. © Springer India 2014.

关键词： Land use

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Proposal and survey of various data mining aspects in mobile computing environment 3

Proposal and survey of various data mining aspects in mobile...

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Pabla, Harcharan Singh Singh, Sukhdeep Gupta, Niyati Makhija, Palak Kaur, Prabhjot Singh, Gurpal Department of Engineering and Computer Science Concordia University MontrealQC Canada Department of Computer Science and Engineering Gyan Vihar University JaipurRajasthan India Department of Information and Technology Gyan Vihar University JaipurRajasthan India

ISBN: (纸本)9788132217701

data mining has its own statuary position in the communication industry. The other term coined for data mining is knowledge discovery of databases it might be mobile databases also. The analysis and discussion of different aspects of mining on mobile environment has been carried out in this paper. Firstly we have proposed two mining approaches for mobile environment i.e. CSU (Create, Select, Update) algorithm and CSA (Create, Select, Alter) algorithm. These two algorithms are achieved by CLDC component of J2ME which has also been discussed in the same paper. Secondly, we have proposed a new term i.e. Ambulatory data Mining (ADM) which is used to perform collaborative mining of data streams in mobile environments. Wireless communication technologies like Wi-Fi and Bluetooth, which interconnect the mobile devices, have opened doors for collaborative mining amongst the mobile devices targeting the same applications which are used for running data mining techniques on mobile devices. This collaborative mining has been achieved with the help of various mobile softwareagents. So, in the last section we have conducted a survey of various mobile software agents like INTELLIMINER, PADMA, PAPYRUS, HYBRID, KENSINGTON and DKN and discussed their salient features. © Springer India 2014.

关键词： data mining

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A low cost electrical impedance tomography (EIT) instrumentation for impedance imaging of practical phantoms: A laboratory study 3

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Bera, Tushar Kanti Nagaraju, J. Department of Instrumentation and Applied Physics Indian Institute of Science Bangalore India

ISBN: (纸本)9788132217671

A low cost Electrical Impedance Tomography (EIT) instrumentation is developed for studying the impedance imaging of practical phantoms. The EIT instrumentation is developed with a constant current injector, signal conditioner block and a DIP switch based multiplexer module. The constant current injector consists of a variable frequency Voltage Controlled Oscillator (VCO) and a modified Howland based Voltage Control Current Source (VCCS). The signal conditioner block is made up of an instrumentation amplifier (IAmp), a 50 Hz notch filter (NF) and a narrow band pass filter (NBPF) developed by cascading one lowpass filter and a highpass filter. The electrode switching module is developed using DIP switch based multiplexers to switch the electrodes sequentially for injecting current and measuring the boundary voltage data. Load response, frequency response and the Fast Fourier Transform (FFT) studies are conducted to evaluate the VCO, VCCS, IAmp, NF and NBPF performance. A number of practical phantoms are developed and the resistivity imaging is studied in EIDORS to evaluate the instrumentation. Result shows that the instrumentation is suitable for laboratory based practical phantom imaging studies. © Springer India 2014.

关键词： Notch filters

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A Broyden’s method based high speed Jacobean matrix calculator (JMC) for electrical impedance tomography (EIT) 3

引用

3rd international conference on soft computing for Problem Solving, SocProS 2013

作者： Bera, Tushar Kanti Biswas, Samir Kumar Rajan, K. Nagaraju, J. Department of Instrumentation and Applied Physics Indian Institute of Science Bangalore India Department of Physics Indian Institute of Science Bangalore India

ISBN: (纸本)9788132217671

Electrical Impedance Tomography (EIT) essentially needs the Jacobean matrix to reconstruct the conductivity distribution of the domain under test. A Broyden’s method based high speed Jacobean matrix (J) calculator is proposed for Electrical Impedance Tomography (EIT). The Gauss-Newton-based EIT image reconstruction algorithm repetitively calculates the Jacobian matrix (J) which needs a lot of computation time and cost. Broyden’s method based high speed Jacobean matrix calculator (JMC) makes explicit use of secant and adjoint information that can be obtained from the forward solution of the EIT. The Broyden’s method based high speed Jacobean matrix calculator (JMC) approaches reduce the computational time remarkably by approximating the system Jacobian (J) successively through low-rank updates. The performance of the JMC is studied with simulated EIT data and the results are compared with Gauss-Newton method based EIT reconstruction. Simulated results show that the Broyden’s method based image reconstruction algorithm accelerates the reconstruction speed remarkably. © Springer India 2014.

关键词： Newton-Raphson method

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