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High-Performance Computing (HPC) design to improve the quality of Introduction of Parallel Computing lectures

IOP Conference Series: Materials science and engineering 2019年第1期462卷

作者： E Alfianto A Sa'diyah F Rusydi I Puspitasari Dep. of Computer System Institut Teknologi Adhi Tama Surabaya Jl Arif Rachman Hakim 100 Surabaya Indonesia. 60111 Dep. of Marine Engineering Politeknik Perkapalan Negeri Surabaya Jl Jalan Teknik Kimia Kampus ITS-Sukolilo Surabaya Indonesia 60117 Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of the information system Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115

High-Performance Computing (HPC) has been created to improve the quality of Pengantar Komputasi Parallel lectures. HPC consists of two PCs with AMD Ryzen 7 processor connected by high-speed LAN. HPC is used to solve problems that students can't practice Parallel Computing because the computer used is not adequate. So it takes a machine that can used together that has many processors, so the problems encountered are resolved. The results obtained, participants can use more than four processors to solve tree problems directly.

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A user's intention detection method for smart walker

A user's intention detection method for smart walker

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International Conference on Awareness science and Technology (iCAST)

作者： Wen-Chang Cheng Yan-Zhi Wu Dep. of Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan

To assist home care for the elderly, we've finished a smart walker in previous study, with the features including destination track navigation, obstacle detection, self-positioning, follow-up, and wireless inductive charging. In this study, we further finish the user's intention detection function on the smart walker to control the smart walker. We install 3 pressure sensors on both sides of smart walker handles respectively to extract the user's force application, which are taken as input signal. Through AdaBoost classifier, it finishes input signal recognition and controls of the smart walker moving forward/backward directly. The user doesn't need to press the switch or click on the panel, but apply force on the handle directly, which makes the operation easier. The experiment validates that the accuracy can achieve higher than 98%, which can simplify the operation effectively and achieve the practical purpose.

关键词： Pressure sensors Training Error analysis Senior citizens Force Elevators

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A secure mutual trust scheme for wireless sensor networks

A secure mutual trust scheme for wireless sensor networks

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Alan Dahgwo Yein Chih-Hsueh Lin Wen-Shyong Hsieh Dep. of Information Management Shu-Te University Taiwan Dep. of Computer and Communication Shu-Te University Kaohsiung Taiwan Dep. of Computer Science and Engineering National Sun Yat-sen University Taiwan

ISBN: (纸本)9781509014132

In this paper, we propose a secure mutual trust scheme based on the concept of chameleon hash function, for wireless sensor networks (WSNs). In the proposed scheme, the base station (BS), holding two common secrets, issues an identity to every dep.oyed sensor node. An identity contains a public data and a private key. The public data is used to present a node, and the private key is used to make mutual trust keys with other node's public data. A public data can be used in verifying the legitimacy of the node. The mutual trust key is the evidence that a node owns the related public data. At any time, or after finding malicious nodes or dep.oying new nodes, BS will broadcast new group key to all sensor nodes by multiple hopping. Following the group key broadcasting and rebroadcasting, the still-legal nodes can set new information in their public data, private key, hop counters, public parameters, and neighbor nodes set, which contains the public data and hop counter of its neighboring nodes. Based on the new information, a sensor node can make the mutual trust keys with its neighboring nodes to do message authentication and secure communicating, or to set up a secure path to forward the sensed information to BS by multiple relaying. The security analysis shows that the proposed scheme can revoke the right of malicious sensor nodes, dep.oy new sensor nodes, and work well under malicious attacking. As the result of performance comparison, the proposed secure scheme is superior to the related works.

关键词： Wireless sensor networks Public key Receivers Broadcasting Radiation detectors Message authentication Elliptic curves

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A fully recursive perceptron network architecture

A fully recursive perceptron network architecture

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Markus Hagenbuchner Ah Chung Tsoi Franco Scarselli Shu Jia Zhang School of Computing and IT University of Wollongong Wollongong Australia Dep. of Computer Science University of Wollongong Tuen Mun Wollongong Australia Dep. of Information Engineering University of Siena Siena Italy

This paper introduces a fully recursive perceptron network (FRPN) architecture as an alternative to multilayer perceptron (MLP) with multiple hidden layers networks, popularly known as deep neural networks. The FRPN consists of an input layer, an output layer, and only one hidden layer in which the hidden layer neurons are fully connected with algebraic (instantaneous) connections, and not delayed connections. The FRPN is particularly attractive as an alternative to deep MLP since the FRPN eliminates the need of obtaining the number of hidden layers and the number of neurons per hidden layer. Some insight into the operational mechanisms of the FRPN is obtained through an application to a practical learning problem, viz., the handwritten digit recognition problem.

关键词： Neurons Biological neural networks Training Recurrent neural networks computer architecture Australia Learning systems

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A new predictive approach to variables selection through Genetic Algorithm and Fuzzy Adaptive Resonance Theory Using medical diagnosis as a case

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Procedia computer science 2017年 109卷 448-457页

作者： Choukri Djellali Mehdi Adda Mathematics Computer Science and Engineering Dep. University of Quebec At Rimouski 300 Allée des Ursulines Rimouski QC G5L 3A1 Canada

Variables selection is challenging task due mainly to huge search space. This study addresses the increasingly encountered chal- lenge of variables selection. It addresses the application of machine learning techniques to the problem of variables selection. We detailed the various models of the variables selection and examined the basic steps that are used to select the cost-effective predictors. We also walked through the initial settings and all variables selection stages, including architecture configuration, strat- egy generation, learning, model induction, and scoring. Results from this study show that the cost and generalization were seen to improve significantly in terms of computing time and recognition accuracy when the proposed system is applied for medical diagnosis. Good comparisons with an experimental study demonstrate the multidisciplinary applications of our approach.

关键词： Data Mining Pattern Recognition Machine Learning Clustering Variables Selection Genetic Algorithm

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A new scalable aggregation scheme for fuzzy clustering taking unstructured textual resources as a case 16

A new scalable aggregation scheme for fuzzy clustering takin...

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20th International Database engineering and Applications Symposium, IDEAS 2016

作者： Djellali, Choukri Adda, Mehdi Mathematics Computer Science and Engineering Dep. University of Quebec at Rimouski Rimouski Canada

ISBN: (纸本)9781450341189

The performance of clustering is a crucial challenge, especially for pattern recognition. The models aggregation has a positive impact on the efficiency of Data clustering. This technique is used to obtain more cluttered decision boundaries by aggregating the resulting clustering models. In this paper, we study an aggregation scheme to improve the stability and accuracy of clustering, which allows to find a reliable and robust clustering model. We demonstrate the advantages of our aggregation method by running Fuzzy C-Means (FCM) clustering on Reuters-21578 corpus. Experimental studies showed that our scheme optimized the bias-variance on the selected model and achieved enhanced clustering for unstructured textual resources. © ACM 2016.

关键词： Fuzzy clustering

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General Quantized Innovation Kalman Filter for Stochastic Uncertain Systems with Random Packet Dropouts

General Quantized Innovation Kalman Filter for Stochastic Un...

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Youth Academic Conference of Chinese Association of Automation

作者： Huai min Li Qiang Ling School of Computer and Information Engineering Fuyang Normal University Fuyang 236037 China Dep. of Automation University of Science and Technology of China Hefei 230027 China

ISBN: (纸本)9781538629024

Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor networks (WSNs). This paper studies the problem of the general quantized innovation filtering with random packet dropouts for linear stochastic uncertain systems. The multiplicative uncertainty of system parameters is first converted into additive noises. Then under the Gaussian assumption on the predicted density, the Lloyd-Max quantizer, a general quantized innovation filter with random packet dropouts in the linear minimum mean square error (LMMSE) sense is derived based on the projection theory and Bayes Rule. Furthermore a sufficient condition is provided, under which a general quantized innovation filter with random packet dropouts can be reduced into a standard Kalman filter. An example is simulated to illustrate the effectiveness and correctness of the designed filter.

关键词： General Quantized Innovation Filter Stochastic Uncertain System Packet Dropouts

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Performance characterization of image feature detectors in relation to the scene content utilizing a large image database

arXiv

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arXiv 2017年

作者： Ferrarini, Bruno Ehsan, Shoaib Leonardis, Ales Rehman, Naveed Ur McDonald-Maier, Klaus D. University of Essex School of Computer Science and Electronic Engineering ColchesterCO4 3SQ United Kingdom Dep. of Electrical Engineering COMSATS Institute of Information Technology Islamabad Pakistan School of Computer Science University of Birmingham Birmingham United Kingdom

Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research. Although the literature offers a variety of comparison works focusing on performance evaluation of image feature detectors under several types of image transformations, the influence of the scene content on the performance of local feature detectors has received little attention so far. This paper aims to bridge this gap with a new framework for determining the type of scenes which maximize and minimize the performance of detectors in terms of repeatability rate. The results are presented for several state-of-the-art feature detectors that have been obtained using a large image database of 20482 images under JPEG compression, uniform light and blur changes with 539 different scenes captured from real-world scenarios. These results provide new insights into the behavior of feature detectors. Copyright © 2017, The Authors. All rights reserved.

关键词： Feature extraction

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Toward Service Aggregation for Edge Computing

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Procedia computer science 2016年 94卷 424-428页

作者： Jabril Abdelaziz Mehdi Adda Hamid Mcheick Mathematics and Computer Science Dep. University of Quebec at Chicoutimi Chicoutimi (Qc) Canada Mathematics Computer Science and Engineering Dep. University of Quebec at Rimouski Rimouski (Qc) Canada

Interoperability is one of crucial Internet-related research domains. Today, there is a shift in the architecture of the Internet and the traditional communication model; the human part in machine communication is blurring into a more sophisticated thing-to-thing communication model. In this model things search for other things and provide collaboration-base services, this way leading to more complex interaction issues. Especially, interoperability must transcend the use of protocols and include semantic to make the different building blocks of the Internet of Things (IoT) work together and exploit the maximum of it. Hence, we present our vision and concept of a multilayer model for IoT infrastructure to: abstract the data sources infrastructure, define filtering and formatting mechanisms, and to present pertinent data in the form of simple unitary or aggregation of multiple services.

关键词： IoT fog computing thing-to-thing communication service composition

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Optimal placement of landmarks for indoor localization using sensors with a limited range

Optimal placement of landmarks for indoor localization using...

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Payam Nazemzadeh Daniele Fontanelli David Macii Dep. of Information Engineering and Computer Science University of Trento Trento Italy Dep. of Industrial Engineering University of Trento Trento Italy

ISBN: (纸本)9781509024261

Indoor positioning often requires detecting and recognizing ad-hoc landmarks or anchor points with known coordinates and/or a given orientation within a given reference frame. Typically, the available kind of sensors and their detection area determine the landmark features and position. Of course, an excessive use of landmarks pose serious scalability and cost issues, whereas, on the other hand, a too-low amount of dep.oyed landmarks may create areas where agent's position is hard to track or localization accuracy drops. In addition, often sensors are not omni-directional. In this paper, the optimal placement problem of landmarks detected by sensors with a limited detection area is addressed in the general case of wide-open, ideally unbounded, rooms. First, landmarks placement optimization is performed numerically. Then, a closed-form expression of the optimal distance between landmarks on a regular pattern is determined as a function of both the reading range and the directional properties of the sensor considered. Finally, the performances of the chosen placement strategy in more realistic indoor environments (i.e. consisting of multiple rooms with obstacles therein) are evaluated through simulations assuming, without loss of generality, that a wheeled robot equipped with a front camera adjusts its own position by detecting suitable visual landmarks.

关键词： Lattices Robot sensing systems Cameras Optimization RFID tags

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