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Primate swarm algorithm for continuous optimization problems

Primate swarm algorithm for continuous optimization problems

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Amarita Ritthipakdee Arit Thammano Department of Information Technology Phranakhon Rajabhat University Bangkok Thailand Faculty of Information Technology Computational Intelligence Laboratory Bangkok Thailand

ISBN: (纸本)9781509055050

In primate life, there are a number of various social behavior, such as communication among members in a group, and food sharing, which are vital to maintain their survival. Similar to those of Swarm Intelligence, such as ant colony optimization, the behavior of primates motivates us to develop an algorithm with the aim of solving continuous problems. Our algorithm is inspired by the behavior of the primate. The communication among them is studied and is also a key part in their food finding strategy. Our proposed algorithm developed upon the behavior is tested with twelve standard benchmark functions and most of which converged to the optimal value.

关键词： Optimization Benchmark testing Mathematical model Noise measurement convergence Algorithm design and analysis Particle swarm optimization

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Evaluating the Performance of "Derandomized-LShade" Algorithm on CEC 2014 Benchmark Functions

Evaluating the Performance of "Derandomized-LShade" Algorith...

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international conference on New Trends in computing Sciences (ICTCS)

作者： Raghda Hraiz Mariam Khader Mostafa Z. Ali Amjad Hudaib Computer Science Department Princess Sumaya University for Technology Amman Jordan

ISBN: (纸本)9781538605288

In this paper, a hybrid global optimization algorithm is proposed. The new algorithm Derandomized-LShade (DL-Shade), exploits derandomization characteristics of the Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) to enhance the performance of L-SHADE algorithm. The performance of DL-SHADE has been evaluated on the benchmark functions of CEC2014 Competition. Also, DL-Shade efficiency has been compared with L-SHADE and CMA-ES. Comparison results show that the proposed algorithm takes the good features from both algorithm and it was able to outperform both of them.

关键词： Sociology Statistics Optimization Algorithm design and analysis Benchmark testing convergence Search problems

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Genetic algorithm, particle swam optimization and differential evolution algorithm for optimal hydro generation scheduling

Genetic algorithm, particle swam optimization and differenti...

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international conference on ent computing and Control Systems (ICICCS)

作者： Sourav Choubey Electrical Engineering Department Shroff S.R. Rotary Institute of Chemical Technology Ankleshwar Gujarat

ISBN: (纸本)9781538639016

Optimum scheduling of hydro plants generation is of great importance to electric utilities. Hydro generation scheduling is a nonlinear programming problem. The nonlinearity is due to the generating characteristic of hydro plant, whose outputs are generally a non linear function of water discharge and net hydraulic head. Evolutionary algorithms are popular due to their low convergence time and high accuracy. In this paper the comparison of Particle swam optimization (PSO), Differential Evolution (DE) algorithm and Genetic Algorithm (GA) are use to show the optimal generation scheduling of hydro generation. The comparisons of these methods are shown for four generating plants of hydro here.

关键词： Genetic algorithms Reservoirs Optimization Sociology Statistics Power generation

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Low-Overhead Multihop Device-to-Device Communications in Software Defined Wireless Networks

Low-Overhead Multihop Device-to-Device Communications in Sof...

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international conference on Soft computing, Intelligent System and Information technology (ICSIIT)

作者： Riyanto Jayadi Yuan-Cheng Lai Department of Information Management National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781467399005

The growing massive number of user equipments (UE) is one issue that needs to be undertaken due to the development of Internet of Things. Device-to-device (D2D) communication and Software Defined Networks (SDN) are two promising technologies that can handle this challenge. Multihop D2D could be exploited as communication between devices while the routing is controlled via SDN. In this paper, we propose a wireless network architecture that exploits multihop D2D to provide effective and efficient communication between mobile devices in a network that are controlled via SDN techniques. We also propose five procedures for our proposed routing scheme, called low-overhead D2D routing (LODR). Several experiments are conducted to evaluate the performance of LODR. The simulation results show that the LODR produces less control overhead by 55% and faster convergence by 40% than previous work.

关键词： Device-to-device communication Routing Spread spectrum communication Wireless networks Relays Ports (Computers) Throughput

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Unsupervised Phase Extraction Using Dual Autoencoder

Unsupervised Phase Extraction Using Dual Autoencoder

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international conference on Advanced computing and Applications (ACOMP)

作者： Prayook Jatesiktat Wei Tech Ang School of Mechanical and Aerospace Engineering Nanyang Technology University Singapore

Phase assignment is usually a part of periodic time-series data processing which needs some manual labeling or a heuristic method for each specific type of signals. Our work uses an unsupervised learning method to make the phase identification process fully-automated and more universal. This method also allows flexibility of input data in the term of position variation and phase progression variation. Four synthetic periodic two-dimensional signals with different shapes are used to explore our method's learning capabilities and some limitations. The proposed method is also tested with an actual periodic movement sequence captured from a Kinect sensor. This method can learn the periodic pattern automatically from a noisy signal and assign correct phases.

关键词： Noise reduction Training data Data models Data mining Cost function convergence Feature extraction

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Power splitting for MIMO energy harvesting in multi-user networks

Power splitting for MIMO energy harvesting in multi-user net...

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international conference on Recent Advances in Signal Processing, Telecommunications & computing (SigTelCom)

作者： H. H. M. Tam H. D. Tuan A. A. Nasir T. Q. Duong University of Technology Sydney Sydney NSW AU Faculty of Engineering and Information Technology University of Technology Sydney Australia Department of Electrical Engineering King Fahd University of Petroleum and Minerals (KFUPM) Dhahran KSA Queen's University Belfast Belfast U.K.

ISBN: (纸本)9781509022922

We consider a multicell multi-user multiple-input-multiple-output (MU-MIMO) network and propose the efficient design of precoding matrices for the sum throughput maximization under throughput QoS constraints and energy harvesting (EH) constraints for energy-constrained devices in both downlink (DL) and uplink (UL) transmissions. We employ power splitting (PS) approach at the receiver to ensure practical EH and information decoding (ID). The considered practical problem is quite complex due to highly non-convex objective and constraints. Towards this end, we develop a new path-following algorithm for its solution, which just requires a convex quadratic program at each iteration and promises quick convergence.

关键词： Throughput Precoding Receivers Symmetric matrices MIMO Energy harvesting Optimization

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Personal data protection act enforcement with PETs adoption: An exploratory study on employees’ working process change 7th

Personal data protection act enforcement with PETs adoption:...

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7th international conference on IT convergence and Security, ICITCS 2017

作者： Gan, May Fen Chua, Hui Na Wong, Siew Fan Department of Computing and Information Systems Sunway University Subang Jaya Malaysia

ISBN: (纸本)9789811064531

It is often that personal data were being misused by organizations for their own benefits. To tackle this issue, different countries had introduced and enforced personal data protection regulations. With the enforcement, organizations in the relevant countries need to comply with the law enforcement to protect personal data as their legal responsibility. Privacy Enhancing Technologies (PETs) act as a form of technology that protects individual privacy data in organizations. The purpose of this research is to discover the impact of personal data protection act enforcement with PETs adoption on organization employees’ working experience and performance through the study of their working process change. This research adopts a qualitative single case study on one of the telecommunication companies in Malaysia. The targeted participants are employees come from different work nature, i.e., use personal data, process personal data or setup system to protect personal data. The finding of this research will enable organizations to have better understanding in future PETs adoption and provide insights on the measures to be taken to comply with personal data protection. This paper presents our preliminary results based on semi-structured interviews with 8 participants from different groups of work nature. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Data privacy

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Density and Transmission Power in Intelligent Wireless Sensor Networks

Density and Transmission Power in Intelligent Wireless Senso...

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international Wireless Communications and Mobile computing conference

作者： Michele Chincoli Stavros Stavrou Antonio Liotta Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands Open University of Cyprus Cyprus Data Science Centre University of Derby Derby UK

This paper covers the problem of interference generated by sensor nodes in Wireless Sensor Networks (WSNs). The interference affects the link quality of wireless communications, thus the Quality of Service (QoS) of Internet of Things (IoT) applications. The interference is the effect of the transmission of a cluster of nodes, at a certain power which is not always efficiently set, or calibrated. In addition, using unnecessary high power values impacts the waste of the node energy. Therefore, we address the interference problem by means of Transmission Power Control (TPC), for spatial reuse across the networks, which allows simultaneous point-to-point communications. Given the dynamics and unpredictability of the wireless channel, theoretical and empirical solutions are too slow, inefficient and memoryless for the problem we are facing. Our proposed protocol, QL-TPC, integrates reinforcement learning with game theory, within the IEEE 802.15.4 standard, at the MAC layer, to learn the combination of power levels per node, through indirect cooperation. The goal is to define the minimum transmission power, related to the density of the network, while respecting the QoS requirements and saving energy. QL-TPC is implemented in Atmel Zigbit, real world sensor devices, and is tested in a Faraday cage. We show the results, focusing on the aspect of reliability, energy efficiency, convergence and scalability. The nodes that use our protocol are estimated to have longer lifetime in order of months, while keeping same performance, than the homogeneous case.

关键词： Internet of things Wireless sensor network Machine learning Reinforcement learning Q-learning Transmission power control Density Interference IEEE 802.15.4 Testbed

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Does ideology affect the tone of international news coverage?

Does ideology affect the tone of international news coverage...

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international conference on Behavior, Economic and Social computing (BESC)

作者： Menglan Ma Peng Fang Jianbo Gao Changqing Song Institute of Complexity Science and Big Data Technology Guangxi University Guangxi China Faculty of Geographical Science Beijing Normal University Beijing China

ISBN: (纸本)9781538623671

Tone of a news report is intimately related to the topic of the article, and therefore can reflect the attitude of journalists or media. It is often thought that tone of news report, especially the international news, is affected by ideology. To test whether this is the case, we use GDELT (Global Database of Events, Language, and Tone) to compare the tone of international news reports among nine countries, the United States, Britain, Australia, Germany, China, Nigeria, Argentina, Zimbabwe and United Arab Emirates. We find that albeit international news reported by different countries differ significantly in event types, they nevertheless converge in tone. The former reflects the different preferences in content selection by each country, and thus reflect culture. The convergence in tone reflects the fact that reporters are not overly influenced by their respective ideology; rather they share to a large degree some universal values when covering international news.

关键词： Media Australia Complexity theory Big Data Electronic mail Databases Uniform resource locators

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Real-Time Lane Departure Warning System on a Lower Resource Platform

Real-Time Lane Departure Warning System on a Lower Resource ...

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Proceedings of the Digital Image computing: Technqiues and Applications (DICTA)

作者： Aman Irshad Anam Ahmad Khan Ibrar Yunus Faisal Shafait School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST)

Real-time lane detection and tracking is one of the most reliable approaches to prevent road accidents by alarming the driver of the excessive lane changes. This paper addresses the problem of correct lane detection and tracking of the current lane of a vehicle in real-time. We propose a solution that is computationally efficient and performs better than previous approaches. The proposed algorithm is based on detecting straight lines from the captured road image, marking a region of interest, filtering road marks and detecting the current lane by using the information gathered. This information is obtained by analyzing the geometric shape of the lane boundaries and the convergence point of the lane markers. To provide a feasible solution, the only sensing modality on which the algorithm depends on is the camera of an off-the-shelf mobile device. The proposed algorithm has a higher average accuracy of 96.87% when tested on the Caltech Lanes Dataset as opposed to the state-of-the-art technology for lane detection. The algorithm operates on three frames per second on a 2.26 GHz quad-core processor of a mobile device with an image resolution of 640×480 pixels. It is tested and verified under various visibility and road conditions.

关键词： Roads convergence Real-time systems Shape Image edge detection Algorithm design and analysis Machine learning algorithms

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