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An Efficient Lion Optimization Based Cluster Formation and Energy Management in WSN Based IoT 2nd

An Efficient Lion Optimization Based Cluster Formation and E...

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2nd international conference on Intelligent Computing and Optimization, ICO 2019

作者： Yuvaraj, D. Sivaram, M. Mohamed Uvaze Ahamed, A. Nageswari, S. Department of Computer Science Cihan University - Erbil Kurdistan Region Erbil Iraq Department of Computer Science Cihan University - Duhok Kurdistan Region Duhok Iraq Department of Computer Networking Lebanese French University - Erbil Kurdistan Region Erbil Iraq Department of Computer Science and Engineering Bhararh Niketan Engineering College Theni India

ISBN: (纸本)9783030335847

For the past few decades, Wireless sensor networks (WSNs) disseminate less expensive sensor nodes (SN’s) in its area, where nodes plays significant role in Internet of Things (IoT). WSN based IoT, nodes are generally resource constraints in numerous ways, like energy, storage, computing resources and so on. Effectual routing protocols (RP) are essential for longer lifetime and to attain superior energy utilization. Here, a novel energy efficient k- centroid Lion optimization based routing protocol (kEE-LOP) to enhance network performance. Anticipated kEE-LOP comprises three essential factors: distributed behaviour of lion based cluster formation technique to facilitate nodes organization, novel algorithm for constructing adaptive clusters based on lion migration and k-nodes centroid based cluster head rotation to distribute load to all sensor nodes eventually, thereby a novel mechanism for reducing energy utilization for distance communications. In specific, residual energy of nodes is measured with kEE-LOP for long distance communication. Specifically, nodes’ residual energy is measured as kEE-LOP for computing CH centroid’s position. simulation results specifies kEE-LOP outperforms superior than LEACH, LEACH-C. As well as, kEE-LOP is more appropriate for networks that is essential for longer lifetime. © 2020, Springer Nature Switzerland AG.

关键词： Internet of things

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Performance Analysis of Least Significant Bit Based Watermarking Technique under Various Types of Attacks 2

Performance Analysis of Least Significant Bit Based Watermar...

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2nd international conference of Modern Applications on Information and Communication Technology, ICMAICT 2020

作者： Hasan, Afkar Ali Jawad, Majid Jabbar Naser, Mohammed Abdullah Computer Science Department College of Science for Women University of Babylon Babil Iraq

Digital information transferred through internet should be protection from unauthorized and attack resource using one of the information security system method, one of these methods was digital watermarking was used in order to prevent information from various types of attack adversary since it satisfies all security system requirements (authentication, integrity and confident). Digital watermarking is used digital image for several purposes such as authentication, copyright, and many purposes. This paper we embedded (number of bits) MSB of watermark image in the (number of bits) LSB of cover image by proposed embedding algorithm, where the ratio of appearing information of the watermark in the watermarked image depends on a number bits embedded. Such that increasing the number bits increase the information display. The performance of the algorithm for watermarking and quality of reconstructed image have been measured in terms of MSE and PSNR. This paper produced performance analysis of image watermarking technique depend on least significant bit against several attacks (Gaussian, salt and pepper noise, Poisson and Speckle). The result of the attack appears that salt and pepper attack give best result than other types when it applied on the original image and watermarked image. simulation results show that best results were achieved against Salt and Pepper attack in terms of less MSE and high PSNR. MATLAB language is used for implementing the suggested algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Mean square error

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A Survey of Continuous Collision Detection

A Survey of Continuous Collision Detection

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Information Technology and computer Application (ITCA), international conference on

作者： Quan Nie Yingfeng Zhao Li Xu Bin Li National Key Laboratory of Science and Technology on Vacuum Electronics University of Electronic Science and Technology of China Chengdu China

Continuous collision detection (CCD) is a key technology in the field of virtual surgery, cloth simulation and robot motion planning. It can accurately detect the first time of contact between objects and returns collision information such as penetration depth, friction and repulsive force, etc., have a wide range of application and important research value. By analyzing the processing framework of continuous collision detection algorithm in detail, the current research status of continuous collision detection is systematically reviewed from perspectives of two phases respectively. In broad-phase, the recent achievements of space decomposition and sweep and prune are introduced. In narrow-phase, the research status of intelligent optimization based algorithm and image-space based algorithm is illustrated. Besides, the development of bounding volume hierarchy (BVH) is analyzed and discussed. After that, the performance and innovative achievements of self-collision detection in deformable objects are summarized and analyzed. Finally, the challenges and future trends of algorithm research are pointed out.

关键词： Robot motion Friction Force Surgery computer applications Market research Planning

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Performance Analysis of SWIPT System with Imperfect Channel State Information 2

Performance Analysis of SWIPT System with Imperfect Channel ...

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2nd international conference on computer, Big Data and Artificial Intelligence, ICCBDAI 2021

作者： Zhang, Chenxi Meng, Chao Yang, Yu Gao, Yan School of Networks and Telecommunications Engineering Jinling Institute of Technology Nanjing211169 China College of International Education Jinling Institute of Technology Nanjing211169 China

This paper studies the system performance of the multiple-input-single-output (MISO) system using simultaneous wireless information and power transfer (SWIPT) technology under imperfect channel state information. A power split strategy is used in the receiver, which divides the received radio frequency (RF) signal into two parts, one part is directly used for signal decoding, and the other part is used as energy harvesting. This paper studies the optimization of system channel capacity under the constraints of harvested energy and the transmission rate. The resulting optimization problem is a two-layer non-convex optimization one, which is simplified by Cauchy-Schwarz inequality. Through the linear search of the energy division ratio in its value range, it becomes a one-dimensional optimization problem only related to the transmission power, which can be solved by CVX. The simulation results verify the effectiveness of the algorithm. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Energy transfer

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Permutation Tests for Two-Sample Means of High-dimensional Data

Permutation Tests for Two-Sample Means of High-dimensional D...

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Information Technology and computer Application (ITCA), international conference on

作者： Jing Yang Bo Chen Quan Nie School of Mathematical Sciences UESTC University of Electronic Science and Technology of China Chengdu China School of Electronic Science and Engineering UESTC University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665403788;9781665447430

The generation of high-dimensional data has led people to research permutation tests. Permutation tests are widely used in practice, but unduly strong conditions are often required for its validity. In this paper, we use a modified statistic which calls for only marginal standardization, and calculate the test statistics using pseudo samples that are generated through the Bootstrap method. We show that the corresponding permutation test is consistent under mild conditions. By comparing with some existing methods are made by simulation, the use of permutation tests for two sample means in high dimensional settings has better performance.

关键词： Computational modeling Standardization computer applications Information technology

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5th international Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the 3rd international Workshop on Security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer Security, ESORICS 2019

5th International Workshop on Security of Industrial Control...

引用

5th international Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the 3rd international Workshop on Security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer Security, ESORICS 2019

ISBN: (纸本)9783030420475

The proceedings contain 27 papers. The special focus in this conference is on Security of Industrial Control Systems and Cyber-Physical Systems. The topics include: ADIoT 2019 preface;anomaly detection for industrial control systems using sequence-to-sequence neural networks;a conceptual redesign of a modelling language for cyber resiliency of healthcare systems;shaping digital identities in social networks: Data elements and the role of privacy concerns;GDPR compliance: Proposed technical and organizational measures for cloud providers;on the applicability of security and privacy threat modeling for blockchain applications;privacy, security, legal and technology acceptance requirements for a gdpr compliance platform;uncertainty-aware authentication model for IoT;From ISO/IEC 27002:2013 information security controls to personal data protection controls: Guidelines for GDPR compliance;on the trade-off between privacy and utility in mobile services: A qualitative study;analysis of automation potentials in privacy impact assessment processes;an insight into decisive factors in cloud provider selection with a focus on security;reflective attenuation of cyber-physical attacks;discrete event simulation of jail operations in pursuit of organizational culture change;a basic theory of lightweight hierarchical key predistribution scheme;adversarial examples for hardware-trojan detection at gate-level netlists;selective forwarding attack on IoT home security kits;Denial-of-service attacks and countermeasures in the RPL-based internet of things;Study of DNS rebinding attacks on smart home devices;Anomaly detection in the HVAC system operation by a radviz based visualization-driven approach;secure location verification: Why you want your verifiers to be mobile;Distributed UCON in CoAP and MQTT protocols.

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Wheeled Mobile Robot Trajectory Planning Using Evolutionary Techniques 2nd

Wheeled Mobile Robot Trajectory Planning Using Evolutionary ...

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2nd international conference on Future Learning Aspects of Mechanical Engineering, FLAME 2020

作者： Ramabalan, S. Sathiya, V. Chinnadurai, M. Department of Mechanical Engineering E.G.S. Pillay Engineering College Nagapattinam Tamil Nadu611002 India Department of Electronics and Communication Engineering E.G.S. Pillay Engineering College Nagapattinam Tamil Nadu611002 India Department of Computer Science and Engineering E.G.S. Pillay Engineering College Nagapattinam Tamil Nadu611002 India

ISBN: (纸本)9789811599552

This paper proposes two multi-objective trajectory planning optimization algorithms, namely, Multi-objective differential evolution (MODE) and Elitist Non-dominated sorting genetic algorithm (NSGA-II). They are applied for a differential drive wheels mobile robot (DDWMR). A cubic NURBS curve is utilized to constitute the mobile robot’s path. The objective functions considered are travel time, traveled length, and actuators efforts. All objective functions are to be minimized. The constraints considered are mobile robot’s kinematic limits, obstacle avoidance, and dynamic limits. Two stationary and five moving obstacles are present around the robot. Numerical simulation results are examined and compared. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Differential drive MODE NSGA-II NURBS Optimal trajectory WMR

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A Tele Encephalopathy Diagnosis Based on EEG Signal Compression and Encryption 2nd

A Tele Encephalopathy Diagnosis Based on EEG Signal Compress...

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2nd international conference on Advances in Cyber Security, ACeS 2020

作者： Abdulbaqi, Azmi Shawkat Nejrs, Salwa Mohammed Mahmood, Sawsan D. Panessai, Ismail Yusuf College of Computer Science and Information Technology University of Anbar Ramadi Iraq College of Science Department of Physics University of Misan Amarah Iraq College of Engineering University of Tikreet Tikrit Iraq Faculty of Arts Computing and Creative Industry Sultan Idris Education University Tanjong Malim Malaysia

ISBN: (纸本)9789813368347

A Telemedicine network that uses connectivity and information technology to transmit medical signals such as neurological signals Electroencephalography (EEG) has become a reality for medical services of long distances. In the monitoring of mobile healthcare, these signals need to be compressed for the efficient utilization of bandwidth and the confidentiality of these signals, where compression is a critical tool to solve storage and transmission problems and can then retrieve the original signal (OS) from the compressed signal. The objective of this manuscript is to achieve higher compression gains at a low bit rate while maintaining the integrity of clinical details and also encrypting the signal to keep it private, except for specialists. Thresholding techniques are utilized in the compression stage, the Discrete Wavelet Transform (DWT). Instead, Huffman Encoding (HuFE) is utilized for compression and EEG signal encryption with chaos. This manuscript addresses the encoding of EEG signals with consistency for Telemedicine applications. To test the proposed method, overall compression and reconstruction (ComRec) time (T) was measured, the root mean square (RMSE), and the compression ratio (CR). Findings from the simulation show that the addition of HuFE after the DWT algorithm gives the best CR and complexity efficiency. The findings show that the consistency of the reconstructed signal (Rs) is maintained at a low PRD while yielding better findings in compression. Utilizing the DWT as a loss compression algorithm followed by the HuFE as a lossy compression algorithm, CR = 92.9% at RMS = 0.16 and PRD = 5. 4131%. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Discrete wavelet transforms

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Product Fraud Judgment Based on Random Forest Model

Product Fraud Judgment Based on Random Forest Model

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Information Technology and computer Application (ITCA), international conference on

作者： JianPeng Huang Bo han Wei Cheng Ziang Zhou Ao Qu The University of Queensland Queensland Australia Chang'an University Xi’An China The Ohio State University Ohio United States Indiana University Bloomington Indiana United States Vanderbilt University Nashville United States

With the rise of IoT technology, more and more companies are using this technology for daily work production. The technology will generate a lot of data in the process of application. If the data can be used reasonably, it will help the company make better decisions. This paper is based on the random forest model to realize the judgment of fraudulent product behavior. Due to the large amount of data given by the material, we first perform feature engineering on the data to obtain processed data that can be used for modeling, and then use the random forest algorithm for data classification and regression. Experiments show that the accuracy of the random forest model is 98. 48. Compared with the logistic regression model and the naive Bayes model, it has better data classification and regression capabilities.

关键词： Computational modeling Companies Production computer applications Data models Classification algorithms Information technology

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Comprehensive evaluation and analysis of the culture of mining and metallurgy enterprises by combining the spherical network structure model constructed by the calculation algorithm

Comprehensive evaluation and analysis of the culture of mini...

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Information Technology and computer Application (ITCA), international conference on

作者： Qing Zhao Research center for Mining and Metallurgy culture and Socio-economic development in the Middle Reaches of Yangtze river Hubei Polytechnic University Huangshi China

Choosing a more scientific evaluation system can evaluate the cultural construction of an enterprise reasonably. With the development of science and technology, the integration of computers in all fields of various industries is inseparable. computer algorithms play an irreplaceable role in building various models. Mining and metallurgical enterprises have their own particularities. It is of theoretical and practical value to construct a system that can comprehensively evaluate mining and metallurgy culture through the processing of computer algorithms. Therefore, based on the characteristics of mining and metallurgy culture, this paper takes the corporate culture construction of China Pingmei Shenma Group as the research object and conducts a comprehensive evaluation. After comprehensive evaluation, two conclusions are drawn: one is that the cultural construction of the enterprise is relatively good; the other is that the spherical network structure model is verified to be feasible in the evaluation of cultural enterprise.

关键词： computers Industries Analytical models Computational modeling Buildings computer applications Metallurgy

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