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检索条件"主题词=Software Algorithms"

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Comparison of Ant Colony Optimization and Artificial Bee Colony algorithms for Solving Electronic Support Search Dwell Scheduling Problem

Comparison of Ant Colony Optimization and Artificial Bee Col...

引用

software Engineering Symposium (UYMS), Turkish National

作者： Okan Erkut Fırat Hardalaç The Facility of Radar And Electronic Warfare Systems ASELSAN A.S. Ankara Turkey Gazi University Ankara Turkey

ISBN: (纸本)9781665410717

Electronic support search dwell scheduling is a combinatorial optimization problem which appears when the dwells overlapping on frequency domain are assigned to different receivers and required to be executed simultaneously by the receivers that are on a single electronic support platform. Overlapping the dwells on time domain provides sensor fusion ability and improves the detection performance of the system against target radar systems. In this paper, dwell sets of the receivers are scheduled to solve electronic support search dwell scheduling problem with two meta-heuristic swarm intelligence algorithms: Ant Colony Algorithm and Artificial Bee Colony Algorithm. Simulation results show that while both algorithms are capable of solving the problem, Ant Colony Algorithm provides a solution roughly 43% faster with a limit on number of iterations and Artificial Bee Colony Algorithm provides roughly 30% quicker and 26% more consistent solution with a limit on maximum acceptable cost.

关键词： Ant colony optimization Costs Processor scheduling software algorithms Receivers Artificial bee colony algorithm Search problems

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Intelligent algorithms for Dynamic Spectrum Access a Secondary User in Cognitive Radio Systems

Intelligent Algorithms for Dynamic Spectrum Access a Seconda...

引用

Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)

作者： E. O. Kandaurova D. S. Chirov Moscow Technical University of Communications and Informatics Moscow Russia

Recently, there have been problems in the development of new technologies and communication services in the field of telecommunications. The main problem is the deficit of a radio frequency spectrum. Research by measuring companies has shown that licensed users do not use the radio frequency resource efficiently enough. Therefore, the development of cognitive radio systems is currently one of the most intensively studied areas. Cognitive radio systems use dynamic spectrum access technology to solve the problem from a radio deficit spectrum. In previous works, the authors analyzed methods for implementing dynamic access technology for cognitive radio systems. The analysis allowed the authors to propose an algorithm for dynamic spectrum access based on spectrum occupancy models. Also in subsequent works, the first stage of the proposed algorithm was described in detail and the issues of practical implementation of the algorithm were considered. This work is a continuation of the cycle of works of the authors and is aimed at developing an effective algorithm for providing a frequency resource at the request of a secondary user. In the work, two algorithms have been developed and described for providing a free part of the spectrum to a secondary user. The difference between the developed algorithms lies in the approaches to representing and interacting with the original matrix of the spectrum occupancy state. To compare the performance of the algorithms, two types of experiments were carried out. The results of the experiments made it possible to choose the more effective of the two proposed algorithms for providing a frequency resource to a secondary user. The results of the experiments showed that the user needs to send a request to search for a free part of the spectrum at least 6.54ms before the start of the session. Thus, this work contributes to the task of developing a technology for dynamic spectrum access in cognitive radio systems, to solve the problem deficit

关键词： Analytical models Heuristic algorithms software algorithms Dynamic spectrum access Telecommunications Cognitive radio Sparse matrices

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E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device

E3: A HW/SW Co-design Neuroevolution Platform for Autonomous...

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IEEE International Symposium on Performance Analysis of Systems and software

作者： Sheng-Chun Kao Tushar Krishna Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

ISBN: (纸本)9781728186436;9781728186443

The true potential of AI can be realized once we move beyond supervised training using labelled datasets on the cloud to autonomous learning on edge devices. While techniques like Reinforcement Learning are promising for their autonomous learning ability, they exhibit high compute and memory requirements due to gradient computations, making them prohibitive for edge deployment. In this paper, we propose E3, a HW/SW co-designed edge learning system on a FPGA. E3 uses a gradient-free approach called neuro-evolution (NE) to evolve the neural network (NN) topology and weights dynamically. The NNs evolved using NE are highly irregular, and a population of such NNs need to be evaluated quickly in order for the NE algorithm to make progress. To address this, we develop INAX, a specialized accelerator inside E3 for efficient irregular network computation. INAX leverages multiple avenues of parallelism both within and across the evolved NNs. E3 shows averaged 30× speedup than CPU-based solution across a suite of OpenAI environments.

关键词： Training Memory management software algorithms Sociology Artificial neural networks Inference algorithms software

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Dynamic Key Generation Mechanism to Strengthen the Data Security

Dynamic Key Generation Mechanism to Strengthen the Data Secu...

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International Carnahan Conference on Security Technology

作者： J.S. Prasath Deepa Jose B. Rammyaa R. Pandian KCG College of Technology Chennai TamilNadu India Sathyabhama Institute of Science and Technology Chennai

ISBN: (纸本)9781665499897

Information Technology (IT) networks are susceptible to varieties of intrusions. Data communication through industrial networks needs to be protected from unauthorized access. The number of attacks increases rapidly due to the wide range of network operations. Industrial networks provide a connection between servers and control devices, which are located at the plant. The security attacks rises due to the wide usage of internet for accessing and monitoring the plant information. It is essential to preserve data communication in process monitoring and control operations. This proposed work is the novel dynamic key generation algorithm that generates different keys each time during the process of encoding. The security mechanism is developed that enhances the security and protects the information from unauthorized access. This security algorithm is developed and simulated using MATLAB software. This proposed cryptographic algorithm can perform encryption of the infinite number of bytes which provides additional network security. It can be applicable for securing the sensitive process parameters in industrial operations.

关键词： Ciphers Heuristic algorithms software algorithms Public key software Encryption Safety

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A Hypothesis Testing tool for the comparison of different Cyber-Security Mitigation Strategies in IoT

A Hypothesis Testing tool for the comparison of different Cy...

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IOT, Electronics and Mechatronics Conference (IEMTRONICS), IEEE International

作者： Asterios Mpatziakas Stavros Papadopoulos Anastasios Drosou Dimitrios Tzovaras Information Technologies Institute Centre for Research and Technology (CERTH) Thessaloniki Greece

Internet of Things (IoT) is a field with tremendous growth that already shows great impact in numerous domains. Simultaneous with this development is the need for better Cyber-security: IoT systems are attacked by various adversaries targeting IoT services, platforms and networks, which can have disruptive consequences. These attacks can be countered using multiple strategies with different effects to the system. The following paper, proposes a novel approach based on Machine Learning and Statistical Hypothesis Testing, which allows the security operator to investigate how using different strategies affects various KPI related to the security of the IoT network and if the KPI resulting from modifications to a mitigation strategy are statistically different when compared to those occurring from a starting mitigation action set.

关键词： Mechatronics Visual analytics software algorithms Machine learning Tools Internet of Things Security

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Release of Trajectory Data based on Space Segmentation using Differential Privacy

Release of Trajectory Data based on Space Segmentation using...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Yongxin Zhao Wanqing Wu Chaofan Di School of cyber security and computer Hebei University Baoding China

ISBN: (纸本)9781665416597

The applications of location-based services(LBS) are increasingly important in people's daily life. However, these services may lead to privacy leakage, which causes more and more users to worry about privacy issues. Although the differential privacy technology has solved some location privacy problems, most of the current models are still unable to resist complex background-knowledge attacks. In this paper, we propose a novel approach to protect privacy for trajectory based on prefix tree. Firstly, we use the Hilbert curve to split the trajectory position points which the optimal divisions are selected by the index mechanism, and obtain the center point of each area. Secondly, we build a noisy prefix tree to store location points, it should be noted that the nodes of the tree store the polymerization location points. Finally, an arithmetic distribution method is applied to the privacy budget, meanwhile the amount of noise is limited by a threshold. The proposed algorithm is compared with related algorithm on the original dataset. Experimental results show that the algorithm proposed in this paper improves data availability while ensuring data privacy.

关键词： Privacy Differential privacy Publishing Soft sensors software algorithms Vegetation Resists

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Custom TTA Operations for Accelerating Kyber Algorithm

Custom TTA Operations for Accelerating Kyber Algorithm

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International Conference on Electrical and Electronics Engineering, ELECO

作者： Latif Akcay Berna Ors Bayburt University Bayburt Turkey Electronics and Communication Engineering Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9781665409407

In recent years, quantum computer development projects have progressed considerably in terms of quality and quantity. These studies also pose a serious risk for widely used security systems based on classical public-key cryptography algorithms. Therefore, development of hardware and software applications that use post-quantum methods are considered a necessity both for today and for the future. Kyber is one of the most promising key encapsulation mechanism in the final round of NIST post-quantum cryptography standardization process. In this study, we present a 64-bit application specific transport triggered architecture processor which has custom operations for accelerating the Kyber algorithm. Moreover, we compare the processor and its various versions with a 64-bit RISC-V core in terms of performance, total energy consumption and resource utilization. According to the test results, our custom processor provides at least 2x better performance and 1.5x lower energy consumption while increasing the required chip area approximately 1.4x.

关键词： Energy consumption Scalability software algorithms Standardization NIST Approximation algorithms software

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A Systematic Review of Techniques, Tools and Applications of Machine Learning

A Systematic Review of Techniques, Tools and Applications of...

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), International Conference on

作者： Abhishek Abhishek Dhankar Neha Gupta Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (数字)9781665419604

ISBN: (纸本)9781665429986

Machine Learning is a part of Artificial Intelligence. A branch of artificial Intelligence(AI), that offers the capability to the system by learning on their own and work better from experience without human intervention. By using machine learning (ML), software applications become more precise for outcome prediction with no requirement of explicit programmed. Machine learning has a fundamental concept i.e. building of algorithms for accepting input data and with the help of statistical analysis they can predict the output. Nowadays, machine learning has gained vast popularity, and its algorithms are used in every field like object detection, pattern recognition, text interpretation, and different research areas. One of the basic goals of machine learning is to teach computers to use the data to solve a particular problem. A fair range of machine-learning applications include e-mail classification training to distinguish spam from non-spam messages, fraud detection, etc. This paper aims at varied machine learning methods, algorithms, and tools required to run the machine learning projects. It also focuses on the advancements that are administered in order so that the current researchers can be benefited out of it.

关键词： Machine learning algorithms Unsolicited e-mail software algorithms Machine learning Tools Prediction algorithms Classification algorithms

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Inspection Code Generator for Hole Cylindrical Feature Evaluation in On-Machine Measurement Process for Computer-Aided Inspection Planning

Inspection Code Generator for Hole Cylindrical Feature Evalu...

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Computer Science and Engineering (IC2SE), International Conference on

作者： Yogi Muldani Hendrawan Andri Pratama Herman Budi Harja Muhammad Udin Harun Al Rasyid Idris Winarno Politeknik Manufaktur Bandung Bandung Indonesia Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

ISBN: (纸本)9781665400473

In this paper, the development of inspection code generator for hole cylindrical feature evaluation is reported. The development process aims to enable on-machine measurement process through Computer Aided Inspection Planning (CAIP) software. A CNC machine equipped with touch probe measuring tool is utilized in this research as an object for On-Machine Measurement (OMM) System. The hole feature as measurement object were defined from feature recognition process. An algorithm to construct inspection path planning was developed according to hole feature measurement point. Inspection path planning define touching point, retract point, clearance ratio, and retract distance from the measurement point. The inspection path planning is transformed into inspection code based on Heidenhain iTNC 30i controller code standard. The Inspection code were experimentally executed in the DMG 50U CNC Machine to validate the path planning. Renishaw touch probe were used to measure the hole feature dimension and position. The OMM result was compared to the vernier and measurement result. The experiment result shows that the proposed method has accurate equal inspection result to the vernier.

关键词： Codes software algorithms Inspection Feature extraction Path planning Generators Planning

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Personalized Models in Human Activity Recognition using Deep Learning

Personalized Models in Human Activity Recognition using Deep...

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International Conference on Pattern Recognition

作者： Hamza Amrani Daniela Micucci Paolo Napoletano University of Milano - Bicocca Milan Italy

Current sensor-based human activity recognition techniques that rely on a user-independent model struggle to generalize to new users and on to changes that a person may make over time to his or her way of carrying out activities. Incremental learning is a technique that allows to obtain personalized models which may improve the performance on the classifiers thanks to a continuous learning based on user data. Finally, deep learning techniques have been proven to be more effective with respect to traditional ones in the generation of user-independent models. The aim of our work is therefore to put together deep learning techniques with incremental learning in order to obtain personalized models that perform better with respect to user-independent model and personalized model obtained using traditional machine learning techniques. The experimentation was done by comparing the results obtained by a technique in the state of the art with those obtained by two neural networks (ResNet and a simplified CNN) on three datasets. The experimentation showed that neural networks adapt faster to a new user than the baseline.

关键词： Deep learning Performance evaluation Adaptation models Neural networks Transfer learning software algorithms Activity recognition

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