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检索条件"主题词=software algorithms"

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Hardware-software Prototyping of a Multichannel Frequency-Modulated Continuous Wave Radar

Hardware-Software Prototyping of a Multichannel Frequency-Mo...

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IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

作者： Alexander A. Fedotov Vitaly S. Andrianov Vladimir D. Kuptsov Sergei I. Ivanov Institute of Computer Sciences and Technologies Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia Institute of Electronics and Telecommunications Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia

ISBN: (数字)9798350388879

ISBN: (纸本)9798350388886

A hardware and software module of the FMCW radar based on the AWR1243BOOST prototyping board from Texas Instruments has been developed and implemented. It allows implementing the full range of functions of the AWR1243 radar chip. The results of experimental testing of the radar for measuring the range, speed and angle of the target are presented, confirming the possibility of creating prototypes of modern FMCW radars.

关键词： Semiconductor device measurement Radar measurements software algorithms Radar Radar antennas software Radar signal processing Antenna arrays Videos Testing

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Dataset: Copy-based Reuse in Open Source software

Dataset: Copy-based Reuse in Open Source Software

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International Mining software Repositories, MSR

作者： Mahmoud Jahanshahi Audris Mockus University of Tennessee Knoxville USA University of Tennessee Vilnius University Knoxville USA

ISBN: (数字)9798400705878

ISBN: (纸本)9798350363982

In Open Source software, the source code and any other resources available in a project can be viewed or reused by anyone subject to often permissive licensing restrictions. In contrast to some studies of dependency-based reuse supported via package managers, no studies of OSS-wide copy-based reuse exist. This dataset seeks to encourage the studies of OSS-wide copy-based reuse by providing copying activity data that captures whole-file reuse in nearly all OSS. To accomplish that, we develop approaches to detect copybased reuse by developing an efficient algorithm that exploits World of Code infrastructure: a curated and cross referenced collection of nearly all open source repositories. We expect this data will enable future research and tool development that support such reuse and minimize associated *** CONCEPTS•software and its engineering → software creation and management; • General and reference → Empirical studies.

关键词： Codes Source coding software algorithms Data mining Open source software

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MPC4RL - A software Package for Reinforcement Learning based on Model Predictive Control

MPC4RL - A Software Package for Reinforcement Learning based...

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IEEE Conference on Decision and Control

作者： Dirk Reinhardt Katrin Baumgärtner Jonathan Frey Moritz Diehl Sebastien Gros Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway Department of Microsystems Engineering University Freiburg Freiburg Germany

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this paper, we present an early software integrating Reinforcement Learning (RL) with Model Predictive Control (MPC). Our aim is to make recent theoretical contributions from the literature more accessible to both the RL and MPC communities. We combine standard software tools developed by the RL community, such as Gymnasium, stable-baselines3, or CleanRL with the acados toolbox, a widely-used software package for efficient MPC algorithms. Our core contribution is MPC4RL, an open-source Python package that supports learning-enhanced MPC schemes for existing acados implementations. The package is designed to be modular, extensible, and user-friendly, facilitating the tuning of MPC algorithms for a broad range of control problems. It is available on GitHub.

关键词： Training software packages software algorithms Reinforcement learning Prediction algorithms Libraries software tools Tuning Standards Predictive control

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A Method Based on Intellectual Technologies of Data Interoperability Between software Tools

A Method Based on Intellectual Technologies of Data Interope...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Andreas Winter Oybek Allamov Babajanov Boburbek Qodirov Fakhriddin Khujamuratov Bekmurod Shakhlo Allamova Software Engineering Group Carl von Ossietzky University Oldenburg Oldenburg Germany Software Engineering department Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan Teacher of Software Engineering Urgench Branch of Tashkent University of Information Technology named after Muhammad al Khwarizmi Urgench Uzbekistan

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

The article explores the potential for exchanging information between software tools using the KNIME program. It provides recommendations on utilizing data preprocessing models, methods, and algorithms for data sharing, and offers examples to illustrate these concepts. The article also discusses the capabilities of KNIME for exchanging information between software tools without the need for coding, such as analyzing and sharing data between databases and making predictions based on the data. The article specifically addresses the issue of geo-location of scooters in use in smart cities and the distribution of scooters over a certain period of time. This includes the number of scooters in use and idle at different times of the day, as well as demand data and real data obtained from statistical systems based on weather data. The article also discusses how KNIME can be used to solve regression problems and predict the daily distribution of scooter usage for each station. KNIME is a powerful program that utilizes intelligent technologies for data interoperability between software tools, making it an effective tool for solving forecasting problems and integrating data.

关键词： Databases Smart cities software algorithms Motorcycles Organizations Prediction algorithms software tools

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Design of Hardware/software Cooperative System Based on SM2/3/4 Hybrid Encryption Algorithm

Design of Hardware/Software Cooperative System Based on SM2/...

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Artificial Intelligence, Networking and Information Technology (AINIT), International Seminar on

作者： Zhaohui Ma School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

Traditional single-cipher algorithms cannot meet the requirements in terms of security and operation speed. To address the encryption needs in the era of big data, a hardware-software codesign scheme for a high-speed hybrid encryption system based on the Chinese National Encryption Algorithm SM2, SM3, and SM4 is proposed. The underlying hardware structures of the SM3 and SM4 algorithms are optimized. Experimental results show that each algorithm circuit implemented in the system has relatively high performance. The throughput of the SM3 algorithm reaches 36.91 Gbps, and the throughput of the SM4 algorithm reaches 38.05 Gbps, the throughput of the hybrid encryption system is 33.05 Gbps. The hybrid encryption algorithm not only does not require an additional secure channel but also has a similar throughput to the SM4 algorithm, demonstrating the superiority of the proposed hybrid encryption system.

关键词： Seminars software algorithms Pipelines Big Data Throughput Data transfer Hardware

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A Novel Android software for Comprehensive Ability Testing Based on HCI and Data Interaction Algorithm

A Novel Android Software for Comprehensive Ability Testing B...

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Sentiment Analysis and Deep Learning (ICSADL), International Conference on

作者： Zuyi Wang Xiaoli Wang Binbin Ren SanYa Aviation & Tourism college Sanya Hainan China

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

This study proposes a comprehensive ability testing software based on the Android platform, taking into account human-computer interaction principles and advanced data interaction algorithms. By optimizing the user interface to achieve seamless interaction and applying complex algorithms to improve test accuracy, it comprehensively assesses multiple skills. Its adaptability to Android devices makes it widely used in fields such as education and recruitment. Experimental results show that this Android-based software development model is highly scalable and flexible, allowing developers to easily create applications with different functions. Services in the middleware layer simplify the development process, while the user interface provides an intuitive way for users to interact with the device. The use of the Linux kernel ensures the stability and efficiency of the entire system. In addition, the research also uses hybrid encryption technology, which takes full advantage of AES and RSA algorithms. The AES key is encrypted with the RSA public key, and the plain-text information is encrypted with the AES key, which maintains the security of the AES key during transmission and ensures the security of the data in transit. This unique combination of algorithms creates a more secure and reliable data encryption solution. The experiment section focuses on Android software tests and simulations and oo compile code using the NDK to download and install the Android NDK. Since make and gcc are necessary for NDK compilation, this study establishes a Linux development environment using Cygwin. Cygwin is a Unix simulation environment on Windows, which is effective for Unix/Linux-savvy developers and application porting.

关键词： Operating systems Linux software algorithms Public key Stability analysis Encryption Middleware

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Modularization in Object Oriented software: A Comparative Study

Modularization in Object Oriented Software: A Comparative St...

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Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD), International Conference on

作者： Sandi Tendean Daniel Siahaan Anny Yuniarti Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Universitas Widya Dharma Pontianak Pontianak Indonesia

ISBN: (数字)9798350368451

ISBN: (纸本)9798350368468

The process of software modularization is essential to comprehending complex software systems. There are a variety of implementation approaches that provide different approaches to software architectural delineation. The advancement of programming languages and techniques presents novel challenges in determining suitable approaches for creating cohesive and separate modules. In this study, modularization increases the understanding of software quality by breaking apart the source code incorporated into packages into coherent and independent groupings. This study assesses the effectiveness of various architectures that integrate clustering algorithms, i.e. Agglomerative, K-means, and K-medoids, with three word-embedding techniques, i.e. BERT, FastText, and GloVe. The evaluation was conducted on five java-based applications with varying number of packages developed by different prominent developers. The primary objective of this study is to identify the optimal combination of clustering and word embedding algorithms that could yield high cohesion and low coupling of java-class modules. The results demonstrate that the combination of K-means and FastText outperforms other architectures in terms of cohesion, with a CH Index value of 10.66 and coupling with a DB Index value of 1.76 of clustered classes. In addition, regarding accuracy and similarity with ground truth, the combination of distance-based clustering algorithms and FastText outperformed other architectures.

关键词： Couplings Source coding Object oriented modeling software algorithms Clustering algorithms Computer architecture software quality software systems Indexes Object recognition

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Adaptive Mitigation of Blackhole Attacks in Blockchain-Enhanced software Defined Networks

Adaptive Mitigation of Blackhole Attacks in Blockchain-Enhan...

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Mehmed K. Uludag Murat Karakus Evrim Guler Suleyman Uludag Department of Computer Science and Engineering University of Michigan Ann Arbor Department of Software Engineering Ankara University Ankara Türkiye Department of Computer Engineering Bartin University Bartin Türkiye Department of Computer Science University of Michigan Flint MI USA

ISBN: (数字)9798350367942

ISBN: (纸本)9798350367959

software-Defined Networking (SDN) and Blockchain (BC) are transformative technologies reshaping network management and security, utilizing their synergies. SDN’s centralized control enhances flexibility and efficiency but introduces vulnerabilities due to its single point of control. With its decentralized and immutable ledger, BC offers a solution by distributing control and providing a tamper-proof audit trail. This paper integrates these technologies to address blackhole attacks—a critical vulnerability where compromised SDN controllers disrupt network performance. We propose Blockchain-Enhanced SDN for Adaptive Path Finding (BeS4APF) algorithm against blackhole attacks in the multidomain SDNs. The algorithm maintains a high Packet Delivery Ratio (PDR) by dynamically adjusting network paths in response to node failures. The BeS4APF algorithm presented effectively maintains a high PDR by dynamically adjusting paths in response to node failures. The methodology involves monitoring the network, detecting compromised nodes, and recalculating optimal paths using Dijkstra’s algorithm and node-disjoint path selection. Experiments with synthetic networks of varying sizes (from 60 to 120 domains) demonstrate that the algorithm successfully handles domain-compromising node attacks, maintaining high PDR even with increasing stochastic disruptions. Our preliminary results show that, while PDR slightly deviates and recovers in smaller networks, it stabilizes towards almost 100% in larger networks after initial adjustments. This work advances the integration of SDN and BC, offering a robust approach to securing modern networks against evolving stochastic attack scenarios and threats.

关键词： Measurement Adaptive systems Heuristic algorithms Prevention and mitigation software algorithms Robustness Security software defined networking Monitoring Resilience

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Resilient software Defined Satellite Networks: Combining Clustering Techniques with Efficient Routing Protocols

Resilient Software Defined Satellite Networks: Combining Clu...

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International Conference on software Defined Systems (SDS)

作者： Juliano Antonio da Silva Paulo Mendes Edison Pignaton de Freitas Graduate Program in Computer Science Federal University of Rio Grande do Sul Porto Alegre Brazil Central Research and Technology Airbus Munich Germany

ISBN: (数字)9798331518325

ISBN: (纸本)9798331518332

Low Earth Orbit satellite constellations are highly mobile and thus have time-varying network topologies. Such time-varying networks face various challenges due to intermittently available links and devices. Consequently, many routing algorithms that work well on the terrestrial Internet may not be suitable for Low Earth Orbit (LEO) constellations. This paper provides an analysis of the impact that different types of routing algorithms may have on the performance of LEO constellations. The provided study analyses not only link-state routing algorithms, as used in well-known routing protocols for LEO constellations such as Contact Graph Routing (CGR), which follows a software Defined Networking (SDN) approach, but also distance-vector algorithms, as well as the potential combination of link-state and distance-vector algorithms when network clusters are used in a LEO constellation.

关键词： Satellites Heuristic algorithms software algorithms Clustering algorithms Low earth orbit satellites Routing software Routing protocols Vectors software defined networking

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software Development for Modeling Microstructures of Polycrystalline Materials by Cellular Automata Method

Software Development for Modeling Microstructures of Polycry...

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Valeriia Hritskova Oleh Semenenko Mariia Shapovalova Oleksii Vodka Department of mathematical modeling and intelligent computing in engineering National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine

ISBN: (数字)9798350384499

ISBN: (纸本)9798350384505

This paper deals with software package development for 3D modeling of material microstructures using the 3D cellular automata method (MatViz3D). The software package includes algorithms for modeling based on the Moore, von Neumann, radial, and probabilistic cellular automata models. It also includes a 3D scene construction module using OpenGL for visualizing microstructures, a program interface design module, and modules for calculating geometric twodimensional and three-dimensional characteristics of grains. Finally, the software package includes algorithms for comparing the obtained characteristics with experimental microstructures, using script graphs for this purpose. MatViz3D has been developed using the $\mathbf{C}++$ programming language and the OpenGL library. The program interface has been designed using the Qt framework. The algorithms for comparing the obtained characteristics with experimental microstructures have been implemented using the Python programming language and the Seaborn library.

关键词： Visualization Solid modeling Three-dimensional displays software packages software algorithms Automata Probabilistic logic Libraries Microstructure Surface treatment

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