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IEEE Winter Meeting Power Engineering Society

作者： R. Bacher Swiss Federal Institute of Technology Zurich Switzerland

This paper describes two methodologies applied to the development of power applications: approach A uses the concept of automatic code differentiation of standard Fortran or C code. This allows the automatic source code generation of code parts for the computation of first order derivatives. The other approach B uses the concept of systematic software reuse by defining a domain architecture. In this approach B an appropriate domain model formulates network and connected entities with behavior leading to the formulation and solution of systems of simultaneous nonlinear equations or to optimization problems consisting of partially separable functions.

关键词： Programming software algorithms Application software World Wide Web software systems Productivity Electronic mail Code standards Standards development Computer architecture

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Seminal software engineering using metaheuristic innovative algorithms

Seminal software engineering using metaheuristic innovative ...

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International Conference on software Engineering (ICSE)

作者： M. Harman B. Jones Brunei University Uxbridge UK School of Computing University of Glamorgan Pontypridd UK

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Realizing of algorithms of Dynamic Programming on Mathematica software

Realizing of Algorithms of Dynamic Programming on Mathematic...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Kang Zhou Lang Zhou Xiao-jun Tong Department of Mathematics and Physics Wuhan Polytechnic University Wuhan China Department of Electric and Information Engineering Wuhan Polytechnic University Wuhan China

Necessary steps of making mathematics model with dynamic programming are analyzed in detail as well as necessary elements of dynamic programming model. Then, two kinds of basal algorithms to solve dynamic programming model are analyzed. Finally, for several examples, the two kinds of basal algorithms are realized with mathematical software

关键词： Heuristic algorithms software algorithms Dynamic programming Equations Mathematics Mathematical model Algorithm design and analysis Physics Information analysis Computer science

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Research on Malicious software Detection and Clearing algorithms Based on Artificial Intelligence

Research on Malicious Software Detection and Clearing Algori...

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Electrical Drives, Power Electronics & Engineering (EDPEE), International Conference on

作者： Shanshan Lei Jindong He Huimin Ye State Grid Fujian Electric Power Research Institute Fuzhou Fujian China

ISBN: (数字)9798350395631

ISBN: (纸本)9798350395648

The proliferation of malicious software poses extreme security threats to network users, enterprises, industrial facilities, networks, and information devices. With the rapid growth of artificial intelligence (AI), machine learning (ML) and deep learning (DL) technologies are gradually being introduced into the detection of malicious software, which is called intelligent malware detection technology. Malicious software detection is based on malicious software analysis technology to obtain program information and conduct statistical analysis to construct a data source. Finally, a set method is used to classify and identify malicious software. Traditional malware detection methods, faced with the difficulty of quickly identifying a large number of malicious samples, propose a DL based malware detection and removal algorithm. Using DL algorithm, train a malware detection model by extracting prominent features of malware, and develop malware detection tools to detect and classify malware, improving the efficiency and precision of malware detection. The experimental results show that the algorithm designed in this article can effectively detect and clear malicious software.

关键词： Text recognition Statistical analysis Soft sensors software algorithms Internet security Feature extraction Industrial facilities

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Method of comparing graph differencing algorithms for software differencing

Method of comparing graph differencing algorithms for softwa...

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IEEE International Conference on Electro-Information Technology

作者： Jason Stanek Suraj Kothari Kang Gui Department of Electrical and Computer Engineering Iowa State University Ames IA USA

software differencing is the process of identifying differences between two versions of software. Finding the differences is important for applications such as efficient testing, merging, and auditing. software differencing reduces to the problem of graph differencing for which the most general case is intractable. Graph differencing is important in several fields and several notions of graph differences exist. In this paper we describe an experimental method for comparing graph differencing algorithms for software differencing, develop a new definition of graph difference for identifying the semantic differences in software and conjecture about the definitionpsilas relation to another mathematical definition, and finally use these in a comparative study of graph differencing algorithms.

关键词： software algorithms Application software Scalability Image analysis Contacts Testing Merging Supercomputers Runtime Design methodology

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The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systems

The Metrics Apprentice: using cultural algorithms to formula...

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Congress on Evolutionary Computation

作者： G.S. Cowan R.G. Reynolds George S. Cowan and Associates Ypsilanti MI USA Computer Science Department Wayne State University Detroit MI USA

The Metrics Apprentice processes a domain knowledge base of software quality concepts with a form of evolutionary computation in order to learn software metrics for a delimited application or software development environment. The evolutionary computation method that is used, the Cultural Algorithm, uses beliefs about the performance of individual population members in order to enhance the evolutionary learning process. In the Metrics Apprentice, these beliefs are an integrated part of the domain knowledge base, and the ones that are most useful in the learning process persist for reuse in future learning tasks. The semantic network that encodes the domain of software quality issues and concepts is displayed using an extension of expandable outlines called the Outline Knowledge Display.

关键词： Cultural differences software algorithms software systems software quality software metrics Application software Genetic programming Evolutionary computation Learning systems Displays

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Efficient software Implementation of the SIKE Protocol Using a New Data Representation

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IEEE TRANSACTIONS ON COMPUTERS 2022年第3期71卷 670-683页

作者： Tian, Jing Wang, Piaoyang Liu, Zhe Lin, Jun Wang, Zhongfeng Grosschaedl, Johann Nanjing Univ Sch Elect Sci & Engn Nanjing 210093 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 210016 Peoples R China Univ Luxembourg L-4365 Esch Sur Alzette Luxembourg

Thanks to relatively small public and secret keys, the Supersingular Isogeny Key Encapsulation (SIKE) protocol made it into the third evaluation round of the post-quantum standardization project of the National Institute of Standards and Technology (NIST). Even though a large body of research has been devoted to the efficient implementation of SIKE, its latency is still undesirably long for many real-world applications. Most existing implementations of the SIKE protocol use the Montgomery representation for the underlying field arithmetic since the corresponding reduction algorithm is considered the fastest method for performing multiple-precision modular reduction. In this paper, we propose a new data representation for supersingular isogeny-based Elliptic-Curve Cryptography (ECC), of which SIKE is a sub-class. This new representation enables significantly faster implementations of modular reduction than the Montgomery reduction, and also other finite-field arithmetic operations used in ECC can benefit from our data representation. We implemented all arithmetic operations in C using the proposed representation such that they have constant execution time and integrated them to the latest version of the SIKE software library. Using four different parameters sets, we benchmarked our design and the optimized generic implementation on a 2.6 GHz Intel Xeon E5-2690 processor. Our results show that, for the prime of SIKEp751, the proposed reduction algorithm is approximately 2.61 times faster than the currently best implementation of Montgomery reduction, and our representation also enables significantly better timings for other finite-field operations. Due to these improvements, we were able to achieve a speed-up by a factor of about 1.65, 2.03, 1.61, and 1.48 for SIKEp751, SIKEp610, SIKEp503, and SIKEp434, respectively, compared to state-of-the-art generic implementations.

关键词： Protocols Cryptography Elliptic curves Elliptic curve cryptography software algorithms Public key NIST Supersingular Isogeny Diffie-Hellman (SIDH) key exchange Elliptic Curve Cryptography (ECC) modular reduction operation montgomery representation barrett representation Post-Quantum Cryptography (PQC)

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A Novel Variability-Rich Scheme for software Updates of Automotive Systems

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IEEE ACCESS 2024年 12卷 79530-79548页

作者： Bazzi, Abir Shaout, Adnan Ma, Di Univ Michigan Dearborn Dept Elect & Comp Engn Dearborn MI 48128 USA Univ Michigan Dearborn Dept Comp & Informat Sci Dearborn MI 48128 USA

The automotive industry is experiencing a significant evolution from traditional hardware-defined to software-defined architecture, enabling higher levels of autonomy, connectivity, safety, and richer in-vehicle experiences. A service oriented architecture is essential for realizing software-Defined Vehicles (SDVs) and fostering new business models for OEMs. However, this architecture evolution requires new development paradigms to address the increasing complexity of software, which is essential for seamless software development, integration, and deployment from cloud or backend repositories to the vehicle. Given the complexity of vehicular software updates, particularly when dealing with highly distributed embedded ECUs, a software-centric approach is more efficient and suitable to cover different architectures and configurations, ensuring consistency across all platforms. Therefore, we propose a variability-rich scheme for software updates based on a Merkle tree approach that can cope with the complexity of the new software architecture while addressing the safety and security requirements of real-time and resource-constrained embedded systems in the vehicle. The technical analysis and experiments conducted in this paper demonstrate how the proposed scheme, which combines a digital signature and a Merkle hash tree, achieves synergistic authentication and verification of multiple software variants. Our approach offers OEMs the ability to sign a software module once and verify it across multiple ECU variants, providing a more efficient alternative to the traditional method of creating a software update package for each variant. This approach not only adds flexibility to software updates and reduces the complexity of software variant management, but also maintains the security of the vehicle, ensuring that there is no compromise in the safety of the passengers.

关键词： software Computer architecture Automotive engineering Complexity theory Industries Cloud computing software algorithms Cyber-physical systems software development management Service-oriented architecture Cyber physical systems digital signatures distributed software development Merkle tree safety-critical systems service oriented architecture software over the air updates software-defined vehicle variant management

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software Tool for Evaluation of Traffic Prioritisation algorithms in 6LOWPAN Network

Software Tool for Evaluation of Traffic Prioritisation Algor...

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International Symposium on Electrical Apparatus and Technologies (SIELA)

作者： Aydan Haka Veneta Aleksieva Hristo Valchanov Faculty of Computer Sciences and Automation Technical University of Varna Varna Bulgaria

ISBN: (数字)9781728143460

ISBN: (纸本)9781728143477

The expected expansion of IoT networks and their virtualisation require improved quality of service. This paper introduces enhancements to the simulation product for 6LoWPAN networks proposed by authors, which enables service quality research. The influence of different algorithms for prioritising traffic on throughput, delay, packet delivery ratio and packet loss ratio considered.

关键词： Delays Quality of service Throughput software algorithms Mobile handsets software tools Packet loss

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Incorporating an Integrated software System for Stroke Prediction using Machine Learning algorithms and Artificial Neural Network

Incorporating an Integrated Software System for Stroke Predi...

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IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Md. Jalal Uddin Chowdhury Ashab Hussan Dewan Ashraful Islam Hridoy Abu Sayed Sikder Dept. of CSE Leading University Sylhet Bangladesh

A stroke is a condition where there is no flow of blood in the brain, depriving it of oxygen and resulting in long-term brain damage and loss of function. Most typically, a clot in an artery delivering blood to the brain is the culprit. Hemorrhage, in which blood leaks into the brain due to a ruptured vessel, is another possible reason. A stroke can result in long-term harm, such as partial paralysis, speech impairment, cognitive impairment, and memory loss. The second leading cause of mortality is a stroke, which is also a significant contributor to disability worldwide. According to the World Stroke Organization (WSO), a stroke will occur in 1 out of every four adults over the age of 25. The number of stroke victims worldwide exceeds 110 million. The objective of the thesis is to incorporate an integrated software system that will predict stroke using artificial neural networks and machine learning algorithms like logistic regression, decision tree classification, random forest classification, K-nearest neighbors, support vector machines, and Nave Bayes classification. The rate of strokes is already alarming. Having an intuitive system to conveniently predict stroke could help reduce the rate of stroke by educating people, which is the focus of the research.

关键词： Support vector machines Visualization Machine learning algorithms software algorithms Artificial neural networks Stroke (medical condition) Prediction algorithms

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