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20th IEEE/ACM International Conference on Mining Software Repositories, MSR 2023

作者： Oliveira, Anderson Correia, Joao Sousa, Leonardo Assuncao, Wesley K. G. Coutinho, Daniel Garcia, Alessandro Oizumi, Willian Barbosa, Caio Uchoa, Anderson Pereira, Juliana Alves Informatics Department - Pontifical Catholic Rio de Janeiro Brazil Carnegie Mellon University Department of Electrical and Computer Engineering Pittsburgh United States Institute of Software Systems Engineering Linz Austria Itapajé Brazil

ISBN: (纸本)9798350311846

Modern programming languages, such as Java, use exception-handling mechanisms to guarantee the robustness of software systems. Although important, the quality of exception code is usually poor and neglected by developers. Indiscriminate robustness changes (e.g., the addition of empty catch blocks) can indicate design decisions that negatively impact the internal quality of software systems. As it is known in the literature, multiple occurrences of poor code structures, namely code smells, are strong indicators of design problems. Still, existing studies focus mainly on the correlation of maintainability smells with design problems. However, using only these smells may not be enough since developers need more context (e.g., system domain) to identify the problems in certain scenarios. Moreover, these studies do not explore how changes in the exceptional code of the methods combined with maintainability smells can give complementary evidence of design problems. By covering both regular and exception codes, the developer can have more context about the system and find complementary code smells that reinforce the presence of design problems. This work aims to leverage the identification of design problems by tracking poor robustness changes combined with maintainability smells. We investigated the correlation between robustness changes and maintainability smells on the commit history of more than 160k methods from different releases of 10 open-source software systems. We observed that maintainability smells can be worsened or even introduced when robustness changes are performed. This scenario mainly happened for the smells Feature Envy, Long Method, and Dispersed Coupling. We also analyzed the co-occurrence between robustness and maintainability smells. We identified that the empty catch block and catch throwable robustness smells were the ones that co-occurred the most with maintainability smells related to the Concern Overload and Misplaced Concern design problems. T

关键词： Maintainability

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Multi-Criteria Decision-Making Approach for Laptop Selection: A Case Study 3

Multi-Criteria Decision-Making Approach for Laptop Selection...

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3rd IEEE Asian Conference on Innovation in Technology, ASIANCON 2023

作者： Channi, Harpreet Kaur Sandhu, Ramandeep Faiz, Mohammad Islam, Sardar M. N. Chandigarh University Gharuan Department of Electrical Engineering Punjab Mohali India School of Computer Science and Engineering Lovely Professional University Punjab Jalandhar India Victoria University Applied Informatics Research Melbourne Australia

ISBN: (纸本)9798350302288

This article uses the well-known multi-criteria decision-making (MCDM) theory to determine which laptop is the best among those that are currently on the market. To illustrate the importance of decision-making in a class of 25 students, data on laptop features was gathered for this case study. The following eight factors were considered while choosing an option: price, weight, RAM, camera megapixels, screen size, clock speed, operating system, and laptop appearance. SAW and WPM determine the optimal laptop alternative. To rank laptop qualities, identical weights are applied. The suggested work displays laptop rankings derived by SAW and WPM methods. Future engineers and management may benefit significantly from this straightforward decision-making process. More important attributes/criteria and alternatives may be taken into account, and there are a variety of weighting techniques from which to choose. The study emphasizes the importance of incorporating user preferences and real-time market data to ensure personalized and up-to-date laptop recommendations. Through this approach, users can make well-informed decisions that align with their specific needs and environmental considerations. © 2023 IEEE.

关键词： Decision making

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Visualization of Syntax and Semantics for Simple Functional Language of Natural Numbers and Boolean Values 10

Visualization of Syntax and Semantics for Simple Functional ...

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10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Perháč, Ján Ferencsik, Michal Zhukovskyy, Viktor Zhukovska, Nataliia Shatnyi, Serhii Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Computers and Informatics Košice Slovakia National University of Water and Environmental Engineering Department of Computer Science and Applied Mathematics Rivne Ukraine

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Building an abstract syntax tree is an integral part of compilers. We analyze a few of the popular techniques providing such analysis in the web environment. Based on the analysis of these solutions, we deal with the implementation of our parser solution, which also provides a graphical representation of abstract syntax trees as well as proof trees. This solution is then used in our application designed to interpret the expressions of the simple teaching functional language of natural numbers and boolean values. In addition, the application supports the evaluation (semantics) of expressions (step by step), and also their individual properties: the depth of the syntax tree, syntax tree nodes count, and the constants used in the expression. © 2022 IEEE.

关键词： Semantics

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Blockchain-based trusted dispute resolution service architecture

Blockchain-based trusted dispute resolution service architec...

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Sharma, Ravi Mohan Krishna, V. Rama Saikia, Tirtha Suri, Ashish Rivera, Richard Mavaluru, Dinesh Department of Computer Science and Applications Makhanalal Chaturvedi National University of Journalism and Communication Madhya Pradesh Bhopal India CVR College of Engineering Hyderabad India Economics Mittal School of Business Lovely Professional University India School of Electronics and Communication Engineering Shri Mata Vaishno Devi University India Department of Informatics and Computer Science Escuela Politécnica Nacional Quito Ecuador College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia

ISBN: (纸本)9781032669663

In the traditional service architecture (Service-Oriented Architecture, SOA), the Web Service provider registers its service description in the registry for service consumers to discover and call services. Although this architecture can provide open service calls, it lacks a dispute resolution mechanism. The trusted invocation of services between service consumers and providers who do not trust each other cannot be guaranteed. Blockchain technology has significant advantages in decentralization and anti-tampering and can be reasonably applied in traditional SOA to solve the problem of service credibility. Trusted SOA architecture based on blockchain is proposed to realize credible service invocation by combining traditional SOA architecture and blockchain technology. During a credible service invocation, or service consumption, The provider encrypts the parameters and sends them to the target service provider;the service provider receives the encrypted parameters and completes the decryption;the service provider completes the service execution and completes the encryption of the output result;finally, the service provider sends the encrypted result to the service provider Consumers complete the construction and chaining of trusted credentials at the same time. Based on the above, when a service dispute occurs, the ruling smart contract will be triggered to handle the service dispute correctly. The experimental results show that compared with the traditional invocation, the proposed method can correctly handle service disputes between service providers and requesters under the premise of ensuring that the growth rate of most Service trusted call times is not more excellent than 30%. by combining traditional SOA architecture and blockchain technology by combining traditional SOA architecture and blockchain technology. © 2024 The Author(s).

关键词： Blockchain

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An Intelligent Controller for Demand-Side Management in Residential Electrical Networks

An Intelligent Controller for Demand-Side Management in Resi...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Gregory Zigirkas John Kalomiros Dept. of Computer Informatics and Telecommunications Engineering International Hellenic University Serres Greece

A novel embedded controller is proposed for the management of electrical consumption in residential installations. The proposed system is designed to implement well-established DSM techniques. It can be placed directly into the electrical board of a residential circuit and can be connected to the smart grid. The controller is based on a PIC microcontroller and incorporates a series of perceptrons which adjust the duty cycle of PWM modules according to user defined preferences. The system is tested in laboratory conditions and is proved to be able to adjust the total current to a predefined threshold, without violating user comfort and priorities. The proposed embedded controller is a flexible solution in the form of a final product, ready for the smart grid and able to support microgrids.

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A Visual Interpretation-Based Self-improved Classification System Using Virtual Adversarial Training 9th

A Visual Interpretation-Based Self-improved Classification S...

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19th International Conference on Advanced Data Mining and Applications, ADMA 2023

作者： Jiang, Shuai Kamei, Sayaka Li, Chen Hou, Shengzhe Morimoto, Yasuhiko Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Graduate School of Informatics Nagoya University Nagoya Japan College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9783031466731

The successful application of large pre-trained models such as BERT in natural language processing has attracted more attention from researchers. Since the BERT typically acts as an end-to-end black box, classification systems based on it usually have difficulty in interpretation and low robustness. This paper proposes a visual interpretation-based self-improving classification model with a combination of virtual adversarial training (VAT) and BERT models to address the above problems. Specifically, a fine-tuned BERT model is used as a classifier to classify the sentiment of the text. Then, the predicted sentiment classification labels are used as part of the input of another BERT for spam classification via a semi-supervised training manner using VAT. Additionally, visualization techniques, including visualizing the importance of words and normalizing the attention head matrix, are employed to analyze the relevance of each component to classification accuracy. Moreover, brand-new features will be found in the visual analysis, and classification performance will be improved. Experimental results on Twitter’s tweet dataset demonstrate the effectiveness of the proposed model on the classification task. Furthermore, the ablation study results illustrate the effect of different components of the proposed model on the classification results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Classification (of information)

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A fast parallel classification model for the diagnosis of cancer

Recent Advances in Computer Science and Communications

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Recent Advances in computer Science and Communications 2021年第1期14卷 291-301页

作者： Jain, Divya Singh, Vijendra Department of Computer Science and Engineering School of Engineering and Technology The Northcap University Gurugram India Department of Informatics School of Computer Science University of Petroleum and Energy Studies Dehradun India

Background: In this era of voluminous data, there is a need to process data speedily in less time. Moreover, it is also essential to diminish the dimensionality of data as well as to apply parallel computations for classification. SVM is a prominent classification tool and is currently one of the most popular state-of-the-art models for solving various classification problems that makes use of parallel computations to speed up its processing. Objective: To develop a fast, promising classification system using optimized SVM classifier with hybridized dimensionality reduction for the diagnosis of cancer disease. Methods: The proposed approach comprises of two stages – the first stage presents a hybrid approach to reduce the dimensionality of cancer datasets, and the second stage presents an efficient classification method to optimize the SVM parameters and improve its accuracy. To lessen the execution time, the proposed approach uses GPUs to concurrently run different processes on machine workers. Results: The proposed method with the combination of dimensionality reduction & parallel classification using optimized SVM classifier is found to give excellent results based on ‘Classification Accuracy’, ‘Selected Features’ and ‘Execution Time’. Conclusion: The experimental findings with benchmark datasets indicate that the proposed diagnostic model yields significant improvement in terms of execution time when compared to the conventional approach. The proposed model can assist doctors and medical professionals in the quick selection of most significant risk factors for the diagnosis and prognosis of cancer diseases. © 2021 Bentham Science Publishers.

关键词： Classification (of information)

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DsetGenS: An Automated Technique for Building Dataset From Speech with respect to Gujarati-English 11

DsetGenS: An Automated Technique for Building Dataset From S...

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11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022

作者： Patel, Margi Joshi, Brijendra Kumar Indore Institute of Science and Technology Department of Computer Science and Engineering Indore India Military College of Telecommunication Engineering Department of Informatics Mhow India

ISBN: (纸本)9781665480383

The computer has seen significant evolution in recent years, with applications in variety of disciplines like Machine Learning, Deep Learning etc. Machine Translation (MT) technology has advanced significantly as a subfield, with many methodologies and techniques. The number of individuals using the internet has risen tremendously. Most documents are written in English since that is the most extensively used language on the internet. If a user's first dialect is Gujarati, he or she will naturally prefer to access the information in Gujarati whenever possible. Even though there are already various MT systems and tools that support Indian languages;however, the translation's quality is mediocre and might be improved. As observed, when models are trained on limited quantities of parallel data, their performance declines. Learned models often have limited performance (inaccurate translations and feature scores) along with low coverage (high out-of-vocabulary rates). Furthermore, the researchers were driven to present novel methodologies and solutions that would automatically construct Datasets for MT due to the increased demand for effective technologies to process and translate information from/to Gujarati Language. Our objective of generating a Gujarati-English dataset has been met in two ways. We have already introduced GEDset, that is automatic Dataset Builder for Machine Translation System with Specific Reference to Gujarati-English [1]. Here, in this paper we are proposing a model to automatically build Gujarati-English dataset from audio that is available in Gujarati Language through Speech Processing. © 2022 IEEE.

关键词： Deep learning

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Verifying Shortest Paths in Linear Time

arXiv

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arXiv 2024年

作者： Shokry, Ahmed Elmasry, Amr Khalafallah, Ayman Aly, Amr Computer and Systems Engineering Department Alexandria University Egypt Egypt University of Informatics Egypt

In this paper we propose a linear-time certifying algorithm for the single-source shortest-path problem capable of verifying graphs with positive, negative, and zero arc weights. Previously proposed linear-time approa... 详细信息

关键词： Graph algorithms

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Highly-Compact Wideband High-Gain Four-Element MIMO Antenna for 5G New Radio IoT

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IEEE Internet of Things Journal 2025年第12期12卷 22350-22365页

作者： Khan, Shahid Khan, Owais Shah, Syed Ahson Ali Nasir, Jamal Malik, Bilal Tariq Khan, Salahuddin Koziel, Slawomir Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad-Campus Islamabad Pakistan Gwangju Institute of Science and Technology Graduate School of Energy Convergence Gwangju Korea Republic of King Saud University College of Engineering P.O. Box 800 Riyadh11421 Saudi Arabia Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Gdansk80-233 Poland Reykjavik University Engineering Optimization and Modeling Center Reykjavik101 Iceland

Wideband millimeter-wave (mm-wave) coverage is essential for the high-speed, low-latency communication required in next-generation 5G New Radio (NR) Internet of Things (IoT) systems. This study develops a T-shaped four-element, highly compact wideband multiple-input multiple-output (MIMO) antenna covering the mm-wave n260 (37.40 GHz) and n259 (42.43.5 GHz) bands for 5G NR IoT applications. The antenna is designed on a 0.76 mm-thick Rogers RO4350B substrate with overall dimensions of 28 28 mm2 (3.3 × 3.3 λ2). For design simplicity, a T-shaped patch backed by a full-ground plane is devised to serve as the radiator of a single-element antenna with the dimensions of (Ls × Ws) mm2, optimized through a systematic three-step design process for improved performance. Moreover, the design has evolved into a 4× 4 orthogonal MIMO configuration, achieving improved gain, polarization diversity, and higher data rates, with each element exhibiting wideband characteristics across 11.5 GHz (36.5 to 48 GHz) with high gains of 9.8 dBi and 6.6 dBi at n260 and n259 5G mm-wave bands, respectively. Additionally, arc-shaped complementary split-ring resonators (CSRR) are integrated into the ground plane to significantly enhance the gain while effectively reducing mutual coupling, remarkably achieving a maximum gain of 9.8 dBi. Furthermore, the MIMO antenna exhibits an envelope correlation coefficient of less than 0.10 between any two MIMO elements encountering the required condition of © 2014 IEEE.

关键词： Microwave antennas

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