Computers最新文献_第4页

Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments 用于在不同环境中优化路径规划的低成本多感知机器人

IF 2.8

Computers Pub Date : 2023-12-01 DOI: 10.3390/computers12120250

Rohit Mittal, Geeta Rani, Vibhakar Pathak, Sonam Chhikara, V. Dhaka, E. Vocaturo, Ester Zumpano

{"title":"Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments","authors":"Rohit Mittal, Geeta Rani, Vibhakar Pathak, Sonam Chhikara, V. Dhaka, E. Vocaturo, Ester Zumpano","doi":"10.3390/computers12120250","DOIUrl":"https://doi.org/10.3390/computers12120250","url":null,"abstract":"The automation industry faces the challenge of avoiding interference with obstacles, estimating the next move of a robot, and optimizing its path in various environments. Although researchers have predicted the next move of a robot in linear and non-linear environments, there is a lack of precise estimation of sectorial error probability while moving a robot on a curvy path. Additionally, existing approaches use visual sensors, incur high costs for robot design, and ineffective in achieving motion stability on various surfaces. To address these issues, the authors in this manuscript propose a low-cost and multisensory robot capable of moving on an optimized path in diverse environments with eight degrees of freedom. The authors use the extended Kalman filter and unscented Kalman filter for localization and position estimation of the robot. They also compare the sectorial path prediction error at different angles from 0° to 180° and demonstrate the mathematical modeling of various operations involved in navigating the robot. The minimum deviation of 1.125 cm between the actual and predicted path proves the effectiveness of the robot in a real-life environment.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"53 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

B-PSA: A Binary Pendulum Search Algorithm for the Feature Selection Problem B-PSA：针对特征选择问题的二元摆式搜索算法

IF 2.8

Computers Pub Date : 2023-11-29 DOI: 10.3390/computers12120249

Broderick Crawford, Felipe Cisternas-Caneo, Katherine Sepúlveda, Ricardo Soto, Álex Paz, Alvaro Peña, Claudio León de la Barra, E. Rodriguez-Tello, Gino Astorga, Carlos Castro, Franklin Johnson, Giovanni Giachetti

引用次数: 0

Credit Risk Prediction Based on Psychometric Data 基于心理测量数据的信用风险预测

IF 2.8

Computers Pub Date : 2023-11-28 DOI: 10.3390/computers12120248

Eren Duman, Mehmet S. Aktas, Ezgi Yahsi

引用次数: 0

Design and Implement an Accurate Automated Static Analysis Checker to Detect Insecure Use of SecurityManager 设计并实施精确的自动静态分析检查器，检测不安全使用 SecurityManager 的情况

IF 2.8

Computers Pub Date : 2023-11-28 DOI: 10.3390/computers12120247

Midya Alqaradaghi, Muhammad Zafar Iqbal Nazir, Tamás Kozsik

引用次数: 0

Optimizing Intrusion Detection Systems in Three Phases on the CSE-CIC-IDS-2018 Dataset 在 CSE-CIC-IDS-2018 数据集上分三个阶段优化入侵检测系统

IF 2.8

Computers Pub Date : 2023-11-24 DOI: 10.3390/computers12120245

Surasit Songma, Theera Sathuphan, Thanakorn Pamutha

引用次数: 0

A Hard-Timeliness Blockchain-Based Contract Signing Protocol 基于区块链的高时效合同签署协议

IF 2.8

Computers Pub Date : 2023-11-24 DOI: 10.3390/computers12120246

J. Ferrer-Gomila, M. F. Hinarejos

{"title":"A Hard-Timeliness Blockchain-Based Contract Signing Protocol","authors":"J. Ferrer-Gomila, M. F. Hinarejos","doi":"10.3390/computers12120246","DOIUrl":"https://doi.org/10.3390/computers12120246","url":null,"abstract":"In this article, we present the first proposal for contract signing based on blockchain that meets the requirements of fairness, hard-timeliness, and bc-optimism. The proposal, thanks to the use of blockchain, does not require the use of trusted third parties (TTPs), thus avoiding a point of failure and the problem of signatories having to agree on a TTP that is trusted by both. The presented protocol is fair because it is designed such that no honest signatory can be placed at a disadvantage. It meets the hard-timeliness requirement because both signatories can end the execution of the protocol at any time they wish. Finally, the proposal is bc-optimistic because blockchain functions are only executed in case of exception (and not in each execution of the protocol), with consequent savings when working with public blockchains. No previous proposal simultaneously met these three requirements. In addition to the above, this article clarifies the concept of timeliness, which previously has been defined in a confusing way (starting with the authors who used the term for the first time). We conducted a security review that allowed us to verify that our proposal meets the desired requirements. Furthermore, we provide the specifications of a smart contract designed for the Ethereum blockchain family and verified the economic feasibility of the proposal, ensuring it can be aligned with the financial requirements of different scenarios.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"402 ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Specification and Description Language Models Automatic Execution in a High-Performance Environment 在高性能环境中自动执行的规范和描述语言模型

IF 2.8

Computers Pub Date : 2023-11-22 DOI: 10.3390/computers12120244

Pau Fonseca i Casas, I. Romanowska, Joan Garcia i Subirana

引用次数: 0

Revealing People’s Sentiment in Natural Italian Language Sentences 从自然意大利语句子中揭示人们的情绪

IF 2.8

Computers Pub Date : 2023-11-21 DOI: 10.3390/computers12120241

Andrea Calvagna, E. Tramontana, Gabriella Verga

{"title":"Revealing People’s Sentiment in Natural Italian Language Sentences","authors":"Andrea Calvagna, E. Tramontana, Gabriella Verga","doi":"10.3390/computers12120241","DOIUrl":"https://doi.org/10.3390/computers12120241","url":null,"abstract":"Social network systems are constantly fed with text messages. While this enables rapid communication and global awareness, some messages could be aptly made to hurt or mislead. Automatically identifying meaningful parts of a sentence, such as, e.g., positive or negative sentiments in a phrase, would give valuable support for automatically flagging hateful messages, propaganda, etc. Many existing approaches concerned with the study of people’s opinions, attitudes and emotions and based on machine learning require an extensive labelled dataset and provide results that are not very decisive in many circumstances due to the complexity of the language structure and the fuzziness inherent in most of the techniques adopted. This paper proposes a deterministic approach that automatically identifies people’s sentiments at the sentence level. The approach is based on text analysis rules that are manually derived from the way Italian grammar works. Such rules are embedded in finite-state automata and then expressed in a way that facilitates checking unstructured Italian text. A few grammar rules suffice to analyse an ample amount of correctly formed text. We have developed a tool that has validated the proposed approach by analysing several hundreds of sentences gathered from social media: hence, they are actual comments given by users. Such a tool exploits parallel execution to make it ready to process many thousands of sentences in a fraction of a second. Our approach outperforms a well-known previous approach in terms of precision.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"6 2","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139254491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improvement of Malicious Software Detection Accuracy through Genetic Programming Symbolic Classifier with Application of Dataset Oversampling Techniques 应用数据集超采样技术，通过遗传编程符号分类器提高恶意软件检测精度

IF 2.8

Computers Pub Date : 2023-11-21 DOI: 10.3390/computers12120242

N. Anđelić, Sandi Baressi Baressi Šegota, Z. Car

{"title":"Improvement of Malicious Software Detection Accuracy through Genetic Programming Symbolic Classifier with Application of Dataset Oversampling Techniques","authors":"N. Anđelić, Sandi Baressi Baressi Šegota, Z. Car","doi":"10.3390/computers12120242","DOIUrl":"https://doi.org/10.3390/computers12120242","url":null,"abstract":"Malware detection using hybrid features, combining binary and hexadecimal analysis with DLL calls, is crucial for leveraging the strengths of both static and dynamic analysis methods. Artificial intelligence (AI) enhances this process by enabling automated pattern recognition, anomaly detection, and continuous learning, allowing security systems to adapt to evolving threats and identify complex, polymorphic malware that may exhibit varied behaviors. This synergy of hybrid features with AI empowers malware detection systems to efficiently and proactively identify and respond to sophisticated cyber threats in real time. In this paper, the genetic programming symbolic classifier (GPSC) algorithm was applied to the publicly available dataset to obtain symbolic expressions (SEs) that could detect the malware software with high classification performance. The initial problem with the dataset was a high imbalance between class samples, so various oversampling techniques were utilized to obtain balanced dataset variations on which GPSC was applied. To find the optimal combination of GPSC hyperparameter values, the random hyperparameter value search method (RHVS) was developed and applied to obtain SEs with high classification accuracy. The GPSC was trained with five-fold cross-validation (5FCV) to obtain a robust set of SEs on each dataset variation. To choose the best SEs, several evaluation metrics were used, i.e., the length and depth of SEs, accuracy score (ACC), area under receiver operating characteristic curve (AUC), precision, recall, f1-score, and confusion matrix. The best-obtained SEs are applied on the original imbalanced dataset to see if the classification performance is the same as it was on balanced dataset variations. The results of the investigation showed that the proposed method generated SEs with high classification accuracy (0.9962) in malware software detection.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"46 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139252986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meshfree Interpolation of Multidimensional Time-Varying Scattered Data 多维时变散射数据的无网格插值

IF 2.8

Computers Pub Date : 2023-11-21 DOI: 10.3390/computers12120243

Vaclav Skala, Eliska Mourycová

{"title":"Meshfree Interpolation of Multidimensional Time-Varying Scattered Data","authors":"Vaclav Skala, Eliska Mourycová","doi":"10.3390/computers12120243","DOIUrl":"https://doi.org/10.3390/computers12120243","url":null,"abstract":"Interpolating and approximating scattered scalar and vector data is fundamental in resolving numerous engineering challenges. These methodologies predominantly rely on establishing a triangulated structure within the data domain, typically constrained to the dimensions of 2D or 3D. Subsequently, an interpolation or approximation technique is employed to yield a smooth and coherent outcome. This contribution introduces a meshless methodology founded upon radial basis functions (RBFs). This approach exhibits a nearly dimensionless character, facilitating the interpolation of data evolving over time. Specifically, it enables the interpolation of dispersed spatio-temporally varying data, allowing for interpolation within the space-time domain devoid of the conventional “time-frames”. Meshless methodologies tailored for scattered spatio-temporal data hold applicability across a spectrum of domains, encompassing the interpolation, approximation, and assessment of data originating from various sources, such as buoys, sensor networks, tsunami monitoring instruments, chemical and radiation detectors, vessel and submarine detection systems, weather forecasting models, as well as the compression and visualization of 3D vector fields, among others.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"34 6","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139252052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0