AI, Computer Science and Robotics Technology最新文献_第3页

Particle Swarm Optimization with a Simplex Strategy to Avoid Getting Stuck on Local Optimum 避免陷入局部最优的单纯形粒子群优化策略

AI, Computer Science and Robotics Technology Pub Date : 2022-10-07 DOI: 10.5772/acrt.11

V. Steffen

{"title":"Particle Swarm Optimization with a Simplex Strategy to Avoid Getting Stuck on Local Optimum","authors":"V. Steffen","doi":"10.5772/acrt.11","DOIUrl":"https://doi.org/10.5772/acrt.11","url":null,"abstract":"Heuristic methods, for global optimization, have been receiving much interest in the last years, among which Particle Swarm Optimization (PSO) algorithm can be highlighted. However, the application of heuristic methods can lead to premature convergence. In this work, the addition of a step on the PSO algorithm is proposed. This new step, based in Nelder–Mead simplex search method (NM), consists of repositioning the current particle with global best solution, not for a better position, but away from the current nearest local optimum, to avoid getting stuck on this local optimum. There are other PSO-NM algorithms, but the one we are proposing, has a different strategy. The proposed algorithm was also tested with the repositioning strategy in other particles beyond the current global best particle, depending on the repositioning probability. To evaluate the effectiveness of the proposed methods, and study its better parameters, were used various test functions, and for each test function, various number of particles were used in combination with various probabilities of particles repositioning. A thousand runs were performed for each case, resulting in more than two millions runs. The computational studies showed that the repositioning of of global best particle increases the percentage of success on reaching the global best solution, but better results can be obtained applying the repositioning strategy to other particles with repositioning probabilities between 1–5%.","PeriodicalId":431659,"journal":{"name":"AI, Computer Science and Robotics Technology","volume":"380 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127916256","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: 2

Robot Fish Caudal Propulsive Mechanisms: A Mini-Review 机器鱼的尾部推进机制:综述

AI, Computer Science and Robotics Technology Pub Date : 2022-06-21 DOI: 10.5772/acrt.09

E. Martínez-García, Roman Lavrenov, E. Magid

引用次数: 3

Modern Authentication Methods: A Comprehensive Survey 现代认证方法综述

AI, Computer Science and Robotics Technology Pub Date : 2022-06-01 DOI: 10.5772/acrt.08

Maria Papathanasaki, Leandros A. Maglaras, N. Ayres

引用次数: 12

Potential of Passive DVB-T Radar Component Against Illegal UAV Flights 无源DVB-T雷达组件对抗无人机非法飞行的潜力

AI, Computer Science and Robotics Technology Pub Date : 2022-04-08 DOI: 10.5772/acrt.07

D. Poullin, P. Dorey, Abigael Taylor

{"title":"Potential of Passive DVB-T Radar Component Against Illegal UAV Flights","authors":"D. Poullin, P. Dorey, Abigael Taylor","doi":"10.5772/acrt.07","DOIUrl":"https://doi.org/10.5772/acrt.07","url":null,"abstract":"For now many years, illegal UAV (Unmanned Aerial Vehicle) flights have been observed in different countries and under various environments. The intent of such illegal flights may cover industrial espionage up to terrorist attacks. Countering such an asymmetric threat is now of increasing and challenging interest for many countries. The main compulsory functions for such an anti-UAV system will be briefly discussed from detection, localization, identification/classification, extraction (an UAV has to be isolated from other detections) to the alert function. After this introduction about the context, a description of a passive DVB-T (Digital Video Broadcasting Terrestrial) radar component will be given, and its potential, in regard to the previously described functions, will be illustrated using experimental results. Such a passive approach will be shortly compared with active radar components. Several measurement campaigns have been conducted with quite a huge variety of nano-small UAVs (multirotors such as ANAFI, Mavik, Phantom 4, F450 up to M600 as well as fixed wings such as ranger, Disco, X8 and X11) evolving under various configurations (bistatic bases, different weather conditions) and a selection of the most meaningful results will be presented.","PeriodicalId":431659,"journal":{"name":"AI, Computer Science and Robotics Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500859","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

Addressing Optimisation Challenges for Datasets with Many Variables, Using Genetic Algorithms to Implement Feature Selection 解决多变量数据集的优化挑战，使用遗传算法实现特征选择

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.01

Neil Gordon, C. Kambhampati, Asma Alabad

{"title":"Addressing Optimisation Challenges for Datasets with Many Variables, Using Genetic Algorithms to Implement Feature Selection","authors":"Neil Gordon, C. Kambhampati, Asma Alabad","doi":"10.5772/acrt.01","DOIUrl":"https://doi.org/10.5772/acrt.01","url":null,"abstract":"This article provides an optimisation method using a Genetic Algorithm approach to apply feature selection techniques for large data sets to improve accuracy. This is achieved through improved classification, a reduced number of features, and furthermore it aids in interpreting the model. A clinical dataset, based on heart failure, is used to illustrate the nature of the problem and to show the effectiveness of the techniques developed. Clinical datasets are sometimes characterised as having many variables. For instance, blood biochemistry data has more than 60 variables that have led to complexities in developing predictions of outcomes using machine-learning and other algorithms. Hence, techniques to make them more tractable are required. Genetic Algorithms can provide an efficient and low numerically complex method for effectively selecting features. In this paper, a way to estimate the number of required variables is presented, and a genetic algorithm is used in a “wrapper” form to select features for a case study of heart failure data. Additionally, different initial populations and termination conditions are used to arrive at a set of optimal features, and these are then compared with the features obtained using traditional methodologies. The paper provides a framework for estimating the number of variables and generations required for a suitable solution.","PeriodicalId":431659,"journal":{"name":"AI, Computer Science and Robotics Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126679803","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

The Metaverse—An Alternative Education Space 超宇宙——另一种教育空间

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.05

S. Mistretta

引用次数: 14

Editorial—AI, Computer Science and Robotics Technology 编辑-人工智能，计算机科学与机器人技术

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.06

Timothy Sands

引用次数: 0

Web 2.0 and Knowledge Sharing. A Literature Review Web 2.0和知识共享。文献综述

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.03

Maria Gabriela Ziegler

引用次数: 1

MRF Models Based on a Neighborhood Adaptive Class Conditional Likelihood For Multimodal Change Detection 基于邻域自适应类条件似然的多模态变化检测MRF模型

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.02

M. Mignotte

{"title":"MRF Models Based on a Neighborhood Adaptive Class Conditional Likelihood For Multimodal Change Detection","authors":"M. Mignotte","doi":"10.5772/acrt.02","DOIUrl":"https://doi.org/10.5772/acrt.02","url":null,"abstract":"Statistical methods for automatic change detection, in heterogeneous bitemporal satellite images, remains a challenging research topic in remote sensing mainly because this research field involves the processing of image data with potentially very different statistical behaviors. In this paper, we propose a new Bayesian statistical approach, relying on spatially adaptive class conditional likelihoods which are also adaptive to the considered imaging modality pair and whose parameters are estimated in a first preliminary estimation step. Once that estimation is done, a second stage is dedicated to the change detection segmentation itself based on this likelihood model defined for each pixel and for each imaging modality. In this context, we compare and discuss the performance of different Markovian segmentation strategies obtained in the sense of several non-hierarchical or hierarchical Markovian estimators on real satellite images with different imaging multi-modalities. Based on our original pixel-wise likelihood model, we also compare these Markovian segmentation strategies over the existing state-of-the-art heterogeneous change detection algorithms proposed in the literature.","PeriodicalId":431659,"journal":{"name":"AI, Computer Science and Robotics Technology","volume":"127 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128026510","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: 3

Decentralized Blockchain for Autobiographical Memory in Cognitive Robotics 认知机器人中自传式记忆的去中心化区块链

AI, Computer Science and Robotics Technology Pub Date : 2022-03-28 DOI: 10.5772/acrt.04

Eva R. Porras, M. G. Sánchez-Escribano

{"title":"Decentralized Blockchain for Autobiographical Memory in Cognitive Robotics","authors":"Eva R. Porras, M. G. Sánchez-Escribano","doi":"10.5772/acrt.04","DOIUrl":"https://doi.org/10.5772/acrt.04","url":null,"abstract":"Memory in biological beings is as complex as the rational complexity of that concrete being requires. Clearly, memory helps to conform knowledge bases to serve the needs of the specific natural being. To analogize from Robotics concepts, it seems that the degrees of freedom in the biological being’s memory are higher or lower depending upon the rationality of each living being. \u0000 Robots and artificial systems appear to require analogous structures. That is, to build a reactive system, the requirement of memory is not highly demanding with respect to the degrees of freedom. However, the required degrees of freedom seems to grow as the ability of the artificial system to deliberate increases. Consequently, to design artificial systems that would implement cognitive abilities, it is required to rethink memory structures.\u0000 When designing a Cognitive Artificial System, memory systems should be thought of as highly accessible discrete units. In addition, these systems would require designs in the form of distributed architectures with non-linear features, such as those of human thought. In addition, they should allow for complex mixed types of data (text, images, time or so).\u0000 Blockchain has attracted great interest for a few years now, especially since the appearance of Bitcoin. A blockchain is a distributed ledger that combines an append-only data structure designed to be resistant to modifications, with a consensus protocol [1, 2]. This innovation can be thought of as a sequence of containers, the blocks, that store two things: the information of a “system” and the “service” that such system provides [2], and it provides an interesting starting point to rethink memory systems in robots.","PeriodicalId":431659,"journal":{"name":"AI, Computer Science and Robotics Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122289944","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: 3