Soft Computing Approach for Mathematical Modeling of Engineering Problems最新文献

Industrial Internet of Things and Industry 4.0 工业物联网与工业4.0

Soft Computing Approach for Mathematical Modeling of Engineering Problems Pub Date : 2021-09-02 DOI: 10.1201/9781003138341-3-3

Suchitra Kumari, Arijit Ghosh, S. Mondal, A. Ahmadian, S. Salahshour

{"title":"Industrial Internet of Things and Industry 4.0","authors":"Suchitra Kumari, Arijit Ghosh, S. Mondal, A. Ahmadian, S. Salahshour","doi":"10.1201/9781003138341-3-3","DOIUrl":"https://doi.org/10.1201/9781003138341-3-3","url":null,"abstract":"Digital Darwinism or Internet of things is the minute integration of Artificial intelligence and machine learning to transform the world into sensors where nothing will just “stop at a screen”. Internet of things refers to devices that normally do not require connectivity but are connected to each other via the internet and function smoothly without human action. Usage of this in businesses will depend on the implementation, efficiency and agility with which the systems are put into place. Industries 4.0 are adding sensors to their products so that the usage statistics can be reported back and any glitch can be cured before the object malfunctions and gives a bad name to the company. To have a reliable Internet of things network the most important thing is the compatibility standards which refers to the connected devices being able to talk and share data and recordings. In case all the devices run on different standards then they will be unable to match with each other and hence the interconnected system will break down at one or more links. Security is one of the key factors for its widespread use since the sensors collect extremely sensitive data. Once businesses adopt the advanced use of technology it might lead to critical attacks on the infrastructure or industrial espionage if there is no encryption done to sensors, gateways and company networks. The Internet of things bridges the gap between the digital world and the physical world, therefore hacking will lead to catastrophic real-world consequences.","PeriodicalId":143757,"journal":{"name":"Soft Computing Approach for Mathematical Modeling of Engineering Problems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133515191","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: 1

Vision-Based Efficient Collision Avoidance Model Using Distance Measurement 基于视觉的距离测量高效避碰模型

Soft Computing Approach for Mathematical Modeling of Engineering Problems Pub Date : 2021-09-02 DOI: 10.1201/9781003138341-12-12

A. Saif, Z. R. Mahayuddin, H. Arshad

{"title":"Vision-Based Efficient Collision Avoidance Model Using Distance Measurement","authors":"A. Saif, Z. R. Mahayuddin, H. Arshad","doi":"10.1201/9781003138341-12-12","DOIUrl":"https://doi.org/10.1201/9781003138341-12-12","url":null,"abstract":"The Fourth industrial revolution (IR 4.0) saw the emergence of computer vision and artificial intelligence in creating smart imaging systems that can replace human vision and decision making especially to predict models for autonomous vehicles. In this context, advanced prediction of probable collision in real time scenario is an unsolved problem especially in the use of artificial intelligence and computer vision for autonomous vehicles. This research proposed an efficient collision avoidance model to avoid collision in real time scenario. Proposed model differs from other methods in a way that it does not require any other equipment like sensors for measuring distance between the vehicles. Proposed collision avoidance model estimates the relation between distance and size of the vehicle in real time scenario to generate an approximate notion of distance between the vehicles. Then, the ratio of distance between vehicles and size of the vehicle was used to depict vehicles that are in potentially dangerous positions for probable collision. Proposed collision avoidance model was experimented in the real-time traffic and experimental results showed that the model could detect vehicles in order to avoid the probable collisions efficiently. Proposed model is expected to be a possible tool in dealing with future demand of autonomous vehicles with the increase of 4IR technologies.","PeriodicalId":143757,"journal":{"name":"Soft Computing Approach for Mathematical Modeling of Engineering Problems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172698","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

Industry 4.0 and Its Practice in Terms of Fuzzy Uncertain Environment 模糊不确定环境下的工业4.0及其实践

Soft Computing Approach for Mathematical Modeling of Engineering Problems Pub Date : 2021-09-02 DOI: 10.1201/9781003138341-4-4

Arijit Ghosh, Suchitra Kumari, S. Mondal, A. Ahmadian

引用次数: 0

Consistency of Aggregation Function-Based m-Polar Fuzzy Digraphs in Group Decision Making 基于聚集函数的m极模糊有向图在群体决策中的一致性

Soft Computing Approach for Mathematical Modeling of Engineering Problems Pub Date : 2021-09-02 DOI: 10.1201/9781003138341-5-5

Azadeh Zahedi Khameneh, A. Kılıçman, F. Ali

{"title":"Consistency of Aggregation Function-Based m-Polar Fuzzy Digraphs in Group Decision Making","authors":"Azadeh Zahedi Khameneh, A. Kılıçman, F. Ali","doi":"10.1201/9781003138341-5-5","DOIUrl":"https://doi.org/10.1201/9781003138341-5-5","url":null,"abstract":"This study investigates the consistency problem of m-polar fuzzy preference relations, presented by m-polar fuzzy digraphs, during the consensus phase in group decision making. At first, a conjunction-based framework is presented to generalize the concept of m-polar fuzzy relation on an m-polar fuzzy set. Consequently, the definition of m-polar fuzzy graphs is developed by using an arbitrary conjunctive aggregation operator rather than the minimum. This change enables us to measure the strength of the relation between each pair of objects in an m-polar fuzzy graph based on the membership values of both not necessarily the lowest one. Next, by using the aggregation functions, new types of reflexivity, symmetry, antisymmetry and transitivity are given on an m-polar fuzzy relation. Then, m-polar fuzzy preference relation is derived, where the preferences are in the form of aggregation-based transitivite, and modeled by the m-polar fuzzy digraph. A theorem is given to consider the sufficient conditions for preservation of the consistency of aggregation-based m-polar fuzzy preferences during the consensus process. Lastly, an algorithm is designed to model the final consistence priority by using digraphs. A numerical example is also given to illustrate the proposed method.","PeriodicalId":143757,"journal":{"name":"Soft Computing Approach for Mathematical Modeling of Engineering Problems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132381482","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

Soft Computing Techniques: An Overview 软计算技术:概述

Soft Computing Approach for Mathematical Modeling of Engineering Problems Pub Date : 2021-09-02 DOI: 10.1201/9781003138341-1-1

M. Pakdaman, A. Ahmadian, S. Salahshour

引用次数: 0