International Journal of Mathematical Engineering and Management Sciences最新文献_第4页

Az utánpótlás labdarúgással kapcsolatos szülői szerepek vizsgálata 探讨家长在青少年足球运动中的作用

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-09-29 DOI: 10.21791/ijems.2023.029

Zoltán Szalánczi, Éva Bácsné Bába

{"title":"Az utánpótlás labdarúgással kapcsolatos szülői szerepek vizsgálata","authors":"Zoltán Szalánczi, Éva Bácsné Bába","doi":"10.21791/ijems.2023.029","DOIUrl":"https://doi.org/10.21791/ijems.2023.029","url":null,"abstract":"Vizsgálatom alapját az adja, hogy a sport fejlődésének és a szektorba áramló tőkének köszönhetően az utánpótlássport immár nem csak a gyermekek szabadidejének hasznos eltöltését és az egészséges életmódra nevelés egy eszközét jelenti, hanem egy lehetőséget is a felnőttkori sportolói karrier megalapozására és ezzel együtt a későbbi biztos egzisztencia megteremtésére. Ahhoz, hogy a képzés hatásos és produktív legyen a sok összetevőből az egyik alapfeltétel a szülői támogatás megléte. A fiatalkori versenysport rengeteg kihívást jelent egy család számára és több aspektusból vizsgálva is befolyásolja az életüket. Kutatásom során megvizsgáltam, hogy bizonyos demográfiai változók tekintetében az utánpótlássport miként hat a szülőkre, milyen változásokat generál a családi életükben és arra is figyelmet fordítottam, hogy a családban milyen elvárások fogalmazódnak meg a sporttal szemben. A vizsgálat alapját egy online kérdőíves felmérésem adja, melyet több mint 700-an töltöttek ki a szülők közül országosan a labdarúgó utánpótlás nevelő egyesületek teljes vertikumában. Kutatásomból kiderült, hogy a korábbi témához köthető szakirodalmaknak megfelelően az általam vizsgált szülők életére is jelentős hatással van a gyermekük sportolása és különböző elvárásokat fogalmaznak meg azzal kapcsolatban, melyeket különböző szociális és demográfiai tényezők is befolyásolnak.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135199397","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

Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering 机械工程中的制造工艺优化与刀具状态监测

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-09-29 DOI: 10.21791/ijems.2023.026

Krisztián Deák, József Menyhárt

{"title":"Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering","authors":"Krisztián Deák, József Menyhárt","doi":"10.21791/ijems.2023.026","DOIUrl":"https://doi.org/10.21791/ijems.2023.026","url":null,"abstract":"The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135243465","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

Digitalization Trends and Their Possible Implications to SME Performance: Comparative Study Between Hungary and Azerbaijan 数字化趋势及其对中小企业绩效的可能影响:匈牙利和阿塞拜疆的比较研究

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-09-29 DOI: 10.21791/ijems.2023.021

Leyla Mahmudova

引用次数: 0

Novel Heuristic Algorithm & its Application for Reliability Optimization 新型启发式算法及其在可靠性优化中的应用

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.043

Tripti Dahiya, Nakul Vashishth, D. Garg, A. Shrivastava, P. Kapur

{"title":"Novel Heuristic Algorithm & its Application for Reliability Optimization","authors":"Tripti Dahiya, Nakul Vashishth, D. Garg, A. Shrivastava, P. Kapur","doi":"10.33889/ijmems.2023.8.4.043","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.4.043","url":null,"abstract":"Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms. This paper presents a novel heuristic algorithm named the Dahiya-Garg Heuristic Algorithm (DG-Alg) to find the optimal solution for constrained reliability redundancy allocation optimization problems. The cornerstone of the novel DG-Alg is its novel selection factor, which is a mathematical formula that helps the heuristic algorithm search for optimal subsystems for reliability optimization. A novel formulated selection factor in DG-Alg has increased its effectiveness and efficiency. To analyze the performance of the proposed heuristic algorithm and the other three existing heuristic algorithms, they are applied to a problem taken from a pharmaceutical manufacturing plant named Yaris Pharmaceuticals. During the application of the heuristic algorithms, it was ensured that redundancy allocation was done within stipulated cost constraints. Further, a comparative analysis of the obtained results has been done to judge the performance of the proposed heuristic algorithm. It is deduced that the proposed heuristic algorithm gives optimized and computationally efficient results in comparison to the other existing heuristic algorithms.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43387077","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

Reliability Evaluation and Prediction Method with Small Samples 小样本可靠性评估与预测方法

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.032

Hongyan Dui, Xinghui Dong, J. Tao

{"title":"Reliability Evaluation and Prediction Method with Small Samples","authors":"Hongyan Dui, Xinghui Dong, J. Tao","doi":"10.33889/ijmems.2023.8.4.032","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.4.032","url":null,"abstract":"How to accurately evaluate and predict the degradation state of the components with small samples is a critical and practical problem. To address the problems of unknown degradation state of components, difficulty in obtaining relevant environmental data and small sample size in the field of reliability prediction, a reliability evaluation and prediction method based on Cox model and 1D CNN-BiLSTM model is proposed in this paper. Taking the historical fault data of six components of a typical load-haul-dump (LHD) machine as an example, a reliability evaluation method based on Cox model with small sample size is applied by comparing the reliability evaluation models such as logistic regression (LR) model, support vector machine (SVM) model and back propagation neural network (BPNN) model in a comprehensive manner. On this basis, a reliability prediction method based on one-dimensional convolutional neural network-bi-directional long and short-term memory network (1D CNN-BiLSTM) is applied with the objective of minimizing the prediction error. The applicability as well as the effectiveness of the proposed model is verified by comparing typical time series prediction models such as the autoregressive integrated moving average (ARIMA) model and multiple linear regression (MLR). The experimental results show that the proposed model is valuable for the development of reliability plans and for the implementation of reliability maintenance activities.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46959633","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

Deep Learning Based on Fine Tuning with Application to the Reliability Assessment of Similar Open Source Software 基于微调的深度学习及其在同类开源软件可靠性评估中的应用

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.036

Y. Tamura, Shigeru Yamada

引用次数: 0

Hierarchical Reliability Modelling and Analysis of Life Support System of Fighter Aircraft 战斗机生命保障系统分层可靠性建模与分析

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.034

Anubhav Tandon, Vidhya Bhushan Verma, S. Chaturvedi

{"title":"Hierarchical Reliability Modelling and Analysis of Life Support System of Fighter Aircraft","authors":"Anubhav Tandon, Vidhya Bhushan Verma, S. Chaturvedi","doi":"10.33889/ijmems.2023.8.4.034","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.4.034","url":null,"abstract":"The paper proposes a hierarchical reliability modelling and assessment approach for a life support system (LSS) that provides oxygen to the pilot and is employed in a combat aircraft. The system has the primary function of generating oxygen onboard, and it has a backup gaseous oxygen tank as redundancy. An emergency oxygen bottle is also part of the ejection seat for emergency use. Both backup oxygen and emergency oxygen have a fixed capacity and a fixed duration of oxygen supply. Therefore, it is crucial to assess the reliability of the LSS to ensure its safety and effectiveness of this LSS during a mission by the combat aircraft. The proposed reliability model of LSS is developed as a two-level hierarchical model, that captures the inherent randomness in the operation of the system. At the lowest level of the hierarchy, Markov chains are used to model the events that may lead to the failure of the LSS. The events include the failure of individual components, the depletion of backup oxygen, and the depletion of emergency oxygen. The Markov chains consider the interactions between individual components and events during the mission profile. At the top level of the hierarchy, a fault tree is used to model the interactions between various events during the mission profile. The fault tree considers the interactions between individual events and the effects of redundancy on the reliability of the LSS. The results of the Markov chains at the lower level are exported to the higher level modelled via fault tree to find the overall system reliability. The reliability model is further extended to incorporate the deterministic nature of the LSS due to the fixed capacity of the backup tank and emergency bottle. The work addresses the modelling of six different scenarios of LSS operations. The modelling of these scenarios is achieved using Semi-Markov Processes (SMP), which allow the state holding time to be a general distribution.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45191285","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

Picture Fuzzy Knowledge Measure with Application to MADM 图片模糊知识测度及其在MADM中的应用

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.038

Devender Kumar Sharma, Koushal Singh, Surender Singh

引用次数: 0

Probabilistic Audit in a Revenue Sharing Contract Under Asymmetric Demand Information 需求信息不对称条件下收益共享契约的概率审计

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.037

J. Bhattacharyya, R. Marathe, G. Srinivasan

{"title":"Probabilistic Audit in a Revenue Sharing Contract Under Asymmetric Demand Information","authors":"J. Bhattacharyya, R. Marathe, G. Srinivasan","doi":"10.33889/ijmems.2023.8.4.037","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.4.037","url":null,"abstract":"A two-echelon supply chain comprising a supplier and a retailer, coordinated by a revenue-sharing contract has been studied. The supplier knows the realized demand only from a sales report submitted by the retailer at the end of each decision period. Possession of private information about the market demand allows the retailer to under-report sales. To protect revenue loss from this under-reporting, the supplier uses audit probabilistically to check the retailer’s dishonesty. Unlike designing a mechanism for the supplier to elicit private information from the retailer, which has been predominantly discussed in the literature, this study proposes a policy where the players can improve their expected profit compared to what they would have earned when the retailer had to reveal truthful information. Our study finds that the supplier benefits from the retailer’s dishonesty, provided dishonesty is limited with the help of a probabilistic audit process. Both players' expected profits are higher in our proposed policy than what they would earn under a truth-inducing policy. These findings suggest that future studies focus on achieving social welfare instead of concentrating only on truth-inducing mechanisms. A numerical analysis of the optimization problem is performed to find the optimal audit probability. Our results will help a manager in a supplying firm design a revenue-sharing contract when she cannot observe her retailer’s revenue without an audit.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69510717","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

Does Productivity Really Matter for Profitability? Evidence from a Publicly Owned Transport Corporation 生产率对盈利真的重要吗?来自一家公共运输公司的证据

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-08-01 DOI: 10.33889/ijmems.2023.8.4.033

S. Singh, Vijay Singh

引用次数: 0