Pub Date : 2017-01-01DOI: 10.1504/IJMTM.2017.10011945
K. Sathiyasekar, S. Gopinath
{"title":"Prediction and classification of insulation failures inRotating Machines an Enhanced Approach","authors":"K. Sathiyasekar, S. Gopinath","doi":"10.1504/IJMTM.2017.10011945","DOIUrl":"https://doi.org/10.1504/IJMTM.2017.10011945","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"20 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79087843","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}
Pub Date : 2017-01-01DOI: 10.1504/IJMTM.2017.10011891
G. Swaminathan, G. Murugesan
{"title":"FPGA Implementation of Gate Level Modified Adaptive Filter Architecture for Noise Cancellation Application","authors":"G. Swaminathan, G. Murugesan","doi":"10.1504/IJMTM.2017.10011891","DOIUrl":"https://doi.org/10.1504/IJMTM.2017.10011891","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"50 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87331601","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}
Pub Date : 2016-04-09DOI: 10.1007/978-3-030-39149-2_11
A. Irhoma, D. Su, M. Higginson
{"title":"An Analysis and Evaluation of the Environmental Impacts of ‘Upstream’ Petroleum Operations","authors":"A. Irhoma, D. Su, M. Higginson","doi":"10.1007/978-3-030-39149-2_11","DOIUrl":"https://doi.org/10.1007/978-3-030-39149-2_11","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"76 1","pages":"116-142"},"PeriodicalIF":0.0,"publicationDate":"2016-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82972898","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}
Pub Date : 2016-01-01DOI: 10.1504/ijmtm.2016.10014201
R. Rajasekaran
{"title":"Regression modeling and simulated annealing optimization of cylindrical grinding process","authors":"R. Rajasekaran","doi":"10.1504/ijmtm.2016.10014201","DOIUrl":"https://doi.org/10.1504/ijmtm.2016.10014201","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"1 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90117767","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}
Pub Date : 2016-01-01DOI: 10.1504/IJMTM.2016.10005268
R. Srinivasan, S. Abuthakeer, S. Soosairaj, K. Padmanaban
{"title":"EXPERIMENTAL STUDY ON MINIMISATION OF BORING BAR VIBRATION AND SURFACE ROUGHNESS OF THE WORKPIECE USING VISCOELASTIC PARTICLE DAMPING","authors":"R. Srinivasan, S. Abuthakeer, S. Soosairaj, K. Padmanaban","doi":"10.1504/IJMTM.2016.10005268","DOIUrl":"https://doi.org/10.1504/IJMTM.2016.10005268","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"5 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74277810","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}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066699
Jianzhang Wu, X. Yu, Wei Gao
As acknowledge representation model, ontology has wide applications in information retrieval and other disciplines. Ontology concept similarity calculation is a key issue in these applications. One approach for ontology application is to learn an optimal ontology score function which maps each vertex in graph into a real-value. And the similarity between vertices is measured by the difference of their corresponding scores. The multi-dividing ontology algorithm is an ontology learning trick such that the model divides ontology vertices into k parts correspond to the k classes of rates. In this paper, we propose the gradient descent multi-dividing ontology algorithm based on iterative gradient computation and yield the learning rates with general convex losses by virtue of the suitable step size and regularisation parameter selection.
{"title":"Learning rate of gradient descent multi-dividing ontology algorithm","authors":"Jianzhang Wu, X. Yu, Wei Gao","doi":"10.1504/IJMTM.2014.066699","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066699","url":null,"abstract":"As acknowledge representation model, ontology has wide applications in information retrieval and other disciplines. Ontology concept similarity calculation is a key issue in these applications. One approach for ontology application is to learn an optimal ontology score function which maps each vertex in graph into a real-value. And the similarity between vertices is measured by the difference of their corresponding scores. The multi-dividing ontology algorithm is an ontology learning trick such that the model divides ontology vertices into k parts correspond to the k classes of rates. In this paper, we propose the gradient descent multi-dividing ontology algorithm based on iterative gradient computation and yield the learning rates with general convex losses by virtue of the suitable step size and regularisation parameter selection.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"5 1","pages":"217-230"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84510844","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}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066693
Li Liu, W. Jia, Dezhang Xu, Li Renjun
In this paper, a technique of profile shaft connection is extended to optimise transmission structure for cost reduction, enhancing flexibility and agility, and satisfying mechanical reliability. First, critical parameters and decision-making procedures are addressed. Then two applied cases are investigated. One is four-sided polygon profile shaft connection replacing involute spline connection in washing machine drive system. The other is shaft assembly which can slide and adjust its length in the reconfigurable manufacturing line. The results significantly demonstrate the effectiveness of profile shaft connection.
{"title":"A profile shaft connection technique and its applications in transmission structure","authors":"Li Liu, W. Jia, Dezhang Xu, Li Renjun","doi":"10.1504/IJMTM.2014.066693","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066693","url":null,"abstract":"In this paper, a technique of profile shaft connection is extended to optimise transmission structure for cost reduction, enhancing flexibility and agility, and satisfying mechanical reliability. First, critical parameters and decision-making procedures are addressed. Then two applied cases are investigated. One is four-sided polygon profile shaft connection replacing involute spline connection in washing machine drive system. The other is shaft assembly which can slide and adjust its length in the reconfigurable manufacturing line. The results significantly demonstrate the effectiveness of profile shaft connection.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"24 1","pages":"336-348"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84720433","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}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066703
A. Pandi, P. Sethupathi, D. Jeyathilagar
Quality of education is becoming important in the world of competitive environment. There is definitely a need to adopt change in the educational processes in order to improve and stay ahead in the business of education. Till date in India, most of the self-financed engineering institutions are considering the performance of top-notch institutions as quality benchmarks and role models in finalising their academic activities. However, they have failed to adopt a strategy to follow a definite quality model. The main purpose of this research paper is to investigate the adoption of integrated educational quality management system (IEQMS) practice to polarise quality education in engineering educational institutions (EEIs) in India from the perspective of a teaching faculty. In this paper, a comprehensive instrument is prepared based on ten critical factors with 113 variables of IEQMS to measure the performance of the institutions. The collected data has been analysed and interpreted by using statistical tools like factor analysis, ANOVA and correlation. Based on this analysis, it is found that the ten critical factors of IEQMS significantly support to achieve quality in EEIs.
{"title":"IEQMS model: a leveraging mechanism to polarise quality in engineering educational institutions - an empirical study","authors":"A. Pandi, P. Sethupathi, D. Jeyathilagar","doi":"10.1504/IJMTM.2014.066703","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066703","url":null,"abstract":"Quality of education is becoming important in the world of competitive environment. There is definitely a need to adopt change in the educational processes in order to improve and stay ahead in the business of education. Till date in India, most of the self-financed engineering institutions are considering the performance of top-notch institutions as quality benchmarks and role models in finalising their academic activities. However, they have failed to adopt a strategy to follow a definite quality model. The main purpose of this research paper is to investigate the adoption of integrated educational quality management system (IEQMS) practice to polarise quality education in engineering educational institutions (EEIs) in India from the perspective of a teaching faculty. In this paper, a comprehensive instrument is prepared based on ten critical factors with 113 variables of IEQMS to measure the performance of the institutions. The collected data has been analysed and interpreted by using statistical tools like factor analysis, ANOVA and correlation. Based on this analysis, it is found that the ten critical factors of IEQMS significantly support to achieve quality in EEIs.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"99 1","pages":"257-274"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85474469","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}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066704
M. Moreira, C. Machado
The study approaches theoretical contributes on recruiting, selecting, training and performance evaluation processes, as well as work satisfaction, work motivation and stress. Empirical study diagnoses these processes considering the perceptions of Portuguese National Police [Policia de Seguranca Publica (PSP)] professionals, as well as their motivation and satisfaction levels, main stress sources and repercussions on performance. Quantitative methodology was chosen. The evaluation protocol included measuring scales for stress sources, satisfaction with life, organisational commitment and perception on human resources (HR) processes. Analysis procedures included descriptive statistics, univariable and multivariable comparative analysis and regression analysis. The sample consisted of 146 professionals from six police stations. The analysis led to concluding on the need to perform changes on the human resources management (HRM) processes. Satisfaction with life and organisational commitment relate amongst themselves and inversely with stress sources, with all correlations being affected by demographic variables and by constraints derived from professional activity.
{"title":"Recruitment, selection, training and performance evaluation at the Portuguese Public Safety Police – repercussions on work satisfaction, motivation and performance","authors":"M. Moreira, C. Machado","doi":"10.1504/IJMTM.2014.066704","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066704","url":null,"abstract":"The study approaches theoretical contributes on recruiting, selecting, training and performance evaluation processes, as well as work satisfaction, work motivation and stress. Empirical study diagnoses these processes considering the perceptions of Portuguese National Police [Policia de Seguranca Publica (PSP)] professionals, as well as their motivation and satisfaction levels, main stress sources and repercussions on performance. Quantitative methodology was chosen. The evaluation protocol included measuring scales for stress sources, satisfaction with life, organisational commitment and perception on human resources (HR) processes. Analysis procedures included descriptive statistics, univariable and multivariable comparative analysis and regression analysis. The sample consisted of 146 professionals from six police stations. The analysis led to concluding on the need to perform changes on the human resources management (HRM) processes. Satisfaction with life and organisational commitment relate amongst themselves and inversely with stress sources, with all correlations being affected by demographic variables and by constraints derived from professional activity.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"2 1","pages":"275-305"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78743418","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}
Pub Date : 2014-01-01DOI: 10.1504/IJMTM.2014.066694
Bin Huang, Liang Chen
In this paper, a new method based on intuitionistic fuzzy sets is proposed to solve the partner selection problem in a manufacturing virtual enterprise. Based on the concept of average delivery time satisfaction degree, the formulated partner selection problem is interpreted so as to maximise the score of average delivery time satisfaction degree. The model takes into account the factors of average delivery time satisfaction degree, due date, cost and the precedence of tasks. To solve the problem, an improved particle swarm optimisation (PSO) algorithm is proposed. Finally, the simulation of a numerical example and comparisons with the standard PSO algorithm demonstrate that the improved PSO algorithm can effectively improve the searching quality, and the method is effective.
{"title":"Partner selection in a manufacturing virtual enterprise based on intuitionistic fuzzy sets","authors":"Bin Huang, Liang Chen","doi":"10.1504/IJMTM.2014.066694","DOIUrl":"https://doi.org/10.1504/IJMTM.2014.066694","url":null,"abstract":"In this paper, a new method based on intuitionistic fuzzy sets is proposed to solve the partner selection problem in a manufacturing virtual enterprise. Based on the concept of average delivery time satisfaction degree, the formulated partner selection problem is interpreted so as to maximise the score of average delivery time satisfaction degree. The model takes into account the factors of average delivery time satisfaction degree, due date, cost and the precedence of tasks. To solve the problem, an improved particle swarm optimisation (PSO) algorithm is proposed. Finally, the simulation of a numerical example and comparisons with the standard PSO algorithm demonstrate that the improved PSO algorithm can effectively improve the searching quality, and the method is effective.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":"6 1","pages":"349-362"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86521925","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：