Effects of Sampling Methods on Detection of Yarn Quality

Kan, CW; Lau, M. P.

doi:10.1108/rjta-11-04-2007-b007

Cited by 6 publications

(3 citation statements)

References 6 publications

(1 reference statement)

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“…Hostel plays a main role in student life in such variable as we mention in conceptual model has been designed. Numeric of students collected a good memories at the end and some of them fail to adopt cause of the problem has been state in problem statement because the wrongly make a decision among choosing accommodation following by the variables has been research [13].…”

Section: A Research Designmentioning

confidence: 99%

Factors Affecting Students Decision Making In Accommodation Process of University

2019

IJRTE

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The hostels accommodation assumes a critical job in the hotel business all through the world and even in a few areas in Malaysia. Be that as it may, in numerous spots in Malaysian hostels have yet to be presented. They can possibly offer spending lodging accommodation, yet inns and motels remain the most prevalent types of cabin. A center gathering was utilized to pick up understanding into students' impression of hostels and helped in the advancement of a composed study. It was sent to a haphazardly chosen test of 215 university students. There was a reaction rate of 8% (n=401). Respondents thought about hostels and were ready to remain in them. Therefore, a factor investigation was led on 31 attributes of hostels that may be imperative to hostel clients and it was confirmed that these things could be decreased to three factors: Safety and Amenities (α=.92), Area and Socializing (α=.91), and Accommodations (α=.60).In fact, well-being and Amenities had the most elevated mean scores for individual things in the factor while Accommodations had the least. The various straight relapse was utilized to decide whether the three factors would foresee university students ‘plan to remain in a hostel. The relapse demonstrate was huge (p≤.000) and every one of the three factors were noteworthy. The model had a R Square of .31. A t-test was utilized to decide whether guys and females contrasted in goal to remain in a hostel, Protection issue, Room Sharing, Security, Cleanliness Issue and Freedom. However, females had higher mean scores for Room Sharing than guys. This examination demonstrated that undergrads would remain in a hostel. The hostel proprietors/administrators what's more, hostel associations can utilize this data to more readily showcase their hostel and it will help them to figure out which luxuries they should need to meet client requests. Research ought to be led with a bigger and all the more geologically various example to decide whether the results can be summed up past university students. Nonetheless, research with genuine hostel clients will help to decide qualities they believe are essential and to contrast results and this examination.

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Section: A Research Designmentioning

confidence: 99%

Factors Affecting Students Decision Making In Accommodation Process of University

2019

IJRTE

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“…Grishanov et al (2011) utilize computers to simulate complex yarns in 3D models. In addition, as the quality control of textile products and processes are crucial, various technologies become available for improvement in production inspection and control (Kan & Lau, 2007). In addition, some tools are helpful in interacting and collaborating with textile virtual teams.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Information and Communication Technologies in Textile Virtual Collaboration

Fang

To²,

Zhang³

et al. 2014

Research Journal of Textile and Apparel

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Modern organizations face more and more challenges in today's globalizing markets. Many textile firms operate collaboratively as a globally-networked virtual team to sustain their competitiveness. How to select and utilize a diversity of information and communication technologies (ICTs) to facilitate collaboration among these textile virtual teams is a critical issue to these enterprises. This paper explores the criteria of ICT adoption in collaboration processes from both theoretical and practical perspectives. First, ICTs theories of telecommunications are reviewed to conclude background knowledge and examine contextual requirements for ICTs. We find that the conveyance of social cues, the ability of fostering member involvement and coordinating interruptions, and the user-friendly interface of communication technology are crucial to the remote collaboration among textile firms. Second, empirical in-depth interviews with 20 practitioners in textile and apparel companies are conducted. Then, combining the findings, we discuss the features of primary ICTs adopted in practice at present. We recommend six essential facets in ICTs adoption during textile virtual team communication (i.e. synchronicity, medium richness, connectedness, disruptiveness, ease of use, and cost). We also suggest how these ICTs can be deployed in line with organizational and individual factors to facilitate textile virtual collaboration.

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“…All offline detection data of yarns could be directly deduced from online detected data using these correlated functions to reduce the scale or even omit the costly and time-consuming offline detection. 13…”

mentioning

confidence: 99%

Correlation functions between online and offline detected yarn

Ni³

et al. 2019

Textile Research Journal

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Electronic yarn clearer online detected data can be used to justify whether the evenness performance of yarn meets the standard for further processing. The reliability of offline detection is limited by the sample numbers. Based on the analysis of 100 sets of yarn performances (both online and offline) and assuming that external factors are fixed, linear fitting was performed to obtain the correlation functions between online and offline data of yarn performance. Finally, the correlation functions between the online detected data, coefficient of variation value and hairiness H value and offline detected data were established. The correlations between these parameters are significant. In particular, the function-deduced confidence and prediction intervals are very useful to forecast abnormal conditions during real yarn production. The production efficiency could be significantly improved under the guiding of these correlation functions.

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Effects of Sampling Methods on Detection of Yarn Quality

Cited by 6 publications

References 6 publications

Factors Affecting Students Decision Making In Accommodation Process of University

Factors Affecting Students Decision Making In Accommodation Process of University

Adoption of Information and Communication Technologies in Textile Virtual Collaboration

Correlation functions between online and offline detected yarn

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