• Fashion & Textile Research Journal
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• v.6 no.6
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• pp.707-714
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• 2004

This study was carried out to research the actual condition of narrator models' wearing uniform, targeting on the narrator models who are being currently active and are from 19-year-old to 30-year-old. A poll was performed through visiting internet circles and spots, and the characteristic of objects, the form of uniform, attitude on uniform, dissatisfaction index on wearing uniform and preference index on wearing uniform were researched. It was carried out from August 18, 2003 to August 31, 2003. In order to perform this study, 161 questionnaires were used in all, and frequency analysis was implemented using SPSS 10.0. The objects of study were composed of female. Those who are from 21-year-old to 25-year-old accounted for 74.5%, and those who have career from 2 years to 3 years accounted for 75.5%. In respect to attitude on wearing uniform, affirmative answers, affirmative answers, such as a sense of belonging, a pride in activity and increase of efficiency, accounted for 68.8%. On the other hand, in respect to a harmonization between uniform and work, just the 39.8-percent showed affirmative reaction. Concerning the functionality of uniform, such as retaining warmth and ventilating, dissatisfaction index showed very high value; it is judged that it should be improved henceforth. Working postures were researched, following the order of standing posture and arm-using posture. In inconvenient actions, bending down and moving arms were orderly pointed out. With regard to the dissatisfaction of size, busts, the length of skirt and waist girth were orderly pointed out. Likewise, considering the parts of which room is required, bust, hip girth and waist girth were orderly pointed out. As to the points that should be bettered, design and functionality were orderly pointed out. In respect to materials of uniform, sweat-absorption material, light material and well-ventilated material were orderly suggested.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.151-160
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• 2023

The Hadith is the second source of Islamic jurisprudence after Qur'an. Both sources are indispensable for muslims to practice Islam. All Ahadith are collected and are written. But most books of Hadith contain Ahadith that can be weak or rejected. So, quite a long time, scholars of Hadith have defined laws, rules and principles of Hadith to know the correct Hadith (Sahih) from the fair (Hassen) and weak (Dhaif). Unfortunately, the application of these rules, laws and principles is done manually by the specialists or students until now. The work presented in this paper is part of the automatic treatment of Hadith, and more specifically, it aims to automatically process the chain of narrators (Hadith Isnad) to find its different components and affect for each component its own tag using a statistical method: the Hidden Markov Models (HMM). This method is a power abstraction for times series data and a robust tool for representing probability distributions over sequences of observations. In this paper, we describe an important tool in the Hadith isnad processing: A chunker with HMM. The role of this tool is to decompose the chain of narrators (Isnad) and determine the tag of each part of Isnad (POI). First, we have compiled a tagset containing 13 tags. Then, we have used these tags to manually conceive a corpus of 100 chains of narrators from "Sahih Alboukhari" and we have extracted a lexicon from this corpus. This lexicon is a set of XML documents based on HPSG features and it contains the information of 134 narrators. After that, we have designed and implemented an analyzer based on HMM that permit to assign for each part of Isnad its proper tag and for each narrator its features. The system was tested on 2661 not duplicated Isnad from "Sahih Alboukhari". The obtained result achieved F-scores of 93%.