Academic literature on the topic 'Work clothes'

Abstract. The phenomenon of trends and the increasing number of headscarves in Indonesia is accompanied by an increasing number of female workers who wear headscarves, especially in a number of formal offices in big cities, both private and government agencies. However, formal Muslim work attire today in general, many are just following the trend without regard to the suitability of the function of work clothes and in terms of Islamic sharia. This research was conducted to look for criteria or standardization of Muslim work attire, both in terms of silhouette and material usage. The analysis was conducted on the types of formal and semi-official clothing in the formal sector work environment, namely by using a number of pictures or photographs of Muslim women's work clothes from personal documentation, magazines, and online trading sites. Each picture is then given points 1-5 based on the criteria for the function of work clothes and Islamic sharia. The Islamic sharia concept which is used as a reference in assessing the limits of the aahah of Muslim clothing, is the interpretation of Islam to the traditionalists and modernists in Indonesia. The results of the analysis are grouped into three with the highest point value of four to five points. There are Muslim work clothes in accordance with Islamic sharia but do not approach the basic concept of work clothes, Muslim work clothes that are in accordance with the concept of work clothes but do not suffice for sharia values, and Muslim work clothes that meet the value of both.Abstrak. Fenomena tren dan meningkatnya pengguna jilbab di Indonesia diiringi dengan meningkatnya jumlah pekerja wanita yang menggunakan jilbab khususnya pada sejumlah perkantoran formal di kota besar baik instansi swasta maupun pemerintahan. Namun demikian busana kerja muslim formal saat ini pada umumnya banyak yang hanya mengikuti tren tanpa memperhatikan kesesuaian fungsi busana kerja maupun dari segi syariah Islam. Penelitian ini dilakukan untuk mencari kriteria atau standarisasi gaya busana kerja muslim, baik dari segi siluet maupun penggunaan material. Analisis dilakukan pada jenis busana resmi maupun setengah resmi pada lingkungan pekerjaan sektor formal, yaitu dengan menggunakan sejumlah gambar atau foto busana kerja muslim wanita baik yang berasal dokumentasi pribadi, majalah, serta situs jual-beli online. Setiap gambar kemudian diberikan poin 1-5 berdasarkan kriteria fungsi busana kerja dan syariah Islam. Adapun konsep syariah Islam yang digunakan sebagai acuan dalam menilai batasan aurat busana muslimah, adalah penafsiran Islam pada kaum tradisionalis dan modernis di Indonesia. Hasil analisis dikelompokan menjadi tiga dengan nilai poin tertinggi yaitu empat sampai dengan lima poin. Terdapat busana kerja muslimah sesuai dengan syariah Islam namun tidak mendekati konsep dasar busana kerja, busana kerja muslimah yang sesuai konsep busana kerja namun tidak mencukupi nilai syariah, serta busana kerja muslimah yang mencukupi nilai keduanya.

Purpose There are various style options available when one buys clothes on online shopping websites, however the availability the new fashion trends or choices require further user interaction in generating fashionable clothes. The paper aims to discuss this issue. Design/methodology/approach Based on generative adversarial networks (GANs) from the deep learning paradigm, here the authors suggest model system that will take the latest fashion trends and the clothes bought by users as input and generate new clothes. The new set of clothes will be based on trending fashion but at the same time will have attributes of clothes where were bought by the consumer earlier. Findings In the proposed machine learning based approach, the clothes generated by the system will personalized for different types of consumers. This will help the manufacturing companies to come up with the designs, which will directly target the customer. Research limitations/implications The biggest limitation of the collected data set is that the clothes in the two domains do not belong to a specific category. For instance the vintage clothes data set has coats, dresses, skirts, etc. These different types of clothes are not segregated. Also there is no restriction on the number of images of each type of cloth. There can many images of dresses and only a few for the coats. This can affect the end results. The aim of the paper was to find whether new and desirable clothes can be created from two different domains or not. Analyzing the impact of “the number of images for each class of cloth” is something which is aim to work in future. Practical implications The authors believe such personalized experience can increase the sales of fashion stores and here provide the feasibility of such a clothes generation system. Originality/value Applying GANs from the deep learning models for generating fashionable clothes.

The phenomenon of hijab trend in Indonesia runs concurrently with the increasing number of working women who wear hijab particularly at a number of offices in major cities, both private and state agencies. However, the formal Muslimah’s work clothes currently follow the trend with no regard to the suitability of the function of the work clothes and Islamic shari’a. This study aims at obtaining the criteria for Muslimah’s work clothes, in terms of silhouette and materials used. The research method employed is literature review on the criteria, as well as the analysis of a number of Muslimah’s work clothes images obtained from personal documentation, magazines, and online shops. The finding shows three groups of Muslimah work clothes: closed to shari’a criteria, to basic concept of work clothes, and to both groups. The perspective of modernist Islamic in Indonesia, regarding the forms of hijab is used as a benchmark for analyzing the Islamic shari’a criteria. Work clothes in accordance with the Islamic criteria, work functions and trends, are expected to help Muslimah workers dressed in syar’i, professional, and trendy hijabs.

The article deals with the ways of working conditions improvement for employees that work in the open air during the cold period of the year for a long time. Hypothermia of the body is a consequence of thermal disorder. Such disorder develops in cases when the body heat loss exceeds the heat emission. Untimely regulation of heat exchange processes can lead to various occupational diseases, frostbite, and even death. Hypothermia is promoted by physical fatigue, high humidity and strong wind. The results of the work show that in order to reduce the level of occupational diseases and improve the heat exchange processes of employees working in low temperature conditions it is necessary to provide them with special warmed work clothes with additional heating element (sodium acetate heating pad). Such clothes will provide comfortable thermal conditions in the underwear of the worker.

Estimating the 3D shape of objects from monocular images is a well-established and challenging task in the computer vision field. Further challenges arise when highly deformable objects, such as human faces or bodies, are considered. In this work, we address the problem of estimating the 3D shape of a human body from single images. In particular, we provide a solution to the problem of estimating the shape of the body when the subject is wearing clothes. This is a highly challenging scenario as loose clothes might hide the underlying body shape to a large extent. To this aim, we make use of a parametric 3D body model, the SMPL, whose parameters describe the body pose and shape of the body. Our main intuition is that the shape parameters associated with an individual should not change whether the subject is wearing clothes or not. To improve the shape estimation under clothing, we train a deep convolutional network to regress the shape parameters from a single image of a person. To increase the robustness to clothing, we build our training dataset by associating the shape parameters of a “minimally clothed” person to other samples of the same person wearing looser clothes. Experimental validation shows that our approach can more accurately estimate body shape parameters with respect to state-of-the-art approaches, even in the case of loose clothes.

The article raises the issue of the importance of the work of Cristoforo de Castelli, an Italian missionary, Patrice of the Order of Theatine, in the study of Georgian historical costume. The sketches made by the author during his work in Georgia are analyzed, according to which it is possible to identify the types of clothes. According to the drawings, the clothes of different strata of the population are compared with the clothes of historical figures depicted in the monumental paintings of Georgian monuments of the same period and the clothes of the characters depicted in the illustrations of literary works. It emphasizes the identity of the costume depicted in Castelli's paintings and the miniatures of Georgian artist Mamuka Tavakarashvili and the similarity of some of the paintings. Finally, it is concluded that the visual material created over the years by Castelli as an eyewitness is still relevant today.

The article analyzes the main directions of energy supply systems for “smart clothes”. The authors considered the most promising types of “smart clothes”, the work of which allows you to generate and ac- cumulate thermal and electrical energy in the process of everyday wear of clothes. The main parameters and characteristics of the considered areas of energy supply of “smart clothes”, namely “generator clothes”, which allow you to receive energy from a solar battery, generate motion, generate human body energy (sweat and body heat) and “battery clothes” are given. In conclusion, the main problems and directions for the development of research on the creation of an energy supply system for innovative clothing are outlined.

The current state of the laundry industry in Nigeria has created an opportunity to capture a significant market segment that has rejected conventional dryers as expensive, energy consuming and damaging to clothing. Clothes lines and other hang drying methods subject those users to a lack of privacy, extremely long drying times and great dependency on weather. A solar clothes dryer was designed and developed to provide a compromise solution, with faster dry times, low cost and superior energy efficiency. The unit consists of two parts, an inclined flow chamber (solar collector) and the drying box. A performance- analysis was conducted employing a two stage nested design and two way Anova. The two stage nested design had a total number of 24 observations (6 clothe materials x 2solar radiation modes x 2 replications), using six clothing materials as the test material at an average drying chamber temperature of 50 ºC for safe drying of the clothes. The results of the experimental design shows that the number of clothes, solar radiation mode has highly significant (P<0.05) effect on the drying time. The two way Anova design had a total number of 12 observations (6 clothe materials x moisture remove {%}). The test reveals that the number of clothes, percentage of moisture removed has highly significant (P<0.05) effect on the drying time. Graphical analyses of residuals reveal adequacy of models employed. The normality assumption check conducted on the models revealed nonconstant variance defect which validated the conclusions of the two-staged nested design and two way Anova. The normal probability plots and the standardized residual plots also gave no indication of outliers, which shows that experimental designs took into consideration proper randomization of the experimental runs. The main advantage of this dryer is that it can work all round the year, Asian Review of Mechanical Engineering ISSN 2249 – 6289 Vol. 2 No. 1, 2013, pp.35-43 © The Research Publication, www.trp.org.in with a built-in auxiliary heating system. it consumes less power than conventional dryers in washing machines(800.64kJ). It can easily be built with commonly available materials.