Artificial intelligence technologies for more flexible recommendation in uniforms

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chih-Hao Wen ◽  
Chih-Chan Cheng ◽  
Yuh-Chuan Shih

PurposeThis research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the Digital Camouflage Uniforms (DCU) for Taiwan's military personnel are made.Design/methodology/approachA total of 375 subjects are recruited (male: 253; female: 122). In this study, OpenPose converts the photographed 2D images into four body variables, which are compared with those of a tape measure and 3D scanning simultaneously. Then, the recommendation model of the DCU is built by the decision tree. Meanwhile, the Euclidean distance of each size of the DCU in the manufacturing specification is calculated as the best three recommendations.FindingsThe recommended size established by the decision tree is only 0.62 and 0.63. However, for the recommendation result of the best three options, the DCU Fitting Score can be as high as 0.8 or more. The results of OpenPose and 3D scanning have the highest correlation coefficient even though the method of measuring body size is different. This result confirms that OpenPose has significant measurement validity. That is, inexpensive equipment can be used to obtain reasonable results.Originality/valueIn general, the method proposed in this study is suitable for applications in e-commerce and the apparel industry in a long-distance, non-contact and non-pre-labeled manner when the world is facing Covid-19. In particular, it can reduce the measurement troubles of ordinary users when purchasing clothing online.

2017 ◽  
Vol 34 (1) ◽  
pp. 123-133 ◽  
Author(s):  
Zeguang Yi ◽  
Nan Pan ◽  
Yi Liu ◽  
Yu Guo

Purpose This paper aims to reduce and eliminate the abnormal peaks which, because of the reflection in the process of laser detection, make it easier to proceed with further analysis. Design/methodology/approach To solve the above problem, an abnormal data correction algorithm based on histogram, K-Means clustering and improved robust locally weighted scatter plot smoothing (LOWESS) is put forward. The proposed algorithm does section leveling for shear plant first and then applies histogram to define the abnormal fluctuation data between the neighboring points and utilizes a K-Means clustering to eliminate the abnormal data. After that, the improved robust LOWESS method, which is based on Euclidean distance, is used to remove the noise interference and finally obtain the waveform characteristics for next data processing. Findings The experiment result of liner tool mark laser test data correction demonstrates the accuracy and reliability of the proposed algorithm. Originality/value The study enables the following points: the detection signal automatic leveling; abnormal data identification and demarcation using K-Means clustering and histogram; and data smoothing using LOWESS.


2018 ◽  
Vol 15 (2) ◽  
pp. 77-94 ◽  
Author(s):  
Mohammad Tarikul Islam ◽  
Christina Stringer

Purpose Despite substantial economic upgrading, Bangladesh’s apparel industry remains confronted by claims of precarious working conditions. This paper aims to understand the challenges of achieving social upgrading and whether benefits of economic upgrading can transfer to workers and their dependents through social upgrading. Design/methodology/approach Semi-structured interviews were undertaken with 90 participants from six apparel firms in Bangladesh. The interviews were conducted following the Rana Plaza disaster. Findings The results suggest that social upgrading has not occurred to the same extent as economic upgrading. Social upgrading has been compromised in part, by the tiered factory system operating and a lack of governance within the lower tier firms. Research limitations/implications Single country and one industry constitute the main limitations of this research. Future research could include multiple countries and industries to allow for greater generalization of findings. Originality/value The paper provides new insights on how social upgrading might be compromised within the global value chains context and its impact on developing country supplier firms, workers and their families.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enrico Fontana ◽  
Mark Heuer ◽  
Lisa Koep

Purpose The purpose of this paper is to shed new light on the way the cross-sector collaboration (CSC) process can foster gender-focused sustainability initiatives to improve female workers’ conditions in developing countries. The study does so by introducing and examining the influence of nonprofit boundary work during the CSC process. Design/methodology/approach The paper is based on thirty-four interviews and qualitative fieldwork. It draws on a case analysis of a regional CSC between multiple organizations operating locally in the apparel industry of Bangladesh, a developing country. Findings Scaffolding work in the CSC formation stage – performed by development agency implementers who construe boundaries – and sensitization work in the CSC implementation stage – performed by a non-governmental organization (NGO) implementers who blur and expand boundaries – emerge as two conceptual categories of nonprofit boundary work. This allows NGO implementers to identify and enable the agency of sustainability envoys or socially privileged individuals who capitalize on their social credentials to support female workers in the factory and in the community. Originality/value The study offers novel insights into the CSC process. It contributes to the CSC literature and the literature on boundary work, with a focus on gender-focused sustainability initiatives for female workers in developing countries.


2013 ◽  
Vol 28 (4) ◽  
pp. 303-316 ◽  
Author(s):  
Ivy S.N. Chen ◽  
Patrick K.O. Fung

PurposeThis study aims to identify the types of relationships that intermediaries form with their suppliers and customers in the apparel supply chain and their implications for performance.Design/methodology/approachCluster analysis was conducted on the supplier and customer relationships of 90 trade intermediaries in the apparel industry.FindingsThree configurations were identified: moderately dependent relationships with suppliers and customers and moderate flexibility upstream; highly dependent relationships with suppliers and customers but low flexibility upstream; and relationships with suppliers and customers that are low in dependence. Performance of firms using these configurations differed. Firms that cultivated some dependence upstream and downstream performed best. Firms with highly dependent relationships with suppliers and customers but low flexibility upstream performed almost as well. This group was highly skilled in relationship management. Firms that maintained low dependence with suppliers and customers performed the worst.Research limitations/implicationsFindings were based on a limited sample of 90 firms. Relationship configurations may differ in other industries, e.g. car industry.Practical implicationsFor a supply chain to be effective, firms need to consider how they structure the relationships along the supply chain to facilitate the flow of information, goods and resources.Originality/valuePrior research has considered relationships as independent dyads. This study looks at tripartite relationships involving suppliers and customers in the supply chain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nkholedzeni Sidney Netshakhuma

Purpose This study aims to assess the Venda indigenous archives incorporation into the Limpopo Provincial archives to promote archives decolonisation. Design/methodology/approach This research is based on a qualitative research method. Interviews conducted with the 10 Limpopo Provincial Archivists and 25 community leaders based in the Venda area were conducted. The semi-structured interview was used to collect data. Findings It is a South African constitutional mandate for each province to manage its archives. As the former Venda was now part of the Limpopo province, its archives were incorporated into the Limpopo Provincial Archives. The Venda archives incorporation to the Limpopo Provincial Archives did not consider the will of a community member to travel a long distance. Furthermore, challenges faced by archivists such as lack of skills and knowledge to process archival materials, lack of funding and participation in the incorporation of archives materials. Research limitations/implications This research confines itself to the Venda indigenous archives created from 1979 to 1993. Practical implications This paper addresses archives decolonisation. Social implications The paper has the potential to demonstrate the value of the indigenous archive. Originality/value The study can be replicated for other research practices. This case study can be implemented in other parts of the world that face similar circumstances so regarding the transfer of archives and the challenges faced to maintain community knowledge and make them accessible.


2017 ◽  
Vol 31 (7) ◽  
pp. 865-877 ◽  
Author(s):  
Reza Salehzadeh

Purpose The purpose of this paper is to propose a new method to find the appropriate leadership styles based on the followers’ preferences using the decision tree technique. Design/methodology/approach Statistical population includes the students of the University of Isfahan. In total, 750 questionnaires were distributed; out of which, 680 accurate questionnaires were used for data analysis. This research in five steps proposes a framework to extract the information about the leadership styles that followers like and this method is examined for situational leadership theory’s styles among the university students. Findings Based on the results of the decision tree model, 27 rules were discovered. Also, the findings imply that, most undergraduate, postgraduate, and PhD students prefer directing, coaching, and supporting styles, respectively. Originality/value The results of this research help leaders to find a better understanding about the followers’ preferences.


2018 ◽  
Vol 25 (2) ◽  
pp. 713-742 ◽  
Author(s):  
Isotilia Costa Melo ◽  
Paulo Nocera Alves Junior ◽  
Ana Elisa Perico ◽  
Maria Gabriela Serrano Guzman ◽  
Daisy Aparecida do Nascimento Rebelatto

Purpose The purpose of this paper is to collectively measure and compare the efficiency of Brazilian and American soybean transport corridors, from farmers to export ports, using the data envelopment analysis (DEA). Design/methodology/approach This paper aims to determine routes from main producing micro-regions to main export ports, specifically using slack-based measure and variables that represent the three pillars of sustainability (economic, social, and environmental). The choice of variables was guided by literature review and analyzed through the principal component analysis. After the application of the model, the quantitative tiebreaking method of the composite index is applied. Findings The findings are coherent with a global report that compares soybean transportation in both countries (Brazil and USA). Efficient routes and corridors tend to present short distance truck trips and long distance train or barge trips. The efficiency of the inland waterway trips depends on how many barges are used in the same expedition. Routes with more than three modes tend to be inefficient which suggest that there is a limit for multimodality. Originality/value Corridor benchmarking is a rare topic in the literature and previous works normally focus on some specific and limited corridor performance characteristics, such as cost. The main contribution of this research is that it expands the discussion regarding corridor benchmarking and it focuses on efficiency as a whole. The paper also proposes a method that can be applied in different logistics contexts, like expanding the study to different countries. More specifically, this method could be used in infrastructure investments programs.


Author(s):  
Zhengxing Wu ◽  
Junzhi Yu ◽  
Jun Yuan ◽  
Min Tan

Purpose This paper aims to propose a novel design concept for a biomimetic dolphin-like underwater glider, which can offer the advantages of both robotic dolphins and underwater gliders to achieve high-maneuverability, high-speed and long-distance motions. Design/methodology/approach To testify the gliding capability of dolphin-like robot without traditional internal movable masses, the authors first developed a skilled and simple dolphin-like prototype with only gliding capability. The hydrodynamic coefficients, including lift, drag and pitching moment, are obtained through computational fluid dynamics method, and the hydrodynamic analysis in the steady gliding motion is also executed. Findings Experimental results have shown that the dolphin-like glider could successfully glide depending on the pitching torques only from buoyancy-driven system and controllable fins without traditional internal moveable masses. Originality/value A hybrid underwater glider scheme that combines robotic dolphin and glider is firstly proposed, shedding light on the creation of innovation gliders with maneuverability and durability.


2020 ◽  
Vol 28 (3) ◽  
pp. 409-428
Author(s):  
Husam Abu Khadra ◽  
Dursun Delen

Purpose This paper aims to contribute to the extant literature in this field by examining nonprofit organizations’ fraud reporting compliance using logistic regression and decision tree induction algorithms. Design/methodology/approach This study used the data from 428 nonprofit organizations during 2009-2015 period, and analyzed 21 individual measures (obtained from these organizations’ Internal Revenue Service Form990 filings) using logistic regression and decision tree induction algorithms, to study the governance characteristics and fraud reporting. Findings The study found evidence that compliance with the law, board of directors’ independence, federal audit and using independent accountants to compile and review financial statements are the most prevailing factors affecting the odds of nonprofit organizations experiencing fraud reported as an asset diversion. Originality/value The argument associated with using governance to reduce the chances of fraud has been a popular topic in industry and academia but unfortunately has limited empirical evidence in the literature, especially when it relates to nonprofits. This study contributes to the literature in this respect.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kerri Byrd ◽  
Jin Su

PurposeThe purpose of this study is to investigate consumers' perceptions of and consumer behaviour towards apparel labels and environmental, sustainable and social apparel.Design/methodology/approachQuantitative research was conducted, and empirical data were collected from 399 US consumers.FindingsFindings indicate that consumers expressed positive sentiments towards apparel sustainability, yet they lacked knowledge about socially and environmental practices within the apparel industry. Overall, it is apparent that the respondents have an interest in environmental and social labelling; but they are not aware of brands that sell these types of garments nor their validity. It was also found that consumers may not have much knowledge regarding environmental, sustainable and social apparel or their meanings.Originality/valueBy surveying the consumers about their perspectives on apparel labels and environmental, sustainable and social apparel, valuable market information was obtained. Sustainably and ethically produced garments are of demand as transparency in the apparel industry grows. Brands looking to become more transparent about their production methods will need to find new ways to reach their target market by accurately labelling products and educating their consumers about these label claims.


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