• Journal of Distribution Science
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• v.22 no.3
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• pp.113-124
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• 2024

Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.55-60
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• 2020

As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.

• Transactions of Materials Processing
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• v.12 no.5
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• pp.498-503
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• 2003

The die for cold forging gets a very high axial load and radial pressure during processing and hence deforms considerably in the radial direction. This radial deformation of die becomes a important factor influencing the dimensional accuracy of a product. In order to obtain the product with highly accurate dimension, therefore, it is essential to acquire some information on elastic deformation of the die and the product. The study has been performed for the relation of the deformation between the die and the product in backward extrusion. The strain of the die has been given by the simple experiment using the strain gauges attached to the outer surface of the die. Also the history of the deformation of the die and the product has been given by the experiment and Lames' formula. The results has been compared with the previous another method. The study has given useful results for the deformation history of the die and the product through the experiment and Lame's formula in backward extrusion, which can be applied in the die design for the product with accurate dimension.

• KSBB Journal
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• v.18 no.4
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• pp.272-276
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• 2003

A yeast treatment process was applied to treat food processing organic wastewater containing inhibitory material to anaerobic bacteria. The wastewater contained high concentration of the furfural as a by-product from the food processing. Aerobic yeast (Candida utilis) was selected to remove organics in wastewater. The batch test showed that the wastewater had an inhibition to anaerobic bacteria. The optimum level of temperature for yeast treatment was ranged from 25 to 45$^{\circ}C$. The pH range from 4 to 8 was favorable to yeast growth. The continuous flow reactor was operated at various SRTs. The results were satisfactory with the reduction of COD up to 90％ at SRT of more than 1 day. Through the kinetic study of the yeast, the remained COD concentration was mainly caused by the formation of soluble microbial product (SMP).

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.914-915
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• 2017

Importance and usage of the recommender system increases with the increase of information. The accuracy of the system recommendation primarily depends on the data. There is a problem in recommender systems, known as cold start problem. The lack of data about new products and users causes the cold start problem, and the system will not be able to give correct recommendation. This paper deals with cold start problem by comparing product specification and the review of the resembled products. The user, who likes the resembled product of the new one has more probability of taking interest in the new product as well. However, if a user disagreed with resembled product due to some reasons which the user mentioned in the reviews. The new product overcomes that issue, so the user will greatly accept the new product. Therefore, the system needs to recommend new product to those users as well, in this way the cold start problem will get resolved.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.150-160
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• 2005

As apparel manufacturers have increased their outsourcing garment making to cope with the rapid changing market, the information sharing has been the most important factor for the Korean apparel industry. The purpose of this research was to study the present state and the needs of the information sharing between the apparel manufacturers and the contractors; and the relationship between the product property (basic/fashion product) and the information sharing property. A total of 86 Korean apparel manufacturers were surveyed for the study. The results are: 1) the information sharing level on manufacturing capacity, manufacturing processing condition, and product quality were a bit higher than other surveyed information, but the level on inventories and sales were lower than others. in addition, the information sharing needs by online system of manufacturing capacity, manufacturing processing condition, and product quality were greater than other information; 2) In the case of fashion product, the information sharing needs of product quality by online system were much greater than in the case of basic product. This study is expected to help apparel manufacturers to construct their information sharing system which is apt for their product property and needs.

• Nutritional Sciences
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• v.3 no.2
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• pp.71-76
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• 2000

Effects of extrusion processing on zinc bioavailability in a product made from 85% semolina and 15% soy protein concentrate were determined using in vitro and in vivo techniques. Soluble and dialyzable zinc contents of the extruded product were 15.3 and 13.0 $\mu$g/g, respectively, compared to 15.6 to 15.0$\mu$g/g in the raw (unprocessed) ingredients. Zinc bioavailability in diets in which all of the zinc (14ppm) was provided either by the extruded product or by its raw ingredients was determined in two groups of male Sprague Dawley rats. No differences were found in concentrations of zinc in plasma, liver and femur between rats fed the two experimental diets. Apparent zinc digestibility was similar for both diets. These results are consistent with the in vitro results showing no effect of extrusion processing on zinc bioavailability.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.10
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• pp.1611-1620
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• 2019

Objective: The aim was to investigate the influence of ultrasound and adenosine 5'-monophosphate (AMP) marination (UAMP) on tenderness and structure of myofibrillar proteins of beef. Methods: Five groups, the untreated meat (Control), deionized water marination (DW), ultrasound followed by DW (UDW), AMP marination (AMP), and ultrasound followed by AMP (UAMP) were studied. Myofibrillar fragmentation, cooking loss, shear force, thermograms, histological observation of meats and myofibrillar proteins properties were investigated in these different treatments. Results: The results showed that UAMP significantly increased myofibrillar fragmentation index from 152 (Control), 231 (AMP), and 307 (UDW) to 355 (p<0.05), respectively. The lowest cooking loss, shear force and peak denaturation temperature were observed in UAMP. In histological observation, UDW and UAMP had more fragmented muscular bundles than the others. Furthermore, a drastic increase in ${\alpha}$-helix and decrease in ${\beta}$-sheet of myofibrillar proteins was observed in UAMP, implying the disaggregation of protein samples. The synchronous fluorescence spectra of myofibrillar proteins in UAMP suggested the combination of ultrasound and AMP could accelerate the unfolding molecular structure and destroying hydrophobic interactions. The results of circular dichroism and synchronous fluorescence spectra for myofibrillar proteins coincided with the microstructures of beef. Conclusion: The results indicate that ultrasound combined with AMP improved meat tenderness not only by disruption in muscle integrity, increasing water retention, but also altering their spatial structure of myofibrillar proteins.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.574-575
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• 2021

Re-manufacturing is the process of recovering the function and performance of the original product through a re-assembly process such as a new product assembly process after reprocessing by recovering used products or parts that are in the disposal stage at the end of their lifespan. One of the manufacturing methods. The remanufacturing industry is important not only in terms of environmental protection, but also in terms of economics. The success or failure of the industry as a whole depends on trust in products and price competitiveness. Image processing systems are used to reduce labor costs and improve product reliability in the product manufacturing process. In this study, foreign substances and defects that are difficult to identify with the human eye are detected by using the pre-processing step of determining whether to recycle the drum and image processing immediately before shipment after regenerating the drum to regenerate the waste drum.

• Korean Journal of Computational Design and Engineering
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• v.19 no.2
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• pp.103-110
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• 2014

Engineering changes are indispensable engineering and management activities for manufactures to develop competitive products and to maintain consistency of its product data. Analysis of engineering changes provides a core functionality to support decision makings for engineering change management. This study aims to develop a method for analysis of engineering changes based on On-Line Analytical Processing (OLAP), a proven database analysis technology that has been applied to various business areas. This approach automates data processing for engineering change analysis from product databases that follow an international standard for product data management (PDM), and enables analysts to analyze various aspects of engineering changes with its OLAP operations. The study consists of modeling a standard PDM database and a multidimensional data model for engineering change analysis, implementing the standard and multidimensional models with PDM and data cube systems and applying the implemented data cube to core functions of engineering change management, the evaluation and propagation of engineering changes.