• Journal of the Korean Applied Science and Technology
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• v.18 no.2
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• pp.136-141
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• 2001

Naphthothiazolo carbocyanine is of industrial importance as red-sensitizing dye in the spectral sensitization of emulsion microcrystals in negative film-making. In this study, red-sensitizing dye was prepared by the reaction of 2-methyl-3-sulfopropyl-4,5-naphthothiazolium(inner salt) with triethyl orthoacetate in the presence of triethylamine. The product was identified by using various analytical tools such as Elemental analyzer, IR spectrophotometer, UV-Vis spectrophotometer, Mass spectrometer, $^{1}H-NMR$ spectrometer, TGA and DSC. The maximum absorption peak in methanol solvent was 573nm. Therefore, it was concluded that naphthothiazolo carbocyanine dye can be used as red0sensitizing dye for the spectral sensitization of photographic emulsion.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.28.2-28
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• 2001

Three dimensional shape measurement techniques are widely needed in industries for product quality monitoring and control. X-ray imaging method is a promising technology to achieve three-dimensional Information, both the surface and inner structure of an object, since it can overcome the limitations of conventional visual or optical methods such as an occlusion problem or surface reflection properties. In this paper, we propose three dimensional volume reconstruction method based on x-ray stereo imaging technology. Here, the stereo images of an object from two different views are taken by changing the object pose rather than moving imaging plane as in conventional stereo vision method. We propose a series of image processing techniques to extract the features efficiently from x-ray images, where the occluded features in case of normal camera vision could be found ...

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.28-35
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• 2022

To solve the challenge of waste plastics, this study investigated the related technologies and company trends along the plastic life cycle, and primarily describes ICT technologies to improve efficiency in the process of sorting and sorting waste plastics. Waste plastic discharge caused by the explosive increase in parcel traffic because of COVID-19 is also growing exponentially. Hence, waste treatment is emerging as a social challenge. Most of the domestic waste classification depends on the manual process according to the waste pollution level. The plastic material classification approach using the spectroscopy approach reveals a high error in the contaminated waste plastic classification, but if the Artificial Intelligence-based image classification technology is employed together, the classification precision can be enhanced because of the type of waste plastic product and the contaminated part can be differentiated.

• Asia Marketing Journal
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• v.17 no.3
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• pp.33-51
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• 2015

This study investigates which variables most effectively influence the positioning strategy of a brand. In addition, we test the connection between the positioning strategy of the brand and loyalty. Finally, we explore how brand experience effects the relationship between brand position and brand loyalty. To this end, this study employs the street-intercept method to collect data on consumers' perception of home appliances in Japan and conducts structural equation modeling analysis to test our hypotheses. Specifically, we find that assessments of product, service, and image have a significant impact on a brand's position which, in turn, drives brand loyalty. In addition, brand experience seems to moderate the relationship between service and brand positioning effectiveness. We also find that price promotions negatively affect brand loyalty. The research provides a consumer-centered, experiential view of how firms can develop strategies to more effectively position brands and increase loyalty among their customers. These results help both academics and practitioners to better understand how consumers assess a brand's position in the marketplace.

• International Journal of Korean Welding Society
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• v.3 no.2
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• pp.53-59
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• 2003

Visual inspection using laser vision sensor was proposed for fast and economic inspection and was verified experimentally. Welding is one of the most important manufacturing processes for automotive and electronics industries as well as heavy industries. The weld zone influences the reliability of the products. There are two kinds of weld inspection tests, destructive and non­destructive test. Even though the destructive test is much more reliable, the product should be destroyed, and hence the non­destructive test such as ultrasonic or X­ray test was used to overcome this problem. However, these tests are not used for real time inspection.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.543-544
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• 2021

본 논문에서는 스마트 팩토리의 자동화 공정을 위하여 제품 자동 판별과 불량 시 작업자에게 자동으로 통보해주는 시스템을 설계한다. 생산라인의 효율을 극대화하기 위해서는 작업자의 개입이 적은 상태로 시스템에 의해서 자동으로 공정이 이루어져야 한다. 따라서 본 시스템을 적용해 작업자는 자동으로 돌아가는 라인에 크게 개입하지 않고 문제가 발생했을 때만 투입되어 조치할 수 있게 된다. 따라서 생산과 효율을 크게 증가시키면서 작업자의 실수를 미연에 방지하고 제품의 신뢰성을 향상시킬 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.109-110
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• 2020

Today, the tourism industry, unlike the past, is fused with various fields and is closely related to various fields, not just one field. In the case of the tourism industry, it leads to an increase in product sales through not only national import but also enhancing national image, forming a positive virtuous chain. As mentioned in order to verify the hypothesis presented in this study, pilot tests were conducted on about 50 copies of the data, and as a result, in-flight service (H1), flight service (H2), compensation service (H3), and reservation service (H4) It has been shown to have a positive effect on customer satisfaction, and when customer satisfaction is achieved, it naturally leads to reuse.

• The Korean Journal of Franchise Management
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• v.2 no.1
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• pp.61-73
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• 2011

Supermarket Franchising, as a relatively new mode of retail business, is often regarded as one of the two hallmarks of the "Modern Logistics Revolution". After more than ten years of development, franchise supermarkets have been a rising force in retail business in China. As a product of a highly-developed commercial economy, franchise supermarkets mainly deals in foodstuffs and other daily necessities, featuring low cost, high turnover rate, low prices and diversified inventory. Propelled by the conveniences that come with open shelves and self-service shopping, franchise supermarkets have been growing very rapidly and the rise of many franchise supermarket brands bears testimony to its growth potential and profitability. Meanwhile, in the backdrop of this boom, some franchise supermarkets are going bankrupt. This paper analyzes the current status of franchise supermarkets and some factors bearing on their core competencies, so as to close the competitiveness gap with international retail giants.

• Communications of the Korean Mathematical Society
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• v.38 no.3
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• pp.755-772
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• 2023

Our aim is to establish certain image formulas of the (p, q)-extended modified Bessel function of the second kind M_ν,p,q(z) by employing the Marichev-Saigo-Maeda fractional calculus (integral and differential) operators including their composition formulas and using certain integral transforms involving (p, q)-extended modified Bessel function of the second kind M_ν,p,q(z). Corresponding assertions for the Saigo's, Riemann-Liouville (R-L) and Erdélyi-Kober (E-K) fractional integral and differential operators are deduced. All the results are represented in terms of the Hadamard product of the (p, q)-extended modified Bessel function of the second kind M_ν,p,q(z) and Fox-Wright function _rΨ_s(z).

• Annual Conference of KIPS
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• 2022.11a
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• pp.40-42
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• 2022

People's focus steadily shifted toward fashion as a popular aesthetic expression as their quality of life improved. Humans are inevitably drawn to things that are more aesthetically appealing. This human proclivity has resulted in the evolution of the fashion industry over time. However, too many clothing alternatives on e-commerce platforms have created additional obstacles for clients in recognizing their suitable outfit. Thus, in this paper, we proposed a personalized Fashion Recommender system that generates recommendations for the user based on their previous purchases and history. Our model aims to generate recommendations using an image of a product given as input by the user because many times people find something that they are interested in and tend to look for products that are like that. In the system, we first reduce data dimensionality by component analysis to avoid the curse of dimensionality, and then the final suggestion is generated by neural network. To create the final suggestions, we have employed neural networks to evaluate photos from the H&M dataset and a nearest neighbor backed recommender.