• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.56-61
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• 2020

Customer satisfaction in retail stores are considerably affected by checkout services. Self-checkout counters have been installed in order to reduce waiting times at checkout in retail stores. However, it is uncertain whether the self-checkout lanes actually decrease the average waiting time of customers. Rather, there are some problems associated with self-checkout lanes such as theft or service failure due to technological problems. This study analyzes comparison between self-checkout and regular staffed-checkout lanes, based on the dataset collected from a retail store in Poland. As a result, we observe that the average transaction times were longer at the self-checkout lanes though fewer products were purchased than at the staffed-checkout lanes. In addition, the customers who buy more products tend to use self-checkouts less frequently. We also check that transaction times are proportional to the number of products customers purchase, and that both the time to scan one item and the fixed time related to checkout are significantly longer at the self-checkout counters. As there has been very few research on the effectiveness of self-checkouts, this study can be the first step to investigate managerial insights on checkout services in retail stores.

• International Journal of Advanced Culture Technology
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• 제9권2호
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• pp.100-105
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• 2021

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.31-36
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• 1999

The development of a low earth orbit microsatellite is recognized as a good means of enhancing the technological capability, to gain experience and to train engineers to acquire knowledge and experience in space systems. Most developed countries in space technology do not allow the transfer of critical space technologies such as technology involved in attitude determination and control systems. And the export of critical components and equipment such as high precision attitude sensors is tightly controlled. Therefore it is inevitable to independently acquire self-design and manufacturing capability to implement a satellite mission. The KITSAT-3 program was aimed at verifying the capability to design, develop and operate an indigenous microsatellite system, which includes such critical technologies and associated components and equipment, as well as train engineers. KITSAT-3 was launched on May 26, 1999 using the Indian launcher PSLV-C2. The operations team has successfully performed a full functional checkout during the launch and early operations phase and the satellite is presently in a normal operations mode. This paper introduces the KITSAT-3 program and the results of the initial operations.

• 대한안전경영과학회지
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• 제9권6호
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• pp.155-162
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• 2007

Recently, retail store automation appliance market is changed with traditional POS systems techniques and RFID, radio POS system, and self checkout system, etc. in the foreign advanced distribution industry. Retailers and consumers require convenient POS system which can provide more functions and fast service. These requests bring to rapid evolution of various H/W and S/W corresponding with POS system. In this study with the POS systems and the RFID technology we develop core technology of movable u-POS system based on RFID that can use in large store. So we propose u-Cart system that can alternate the current shopping cart and POS terminal and that provide value added services to customer. As the result we present the configuration of u-Cart terminal device(WMDT : Wireless Mobile Data Terminal) including RFID reader module that can provide various information to consumer and some convenient client applications that are running in WMDT and u-POS administration service module.

• 서비스연구
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• 제13권2호
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• pp.41-61
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• 2023

제4차 산업혁명 시대의 보편적 삶의 형태는 비대면이라는 키워드로 요약될 수 있을 것이다. 특히 소비 활동 측면에서도 점차 대면 접촉이 최소화되는 시스템으로 변화하고 있으며, 오프라인 매장에서는 키오스크(kiosk)와 로봇 등을 통한 비접촉 서비스로의 전환이 빠르게 이어지고 있다. 사회 구조 역시 시간의 흐름에 따라 변화되고 있으며 특히 1인 가구 증가와 고령화는 식생활과 연관된 외식산업의 변화에도 영향을 미치고 있다. 가정 내에서 직접 조리하는 노동이 줄어들고, 대체할 수 있는 식품의 이용이 증가하고 있음에 따라 가정간편식 (HMR: Home Meal Replacement)시장이 큰 규모로 성장하였다. 시장의 규모가 커지며 상품을 제공하는 비즈니스의 형태도 다양해졌다. 기술의 발전, 비대면 문화 그리고 기업의 경영 효율성이 맞물리며 최근 무인매장이 확산되고 있는 추세이다. 본 연구에서는 차츰 경쟁이 심화되는 HMR 무인매장의 서비스 품질 속성을 분류하여 고객만족을 기반으로 한 서비스 경영 관리 측면의 시사점을 제공하고자 Kano model을 활용한 서비스 품질 분류 및 Timko의 고객만족계수를 산출하였다. 분석결과 '상품(메뉴) 다양성' 등이 매력적 품질로 분류되었으며, '매장 내부/외부 청결성' 등이 일원적 품질로 분류되었다. 또한 '셀프 계산 과정의 편리성'은 당연적 품질, '매장 내 통행의 편리성' 무관심 품질로 분류되었다. 나아가 만족계수가 가장 높은 요소는 '상품(메뉴)다양성'으로, 불만족계수가 가장 높은 요소는 '셀프 계산과정의 편리성'으로 나타났다. 본 연구의 결과를 통해 HMR 무인매장의 서비스 품질 관리에 있어 우선순위를 도출하고, 이를 통해 관련 비즈니스에서의 전략적 시사점을 제공하고자 한다.