• Title/Summary/Keyword: customer services

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Case Study: Record Management & Maintenance System Implementation with Architectural Drawings on GIS Platform (GIS 플렛폼을 활용한 건축도면 및 자료 유지관리시스템 적용 사례연구 - 미국 버지니아주 리치몬드시청 건축도면 및 자료 유지관리시스템 사례연구 -)

  • Chong, K. Chul;Sho, Kwang-Ho
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.36 no.1
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    • pp.163-172
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    • 2020
  • This study is a case study for in-house developed Record Maintenance and Management (RMMS) which is a digital data storage/retrieval system in a GIS-enabled solution. RMMS is designed for reorganizing submitted architectural drawings associated with scanned drawings files & geodatabase, managing metadata/table and geometric features in ArcSDE/Enterprise geodatabase format. The birth of the RMMS was borne out of a necessity for a modernized approach in digital file basis to provide improved customer services for various architectural drawings and associated with geo-spatial and its attribute information. Through a case study for building permit & review practice implemented on an internet-based Electronic Architectural administration Information System (EAIS) at the local governments in Korea, this study is able to derive differences between GIS-enabled RMMS system implemented in the Richmond City and internet-based EAIS system implemented in the local government in Korea. In an effort to be the most effective, it presents meaningful ways of maximizing efficiency in record maintenance & management system derived from the case studies that looked into in ways of a method in RMMS' operation, implementation on GIS platform, mutual interface among various programs with various digital files and finally technical supports and system development /upgrade.

A Study on the Automated Payment System for Artificial Intelligence-Based Product Recognition in the Age of Contactless Services

  • Kim, Heeyoung;Hong, Hotak;Ryu, Gihwan;Kim, Dongmin
    • International Journal of Advanced Culture Technology
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    • v.9 no.2
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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.

Power Analysis Attacks on the Stream Cipher Rabbit (스트림 암호 Rabbit에 대한 전력분석 공격)

  • Bae, Ki-Seok;Ahn, Man-Ki;Park, Jea-Hoon;Lee, Hoon-Jae;Moon, Sang-Jae
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.3
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    • pp.27-35
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    • 2011
  • Design of Sensor nodes in Wireless Sensor Network(WSN) should be considered some properties as electricity consumption, transmission speed, range, etc., and also be needed the protection against various attacks (e.g., eavesdropping, hacking, leakage of customer's secret data, and denial of services). The stream cipher Rabbit, selected for the final eSTREAM portfolio organized by EU ECRYPT and selected as algorithm in part of ISO/IEC 18033-4 Stream Ciphers on ISO Security Standardization recently, is a high speed stream cipher suitable for WSN. Since the stream cipher Rabbit was evaluated the complexity of side-channel analysis attack as 'Medium' in a theoretical approach, thus the method of power analysis attack to the stream cipher Rabbit and the verification of our method by practical experiments were described in this paper. We implemented the stream cipher Rabbit without countermeasures of power analysis attack on IEEE 802.15.4/ZigBee board with 8-bit RISC AVR microprocessor ATmega128L chip, and performed the experiments of power analysis based on difference of means and template using a Hamming weight model.

The Effect of Hair Shop Brand Trust on Loyalty Behavior and the Moderating Effect of Brand Awareness (헤어숍 브랜드신뢰가 충성행동에 미치는 영향과 브랜드 인지정도의 조절효과)

  • Kim, Young-Hee;Yang, Jong-Hoon
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.519-528
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    • 2020
  • This study is a study on the relationship between brand trust in beauty companies leading to consumer loyalty behavior. This study investigated the importance of brand trust and verified the moderating effect of brand awareness. The subjects of the survey were consumers with experience in using hair beauty services, and a self-written survey was conducted from December 15, 2019 to December 30, 2019. A total of 288 copies of response data were used for analysis, and the SPSS 21.0 statistical package program was used. Hairshop brand trust was classified into professionalism, favorability, and honesty. As a result of the analysis, professionalism had a significant effect on economic loyalty behavior, and honesty had a significant effect on economic loyalty behavior and social loyalty behavior. Favorability did not show an influence relationship. As a result of verifying the moderating effect of brand awareness, it was found that professionalism and honesty play a moderating effect in the influence relationship between social loyalty behaviors. This study aims to provide an effective direction to stably establish the relationship between the brand trust and customer relationship of the hair shop in a rapidly changing competitive environment.

Research on User Experience Under the New Retailing Mode: Using the interactive marketing mode of the Estee Lauder POP-UP store as an example (새 소매 모델 방식에서의 사용자 경험 연구: 에스티로더 팝업스토어에서 인터랙티브 마케팅을 예로 들어보자)

  • Liang, Lan;Pan, Young-Hwan
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.343-353
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    • 2021
  • The beauty industry of China POP-UP store service, has entered the peak development period. This paper takes China Estee Lauder POP-UP store as an example, based on the user experience of interactive marketing mode in Beauty POP-UP store under the new retailing model. The paper aims to establish a system interaction design process integrating online and offline to help enterprises complete the sustainable development of marketing services. To achieve this goal, this study uses questionnaires to investigate the key elements of user experience, customer journey map to determine the user pain points, and completes the design of the new system process. This process can provide designers with a new perspective through experimental verification, with high timeliness and practicability. It also promotes the collaborative optimisation and upgrading of physical retail and online retail and provides theoretical support and practical basis for other enterprises.

Blockchain for Securing Smart Grids

  • Aldabbagh, Ghadah;Bamasag, Omaimah;Almasari, Lola;Alsaidalani, Rabab;Redwan, Afnan;Alsaggaf, Amaal
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.255-263
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    • 2021
  • Smart grid is a fully-automated, bi-directional, power transmission network based on the physical grid system, which combines sensor measurement, computer, information communication, and automatic control technology. Blockchain technology, with its security features, can be integrated with Smart Grids to provide secure and efficient power management and transmission. This paper dicusses the deployment of Blockchain technology in Smart Grid. It presents application areas and protocols in which blockchain can be applied to in securing smart grid. One application of each area is explored in detail, such as efficient peer-to-peer transaction, lower platform costs, faster processes, greater flexibility in power generation to transmission, distribution and power consumption in different energy storage systems, current barriers obstructing the implementation of blockchain applications with some level of maturity in financial services but concepts only in energy and other sectors. Wide range of energy applications suggesting a suitable blockchain architecture in smart grid operations, a sample block structure and the potential blockchain technicalities employed in it. Also, added with efficient data aggregation schemes based on the blockchain technology to overcome the challenges related to privacy and security in the smart grid. Later on, consensus algorithms and protocols are discussed. Monitoring of the usage and statistics of energy distribution systems that can also be used to remotely control energy flow to a particular area. Further, the discussion on the blockchain-based frameworks that helps in the diagnosis and maintenance of smart grid equipment. We have also discussed several commercial implementations of blockchain in the smart grid. Finally, various challenges have been discussed for integrating these technologies. Overall, it can be said at the present point in time that blockchain technology certainly shows a lot of potentials from a customer perspective too and should be further developed by market participants. The approaches seen thus far may have a disruptive effect in the future and might require additional regulatory intervention in an already tightly regulated energy market. If blockchains are to deliver benefits for consumers (whether as consumers or prosumers of energy), a strong focus on consumer issues will be needed.

The Study on the User Behavioral Effects of Perception and Characteristics on the Common Essential Applications of Smartphones (스마트폰 공통 필수앱에 대한 이용자 인식과 특성이 이용 행동에 미치는 영향)

  • Youn, Bo Heum;Lee, Yoon Jae;Choi, Seong Jhin
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.415-436
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    • 2022
  • This study was conducted by the customer survey of 15 to 65 years old in order to identify the user behavioral effects of perception and characteristics on the common essential applications of smartphones with the United Theory of Acceptance and Use of Technology (UTAUT) and Value-based Acceptance Model (VAM). As a result, it was found that performance expectancy, enjoyment, facilitating conditions, effort expectancy, and social influences, excluding information privacy concern, have a positive effect on use behavior. The moderating effect by age was found that the youth was higher between perceived value and behavioral intention, and the middle-aged was higher between enjoyment and perceived value. This study has significance in providing implications for establishing strategies on designing and pre-loading apps, and increasing usage rate.

Development of Hand-drawn Clothing Matching System Based on Neural Network Learning (신경망 모델을 이용한 손그림 의류 매칭 시스템 개발)

  • Lim, Ho-Kyun;Moon, Mi-Kyeong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1231-1238
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    • 2021
  • Recently, large online shopping malls are providing image search services as well as text or category searches. However, in the case of an image search service, there is a problem in that the search service cannot be used in the absence of an image. This paper describes the development of a system that allows users to find the clothes they want through hand-drawn images of the style of clothes when they search for clothes in an online clothing shopping mall. The hand-drawing data drawn by the user increases the accuracy of matching through neural network learning, and enables matching of clothes using various object detection algorithms. This is expected to increase customer satisfaction with online shopping by allowing users to quickly search for clothing they are looking for.

The Influence of Customer Perception about Food Safety on the Use of Restaurant Food Delivery or Takeout (식품안전성에 대한 인식이 배달 또는 테이크아웃 음식 이용에 미치는 영향)

  • Baek, Seonyeong;Suk, Younghee;Lee, Hyeonsook;Ham, Sunny
    • Journal of the Korean Dietetic Association
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    • v.28 no.3
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    • pp.182-194
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    • 2022
  • After the onset of the COVID-19 pandemic, there has been an explosive increase in restaurant meal delivery or takeout. The purpose of this study was to analyze the consumer perception of food safety and its influence on the purchase of delivery or takeout food from restaurants. This study, the 2020 Consumer Behavior Survey for Food (CBSF), was conducted from June 10 to August 21 2020. A total of 6,355 responses were used for the analysis. The results were as follows: First, the differences in consumer perception about food safety were analyzed according to whether they used delivery or takeout. Concern about food safety, satisfaction with dietary habits, and the ability to maintain safe dietary habits were higher in the non-user group. Except for food at home, the perception about food safety at other locations was higher in the user group. Food hazards such as antibiotics were perceived to be safer in the user group. Second, the perception of food safety affecting use of delivery or takeout was analyzed. It was found that the usage of delivery or takeout increased when the perception of the safety of home meal replacement (HMR), delivery or takeout food, and the ability to be informed about the harmful factors of agricultural products increased. The findings of this study may offer the basis for the food and food service industry to consider safety issues seriously and develop strategies to lead to feasible practices. Further, this study also supports the direction of the government toward strengthening the safety of new segments which have shown explosive growth in the COVID-19 era.

Analysis of the Relationship between Service Quality, Satisfaction and Repurchase Intention of On-line Fashion Shopping Malls and the Moderating Effect of Online Reviews (중국 온라인 패션쇼핑몰의 서비스 품질, 만족, 재구매의도간의 관계 및 온라인 리뷰의 조절효과 분석)

  • Jiang, Bao-Zhi;Lee, Young-sook;Lee, Jieun
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.47-54
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    • 2022
  • The development of the Internet of Things led to new services that did not exist before. This required a change to the existing network. This study aims to verify the service quality, satisfaction, repurchase intention relationship, and the moderating effect of online reviews of Chinese consumers using fashion shopping malls. The results of the study showed that from the perspective of consumers in their 20s and 30s in China, the type, reliability, convenience, and interaction of service quality had a positive effect on customer satisfaction and repurchase intention. In addition, negative reviews among online reviews had a great influence on repurchase intention. Based on the results of the study, it will help improve the effect on online product reviews and in-depth understanding of the acceptance of online product reviews for online fashion shopping malls, and establish strategies for fashion companies to effectively manage online product reviews information.