• Journal of Service Research and Studies
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• v.11 no.3
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• pp.17-30
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• 2021

In the context of Sharing Accommodation has become a new type of accommodation choice for customers. The purpose of this study is to improve the existing defects of Sharing Accommodation Services through insight into the pain points of customer experience, so as to improve customer satisfaction. In this study, Airbnb and Tujia were selected as the subjects for comparative study. By collecting and sorting out references, the research background of Sharing Accommodation is analyzed in depth. Research methods of Service Design, such as Customer Journey Map and Service Blueprint, are adopted to gain insight into customer needs, identify pain points and propose hypothesis of service optimization. Tools such as Kano Model and Potential Customer Satisfaction are used to test and determine three schemes for optimizing the service. Finally, the results are displayed through Service Scenario. The research results can help operators of Sharing Accommodation to identify and improve the elements of service and provide a higher quality customer experience, thus promoting the healthy development of Sharing Accommodation market.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.89-94
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• 2000

본 연구에서는 경제, 비즈니스 분야의 정보원을 좀 더 효율적으로 검색하기 위해서 정보/주제 전문가들이 갖고 있는 정보원 선택과 이용에 대한 지식을 획득, 표현하여 정보검색사 또는 최종 이용자들이 공유할 수 있는 웹 기반 전문가 시스템을 구현하였다.

• 전기의세계
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• v.45 no.9
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• pp.3-8
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• 1996

CALS를 추진하여 얻을 수 있는 기대효과는 다음과 같다. 첫째, 공유된 정보로부터 가장 최적의 선택을 할 수 있다. 둘째, 이형/분산 환경의 데이타베이스 및 응용 시스템을 사용자는 단일 시스템과 같이 운영할 수 있다. 셋째, 가상기업을 구축하는 과정에서 업무절차의 표준화 및 혁신을 필수적으로 병행된다. 넷째, 생산에서 배치에 소요되는 기간을 단축시킴으로서 기업의 경쟁력을 향상시킬 수 있다. 다섯째, 공통적인 필요 기술을 바탕으로 전 제조업 및 서비스업 등 여러가지 응용분야에 적용할 수 있다.

• Analytical Science and Technology
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• v.22 no.2
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• pp.148-151
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• 2009

Enantiomer separation of N-fluorenylmethoxycarbonyl (FMOC) $\alpha$-amino acid was performed on covalently immobilized chiral column (Chiralpak IB) based on polysaccharide derivative as a chiral selector by reversed phase liquid chromatography. The effect of the reversed mobile phase on the chromatographic parameters of the enantioselectivities, resolution factors and retention times using covalently immobilized Chiralpak IB was shown. Also the enantiomer separation of N-FMOC $\alpha$-amino acid in the reversed and normal phase was compared and the results obtained in the former mobile phase were generally lower than those in the latter mobile phase.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.205-206
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• 2018

오늘날 인터넷 대중화로 다양한 분야에 걸쳐 누구나 쉽게 정보 공유가 가능한 환경 속에 살고 있다. 최근 모바일 기기들의 확산으로 커피전문점 방문 할 때 정보검색의 영향력이 커짐에 따라 인터넷 후기 등이 작성되어 있는 블로그는 목적지 선택에 많은 영향을 미치고 있다. 본 연구에서는 정보검색을 포함한 기존의 커피전문점의 선택속성의 커피전문점의 만족도와의 관계를 살펴보고자 하였다. 정보검색을 통해 방문한 적이 있는 커피전문점 방문자를 대상으로 176개의 설문지를 회수 하였고, SPSS 18.0를 이용하여 분석하였다. 본 연구에서는 정보검색 일치성을 포함한 커피전문점의 기존의 선택속성들을 독립변수로 두고, 커피전문점의 추천도를 종속변수로 두어 회귀분석을 실시하였다. 분석결과, 정보검색을 통해 커피전문점 방문시 '분위기와 정보검색결과의 일치성', '일반적 선택속성', '커피의 맛', '주차 편리성' 요인이 추천에 유의한 영향을 미치는 것으로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.301-303
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• 2006

Mobile Ad Hoc Networks(MANET)은 기존의 인프라없이 독립적으로 네트워크를 구성할 수 있는 장점이 있다. 이에 대한 관심의 증대에 따라 새로운 도전 영역으로써 MANET에 인터넷 서비스를 제공하는 인터넷게이트웨이가 등장하고 있는데. MANET boundary를 공유하는 영역에서의 노드는 이러한 여러 개의 인터넷 게이트웨이들에 대한 선택문제가 있게 된다. 이러한 문제점에 대해서 네트워크의 환경에 맞는 적절한 해결책은 아직 미흡한 상태이다. 기존의 해결책은 hop count를 기준으로 간단하게 게이트웨이를 선택하고는 있지만 노드의 이동성에 따른 전송량 감소가 빈번해서 문제점이 있다. 본 논문에서는 MANET이 모바일 환경적 특성을 지니고 있는 점을 고려해서 노드의 이동성향을 고려해서 게이트웨이를 선택하도록 하여 전체네트워크의 전송량을 증가시키는 대안을 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.9
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• pp.1332-1347
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• 1993

Existing instruments are composed independently according to their function and user constructed instrumentation system with those instruments. But in the late 1980s VXI bus enables to construct instrumentation system with various modular type instruments. For an VXI bus system with the word serial protocol, an increase of data size can degrade the system performance. In this paper shared memory protocol is proposed to overcome performance degradation. The shared memory protocol is analyzed using the GSPN and compared with that of the word serial protocol. It is shown that the shared memory protocol has a better performance than the word serial protocol. The VXI bus message based-system with the proposed shared memory protocol is constructed and experimented with signal generating device and FFT analyzing device. Up to 80 KHz input signal the result of FFT analysis is accurate and that result is agree with that of conventional FFT analyzer. In signal generating experiment from 100 KHz to 1.1 GHz sine wave is generated.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.79-90
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• 2022

'Trust' is 'believing and relying on people or things', and at the same time, it is the foundation and essential condition of existence of a specific community or society. How blockchain technology creates trust can be found in the fact that it is a technology shared by all participants. As a shared technology, blockchain itself shows three characteristics: transparency, immutability, and availability. Because it is shared, it is transparent, and because it is shared, it is immutable, which is difficult to modify or delete. In addition, since it is shared, the entire system operates normally even if some failure occurs. The significance of trust created based on this blockchain technology can be summarized in three aspects as follows. The first is to understand the problem of trust in connection with technology. Second, understanding the relationship between information and trust begins to pay attention. Third, based on the expanded information processing capability, it is possible to establish a large-scale, concrete relationship without central mediation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.647-654
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• 2023

Deep Learning is a useful method for classifying and recognizing complex data such as images and text, and the accuracy of the deep learning method is the basis for making artificial intelligence-based services on the Internet useful. However, the vast amount of user da vita used for training in deep learning has led to privacy violation problems, and it is worried that companies that have collected personal and sensitive data of users, such as photographs and voices, own the data indefinitely. Users cannot delete their data and cannot limit the purpose of use. For example, data owners such as medical institutions that want to apply deep learning technology to patients' medical records cannot share patient data because of privacy and confidentiality issues, making it difficult to benefit from deep learning technology. In this paper, we have designed a privacy preservation technique-applied deep learning technique that allows multiple workers to use a neural network model jointly, without sharing input datasets, in multi-party system. We proposed a method that can selectively share small subsets using an optimization algorithm based on modified stochastic gradient descent, confirming that it could facilitate training with increased learning accuracy while protecting private information.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.543-555
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• 2019

The purpose of this study was to define and clarify the concept of Shared decision-making (SDM) in patients with chronic disease. Walker and Avant's concept analysis process was used to analyze interdisciplinary convergence in SDM. SDM in patients with chronic disease can be defined by the following attributes: acknowledgment patients as 'self-care experts', the rights of self-determination, reversible negotiation, and patient-centered care. The antecedents of SMD consisted of situations where there is a need to make a decision from several treatment options of similar efficacy, decisional conflict, patient, family, and health provider's willingness to participate in the decision-making process, enough time and opportunity for SDM. The consequences occurring as a result of SMD were decrease decisional conflict, improvement health outcome, satisfaction, quality of life, enhancement self-management and self-efficacy with long-term, and living acceptably with the illness. Based on these results, a scale measuring SDM in patients with chronic disease is needed.