• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.155-162
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• 2021

With the global COVID-19 pandemic, the tourism sector and all consumption have contracted with the untact era. Wine will also be sold and developed in various ways non-face-to-face in the future. Therefore, it is necessary to develop apps and web servers that focus on health in the era of single-person households and non-face-to-face. This study used facial recognition data based on photos of adult men and women in their 40s and 50s to analyze the Sasang constitution through a mobile app and web server, and suggested wine recommendations suitable for their constitution. First, the user's body information is entered. And through the facial recognition mobile app, recommend the right wine after analyzing the body type. if it's not like the first recommended wine, it is configured to receive another wine recommendation. In the future, the number of single-person households will increase further, and in the age of well-being, wine recommendations that fit my body will be useful. Wine recommendation suitable for Sasang constitution will be a useful mobile application to manage personal healt

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.45-56
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• 2020

Purpose The purpose of this study is to present the direction of efficient e-learning education through the importance and satisfaction survey of learners of non-face-to-face video lectures. Therefore, by grasping the degree of satisfaction of the importance ratio through the IPA analysis method, we try to present improvement measures for insufficient education methods. Design/methodology/approach For IPA analysis, we conducted an online survey of four universities and analyzed 154 samples. The analysis method used SPSS, and through the wordcloud analysis method of R, the suggestions for the non-face-to-face lecture method felt by learners were analyzed to derive implications for improving the quality of education. Findings As a result of the overall satisfaction survey for the entire non-face-to-face class, the factors with the greatest dissatisfaction are listed as follows. Complaints about the adequacy of learning materials and activities (quiz, discussion, assignments, etc.), Complaints about how to use the produced content, and complaints about announcements about class management (lecture schedule, lecture method) were identified in order. The factors of dissatisfaction were clear in the non-face-to-face class where interactive communication was impossible or insufficient. In addition to the lack of quick Q&A, there seems to have been a phenomenon of some neglect.

• 한국정보전자통신기술학회논문지
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• 제4권1호
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• pp.3-8
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• 2011

본 논문은 실험영상이 학습영상에 대해 조명의 차이가 있는 경우에도 데이터베이스 안에서 누구인지를 식별하는 얼굴인식 방법을 제안하였으며, 또한 HMM과 KLT를 이용한 얼굴인식 알고리즘의 수행결과를 비교, 분석하였다. 얼굴인식 방법으로 측정벡터는 직교변환(Karhuman Loevs Trans-form : KLT)의 상관관계를 이용하여 얻은 HMM의 정역학특성을 사용하여 HMM 기존의 얼굴인식 방법에서 인식률을 개선하였으며, 실험결과로써 조명의 조건에 따른 여러 가지 복잡한 주변 상황변화에서도 제안된 방식의 효율성을 입증할 수 있었다.

• 공학논문집
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• 제5권1호
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• pp.5-16
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• 2004

컴퓨터 통신이 보조통신 수단에서 주 통신 수단으로 변하고 있는 지금 메신저는 그 선두에 서있다. 꿈이라 생각 했던 얼굴을 보면서 대화 한다는 것이 컴퓨터를 통해 이루어 졌다. 이 두 가지 기능을 합쳐 놓은 것이 멀티 메신저이다. 이 논문에서 구현된 멀티메신저는 기존의 메신저들과 경쟁력을 두기 위하여 각각 차세대 언어라 할 수 있는 .NET 와 강력한 MFC을 사용하였다. 또한 메신저 기능뿐 만이 아니라 화상 채팅 기능을 포함했다.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.104-112
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• 2019

This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

• 한국정보시스템학회지:정보시스템연구
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• 제30권4호
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• pp.277-301
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• 2021

Purpose The purpose of this study is to analyze the sentiment responses of the general public to non-face-to-face work using text mining methodology. As the number of non-face-to-face complaints is increasing over time, it is difficult to review and analyze in traditional methods such as surveys, and there is a limit to reflect real-time issues. Approach This study has proposed a method of the research model, first by collecting and cleansing the data related to non-face-to-face work among tweets posted on Twitter. Second, topics and keywords are extracted from tweets using LDA(Latent Dirichlet Allocation), a topic modeling technique, and changes for each section are analyzed through DTM(Dynamic Topic Modeling). Third, the complaints of non-face-to-face work are analyzed through the classification of positive and negative polarity in the COVID-19 section. Findings As a result of analyzing 1.54 million tweets related to non-face-to-face work, the number of IDs using non-face-to-face work-related words increased 7.2 times and the number of tweets increased 4.8 times after COVID-19. The top frequently used words related to non-face-to-face work appeared in the order of remote jobs, cybersecurity, technical jobs, productivity, and software. The words that have increased after the COVID-19 were concerned about lockdown and dismissal, and business transformation and also mentioned as to secure business continuity and virtual workplace. New Normal was newly mentioned as a new standard. Negative opinions found to be increased in the early stages of COVID-19 from 34% to 43%, and then stabilized again to 36% through non-face-to-face work sentiment analysis. The complaints were, policies such as strengthening cybersecurity, activating communication to improve work productivity, and diversifying work spaces.

• 한국콘텐츠학회논문지
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• 제22권3호
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• pp.309-321
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• 2022

최근 코로나 바이러스 감염증(COVID19)의 확산으로 다양한 분야에서 대면으로 이루어지던 일상에 대한 변화가 요구되면서 빠른속도로 다양한 활동이 비대면 방식으로 전환되거나 새로운 비대면 활동 방법을 검토하고 있다. 하지만 기존 대면 방식의 활동을 단순히 디지털 기술을 이용해 비대면화하는데 한계가 존재하며 이는 역설적으로 그간 디지털을 중심으로 해결책을 제시해온 UX 디자인 분야에서 두드러지게 나타나고 있으며 협업을 강조하는 UX 디자인 특성에 기인한다. 특히 UX 디자인 분야에서 이해관계자의 의견을 수집하고 아이디어를 도출하는 등 생산적 활동 방법인 워크숍 활동에서 소통과 협업 측면에서 원활한 진행이 어려울 것으로 보인다. 이러한 필요성에 따라 UX 디자인 분야에서 워크숍 활동을 특징을 파악하고 워크숍 활동의 주요 행동에 대해 효과적으로 비대면 전환할 수 있는 방안을 제시하고자 한다. 그 과정에서 닐슨노먼그룹이 정의한 UX 디자인 분야의 워크숍 활동 유형 중 아이디어 생산 및 발산과 수렴 활동이 활발하게 일어나는 디자인 워크숍 유형을 대상으로 하여 표준 프로세스를 도출하였다. 표준 프로세스에 워크숍 활동을 촉진할 수 있는 방법론과 소통 및 디자인 활동 협업을 위한 비대면 서비스를 조합하여 비대면 워크숍 활동을 구성하는 프레임워크를 개발하고 다양한 워크숍 유형에 대응하여 비대면화를 위한 적용 가능성과 효용성을 확인 하였다. 본 연구 결과를 바탕으로 UX 디자인 워크숍 활동에 대해 효율적인 비대면 전환과 워크숍 활동을 통한 이해관계자들의 협업 측면에서 활용을 기대한다.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• Archives of Plastic Surgery
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• 제44권3호
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• pp.251-256
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• 2017

The most important environment of human being is the human being itself. So we have been sensitive to the appearance of ours and others at the same time. This writing aims for locating origins of the face and discerning differences [1] between the face of humans and those of other animals [2]. The face assumes a substantial significance not merely as a body function, but, above all, a means of expressions and features being looked at. The face is an important means of communication to humans as social animals. Knowledges about the various faces of the face are useful to become a efficient specialist as an extensive generalist because the face is a regular patron to the plastic surgery. The face in Korean consists of two elements of eol (the soul or the mind) and gul a residing place). When Wittgenstein says "the face is the soul of the body," his semantics corresponds to the Korean meaning. The meaning of the face in Korean is summed up in five ways. (1) the head or the front of the face with the eye, the nose and the mouth, (2) reputation or honor, (3) the general description of the psychological state, such as "the face of sadness", (4) a figure person representing a particular area, such as "Sun Dong-yul is the face of the Korean baseball community," (5) the primary imagery of the things and the event, such as "He is the face of the 4.19 Revolution." As such, the word "face", referring to a body part, extends its usages in a wide variety of contexts. What image do you convoke when you think of a person? With rare exceptions, you are most likely to invoke the face of the person. The face has come to be a byword for one's reputation or honor, and a pronoun for an expression of the essence of the thing and the event. This is presumably true of other languages. That is because human beings are equipped with the universal rule of language. A comprehensive understanding of the face is a must for cosmetic surgeons whose main responsibility is to sculpt and repair the face (Fig. 1).

• International journal of advanced smart convergence
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• 제9권3호
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• pp.246-252
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• 2020

Facial recognition is a biometric technology that is used in various fields such as user authentication and identification of human characteristics. Face recognition applications are practically used in various fields, but very few applications have been developed to improve the factory work environment. We implemented applications that uses face recognition to identify a specific employee in a factory .work environment and provide customized information for each employee. Factory workers need documents describing the work in order to do their assigned work. Factory managers can use our application to register documents needed for each worker, and workers can view the documents assigned to them. Each worker is identified using face recognition, and by tracking the worker's face during work, it is possible to know that the worker is in the workplace. In addition, as a mobile app for workers is provided, workers can view the contents using a tablet, and we have defined a simple communication protocol to exchange information between our applications. We demonstrated the applications in a factory work environment and found several improvements were required for practical use. We expect these results can be used to improve factory work environments.