• 대한인간공학회지
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• 제32권4호
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• pp.371-380
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• 2013

Objective: The aim of this study is to investigate the effects of design parameters of vibrotactile signals on semantic association with transmitted information conveying different meanings. Background: As information communication relying on human visual channel becomes excessive, the utility of vibrotactile signals is being interested as a substitute measure of delivering information. Properly designed hapticons may relieve burden of visual communication by rendering distinct and meaningfully compatible haptic sensations. Method: A typical Kansei engineering approach was adopted in this study. Ten most distinctive hapticons were selected among those having different frequencies and amplitudes. Associations between the hapticons and twenty four pairs of adjectives used to describe the state of automobile in control were gathered from thirty subjects using semantic differential scales. Results: The selected pairs of adjectives were summarized by factor analysis into two semantic dimensions named 'Awareness' and 'Directionality'. The experimental hapticons matched with the semantic dimensions were presented as a haptic emotion map. Conclusion: The results from this study support that frequencies and amplitudes of haptic signals play important roles in arousing different human perceptions regarding the two haptic emotional dimensions. Application: Properly designed hapticons with respect to the contents of transmitted information will increase human operator's situation awareness as well as system performance. The result from this study can be used to develop standardized hapticons for active haptic communication.

• 한국멀티미디어학회논문지
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• 제24권3호
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• pp.416-422
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• 2021

Due to the large differences in human activity within classes, the large similarity between classes, and the problems of visual angle and occlusion, it is difficult to extract features manually, and the detection rate of human behavior is low. In order to better solve these problems, an improved Faster R-CNN-based detection algorithm is proposed in this paper. It achieves multi-object recognition and localization through a second-order detection network, and replaces the original feature extraction module with Dense-Net, which can fuse multi-level feature information, increase network depth and avoid disappearance of network gradients. Meanwhile, the proposal merging strategy is improved with Soft-NMS, where an attenuation function is designed to replace the conventional NMS algorithm, thereby avoiding missed detection of adjacent or overlapping objects, and enhancing the network detection accuracy under multiple objects. During the experiment, the improved Faster R-CNN method in this article has 84.7% target detection result, which is improved compared to other methods, which proves that the target recognition method has significant advantages and potential.

• Journal of Magnetics
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• 제8권1호
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• pp.74-78
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• 2003

The largest advantage of magnetic micromachine is wireless operation. This advantage makes it suitable for medical micromachine working inside the human body. In the medical field, low invasion treatment is very important From this point of view, very small machines working in the body without power supply cables meet the needs of the medical field. In this paper, we report about magnetic wireless actuators for medical applications.

• 한국언론정보학보
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• 제37권
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• pp.100-138
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• 2007

언론 및 방송학 교육이 그 효용성 여부의 논란을 둘러싸고 유관학계와 방송 현업 간에 미묘한 관점의 차이를 보이고 있다. 이론과 실제를 조화롭게 병행하면서 방송 전문 인력을 양성한다는 방송학계의 원칙과 이론적 지식에 편중돼 실용성 있는 교육을 제시하지 못한다는 방송 현업의 문제 제기가 바로 그것이다. 이와 같은 문제제기를 바탕으로 본 연구는 그 논의의 초점을 방송인력 양성을 위한 바람직한 미디어 교육의 의미를 고찰하는 데에 두고 이에 관한 문제점들과 그 해결 가능한 대안모색에 연구의 목적을 두었다. 이를 위해 지상파 방송3사의 인력운용 핵심 전문가들을 대상으로 심층 인터뷰를 실시했다. 우선 방송 현업의 측면에서 볼 때 대학의 언론 및 방송 유관학과의 방송학 교육이 방송사로의 인력진출을 위한 교육으로서 어떠한 의미를 갖고 있는지 그리고 방송사 인력운용 과정에서의 교육이 갖는 의미는 무엇인지에 대하여 조사했다. 또한 방송사내 연수 및 재교육 시스템과 아울러 미디어 교육적 차원에서의 대학과 방송사의 산학협동 교류의 의미에 대해서도 살펴보았다. 그 결과 언론 방송 유관학계와 방송 현업 간에는 적지 않은 시각의 차이가 존재하고 있었다. 학계는 방송 현업의 관행에 대한 개선을, 방송 현업은 유관 학계의 조화로운 미디어 교육을 요청하고 있다.

• 한국실내디자인학회논문집
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• 제19권3호
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• pp.205-213
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• 2010

The importance of communication which is oriented to interaction, fusion and connection is more increased in the post-information society. The information environment is already realized as interface to reach immediately and freely to the databased information and knowledge. The contemporary libraries execute very important roles as an intellectual infra of modern times to deliver the great human achievement and create new culture. In the mean time, the rapid information-oriented society and the development of digital technology bring out big change in the traditional dispatch and receipt method of information. For this reason, libraries as the community space of visitors integrates physical space - electronic space and reconstructs new temporary culture and value to build the new interface that connects human to human, human to space and human to information. On the premise of these awareness, this study analysis the creative interface factor of Tama Art University New Libraries in Ito Toyo in order to research the function and the application method of modern libraries. And the results are follows. 1)We can make sure the significance of communication and the integration consciousness between digital technology and analogue sensitivity that is the characteristic of the post-information society. 2)We can classify for the creative interface factors by the character as space factor(Arcade, Gallery, Lounge, AV Booth, Cafe), facility/equipment factor(Laboratory, Media, Bar, Info Shelf, Media Seat) and furniture factor(Carrel, Desk, Mag Table, XI Shelf). 3)We can see that these interface factors change the stream of library users and that the library is constructed for library users to create and discovery something easily from books and modern technologies. And we can realize also that these factors are creative installation to lead out naturally the latent liberty sense of users.

• 한국실내디자인학회논문집
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• 제18권6호
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• pp.115-123
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• 2009

The change of digital technology caused not only the whole human life but also the change of a thinking form and an expression method of human beings. Also, the interactive communication structure became to form in space structure, and space users also get changed to an active system. The interaction between a human being and space, which uses digital media as a medium, makes a human being experience sensitivity through a cognitive process of a human being. The present research aimed to find out characteristics and expression of emotional space applied with digital technology based on the relationship between media space and cognitive functioning and to realize new emotional space. The research method was to define on digital media and experience by cognition of a human being through a literature research and a precedent research and to consider on approach to emotional space through experience of a cognition process like this. Based on the theory like this, the present research progressed by focusing on dramatized characteristics of experience in the digital media space and emotional space expression by induced characteristics. Through the analysis like this, the space applied with digital media could appear as a field of communication that can experience by forming mutual relation through perception of a human being. Additionally, the space induces active participation of a human being through various productions of media and responds to movement, and thus, this suggested infinite possibility as emotional space that can try new experience by stimulating a sense as effect of a cognitive process of a human being.

• 한국전자통신학회논문지
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• 제17권1호
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• pp.111-118
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• 2022

컴퓨터 비전 연구에서 2차원 인체 자세는 매우 광범위한 연구 방향으로 특히 자세 추적과 행동 인식에서 유의미한 분야다. 인체 자세 표적 획득은 이미지에서 인체 목표를 정확히 찾는 방법을 연구하는 것이 핵심이며 인체 자세 인식은 인공지능(AI)에 적용하는 한편 일상생활에 활용되고 있어서 매우 중요한 연구의의가 있다. 인체 자세 인식 효과의 우수성의 기준은 인식 과정의 성공률과 정확도에 의해 결정된다. 본 연구의 인체 자세 인식에서는 딥러닝 전용 데이터셋인 MS COCO를 기반하여 인체를 17개의 키 포인트로 구분하였다. 다음으로 주요 특징에 대한 세분화 마스크(segmentation mask) 방법을 사용하여 인식률을 개선하였다. 최종적으로 신경망 모델을 설계하고 간단한 단계별 학습부터 효율적인 학습에 이르기까지 많은 수의 표본을 학습시키는 알고리즘을 제안하여 정확도를 향상할 수 있었다.

• 한국학교ㆍ지역보건교육학회지
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• 제20권3호
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• pp.123-134
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• 2019

Objectives: The purpose of this study is to identify the problems of verbal violence that adolescents face in the post-human age, when the non-face-to-face media is increasing. Methods: A survey was conducted on 305 adolescents, aged 14 to 16 years of middle school and high school students. The data were analyzed with the SPSS 25.0. Results: As a result of conducting multiple regression analysis to identify the type of conversation that affects verbal abuse of adolescents, a model with a conversation with family, conversation with other people, messenger conversation such as KakaoTalk, and video chat conversation was selected. The amount of explanation was 11.4%. (R2 = .114) Of these, non-face-to-face conversations have been shown to increase verbal violence, and face-to-face conversations with family have, in turn, lowered the risk. As a result of t-testing to examine the effect of verbal abuse experience on the verbal violence index, the damage experience was significant in depression (p = .042) and impulsive aggression (p = .021). (P = .000). Conclusion: This study reiterates the importance of family dialogue along with the fact that the development of various non-face-to-face media in the Fourth Industrial Revolution can have a negative impact on adolescent mental health.

• 아태비즈니스연구
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• 제13권1호
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• pp.125-139
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• 2022

Purpose - This study examines how employees' perception of HR department expertise affect their satisfaction of education and training. Moreover, this study explores that the HR department's communication activities moderate the main effects between satisfaction of education and training opportunities. Design/methodology/approach - This study predicts the positive relationship between employees' perceptions of HR department expertise and their satisfaction of education and training. Furthermore, the HR department's communication activities will strengthen this positive relationship. To test these hypotheses, this study used the Human Capital Corporate Panel (HCCP) datasets, especially individual-level 2017 data. The final number of samples is 1,947 for the analyses. In addition, this study utilized a hierarchical regression model with SPSS program. Finding - The results analyzed with the hierarchical regression model showed that the perceptions of HR department expertise had a positive relationship with satisfaction of provided educational and training. In addition, the HR department's communication activities moderated the relationship between perception of HR department expertise and satisfaction of education and training opportunities. Research implications or Originality - This study suggests academic and practical implications for future research in the human resource development filed by clarifying the critical factors to increase employees' satisfaction and transferability of education and training.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.977-985
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• 2020

Aiming at the problem of complex feature extraction and low accuracy in human action recognition, this paper proposed a network structure combining batch normalization algorithm with GoogLeNet network model. Applying Batch Normalization idea in the field of image classification to action recognition field, it improved the algorithm by normalizing the network input training sample by mini-batch. For convolutional network, RGB image was the spatial input, and stacked optical flows was the temporal input. Then, it fused the spatio-temporal networks to get the final action recognition result. It trained and evaluated the architecture on the standard video actions benchmarks of UCF101 and HMDB51, which achieved the accuracy of 93.42% and 67.82%. The results show that the improved convolutional neural network has a significant improvement in improving the recognition rate and has obvious advantages in action recognition.