• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.391-401
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• 2022

As deep learning-based object detection and recognition research have been developed recently, the scope of application to industry and real life is expanding. But deep learning-based systems in the construction system are still much less studied. Calculating materials in the construction system is still manual, so it is a reality that transactions of wrong volumn calculation are generated due to a lot of time required and difficulty in accurate accumulation. A fast and accurate automatic drawing recognition system is required to solve this problem. Therefore, we propose an AI-based automatic drawing recognition accumulation system that detects and recognizes steel materials in construction drawings. To accurately detect steel materials in construction drawings, we propose data augmentation techniques and spatial attention modules for improving small object detection performance based on YOLOv4. The detected steel material area is recognized by text, and the number of steel materials is integrated based on the predicted characters. Experimental results show that the proposed method increases the accuracy and precision by 1.8% and 16%, respectively, compared with the conventional YOLOv4. As for the proposed method, Precision performance was 0.938. The recall was 1. Average Precision AP_0.5 was 99.4% and AP_0.5:0.95 was 67%. Accuracy for character recognition obtained 99.9.% by configuring and learning a suitable dataset that contains fonts used in construction drawings compared to the 75.6% using the existing dataset. The average time required per image was 0.013 seconds in the detection, 0.65 seconds in character recognition, and 0.16 seconds in the accumulation, resulting in 0.84 seconds.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.79-87
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• 2006

This paper proposes the design and implementation of engine to control characters by using machine teaming techniques. Because the proposed engine uses the context data in the rum time as the knowledge data, there is a merit which the player can not easily recognize the behavior pattern of the intelligent character. To do this, the paper proposes to develop the module which gathers and trains the context data and the module which tests to decide the optimal context control for the given context data. The developed engine is ported to FEAR and run with Quake2 and experimented far the correctness of the development and its efficiency. The experiments show that the developed engine is operated well and efficiently within the limited time.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1353-1356
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• 2021

블록체인은 다수의 노드 네트워크 내에서 거래내역을 분산 저장함으로써 투명성을 확보하는 기술이다. 최근에는 금전적 가치를 지닌 선하증권(Bill of Lading, B/L 서류)에 블록체인을 적용하여 무결성을 확보하고 거래 과정을 간소화 하기위한 연구가 진행되고 있다. 본 논문에서는 거래자 중심의 블록체인 기반의 선하증권 시스템을 제안한다. 수출자는 발행 받은 선하증권을 AI(Artificial intelligence)기반의 OCR(Optical character recognition)기능을 통해 블록체인에 등록하고, 각국 은행에서 열람하여 신용장거래를 진행한다. 수입자는 선하증권 정보를 담은 QR(Quick Response code)코드로 자기증명을 하여 물품을 인도 받게 된다. 이는 수출자 측에서는 선적서류를 우편으로 보낼 시간과 비용을 단축하고, 서류의 무결성을 입증할 수 있다는 점에서 큰 효과를 얻을 수 있다. 수입자 측에서는 서류가 등록됨과 동시에 확인할 수 있고, 해당 거래를 신뢰할 수 있다는 이점을 갖는다. 마지막으로 은행 측에서는 선적서류에 대해 보안성을 갖출 수 있고 검증이 더 신속하게 이루어질 수 있다.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.287-293
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• 2023

With the rapid development of domestic and international over-the-top markets, a large amount of video content is being created. As the volume of video content increases, consumers tend to increasingly check data concerning the videos before watching them. To address this demand, video summaries in the form of plot descriptions, thumbnails, posters, and other formats are provided to consumers. This study proposes an approach that automatically generates posters to effectively convey video content while reducing the cost of video summarization. In the automatic generation of posters, face recognition and clustering are used to gather and classify character data, and keyframes from the video are extracted to learn the overall atmosphere of the video. This study used the facial data of the characters and keyframes as training data and employed technologies such as DreamBooth, a text-to-image generation model, to automatically generate video posters. This process significantly reduces the time and cost of video-poster production.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.149-161
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• 2019

At present, we are at the point of change of the 4th industrial revolution era due to the development of artificial intelligence(AI) and rapid technological innovation that no one can predict until now. This study started from the question of 'What role should home economics education play in the era of the Fourth Industrial Revolution?'. The Fourth Industrial Revolution is characterized by AI, cloud computing, Internet of Things(IoT), big data, and Online to Offline(O2O). It will drastically change the social system, science and technology and the structure of the profession. Since the dehumanization of robots and artificial intelligence may occur, the 4th Industrial Revolution Education should be sought to foster future human resources with humanity and citizenship for the future community. In addition, the implication of education in the fourth industrial revolution, which will bring about a change to a super-intelligent and hyper-connected society, is that the role of education should be emphasized so that humans internalize their values as human beings. Character education should be established as a generalized and internalized consciousness with a concept established in the integration of the curriculum, and concrete practical strategies should be prepared. In conclusion, home economics education in the 4th industrial revolution era should play a leading role in the central role of character education, and intrinsic improvement of various human lives. The fourth industrial revolution will change not only what we do, or human mental and physical activities, but also who we are, or human identity. In the information society and digital society, it is important how quickly and accurately it is possible to acquire scattered knowledge. In the information society, it is required to learn how to use knowledge for human beings in rapid change. As such, the fourth industrial revolution seeks to lead the family, organization, and community positively by influencing the systems that shape our lives. Home economics education should take the lead in this role.

• The Journal of Korean Medicine
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• v.35 no.3
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• pp.155-165
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• 2014

Objectives: The pulse diagnosis to identify the symptoms has been considered important in Korean medicine. The position and character of disease would be confirmed by pulse diagnosis of left and right radial artery. This paper is to analyze the characteristics and differences of left and right blood vessels. Methods: In this study, left and right radial artery and dorsalis pedis artery was measured and analyzed by using condenser typed pulse analyzer. Commercially available pulse analyzer was used to measure the radial artery. The pulse wave was measured in 20 laboratory healthy men and women. The blood vessel aging degree and index of augmentation of blood vessel was obtained from the measured pulse wave graph and the characteristics and differences of the left and right blood vessel was analyzed. Results: The significant difference of pulse transit time between the right handed and non-right handed was not found. The correlation of radial artery and dorsalis pedis artery had no significant difference. By obtaining the blood vessel aging index (AGI) and augmentation index (AI) of blood vessel at the left and right radial artery, the significant difference between right handed and non-right handed was not found. Conclusions: The result of this study would help to explain the characteristic of blood vessel with respect to the left and right handed. We suggest that research of pulse wave of the left and right blood vessel using pulse analyzer should be needed in further study.

• Proceedings of the Korean Society of Developmental Biology Conference
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• 2003.10a
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• pp.7-8
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• 2003

Since it was first reported in 1997, somatic cell cloning has been demonstrated in several other mammalian species. On the mouse, it can be cloned from embryonic stem (ES) cells, fetus-derived cells, and adult-derived cells, both male and female. While cloning efficiencies range from 0 to 20%, rates of just 1-2% are typical (i.e. one or two live offspring per one hundred initial embryos). Recently, abnormalities in mice cloned from somatic cells have been reported, such as abnormal gene expression in embryo (Boiani et al., 2001, Bortvin et al., 2003), abnormal placenta (Wakayama and Yanagimachi 1999), obesity (Tamashiro et ai, 2000, 2002) or early death (Ogonuki et al., 2002). Such abnormalities notwithstanding, success in generating cloned offspring has opened new avenues of investigation and provides a valuable tool that basic research scientists have employed to study complex processes such as genomic reprogramming, imprinting and embryonic development. On the other hand, mouse ES cell lines can also be generated from adult somatic cells via nuclear transfer. These 'ntES cells' are capable of differentiation into an extensive variety of cell types in vitro, as well assperm and oocytes in vivo. Interestingly, the establish rate of ntES cell line from cloned blastocyst is much higher than the success rate of cloned mouse. It is also possible to make cloned mice from ntES cell nuclei as donor, but this serial nuclear transfer method could not improved the cloning efficiency. Might be ntES cell has both character between ES cell and somatic cell. A number of potential agricultural and clinical applications are also are being explored, including the reproductive cloning of farm animals and therapeutic cloning for human cell, tissue, and organ replacement. This talk seeks to describe both the relationship between nucleus donor cell type and cloning success rate, and methods for establishing ntES cell lines. (중략)

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.1-7
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• 2008

Objectives: The basis research of aged people's healthcare technology is very important, because our nation goes into an aged society rapidly. Especially in traditional medicine, pulse shapes of aged people were supposed to weak and empty pulse until now, but any objective measurement and compare research do not taken. Methods and Results: Therefore in this study we design observation study to find characteristic of pulse between younger group (age $20{\sim}30$) and elder group (age $43{\sim}80$) in Busan area. We used 3-dimensional pulse analyzer '3-D MAC' (Daeyomedi Co., Ltd.). And major parameters for comparison are 1) pulse height (h1), 2) applied pressure, 3) pulse power (energy), 4) high pressure duration (w) and 5) R-AI. Conclusions: According to analysis result, elder people's pulse has more large value in pulse height, applied pressure and pulse power than younger's that. It reveals that elder people in modernized lifestyle has Yang symptoms as well Yin symptoms. Consequently we need new method to care elder people's health, and this means more important direction than old text book. From now on verification research with objective diagnosis device like 3-D MAC, must be activated to build of evidence in traditional medicine. Cause traditional medicine's spirit of care and prevention is suitable to care elder people's cardiac and cerebral vascular disease those are have close relation with elder people.

• Journal of Korea Game Society
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• v.8 no.4
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• pp.95-105
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• 2008

In virtual games, Non-Playing Character(NPC)s as game elements tend to frequently communicate with game players. Although the artificial-intelligence (AI) algorithm widely used for games has been greatly developed, basic roles of NPCs have remained on the same. In a life game whose goal is to observe the actions and behaviors of the human-like NPCs, for example, their straightahead actions cause boredom. Actually, NPCs fail to display their various expressions that are characterized by humans. To make NPCs act like humans, several characters with a greater variety of characteristics need to be created. this paper proposes how NPCs both express the wide range of emotions using probability distribution and react based on their different characteristics. To verify the change of NPC actions, personalities were assigned according to the probability distribution and this algorithm was applied to a 3D game to validate the method suggested in this paper.

• Korean Journal of Adult Nursing
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• v.14 no.4
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• pp.564-572
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• 2002

Purpose: This study was conducted to describe qualitatively the entities of nurse's experiences in general hospitals and to suggest basic data guiding research on developing Standards of clinical nursing practice in Korea. Method: Fourteen nurses working at general hospitals with over 300 beds in Seoul were interviewed in-depth until saturation using tape-recorders and transcription. Result: The central theme of clinical nursing practice experienced by subjects was "being with clients" that means accepting client's personal character, solving client's needs and providing client-centered nursing. A also "being with clients" was felt to be the responsibility of nurses which was learned from their nursing schools. The nursing strategies performed in order to be with patients were proving skillful nursing techniques, accepting, educating, emotional support, advocating, and self-reflecting, the subjects experienced somewhat problematic affects such as difficulties in interpersonal relationship, work overload, negative image of nursing, deficit of self-confidence for nursing actions, poor working conditions, and unfair treatment. Nurses at the hospital practiced with pride when they felt that they were accepted by clients. Conclusion: Further research is needed to analysis problems in clinical practice and the comparison of nurses' experiences of clinical practice, with nurses' experiences in various settings.