• Proceedings of the ESK Conference
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• 1997.10a
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• pp.398-405
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• 1997

과거 8년간의(1985-1992) 통계에 의하면 정면과 측면 충돌시 구속 시스텡의 하나인 Airbag장착 차량의 사망자 및 중상자 수가 현저히 감소하고 있는 것으로 나타나고있다. 그 러나 최근 소비자로 부터의 Airbag에 관한 불만을 보고 받고 있다. 즉 구속효과를 발휘함에 있어 부수적으로 인체 부상을 유발하고 있다는 것이다. 사망내지는 심각한 부상은 방지하고 있으나 경미한 부상은 오히려 증가하고 또한 신체가 적은 여성 운전자나 6세 이하의 어린이 에게는 심각한 부상의 우려가 있다는 것이다. 본 연구에서는 구속시스템의 총아인 Airbag 시스템의 심각한 부수적인 부상 보고를 입증하기 위하여 우리나라 어린이 6세 신체를 기준 으로하여 구속시스템을 착용하지 않았을 경우(실제로 많은 경우), seat belt만 착용시, Airbag만 작용시, 그리고 seat belt와 Airbag을 동시에 사용할 때를 컴퓨터 Simulation Package 이용 신체 dynamic을 모의실험 하였다. 실험결과, 기존에 알려진바와 같이 구속시스템을 사용하지 않았을 경우에 부상은 매우 컸다. 신체 사이즈가 작은 어린이 혹은 여성 운전자의 경우 Seat belt만을 사용한 경우는 Airbag만을 사용한 경우보다는 부상정도가 약간 경미하였으나 두 경우 모두 인체가 구속시스템의 구속 범위를 이탈하여 구속 시스템으로써의 역할을 충분히 하지 못하고 있었다. 특히 Seat belt와 Airbag을 동시에 사용하였을시에도 Airbag이 충분히 개선된 이후라도 신체 사이즈가 작은 경우에는 흉부부위에 의한 충격 흡수가 먼저 이루어지지 못하고, 머리에 먼저 Airbag이 접촉이 되어 충격 흡수 역할보다는 반동효과가 더 커서 머리 및 몸체가 뒤로 Rebound 하는 효과로 머리, 혹은 목의 신체 부상한계를 넘고 있어 큰 부상 내지는 사망에 이르고 있음을 알 수 있었다. 사료된다.의 결과는 자전거 에르고노미터의 결과가 트레드밀의 결과에 87.60%정도 나타났다.음을 관찰하였다. 특히 vitamin C와 E의 병용투여는 상승적으로 적용하여 간세포손상을 더욱 억제시킴을 알 수 있었다.mance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively rel

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.25-32
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• 2020

Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.1A
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• pp.67-73
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• 2008

Our research is aimed at developing an architectural frame-work of USN sensor network discovery service systems. The research is fo-cused on the four areas a survey of USN technology, development of a USN software model, development of the design space of the USN sensor network discovery service, and finally the architectural framework of the USN sensor network dicovery service. The survey of the USN technology is conducted on four technological visions that contain USN system technology, USN networking technology, and USN middleware along with the service platform, With respect to each technological division, domestic and worldwide leading research projects are primarily explored with their technical features and research projects are primarily explored with their technical features and research output To provide a means to analyze sensor network discovery services, we devel-oped the design space of the sensor network discovery services by exploring the scalability with respect to query scope, lookup performance, and resolution network.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.778-804
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• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.291-303
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• 2019

For cities with ancient buildings at core areas, night lighting is an effective means to demonstrate their history and culture. In this regard, night scenes of these ancient buildings are evaluated from multiple aspects, such as color rendition, brightness ratio affected by ambient light and technological realization of lighting facilities. This study builds a visual evaluation system for night scenes of ancient buildings based on three dimensions, namely ancient architecture carrier performance, visual perception and technological realization, and explains specific evaluation sub-criteria one by one. In addition, this study adopts Analytic Hierarchy Process (AHP) to analyze the impact of each sub-criteria item on the weight of the whole evaluation system, and conducts a consistency test to show that the evaluation system meets the reasonable requirements of hierarchy setting. Moreover, relative importance of each sub-criteria item may be determined based on their corresponding weights.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.221-232
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• 2019

The uniqueness of the K-Pop 'idol' culture, which is a key area of its success, can be found not only through the acceptance of diverse cultures and the strengthening of the performance capacity, but also by the effective utilization of new technological environment. As a result, the Korean idol system, which is distinguished from the Japanese idol system, is established. And these systems are evolving with new technological environments. This paper examines the process of evolution of the Korean idol system that adapts to the technical environment through the case of the idol girl group 'IZ*ONE'. 'IZ*ONE' not only achieved rapid success by actively utilizing SNS and new media and producing interactive narratives, but also establishing stable expansion and homogeneity of fandom through interactive rituals. By comparing the evolution and achievement of such a system with the Japanese idol system, we will be able to present the factors of K-Pop success more clearly.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.39-52
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• 2023

In this study, project information of government-funded research institute in the food field was collected and analyzed to systematically identify the factors affecting the process of transferring technological achievements of public research institute to the private sector. This study hypothesized that human resources, financial resources, and technological characteristics as input factors of R&D projects affect output factors, such as research papers or patents produced by R&D projects. Moreover, these outputs would serve as drivers of the technology transfer as one of the R&D outcomes. Linear Regression Analysis and Poisson Regression Analysis were conducted to empirically and sequentially investigate the relationship between input factors and output and outcome of R&D projects and the results are as follows: First, the principle investigator's career and participating researcher's size as human resource factors have an influence on both the number of SCI (science citation index) papers and patent registration. Second, the research duration and research expenses for the current year have an influence on the number of SCI papers and patent registrations, which are the main outputs of R&D projects. Third, the technology life cycle affects the number of SCI papers and patent registrations. Lastly, the higher the number of SCI papers and patent registrations, the more it affected the number of technology transfers and the amount of technology transfer contract.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.570-590
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• 2024

Breast cancer ranks among the most prevalent forms of malignancy and foremost cause of death by cancer worldwide. It is not preventable. Early and precise detection is the only remedy for lowering the rate of mortality and improving the probability of survival for victims. In contrast to present procedures, thermography aids in the early diagnosis of cancer and thereby saves lives. But the accuracy experiences detrimental impact by low sensitivity for small and deep tumours and the subjectivity by physicians in interpreting the images. Employing deep learning approaches for cancer detection can enhance the efficacy. This study explored the utilization of thermography in early identification of breast cancer with the use of a publicly released dataset known as the DMR-IR dataset. For this purpose, we employed a novel approach that entails the utilization of a pre-trained MobileNetV2 model and fine tuning it through transfer learning techniques. We created three models using MobileNetV2: one was a baseline transfer learning model with weights trained from ImageNet dataset, the second was a fine-tuned model with an adaptive learning rate, and the third utilized early stopping with callbacks during fine-tuning. The results showed that the proposed methods achieved average accuracy rates of 85.15%, 95.19%, and 98.69%, respectively, with various performance indicators such as precision, sensitivity and specificity also being investigated.

• (The) Research of the performance art and culture
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• no.22
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• pp.371-411
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• 2011

In the twenty first century of rapid cultural change performing art requires new mode of expression based on imaginative power and creativity as well as establishing its own identity. The modern technological environment support this with advanced technology and bring about the expansion of reason from new experience. The introduction of digital media on artistic expression in particular, expands the physical ability of human body which is the main subject of performing art. A virtual body from digital technology is freed from physical boundaries and goes over space and time. It also suggests the possibility of new mode of communication with audience. This study aims at examining the subject of performing art and its digitalized movement focusing on EveR, the world's first professional robot actor. The robot actor which came on stage according to the new expression medium, a digital body, stands in need not only of technological value but also of cultural and artistic application for expression in art. In this endeavor to meet the demand, this study examines the development process and function of 'EveR' the robot actor. Also it searches into the performance of Ever which replaced human being as well as the historical significance of the title:the world's first. To be more specific, there is a example research on two performances:a pansori play "EveR is simply stunning(2009)" and children's play "The Robot Princess and Seven Dwarfs(2009)." Through this example research, it is enabled to anticipate the influence of robot actors on performing arts and to search for the better way of them to evolve. Furthermore, it aims at finding ways to create high value through promoting robot actors to be familiar to the public as well as supporting them to become active cultural contents. The performance with robotic technology is one of the artistic experiment that may cause the change of the future of performing art by actualizing technological imagination together with human body and machinery. As a consequence, it is expected that the meeting of performing art and robotic technology gives positive influence on activating performing art as one of the integrated cultural phenomenon which satisfies the taste of modern era. Moreover, this study may also be the beginning of the expansion of performing art to stretch to diverse field.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.4
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• pp.385-390
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• 2015

Quay cranes are considered core equipment for container terminal operation. However, unmanned operation systems have not as yet been announced due to the technological difficulties of implementation. In this paper, we developed a wireless controller to control a quay crane simulator remotely and conducted its performance test, a first step toward unmanned operation of quay cranes. The communication delay of a developed wireless controller was about 9.4ms on average while that of existing wired controllers was about 5.6ms. The same functions were implemented and tested on a smart phone where the average communication delay was 7.3ms. In addition, to apply the developed system into a real environment, we proposed a network architecture based on IEEE 802.11ac and carried out its performance evaluation. When the distance between two nodes was 50m apart, the throughputs of the TCP (Transmission Control Protocol) and UDP (User Datagram Protocol) were 57Mbps and 189Mbps, respectively. The communication delay of the control data was 9.1ms through the TCP channel. These results reveal the proper working of remote quay crane operation if we adopt the IEEE 802.11ac network.