• Title/Summary/Keyword: application-specific function

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On the Requirements and Risk Management using QFD Methods for ACTD Programs (신개념기술시범(ACTD) 사업에서 QFD 기법을 이용한 요구사항 및 위험관리 방안에 관한 연구)

  • Lee, Tae-Hyung;Lee, Jae-Chon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.12B
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    • pp.1744-1751
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    • 2011
  • The concept of the advanced concept technology demonstration (ACTD) has previously been introduced in USA in order to make it possible to rapidly transfer advanced technologies developed in commercial sectors to develop weapon systems in the defense area. Since then in Korea several ACTD programs have been developed and being carried out However, there are few program management methods suitable for the characteristics of the ACTD programs, which requires stringent management of the program requirements and risks due to the radically shortened development time. In this paper such a problem has been addressed and as a solution approach the quality function deployment (QFD) method has been adopted, which is being served as a successful model in various areas such as manufacturing. The QFD method is used in our study to improve communication between various stakeholders involved in the ACTD programs and also to reduce risks related to requirements. Specifically we have developed the ACTD standard templates based on the QFD method and discussed how to use the developed templates. Finally, the application of the study result is demonstrated through the ACTD program of flight information demonstration system and also specific ways are suggested to use the standard templates, to manage requirements, and to reduce risks.

An Algorithm for Optimized Accuracy Calculation of Hull Block Assembly (선박 블록 조립 후 최적 정도 계산을 위한 알고리즘 연구)

  • Noh, Jac-Kyou
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.5
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    • pp.552-560
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    • 2013
  • In this paper, an optimization algorithm for the block assembly accuracy control assessment is proposed with consideration for the current block assembly process and accuracy control procedure used in the shipbuilding site. The objective function of the proposed algorithm consists of root mean square error of the distances between design and measured data of the other control points with respect to a specific point of the whole control points. The control points are divided into two groups: points on the control line and the other points. The grouped data are used as criteria for determining the combination of 6 degrees of freedom in the registration process when constituting constraints and calculating objective function. The optimization algorithm is developed by using combination of the sampling method and the point to point relation based modified ICP algorithm which has an allowable error check procedure that makes sure that error between design and measured point is under allowable error. According to the results from the application of the proposed algorithm with the design and measured data of two blocks data which are verified and validated by an expert in the shipbuilding site, it implies that the choice of whole control points as target points for the accuracy calculation shows better results than that of the control points on the control line as target points for the accuracy of the calculation and the best optimized result can be acquired from the accuracy calculation with a fixed point on the control line as the reference point of the registration.

Comparison of Direct-labeling Method of Antibody with $^{99m}Tc$ and $^{188}Re$ (농양이식백서에서 $^{99m}Tc,\;^{188}Re$ 직접표지항체의 비교)

  • Choi, Tae-Hyun;Lim, Sang-Moo;Choi, Chang-Woon;Woo, Kwang-Sun;Chung, Wee-Sup;Lim, Soo-Jeong
    • The Korean Journal of Nuclear Medicine
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    • v.33 no.1
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    • pp.84-93
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    • 1999
  • Purpose: We investigated the direct labeling method of antibody with $^{99m}Tc$ and $^{188}Re$ and examined the stability and function of these labeled compounds in in vitro and in vivo. Materials and Methods: Disulfide bond of nonspecific human IgG was reduced to -SH group by 2-mercaptoethanol. Stannous ion was used to reduce $^{99m}Tc$ and $^{188}Re$. The stability of $^{99m}Tc$-IgG and $^{188}Re$-IgG was estimated upto 24 hrs. Biodistribution was evaluated in abscess bearing rats at 4 and 24 hr post-injection of $^{99m}Tc$ or $^{188}Re$ labeled IgG. Results: The number of -SH group per reduced IgG molecule was 2.34. The labeling yield of $^{99m}Tc$-IgG and $^{188}Re$-IgG were 90% and 95%, respectively The stability of $^{99m}Tc$-IgG at 1, 4, 6 and 24 hr was 91%, 83%, 78%, 7% and that of $^{188}Re$-IgG at 1, 4, 16 and 24 hr was 94%, 80%, 47%, 42%, respectively. At 4 hr post-injection of $^{99m}Tc$-IgG, high uptake was found on kidney, blood, stomach and abscess ($9.42{\pm}0.68,\;1.43{\pm}0.24,\;0.86{\pm}0.18,\;0.72{\pm}0.10$ %ID/g, respectively). The uptakes at 24 hr were kidney, abscess,.itomach, and blood in descending order. In case of $^{188}Re$-lgG, high uptake at 4 hr post injection appeared on kidney, blood, abscess and stomach ($3.92{\pm}0.62,\;1.32{\pm}0.08,\;0.88{\pm}0.01,\;0.26{\pm}0.06$, respectively). The uptakes at 24 hr were kidney, abscess, blood and stomach in descending order. The abscess to blood uptake ratio of $^{99m}Tc$-IgG was 0.5 at 4 hr and 2.02 at 24 hr and that of $^{188}Re$-IgG was 0.67 and 1.29. Conclusion: $^{99m}Tc$-IgG and $^{188}Re$-IgG canbe labeled efficiently with direct labeling method. However, $^{99m}Tc$-IgG and $^{188}Re$-IgG, labeled with direct method, was unstable. Further study is needed to enhance the stability of the antibody labeling.

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A Study on Zoning and Management of Conservation Area and Ecological Management Plan on Urban Stream Using Marxan - A Case of Jungrangcheon(Stream) in Seoul - (Marxan을 이용한 도시하천의 보전지역 설정 및 생태적 관리방안 연구 - 서울시 중랑천을 대상으로 -)

  • Yun, Ho-Geun;Han, Bong-Ho;Kwak, Jeong-In
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.5
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    • pp.16-27
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    • 2020
  • This study presented a plan for the establishment of conservation areas and the ecological management of those areas in the stream based on the Marxan with Zones Program for a Jungrangcheon Stream in downtown Seoul. The application of the Marxan with Zones Program included the stage of planning unit setting, application of mapping indices, numerical correction for repetitive analysis, creation of scenario-specific optimizations through analysis, analysis of sensitivity by scenario, review, and the selection of optimal plans among the scenarios considered. As a result of the establishment of a conservation area near Jungrangcheon Stream, which has several watershed areas, including an upper-middle-class wildlife protection zone, which was previously designated and managed as a conservation area, and the migratory protection zone downstream of Jungrangcheon Stream were designated as key conservation areas. A number of wild birds were observed in the upper reaches of Jungrangcheon Stream, adjacent to the forests of Suraksan Mountain and Dobongsan Mountain. The downstream area is a habitat for migratory birds that travel along the stream and the adjacent river ecosystem, including the Hangang River confluence and Cheonggyecheon Stream confluence. Therefore, the upper and lower reaches of Jungrangcheon Stream are connected to forest ecosystems such as Dobongsan Mountain, Suraksan Mountain, and Eungbongsan Mountain, as well as urban green area and river ecosystems in the basin area, which influence the establishment of conservation areas. This study verified the establishment and evaluation of existing conservation areas through the Marxan with Zones Program during the verification of the conservation areas and was presented as in-stream management and basin management method to manage the basin areas derived from core conservation areas determined through the program.

A Study on the Application of UDL to Christian Unification Education in the Era of Multiculturalism (다문화시대 기독교통일교육에 대한 보편적학습설계(UDL) 적용 제고)

  • Kim, Seongkyeol;Ahn, Milee
    • Journal of Christian Education in Korea
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    • v.63
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    • pp.407-433
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    • 2020
  • South Korea is currently facing multiculturalism, appropriately demanding broadened view and access to the study of Unification, especially in terms of who should be the subject. In congruence, recent Unification Education studies are proposing values stressed in Multiculturalism to function as the core ground, upon which other traits and contents are to follow. Similarly, Christian Education field is also reflecting the recent trend, welcoming 'everyone' to participate in preparing reunification of Korean Peninsula. However, most studies consist of suggesting and introducing directions for new approaches, not so much of dealing with systems or guidelines for practical practices. Information provided in fragments can rather cause confusion in understanding the concept, and lack of specific guidelines can soon lead to poor performances. In this study, Universal Design for Learning (UDL) is introduced as a methodology to be examined, whether it could effectively embody and systemize the newly emerged Multicultural Christian Unification Education. Therefore, the purpose of this study is 1) to generalize the concept of Christian unification education introduced in the multicultural era and 2) examine whether UDL is suitable for uniformizing and spreading the Multicultural approach of Christian Unification Education. Specifically, this study highly focused on examining whether UDL is a suitable methodology to achieve the goal of Multicultural Christian unification education, while uniformizing the diversities within multicultural Christian Unification Education. Through a thorough research, it was proved that the purpose and characteristics of multicultural Christian unification education are similar to those of UDL in that both focus on accepting heterogeneity as something "different" rather than something "wrong." Also, it was found that the application of the theory and guidelines of UDL can effectively unify while respecting the diverse methodologies used in Multicultural Christian Education.

Design of Serendipity Service Based on Near Field Communication Technology (NFC 기반 세렌디피티 시스템 설계)

  • Lee, Kyoung-Jun;Hong, Sung-Woo
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.293-304
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    • 2011
  • The world of ubiquitous computing is one in which we will be surrounded by an ever-richer set of networked devices and services. Especially, mobile phone now becomes one of the key issues in ubiquitous computing environments. Mobile phones have been infecting our normal lives more thoroughly, and are the fastest technology in human history that has been adapted to people. In Korea, the number of mobile phones registered to the telecom company, is more than the population of the country. Last year, the numbers of mobile phone sold are many times more than the number of personal computer sold. The new advanced technology of mobile phone is now becoming the most concern on every field of technologies. The mix of wireless communication technology (wifi) and mobile phone (smart phone) has made a new world of ubiquitous computing and people can always access to the network anywhere, in high speed, and easily. In such a world, people cannot expect to have available to us specific applications that allow them to accomplish every conceivable combination of information that they might wish. They are willing to have information they want at easy way, and fast way, compared to the world we had before, where we had to have a desktop, cable connection, limited application, and limited speed to achieve what they want. Instead, now people can believe that many of their interactions will be through highly generic tools that allow end-user discovery, configuration, interconnection, and control of the devices around them. Serendipity is an application of the architecture that will help people to solve a concern of achieving their information. The word 'serendipity', introduced to scientific fields in eighteenth century, is the meaning of making new discoveries by accidents and sagacity. By combining to the field of ubiquitous computing and smart phone, it will change the way of achieving the information. Serendipity may enable professional practitioners to function more effectively in the unpredictable, dynamic environment that informs the reality of information seeking. This paper designs the Serendipity Service based on NFC (Near Field Communication) technology. When users of NFC smart phone get information and services by touching the NFC tags, serendipity service will be core services which will give an unexpected but valuable finding. This paper proposes the architecture, scenario and the interface of serendipity service using tag touch data, serendipity cases, serendipity rule base and user profile.

Selecting a mother wavelet for univariate wavelet analysis of time series data (시계열 자료의 단변량 웨이블릿 분석을 위한 모 웨이블릿의 선정)

  • Lee, Hyunwook;Lee, Jinwook;Yoo, Chulsang
    • Journal of Korea Water Resources Association
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    • v.52 no.8
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    • pp.575-587
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    • 2019
  • This study evaluated the effect of a mother wavelet in the wavelet analysis of various times series made by combining white noise and/or sine function. The result derived is also applied to short-memory arctic oscillation index (AOI) and long-memory southern oscillation index (SOI). This study, different from previous studies evaluating one or two mother wavelets, considers a total of four generally-used mother wavelets, Bump, Morlet, Paul, and Mexican Hat. Summarizing the results is as follows. First, the Bump mother wavelet is found to have some limitations to represent the unstationary behavior of the periodic components. Its application results are more or less the same as the spectrum analysis. On the other hand, the Morlet and Paul mother wavelets are found to represent the non-stationary behavior of the periodic components. Finally, the Mexican Hat mother wavelet is found to be too complicated to interpret. Additionally, it is also found that the application result of Paul mother wavelet can be inconsistent for some specific time series. As a result, the Morlet mother wavelet seems to be the most stable one for general applications, which is also assured by the recent trend that the Morlet mother wavelet is most frequently used in the wavelet analysis research.

A Systematic Review of Mobile Health Applications Using Self-Acupressure (자가혈위지압을 활용한 모바일 의료 어플에 대한 체계적 문헌고찰)

  • Seokyung Park;Johyun Lee;Ga-Young Jung;Celine Jang;Sang-Ho Kim
    • Korean Journal of Acupuncture
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    • v.40 no.1
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    • pp.1-12
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    • 2023
  • Objectives : This study aims to provide information regarding the status and quality of mobile applications (MAs) using self-acupressure by performing a systematic review. Methods : We conducted comprehensive searching on five international databases and two app markets from inception to July 31, 2022 to identify MAs using self-acupressure. We analyzed the characteristics of each MA regarding the name of the MA, registered app markets, target symptoms, developers, the year and country of development, cost, target age, media function, and expertise. We assessed the quality of each MA using Mobile Application Rating Scale (MARS). Results : We identified a total of 30 MAs using self-acupressure (25 MAs from the app market and 6 MAs from clinical studies, with 1 MA in common). 17 out of 24 MAs from the app market provided self-acupressure regimens for various symptoms and the others provided regimens for specific symptoms such as memory, anxiety, depression, asthma, allergy, low back pain, and headache. 14 developers were reported. 23 MAs were developed after 2013. The largest number of MAs were developed in the United States. The target age group of 12 MAs was above the age of 3, and that of 11 MAs was above the age of 12. 14 MAs provided multimedia functions such as videos. 13 MAs provided information of expertise. From clinical studies, only 3 out of 6 MAs were accessible through the app market. 4 MAs were developed by the researchers of the study. In terms of MARS, the score of MAs from the app market was higher than that of MAs from clinical studies in both objective and subjective evaluation areas. Conclusions : This study summarizes the characteristics of MAs using self-acupressure. More MAs using self-acupressure should be developed and further clinical research for MA on each symptom and disease is warranted for the diversification of MA fields using self-acupressure.

The Changes of Short-Term Memory and Autonomic Neurocardiac Function after 4-10Hz Sound and Light Stimulation - A Pilot Study - (4-10 Hz 빛과 소리자극 후 단기기억력 및 자율신경심장기능의 변화 - 예비연구 -)

  • Lee, Seung-Hwan;Kim, Jin-Hwan;Park, Joong-Kyu;Lee, Kyung-Uk;Yang, Dae-Hyun;Hong, Keun-Young;Chae, Jeong-Ho
    • Sleep Medicine and Psychophysiology
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    • v.11 no.1
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    • pp.29-36
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    • 2004
  • Objectives: Sound and light (SL) stimulation has been used as a method to induce some useful mental states in the fields of psychology and psychiatry. It is believed that sound and light entrainment device (SLED) has some specific effects through synchronization of EEG in patients who use it. Theta frequency is believed to stimulate deep relaxation and short term memory processing. This study was conducted to evaluate if 4-10 Hz SL stimulation can induce relaxation and improve short term memory function. Methods: Ten medical students with no medical or psychiatric problems participated in this study. Subjects were randomly divided into two groups. One group was applied with real SLED was applied to one group (R group) and pseudo SLED to the other group (P group). The two groups were exposed to SL stimulation with SLED 15 minutes a day for 5 days, and after two days rest the two groups were switched over. The Korean Wechsler Adult Intelligence Scale (K-WAIS), Academic Motivation Tests (AMT), Test Anxiety Scale (TAS), Korean Auditory Verbal Learning Test (K-AVLT), and digit span were used to evaluate short term memory. Spielberger's State-Trait anxiety inventory and heart rate variability (HRV) test were used to evaluate degree of relaxation. Results: Compared with S group, R group showed a significant improvement in K-AVLT and digit span after a single application of SL stimulation. But 5-day long application did not reveal any differences between the two groups. A significant change in HRV was observed in 5-day long application of SL stimulation after being switched over to other SLED. Conclusion: This pilot study suggests that 4-10 Hz SL stimulation has some positive influences on short term memory and relaxation.

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Automatic gasometer reading system using selective optical character recognition (관심 문자열 인식 기술을 이용한 가스계량기 자동 검침 시스템)

  • Lee, Kyohyuk;Kim, Taeyeon;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.26 no.2
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    • pp.1-25
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    • 2020
  • In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.