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Analysis of Interference Protection Criteria for Interoperability of Radar Systems (레이다 시스템 상호 간 운용을 위한 간섭 보호 기준 분석)

  • Kim, Jung;Jung, Jung-Soo;Kwag, Young-Kil;Kim, Jin-Goog;Jeon, Young-Chan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.4
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    • pp.434-441
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    • 2014
  • Recently, a mutual interference threat has been increasing among the radar systems due to the rapid growth of the military radar operation. In this paper, the radar interference protection criteria is presented for interoperability in terms of the radar coverage and target detection probability in association with the international recommendation on the interference spectrum by ITU-R. The required criteria for the minimum allowable interference is also presented in terms of INR. In order to ensure the maximum detection probability of the radar under the mutual interference situation, only 5 % of detection range loss is allowed for the case of INR of -6 dB, and required SNR is presented at each INR in terms of the detection range and detection probability. This result will be useful for establishing the interference protection criteria in the combined military radar systems.

A Study in EMC Environment Measuring of Marine Ship (선박의 EMC 환경 측정에 관한 연구)

  • Kim, Dong-Seek;Cho, Hyung-Rae;Min, Kyeong-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.29 no.1
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    • pp.141-146
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    • 2005
  • Recently, the accidents on the sea have arisen due to the increase of the nautical traffic and the digitization of equipments for marine. Therefore, IMO(International Maritime Organization) have provided the recommendation of EMI and EMS for radio communication and equipments of marine from SOLAS cobvention at July 1st 2002. In this paper, we measured EMC environment on the HANBADA, which is Korea Maritime University training ship, for basic EMC environment of a ship. The measuring point was Bridge and Engine Control Room of the ship, we measured the test point that was set at random. Measured Band is from 30 MHz to 2 GHz, polarization measurement is processed both vertical and horizontal polarizaion. We analysed the results in consideration of permissible criteria.

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Design and Implementation of a Mobile Course Coordinator System (모바일 코스 코디네이터 시스템의 설계 및 구현)

  • Lee, Youngseok;Cho, Jungwon;Han, Yongjae;Choi, Byung-Uk
    • The Journal of Korean Association of Computer Education
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    • v.8 no.5
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    • pp.51-62
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    • 2005
  • In the aspect of the faculty, a course coordinator plays an significant role in managing the curriculum and counseling students on academic matters and fostering their progress in the course. However, the course coordinator cannot afford to advise students on which fields of their faculty fit them and which courses they have to take. This paper proposes a mobile course coordinator system to help students learn courses of their major fields deeply. Also the proposed system is implemented by using WIPI technology, so that it is platform-independent and it is able to assist the course coordinator who is counseling students. And the students with personal cellular phones are able to keep tracking their courses, and improve their knowledge about major subjects by taking courses which the system's inference engine will advise.

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Design and Implementation of Chronic Disease Risk Analysis System according to Personalized Food Intake Preferences (개인 식품섭취 선호도에 따른 만성질환 발생 위험도 분석 시스템 설계 및 구현)

  • Jeon, So Hye;Kim, Nam Hyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.3
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    • pp.147-155
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    • 2014
  • While variety of content on the internet has increased with the development of IT and person's needs about suitable information are increasing rapidly, studies for personalized service have been actively performed. In the study, we proposed the Hypertension and Diabetes risk analysis system according to personal food intake preference using the analysis method of buying preferences in product recommendation system. For the analysis of food intake preference, the Pearson correlation coefficient is used to calculate similarity weights between each reference analysis data and sample data and then reference data should be grouping into the similarity weights and calculating risk of hypertension and diabetes each group. To evaluate the significance of this system, 1,021 subjects are applied the system. Hypertension and diabetes groups' risk is significant higher than normal group statistically so, it is confirmed that food intake preference and the diseases were relevant. In this paper, we verify the validity of hypertension and diabetes risk analysis system using a personal food intake preference.

Development of Online Video Mash-up System based on Automatic Scene Elements Composition using Storyboard (스토리보드에 따라 장면요소를 자동 조합하는 주제모델링 기반 온라인 비디오 매쉬업 시스템 개발)

  • Park, Jongbin;Kim, Kyung-Won;Jung, Jong-Jin;Lim, Tae-Beom
    • Journal of Broadcast Engineering
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    • v.21 no.4
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    • pp.525-537
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    • 2016
  • In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.

Middle East Consensus Statement on the Diagnosis and Management of Functional Gastrointestinal Disorders in <12 Months Old Infants

  • Vandenplas, Yvan;Alturaiki, Muath Abdurrahman;Al-Qabandi, Wafaa;AlRefae, Fawaz;Bassil, Ziad;Eid, Bassam;El Beleidy, Ahmed;Almehaidib, Ali Ibrahim;Mouawad, Pierre;Sokhn, Maroun
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.19 no.3
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    • pp.153-161
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    • 2016
  • This paper covers algorithms for the management of regurgitation, constipation and infantile colic in infants. Anti-regurgitation formula may be considered in infants with troublesome regurgitation, while diagnostic investigations or drug therapy are not indicated in the absence of warning signs. Although probiotics have shown some positive evidence for the management of functional gastrointestinal disorders (FGIDs), the evidence is not strong enough to make a recommendation. A partially hydrolyzed infant formula with prebiotics and ${\beta}$-palmitate may be considered as a dietary intervention for functional constipation in formula fed infants. Lactulose has been shown to be effective and safe in infants younger than 6 months that are constipated. Macrogol (polyethylene glycol, PEG) is not approved for use in infants less than 6 months of age. However, PEG is preferred over lactulose in infants >6 months of age. Limited data suggests that infant formula with a partial hydrolysate, galacto-oligosaccharides/fructo-oligosaccharides, added ${\beta}$-palmitate may be of benefit in reducing infantile colic in formula fed infants in cases where cow's milk protein allergy (CMPA) is not suspected. Evidence suggests that the use of extensively hydrolyzed infant formula for a formula-fed baby and a cow's milk free diet for a breastfeeding mother may be beneficial to decrease infantile colic if CMPA is suspected. None of the FGIDs is a reason to stop breastfeeding.

A Design and Implementation of Music & Image Retrieval Recommendation System based on Emotion (감성기반 음악.이미지 검색 추천 시스템 설계 및 구현)

  • Kim, Tae-Yeun;Song, Byoung-Ho;Bae, Sang-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.1
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    • pp.73-79
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    • 2010
  • Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

Dynamic Popular Channel Surfing Scheme for Reducing the Channel Seek Distance in DTV (DTV에서 채널 탐색 거리를 줄이기 위한 선호 채널 동적 배치 방법)

  • Lee, Seung-Gwan;Choi, Jin-Hyuk
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.2
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    • pp.207-215
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    • 2011
  • Due to the increasing availability and popularity of digital television (DTV), the numbers of TV channels and programs that can be selected by consumers are also increasing rapidly. Therefore, searching for interesting channels and program via remote controls or channel guide maps can be frustrating and slow. In this paper, in order to better satisfy consumers, we propose a dynamic channel surfing scheme that reduces the channel seek distance in DTV. The proposed scheme dynamically rearranges the channel sequences according to the channel currently being watched to reduce the channel seek distance. The results of a simulation experiment demonstrate that the proposed dynamic channel surfing scheme reduces the channel seek distance for DTV channel navigation when up-down channel selection interfaces are used.

Using Genre Rating Information for Similarity Estimation in Collaborative Filtering

  • Lee, Soojung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.12
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    • pp.93-100
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    • 2019
  • Similarity computation is very crucial to performance of memory-based collaborative filtering systems. These systems make use of user ratings to recommend products to customers in online commercial sites. For better recommendation, most similar users to the active user need to be selected for their references. There have been numerous similarity measures developed in literature, most of which suffer from data sparsity or cold start problems. This paper intends to extract preference information as much as possible from user ratings to compute more reliable similarity even in a sparse data condition, as compared to previous similarity measures. We propose a new similarity measure which relies not only on user ratings but also on movie genre information provided by the dataset. Performance experiments of the proposed measure and previous relevant measures are conducted to investigate their performance. As a result, it is found that the proposed measure yields better or comparable achievements in terms of major performance metrics.

Mobile Application for Supporting Medical Treatment in Korean Medicine (한의 진료 지원 모바일 애플리케이션)

  • Kim, Sang Kyun;Oh, Yong Taek;Kim, An Na;Kim, Ji Young;Yea, Sang Jun;Kim, Chul;Jang, Hyun Chul
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.26 no.6
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    • pp.834-841
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    • 2012
  • We in this paper propose a mobile application for supporting medical treatment based on Korean medicine ontology. It has three processes for treating patients. First, after a pattern is decided for patient' symptoms, a formula for the pattern is selected and medicinal materials constituting the formula is added or removed. Second, formulas are searched and prescribed for patient's symptoms without the process of the pattern decision. Third, after medicinal materials are searched for patient's symptoms, formulas consisting of the medicinal materials are prescribed. Our application aims to help korean medicine doctors treat patients through providing decision supporting functions such as the recommendation of symptoms of diseases accompanying patient's symptom. Doctors generally diagnosis patients according to their experiences and knowledges. Nevertheless, our application can help them, providing diverse forms of information that they may miss in the medical treatment.