• Title/Summary/Keyword: SoQ

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A Comparative Study of SPECT, q-EEG and CT in Patients with Mild, Acute Head Trauma (경미한 급성 두부외상환자에서 SPECT, q-EEG 및 CT의 비교)

  • Lee, Suk-Ho;Kim, Jin-Seok;Moon, Hee-Seung;Lee, Sung-Ku;Kim, So-Yon;Kim, Young-Jung;Park, Byung-Yik;Lee, Gwon-Jeon;Kim, Kap-Deuk;Kim, Ho-Joeng;Cho, Kyeung-Hyeung;Seol, Hyun-Uk
    • The Korean Journal of Nuclear Medicine
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    • v.27 no.2
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    • pp.165-169
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    • 1993
  • Functional cerebral impairments have been verified objectively by brain SPECT and q-EEG (quantitative electroencephalography). Microcerebral circulatory defects without anatomical changes can-not be detected by the brain CT or MRI. Brain SPECT using $^{99m}Tc$-HMPAO (Hexamethyl propyleneamine oxime) as a key radioisotope may be accepted as the useful method for identifying functional cerebral impairments. We studied 25 patients with mild head trauma to define whether the SPECT was helpful in detecting cerebral impairment. Results were as follows: The SPECT was positive in 23 patients out of 25, q-EEG positive in 16 patients and brain CT was positive in 3 cases. SPECT and q-EEG were more sensitive than CT, SPECT would be more useful method than brain CT to investigate cerebral function after head injury.

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The Study of Subjective Awareness Acceptance about the Successful Scene of and (<강남스타일>과 <젠틀맨>을 성공하게 한 장면에 대한 주관적 수용인식 유형 연구 Q-Sort 분석을 중심으로)

  • Huh, Sang Moo;Lee, Ok Ki;Kim, Woo Je
    • Korean journal of communication and information
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    • v.73
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    • pp.92-128
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    • 2015
  • We found that world wide popularity was attracted by Korea culture aspects of Psy's . The main factors that caused the syndrome, we noticed that the image of Korea. Expressly, we compared the Korea cultural scene that appeared in and . So, we analyzed successful Korea cultural factors of . For the analysis, we applied the Q methodology. As a result, in , we found 'Recreation Type', 'Advanced Development Type', 'Relieve fatigue type' and 'Adult Type'. Most of these factors have been recognized in Korea cultural factors. we found 'Communal Dancing Type', 'Cheeky Dance Type', 'Pleasant Packing Carriage Type', and 'afflicting type'. However, the Korean factor of were identified only 'Packing Carriage Culture'.

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R-Q Modeling for H.264/AVC Rate Control (H.264/AVC 비트율 제어를 위한 R-Q 모델링)

  • Park, Sang-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.9
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    • pp.1325-1332
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    • 2013
  • The first frame of a GOP, an I frame, is encoded in intra mode which generates a larger number of bits. In addition, the I frame is used for the inter mode encoding of the following frames. Thus the intial QP for the I frame affects the first frame as well as the following frames. In our previous work, we analyzed the number of bits for an I frame and showed that the ratio of the number of bits which maximizes the PSNR of a GOP maintains similar value regardless of GOP's. In this paper, we propose a R-Q model which can be used for the calculation of the initial QP given the amount of bits for an I frame. The proposed model is simple and adaptively modifies model parameters, so it can be applicable to the real-time application. It is shown by experimental results that the proposed model captures initial QP characteristics effectively and the proposed method for model parameters accurately estimates the real values.

Characterization of low frequency between Droughts and Meteorological factor in Korea (우리나라 가뭄특성과 기상인자간의 저빈도 특성 분석)

  • So, Byung-Jin;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.418-418
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    • 2012
  • 현재 전 세계적으로 온실가스 농도 증가로 호우나 가뭄, 대설 등 지역에 따라 서로 상반되는 변화를 가져올 수 있다고 경고되고 있으며, 우리나라에서도 남해안지역과 경기북부지역에서 호우빈도가 증가하는 반면, 충정도 내륙지역과 경상북도에서는 호우빈도가 감소하고 5일 누적 강수량 또한 감소하여, 해당지역에서 가뭄이 발생할 경우 심화될 가능성이 높아진다고 보고된 바 있다. 기후변화 시나리오에 분석결과에서도 우리나라의 경우 평균적으로 강우일수는 작아지며, 강우강도는 커지는 결과들이 도출되었다. 이러한 결과들은 가뭄의 발생가능성이 높아지고 있음을 보여주고 있다. 본 연구에서는 우리나라에서 발생된 가뭄의 특성을 분석하고 가뭄의 특성과 기상인자간의 관계를 Quantile regression 분석을 통해 살펴보고자 한다. 가뭄의 특성과 기상인자(엘니뇨, 강수량 등)의 관계에 있어서 기상인자들의 평균을 이용하는 일반적인 회귀분석은 전체 데이터의 영향에 따른 가뭄특성인자와의 관계를 보여준다. 하지만 강수량과 가뭄과의 관계에서와 같이 강수량의 극값보다는 적은 강수량 혹은 무강우일수가 가뭄과 밀접한 관련을 보여준다. 이러한 점에서 이상치들에 영향을 배재할 수 있는 Quantile regression을 사용하여 Quantile에 따른 기상인자와 가뭄특성과의 관계를 규명하고 평가해 보고자 한다. 본 연구에서 적용한 Quantile Regression 기법은 회귀계수의 추정에 있어서 회귀인자의 신뢰성을 아래와 같은 Quantile-회귀계수 그래프를 통해 분석할 수 있으며, 로버스트 통계량의 특징인 분산이 적은 안정적인 추정량을 확보할 수 있는 장점을 갖는다. 아래식은 Quantile regression의 회귀계수 추정식을 나타낸다. $$arg\;in\;{n\\\;p(y_i-f(x_i,\;z_i,\;{\cdots}))\\ =1}$$ 여기서, $y_i$는 가뭄특성값을 $x_i$, $z_i$, $\cdots$는 기상인자를 나타낸다. $$p(y-q)={{\beta}(y-q)\;y{\geq_-}q \\ (1-{\beta})(q-y)\;y<q}$$ ${\beta}$는 quantile을 나타내며 0< ${\beta}$ <1범위를 갖는다.

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Sanhujori Subjectivity in Husbands of Pregnant Women (산후조리에 대한 임부 남편의 주관성 연구)

  • Park, So-Yeon;Wee, Hwee
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.141-151
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    • 2019
  • Purpose: This study aimed to identify the type of Sanhujori subjectivity experienced by husbands of pregnant women, and analyzed the characteristics of each type. Method: Q-methodology was used and 207 statements were extracted. Finally, 37 Q-samples were derived and 40 P-samples used the 9-point scale to distribute statements. Data were collected from March-May 2018 and analyzed using PC-QUANL program. Results: The analysis of factor weights and variables showed that 48.0% of the total variance was explained by three types of subjectivity, namely, 'couple-centered pursuit of women's health', 'expecting emotional recovery and requiring social support', and 'each family makes their own family system' for which the explanatory powers were 38.1%, 5.8%, and 4.1%, respectively. Conclusion: This study is meaningful as it explores Sanhujori from the viewpoint of husbands; its findings can be used to both evaluate Sanhujori service in Korea and provide basic data to develop convergent services for Sanhujori.

Mask Cognition Types of Korean in the COVID19 Era using the Q Methodology

  • Cha, Su-Joung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.157-167
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    • 2022
  • This study attempted to investigate what kind of perception people in their 20s have about masks and to find out the characteristics of each type by categorizing the perception. The Q methodology was used for the study. The cognition types of masks were categorized into three. Type 1 was a 'always wear impact-important type' that always wears masks and thinks masks affect non-verbal communication and the wearer's image. Type 2 was a 'function-important negative recognition type' that wears masks to prevent germs and thinks that masks have a great negative impact. Type 3 was a 'concealment wear positive image type' that wears a mask to cover the face and thinks that a person looks young when wearing a mask. It is thought that the development of masks of various designs and functions reflecting the needs of consumers should be carried out. Also, it is thought that various products should be developed and sold so that consumers can choose according to important considerations such as design, fit, and function.

A Study on the Subjectivity of Pain Management of Nurse (간호사의 통증관리에 대한 주관성 연구)

  • Park, Kyung Sook;Song, Mi Seung;Kim, Kyung Hee
    • Korean Journal of Adult Nursing
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    • v.13 no.1
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    • pp.123-135
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    • 2001
  • The purpose of this study is to analyze the structural pattern of nurses' pain management with patients who experience pain. As a research method, the Q methodology, which is useful for an objective view of a highly abstract concept, was applied. The data collecting activity of this study was from August, 21st, 2000 to November, 24th 2000. The Q-population, the previous thesis and a literature review were done. Questions about pain management by the nurse on the patients, caregivers, nursing students, doctors, nurses, and others were asked in documentary work and in-depth interviews. In all, 223 units of the Q-population were formed, and the last 35 units of the Q-population were extracted. The data on the P-sample was collected from 41 nurses who worked in the medical and surgical units of a hospital that belonges to C university in Seoul. The research results were constituted in 3 types. Type I was the 'pattern of judging by objectivity'. The statement on which most of the people highly agreed for those patterns was shown by 'If patients said that they are suffering from pain, we sufficiently performed an assessment about the etiology, location, duration and degree'. For type I, the same pain was found in different locations according to the patients, so the etiology of the pain should be identified first place. Since ways of coping are different according to pain etiology, it was thought that it is important to assess sufficiently the pain etiology, location, duration, and degree. Therefore, when patients complain of pain, the pain etiology should be identified and assessed; according to the result, pain management should be performed systematically. Type II was the 'pattern of accepting by subjectivity'. The statement on which most of the people highly agreed for those patterns was shown as 'If patients said that they are suffering from pain, the medical treatment should be performed rapidly and speedily.' For type II, when the patient complains of pain, treatment should be performed quickly in order to prevent the condition getting worse, and it is thought that activity is a reasonable duty. Further, by trying to show empathy after pain is admitted and by understanding and coping rapidly with the pain of patients, an attitude which matched the altruistic morals of nurses is being shown. Type III was the 'pattern of worrying about', and the statement on which most of the people highly agreed for those patterns was shown is 'When there is a pain, to help patients to tolerate the pain to the highest degree.' In type III, the pain is a subjective expression, so there is a difference according to every individual. Therefore, actually if there is no measurement of pain, it could be exaggerated so nurses should help patients to tolerate it to the utmost. Even if there is a way to remove pain without an analgesic drug, nurses were reluctant to perform pain management as they possibly could. Through these research results, pain management of nurses was classified in 3 types, and structural characteristics in each type were discovered. Based upon the characteristics according to the type, an individualized pain management intervention strategy should be established and the follow up work performed.

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법제코너 / Q/A

  • Jo, So-Yeon
    • Digital Contents
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    • no.7 s.86
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    • pp.88-95
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    • 2000
  • 1999년 1월 19일 정보수집물 침해 방지법안(HR354)이 미 의회에 상정되어 입법 절차를 밟고 있다. 이 법안은 데이터베이스의 정보를 대량으로 무단 이용하는 행위를 방지하도록 하는 것을 주요 목적으로 하고 있고, 제 105회기에서 계류되었던 정보수집물 침해방지법안(HR2652)을 손질, 보강한 것이다.

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Optimum Evacuation Route Calculation Using AI Q-Learning (AI기법의 Q-Learning을 이용한 최적 퇴선 경로 산출 연구)

  • Kim, Won-Ouk;Kim, Dae-Hee;Youn, Dae-Gwun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.870-874
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    • 2018
  • In the worst maritime accidents, people should abandon ship, but ship structures are narrow and complex and operation takes place on rough seas, so escape is not easy. In particular, passengers on cruise ships are untrained and varied, making evacuation prospects worse. In such a case, the evacuation management of the crew plays a very important role. If a rescuer enters a ship at distress and conducts rescue activities, which zones represent the most effective entry should be examined. Generally, crew and rescuers take the shortest route, but if an accident occurs along the shortest route, it is necessary to select the second-best alternative. To solve this situation, this study aims to calculate evacuation routes using Q-Learning of Reinforcement Learning, which is a machine learning technique. Reinforcement learning is one of the most important functions of artificial intelligence and is currently used in many fields. Most evacuation analysis programs developed so far use the shortest path search method. For this reason, this study explored optimal paths using reinforcement learning. In the future, machine learning techniques will be applicable to various marine-related industries for such purposes as the selection of optimal routes for autonomous vessels and risk avoidance.