[동향] 직업능력개발

Ⅰ. 직업능력개발 정책 □ 고용노동부, 지역산업 맞춤형으로 일학습병행제가 확대 - 「지역산업특화형 도제특구」선정·발표(2015.6.16.) □ 고용노동부, 「직업능력개발훈련시설·장비자금 대부사업」지원 신청서 접수(2015.5.14.) □ 고용노동부, 국가기술자격의 New 패러다임 '15년도 과정평가형 국가기술자격 교육·훈련 과정 확정(2015.3.9.) □ 경제사회발전노사정위원회, 「평생직업능력개발 활성화를 위한 노사정 합의」도출(2015.1.20.) Ⅱ. 직업능력개발 통계 ◈ 청년층(15~29세)의 직업교육(훈련) 실태: 경제활동인구조사 청년층 부가조사(2015.5) 결과 □ 청년층 인구 중 직업교육(훈련) 경험자 비율은 16.4%로 전년 동월 대비 0.3%p 증가함. □ 청년층의 주요 직업교육(훈련) 기관을 살펴보면, 직업교육(훈련) 경험이 있는 청년층의 57.6%가 사설 학원에서 직업교육(훈련)을 받은 것으로 나타남

3D Convolutional Neural Networks for Brain Tumor Segmentation

학위논문 (석사)-- 서울대학교 대학원 : 컴퓨터공학부, 2016. 2. 유석인.Brain Tumor segmentation aims to separating the different tumor tissues (solid or active tumor, edema, and necrosis) from normal brain tissue: gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). In brain tumor studies, the existence of abnormal tissues may be easily detectable most of the time. However, accurate and reproducible segmentation and characterization of abnormalities are not straightforward. Even for experienced doctors, precise detection of tumor in MR image makes a long business. In recently years, Convolutional Neural Networks (CNNs) often obtain incredible results in problems to extract information from complex and high-dimensional inputs, for which useful features are not obvious to be identified from the structured design. In this thesis, we propose a new model for brain tumor segmentation in Magnetic Resonance Imaging (MRI) by adapting multiple dimension feature combination. First, we preprocessed original MRI meta-image in several way because MRI meta-image has much information not only brain tissue and tumor but also unnecessary noise, skull, biased intensity. Second, we built two dimensional multi-channel non-pooling convolutional neural networks. It is not common model because almost convolutional neural networks models have focused on natural image classification. But in medical image processing, low level accurate segmentation is important than high level abstract. Finally, we built a three-dimensional convolutional neural networks by combination of 2 dimensional model data and compare its result with 2 dimensional CNNs result. The method was evaluated on BRATS 2013 (Brain Tumor Segmentation 2013) data set. This data set provided via the Virtual Skeleton Database (VSD). Experiment results on respective datasets show the proposed algorithm works successfully and combination of coordinate plane information improve performance in three-dimensional segmentation problemChapter 1 Introduction 1 Chapter 2 Previous work 6 2.1 Preprocess 7 2.1.1 Image de-noising 7 2.1.2 Skull-stripping 7 2.1.3 Intensity normalization 8 2.2 Segmentation 9 2.2.1 Threshold-based methods 9 2.2.2 Region-based methods 10 2.2.3 Pixel classication methods 10 2.2.4 Model based methods 11 Chapter 3 Proposed approach 12 3.1 Preprocessing 12 3.1.1 Bias correction 12 3.1.2 Normalization 13 3.2 3D Multipolar CNN 13 Chapter 4 Experiment 17 4.1 Environment 17 4.2 Result Evaluation 18 4.3 Runtime Evaluation 20 Chapter 5 Conculsion 22 5.1 Summary of the Work 22 5.2 Future Work 22 Bibliography 24 요약 29Maste

군 생활, 무엇에 도움이 될까?

전체 응답자의 55.8%가 군 복무 경험이 앞으로 할 일에 도움이 될 것이라고 응답함. 군 복무 경험이 앞으로 할 일에 도움이 됐다고 생각하는 비율은 학력이 높을수록(고등학교 54.6%, 4년제 대학 56.2%), 전투병과(56.8%)보다는 비전투병과 출신이(58.4%), 사병(57.2%)보다는 부사관 또는 장교(76.8%) 출신이 높게 나타남. 세부 분야별 군 복무 경험의 도움 정도는 인내심이 4.18점(5점 만점)으로 가장 높고, 능력 개발 분야는 2.92점으로 가장 낮음. 개인의 성격 특성 중 외향성, 친화성, 성실성이 높을수록 군 복무 경험이 도움이 되었다고 응답함55.8% of all respondents said the military experience will help them in their future careers. The percentage of people who believe military service will help them in their future careers increased as their level of education increased (high school 54.6%, 4-year college 56.2%). The figure was also higher for non-combat arms (58.4%) than for combat arms (56.8%) and higher for non-commissioned officers or officers (76.8%) than for the ranks (57.2%). Looking at the helpfulness of each facet of military experience, patience had the highest score of 4.18 points (out of 5 points), while ability development had the lowest score of 2.92 points. People with a high level of extroversion, affinity, and sincerity among their personality traits were more likely to say that military experience was helpful

유휴청년층의 성향과 일상생활

유휴청년은 또래의 다른 청년보다 외향성, 친화성, 성실성, 개방성이 좀 더 낮아 사회적 관계를 형성？유지할 때 필요한 성향이 다소 부족함. 유휴청년(비유휴청년)의 TV 시청시간은 1일 2.20시간(1.59시간), 수면시간은 7.48시간(6.69시간)으로 상대적으로 길게 나타난 반면, 독서량은 연간 3.88권(6.99권), 주당 운동시간은 2.05시간(2.84시간)으로 자기계발에 투자하는 시간은 적음. 유휴청년(비유휴청년)의 동아리 활동 비중은 3.1%(12.5%), 자원봉사 활동 1.0%(9.1%), 19대 총선 투표율 34.0%(54.2%), SNS 사용 비율 38.1%(60.0%)로 유휴청년의 사회참여도가 더 낮음. 행복하다고 느끼는 유휴청년은 73.2%, 비유휴청년은 82.8%이며, 행복한 정도는 유휴청년 6.3점(10점 만점), 비유휴청년 6.8점으로 유휴청년의 행복도가 더 낮음.Because young people not in education or employment (NEET) have relatively low levels of extroversion, friendliness, sincerity, and openness compared to other young people of a similar age, they somewhat lack the propensities required to form and maintain a social relationship. It is found that the average TV viewing time of NEET is 2.20 hours ((non-NEET young people, 1.59 hours) per day and the average time spent asleep is 7.48 hours (as compared to 6.69 hours for non-NEET), both of which are relatively long compared to their counterpart. The results also show an average number of books read per year of 3.88 (as compared to 6.99 books) and an average weekly exercise time of 2.05 hours (as compared to 2.84 hours), which indicates that only a small amount of time is spent on self-improvement. The percentage of NEET (non-NEET young people) who participate in club activities is 3.1% (12.5%); the percentage for volunteer activities is 1.0% (9.1%); the turnout in the 19th general election was 34.0% (54.2%); and the percentage for SNS use is 38.1% (60.0%). The figures indicate that NEET participation in society is lower. The percentage of NEET who feel happy is 73.2% compared to 82.8% of non-NEET young people. Also, NEET scored 6.3 (on a 10-point scale) and non-NEET young people scored 6.8 when assessing happiness levels, which shows that NEET has lower levels of happiness

[패널브리프] 대학생의 교육투자에 따른 희망임금과 취업 선호도

Ⅰ. 들어가며 Ⅱ. 분석 자료 및 대상 Ⅲ. 대학생의 교육 투자(시간과 비용) Ⅳ. 대학생의 희망임금과 취업 선호도 Ⅴ. 교육투자에 따른 희망임금 및 취업 선호도 Ⅵ. 요약 및 결

Blind Reconstruction of BCH Codes Based on Consecutive Roots of Generator Polynomials

In this letter, a blind reconstruction method of Bose-Chaudhuri-Hocquenghem (BCH) codes is proposed, which uses the property that all the codeword polynomials of a t-error correcting BCH code have the same 2t consecutive roots over Galois field. The proposed method inherently eliminates most of the erroneous codewords from the received codewords by utilizing the information about the starting position and length of consecutive roots of each received codeword. Therefore, the blind reconstruction performance is substantially improved and the simulation results confirm that the proposed method outperforms other blind reconstruction methods.This work was supported by the research fund of Signal Intelligence Research Center supervised by Defense Acquisition Program Administration and Agency for Defense Development of Korea. The associate editor coordinating the review of this letter and approving it for publication was C. Feng

1차원 코헨-멕컬리 국소환의 헐버트 함수에 관하여

Thesis (master`s)--서울대학교 대학원 :수학과,1999.Maste

Political doctrines of ancient Chinese thinkers

학위논문(박사)--서울대학교 대학원 :정치학과,1998.Docto

행정수도이전정책 변동과정에 관한 연구

학위논문 (석사)-- 서울대학교 대학원 : 정책학과, 2012. 2. 권혁주.본 연구는 정책변동(policy change)사례 연구이다. 정책변동은 정책형성(의제설정과 의사결정)을 포함한다는 시각에서 논의를 진행하였다. 정책변동의 성공과 실패의 원인을 찾기 위해 신행정수도이전정책의 두 차례 정책변동과정을 분석하였다. 의제설정과정은 Kingdon의 정책흐름모형(policy stream model)을 적용하였고, 의사결정과정은 입법과정을 고려한 거부점(veto point)과 거부권행사자(veto player) 개념을 적용하여 분석하였다. 행정수도이전정책은 1971년에 최초로 제기되었으나 구체화의 기회를 잡지 못하였다. 시간이 흘러 행정수도이전정책은 노무현 정부의 등장과 함께 정책의제가 되고 결정되어 추진되었다. 그런데「신행정수도의건설을위한특별조치법」이 헌법재판소로부터 위헌판결을 받게 되어, 행정중심복합도시건설정책이 후속정책으로 채택되어 집행되었다. 한편, 이명박 정부는 교육과학경제도시건설정책으로 정책변동을 추진하지만 실패하게 되었다. 본 연구는 신행정수도이전정책이 좌초된 이후 노무현 정부가 실시한 행정중심복합도시건설정책으로의 제1차 정책변동과정과 그 성공을 다루었다. 그리고 이명박 정부의 교육과학경제도시건설정책으로의 제2차 정책변동과정과 그 실패에 대하여 분석하였다. 이론적 분석틀은 다음과 같이 구성하였다. 먼저 정책변동을 위한 의제설정과정은 Kingdon의 정책흐름모형에 따라 분석하였다. 정책의 3가지 흐름(정치의 흐름, 정책대안의 흐름, 정책문제의 흐름)을 정리한 후, 각 흐름들이 어떻게 결합되어 정책의 창을 열게 되고, 정책의 창 내에서 자신의 의사를 관철시키고자 하는 참여자의 활동을 해당 정책의 찬성과 반대집단으로 구분하여 살펴보았다. 다음으로 정책변동을 위한 의사결정과정은 국회에서의 입법과정을 중심으로 제도적 맥락에 따라 거부점과 거부권행사자를 구별하여 살펴보았으며, 사후적 거부점으로서 헌법재판소를 포함하였다.This is a case study on the policy change. This study have a perspective on policy change that includes policy formation (agenda setting and decision making). In order to find the cause of success and failure of policy change, this research analyzed two cases of the policy change of The New Administrative Capital Relocation Policy. Agenda-setting processes were analyzed on the basis of Kingdon policy stream model, and decision-making processes were analyzed by applying the concept of the veto point considering the legislative process and veto players. The Administrative Capital Relocation Policy was first raised in 1971, but the policy did not take a chance to be materialized. Over time, the policy was determined by the policy agenda and driven with the advent of the Rho Moo-Hyun Administration. However, The Constitutional Court ruled that The New Administrative Capital Relocation Law is unconstitutional, so Multi-functional Administrative City Construction Policy was adopted as a subsequent policy and implemented. On the other hand, Lee Myoung-Bak Administration was attempts to policy change from the Multi-functional Administrative City Construction Policy to the Education and Science Centered, Economic City Construction Policy but Lee administration was failed to change the Multi-functional Administrative City Construction Policy. This study analyzed the first policy change process to the Multi-functional Administrative City Construction Policy and the success since the failure of the New Administrative Capital Relocation Policy. And then, this study analyzed the second policy change process of the Education and Science Centered, Economic City Construction Policy and the failure.Maste