• 산학경영연구
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• 제23권1호
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• pp.45-68
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• 2010

현재 대학졸업자는 과잉공급 되고 있으나 산업계에서 필요로 하는 인력은 절대적으로 부족하며, 대학 졸업자에 대한 기업의 불만족과 재교육 비용의 부담증가는 전반적인 대학교육과 산업체 현장과의 괴리현상을 야기하고 있다. 특히 전문대학은 직무중심의 직업교육을 목적으로 사회각 분야에 관한 전문적인 이론과 지식을 교수, 연구하고 재능을 연마하며, 국가사회 발전에 필요한 전문 작업 인력을 양성할 목적으로 설립하였다. 그러나 오늘날의 전문대학은 이러한 설립목적에 크게 벗어나 있으며, 산업체의 니즈를 반영한 교육과정의 개발를 통하여 전문대학의 본래의 설립취지 및 설립목적에 맞는 교육기관으로의 변화를 사회가 요구되기에 이르렀다. 산업체 현장의 니즈를 반영한 교육과정개발이란 "산업체의 각 직무단위에서 직무분석을 통하여 요구하는 직무역량을 갖추기 위해 대학에서 교육 되어야 할 교과목 목록과 각 교과목들의 중요도 와 발생빈도 등을 분석하여 교육과정 개발에 반영하고, 이를 통하여 산업체에서 요구하는 직무 와 대학의 교육과정에서 오는 괴리현상을 제거하기 위한 연구"이다. 연구방법으로는 직무분석 중심의 교육과정 개발에 일반적으로 사용되는 DACUM 기법을 활용하였으며, 이를 통하여 교과목 스킬 대비표, 조사대상기업의 선정 직무모형의 설정, 직무명세서 및 작업명세서 등을 작성하여 직무를 분석하였으며, 이를 전문가 집단을 활용한 면접평가 방법과 WEB을 통한 설문지 조사방법으로 교육과정의 결과를 평가하여 산업체 현장의 니즈가 반영된 교육과정을 개발하였다.

• 융합정보논문지
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• 제12권4호
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• pp.260-269
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• 2022

본 논문에서는 기존에 전문가에 의해서 이루어지던 국가 대기오염 측정망 데이터들의 이상 탐지 작업을 인공지능을 통해 자동화하고자 심층 신경망을 이용한 이상 탐지 모델을 제안하였다. 환경과학원에서 제공받은 기상자료 데이터의 결측치 및 이상치를 분석하여 학습데이터를 생성하였으며 비지도 학습 방식의 BeatGAN 모델에 기반하여 커널 구조 변경과 합성곱 필터층 및 전치 합성곱 필터층의 추가를 통해 새로운 모델을 제안하여 이상 탐지 성능을 높이고자 하였다. 또한 제안하는 모델의 생성적 특징을 활용하여 새로운 데이터를 생성하고 이를 학습에 사용하는 재학습 알고리즘을 구현 및 적용하여 기존 BeatGAN 모델뿐 아니라 다른 비지도 학습 모델인 Iforest, One Class SVM과 비교하였을 때 제안모델의 성능이 가장 높았음을 확인할 수 있었다. 본 연구를 통해 실제 산업현장에서 센서의 이상, 점검 등의 여러 요인으로 인해 학습 데이터가 부족한 상황에서 추가적인 비용없이 과적합을 피하며 제안하는 모델의 이상탐지 성능을 올릴 수 있는 방법을 제시할 수 있었다.

• 수산해양교육연구
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• 제12권2호
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• pp.123-141
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• 2000

Facing to millenium, The new development of maritime and Fisheries education schemes will be cultivated in order to challenge global maritime nations as the new target of marine education which was established new index and problems of maritime education in place. First, The index of Marine and Fisheries education of 21st century was aimed at the spirits of expansion of territories of the era of ambassador of Jang Bo Go Sylla dynasty where marine trade had been prevailed between sylla and china leading to the spirits of marine pioneer in the northeastern Asian regions. and we must maintain the great desire and frontier spirities toward the marine industry also, adjust to the development and frontier spirits. Secondly, In order to cultivate the prominent man power for the marine industry, the government shall be specialized for the agency of marine education system, expand the educational installation, reforms the content of curriculum, to be adjust the global education system, also, enlarge the scholarship for the student, exemption tuition fees, installed the dormitory for the student, professors and teachers engaging in this parts have to lead the students with the pride and confidence and must provided the chance of job after he had completed for their on boarding life. Thirdly, for the secure responsible officer, the authorities has a schedules for enlarging the chance of studying and training also have to accumulate the practical experience and should enforce the retraining to the prof's and teachers also improve the leaders quality, on the other hand. The position of prof's and teachers will be elevated with the gaining of education philosophy and special treatment by the authorities. Fourth, to receive the positively marine industry educational system. First of all, have to provide the cooperation of industries and academy and they satisfy their job and change the their way of thinking and should notify the importance of government strategical industry by the mass-media system. Against the new marine era, we must participate the marine industry positively, have to elevate the culture of mankind and also, have provide the basement of prominent man-power for the marine industry in future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권5호
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• pp.859-876
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• 2010

In this paper, we propose a hierarchical application traffic classification system as an alternative means to overcome the limitations of the port number and payload based methodologies, which are traditionally considered traffic classification methods. The proposed system is a new classification model that hierarchically combines a binary classifier SVM and Support Vector Data Descriptions (SVDDs). The proposed system selects an optimal attribute subset from the bi-directional traffic flows generated by our traffic analysis system (KU-MON) that enables real-time collection and analysis of campus traffic. The system is composed of three layers: The first layer is a binary classifier SVM that performs rapid classification between P2P and non-P2P traffic. The second layer classifies P2P traffic into file-sharing, messenger and TV, based on three SVDDs. The third layer performs specialized classification of all individual application traffic types. Since the proposed system enables both coarse- and fine-grained classification, it can guarantee efficient resource management, such as a stable network environment, seamless bandwidth guarantee and appropriate QoS. Moreover, even when a new application emerges, it can be easily adapted for incremental updating and scaling. Only additional training for the new part of the application traffic is needed instead of retraining the entire system. The performance of the proposed system is validated via experiments which confirm that its recall and precision measures are satisfactory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• 비교문화연구
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• 제29권
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• pp.367-389
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• 2012

The aim of this paper is to briefly consider the present state regarding Korean language education for multicultural family members, and to consider the outcomes produced so far. Married woman immigrants and their children must be one of the most significant groups for Korean language education in terms of their huge number and their roles and meanings in Korean society. In order to uplift the Korean communicative ability for multicultural family members, an effective operating system for Korean language education is needed, and also live and efficient Korean language instruction must be given by capable Korean language teachers with adequate teaching materials. A customized Korean language education must also be offered based on researches about the characteristics of multicultural family members as "Korean language learners". Korean language education for married woman immigrants has almost been set up in some extent, in terms of teaching materials and the teacher training system. Therefore, an efficient operating system must be constructed so that the developed teaching materials can be actively utilized in the site of Korean language education. A periodical retraining of Korean language teachers for multicultural family members is also necessary for the improvement of Korean language teaching efficiency. However, Korean language education for multicultural children is still in its infancy due to its late start-up. By the support of the Korean government, the curriculum of Korean language education has recently been fixed, KSL text books are being developed, and a diagnostic tool for evaluating their Korean language ability is now in progress. Many continuing concerns and support must still be provided for the improvement of their Korean language ability and fostering them as competitive and capable of speaking Korean.

• 한국기록관리학회지
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• 제17권1호
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• pp.163-192
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• 2017

본 연구는 지방자치단체 기록연구사의 업무를 명확히 밝히고 IPA를 활용한 직무분석, 고용형태 경력별로 업무에 대해 인지하는 차이와 특성을 규명하여 업무 운영에 효과적인 기초자료를 제시하는 것이 목적이다. 이를 달성하기 위하여 지방자치단체 기록연구사의 업무를 분석하고 설문조사를 실시하였으며, 통계분석과 IPA Matrix 분석을 실시하였다. 분석의 결과를 토대로 도출한 문제점에 대한 개선방안으로 지방기록물 관리기관의 설치, 업무 수행을 위한 예산 확보, 처리과 직원에 대한 교육, 조직 내 타부서와의 협업 및 보조인력 활용, 고용형태별 경력별에 따른 직무 재교육을 달리할 것 등을 제안하였다.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.63-70
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• 2022

At the present stage, the main directions of the professional position of a specialist in the implementation of English-language Education are to improve and spread the practice of learning languages throughout a person's life by involving information, communication and digital technologies in the educational process. Computerization of the educational process in Higher Education Institutions is considered as one of the first and most promising areas for improving the quality of education in Higher Education Institutions. The necessity of ensuring timely training and retraining of specialists of various profiles (in particular teachers) on the effective use of domestic and foreign electronic resources with the help of modern information technologies for the implementation of the professional position of a future specialist in a foreign-language environment is noted. The main goal of teaching a foreign language (the formation of students' communicative competence, which means mastering the language as a means of intercultural communication) is defined. The types of speech activity that cover the content of teaching a foreign language are highlighted. The main types of assessment in a foreign language are shown - current (non-classroom), thematic, semester, annual assessment and final state certification. The task of the teacher is drawn, which is to create conditions for practical language acquisition for each student, to choose such teaching methods by means of information technologies that would allow each student to show their activity, their creativity; to activate the cognitive activity of the student in the process of learning a foreign language.

• 한국정보처리학회논문지
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• 제3권2호
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• pp.381-389
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• 1996

본 논문은 신경망에서 불필요한 연결자(weights and biases)를 제거하기 위한 일반적인 back-propagation 알고리즘의 간단한 변형을 소개한다. 이는 연결자들의 절대치 크기의 분포, 분할 경계선의 분석 및 sigmoid 함수의 비선형성에 기초하여 개발되었다. 신경망의 초기 학습 후, 이 알고리즘은 그 절대치의 크기가 임계치 (threshold) 보다 적은 모든 연결자들의 값을 영으로 할당 함으로서 이들을 제거하게 된다. 그런후, 중요한 연결자들의 복구를 위해 모든 연결자들을 포함하여 반복 학습을 실시한다. 이진함수 들을 이용한 학습에서, 이 알고리즘은 이론적 최소 구조를 실현하 였고, 함수를 푸는데 불필요한 연결자들을 제거하였다. 모의 랜덤 신호 분류에 응용에 있어서, 본 알고리즘으로 부터 얻어낸 결과는 쉬운 문제가 간단한 신경망을 필요로 하며 낮은 오분류율을 발생한다는 일반적인 개념과 일치 하였다. 또한, 본 제안된 알고리즘 은 overfitting과 형태소 (patterm) 암기의 문제점들을 줄임으로서 기존의 알고리즘보 다 더 좋은 결과를 보여주었다.

• 혜화의학회지
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• 제28권1호
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• pp.1-12
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• 2019

Objectives : The aim of this study is to review clinical studies of facial palsy sequelae treatment Methods : We used search engines such as PUBMED, OASIS, RISS. We limited sequelae as the cases after three months from the onset. We excluded the studies including operational treatments. We considered papers pubulished only after year 2000. Results : The kinds of treatments were acupunture treatment, physical therapy, Botulinum toxin, and steroids and antiviral agent. Four studies about acupuncture treatment were searched. Two were case studies and the other two were case series studies. Six studies about physical therapy were searched and they were devided into three according to their specific methods - neuromuscular training and biofeedback, electrical stimulation, and facial exercises. We reviewed three studies about Botulinum toxin and 3 studies about combined therapy. Conclusions : Evidence level of the acupuncture studies was not high. Neuromuscular retraining and biofeedback therapies were shown to be effective especially to synkinesis. Mime therapy, one of the facial exercise has significant effect. Electrical stimulation is thought to activate the plasticity of central nerve system. Botulimum Toxin has effective temporary treatment. Steroid therapy increases recovery rate and reduces sequelae.