• 대한영양사협회학술지
• /
• 제3권2호
• /
• pp.141-158
• /
• 1997

The purpose of this study were to investigate the job analysis questionnaire was mailed to 250 dietitians who are members of The Korean dietetic association practice group in self-operated foodservices(hereafter group A)and 250 dietitians who are employed in contracted foodservice companies(hereafter group B). Completed questionnaires were received from 285 dietitians(121 in self-operated, 164 in contracted) ; a response rate of 57%. Statistical data analysis was completed using the SAS/win packages for descriptive analysis, t-test, $x^2$-test, The results of this study can be summarized as follows. 1. The dietetic training or internship experiences were significantly different between the two sample group(p<.001), but the perceptions of needs for training or internship were not different between and they thought one to six month training would be needed for the job. 2. The question about the time needed in order to perform an expert job was answered significantly differently(p<.001) 3. Group A usually took part in obligatory continuing education and short-term training courses, and group B usually took part in obligatory continuing education and on-the-job trainings, respectively. However both group perceived all three types of educations would be needed for performing the job better. 4. As for the physical demands of the job, a certain degree of accuracy and dexterity for physical tasks and equipment operations was needed for the job. Concerning the mental demands, they answered that their job needs considerable creativity and judgement for planning and performing their tasks was needed. 5. As for responsibilities, group B's responsibilities were heavier than group A’s(p<.001) and need for confidentiality was also greater for group B than for group A(p<.001). 6. As for the supervising role differences, group A rarely received supervision from others and they were given directions only in essential situations, whereas group B was usually supervised when planning and performing their job and tasks, showing significant difference in positions between the two sample groups(p<.001). But each group supervised co-workers and employees in their department. 7. With regard to personal contact, both groups frequently contacted people in their department and other departments at the company and sometimes people outside the company. 8. Concerning the work environment, there were some risks and discomforts in the physical environment and there was no significant difference between the two sample groups.

• 비교교육연구
• /
• 제24권3호
• /
• pp.1-23
• /
• 2014

본 연구는 고교 다양화 및 특성화고 육성 정책으로 인해 상대적으로 불이익을 받고 있는 일반고의 교육역량 강화 필요성을 인식하고, 현재 일반고가 안고 있는 문제점 등을 진단하여 장 단기적인 관점에서 경상북도의 일반고 육성방안을 다각적으로 마련 제시하는 데 그 목적이 있다. 이를 위해 먼저, 박근혜정부의 교육정책기조와 경상북도 교육정책 방향, 경북지역 일반고 교육현황, 일반고 교육역량 강화방안의 주요 내용 등을 살펴보았다. 교육부의 일반고 교육역량 강화방안에 기초하여 제시된 경상북도 일반고 교육역량 제고의 주요 추진과제로는 (1) 진로별 맞춤형 교육과정 편성 운영의 자율성 확대, (2) 일반고 학생을 위한 진로직업 교육 확대, (3) 위기학생 지원 프로그램 강화, (4) 일반고 High-up 프로그램 지원 강화 등을 들 수 있다. 이와 같은 일반고 교육역량 강화를 위한 주요 추진과제들이 학교현장에서 성공적으로 정착 운영되기 위해서는 개별 일반고의 지역적 환경과 특성을 고려한 학교단위 책임경영제의 정착, 학교경영에 있어 총체적 질 관리 적용, 그리고 협동적 학교조직문화 형성이 구축되어야 할 것이다. 그리고 글로벌 민주시민 양성, 2009 개정 교육과정에서 추구하는 인간상, 그리고 경상북도교육청에서 제시하고 있는 '새로운 생각과 참된 마음을 지닌 인재'를 육성하기 위한, 즉 경상북도 일반고 교육역량 제고를 위한 구체적인 실천과제와 전략들도 제시하였다.

• 디지털콘텐츠학회 논문지
• /
• 제19권6호
• /
• pp.1161-1167
• /
• 2018

기계 학습의 발전은 인간만이 할 수 있었던 섬세한 작업들을 기계가 할 수 있도록 이끌었고, 이에 따라 많은 기업체들은 기계 학습 기반의 번역기를 출시하였다. 현재 상용화된 번역기들은 우수한 성능을 보이지만 숫자 번역에서 문제가 발생하는 것을 발견했다. 번역기들은번역할문장에 큰숫자가 있을경우종종숫자를잘못번역하며, 같은문장에서숫자만바꿔번역할 때문장의구조를 완전히바꾸어 번역하기도 한다. 이러한 문제점은오번역의 가능성을 높이기 때문에해결해야 될 사안으로여겨진다. 본 논문에서는 Bidirectional RNN (Recurrent Neural Network), LSTM (Long Short Term Memory networks), Attention mechanism을 적용한 Neural Machine Translation 모델을 사용하여 데이터 클렌징, 사전 크기 변경을 통한 모델 최적화를 진행 하였고, 최적화된 모델에 숫자 기호화 알고리즘을 적용하여 상기 문제점을 해결하는 번역 시스템을 구현하였다. 본논문은 데이터 클렌징 방법과 사전 크기 변경, 그리고 숫자 기호화 알고리즘에 대해 서술하였으며, BLEU score (Bilingual Evaluation Understudy score) 를 이용하여 각 모델의 성능을 비교하였다.

• 한국비블리아학회지
• /
• 제22권2호
• /
• pp.27-39
• /
• 2011

본 연구는 지난 5년간의 정보소외계층을 위한 도서관의 문화복지 정책을 분석하고 개선점을 제시하였다. 이를 위해 문화체육관광부 도서관정보정책기획단 조직의 업무와 도서관현장을 위한 정책을 조사하고 분석하였다. 첫째, 소외계층을 위한 도서관 서비스는 단기적인 사업성 위주의 프로젝트로 진행되고 있다. 둘째, 작은도서관, 장애인정보누리터, 다문화도서관 등의 시설 건립 중심과 비전문적인 순회사서로 유지되는 운영정책을 수립하고 있다. 셋째, 정보소외계층 정책의 분산화와 민간 장애인도서관의 공공의 지원정책 미비로 인하여 협력체계 구축이 어려운 실정이다. 넷째, 대체자료 양적 확산 위주의 장애인서비스 정책이 이루어져 있음을 밝혀내었다. 이에 본 연구는 정보소외계층을 위한 도서관서비스는 보다 전문적인 정책이 개입되어 각 영역별 통합조정과 전문성 개발정책이 필요함을 제시하였고 이를 위해서는 문화체육관광부 도서관정보정책위원회에 별도의 문화복지 도서관정책부서 신설과 그 활동을 제언하였다.

• Design & Manufacturing
• /
• 제11권1호
• /
• pp.45-49
• /
• 2017

Currently, a lot of efforts to make increases the manufacturing efficiency have tried and there is growing the interest to implementing the machining operation through CAM automation and optimization. This kind of movement has shown gradually in 5X milling as well as 3X milling task. By the way, in case of 5X milling, it is difficult to hire the CAM experts who is an experience for 5X machining and also it has too big trouble to use them due to high cost. For this reason, you can see the manufacturer who is concern the CAM S/W to provide the NC automation program that beginners can generate easily the 5X milling in short term and the existing 5X milling process can be improved. These requirements need to make a NC automation process including the practical machining strategies same as the generation by NC expert. In order to support this, it is necessary to directly apply the 3D machining part based on NC template which includes the machining procedures, standard cutter library, auto machine area selection, analyze tool for part shape, machining condition setting considering the material stiffness to be provided by CimatronE and it should be created the 5axis machining data by a minimized operation. With user-friendly, CimatronE's NC machining automation tools improve the 5-axis machining process and speed up the process, maximizing work efficiency and improving product productivity compared to existing machining tasks.

• The Journal of Korean Physical Therapy
• /
• 제26권4호
• /
• pp.234-239
• /
• 2014

Purpose: The purpose of this study is to use P300 latency to determine whether methods of motor learning in terms of massed and distributed practice can affect motor sequential learning in healthy adults. Methods: Twenty-four healthy subjects participated in this study. They were randomly allocated into three groups: a 10 minute, a 12 hour, and a 24 hour group. In the SRT task, eight numbers were adopted as auditory stimuli. During an experiment, participants were instructed to press the matching key as quickly and accurately as possible when one of the eight numbers was presented randomly. The subjects practiced for three sessions, each of which comprised five blocks of 40 serial reaction time tasks. While they practiced during these three sessions, P300 latency was measured. The data were analyzed using ANCOVA. Results: The P300 latency of Fz, Cz, and Pz decreased in all groups except for the Fz area of the 10 min group. Overall, the P300 latency of the 10 min group showed a smaller decrease compared with the 12 hr and 24 hr groups. Statistically, no significant differences in the Fz and Cz areas were observed among the three groups. The P300 latency in the Pz area of the 10 min group showed a significantly smaller decrease compared with the other groups. Conclusion: These findings suggest that short-term sequential motor training can alter brain functions such as the P300 latency. We also found that better acquisition of a motor skill was obtained with distributed practice of a task than with massed practice.

• 생물정신의학
• /
• 제17권2호
• /
• pp.70-78
• /
• 2010

Objectives : This study investigated the differences of working memory among the subtypes of ADHD. Methods : Eighty-one children and adolescents with ADHD and thirty normal controls were recruited. Children with any cognitive disorders and low intelligence were excluded. In order to evaluate the verbal and visuospatial working memory, Digit span and Finger windows tasks were measured, respectively. Performances on these measures between children with ADHD and controls were compared. Further, performances among the groups of ADHD predominantly inattentive(ADHD-IA)(n=40), predominantly hyperactive-impulsive(ADHD-HI)(n= 10), and combined type(ADHD-C)(n=31), were compared. Results : Scores of Finger windows forward task were lower in the ADHD group as compared to the control group, whereas, the Digit span forward showed no difference. Both scores of Digit span backward and Finger windows backward task were lower in the ADHD group than the controls. Children with ADHD-IA performed poorer than children with ADHD-C on the Finger windows backward task. Conclusion : The results of this study showed that children with ADHD have deficits in spatial short-term memory and verbal and visuospatial working memory when compared to normal children. The deficits were evident in children with ADHD-IA subtype and in particular, performance on the visuospatial working memory task in this group was poorer than the ADHD-C group.

• 한국농촌간호학회지
• /
• 제3권1호
• /
• pp.34-43
• /
• 2008

Purpose: The purpose of this study was to suggest new direction for domiciliary care for elders provided by public institutions in rural areas. Method: The participants in the study were elders using one of 11 public health care institutions, of which 8 operated day care services exclusively, and 3 operated both day care and short-term respite care services. A survey was conducted using a structured questionnaire that included items on general characteristics of the service users, conditions of the services, personnel, financial status, facilities, and perception of the tasks of the staff. Result: The service content of the day care centers included Western and Chinese medical service, physical services, activities of ADL, nursing care services, meal services and transportation services. Domiciliary care centers provided a wide variety of health and social welfare service for elders. Personnel consisted of 3 to 8 staff for day care centers and 7 to 10 for domiciliary care centers. Both types of centers rely on financial support from local government for operation. The perception of the staff was the need for operation of these centers by public health facilities such as public health centers and sub-centers. Conclusion: The result suggest a need to activate the function of public institutions to provide domiciliary care for elders. For this new change, the role as a social support system must be developed.

• 스마트미디어저널
• /
• 제6권3호
• /
• pp.41-48
• /
• 2017

Event detection using social media has been widespread since social network services have been an active communication channel for connecting with others, diffusing news message. Especially, the real-time characteristic of social media has created the opportunity for supporting for real-time applications/systems. Social network such as Twitter is the potential data source to explore useful information by mining messages posted by the user community. This paper proposed a novel system for temporal event detection by analyzing social data. As a result, this information can be used by first responders, decision makers, or news agents to gain insight of the situation. The proposed approach takes advantages of deep learning methods that play core techniques on the main tasks including informative data identifying from a noisy environment and temporal event detection. The former is the responsibility of Convolutional Neural Network model trained from labeled Twitter data. The latter is for event detection supported by Recurrent Neural Network module. We demonstrated our approach and experimental results on the case study of earthquake situations. Our system is more adaptive than other systems used traditional methods since deep learning enables to extract the features of data without spending lots of time constructing feature by hand. This benefit makes our approach adaptive to extend to a new context of practice. Moreover, the proposed system promised to respond to acceptable delay within several minutes that will helpful mean for supporting news channel agents or belief plan in case of disaster events.

• 산업경영시스템학회지
• /
• 제44권2호
• /
• pp.115-123
• /
• 2021

A lot of sensor and control signals is generated by an industrial controller and related internet-of-things in discrete manufacturing system. The acquired signals are such records indicating whether several process operations have been correctly conducted or not in the system, therefore they are usually composed of binary numbers. For example, once a certain sensor turns on, the corresponding value is changed from 0 to 1, and it means the process is finished the previous operation and ready to conduct next operation. If an actuator starts to move, the corresponding value is changed from 0 to 1 and it indicates the corresponding operation is been conducting. Because traditional fault detection approaches are generally conducted with analog sensor signals and the signals show stationary during normal operation states, it is not simple to identify whether the manufacturing process works properly via conventional fault detection methods. However, digital control signals collected from a programmable logic controller continuously vary during normal process operation in order to show inherent sequence information which indicates the conducting operation tasks. Therefore, in this research, it is proposed to a recurrent neural network-based fault detection approach for considering sequential patterns in normal states of the manufacturing process. Using the constructed long short-term memory based fault detection, it is possible to predict the next control signals and detect faulty states by compared the predicted and real control signals in real-time. We validated and verified the proposed fault detection methods using digital control signals which are collected from a laser marking process, and the method provide good detection performance only using binary values.