• Journal of Fisheries and Marine Sciences Education
• /
• v.15 no.2
• /
• pp.154-165
• /
• 2003

Fisheries and shipping industry as national basic industry need continuous growth and basic human resource development for international competition. This study was carried out through investigating of the related literature and reports. The purpose of study for developing direction and subject matter of curriculum in the fisheries marine science high school was as follows. Recently, reforms of vocational high school will expand professionalization and specialization. Therefore systematic curriculum of basic knowledge, basic skill and technical is required more and more in field work of fishery and merchant marine. The other important factors of curriculum improvement were cooperative role between school and local industry, adaptation of basic ability, job analysis, various curriculum opening. Above all, teachers of fisheries and merchant marine high school require advanced consciousness and must participate in revising curriculum. And the textbook of fisheries and merchant marine high school is useful to improve the level of learning ability degree and must be written by the related teacher, and the textbook contents must be studied by the expert group under professors leading to advanced discipline and skill of field work.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.9
• /
• pp.649-657
• /
• 2020

This study aims to describe the perceptions of accounting students and expectations of employers towards the skills and knowledge needed by accounting graduates in Indonesia. Quantitative method using survey is employed to analyze 103 questionnaires from students and 51 questionnaires from employers. The results showed that students' perceived honesty, continuous learning, and work ethics are important skills, while employers stress the importance of work ethics, teamwork, and time management. Knowledge needed by accounting graduates in the perception of students includes financial accounting, financial reporting, and financial statement analysis, whereas employers perceived the importance of financial statement analysis, knowledge of Microsoft Office program, and financial accounting. Further analysis showed that there is an expectation gap between the perceptions of students and the expectations of employers towards skills - not knowledge - needed by accounting graduates. Although investigations of students' perceptions and employers' expectations have been conducted in previous studies, the information should be updated continuously to reflect the current conditions. This study offers the recent perceptions from students and employers to identify the current expectation gap. This study points to the importance of skills development in the university curriculum in order to develop the skillful human resources in accounting and meet the expectations of employers.

• Journal of Korean Academy of Nursing Administration
• /
• v.11 no.4
• /
• pp.385-399
• /
• 2005

Objective: The objective was to extract a preliminary performance measurement indicators of nursing organizations in hospitals using the BSC(Balanced Score Card) developed by Kaplan and Norton, and to analyze the content validity and evaluation methods of the performance measurement indicators with actual nurses in the nursing organization as participants in the study. Methods: The preliminary performance measurement indicators was created through a literature review and had the content validity by a professional. This survey was sent via post to 316 nurse managers and nurses with more than 5 years of experience in seven secondary and tertiary hospitals in the Seoul Gyonggi district. The completed questionnaires were returned by mail. Results: Fourteen indicators for finances, 16 for customer services, 27 for internal business processes, and 13 for learning and growth were selected. Conclusion: Amidst a rapidly changing medical environment, a first step was taken towards developing a performance measurement from various perspectives for nursing organizations in hospitals from various perspectives, rather than just one or a past-oriented perspective. However, as the most important thing is to actually use these indicators, continuous interest in publicity and education must be developed.

• Journal of Korea Multimedia Society
• /
• v.20 no.11
• /
• pp.1811-1819
• /
• 2017

As the induction motor is the core production equipment of the industry, it is necessary to construct a fault prediction and diagnosis system through continuous monitoring. Many researches have been conducted on motor fault diagnosis algorithm based on signal processing techniques using Fourier transform, neural networks, and fuzzy inference techniques. In this paper, we propose a fault diagnosis method of induction motor using LPC and DNN. To evaluate the performance of the proposed method, the fault diagnosis was carried out using the vibration data of the induction motor in steady state and simulated various fault conditions. Experimental results show that the learning time of our proposed method and the conventional spectrum+DNN method is 139 seconds and 974 seconds each executed on the experimental PC, and our method reduces execution time by 1/8 compared with conventional method. And the success rate of the proposed method is 98.08%, which is similar to 99.54% of the conventional method.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.2
• /
• pp.361-371
• /
• 2017

The increase in user data stored in the device implies the increase in threats of users' sensitive data. Currently, smartphone authentication mechanisms such as Pattern Lock, fingerprint recognition are widely used. Although, there exist disadvantages of inconvenience use and dependence that users need to depend on their own memory. User behavior based authentication mechanism have advantages of high convenience by offering continuous authentication when using the mobile device. However, these mechanisms show limitations on low accuracy of authentication and there are researches to improve the accuracy. This paper proposes improved authentication mechanism that uses user's smartphone application usage pattern which has not considered on earlier studies. Also, we analyze performance of proposed mechanism with collected datasets from actual use of smartphone applications.

• Proceedings of the Korean Information Science Society Conference
• /
• 2008.06c
• /
• pp.26-30
• /
• 2008

Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in long duration load profiles. The proposed our approach consists of three stages: (i) data pre-processing: noise or outlier is removed and the continuous attribute-valued features are transformed to discrete values, (ii) cluster analysis: k-means clustering is used to create load pattern classes and the representative load profiles for each class and (iii) classification: we evaluated several supervised learning methods in order to select a suitable prediction method. According to the proposed methodology, power load measured from AMR (automatic meter reading) system, as well as customer indexes, were used as inputs for clustering. The output of clustering was the classification of representative load profiles (or classes). In order to evaluate the result of forecasting load patterns, the several classification methods were applied on a set of high voltage customers of the Korea power system and derived class labels from clustering and other features are used as input to produce classifiers. Lastly, the result of our experiments was presented.

• Korean Journal of Applied Biomechanics
• /
• v.24 no.3
• /
• pp.209-216
• /
• 2014

The purpose of this study was to explore the effect of 8 weeks after school classes of track sports on students' start motion through kinematic variables. 30 students in D National university of education participated for this study. These students divided into two groups, 17 students for experimental group and 13 students for control group. The two groups participated in general athletic class as common class, and the experimental group participated in after school class additionally. The general class taught track and jump skill for 3 hours a week, and the after school class taught only athletic running skill for 30 minutes a week. Pre and post test assessed to assess students' kinematic changes. Findings indicated that velocity and step rate were increased, and contact time, step length, displacement of center of mass were decreased in the experimental group. In the control group, early velocity, knee/hip angle velocity were increased, and contact time, step length, displacement of center of mass were decreased. In conclusion, the students who only participated in general class, could not maintain athletic skills obtained from the class. However, students who participated in both general and after school class accomplish athletic start skill. This is because Continuous learning effect helped students keep the skill and did not lose the skill. Thus, in order for students to learn specific sport skills, joining after school class with general class together is recommended.

• Journal of Technology Innovation
• /
• v.6 no.2
• /
• pp.159-177
• /
• 1998

Although each company is trying to develop an economic analysis model with its own particular style or format, the appropriate method is not yet developed because there are many problems to be solved such as uncertainity of outcomes and intangible benefits of technology. The purpose of tris paper therefore is to suggest an economic analysis methodology, which reflects the complexity and the risk of R&D investment, through a case study on the development of a superconductor fault current limiter. A self-developed Monte Carlo simulation program utilized as a main tool in this paper was very useful for risk analysis of R&D investment which could not be solved in the previous DCF(Discounted Cash Flow) model. We also introduce learning effect to consider the intangible benefits such as Know-How obtained from R&D execution. The expected value and its probability distribution for R&D investment can be obtained by combining the Monte Carlo method with the decision tree approach. This result is helpful in judging the priority and the resource-allocation of R&D projects. It is however necessary to develop more precise model for quantifying the technology stock and the simulation program using the continuous probability distribution in expected values to improve the reliability of economic analysis on R&D projects.

• Journal of the Korea Safety Management & Science
• /
• v.22 no.1
• /
• pp.1-8
• /
• 2020

Maintenance of power distribution facilities is a significant subject in the power supplies. Fault caused by deterioration in power distribution facilities may damage the entire power distribution system. However, current methods of diagnosing power distribution facilities have been manually diagnosed by the human inspector, resulting in continuous pole accidents. In order to improve the existing diagnostic methods, a thermal image analysis model is proposed in this work. Using a thermal image technique in diagnosis field is emerging in the various engineering field due to its non-contact, safe, and highly reliable energy detection technology. Deep learning object detection algorithms are trained with thermal images of a power distribution facility in order to automatically analyze its irregular energy status, hereby efficiently preventing fault of the system. The detected object is diagnosed through a thermal intensity area analysis. The proposed model in this work resulted 82% of accuracy of detecting an actual distribution system by analyzing more than 16,000 images of its thermal images.

• Journal of the Korean Society for Library and Information Science
• /
• v.14
• /
• pp.19-65
• /
• 1987

Library classification schedule IS based on the classification theory, principle and the system of the classification of science. It should be consisted of the basic principle of library classification which should use the library materials effectively. Continuous study and research on the each subject field of the discipline are essential for keeping up with the transformation of each learning field and the change of modern society. In this paper, I studied comparatively the sections and subsections of the management in KDC, DDC and NDC and reviewed the academic systems of each subject area in the management. I tried to compare the relationship beween the structure of library classifications and academic systems for the more specialized subsections of the management. KDC is influenced by the principle and structure of DDC, but I found that KDC is more similar to NDC than DDC in the sections and subsections of the management. Being un sufficient of subsections of KDC and NDC, they are not enough for the expansion and specialization of the subsections in the management. DDC is necessary to re-schedule for the proper expansion of 650 and 658 with reflection of the importance of that sections and academic systems. In this study, I adoped 9 sections of management, (1) Management policy (2) Administrative organization (3) Personnel (4) Office management and business information management (5) Marketing (6) Financial management (7) Production management (8) Accounting (9) International management. It would be necessary for us to study continuously about the specilized subsubsections of the management for the more professional classification.