• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.87-95
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• 2018

Due to global warming and increased energy costs around the world, interests of energy saving and efficiency have been increased. In particular, forging factories need methods to save energy and increase productivity because of needing amounts of energy uses. To solve the problem, we propose a system, which includes collection, monitoring, and analysis process, to monitor energy uses each facility in realtime based on the IoT devices. This system insists of worksheets management, facility/energy management, realtime monitoring, history search, data analysis through connecting with existed ERP/MES Systems in manufacturing factories. The energy monitoring process is to present used energy collected from IoT devices connected with installed gasmeter and wattmeter each facility. This system provide the change of energy uses, usage fee, energy conversion, and green gas information in realtime on Web and mobile devices. This system will be enhanced with energy saving technology by analyzing constructed big data of energy uses. We can also propose a method to increase productivity by integrating this system with functions of digitalized worksheets and optimized models for production process.

• Journal of Science Education
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• v.34 no.1
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• pp.140-154
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• 2010

The core of subject matter education is determined by the choice of subject matter taught to students and by the organization of content according to educational objectives. The purpose of this research is to suggest ways to improve the present content of science education so as to prepare students and schools for a radically different future. We deduced the main issues the solution of which could lead to significant improvements in the contents of science education by analyzing previous studies and investigating the changes in content that were effected during curriculum revisions in the past. The main issues thus revealed through this study are as follows: the essence of the contents of subject matters in science education, the social and cultural background of change in the science curriculum, the rational steps on the way to choosing contents as part of the science curriculum, the processes of choosing the main contents of each subject, the international comparative study of contents, the updating of contents for the benefit of future society, and the reorganization of subject contents. In order to find a concrete improvement on the issues deduced, we organized an expert group. Then, we proceeded to collect and analyze the experts' opinions. A survey was administered to 19 science education experts working with universities and colleges of education. We examined their degree of agreement on the issues and problems, and on the steps that may be taken to us the improvements on these issues. we suggested that: collecting opinion and reaching an agreement on the essence of the contents of the subject matters in science education, the necessity to choose core contents within the scientific domain, developing a structure map in order to integrate and connect various subject domains, presenting explicitly the objective of inquiry by grades, moving toward integrating science contents, diversifying the construction of science textbooks.

• Journal of the Korea Society for Simulation
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• v.23 no.2
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• pp.73-84
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• 2014

Recently, researches on the application of IT technology to various fields including traditional industries are becoming more popular. One challenge in the field of education is to understand the way how technology may support learning, and research on self-directed learning has been accelerated by integrating education and IT technology. The process of self-directed learning in e-learning applications such as Car Maintenance Training is very difficult and complicated. Previous studies on car maintenance training applications provided simple training scenarios with predetermined action sequences. To incorporate self-directed learning in car maintenance training, however, trainees must be able to perform various maintenance operations himself and experience various situations. To provide such functionality, it is necessary to obtain an accurate response for various operations of trainees, but it requires complicated calculations with respect to varieties in the electrical and mechanical processes of a car. In this paper, we develop a logic simulation agent using JESS inference engine in which self-directed learning is achieved by capturing the behavior of trainees and simulating car operations without complicated physical simulations in car maintenance training.

• Spatial Information Research
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• v.18 no.2
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• pp.67-75
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• 2010

When people are shopping at a large shopping mall, they usually become to go around many stores for looking for better products and comparing them. In this paper, we design and implement a purchasing activity support system based on an Ambient Service Model that provides relevant stores information on map interface hierarchically through user contexts based search, to support such user's purchasing activities with the help of relevant information. In this system, users can search for relevant stores information through the system by Ambient Query which is created by their location and stores information with a mobile device. Then, users obtain relevant stores information provided in the form of hierarchy of keywords as a highly condensed summary and easily figure out the locations of the stores on a map interface. Moreover, users search additional other kinds of relevant stores information over the hierarchy of keywords. Eventually, users can obtain relevant stores information intuitively and conveniently without complex search processes. We implemented this system by integrating the subordinate technologies such as RFID, map-based, location-based and ontology technology. We also performed experiments on a well-known shopping region (Ilsan Lapesta shopping mall, Goyang-city Gyeonggi-do, Korea). Finally, we also confirmed that users' shopping activities were significantly improved by utility the present system.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.29-37
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• 2020

Recently, the neural network-based deep learning algorithm has dramatically improved performance compared to the classical Gaussian mixture model based hidden Markov model (GMM-HMM) automatic speech recognition (ASR) system. In addition, researches on end-to-end (E2E) speech recognition systems integrating language modeling and decoding processes have been actively conducted to better utilize the advantages of deep learning techniques. In general, E2E ASR systems consist of multiple layers of encoder-decoder structure with attention. Therefore, E2E ASR systems require data with a large amount of speech-text paired data in order to achieve good performance. Obtaining speech-text paired data requires a lot of human labor and time, and is a high barrier to building E2E ASR system. Therefore, there are previous studies that improve the performance of E2E ASR system using relatively small amount of speech-text paired data, but most studies have been conducted by using only speech-only data or text-only data. In this study, we proposed a semi-supervised training method that enables E2E ASR system to perform well in corpus in different domains by using both speech or text only data. The proposed method works effectively by adapting to different domains, showing good performance in the target domain and not degrading much in the source domain.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.367-373
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• 2016

The construction of National Spatial Data Infrastructure (NSDI) started from 2008 and was completed at 2012, with the aim of co-utilizing public agencies' national spatial information by integrating and linking. Despite the existence of the NSDI, an update of spatial data is not fully reflected because the spatial information has not been updated simultaneously by NSDI and public agencies. By examining the public agencies' services using the spatial information, a national budget is wasted because the re-usable similar services are duplicated. These issues could be solved by adopting a cloud system, whose concept is co-utilizing IT resources, to the NSDI. This study examined the service cloud based expansion and development plan for NSDI. The plan included an implementation strategy for a spatial information service cloud system and an establishment plan for a governance system. The service scenarios, concept diagram, and service functions for the system were derived in a system implementation plan. For the service functions, the unit functions of two modules were proposed and specific functions were derived. In the establishment of a governance system, the business roles and business processes were defined for organizations managing service cloud based NSDI. The business role and process were defined and derived by each service life-cycle step. With the proposed system implementation plan, a detail system design and composition of the organization could be possible, and a service cloud-based NSDI system could be implemented.

• School Mathematics
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• v.18 no.2
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• pp.257-275
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• 2016

The purpose of this study was to investigate the impact of multiple representations on students' understanding of fractions, decimals, and percent. The instructional approach integrating multiple representations was compared to traditional algorithmic instruction, a form of direct instruction. To examine and compare the impact of multiple representations instruction with traditional algorithmic instruction, pre and post tests consisting of five similar items were administered with 87 middle school students. Students' scores in these two tests and their problem solving processes were analyzed quantitatively and qualitatively. The quantitative results indicated that students taught by traditional algorithmic instruction showed higher scores on the post-test than students in the multiple representations group. Furthermore, findings suggest that instruction using multiple representations does not guarantee a positive impact on students' understanding of mathematical concepts. Qualitative results suggest that the limited use of multiple representations during a class may have hindered students from applying their use in novel problem situations. Therefore, when using multiple representations, teachers should employ more diverse examples and practice with multiple representations to help students to use them without error.

• The Korean Journal of Archival Studies
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• no.65
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• pp.397-457
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• 2020

The purpose of this study is to assist in the overall understanding through detailed analysis of the ISO 30301:2019 standard, and to discuss the implications of the standard. To this end, this study first looked at the background of the revision of the ISO 30301 standard, and specifically outlined the process of establishing and revising the management systems for records family of standards by time. This study also looked at the HLS(High Level Structure) of the management system standard applied in the revised edition and the main revisions to the ISO 15489:2016 standard, as well as the emerging concept of 'Records requirements'. This study then compared revisions to the ISO 30301:2019 standard with the HLS of the management system standard and the ISO 30301:2011 standard. In addition, the main features of the revised edition of this standard were identified by analyzing new, enhanced, and changed requirements in the revised edition of ISO 30301. Based on this analysis, the amendments to this standard divided into four categories: expanding the records processes and realizing systematic record management, strengthening leadership and efficient management of the management systems for records, integrating and utilizing full-fledged other management system standards, and realizing flexible records management governance at the business process level.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.821-829
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• 2019

This study was conducted to evaluate the applicability of the extracts from nipa palm, molokhia, and finger root in functional cosmetics as a natural active ingredient. The extracts were obtained through the processes of heating under reflux with ethanol, filtration, concentration, and freeze-drying. UV absorption and blocking effects of the extracts were examined by using the UV-vis spectrophotometer equipped with an integrating sphere. Antioxidant activity and its stability between the extracts were compared using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging assay. Also, total polyphenol content in the extracts was determined quantitatively using the Folin-Ciocalteu reagent, with gallic acid as the standard. Antibacterial activity of the extracts was investigated by the disc diffusion test against Staphylococcus aureus (gram-positive) and Escherichia coli (gram-negative). Finally, collagenase inhibitor assay was performed to examine the anti-wrinkle effect of the extracts. From the results of this study, the extract of nipa palm showed the potential for use in cosmetics as an antioxidant and anti-wrinkle agent, and the extract of finger root as a sunscreen and antibacterial agent.

• 한국노년학
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• v.37 no.2
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• pp.309-328
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• 2017

The purpose of this study is to develop a perceived elderly stigma scale for intergenerational research and practice. Although negative stereotypes on elderly population have worsened physical and psychological health of older people, there has been a lack of systematic efforts to measure and monitor stigmatic perception and behavior of younger generation on elderly people. We initially constructed a 34-item perceived elderly stigma scale, by integrating the processes of literature review and exploratory item generation. After confirming the face validity of the scale, a 31-item perceived elderly stigma scale was tested with 252 adults recruited from an online research panel. The result of an exploratory factor analysis suggests a 5-factor solution with 28 items: ability, personality, appearance, authoritarian dependancy, and family-obsession. The convergent/discriminant validity was confirmed by examining its relationships with ageism, elderly discrimination, attitude toward elderly, and respect for elderly. After a series of refinement and empirical tests, the perceived elderly stigma scale would contribute to understanding the current state of elderly discrimination in our society and to develop necessary policies and promotion strategies to eliminate intergenerational conflicts.