• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.3
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• pp.159-168
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• 2022

Local governments should try to resolve the inequality of living SOC (Social Overhead Capital) and construct spatial information on the location of living SOCs and optimal locations. This study analyzed the accessibility, equity, and optimal location of the living SOC, considering the research needs related to the living SOC. The target facility is core living facilities(a public library, a park, a culture center, and a public daycare center). The analysis area is Suwon city in Gyeonggi province, and the base year of the analysis is 2020. The study calculated accessibility per population in a microscopic neighborhood living area(200m×200m). The Gini coefficient was used to identify the regional disparity in accessibility among Dong regions. The optimal location was explored with the Maximal Covering Location Problem theory. As a result, spatial accessibility of facilities except for public daycare centers revealed a large gap between regions. Areas with excellent accessibility also showed significant variations in the facilities. The regional disparity in living SOC was the largest in culture centers, followed by parks, public daycare centers, and public libraries. The optimal locations for public libraries, parks, and culture centers are concentrated in the old downtown, while those of public daycare centers are found throughout Suwon city. The results of this study are the crucial contents of spatial planning for SOC supply in local governments. Therefore, follow-up studies will be able to refer to the analysis structure and results of the study.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.5
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• pp.482-488
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• 2014

This paper aims to analyze user's emotion automatically by analyzing Twitter, a representative social network service (SNS). In order to create sentiment analysis models by using machine learning techniques, sentiment labels that represent positive/negative emotions are required. However it is very expensive to obtain sentiment labels of tweets. So, in this paper, we propose a sentiment analysis model by using self-training technique in order to utilize "data without sentiment labels" as well as "data with sentiment labels". Self-training technique is that labels of "data without sentiment labels" is determined by utilizing "data with sentiment labels", and then updates models using together with "data with sentiment labels" and newly labeled data. This technique improves the sentiment analysis performance gradually. However, it has a problem that misclassifications of unlabeled data in an early stage affect the model updating through the whole learning process because labels of unlabeled data never changes once those are determined. Thus, labels of "data without sentiment labels" needs to be carefully determined. In this paper, in order to get high performance using self-training technique, we propose 3 policies for updating "data with sentiment labels" and conduct a comparative analysis. The first policy is to select data of which confidence is higher than a given threshold among newly labeled data. The second policy is to choose the same number of the positive and negative data in the newly labeled data in order to avoid the imbalanced class learning problem. The third policy is to choose newly labeled data less than a given maximum number in order to avoid the updates of large amount of data at a time for gradual model updates. Experiments are conducted using Stanford data set and the data set is classified into positive and negative. As a result, the learned model has a high performance than the learned models by using "data with sentiment labels" only and the self-training with a regular model update policy.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.111-136
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• 2018

In this paper, we propose a methodology to extract answer information about queries from various types of unstructured documents collected from multi-sources existing on web in order to expand knowledge base. The proposed methodology is divided into the following steps. 1) Collect relevant documents from Wikipedia, Naver encyclopedia, and Naver news sources for "subject-predicate" separated queries and classify the proper documents. 2) Determine whether the sentence is suitable for extracting information and derive the confidence. 3) Based on the predicate feature, extract the information in the proper sentence and derive the overall confidence of the information extraction result. In order to evaluate the performance of the information extraction system, we selected 400 queries from the artificial intelligence speaker of SK-Telecom. Compared with the baseline model, it is confirmed that it shows higher performance index than the existing model. The contribution of this study is that we develop a sequence tagging model based on bi-directional LSTM-CRF using the predicate feature of the query, with this we developed a robust model that can maintain high recall performance even in various types of unstructured documents collected from multiple sources. The problem of information extraction for knowledge base extension should take into account heterogeneous characteristics of source-specific document types. The proposed methodology proved to extract information effectively from various types of unstructured documents compared to the baseline model. There is a limitation in previous research that the performance is poor when extracting information about the document type that is different from the training data. In addition, this study can prevent unnecessary information extraction attempts from the documents that do not include the answer information through the process for predicting the suitability of information extraction of documents and sentences before the information extraction step. It is meaningful that we provided a method that precision performance can be maintained even in actual web environment. The information extraction problem for the knowledge base expansion has the characteristic that it can not guarantee whether the document includes the correct answer because it is aimed at the unstructured document existing in the real web. When the question answering is performed on a real web, previous machine reading comprehension studies has a limitation that it shows a low level of precision because it frequently attempts to extract an answer even in a document in which there is no correct answer. The policy that predicts the suitability of document and sentence information extraction is meaningful in that it contributes to maintaining the performance of information extraction even in real web environment. The limitations of this study and future research directions are as follows. First, it is a problem related to data preprocessing. In this study, the unit of knowledge extraction is classified through the morphological analysis based on the open source Konlpy python package, and the information extraction result can be improperly performed because morphological analysis is not performed properly. To enhance the performance of information extraction results, it is necessary to develop an advanced morpheme analyzer. Second, it is a problem of entity ambiguity. The information extraction system of this study can not distinguish the same name that has different intention. If several people with the same name appear in the news, the system may not extract information about the intended query. In future research, it is necessary to take measures to identify the person with the same name. Third, it is a problem of evaluation query data. In this study, we selected 400 of user queries collected from SK Telecom 's interactive artificial intelligent speaker to evaluate the performance of the information extraction system. n this study, we developed evaluation data set using 800 documents (400 questions * 7 articles per question (1 Wikipedia, 3 Naver encyclopedia, 3 Naver news) by judging whether a correct answer is included or not. To ensure the external validity of the study, it is desirable to use more queries to determine the performance of the system. This is a costly activity that must be done manually. Future research needs to evaluate the system for more queries. It is also necessary to develop a Korean benchmark data set of information extraction system for queries from multi-source web documents to build an environment that can evaluate the results more objectively.

• Journal of Korean Ophthalmic Optics Society
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• v.11 no.3
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• pp.249-258
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• 2006

There are many functions of glasses. Not only as a medical instrument but also for decorative purpose and individuality as a mean of expression. The concept of glasses applied according to various purposes and use. Following the designers' point of view, the most important research task is to make products substantial and convenient rather than external beauty after analysis problems and the needs of customers. Because customers ask for the best quality of design all the time. The best design of glass includes essential conditions like; creativity, satisfaction, convenience of use, identity. These conditions are common elements of glasses in both domestic and foreign markets. Also they can be a catalyst to stimulate glasses industry in Korea. First of all to study tho parts of glasses "End Piece", it is essential to consider for a better design. Because it adjusts the center of glasses weight balance for user's comfort. Since many brands are imitated, the significance of "End piece" is of a great importance resulting in a more successful competitiveness.

• Korean Institute of Interior Design Journal
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• v.21 no.4
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• pp.146-154
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• 2012

As Damyang has preserved both beautiful natural environment and tradition very well, it needs colors which can coexist with Damyang while preserving it as it is rather than colorful and refined colors. However, the present Damyang deteriorates the quality of beautiful natural scenes by chaotic uses of colors. Therefore, colors which can represent symbolism based on the present colors of Damyang should be used so that everyone can be pleased with them. Finally, the basic colors decided were classified into main, supplement and highlight colors in consideration of characteristics of each scene and they were effectively arranged based on the colors decided. If such colors and color schemes are properly applied according to characteristics of scenes, ecological, historical, cultural and traditional scenes of Damyang can be preserved consistently. Academic literature uses the abstract to succinctly communicate complex research. An abstract may act as a stand-alone entity instead of a full paper. As such, an abstract is used by many organizations as the basis for selecting research that is proposed for presentation in the form of a poster, platform/oral presentation or workshop presentation at an academic conference. Most literature database search engines index only abstracts rather than providing the entire text of the paper. Full texts of scientific papers must often be purchased because of copyright and/or publisher fees and therefore the abstract is a significant selling point for the reprint or electronic version of the full-text. Abstracts are protected under copyright law just as any other form of written speech is protected. However, publishers of scientific articles invariably make abstracts publicly available, even when the article itself is protected by a toll barrier. For example, articles in the biomedical literature are available publicly from medline which is accessible through design. It is a common misconception that the abstracts in medline provide sufficient information for medical practitioners, students, scholars and patients. The abstract can convey the main results and conclusions of a scientific article but the full text article must be consulted for details of the methodology.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.593-598
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• 2014

To solve the labor shortage of skilled workers, the ship building industry needs the automation and mechanization. Especially, compared with other process, handrail manufacturing process of ship building falls behind the automation. In this paper, we designed and implemented a flat-iron automation system using computer convergence technology that can be used in the production of handrails in shipbuilding. The system's machine part was designed by considering the efficiency, productivity, and stability of the cutting process, and checked the stability of the structure using CATIA and ANSYS. The system's control part was used the PCNC controller to provide openness and scalability. And the part was made for system control and monitoring the system through screen manipulation with touch-screen form. A flat-iron automatic system was developed by converging the mechanics, electronics and computer technology and it will contribute to improve the productivity of the industrial system.

• The Journal of Korean Association of Computer Education
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• v.18 no.6
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• pp.43-51
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• 2015

In this paper, we develops the hybrid career coaching model combined the face to face and the E-coaching, and applies students of childhood education for career guidance. The presented hybrid career coaching manages a profile and state information and a remote access between the coach and coachee on Internet. Then, online part of hybrid coaching deals with saving the data, and understand of the situation of the coachee if it is necessary. And face to face part of hybrid coaching have a conversation, the checking, counsel and introspection if the coach needs. Presented hybrid career coaching model has th procedure of 6 steps such like career coaching guidance, self-understanding, career decision-making, establishment of the career execution planning, execution plan and action will inspection and execution result inspection. Proposed hybrid career coaching is possible to understand coachee's current state on the career map, realize the importance of the execution strategy and maximize the efficiency and effectiveness self-regulation capacity.

• Journal of The Korean Astronomical Society
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• v.53 no.4
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• pp.87-98
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• 2020

The Korea Astronomy and Space Science Institute (KASI) has been developing a next-generation coronagraph (NGC) in cooperation with NASA to measure the coronal electron density, temperature, and speed simultaneously, using four different optical filters around 400 nm. KASI organized an expedition to demonstrate the coronagraph measurement scheme and the instrumental technology during the 2017 total solar eclipse (TSE) across the USA. The observation site was in Jackson Hole, Wyoming, USA. We built an eclipse observation system, the Diagnostic Coronal Experiment (DICE), composed of two identical telescopes to improve the signal-to-noise ratio. The observation was conducted at four wavelengths and three linear polarization directions in the limited total eclipse time of about 140 seconds. We successfully obtained polarization data for the corona but we were not able to obtain information on the coronal electron temperature and speed due to the low signal-to-noise ratio of the optical system and strong emission from prominences located at the western limb. In this study, we report the development of DICE and the observation results from the eclipse expedition. TSE observation and analysis with our self-developed instrument showed that a coronagraph needs to be designed carefully to achieve its scientific purpose. We gained valuable experience for future follow-up NASA-KASI joint missions: the Balloon-borne Investigation of the Temperature and Speed of Electrons in the Corona (BITSE) and the COronal Diagnostic EXperiment (CODEX).

• Steel and Composite Structures
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• v.24 no.2
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• pp.227-237
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• 2017

This paper presents optimization of a long-span portal steel frame under dynamic wind loads using a surrogate-assisted evolutionary algorithm. Long-span portal steel frames are often used in low-rise industrial and commercial buildings. The structure needs be able to resist the wind loads, and at the same time it should be as light as possible in order to be cost-effective. In this work, numerical model of a portal steel frame is constructed using structural analysis program (SAP2000), with the web-heights at five locations of I-sections of the columns and rafters as the decision variables. In order to evaluate the performance of a given design under dynamic wind loading, the equivalent static wind load (ESWL) is obtained from a database of wind pressures measured in wind tunnel tests. A modified formulation of the problem compared to the one available in the literature is also presented, considering additional design constraints for practicality. Evolutionary algorithms (EA) are often used to solve such non-linear, black-box problems, but when each design evaluation is computationally expensive (e.g., in this case a SAP2000 simulation), the time taken for optimization using EAs becomes untenable. To overcome this challenge, we employ a surrogate-assisted evolutionary algorithm (SAEA) to expedite the convergence towards the optimum design. The presented SAEA uses multiple spatially distributed surrogate models to approximate the simulations more accurately in lieu of commonly used single global surrogate models. Through rigorous numerical experiments, improvements in results and time savings obtained using SAEA over EA are demonstrated.

• Informatization Policy
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• v.21 no.3
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• pp.85-101
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• 2014

This study analyzed the influencing factors for knowledge sharing at GKMC, and then tried to illuminate the policy meanings implied in the results. To build a framework of analysis, reviewing the KM-related studies, the author selected five influencing factors for knowledge sharing, such as CMC quality, community commitment, structural social capital, cognitive social capital, and relational capital, and actors, and identified the fact that all the factors have a positive effect on knowledge sharing. In the case of Kwang-ju metropolitan city, the first factor that affects knowledge sharing is community commitment, the second one is CMC quality, and the third one is structural social capital. This result means that to succeed in knowledge sharing, the local government managers should try to shape the bonding among members, and then to get rid of the causes of complaints. In addition, local government also needs to predict problems claims and take proper actions for GKMC to be used conveniently through monitoring their work continuously. Furthermore, they should make a free and happy working environment, closely examining the change of the relationship among social capitals.