• The Journal of Society for e-Business Studies
• /
• v.22 no.2
• /
• pp.61-77
• /
• 2017

Recently, the number of academic conference information on the Internet has rapidly increased, the automatic classification of academic conference information according to research subjects enables researchers to find the related academic conference efficiently. Information provided by most conference listing services is limited to title, date, location, and website URL. However, among these features, the only feature containing topical words is title, which causes information insufficiency problem. Therefore, we propose methods that aim to resolve information insufficiency problem by utilizing web contents. Specifically, the proposed methods the extract main contents from a HTML document collected by using a website URL. Based on the similarity between the title of a conference and its main contents, the topical keywords are selected to enforce the important keywords among the main contents. The experiment results conducted by using a real-world dataset showed that the use of additional information extracted from the conference websites is successful in improving the conference classification performances. We plan to further improve the accuracy of conference classification by considering the structure of websites.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.36 no.3
• /
• pp.147-154
• /
• 2023

In the case of river facilities, the management of this information differs depending on national and regional rivers, therefore, there is no integrated management in place. There is concern about the loss of facility information owing to the insufficient accumulation of information during their design and construction stages. Additionally, as a result, the utilization level of facility information during the maintenance and operation stages is insufficient. To ensure effective maintenance and operation of river facilities, it is necessary to secure data consistency and increase efficiency by organizing facility information according to a standardized classification system. This study proposes a strategy for implementing the BIM standard classification system in the river sector, considering facility characteristics. The goal is to introduce a BIM information model for 3D-based river facilities, and enable efficient maintenance and operation conversion.

• IE interfaces
• /
• v.22 no.3
• /
• pp.252-262
• /
• 2009

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM (SSVM), for detecting high and low yields. SSVM is step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and SSVM in the yield classification. The experimental results show that SVM and SSVM provides a promising alternative to yield classification for the field data.

• 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.

• Journal of the Korean Society of Safety
• /
• v.33 no.6
• /
• pp.128-135
• /
• 2018

Currently, the government selects products that are likely to cause harm to consumers as safety management targets and classifies them into three types: safety certification, safety confirmation, and supplier conformity verification. In addition, the government conducts safety surveys on products in circulation or accident products, and recalls products that are of great concern to consumer risks. In this paper, we have developed RAP (Risk Assessment method based on Probability), which is a probability based product risk assessment method, for the classification of safety management type of product and safety investigation, and have shown an application example. In this process, information is used for the CISS (Consumer Injury Surveillance System) of the Korean Consumer Agency. In addition, we apply the cluster analysis to classify the current supervised children products into three groups. Then, we confirm the effectiveness of RAP by comparing the result of RAP application, cluster analysis result and current safety management classification type. Also, we recognize the need to review the current safety management classification criteria for classifying products into three types.

• The Korean Journal of Archival Studies
• /
• no.53
• /
• pp.201-228
• /
• 2017

Recently, public organizations have been improving the classification in order to introduce records management reference table in accordance with the act on the management of public archives. However, there is no system to mount the revised records management reference table, and there is a problem in usability. The purpose of this study is to design a system function to manage the classification which is the foundation of records management for public organizations. In order to design the function, interviews with the records management specialists of the five public organizations were conducted. Based on this, we have designed a multi-classification system registration function, a hierarchical structure setting function of records, and a record management standard management function.

• International journal of advanced smart convergence
• /
• v.9 no.4
• /
• pp.184-191
• /
• 2020

With the emergence of the 4th Industrial Revolution, core technologies that will lead the 4th Industrial Revolution such as AI (artificial intelligence), big data, and Internet of Things (IOT) are also at the center of the topic of the general public. In particular, there is a growing trend of attempts to present future visions by discovering new models by using them for big data analysis based on data collected in a specific field, and inferring and predicting new values with the models. In order to obtain the reliability and sophistication of statistics as a result of big data analysis, it is necessary to analyze the meaning of each variable, the correlation between the variables, and multicollinearity. If the data is classified differently from the hypothesis test from the beginning, even if the analysis is performed well, unreliable results will be obtained. In other words, prior to big data analysis, it is necessary to ensure that data is well classified according to the purpose of analysis. Therefore, in this study, data is classified using a decision tree technique and a random forest technique among classification analysis, which is a machine learning technique that implements AI technology. And by evaluating the degree of classification of the data, we try to find a way to improve the classification and analysis rate of the data.

• The Journal of the Korea Contents Association
• /
• v.1 no.1
• /
• pp.32-40
• /
• 2001

EC(Electronic Commerce) reduces the middle love of business process and makes the gap doser between suppliers and consumers. EC also makes it possible to products and much more satisfaction to consumers reducing costs. Thus when we study EC, we need to consider business side of EC as well as its technical side. With that point, this study classifies the business factors of EC systematically. This study does not enumerate bits of the factors but present a business technology framework to analyze the mutual relations among the factors.

• Journal of Korean Society for Quality Management
• /
• v.37 no.2
• /
• pp.32-45
• /
• 2009

The importance of quality logistics service has kept growing in fierce competitions. Accordingly, many have tried to assess the logistics service quality and attempted to propose the strategic ways to manage it. However, it has been known that service quality is a multi-dimensional construct and not all quality attributed are viewed as equally important to customers. In other words, each quality attribute has different implications for customer satisfaction. To this respect, the current study attempted to identify the satisfying/dissatisfying quality factor through the Kana approach. In so doing, several satisfying and dissatisfying quality factors in logistics service quality were identified. Further, several academic and practical implications for logistics service quality were proposed.

• Journal of Korean Society for Quality Management
• /
• v.43 no.3
• /
• pp.439-452
• /
• 2015

Purpose: The purpose of this study is to propose useful suggestions by analyzing cases as to how global companies have implemented a rural outreach as a part of their CSR activities. Methods: Case studies were conducted. The cases were selected through the literature review and, based on two-by-two matrices, four types of cases were classified. Results: The results of this study are as follows; CSR activities of global companies in the rural area were categorized into two parts - "where to support(agricultural business or rural area)" and "how to support(whether to connect with business or not)." Conclusion: Domestic companies need to refer to the result of this study to increase the diversity and the effectiveness of their rural outreaches of CSR activities.