• Journal of Information Technology Services
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• v.2 no.2
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• pp.87-95
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• 2003

With the increasing proliferation of World Wide Web, electronic mail systems have become very widely used communication tools. Researches on e-mail classification have been very important in that e-mail classification system is a major engine for e-mail response management systems which mine unstructured e-mail messages and automatically categorize them. in this research we develop e-mail classifiers for e-mail Response Management Systems (ERMS) using naive bayesian learning and centroid-based classification. We analyze which method performs better under which conditions, comparing classification accuracies which may depend on the structure, the size of training data set and number of classes, using the different data set of an on-line shopping mall and a credit card company. The developed e-mail classifiers have been successfully implemented in practice. The experimental results show that naive bayesian learning performs better, while centroid-based classification is more robust in terms of classification accuracy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.18-29
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• 2016

For most organizations, a security infrastructure to protect company's core information and their technology is becoming increasingly important. So various approaches to information security have been made but many security accidents are still taking place. In fact, for many Korean companies, information security is perceived as an expense, not an asset. In order to change this perception, it is very important to recognize the need for information security and to find a rational approach for information security. The purpose of this study is to present a framework for information security strategies of companies. The framework classifies companies into eight types so company can receive help in making decisions for the development of information security strategy depending on the type of company it belongs to. To develope measures to classify the types of companies, 12 information security professionals have done brainstorming, and based on previous studies, among the factors that have been demonstrated to be able to influence the information security of the enterprise, three factors have been selected. Delphi method was applied to 29 security experts in order to determine sub items for each factor, and then final items for evaluation was determined by verifying the content validity and reliability of the components through the SPSS analysis. Then, this study identified characteristics of each type of eight companies from a security perspective by utilizing the developed sub items, and summarized what kind of actual security accidents happened in the past.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.3
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• pp.63-77
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• 2003

This study was to analyze the trademarks of The Polo Lauren Company in fashion products and its analogous trademarks that have been applied or registered in the Korean Patent Office. The data was collected from the Korean Patent Office and KIPRIS search system was used. Total 468 trademarks applied by the date of September 10, 2003 including 317 registered trademarks of the Polo Lauren Company and 151 its analogous trademarks applied for fashion products, were used for the analysis. The results were follows. (1) Total 73 different types of trademarks of the Polo Lauren Company were registered for 26 product classification. Trademarks were composed of all possible combination of letter, sign and sketch to prevent the registration of its analogous trademark. Also even the same trademarks were registered for each different product classification. Since the early 1990s the extended trademarks for each segments reflecting diverse lifestyles were frequently registered. (2) Total 134 trademarks that had applied for registration were rejected due to its analogousness to the Polo Lauren. Most of them were seem to purposely analogous to mislead and to confuse consumers. The major type was to add one or two words as brand extention to the genuine Polo brand. Next type was minor modification of genuine trademark. The last type was almost same brand names in different product categories. (3) Total 3 trademarks were not permit to register by the objection of the Polo Lauren Company. Total 19 trademarks were permit to register. Those showed low degree of analogousness. However most of these trademarks were cancelled by the lawsuit of the Polo Lauren company.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.720-724
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• 2008

Concentration about value of invisible asset has increased in the condition of rapid business circumstance change. As one of these concentration, many company adopted knowledge management, and construction industry also tried to adopt knowledge management. However, it is difficult for construction company to get expected effects because of knowledge management system in no relation with business process. To solve this problems, this study adopted BPM that has many functions, such as business process design, operation, monitoring, sustainable improvement, to knowledge classification structure.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.51-61
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• 2022

Purpose - The purpose of this study is to establish the government's logistics policy by calculating the logistics cost of the company and grasping the management status, to reduce the logistics cost of the related companies and to provide basic statistical data necessary for the management strategy. This work examines some associations between reasons for reducing corporate logistics costs (RCLC) and corporate classification such as industry and sales size. Research design, data, and methodology - The survey was conducted in 2018 for 2,000 companies based on the business of mining, manufacturing and wholesale and retail industries since 2010. The survey population is 94,976, of which 92,708 are small and medium enterprises and 2,268 are large corporations. The association among factors may be statistically and visually explored by using chi-squared test and correspondence analysis. Result - This study reveals the association between reasons for RCLC and corporate classification and properties and closeness that exist between the categories of each factor can be mined. Conclusion - As a task to reduce logistics costs of industrial products, expansion and operation of joint logistics business, establishment of cooperative logistics network, and establishment of ordinance on support for smart distribution logistics can be proposed.

• Proceedings of the Korea Society of Design Studies Conference
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• 2002.05b
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• pp.56-57
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• 2002

• Journal of Multimedia Information System
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• v.8 no.4
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• pp.211-220
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• 2021

The process of inspecting SMDs on the PCB boards improves the product quality, performance and reduces frequent issues in this field. However, undesirable scenarios such as assembly failure and device breakdown can occur sometime during the assembly process and result in costly losses and time-consuming. The detection of these components with a model based on deep learning may be effective to reduce some errors during the inspection in the manufacturing process. In this paper, YOLO models were used due to their high speed and good accuracy in classification and target detection. A SMD detection and classification method using YOLO networks based on robust data preprocessing and augmentation techniques to deal with various types of variation such as illumination and geometric changes is proposed. For 9 different components of data provided from a PCB manufacturer company, the experiment results show that YOLOv4 is better with fast detection and classification than YOLOv3.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.116-126
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• 2019

In this paper, an improved one-against-one support vector machine algorithm is used to classify multiple power quality disturbances. To solve the problem of parameter selection, an improved particle swarm optimization algorithm is proposed to optimize the parameters of the support vector machine. By proposing a new inertia weight expression, the particle swarm optimization algorithm can effectively conduct a global search at the outset and effectively search locally later in a study, which improves the overall classification accuracy. The experimental results show that the improved particle swarm optimization method is more accurate than a grid search algorithm optimization and other improved particle swarm optimizations with regard to its classification of multiple power quality disturbances. Furthermore, the number of support vectors is reduced.

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.28-35
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• 2022

To solve the challenge of waste plastics, this study investigated the related technologies and company trends along the plastic life cycle, and primarily describes ICT technologies to improve efficiency in the process of sorting and sorting waste plastics. Waste plastic discharge caused by the explosive increase in parcel traffic because of COVID-19 is also growing exponentially. Hence, waste treatment is emerging as a social challenge. Most of the domestic waste classification depends on the manual process according to the waste pollution level. The plastic material classification approach using the spectroscopy approach reveals a high error in the contaminated waste plastic classification, but if the Artificial Intelligence-based image classification technology is employed together, the classification precision can be enhanced because of the type of waste plastic product and the contaminated part can be differentiated.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.709-726
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• 2018

Database classification is an important preprocessing step for the multi-database mining (MDM). In fact, when a multi-branch company needs to explore its distributed data for decision making, it is imperative to classify these multiple databases into similar clusters before analyzing the data. To search for the best classification of a set of n databases, existing algorithms generate from 1 to ($n^2-n$)/2 candidate classifications. Although each candidate classification is included in the next one (i.e., clusters in the current classification are subsets of clusters in the next classification), existing algorithms generate each classification independently, that is, without taking into account the use of clusters from the previous classification. Consequently, existing algorithms are time consuming, especially when the number of candidate classifications increases. To overcome the latter problem, we propose in this paper an efficient approach that represents the problem of classifying the multiple databases as a problem of identifying the connected components of an undirected weighted graph. Theoretical analysis and experiments on public databases confirm the efficiency of our algorithm against existing works and that it overcomes the problem of increase in the execution time.