• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.04a
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• pp.225-230
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• 2004

A cold ＆ hot rolling coil production line of iron nill consists of a kind of coherent automatic process, but an automatic labelling process still had technical difficulties in the automation of its process. The reason for difficulties in building an automatic process is that quantitative data for each rolled coil from every shipping is not easy to receive from the previous process. it is not possible to apply for a general and simple purpose robot that is actually worked through a taught position to the process because the size and direction of the coi1 has differed on every shipping. From these reasons. we introduce a robot vision system to accept an expected variable situation and to ensure the stability and flexibility of the process. This paper examines a study applied for similar cases and finds the position and direction of relied coil using the moment invariant algorithm proposed by Hu. In addition. the camera calibration and position error compensation algorithm is applied by the analysis of the relationship of transition in a space coordinate system. The construction of a robot vision system proposed by this paper is a more intellectual system than that of the automatic labelling system. which is already used to the Daihen steel nill of NEW JAPAN steel mill co. Ltd in Japan, and shows a better independent operation in the field of production.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.75-94
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• 2021

The low birth rate and shortened military service period are causing concerns about selecting excellent military officers. The Republic of Korea entered a low birth rate society in 1984 and an aged society in 2018 respectively, and is expected to be in a super-aged society in 2025. In addition, the troop-oriented military is changed as a state-of-the-art weapons-oriented military, and the reduction of the military service period was implemented in 2018 to ease the burden of military service for young people and play a role in the society early. Some observe that the application rate for military officers is falling due to a decrease of manpower resources and a preference for shortened mandatory military service over military officers. This requires further consideration of the policy of securing excellent military officers. Most of the related studies have used social scientists' methodologies, but this study applies the methodology of text mining suitable for large-scale documents analysis. This study extracts words of discriminative characteristics from the Republic of Korea Air Force Non-Commissioned Officer Applicant cover letters and analyzes the polarity of pass and fail. It consists of three steps in total. First, the application is divided into general and technical fields, and the words characterized in the cover letter are ordered according to the difference in the frequency ratio of each field. The greater the difference in the proportion of each application field, the field character is defined as 'more discriminative'. Based on this, we extract the top 50 words representing discriminative characteristics in general fields and the top 50 words representing discriminative characteristics in technology fields. Second, the number of appropriate topics in the overall cover letter is calculated through the LDA. It uses perplexity score and coherence score. Based on the appropriate number of topics, we then use LDA to generate topic and probability, and estimate which topic words of discriminative characteristic belong to. Subsequently, the keyword indicators of questions used to set the labeling candidate index, and the most appropriate index indicator is set as the label for the topic when considering the topic-specific word distribution. Third, using L-LDA, which sets the cover letter and label as pass and fail, we generate topics and probabilities for each field of pass and fail labels. Furthermore, we extract only words of discriminative characteristics that give labeled topics among generated topics and probabilities by pass and fail labels. Next, we extract the difference between the probability on the pass label and the probability on the fail label by word of the labeled discriminative characteristic. A positive figure can be seen as having the polarity of pass, and a negative figure can be seen as having the polarity of fail. This study is the first research to reflect the characteristics of cover letters of Republic of Korea Air Force non-commissioned officer applicants, not in the private sector. Moreover, these methodologies can apply text mining techniques for multiple documents, rather survey or interview methods, to reduce analysis time and increase reliability for the entire population. For this reason, the methodology proposed in the study is also applicable to other forms of multiple documents in the field of military personnel. This study shows that L-LDA is more suitable than LDA to extract discriminative characteristics of Republic of Korea Air Force Noncommissioned cover letters. Furthermore, this study proposes a methodology that uses a combination of LDA and L-LDA. Therefore, through the analysis of the results of the acquisition of non-commissioned Republic of Korea Air Force officers, we would like to provide information available for acquisition and promotional policies and propose a methodology available for research in the field of military manpower acquisition.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1241-1246
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• 2004

The verification confirms a correspondence between requirements and a specification before implementing. The problem in the formal method verifying a protocol specification using model checking is that the protocol behaviors must be always specified in L TS(Label Transition System). But if Region Automata is applied to the model checking, it is enable to verify whether properties are true on specification specified in I/O FSM(Input/Output Finite State Machine) as well as LTS. In this paper, we verify the correctness of rail signal control protocol type 1 specified in I/O FSM by using model checking method and region automata. This removes many errors and ambiguities of an informal method used in the past and saves down expenditures and times required in the protocol development. Therefore it is expected that there will be an increase in safety, reliability and efficiency in terms of the maintenance of the signaling system by using the proposed verification methods.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.35 no.8
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• pp.309-315
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• 1986

We proposed a preliminary Data Flow Machine Model(DNL1) operating on the basis of Node Label. In this model, all the PMs(Processing Modules) were synchronized with the content of LC(Level Counter) and were not implemented dy the processing cability on conditional nodes. This paper presents an architecture of a concurrent multiprocessor system which was developed from DNL1 with two additional types of memories, CF(Control Flag) and ETF (Enabled Token Flag). The CF memory holds the control condition flag ('1' or '0') to be referenced to when a node is fired and the ETF represents the firability of a certain node. Firable nodes are fetched to the PU(Processing Unit) and processed. This Data Flow system can be extended hierarchically by a network of simple modules. The principle working elements of the machine are a set of PMs, each of which performs the execution of the data flow procedures held in a local memory, NTM(Node Token Memory) within the PM.

• Food Science and Industry
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• v.54 no.4
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• pp.268-277
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• 2021

A geographical indication (GI) is a sign used on products that have a specific geographical origin and possess qualities or a reputation that are due to that origin. This paper explores ways to protect Korean goods as GIs in the U.S. and EU by examining the efforts of the Colombian Coffee Federation (FNC) to protect Colombian coffee. The FNC enhanced the global awareness of Colombian coffee and increased the profits of Colombian coffee producers by registering Colombian coffee as a certification mark in the U.S. and as a GI under the EU's quality schemes. The Korean government protects kimchi under its own GI system. For kimchi products to earn the label "Korean kimchi," the three main ingredients must be produced in Korea. This has been a challenge for kimchi producers, who often rely on imported ingredients. Korea could learn from FNC's strategies to improve the current GI system for kimchi.

• Journal of the Korean Society of Food Culture
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• v.10 no.3
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• pp.155-166
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• 1995

Consumer awareness of current food labeling system and new nutrition labeling system which the government considers to adopt widely was assessed, from May to June in 1994, for 423 adults living in Seoul. Being highly conscious of food safety, they thought the current food label did not provide sufficient information. Dissatisfaction with the current system was shown higher in the female, young, or unmarried strata. The need for nutrition labeling system was widely recognized by 82% of total respondents regardless of sex, level of education, monthly income, and marital status. Although some expressed worries about proper management of the system, most of the respondents answered that the system would benefit them after all. In this connection, 59% of the respondents showed willingness to accept a price increase to be entailed by nutrition labeling. Nutrition informations that, they thought, should be covered were: calorie>minerals>cholesterol>protein>vitamins>fat>sodium. Additional labeling informations they called for were nutrient contents>RDA percentage>specific statement on reinforced or eliminated nutrients.

• Smart Media Journal
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• v.9 no.3
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• pp.80-89
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• 2020

Out - of - distribution (OOD) samples are frequently encountered when deploying a classification model in plenty of real-world machine learning-based applications. Those samples are normally sampling far away from the training distribution, but many classifiers still assign them high reliability to belong to one of the training categories. In this study, we address the problem of removing OOD examples by estimating marginal density estimation using variational autoencoder (VAE). We also investigate other proper methods, such as temperature scaling, Gaussian discrimination analysis, and label smoothing. We use Chonnam National University (CNU) weeds dataset as the in - distribution dataset and CIFAR-10, CalTeach as the OOD datasets. Quantitative results show that the proposed framework can reject the OOD test samples with a suitable threshold.

• The Korean Journal of Food And Nutrition
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• v.30 no.3
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• pp.413-426
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• 2017

The study subjects were 302 adult males and females aged more than 20 years living in the metropolitan area of South Korea. This study was conducted to obtain baseline data to establish proper development and marketing strategies by examining the effects of food-related lifestyles on the importance of diet, purchasing behavior towards diet lunch boxes, and their selected attributes such as menu, packaging, and services. With respect to food-related lifestyle, a cluster analysis was performed by using five factors such as convenience factor, health factor, safety factor, taste factor, and economy factor obtained from factor analysis to derive the economy type, the taste and economy type, the convenience type, the safety type, and the health type. As a result, the respondents regarded 'food hygiene (4.59)', 'freshness (4.47)', 'taste (4.28)', and 'nutrient balance (4.19)' as the selected attributes of diet lunch box menus. Moreover, the importance of diet lunch box menus (${\beta}=0.179$) was increased with increasing safety orientation. 'Shelf life label (4.42)' was the most important selected attribute of diet lunch boxes, followed by 'ingredient label (4.19)', 'nutrition facts label (4.16)', and 'indication of origin (4.15)'. In particular, the importance of packaging for diet lunch boxes (${\beta}=0.203$) was increased with increasing safety orientation. With respect to the selected attributes of services in purchasing diet lunch boxes, 'provision of personalized menus (4.07)' was the most important, and the importance of services for diet lunch box (${\beta}=0.160$) was increased with increasing taste and economy orientation. Based on the above results, the respondents gave importance to the selected attributes related to food safety and health such as hygiene and, freshness. In addition, they also placed emphasis on hygiene and safe factors such as shelf life, ingredients, and nutrition facts labels. Therefore, it is considered necessary to develop diet lunch boxes by taking these factors into account. Furthermore, in services for diet lunch boxes, it is considered necessary to establish a service system capable of providing consumers with specialized menu or nutrition counseling according to the food-related lifestyle for their proper health management. Particularly, because consumers place emphasis on both food hygiene and safety, and health, it is considered necessary to thoroughly manage hygiene, safety, and nutrition in menu or packaging so that it is possible to enhance customer satisfaction by considering these selected attributes in greater detail.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.1B
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• pp.64-72
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• 2004

Multiprotocol Label Switching (MPLS) has been developed as a key technology to enhance the reliability, manageability and overall quality of service of core If networks with connection-oriented tunnel LSP and traffic engineering such as constraint-based routing, explicit routing, and restoration. In this paper, we propose a control bandwidth borrowing scheme that maximizes the utilization of tunnel LSPs or physical links by an extension to the RSVP-TE label distribution protocol. MPLS-based core switching network and VPN services rely on the establishment of connection-oriented tunneled LSPs that are configured or predefined by network management systems. The mechanism of network management system varies from (i) a relatively static LSP establishment accounting, to (ii) a dynamic QoS routing mechanisms. With the use of hierarchical LSPs, the extra bandwidth that is unused by the trunk (outer) LSPs should be fully allocated to their constituent end-to-end user traffic (inner) LSPs in order to maximize their utilization. In order to find out the unused extra bandwidth in tunnel LSP or physical link and redistribute these resources to constituent LSPs, we expend the functionality of RSVP-TE and the found unused extra bandwidth is redistributed with a weight-based recursive redistribution scheme. By the extended RSVP-TE and proposed recursive redistributed scheme, we could achieve the instantaneous maximized utilization of tunnel LSP or physical link suffering from the potential under-utilization problem and guarantee the end-to-end QoS requirements. With the proposed scheme, network manager can manage more effectively the extra available bandwidth of hierarchical LSPs and maximize the instantaneous utilization of the tunneled LSP resources.

• Journal of the Korea Society of Computer and Information
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• v.19 no.9
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• pp.125-139
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• 2014

In this paper, I propose a response modeling with a Semi-Supervised Support Vector Regression (SS-SVR) algorithm. In order to increase the accuracy and profit of response modeling, unlabeled data in the customer dataset are used with the labeled data during training. The proposed SS-SVR algorithm is designed to be a batch learning to reduce the training complexity. The label distributions of unlabeled data are estimated in order to consider the uncertainty of labeling. Then, multiple training data are generated from the unlabeled data and their estimated label distributions with oversampling to construct the training dataset with the labeled data. Finally, a data selection algorithm, Expected Margin based Pattern Selection (EMPS), is employed to reduce the training complexity. The experimental results conducted on a real-world marketing dataset showed that the proposed response modeling method trained efficiently, and improved the accuracy and the expected profit.