• IE interfaces
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• v.12 no.2
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• pp.294-304
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• 1999

This paper describes the theoretical background and detailed structure of Navi-HEGS (Navigation system Human factors Evaluation and Guideline System) which has been developed for the human factors and HMI(Human-Machine Interface) researches for a CNS (Car Navigation System) and a digital map. Navi-HEGS is and integrated system that consists of a digital map UIMS(User Interface Management System), a CNS simulator, various evaluation tools, and a design guideline system. If Navi-HEGS is properly applied and utilized, it is possible to extract the substantial users requirements and preferences of a CNS and a digital map and then, these requirements can be simulated and evaluated with various human factors evaluation techniques. Applications of Navi-HEGS can improve the CNS usability, drivers safety and performance that directly affect the success of ITS(Intelligent Transport System). Also, results can be used as the basic data to establish the standards and design guidelines for the driver-centered CNS design.

• Journal of Digestive Cancer Research
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• v.10 no.1
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• pp.16-21
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• 2022

Diagnosis of gastric subepithelial tumors (SETs) is sometimes difficult with conventional endoscopy or tissue sampling with standard biopsy, so non-invasive imaging modalities such as endoscopic ultrasound (EUS) and computed tomography are used to evaluate the characteristics of SETs features (size, location, originating layer, echogenicity, shape). However imaging modalities alone is not able to distinguish among all types of SETs, so histology is the gold standard for obtaining the final diagnosis. For tissue sampling, mucosal cutting biopsy and mucosal incision-assisted biopsy and EUS-guided fine-needle aspiration or biopsy (EUS-FNA or EUS-FNB) is commonly recommended. Endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) are used for resection of SETs involving the mucosal and superficial submucosal layers, could not treat adequately and safely the SETs involving the deep mucosa and muscularis propria. Submucosal tunneling endoscopic resection (STER) and endoscopic full-thickness resection (EFTR) is used as a therapeutic option for the treatment of SETs with the development of reliable endoscopic closure techniques and tools.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.632-633
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• 2023

Diabetic retinopathy (DR) is a prevalent complication of diabetes that can lead to vision impairment if not diagnosed and treated promptly. This study presents a novel approach for the automated grading of diabetic retinopathy in ultra-widefield fundus images (UFI) using deep learning techniques. We propose a method that involves preprocessing UFIs by cropping the central region to focus on the most relevant information. Subsequently, we employ state-of-the-art deep learning models, including ResNet50, EfficientNetB3, and Xception, to perform DR grade classification. Our extensive experiments reveal that Xception outperforms the other models in terms of classification accuracy, sensitivity, and specificity. his research contributes to the development of automated tools that can assist healthcare professionals in early DR detection and management, thereby reducing the risk of vision loss among diabetic patients.

• Journal of Smart Tourism
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• v.4 no.1
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• pp.19-29
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• 2024

The objective of this article is to create a model of integrated management from the framework modeling of a digital collaborative network supported by knowledge engineering to make heritage site in the Brazil more effective. It is an exploratory and qualitative research with thematic analysis as technique of data analysis from the collaborative network, digital platform, world heritage, and tourism themes. The snowballing approach was chosen, and the mapping and classification of relevant studies was developed with the use of the spreadsheet tool and the Mendeley® software. The results show that the collaborative network model oriented towards strategic objectives should be supported by a digital platform that provides a technological environment that adds functionalities and digital platform services with the integration of knowledge engineering techniques and tools, enabling the discovery and sharing of knowledge in the collaborative network.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.213-220
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• 2006

Plant construction industry is a high value-adding industry because it is complex industry comprising engineering, procurements of equipments and construction. So, Revenue increase in overseas plant projects would boost up not only domestic construction industry but also growth of national economy. Recently, overseas plant-construction market is expanding dramatically. For instant, Middle-east countries are constantly increasing their orders for the construction of petro-chemical plants stimulated by sky-rocketing oil prices. The purpose of this research is to develop management techniques for plant projects such as work break-down structure, knowledge management system, logistics & procurement system, and risk assessment tools. We believe our research would contribute to the competion of Korean engineeing companies and contractors in overseas plant-construction market.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.910-917
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• 2011

CBTC(Communication Based Train Control) car-borne equipment, a part of the communication based train control system, mainly consists of automatic train protection(ATP) functions, automatic train operation(ATO) functions as well as the interface functions with other equipment including CBTC wayside equipment and train control management system etc. The CBTC car-borne software implementing ATP/ATO functions is a real-time embedded software requiring a high level of safety and reliability. To satisfy the requirements of the CBTC car-borne software, the model-based design techniques are applied with SCADE(Safety-Critical Application Development Environment) to the development of the CBTC car-borne software. In this paper, we illustrate the process modeling the car-borne ATP/ATO functions satisfying system requirement specification with system requirement management, modeling and document generation tools etc. supported by SCADE. In addition, the developed models corresponding to the ATP/ATO functions are applied to the train with CBTC car-borne equipment through its corresponding EN-50128 standards-compliant C code generated by the code generator. It is shown from the test result that the ATP/ATO models developed by SCADE work well while the trains are running in driverless operation mode.

• Journal of Broadcast Engineering
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• v.5 no.2
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• pp.227-238
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• 2000

This paper, at first, provides analysis on loss pattern of Internet based on real experiments of the current Internet. Then, we propose an effective adaptive QoS management technique, in which measured loss pattern as well as PLR (Packet Loss Ratio) are used to select titrate of temporal scalability. level of FEC and retransmission This selection is also incorporated to the MPEG-4 error resilience tools and error concealment techniques. In order to minimize effect of packet loss, multimedia stream is segmented in the unit of group of Pictures (GOP) and interleaving and FEC are applied to the segment. Proposed algorithms are applied to build a VOD system.

• International Journal of Quality Innovation
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• v.5 no.2
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• pp.17-25
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• 2004

Despite the fact that much has been published about Six Sigma in the business and academic press and on the Internet in recent years, there is still confusion among many people, particularly those who work in the transactional and service environments, about the nature of Six Sigma. It is true that Six Sigma like other process improvement programs before was first applied to manufacturing processes; however, many corporations including General Electric and Sony have successfully applied Six Sigma to their transactional and service processes as well. Six Sigma is used by many companies not only to improve the quality of their products and services but also to achieve quantifiable financial results, improve management style and communication, and achieve customer and employee satisfaction. Whether in manufacturing or non-manufacturing environments, the application of Six Sigma differs from organization to organization. Although there are many common elements between these applications, however, special care must be taken when customizing Six Sigma to suit the organizations' needs. In this paper, the author provides some practical and useful guidelines for Six Sigma deployment. This paper is not about the use of numerous statistical tools and techniques that can be found in a typical Six Sigma toolbox. The main emphasis has been placed both on the concept and the implementation of Six Sigma, particularly within the non-manufacturing areas of business.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.5
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• pp.361-366
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• 2013

Prediction of process parameters is very important in parameter design. If predictions are fairly accurate, the quality improvement process will be useful to save time and reduce cost. The concept of dual response approach based on response surface methodology has widely been investigated. Dual response approach may take advantages of optimization modeling for finding optimum setting of input factor by separately modeling mean and variance responses. This study proposes an alternative dual response approach based on machine learning techniques instead of statistical analysis tools. A hybrid neural network-genetic algorithm has been proposed for the purpose of parameter design. A neural network is first constructed to model the relationship between responses and input factors. Mean and variance responses correspond to output nodes while input factors are used for input nodes. Using empirical process data, process parameters can be predicted without performing real experimentations. A genetic algorithm is then applied to find the optimum settings of input factors, where the neural network is used to evaluate the mean and variance response. A drug formulation example from pharmaceutical industry has been studied to demonstrate the procedures and applicability of the proposed approach.

• Asia pacific journal of information systems
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• v.3 no.2
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• pp.93-116
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• 1993

This study surveys 212 accounting information systems (AIS) of 85 manufacturing firms by using the research model based on the management process of AIS to figure out the current status and problems of the computing environment and AIS of Korean firms. The analysis of the current status leads to the suggestions to promote the utilization and efficiency of AIS. The level of experiences and education of information system (IS) personnel turns out to be still low. More education is needed to upgrade the IS personnel. AIS users lack in the computer knowledge. The users need more computer education. The analysis on the computerization and information characteristics of the AIS subsystems shows that the computerization is well established in the financial accounting area. On the other hand, the computerization for managerial accounting areas is in its early stage. The managerial accounting systems need be developed to support the managerial decision making effectively. The majority of firms develop the AIS by their own IS teams. When firms use the consulting services in developing AIS, they prefer accounting firms. The majority of firms fail to evaluate the AIS because the evaluation tools are not available. Most firms do not perform the auditing for AIS. It is needed to develop the tool and techniques for evalauation and auditing AIS.