• Journal of Information Technology Services
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• v.18 no.1
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• pp.187-200
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• 2019

Bankruptcy prediction model is an issue that has consistently interested in various fields. Recently, as technology for dealing with unstructured data has been developed, researches applied to business model prediction through text mining have been activated, and studies using this method are also increasing in bankruptcy prediction. Especially, it is actively trying to improve bankruptcy prediction by analyzing news data dealing with the external environment of the corporation. However, there has been a lack of study on which news is effective in bankruptcy prediction in real-time mass-produced news. The purpose of this study was to evaluate the high impact news on bankruptcy prediction. Therefore, we classify news according to type, collection period, and analyzed the impact on bankruptcy prediction based on sentiment analysis. As a result, artificial neural network was most effective among the algorithms used, and commentary news type was most effective in bankruptcy prediction. Column and straight type news were also significant, but photo type news was not significant. In the news by collection period, news for 4 months before the bankruptcy was most effective in bankruptcy prediction. In this study, we propose a news classification methods for sentiment analysis that is effective for bankruptcy prediction model.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.10-19
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• 2002

In searching and locating a collection of components on the Web, users require a Web browser. Since the Web libraries tend to grow rapidly, there needs to be an effective way to organize and manage such large libraries. Traditional Web-based library(retrieval) systems provide various classification scheme and retrieval services to store and retrieve components. However, these systems do not include invaluable services, for example, enabling users to grasp the overall contents of the library at the beginning of retrieval. This paper discusses a Web-based library system, which provides the efficient management of object-oriented components and a set of services beyond simple component store and retrieval. These services consist of component comprehension through a reverse engineering process, automated summary extraction, and comprehension-based retrieval. Also, The performance of an automated cluster-based classification scheme adopted on the system is evaluated and compared with the cluster-based classification scheme adopted on the system is evaluated and compared with the performance of two other systems using traditional classification scheme.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.93-103
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• 2023

The purpose of this study was to explore the experiences and future challenges in providing of social service based on agro-healing. The study conducted was a general qualitative research which involved the collection and analysis of experiences shared by four representatives of participating in Gyeonggi-do community service investment pilot project. The data were gathered through individual in-depth interviews, and the findings were thoroughly analyzed to draw meaningful insights. The study revealed three main topics of discussion: "knowing the necessity of entering social services," "thresholds to be crossed to enter social services," and "future tasks". Based on the these results, implications for the development of community social services related to agro-healing were suggested, and the limitations were also discussed.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.95-100
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• 2007

Recently ubiquitous application services are developed plentifully using RFID techniques in the field of distribution and security industries. However, except these field the applications using RFID are not mature yet. In this study, we proposed a real-time context service model of the u-conference based on the real-time contextual information acquired from conference and exposition. With collection of real-time contextual information for u-conference, the model can provide a lot of information services on the state of session attendee, doorway control, affairs, user certification, presentation progress etc. For the verification of proposed real-time context service model of u-conference, we design and implement the conference progress state service included the state of session attendee, user certification and presentation progress etc. This service provides the presentation state information included the current presenter, the paper list, the number of session attendee, the schedule and place of each session using the collecting RFID tag and the related information.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.335-348
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• 2013

Vessel PMS (Planned Maintenance System) is a paper and/or software based system to monitor vessel engine equipment including main propulsion, steering, auxiliary machinery and cargo handling information. This is one of mandatory survey for vessel introduced by IMO (International Maritime Organization). The planned maintenance as well as documentation must be performed according to a system to be approved by classification agencies. Recently, vessel owners have preferred software based systems to collect and preserve accurate data. However, not ship specific and not taking into account the user are said by end users as operational difficulties. To relieve these concerns, this research analyzes vessel PMS data, suggests a middleware to support automatic collection and design consideration of user interface.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.11-23
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• 2011

Recently, Open APIs are getting attention with the advent of Web 2.0. Open APIs are used to combine services and generate new services by Mashup. However, the growing number of available Open APIs raises a challenging issue how to locate the desired APIs. We automatically build ontologies from WSDL, WADL, HTML, and their underlying semantics. The key ingredient of our method is a technique that clusters input/output parameters in the collection of API methods into semantically meaningful concepts, and captures the hierarchical relationships between the terms contained in a parameter. These semantic ontologies allow search engines to support a similarity search for Open APIs based on various protocols such as SOAP, REST, JavaScript, and XML-RPC, and significantly improve the quality of APIs matching by the clustering and hierarchical relationships mechanism.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1557-1563
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• 2022

Currently Spatial Data is collected and processed in various methods, and its usability is very high. However, the existing Spatial Data analysis Software usually requires professional knowledge in the collection, refinement, and application of spatial Date, making it difficult to access and apply it. Therefore, this study established a new WebGIS platform with improved accessibility and usability to solve these problems. This platform supports various services such as master map sharing, spatial data generation, automatic coordinate system conversion, WMS issuance, grid generation, and grid analysis. These services increase operational convenience, such as simplifying repetitive tasks and automatically expressing text files. While it is believed that non-experts can easily and conveniently because of them to simplify and express the results. In addition, it is judged to have high accuracy and reliability compared to the analysis results using the existing Open Source-based GIS software.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.65-89
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• 2024

This study aims to enhance the continuous utilization of community mapping by structurally understanding the intentions behind its ongoing use and the impacts related to it, grounded in prior research. By analyzing existing community mapping cases through literature studies on community mapping, this research identifies the characteristics of community mapping that motivate its sustained use. Moreover, based on the Uses and Gratifications Theory and the Participatory Communication Model (PCM), this study proposes a research model to investigate the factors influencing the intention to continue using community mapping. Unlike previous studies, which primarily focused on developing and applying community mapping processes for case studies, this research not only develops and applies a community mapping process but also aims to apply the findings related to the intention of continued use in future community mapping activity processes for sustained engagement.

• Journal of Korean Public Health Nursing
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• v.19 no.1
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• pp.108-116
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• 2005

The purpose of this study is to determine the level of recognition of home care services and to provide basic data for implementation of home care services. Data collection was carried out between December 2004 and January 2005 by surveying 88 nurses and 40 physicians working at a general hospital and 28 physicians working at different clinics in the Seoul metropolitan city area. The results of this study were as follows: 1. Home care services were recognized by $94.2\%$ of nurses, $77.5\%$ of physicians and $92.9\%$ of clinic physicians. The main sources of information for most of them were medical and nursing journals. 2. The percentages of staff regarding find home care services as necessary for the institutions were $88.6\%$ of nurses, $74.4\%$ of physicians and $57.1\%$ of clinic physicians. All of them anticipated that home care services would maintain 'continuous care' and 'long-term patient care'. 3. The percentages of staff willing to refer their patients to home care were $95.5\%$ of nurses, $100\%$ of physicians and $87.1\%$of clinic physicians. However, only $7.1\%$ of clinic physicians were willing to refer actively. 4. Most nurses and physicians replied that a majority of test-related services is suitable for home care services. However, among medication-related services, intravenous injections were not suitable for home care services. Among treatment-related services, most nurses and physicians replied that Levin tube feeding, oral and nasal suction, simple dressing, perineal care, and enema were suitable for home care services, but incision and drainage, and tracheostomy tube change were not suitable for home care services. In conclusion, for the implementation of hospital-based home care services, it is necessary to educate nurses and physicians on the present condition and precedent at other hospitals.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.33-54
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• 2010

The World Wide Web is transitioning from being a mere collection of documents that contain useful information toward providing a collection of services that perform useful tasks. The emerging Web service technology has been envisioned as the next technological wave and is expected to play an important role in this recent transformation of the Web. By providing interoperable interface standards for application-to-application communication, Web services can be combined with component based software development to promote application interaction both within and across enterprises. To make Web services for service-oriented computing operational, it is important that Web service repositories not only be well-structured but also provide efficient tools for developers to find reusable Web service components that meet their needs. As the potential of Web services for service-oriented computing is being widely recognized, the demand for effective Web service discovery mechanisms is concomitantly growing. A number of public Web service repositories have been proposed, but the Web service taxonomy generation has not been satisfactorily addressed. Unfortunately, most existing Web service taxonomies are either too rudimentary to be useful or too hard to be maintained. In this paper, we propose a Web service taxonomy generation framework that combines an artificial neural network based clustering techniques with descriptive label generating and leverages the semantics of the XML-based service specification in WSDL documents. We believe that this is one of the first attempts at applying data mining techniques in the Web service discovery domain. We have developed a prototype system based on the proposed framework using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web service repositories. We report on some preliminary results demonstrating the efficacy of the proposed approach.