• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.215-235
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• 2006

Recently, Development of IT and digital-tech, and this is becoming factor of digital contents industry development. But, problem that is more suitable e-business model's necessity and quality enemy of distribution web-site to digital contents as transaction this firm dispute by transaction special quality and Payment-system increase of digital contents increases rapidly was risen. In this study, Digital Contents qualify estimation very important persons of digital contents as sequence of study that investigate from target's viewpoint which is serviced through web-site that digital contents is not factors of web-site service method whether digital contents distribution web-site factors effect that is some in customer satisfaction from general viewpoint of actuality digital contents distribution and is the actual proof enemy. This paper's goal that these study finding leads as digital contents industry discusses individual enterprise's success and failure as field of business in quickening period yet but domestic digital contents industry field will be roared and may can have competitive power by enterprises which wish to already started business or inaugurate an enterprise enter in field with successful beginning and direction and develop continuously.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1333-1336
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• 2002

웹 서비스(Web Service)와 그리드 컴퓨팅(Grid Computing)은 서로 다른 목적을 위해 개발되고 있다. 하지만 두 개의 기술은 "동적이며 여러 기관에서 참여하는 가상 조직을 통한 문제 해결과 자원 공유" 와 같은 동일한 문제를 다루고 있다. Computational 웹 서비스(CWS: Computational Web Service)는 그리드 기반 기술로 웹 서비스를 사용하는 새로운 아이디어이다. 현재의 CWS 는 워커와 CWS 사이의 중개 역할을 하는 풀 서비스(Pool Service)를 각자 고유하게 하나씩 소유하고 있다. 그러나 풀 서비스가 특정 CWS 에 소속되어 있다면 자원 사용 측면에서 비효율적이다. 본 논문에서는 CWS 에 독립적이며 일반적인 풀 웹 서비스(PWS: Pool Web Service)와 이를 위한 스케줄링 방법을 제안한다.

• Korean Journal of Remote Sensing
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• v.25 no.6
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• pp.559-569
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• 2009

During over decades, metadata on spatial data have been developed, and they have been widely applied at the national and international metadata standards such as file structure, format, and data model. However, in the web 2.0 paradigm toward user participation and openness, sources and contents of geospatial products are also diversified, not being limited to well-organized and structured data sets or databases. Especially, software products in both open source software and commercially packaged software are considered into important resources in the geospatial domain. But there are no reports or studies regarding software metadata from the side of software engineering or information technology, till now. The motivation of this study is based on practical needs to build search engine in the intelligent geospatial web. Brief review on current metadata standards is presented, and necessity for software metadata is discussed as well as related works. Basic elements, initially considered, of software metadata are presented. This work is the first attempt for software metadata, although it just covers geospatial software products. Further practical works to meet industrial demands need to actual applications of software metadata.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.90-95
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• 2023

With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.602-613
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• 2023

High-quality image datasets are in high demand for various applications. With many online sources providing manually collected datasets, a persisting challenge is to fully automate the dataset collection process. In this study, we surveyed an automatic image dataset generation field through analyzing a collection of existing studies. Moreover, we examined fields that are closely related to automated dataset generation, such as query expansion, web scraping, and dataset quality. We assess how both noise and regional search engine differences can be addressed using an automated search query expansion focused on hypernyms, allowing for user-specific manual query expansion. Combining these aspects provides an outline of how a modern web scraping application can produce large-scale image datasets.

• Information Systems Review
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• v.10 no.1
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• pp.47-69
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• 2008

Korea is one of the most advanced countries in the world in terms of information technologies (IT) applications and usages. However, its web browser market is so dominated by one company, and its web cross browsing according to international guidelines isquestioned. In this research, we have empirically examined web cross browsing of web sites of major companies and pubic institutions in Korea through different web browsers which conform international guidelines. In general, web cross browsing through Firefox was lower by 19% than that through Internet Explorer. Web cross browsing of public institutions was better than that of companies, and financial institutions were the worst. Typical cross browsing problems found with Firefox were inability to pay online, failure to play multimedia contents, and frame display errors. Causes of web cross browsing problems and suggestions for improving cross browsing are discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.5B
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• pp.295-303
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• 2005

Recently, according to the rapid increase of Web users, various kinds of Web applications have been being developed. Hence, Web QoS(Quality of Service) becomes a critical issue in the Web services, such as e-commerce, Web hosting, etc. Nevertheless, most Web servers currently process various requests from Web users on a FIFO basis, which can not provide differentiated QoS. This paper presents a load balancing method to provide differentiated Web QoS in clustering web server. The first is the kernel-level approach, which is adding a real-time scheduling process to the operating system kernel to maintain the priority of user requests determined by the scheduling process of Web server. The second is the load-balancing approach, which uses IP-level masquerading and tunneling technology to improve reliability and response speed upon user requests. The third is the dynamic load-balancing approach, which uses the parameters related to the MIB-II of SNMP and the parameters related to load of the system such as memory and CPU.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.651-657
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• 2015

The amount of web traffic has increased as a result of the rapid growth of the use of web-based applications. In order to obtain valuable information from web logs, we need to develop systems that can support interactive, flexible, and efficient ways to analyze and handle large amounts of data. In this paper, we present CERES, a log-based, interactive web analytics system for backbone networks. Since CERES focuses on analyzing web log records generated from backbone networks, it is possible to perform a web analysis from the perspective of a network. CERES is designed for deployment in a server cluster using the Hadoop Distributed File System (HDFS) as the underlying storage. We transform and store web log records from backbone networks into relations and then allow users to use a SQL-like language to analyze web log records in a flexible and interactive manner. In particular, we use the data cube technique to enable the efficient statistical analysis of web log. The system provides users a web-based, multi-modal user interface.

• Journal of the Korea Society of Computer and Information
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• v.9 no.3
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• pp.27-34
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• 2004

As software developing paradigm has been changing to complicate Web environment, study of complexity becomes vigorous. Yet still it seems that general agreement has not to be reached to architecture or complexity measure of Web application. And so traditional complexity metrics - program size(LOC) and Cyclomatic Complexity can be derived from the source code after implementation. it is not helpful to the early phase of software development life cycle - analysis and design phase. In this study 6 Web projects has been used for deriving applications with possible errors suited by Complexity Indicator. Using 61 programs derived, linear correlation between complexity, number of classes and number of methods has been proposed. As Web application complexity could be estimated before implementation, effort and cost management will be processed more effectively.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.621-630
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• 2003

Web logs are the information recorded by a web server when users access the web sites, and due to a speedy rising of internet usage, the worth of their practical use has become increasingly important. Analyzing such logs can use to determine the patterns representing users' navigational behavior in a Web site and restructure a Web site to create a more effective organizational presence. For these applications, the generally used key methods in many studies are association rules and sequential patterns based by Apriori algorithms, which are widely used to extract correlation among patterns. But Apriori inhere inefficiency in computing cost when applied to large databases. In this paper, we develop a new algorithm for mining interesting patterns which is faster than Apriori algorithm and recommendation agents which could provide a system manager with valuable information that are accessed sequentially by many users.