• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.19-24
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• 2018

The IP Multimedia Subsystem(IMS) is an architectural framework for delivering IP multimedia services to mobile users. In order to guarantee the reliability and Quality of Service(QoS) of a variety of multimedia services, we need a new evolutionary approach that maintains the IMS based signaling platform which can perform the processing of flow through distributed controllers. Software Defined Network(SDN) is an architecture purporting to be distributed, dynamic, cost-effectives as well as adapting and seeking to be suitable for the high-bandwidth, dynamic nature of today's applications. It requires some methods for the control plane to communication with the data plane. One of such mechanisms is OpenFlow which is a prominent standard protocol and interface that is responsible for managing the network resources by using the remote SDN controller. In this paper, we propose a straightforward approach for integrating SDN technology together with the IMS architecture. Therefore we propose and construct a combined architecture model that performs flow processing using OpenFlow via the IMS based signaling platform, which maintains the existing telecom call service. Additionally, we describe some relevant experimentation results from the proposed architecture.

• Annual Conference of KIPS
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• 2002.11c
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• pp.2145-2148
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• 2002

e-비즈니스 활성화에 따른 물류 환경의 변화로 인해 시장의 확대와 경쟁력 강화를 위한 효과적인 물류망 관리 요구가 대두되고 있다. 인터넷 기반의 B2B는 서로 다른 플랫폼과 서로 다른 문서 구조를 가지고 있으므로 상호운용성에 많은 어려움이 존재하기 때문에 XML를 이용한 전자상거래의 표준인 ebXML를 이용하여 여러 기업간의 업무 프로세스 통합을 효율적으로 수행하도록 한다. e-Logistics 프로세스의 다자간 협업을 위해서 프로세스 자동화를 위한 프로세스 중심의 워크플로우 프로세스 모델링과 역할 중심의 양자간 협업을 위한 ebXML 프로세스 모델링을 기반으로 ebXML 기반의 e-Logistics 프로세스 모델링을 제안한다. 본 논문에서는 인터넷 기반의 B2B 물류 비즈니스 프로세스 모델링을 위한 ebXML 기반의 e-Logistics 프로세스 모델링 시스템 아키텍쳐를 설계한다.

• Annual Conference of KIPS
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• 2022.05a
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• pp.71-73
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• 2022

최근 인프라를 관리할 필요가 없고 폭발적으로 늘어나는 요청을 유연하게 대처할 수 있는 장점 때문에 서버리스 컴퓨팅 사용이 늘어나고 있다. 하지만 서버리스 컴퓨팅은 사용자 코드의 실행 환경을 준비하기 위한 콜드 스타트 과정이 필요하고, 서비스가 복잡해짐에 따라 전체 실행 시간 중 콜드 스타트로 인한 지연시간이 늘어나는 문제가 발생한다. 본 논문에서는 서버리스 컴퓨팅 기반의 워크플로우에 대해 콜드 스타트로 인한 지연 시간을 완화하는 아키텍처 및 기법을 제안한다.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.6
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• pp.285-292
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• 2017

There are technological, operational and environmental constraints at tactical edge, which are disconnected operation, intermittent connectivity, and limited bandwidth (DIL), size, weight and power (SWaP) limitations, ad-hoc and mobile network, and so on. To overcome these limitations and constraints, we use service-oriented architecture (SOA) based technologies. In our research, we propose a hierarchical mission service model that supports service-oriented mission planning and execution in order for a commander to operate various SW required for mission in battlefield environment. We will also implement development tools that utilize the workflow technology and semantic capability-based recommendation and apply them to combat mission scenarios to demonstrate effectiveness.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.574-577
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• 2007

e-Science Service Integration Workbench is the core tool that enables IT-based computation and engineering researchers to collaborate their research activities via data sharing, by semi-automatically supporting the activities. Workbench provides the researchers with a scientific workflow by establishing the environment that is capable of finding, registering, composing, and executing services-legacy codes wrapped with grid services or web services-they need to use. In other words, designing their scientific workflow through the workbench, they can receive or share its final result with their collegues by submitting jobs they describe to computational resources such as supercomputers or grids or requesting an experiment. In this paper, we propose an implementation architecture of e-Science Service Integration Workbench to support grid services of Grid Middleware.

• Journal of KIISE:Software and Applications
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• v.32 no.9
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• pp.835-846
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• 2005

A Product Line (PL) is a set of products (applications) that share common assets in a domain. Product Line Engineering (PLE) is a set of principles, techniques, mechanisms, and processes that enables the instantiation of produce lines. Core assets, the common assets, are created and instantiated to make products in PLE. Model Driven Architecture (MDA) is a new software development paradigm that emphasizes its feasibility with automatically developing product. Therefore, we can get advantages of both of the two paradigms, PLE and MDA, if core assets are represented as PIM in MDA with predefined automatic mechanism. PLE framework in the PIM level has to be interpreted by MDA tools. However, we do not have a standard UML profile for representing core assets. The research about representing PLE framework is not enough to make automatically core assets and products. We represent core asset in PIM level in terms of structural view and semantic view. We also suggest a method for representing architecture, component, workflow, algorithm, and decision model. The method of representing framework with PLE and MDA is used to improve productivity, applicability, maintainability and qualify of product.

• Journal of KIISE:Software and Applications
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• v.34 no.5
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• pp.407-418
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• 2007

Service science is a new application area that implements services in an interdisciplinary area of management, economics, and engineering. Service systems provide functionalities of traditional software systems, moreover the functionalities are more intellectual in that they require dynamic context awareness, analysis, and decision making based on the recognized and analyzed contexts. However, conventional software development approaches do not sufficiently provide methods to model the service requirements and to design service-intensive systems. Therefore, there is a great demand on effective methodologies for developing service systems. In this paper, we compare traditional software systems with service-intensive systems in order to identify characteristics of the service systems. And, we propose a step-wise process to model service systems, in terms of architecture, components, and workflows. Then, we show a case study on an emergency handling system which is a type of living assistant systems. We believe that the proposed approach can be used in developing high-quality service systems effectively.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.2
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• pp.163-188
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• 2018

How do we create a next generation Records Management System? Under a rapidly changing system development environment, the records management system of public institutions has remained stable for the past 10 years. For this reason, it seems to be the key cause of the structural problem of the Records Management System, which makes it difficult to accommodate user requirements and apply a new recording technology. The purpose of this study is to present a redesigned model for a next-generation records management system by analyzing the status of the electronic records management. This study analyzed "A Study on the Redesign of the Next-Generation Electronic Records Management Process," records management technology of advanced records management system, and a case of an overseas system. Based on the analysis results, the improvement direction of the records management system was analyzed from several aspects: functional, software design, and software distribution. This study thus suggests that the creation of a microservice architecture-based (MSA) and an open source software-oriented (OSS) records management system should be the focus of next-generation record management.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.127-135
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• 2023

This research paper explores the application of FinBERT, a variational BERT-based model pre-trained on financial domain, for sentiment analysis in the financial domain while focusing on the process of identifying suitable training data and hyperparameters. Our goal is to offer a comprehensive guide on effectively utilizing the FinBERT model for accurate sentiment analysis by employing various datasets and fine-tuning hyperparameters. We outline the architecture and workflow of the proposed approach for fine-tuning the FinBERT model in this study, emphasizing the performance of various datasets and hyperparameters for sentiment analysis tasks. Additionally, we verify the reliability of GPT-3 as a suitable annotator by using it for sentiment labeling tasks. Our results show that the fine-tuned FinBERT model excels across a range of datasets and that the optimal combination is a learning rate of 5e-5 and a batch size of 64, which perform consistently well across all datasets. Furthermore, based on the significant performance improvement of the FinBERT model with our Twitter data in general domain compared to our news data in general domain, we also express uncertainty about the model being further pre-trained only on financial news data. We simplify the complex process of determining the optimal approach to the FinBERT model and provide guidelines for selecting additional training datasets and hyperparameters within the fine-tuning process of financial sentiment analysis models.