• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1204-1205
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• 2023

본 논문은 소비자의 리뷰 데이터를 기반으로 한 새로운 감성 분석 방법을 제안한다. 긍정, 부정, 중립으로 분류하는 전통적 감성 분석방법은 텍스트에 나타난 감정의 섬세한 차이를 파악하기 어렵다. 이에 본 연구에서는 GPT 모델을 사용하여 텍스트에서 사용자의 감정을 8 가지의 카테고리로 세분화한다. 부정적 정서를 가진 리뷰에서 분노, 혐오, 실망과 같은 구체적인 감정들을 직관적으로 파악할 수 있었고, 감정의 강도까지 파악할 수 있었다. 제안된 방법을 통해 기업은 고객의 요구 사항을 정확하게 인지할 수 있으며, 고객 맞춤형 서비스 개선에 기여할 수 있다는 점이 기대된다.

• Review of KIISC
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• v.32 no.2
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• pp.17-28
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• 2022

사물인터넷은 물류, 환경, 스마트 홈, 자율주행 자동차, 에너지 관리, 스마트시티, 농업 등 다양한 응용 분야를 가지며, 거의 모든 산업분야의 기본 인프라 사용되는 핵심 기술이다. 하지만, 사물인터넷은 쉬운 공격 노출과 다양한 보안 취약성, 다양한 센서로부터 수집되는 데이터에 대한 개인정보보호의 어려움 등 많은 문제점이 존재한다. 최근, 이러한 사물인터넷의 문제점들을 보완할 수 있는 기술로 블록체인 기술이 주목받고 있다. 사물인터넷과 블록체인을 접목하면, 블록체인의 높은 확장성과 공격에 대한 복원력, 신뢰성, 추적성 등을 통해 사물인터넷 서비스의 보안성, 신뢰성을 향상시킬 수 있다. 또한, 데이터 및 프로세스의 정형화, O&M 효율성 향상 등 다양한 장점을 가질 수 있으며, 블록체인이 접목된 사물인터넷 기술은 대부분의 산업분야에 혁신을 발생시킬 수 있다. 하지만, 사물인터넷 디바이스는 기본적으로 높은 자원 제약성을 가지고 데이터 처리에 높은 TPS 성능을 요구하기 때문에 기존 블록체인 기술과 통합되는 것이 쉽지 않다. 이에, 본 고에서는 사물인터넷과 블록체인의 융합을 위한 요구사항을 분석하고, 사물인터넷과 블록체인의 융합을 위해 필수적으로 요구되는 블록체인 스케일링 기술에 대해 알아본다.

• Electronics and Telecommunications Trends
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• v.19 no.6 s.90
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• pp.74-82
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• 2004

인터넷의 도입 및 확대가 활발하게 이루어지면서 보다 많은 이용자들은 홈 네트워킹 기반의 정보 가전 기기, 텔레매틱스, 전자 물류 실현을 위한 전자 태크(RFID), 센서 네트워킹 등 모든 사물이 상호 통신할 수 있는 다양한 서비스를 요구하고 있으며 이를 해결하기 위한 연구가 활발히 진행되고 있다. 그러나 현재인터넷의 기반이 되고 있는 IPv4 주소 체계는 약 43억 개의 주소를 생성할 수 있도록 설계되어 있으며, 그 동안 비효율적인 주소 할당으로 유효한 주소는 불과 5~6억 개 정도만을 사용할 수 있는 실정이다. IPv4 기반의 인터넷 주소 체계로는 앞으로 도래할 유무선 통합 서비스 혹은 방송과 통신이 융합되는 사용자 중심의 인터넷 서비스 네트워크 구축에 많은 문제점을 갖고 있기 때문에 주소 자원을 거의 무한대로 제공하는 IPv6 기반의 인터넷(128비트 IPv6 주소는 2128개의 주소 지원) 도입이 필수적이다. 따라서 현재 IPv4 기반의 인터넷에서 IPv6 기반의 차세대 인터넷으로 전환되고 있으며, 또한 라우터 장비 시장은 차별화된 IPv6 기능을 제공하는 장비 중심으로 재편될 것으로 보인다. 본 고에서는 IPv6 라우터에 대한 IPv6 도입 배경 및 프로토콜에 관련된 제반적 기술을 살펴 보고, 이를 기반으로 외국 시스템들의 현재 구현 상태, IPv6 라우터를 개발하는 데 연구되어야 할 주요 사항 및 국내외 IPv6 도입 추진 현황을 살펴 본다.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.6
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• pp.631-636
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• 2010

The network configuration of SMS number moving service is a very important factor to improve the user convenience to Internet Telephone. To provide the service, The SMSC system is required the the function of DB process and management of the subscriber, In case of SMSG system to interconnects with the other network and SMSC, the function of the call processing of subscriber who has changed his number by interconnecting with NPDB(Number Portability DB) is required. This paper had studied the way to consist the efficient network by the number moving technique.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.123-131
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• 2019

The Internet of Things (IoT) environment must be able to meet the needs of users by providing access to various services that can be used to develop diverse user applications. However, QoS issues arise due to the characteristics of the IoT environment, such as numerous heterogeneous devices and potential resource constraints. In this paper, we propose a QoS prediction method that reflects trust between users in SOA based IoT. In order to increase the accuracy of QoS prediction, we analyze the trust and distrust relations between users and identify similarities among users and predict QoS based on them. The centrality is calculated to enhance trust relationships. Experimental results show that QoS prediction can be improved.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.149-158
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• 2012

As service-oriented software is considered as one of solutions to fulfill the users' needs in internet service environment, it has been increased the demands of reliable service development by the composition of internet services. However a critical issue in the service development approach is to satisfy the performance requirement as well as the functional correctness for the developing services, because impatient user multiply clicks the request-button of service without a short waiting. This paper proposes a framework to examine the performance of composite service. Our testing framework provides the data of service response time to service developer by measuring the service execution time. We develope an Aspect-based timer service, and weave the service with existing services to measure the execution time. Additionally, we perform some experiments to confirm the usefulness of performance test for composite service. This framework can support to develop a good performance service by substitution of the dragging service with another new service that will be a component of composite service.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.159-180
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• 2022

Recently, services using metaverse in various fields are increasing, the technology is behind the metaverse is rapidly developing. Consequently, it is necessary to provide metaverse services in university libraries. Therefore, this study examined the status of using metaverse in domestic university libraries and the librarians response to it. To this end, the cases of foreign libraries and domestic university libraries were analyzed. Furthermore, an interview was conducted with nine librarians of the university library, who has running metaverse service, to collect data on the current status of the university library metaverse and perceptions of it to identify difficulties and requirements of running the service. Based on the results, it is proposing to get the differentiation of metaverse service, acquire professionals, activate education, expand the browsing feature, and select proper platforms as a way to vitalize the metaverse of domestic university libraries. It is expected that this study will help to running or planning the metaverse service of the university library.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.207-213
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• 2023

The control center of an urban railway operator provides railway users with various information on railway use through a 1:N same-time broadcasting system. However, the facilities of the broadcasting system are aging, exposing many limitations in meeting the needs of urban railway users who have become familiar with mobile services. To overcome these challenges, this study analyzed the mobile-based same-time broadcasting services using location information of urban railway users and the requirements of various stakeholders (urban railway users, an operator, and external service providers, etc.) to suggest optimal service models and physical structures. Through this study, it aims to secure safer operations of urban railway as well as to improve better disaster responses through rapid and efficient spread of the situation in case of disaster.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.266-274
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• 2021

Ship officers are subject to excessive job stress, which has negative physical and psychological impacts and may adversely affect the smooth supply and demand of human resources. In this study, a mobile web application was developed as a tool for systematic job stress measurement and management of officers and verified through quality evaluation. Requirement analysis was performed by ship officers and staff in charge of human resources of shipping companies, and the results were reflected in the application configuration step. The application was designed according to the waterfall model, which is a traditional software development method, and functions were implemented using JSP and Spring Framework. Performance evaluation on the user interface, confirmed that proper input and output results were implemented, and the respondent results and the database were configured in the administrator interface. The results of evaluation questionnaires for quality evaluation of the interface based on ISO/IEC 9126-2 metric were significant 4.60 for the user interface and 4.65 for the administrator interface in a 5-point scale. In the future, it is necessary to conduct follow-up research on the development of data analysis system through utilization of the collected big-data sets.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.25-32
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• 2020

In the context-aware system, rule-based AI technology has been used in the abstraction process for getting context information. However, the rules are complicated by the diversification of user requirements for the service and also data usage is increased. Therefore, there are some technical limitations to maintain rule-based models and to process unstructured data. To overcome these limitations, many studies have applied machine learning techniques to Context-aware systems. In order to utilize this machine learning-based model in the context-aware system, a management process of periodically injecting training data is required. In the previous study on the machine learning based context awareness system, a series of management processes such as the generation and provision of learning data for operating several machine learning models were considered, but the method was limited to the applied system. In this paper, we propose a training data generating method of a machine learning model to extend the machine learning based context-aware system. The proposed method define the training data generating model that can reflect the requirements of the machine learning models and generate the training data for each machine learning model. In the experiment, the training data generating model is defined based on the training data generating schema of the cardiac status analysis model for older in health status notification service, and the training data is generated by applying the model defined in the real environment of the software. In addition, it shows the process of comparing the accuracy by learning the training data generated in the machine learning model, and applied to verify the validity of the generated learning data.