• The Journal of Bigdata
• /
• v.8 no.2
• /
• pp.125-131
• /
• 2023

Globally, drug side effects rank among the top causes of death. To effectively respond to these adverse drug reactions, a shift towards an active real-time monitoring system, along with the standardization and quality improvement of data, is necessary. Integrating individual institutional data and utilizing large-scale data to enhance the accuracy of drug side effect predictions is critical. However, data sharing between institutions poses privacy concerns and involves varying data standards. To address this issue, our research adopts a federated learning approach, where data is not shared directly in compliance with privacy regulations, but rather the results of the model's learning are shared. We employ the Common Data Model (CDM) to standardize different data formats, ensuring accuracy and consistency of data. Additionally, we propose a drug monitoring system that enhances security and scalability management through a cloud-based federated learning environment. This system allows for effective monitoring and prediction of drug side effects while protecting the privacy of data shared between hospitals. The goal is to reduce mortality due to drug side effects and cut medical costs, exploring various technical approaches and methodologies to achieve this.

• Journal of The Korean Association For Science Education
• /
• v.41 no.3
• /
• pp.237-250
• /
• 2021

Teachers play a key role in designing a students' learning experience. Teachers are asked to interpret the context in which they are located and to adjust their practice to fit circumstantial needs based on their teacher agency. In this study, we explore the emergence of teacher agency in distance learning caused by COVID-19 and we analyze factors shaping the teacher agency. For this purpose, we interviewed six secondary science teachers who practiced distance learning in 2020. Semi-constructed interviews and their artifacts were collected and analyzed. This study shows that teacher agency is captured when they respond to circumstantial change and modify their practice to achieve their professional purpose or adjust their practice in space for maneuvering or keep their practice consistent. This study also analyzes the factors that affect the emergence of teacher agency in two dimensions. One is individual and the other is contextual. In the individual dimension, educational values shaped by his/her experiences and short/long-term goals for the future support the emergence of teacher agency. In the contextual dimension, there are collaborative and flexible culture shared by the community, co-operation within the teacher community, and material support. On the other hand, in the individual dimension, the teachers' sense of their role, and no reflection for own practice constrain the emergence of teacher agency, and in the contextual dimension, performativity discourse and strong requirement without guidance constrain the emergence of teacher agency. We suggest an effective lens for establishing a strategy that support teachers' professional practice and the emergence of teacher agency.

• Korean Business Review
• /
• v.20 no.1
• /
• pp.19-32
• /
• 2007

As business environments rapidly changing and becoming more competitive, manager begin to realize the needs of the network organization structure reflecting the newly emerging internet environments. This paper, therefore, attempt to provide managers with a framework that can be used to design an effective network structure. The framework described here shows three important characteristics of network organizations: First, staffs need to be knowledge workers, rather than rule follower. Second, managers need to emphasize the empowerment, rather than exercising hierarchical power and control. In order for managers to support the design of network organizations they need to implement information systems that can integrate staffs, tasks, and information technologies.

• Journal of KIISE:Software and Applications
• /
• v.30 no.5_6
• /
• pp.570-578
• /
• 2003

Maximum entropy models are promising candidates for natural language modeling. However, there are two major hurdles in applying maximum entropy models to real-life language problems, such as prepositional phrase attachment: feature selection and high computational complexity. In this paper, we propose a maximum entropy boosting model to overcome these limitations and the problem of imbalanced data in natural language resources, and apply it to prepositional phrase (PP) attachment and part-of-speech (POS) tagging. According to the experimental results on Wall Street Journal corpus, the model shows 84.3% of accuracy for PP attachment and 96.78% of accuracy for POS tagging that are close to the state-of-the-art performance of these tasks only with small efforts of modeling.

• Proceedings of the Korean Information Science Society Conference
• /
• 2010.11a
• /
• pp.127-128
• /
• 2010

본 논문에서는 CCTV 감시 영상에서 취득한 얼굴 이미지를 이용하여, 범죄자 감시목록에 등록된 범죄 용의자를 탐지 식별하는 시스템을 설계 및 구현하였다. 특히 본 논문에서 제안한 SVDD와 SRC를 혼합한 계층적 구조의 범죄 용의자 식별 모듈은 다음과 같은 특성을 갖는다: 1) 먼저 SVDD를 이용하여 범죄 용의자만을 빠르게 인식함으로써, 일반인에 대한 불필요한 범죄자 식별 연산을 수행하지 않는다; 2) 다양한 식별 성능을 저해하는 환경에서도 이미 강인한 성능이 검증된 SRC를 범죄 용의자 식별과정에 적용함으로써 안정적이고 정확한 식별 시스템을 보장한다; 3) 동일 생체 특정의 반복적 사용을 통한 다수결 투표전략을 취함으로써 시스템의 신뢰도를 보장한다; 4) 점증적 갱신의 학습 능력으로 인하여 범죄 용의자 감시목록 데이터베이스의 변화에도 능동적으로 적응한다 실제 KUFD(Korea University Face Database)를 자체 제작하고 캠퍼스 내에서 CCTV 환경의 얼굴 인식 기반 범죄 용의자 탐지 및 식별 시스템 환경을 모의 구축하여 실험적으로 제안된 시스템의 성능을 검증한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.6 no.4
• /
• pp.511-516
• /
• 2011

Recently, the development of computing technology and experiential content for the increased interest in education and cultural facilities to target children and young people experience learning and experiential entertainment systems require a high propensity to invest and are. In this paper, for the 13.56MHz band RFID Reader and Tag RFID technology using the proposed interactive educational globe. Active tags attached to sensors attached to the globe were presented in the RFID reader, arduino and sensors in conjunction with Google Earth COM API was constructed through the physical computing educational system.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.3 no.1
• /
• pp.47-52
• /
• 2010

In this paper, we introduce a new approach for real-time 3D face pose discrimination based on active IR illumination from a monocular view of the camera. Under the IR illumination, the pupils appear bright. We develop algorithms for efficient and robust detection and tracking pupils in real time. Based on the geometric distortions of pupils under different face orientations, an eigen eye feature space is built based on training data that captures the relationship between 3D face orientation and the geometric features of the pupils. The 3D face pose for an input query image is subsequently classified using the eigen eye feature space. From the experiment, we obtained the range of results of discrimination from the subjects which close to the camera are from 94,67%, minimum from 100%, maximum.

• Journal of Labour Economics
• /
• v.37 no.2
• /
• pp.49-78
• /
• 2014

This paper examines the impacts of introducing Five-day school week in South Korean on adolescents' time use. Exploiting the exogenous variation in the adolescents' time at school on Saturday, I estimate the causal effect of change of adolescents' discretion time on their time use. The main findings are as follows. The introduction of the five day school week increased the adolescents' discretion time and their time spent on sleeping, passive leisure(mainly watching television). A one-minute decrease in the adolescents' time at school increase their sleeping time by 0.46 minute and passive leisure time by 0.26 minute.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.10
• /
• pp.1309-1316
• /
• 2001

In the majority of todays animation and computer games, the behaviours of characters are controlled by pre-defined game logic or pre-generated motion. As game developers strive for richer and more interactive games, they often encounter limitations with this approach. This paper attempts to construct a game model using Genetic Algorithms (GAs) in order to produce more intelligent and compelling computer games. Based on learning ability, the use of GAs will enable the characters to continually evolve, providing a changing and dynamic game environment. A real-time game was implemented to investigate the performance and limitations of the system.

• Proceedings of the KAIS Fall Conference
• /
• 2012.05a
• /
• pp.323-326
• /
• 2012

현재 우리나라의 경제 환경을 볼 때, 외부적으로는 석유를 비롯한 원자재 가격이 급등, 미국과 일본이 경제둔화, 거대 경제국가인 중국이 경제성장을 조정하고 있다. 국내에서는 수출증가에도 불구하고 기업들의 설비투자 부진, 실업률 상승 및 내수시장 침체 등으로 경제적 회복이 지연되고 있는 매우 어려운 상태에 직면해 있다. 이와 같이 급격하게 변화하는 경영 환경에서 생존하기 위해서는 인적자원 재개발 및 학습능력의 배양이 어느 때보다 중요하게 부각되고 있다. 인적자원의 능력을 파악하여 인원 선발이나 적재적소에 배치한다면 그 보다 더 나은 조직은 없을 것이다. 역동적 경영 환경 내에서 성공을 추구하는 각 기업은 끊임없는 변화에 적극 대응하여 새로운 변화를 창출해 나가는 인적자원의 능력배양을 기업성공의 중요한 요소로 보고 있다. 따라서 역동적 변화 속에 있는 기업은 변화에 효과적 능동적으로 대처할 수 있는 유연한 조직을 개발하여 고객만족 극대화, 종업원 만족 극대화, 인적자원 활용 극대화를 통하여 기업경쟁력 향상을 이룩할 수 있어야 한다. 이에 본 연구에서는 국내 기업 중 4조 2교대 근무 시스템을 도입하여 지식 근로자를 양성함으로써 큰 성공을 거둔 유한킴벌리의 고성과 근무 시스템의 도입부터 적용, 적용에 따른 성과까지의 전 과정을 심층 연구하여 이 시스템이 기업의 경쟁력을 향상 시키는 중요한 도구로 사용 된 수 있도록 연구 하고자 한다.