• 한국HCI학회:학술대회논문집
• /
• 2008.02b
• /
• pp.380-385
• /
• 2008

To perform the navigation functions more efficiently, the navigation menu structure should be provided easy to understand to the driver in the vehicle environment that is restricted by driving workload, According to these conditions, to design better navigation interface, it is important to study on the navigation menu structure that is depend on the screen size and the information width and depth. Therefore, in this study we provided the different menu structures of 7-inch touchscreen LCD and 4-inch touchscreen LCD to the driver respectively in the driving simulator. Then, we compared the preference of each menu structures with the different touchscreen LCD.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2010.07a
• /
• pp.411-412
• /
• 2010

전통적으로 자연어 텍스트로부터의 감정인식 연구는 감정 키워드에 기반한다. 그러나 감정 키워드만을 이용하면 자연어 문장이 원래 갖고 있는 통사정보나 의미정보는 잃어버리게 된다. 이를 극복하기 위해 본 논문에서는 자연어 텍스트를 Predicate Logic 형태로 변환하여 감정 정보처리의 기반데이터로 사용한다. Predicate Logic형태로 변환하기 위해서 의존 문법 구문분석기를 사용하였다. 이렇게 생성된 Predicate 데이터 중 감정 정보를 갖고 있는 Predicate만을 찾아내는데 이를 위해 Emotional Predicate Dictionary를 구축하였고 이 사전에는 하나의 Predicate마다 미리 정의된 개념 클래스로 사상 시킬 수 있는 정보를 갖고 있다. 개념 클래스는 감정정보를 갖고 있는지, 어떤 감정인지, 어떤 상황에서 발생하는 감정인지에 대한 정보를 나타낸다. 자연어 텍스트가 Predicate으로 변환되고 다시 개념 클래스로 사상되고 나면 KBANN으로 구현된 Lazarus의 감정 생성 규칙에 적용시켜 최종적으로 인식된 감정을 판단한다. 실험을 통해 구현된 시스템이 인간이 인식한 감정과 약 70%이상 유사한 인식 결과를 나타냄을 보인다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.5
• /
• pp.801-808
• /
• 2022

Research on how to embed knowledge in large-scale Linked Data and apply neural network models for entity matching is relatively scarce. The most fundamental problem with this is that different labels lead to lexical heterogeneity. In this paper, we propose an extended GCN (Graph Convolutional Network) model that combines re-align structure to solve this lexical heterogeneity problem. The proposed model improved the performance by 53% and 40%, respectively, compared to the existing embedded-based MTransE and BootEA models, and improved the performance by 5.1% compared to the GCN-based RDGCN model.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.195-201
• /
• 2022

For a efficient distance education environment, the need for correct problem recommendation guides considering the learner's exact learning pattern is increasing. In this paper, we study block chain based smart contract technology to suggest a method for presenting the optimal problem recommendation path for individual learners based on the data given by situational weights to the problem patterns of learners collected in the distance education environment. For the performance evaluation of this study, the learning satisfaction with the existing similar learning environment, the usefulness of the problem recommendation guide, and the learner data processing speed were analyzed. Through this study, it was confirmed that the learning satisfaction improved by more than 15% and the learning data processing speed was improved by more than 20% compared to the existing learning environment.

• School Mathematics
• /
• v.9 no.1
• /
• pp.141-160
• /
• 2007

The purpose of this paper was to evaluate how students apply prior knowledge or experience in solving algebra word problems from the chain of signification-based perspective. Three middle school students were evaluated in this case study. The results showed that the subjects formed similarities in the process of applying knowledge needed for solving a problem. The student A and C used semi-open-end formulas and closed formulas as solutions. They then formed concrete shape for each solution using the chain of signification that was applied for solution by forming procedural similarity. At this time, the chain of signification could be the combination of numbers, words, and pictures (such as diagrams or graphs) or just numbers or words. On the other hand, the student C who recognized closed formulas and her own rule as a solution method could not formulate completely procedural similarity due to many errors arising from number information. Nonetheless, all of the subjects showed something in common in the process of coming up with a algorithm that was semi-open-end formula or closed formula.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.3
• /
• pp.203-211
• /
• 2006

Today, Internet covers a world wide range and most appliances of our life are linked to network from enterprise server to household electric appliance. Therefore, the importances of administrable framework that can grasp network state by real-time is increasing day by day. Our objective in this paper is to describe a network weather report framework that monitors network traffic and performance state to report a network situation including traffic status in real-time. We also describe a mobile agent architecture that collects state information in each network segment. The framework could inform a network manager of the network situation. Through the framework. network manager accumulates network data and increases network operating efficiency.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.30 no.4
• /
• pp.317-323
• /
• 2024

According to the section A-VI/3 of the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), Water-based firefighting training center is mandatory to obtain onboard certificates. This space, being similar to fire situations on ships requires that safety measures be quantified to ensure occupant safety and establish operational standards. For fire safety evaluation, cases were designed based on the presence or absence of smoke control equipment using Pyrosim based on Fire Dynamics Simulation (FDS). Vector analysis was performed to evaluate flow of smoke and heat. Available safe escape time / required safe escpae time (ASET/RSET) analysis was conducted to evaluate safety by comparing the interpreted numerical results through Pathfinder. During safety evaluation of the current operational condition, the appropriateness of the function of each smoke control equipment was numerically and visually indicated. The emergency situation with dust collector stopped was expressed by each evacuation time and safety margin of 111.2 seconds, suggesting that be used as a standard of evacuation time.

• Journal of The Korean Association For Science Education
• /
• v.40 no.1
• /
• pp.51-60
• /
• 2020

In this study, we propose research methods to explore the nature of earth science by applying the phenomenological approach and NOS-family resemblance approach based on literature review. The phenomenological approach exploring the nature of earth science is a method of collecting, analyzing and synthesizing multifaceted features of earth science from intuitive sensory phenomena without prejudice. As a way of exploring the nature of earth science from a phenomenological point of view, we propose the NOS-family resemblance approach to the NOS. This approach provides a comprehensive explanation of NOS by combining the characteristics shared by different areas of science with distinct differences. Applying this method to exploring the nature of earth science, we can identify both domain-general and domain-specific characteristics that make sub-areas of earth science a 'family.' For example, through the networking of features shared by such sub-areas as geology, atmospheric science, oceanography, astronomy, earth system science, etc., we can extract the family-resemblance characteristics that make these sub-areas a family called earth science. Through these approaches to the nature of earth science, the richness, complexity, and dynamic nature of earth science can be revealed as a whole. In addition, we will be able to grasp the change in the sub-areas that constitute the earth science, which in turn changes the nature of earth science, and to contribute to establishing the status and development system of earth science as a school subject.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.7C
• /
• pp.421-427
• /
• 2011

The importance of the real-time object recognition and tracking field has been growing steadily due to rapid advancement in the computer vision applications industry. As is well known, the mean-shift algorithm is widely used in robust real-time object tracking systems. Since the mentioned algorithm is easy to implement and efficient in object tracking computation, many say it is suitable to be applied to real-time object tracking systems. However, one of the major drawbacks of this algorithm is that it always converges to a local mode, failing to perform well in a cluttered environment. In this paper, an Optical Flow-based algorithm which fits for real-time recognition of multiple moving objects is proposed. Also in the tests, the newly proposed method contributed to raising the similarity of multiple moving objects, the similarity was as high as 0.96, up 13.4% over that of the mean-shift algorithm. Meanwhile, the level of pixel errors from using the new method keenly decreased by more than 50% over that from applying the mean-shift algorithm. If the data processing speed in the video surveillance systems can be reduced further, owing to improved algorithms for faster moving object recognition and tracking functions, we will be able to expect much more efficient intelligent systems in this industrial arena.

• Journal of Industrial Convergence
• /
• v.18 no.6
• /
• pp.119-127
• /
• 2020

This study was conducted to confirm the effectiveness of the simulation-based orientation program for students preparing for clinical practice in child nursing for the first time. A quasi-experimental non-equivalent control group, pre-posttest design was used. The subjects were 70 3rd grade nursing students who started clinical practice. The simulation-based orientation was applied to 35 students in the experimental group, and the existing lecture style orientation was applied to 35 students in the control group. Data collection was conducted on the nursing competence, perceived stress, self-efficacy, and communication skills before and after orientation. The collected data were analyzed using the SPSS WIN 23.0 program. As a result of the study, the simulation-based orientation program before child nursing practice of nursing college students was found to improve nursing competence (t=5.390, p<.001). Perceived stress, self-efficacy, and communication skills all increased after practice, but were not statistically significant. Therefore, it is necessary to fully consider the situation of students when constructing and operating the contents of the simulation-based orientation.