• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.5
• /
• pp.624-630
• /
• 2012

The peer review learning is a method which improves learning outcome of students through feedback between students and the observation and analysis of other students. One of the important problems in a peer review system is to find proper evaluators to each learner considering characteristics of students for improving learning outcomes. Some of peer review systems randomly assign peer review evaluators to learners, or chose evaluators based on limited strategies. However, these systems have a problem that they do not consider various characteristics of learners and evaluators who participate in peer reviews. In this paper, we propose a novel prediction approach of learning outcomes to apply peer review systems considering various characteristics of learners and evaluators. The proposed approach extracts representative attributes from the profiles of students and predicts learning outcomes using various regression models. In order to verify how much outliers affect on the prediction of learning outcomes, we also apply several outlier removal methods to the regression models and compare the predictive performance of learning outcomes. The experiment result says that the SVR model which does not removes outliers shows an error rate of 0.47% on average and has the best predictive performance.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.3
• /
• pp.328-333
• /
• 2012

Current differential GPS (DGPS) system consists of reference station (RS), integrity monitor (IM), and control station (CS). The RS computes the pseudorange corrections (PRC) and generates the RTCM messages for broadcasting. The IM receives the corrections from the RS broadcasting and verifies that the information is within tolerance. The CS performs realtime system status monitoring and control of the functional and performance parameters. The primary function of a DGPS integrity monitor is to verify the correction information and transmit feedback messages to the reference station. However, the current algorithms for integrity monitoring have the limitations of integrity monitor functions for satellite outage or anomalies. Therefore, this paper focuses on the detection and identification methods of satellite anomalies for maritime DGPS RSIM. Based on the function analysis of current DGPS RSIM, it first addresses the limitation of integrity monitoring functions for DGPS RSIM, and then proposes the detection and identification method of satellite anomalies. In addition, it simulates an actual GPS clock anomaly case using a GPS simulator to analyze the limitations of the integrity monitoring function. It presents the brief test results using the proposed methods for detection and identification of satellite anomalies.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.1
• /
• pp.66-71
• /
• 2006

Lately teaching-learning system on the web site offers broad educational environment without any restriction of time and place to the teachers and learners. Using a web site in music education turned out to be effective. It provokes learner's interest and guides self-directed learning. Therefore, on this research, the web site for self-directed learning in music subject was designed and embodied as an assistant material of learning which is suitable for learner's level and demand As a result of using the web site in music class, there are some responses of students. First, there were 27 students positive responses$(79.4\%)$ of 34 students in the learning effect of the web site, and 25 students$(73.5\%)$ of 34 showed their will to use the web site continually if it is modified and supplemented. Second, some students answered that using this program in Diagnosis Evaluation and Formative Test could have an instant result, which was used for the material of feedback. Third, there was a positive evaluation of helping self-directed learning.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.1-17
• /
• 2011

In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.13 no.2
• /
• pp.149-156
• /
• 2005

In this paper, the VR(Virtual Reality) simulation system is developed to analyze driver's perceptive response on the ASV(Advanced Safety Vehicle). The ASV is the vehicle of next generation equipped with various warning systems. For the purpose, the VR simulation system consists of VR database, vehicle dynamic model, graphic/sound system, and driving system. The VR database which generates 3D graphic and sound information is organized for the driving reality. Mathematical models of vehicle dynamic analysis are constructed to represent the dynamic behavior of a vehicle. The driving system and the graphic/sound system provide a driver with the operation of a vehicle and the feedback of a driving situation. Also, the real-time simulation algorithm synchronizes the vehicle dynamic model with the VR database. To check the validity of the developed system, a simple scenario is applied to investigate driver's perceptive response time and vehicle acceleration on an emergency situation. It is confirmed that the proposed system is useful and helpful to design the FVCWS(Forward Vehicle Collision Warning System).

• Journal of Internet Computing and Services
• /
• v.19 no.4
• /
• pp.71-82
• /
• 2018

As the era of the $4^{th}$ industrial revolution began, it is possible to provide smart education by utilizing various new technologies. This paper included 6 steps to prove that the educational satisfaction of students' can be improved by applying the technology of the $4^{th}$ Industrial Revolution toward smart education. The first step is to review technologies of the $4^{th}$ industrial revolution that could enable smart education. The second step is to define areas that smart education should include by adopting technologies of the $4^{th}$ industrial revolution. The third step is to extract the keyword through literature review while the keyword can constitute the smart education for the defined areas. The fourth step is to present the research model by using the extracted keyword. The fifth step is to verify the proposed research model through questionnaires. The last step is to analyze the result of questionnaires to suggest better educational method. Consequentially, the purpose of this study is to verify the effectiveness of smart education by measuring students' expectation about smart education through questionnaire. As a result, students responded that the presented factors of smart education could maximize the effect of education by increasing the satisfaction of education. Therefore, it is necessary to utilize the technology of the $4^{th}$ Industrial revolution in the education field and apply the smart education method for better education.

• Journal of Digital Convergence
• /
• v.11 no.3
• /
• pp.345-352
• /
• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• International journal of advanced smart convergence
• /
• v.7 no.1
• /
• pp.42-47
• /
• 2018

Recently, as the demand for limited resources continues to rise and problems of resource depletion rise worldwide, the importance of renewable energy is gradually increasing. In order to solve these problems, various methods such as energy conservation and alternative energy development have been suggested, and biogas, which can utilize the gas produced from biomass as fuel, is also receiving attention as the next generation of innovative renewable energy. New and renewable energy using biogas is an energy production method that is expected to be possible in large scale because it can supply energy with high efficiency in compliance with energy supply method of recycling conventional resources. In order to more efficiently produce and manage these biogas, a biogas plant has emerged. In recent years, a large number of biogas plants have been installed and operated in various locations. Organic wastes corresponding to biogas production resources in a biogas plant exist in a wide variety of types, and each of the incoming raw materials is processed in different processes. Because such a process is required, the case where the biogas plant process is inefficiently operated is continuously occurring, and the economic cost consumed for the operation of the biogas production relative to the generated biogas production is further increased. In order to solve such problems, various attempts such as process analysis and feedback based on the feedstock have been continued but it is a passive method and very limited to operate a medium/large scale biogas plant. In this paper, we propose "CNN-based production yield prediction algorithm for increasing process efficiency of biogas plant" for efficient operation of biogas plant process. Based on CNN-based production yield forecasting, which is one of the deep-leaning technologies, it enables mechanical analysis of the process operation process and provides a solution for optimal process operation due to process-related accumulated data analyzed by the automated process.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.15 no.2
• /
• pp.23-30
• /
• 2009

The purpose of this study is to suggest planning directions of architectural integrates model by analysing the foreign case of integrated services for the aged and the disabled. For this study, we have researched on three different aspects. Three aspects are the element of barrier-free, architectural planning, information technology and operation. Based on the analysis of overseas examples, the good circumstance for both the disabled and the elder as one of member in the local societies could be defined like the following conditions: that is, (1) IT technology facilitates both barrier-free architecture and life to be easier and safer, and (2) both the disabled and the elder in local societies live together with the non-disabled in the same community. To realize this purpose, for a short-term plan, the system of feedback, examining the results of the research through the examples of housing plan, should be improved. In addition to, the system of public service, such as introducing the institutes for social educations, should be developed to result in the change of social insight. For a long-term plan, the whole society should have the research and plan of the unified model in a dimension of cities, where the network of public welfare is deeply associated with the system of the architecture, traffic, streets, and living-supporting information.

• The Journal of Korea Robotics Society
• /
• v.1 no.1
• /
• pp.17-24
• /
• 2006

Though the final goal of mobile robot navigation is to be autonomous, operators' intelligent and skillful decisions are necessary when there are many scattered obstacles. There are several limitations even in the camera-based tele-operation of a mobile robot, which is very popular for the mobile robot navigation. For examples, shadowed and curved areas cannot be viewed using a narrow view-angle camera, especially in bad weather such as on snowy or rainy days. Therefore, it is necessary to have other sensory information for reliable tele-operations. In this paper, sixteen ultrasonic sensors are attached around a mobile robot in a ring pattern to measure the distances to obstacles. A collision vector is introduced in this paper as a new tool for obstacle avoidance, which is defined as a normal vector from an obstacle to the mobile robot. Based on this collision vector, a virtual reflection force is generated to avoid the obstacles and then the reflection force is transferred to an operator who is holding a joystick to control the mobile robot. Relying on the reflection force, the operator can control the mobile robot more smoothly and safely. For this bi-directional tele-operation, a master joystick system using a hall sensor was designed to resolve the existence of nonlinear sections, which are usual for a general joystick with two motors and potentiometers. Finally, the efficiency of a force reflection joystick is verified through the comparison of two vision-based tele-operation experiments, with and without force reflection.