• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.147-154
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• 2012

The higher thinking skills, such as creativity and problem-solving about a given problem, are difficult to assess and diagnose. For an accurate diagnosis of these higher thinking abilities, we need to fully observe learner's problem-solving process or learner's individual reports. However, in an online learning or virtual class environments, evaluation of learner's problem-solving process becomes more difficult to diagnose. The best way to solve this problem is through reporting by tracking learner's actions when he tries to solve a problem. In this study, we developed a module which can evaluate and diagnose student's problem-solving ability by tracking actions in MS-Office suite, which is used by students to solve a given problem. This module performs based on the learner's job history through user tracking. To evaluate the effectiveness of this diagnostic module, we conducted satisfaction survey from students who were preparing the actual MOS exams. As a result, eighty-one (81) of the participants were positive on the effectiveness of the learning system with the use of this module.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.181-186
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• 2018

With progress in industrialization, facilities for generating, delivering, and receiving high levels of electric power are in great demand. The scale of electric power equipment is increasing in both size and complexity. This has contributed to the development of our modern, high-tech and information-based society. However, if the generation of electric power is suspended due to unexpected accidents at power facilities or power stations, a range of equipment the operations of which are dependent on electric power can be damaged, causing substantial socioeconomic losses in an industrial society. A great deal of time and money would be expended to repair damaged facilities at a power station, causing enormous economic loss. In order to detect the deterioration processes of power cables, and to prevent the destruction of power cables, the operation status of power cables should be monitored on a regular basis. We studied the method in order to improve accuracy and reliability for diagnosising the junction where accident occurs frequently. We present the method of data acquisition and statistical processing.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.273-282
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• 2019

In this study, we have look through the national progress of computer science education in South Korea and analyzed the main subjects and contents of each period. We suggests the ways to evolve the current computer science education in terms of class hours for computer science education, hierarchical instructions, and the limitation of current national curriculum. In South Korea, it has been leaded the computer science education in the world since the it was promoted in earnest since 1995. Based on the recently revised national curriculum, South Korean government are taking efforts to nurture a leader through computer science education in terms of the students' future skills. However, it should be promoted to strengthen the ability of not only problem-solving ability through programming education, but also balanced computing and digital literacy through enhancing the ICT skills. In order to improve the curriculum of computer science education in elementary school of South Korea, a sufficient class hours of computer science education should be secured first.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1302-1309
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• 2021

Recently, the Korean Government announced the Korean New Deal as a national development strategy to overcome the economic recession from the pandemic crisis and lead the global action against structural changes. In the Korean New Deal, the Green New Deal related with the energy aims to achieve net-zero emissions and accelerates the transition towards a low-carbon and green economy. To this end, the government plans to promote an increased use of renewable energy in the society at large. This paper introduces a binary power generation using unused low-grade thermal energy to accelerate the transition towards a low-carbon and green economy and examines a control system based on Neural Network which is capable maintenance at low-cost by an unmanned automated operation in actual power generation environment. It is expected that the realization of binary power generation accelerates introduction of renewable energy along with solar and wind power.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.1-6
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• 2020

Road movement pollutant air environment big data is a link between real-time traffic data such as vehicle type, speed, and load using AVC, VDS, WIM, and DTG, which are always traffic volume survey equipment, and road shape (uphill, downhill, turning section) data using GIS. It consists of traffic flow data. Also, unlike general data, a lot of data per unit time is generated and has various formats. In particular, since about 7.4 million cases/hour or more of large-scale real-time data collected as detailed traffic flow information are collected, stored and processed, a system that can efficiently process data is required. Therefore, in this study, an open source-based data parallel processing performance optimization study is conducted for the visualization of big data in the air environment of road transport pollution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.529-535
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• 2020

It is important to secure the driver's external field view in armored vehicles surrounded by iron armor for preparation for the enemy's firepower. For this purpose, a 360 degree rotatable surveillance camera is mounted on the vehicle. In this case, the key idea is to recognize the head of the driver wearing a helmet so that the external camera rotated in exactly the same direction. In this paper, we introduce a method that uses a MEMS-based AHRS sensor and a illuminance sensor to compensate for the disadvantages of the existing optical method and implements it with low cost. The key idea is to set the direction of the camera by using the difference between the Euler angles detected by two sensors mounted on the camera and the helmet, and to adjust the direction with illuminance sensor from time to time to remove the drift error of sensors. The implemented prototype will show the camera's direction matches exactly in driver's one.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.942-948
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• 2020

In this paper, we propose a clustered algorithm that possible more efficient user distinction within clustering using context-aware attribute information. In typically, the data provided to classify interrelationships within cluster information in the process of clustering data will be as a degrade factor if new or newly processing information is treated as contaminated information in comparative information. In this paper, we have developed a clustering algorithm that can extract user's recognition information to solve this problem in using K-means algorithm. The proposed algorithm analyzes the user's clustering attributed parameters from user clusters using accumulated information and clustering according to their attributes. The results of the simulation with the proposed algorithm showed that the user management system was more adaptable in terms of classifying and maintaining multiple users in clusters.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.679-688
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• 2022

This paper focuses on the usability of smart healthcare based on the development of Information and Communication Technology(ICT), briefly introduces concepts and the current status related to smart healthcare, and discusses strategies and future tasks in the field of mental health welfare in the COVID-19 era. This paper first introduces the smart healthcare programs of the National Mental Health Center and the Seoul Mental Health Welfare Center. Second, we introduce various smart healthcare programs used in Germany, China, the U.S., and Australia, review the actual examples, and examine both public and private responsiveness. Finally, we examine the possibility of using smart healthcare in the mental health social work system in South Korea and examine future tasks and implications. This paper would contribute to the growth of world-class mental health social work services.

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.2
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• pp.115-122
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• 2020

In Korea, the agricultural machinery market has been generally on the rise, and particularly the demand for the diverse agricultural machine is increasing due to the radical changes in agriculture, such as a high supply of the advanced and automated agricultural machine and an increase in aged or female farmer population. Therefore, this study analyzes the technical trends in the precision agricultural machine domestically and globally to guide the direction of development of the ICT-based machine. The investigation of the precision agricultural machine in this study focuses on the production technology through analyzing the trends in sensor-related technology, the decision-making research, variable treatment technology, and academic publication. The result shows that information processing technology including the sensor and the decision-making requires various measurement factors and the established technologies are continually being developed.

• Journal of People, Plants, and Environment
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• v.24 no.3
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• pp.257-266
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• 2021

Background and objective: Vertical smart farm (VSF) is an alternative that contributes to solving various problems such as climate change and food shortage. This study focused on the types and awareness of VSF to introduce and diffuse VSF. We aimed to investigate the types of VSF and citizens' awareness on VSF. We analyzed 1) where the smart farm technology could be implemented on a building; 2) what citizens think about VSF; and 3) suggested what is most necessary for the introduction and diffusion of VSF in the future based on citizens' perception. Methods: VSF types were investigated through case studies on VSF in Korea and overseas. Citizens' perception on VSF was investigated through a questionnaire survey. A statistical analysis was conducted with the survey results for implications of the introduction and diffusion of VSF. Results: Four types of VSF were derived: rooftop farms, facade farms, indoor farms, and farms using the whole building. The survey showed that 29.2%, 27.8%, and 22.2% of respondents knew well about urban agriculture, smart farms, and vertical smart farms, respectively. Respondents answered that improving awareness is the most important factor to introduce VSF. According to the statistical analysis, it was determined that education and promotion of the necessity of VSF would be important to diffuse the VSF. Conclusion: VSF can be a solution to a variety of problems we face. The results of this study suggest a direction for the introduction and diffusion of VSF. In order to introduce VSF in the future, additional studies must be conducted on the legal system.