• The Korean Journal of Health Service Management
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• v.7 no.2
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• pp.101-111
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• 2013

To develop the Korean-Version-Improvement program for ordinary people, we investigate how Korean-High-Intelligent people use their cognitive function, intellectual capacity and Intelligent Quotient test. Using Mensa iq test, we classify intelligent examination tool into various components; visual, geometrical component and cognitive interpretation component. Also we organized each component, got database of intelligent subjects sample, classified itemized availability. Based on these things, we prove efficiency of intelligent examination tool. We found out that high intelligent people showed high Intelligent Index using visual cognitive stimulation with cognitive function when subjects were exposed to certain situation; solving the problem. This intelligent examination tool is low price and safe and easily carrying out with personal computer. If we develop intelligence quotient examination customized with mental retardation populations, a variety of subjects will improve their cognition with efficiency and inexpensively.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.49.1-49
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• 2002

$\textbullet$ Intelligent Space 1. Optimal Camera Arrangement 2. People Tracking 3. Physical Robot 4. Robot Control 5. People Following Robot $\textbullet$ Initial stage for making high-level human robot interaction. http://dfs.iis.u-tokyo.ac.jp/∼leejooho/ispace/.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.107-114
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• 2014

The purpose of this study is to explore a correlation model of traffic safety and personality in elderly and non-elderly people. The correlation model is constructed by a factor regression analysis with latent factors and items related to traffic safety consciousness. As a result, it is found that non-elderly people with positive, active, perfectionistic, and unforgiving personality are likely to speed, have a high chance to be involved in traffic accidents, and tend to give low scores to traffic conditions. However, elderly people who are highly educated are likely to give high scores to traffic conditions and do not speed. Instead, elderly people become more likely to be involved in traffic accidents when they are engaged in more social activities. The results could contribute to developing traffic safety education and policy that is better customized to the specific needs of different groups of road users.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.4
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• pp.93-101
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• 2009

As the industrial society is developing wars, terrors, and vicious crimes is getting increased. These dangerous factors are caused of casualty and subversiveness of social order. Such vicious crimes lead people to feeling of insecurity. That is why naturally people want to build and inspect strengthened security system. CCTV camera system which can be said as the most popular security system is being installed in public places has large number of floating population. This trend is required to develop the intelligent video security technology and propagate it since the importance of security technology is getting high. This thesis will be described regarding the trend of the intelligent surveillance camera and the scenario.

• Proceedings of the KSME Conference
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• 2003.11a
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• pp.1620-1624
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• 2003

Recently, the height of building is more high and the number of moving people is increasing in the building. So we want to be necessary more effective vertical moving tool. Most of high intelligent building can satisfy tills need using many elevators. Many elevators system should need to distribute and distribute many elevator effectively. This paper effectively use many elevators to reduce customer' waiting time and propose the model of mathematical group control system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.100-111
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• 2011

u-City(ubiquitous city) pursuing competitiveness of city and improvement the quality of life needs high cost to build and operate it. But not all people get a benefit by u-City. It is important that low-income people have experienced information divide gain practical benefits in u-City. In this paper, first we selected suitable item of u-service for low-income people and then drew a order of priority using AHP method about legal and institutional conditions, possibility of technical realization, and the generalization. As a result, we prioritize to u-service for low-income people, that is the order is prevention for missing a dotard, safety of street, and information providing about job and employment.

• Structural Engineering and Mechanics
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• v.42 no.5
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• pp.747-760
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• 2012

In today's online social structure, people with electronic devices or network have been closely related to whether any of the activities, work, school, etc., is related to electronic devices, intelligent robot, and network control. The best mobility and the first rich media of these products as smart phones, smart phones rise rapidly in recent years, high speed processing performance and high free way to install software, deeply loved by many business people. However, not only for smart phone business aspects of the use, but also can engage in education of the teachers or the students are learning a great help. This study construct OCR-assisted learning software written by the JAVA made, and the installation is provided by the Android mobile phone users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1671-1686
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• 2022

Face manipulation tools represented by Deepfake have threatened the security of people's biological identity information. Particularly, manipulation tools with deep learning technology have brought great challenges to Deepfake detection. There are many solutions for Deepfake detection based on traditional machine learning and advanced deep learning. However, those solutions of detectors almost have problems of poor performance when evaluated on different quality datasets. In this paper, for the sake of making high-quality Deepfake datasets, we provide a preprocessing method based on the image pixel matrix feature to eliminate similar images and the residual channel attention network (RCAN) to resize the scale of images. Significantly, we also describe a Deepfake detector named Cascaded-Hop which is based on the PixelHop++ system and the successive subspace learning (SSL) model. By feeding the preprocessed datasets, Cascaded-Hop achieves a good classification result on different manipulation types and multiple quality datasets. According to the experiment on FaceForensics++ and Celeb-DF, the AUC (area under curve) results of our proposed methods are comparable to the state-of-the-art models.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.2
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• pp.113-121
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• 2014

A subsea oil production system must be safely operated for 20-30 years after being installed. Because of the severe conditions of the subsea environment, such as extreme high pressure, low visibility, the possibility of unexpected impact by any object, and corrosion by seawater, subsea oil production systems should be monitored by subsea data logger systems and remotely operated vehicles to check for abnormal vibration and leakage to prevent a catastrophic accident. Because of the severity of subsea environmental conditions and the dominance of a few companies in the market, many people have thought that it would be difficult to develop a subsea data logger system. The primary objectives of the study described in this paper were to analyze existing subsea data logger systems to establish the requirements for a subsea data logger system, implement a prototype subsea data logger system, and conduct a test of the prototype subsea data logger system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.4
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• pp.277-281
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• 2006

Cyber counseling, one of the most compatible type of consultation for the information society, enables people to reveal their mental agonies and private problems anonymously, since it does not require face-to-face interview between a counsellor and a client. However, there are few cyber counseling centers which provide high quality and trustworthy service, although the number of cyber counseling center has highly increased. Therefore, this paper is intended to enable an appropriate consultation for each client by analyzing client propensity using Bayesian variable selection. Bayesian variable selection is superior to stepwise regression analysis method in finding out a regression model. Stepwise regression analysis method, which has been generally used to analyze individual propensity in linear regression model, is not efficient since it is hard to select a proper model for its own defects. In this paper, based on the case database of current cyber counseling centers in the web, we will analyze clients' propensities using Bayesian variable selection to enable individually target counseling and to activate cyber counseling programs.