• Journal of Information Technology Services
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• v.12 no.3
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• pp.231-252
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• 2013

The Republic of Korea has made major strides in Information and Communication Technology (ICT) over the last five decades. After going through continuous efforts in e-Government and national informatization, Korea has become one of the global E-government leaders. Korea's E-government Development Index ranking assessed by the United Nations improved from 15th in 2001 to the top in 2010 and 2012 out of 192 countries worldwide, and its E-participation Index ranking was also ranked 1st in 2010& 2012. In addition, many of Korea's E-government practices until now have been introduced to the world as the best cases and received worldwide acknowledgement. The importance of official development aid/assistance (ODA) through informatization is especially gaining attention as Korea has joined the OECD Development Assistance Committee (DAC) and its status has significantly improved within international organizations. The Korean government has selected countries that have high potential in trade, economic, and E-government cooperation or those that are selected as ODA priority countries by the international community and has carried out various activities including ICT consultation, ICT Cooperation Center operation, and ICT learning programs. With joining the OECD DAC, Korea's overseas aid projects are expected to increase and be carried out in a more systematic manner. Also in the area of informatization, the importance of not only the overseas aid 'in ICT' itself but also the overseas aid 'through ICT' is increasing along with the expanding scale for more efficient and influential support. The Korean government's comprehensive reach of international projects in the ICT arena, aims to foster the global partnership for development by sharing and expanding the benefits of ICTs. The Korean government recognizes its advances and has endeavored to share them with others through participation in international forums and hosting of workshops.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.12
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• pp.123-129
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• 2014

In accordance with the development of various convergence devices, cameras are being used in many types of the systems such as security system, driver assistance device and so on, and a lot of people are exposed to these system. Therefore the system should be able to recognize the human behavior and support some useful functions with the information that is obtained from detected human behavior. In this paper we use a machine learning approach based on 2D image and propose the human behavior pattern recognition methods. The proposed methods can provide valuable information to support some useful function to user based on the recognized human behavior. First proposed one is "phone call behavior" recognition. If a camera of the black box, which is focused on driver in a car, recognize phone call pose, it can give a warning to driver for safe driving. The second one is "looking ahead" recognition for driving safety where we propose the decision rule and method to decide whether the driver is looking ahead or not. This paper also shows usefulness of proposed recognition methods with some experiment results in real time.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.213-225
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• 2007

This study confirms Busan area medium and small enterprises' position and analyzed present condition and actual conditions of swing Korea measure and consumer's attitude about measure in general circumstance that our country medium and small enterprises is placed in information. According to result that analyze Busan area medium and small enterprises' information level, Busan was expose by whole country average low including the electron commercial transaction rate. When consider weight that Busan economy occupies in gross domestic product, information differential of medium and small enterprises of Busan area is subject that must improve urgently and seriousness point is true that information differential of manufacturing industry is main factor more. Therefore, urgent agenda should be the activation of manufacturing industry information assistance measure and extension of current manufacturing technique information assistance business for Busan economy. Also, at problem solution progress, Busan is thought that must come looking for seat role actively.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.532-533
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• 2001

신뢰성 있는 멀티캐스트의 확장성을 얻기위해 사용할 수 있는 한 가지 방법은 계층구조를 이용하는 것이다. 계층구조는 라우터가 가진 정보를 이용하는 RAH(Router Assistance Hierarchy)와 라우터가 가진 정보를 이용하지 않는 ALH(Application Level Hierarchy)를 사용해서 구성될 수 있다. 라우터는 하부 네트워크의 구성 정보를 가지고 있으므로 RAH 가 더 좋은 성능을 내리라 예측할 수 있다. 본 논문은 이러한 가정아래 Router Assisted Hierarchy 와 Non Router Assisted Hierachy 를 비교한다. 본 논문의 네트워크 모델 구현시 router assistance 를 제공하는데 필요한 cost 와 hierarchy 를 구성하는데 필요한 overhead는 고려치 않았다.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.37-44
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• 2015

In this paper, we propose the assistance method to enable safe driving through analysis of dangerous driving behavior using real-time alarm by vehicle speed, azimuth data and smartphone. For this method, smartphone is receiving driving data from digital tachograph using communication. Safe driving habit is a very important issue to commercial vehicle because that driver's long time driving than other vehicle type driver. Existing methods are very inefficient to improve immediately dangerous driving habits during driving because proceed driving behavior analysis after the vehicle operation. We propose the new safe driving assistance method that can prevent traffic accidents by real-time and improve the driver's wrong driving habits through real-time dangerous driving behavior analysis and notification the result to the driver. We have confirmed that the method in this paper will help to improve driving habits and can be applied through the proposed method implementation and simulation experiment.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.956-959
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• 2011

When SOAP message in Web Services has sensitive and important data, it is necessary to protect the message from XML rewriting attacks. These attacks create a foundation for typical faults in SOAP message and make it vulnerable to use in Web Service environment. Currently, Web Services middleware offers limited functions to detect these faults and possibly fix them. In this paper, we propose a Security Description Assistance which identifies and fixes typical faults in SOAP messages. Our system adapts simulation-based approach, which allows system to self-optimize its performance in different conditions and thus improve the reliability of Web Services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.637-639
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• 2021

As autonomous driving research is actively progressing, lane detection is an essential technology in ADAS (Advanced Driver Assistance System) to locate a vehicle and maintain a route. Lane detection is detected using an image processing algorithm such as Hough transform and RANSAC (Random Sample Consensus). This paper implements a linear shape detection algorithm using OpenCV on Raspberry Pi 3 B+. Thresholds were set through OpenCV Gaussian blur structure and Canny edge detection, and lane recognition was successful through linear detection algorithm.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.498-508
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• 2008

TECA(Terminal Cabin) has train information, fault display, maintenance function and training function for driver, as sub-device of Seoul-Pusan Express train's on-board computerized device. Concerning KTX train's driving, signal driving is required for high speed driving, and it is true that we have difficulty in troubleshooting and acquisition of basic information through long train and one-man driving. Therefore, rapid and correct processing about various information and TECA device for maintenance are indispensable for its utilization. But there is not study example in hardware, maintenance about this device and device development according to new requirements. Therefore, this study will help understanding of driver assistance terminal device's maintenance performance development, describing TECA's basic functions necessary for device development and its requirements. Accordingly, I suppose that this thesis will be utilized to complete specification, necessary for new driver assistance terminal device development.

• The Journal of Korea Robotics Society
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• v.13 no.1
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• pp.38-44
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• 2018

In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

• Journal of Engineering Education Research
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• v.27 no.4
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• pp.3-11
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• 2024

This study classified domestic and international systems by type, presenting their key features and examples, with the aim of outlining future directions for system development and research. AI-based learning assistance systems can be categorized into instructional-learning evaluation types and academic recommendation types, depending on their purpose. Instructional-learning evaluation types measure learners' levels through initial diagnostic assessments, provide customized learning, and offer adaptive feedback visualized based on learners' misconceptions identified through learning data. Academic recommendation types provide personalized academic pathways and a variety of information and functions to assist with overall school life, based on the big data held by schools. Based on these characteristics, future system development should clearly define the development purpose from the planning stage, considering data ethics and stability, and should not only approach from a technological perspective but also sufficiently reflect educational contexts.