• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.52-55
• /
• 2009

With the recent development of virtual reality, it has been actively investigated to develop user interfaces for immersive interaction. Immersive user interfaces improve the efficiency and the capability of information processing in the virtual environment providing various services, and provide effective interaction in the field of ubiquitous and mobile computing. In this paper, we propose an virtual reality platform "My Workspace" which renders an 3D virtual workspace by using an immersive user interface. We develop an interface that integrates an optical see-through head-mounted display, a Wii remote controller, and a helmet with infrared LEDs. It estimates the user's gaze direction in terms of horizontal and vertical angles based on the model of head movements. My Workspace expands the current 2D workspace based on monitors into the layered 3D workspace, and renders a part of 3D virtual workspace corresponding to the gaze direction. The user can arrange various tasks on the virtual workspace and switch each task by moving his head. In this paper, we will also verify the performance of the immersive user interface as well as its usefulness with the usability test.

• The Journal of the Korea Contents Association
• /
• v.9 no.7
• /
• pp.390-401
• /
• 2009

For the reason that computer is the helping-system for complicated processes that we are not simply able to handle, it is needed to be taught and educated in many, and more various, ways. It will be a good way to lead the educatee by explaining basic algorithm and relevant theories in this aspect. And more creative and problem-solving factors have to be studied and applied to the current education system. To arouse interest and attention of the educatee, many efforts to make the concepts and theories that are still difficult to understand to the educatee. I would advise to convert the current algorithm element to interesting game types to get the educatee to be closer in easier and quicker ways. Accordingly, this is to create games reflecting a algorithm element to lead the educatee improve their creativities and problem-solving abilities.

• Journal of the Korea Computer Industry Society
• /
• v.6 no.5
• /
• pp.715-724
• /
• 2005

Recently many important systems that used to be operated in a closed environment are now providing web services and these kinds of web-based services are often an easy and common target of attacks. In addition, the great variety of web content and applications cause the development of new various intrusion technologies, while the misuse-based intrusion detection technology cannot keep the peace with the attacks and it seems to lack the capability to deal with such various new security threats, As a result it is necessary to research and develop new types of detection technologies that can detect newly developed attacks and intrusions as well as to be able to deal with previous types of exploits. In this paper, a HTTP traffic model is tested for its anomaly by using a HTTP request traffic pattern analysis and the field information analysis of the HTTP packet. Consequently, the HTTP traffic models by applying anomaly tests is designed and established.

• The Journal of the Korea Contents Association
• /
• v.16 no.5
• /
• pp.1-12
• /
• 2016

Internet of Things (IoTs) technologies have been computerized information generated from a variety of objects and humans, and have been applied to various fields by connecting via the Internet. In order to compensate for the marginal characteristics of IoT smart devices, such as low-power, limited processing and capacities, combining IoT and cloud computing technologies is now established itself as one of the paradigms. In this paper, we look at the definition, features and services of IoT and cloud computing technology, and we investigate and analyze the conversing needs of IoT and could computing, existing conversion paradigms, convergence cases, and platforms. In results, there are challenges to be solved, even though the cloud technologies complement a number of restrictions of IoT and offer various advantages such as scalability, interoperability, reliability, efficiency, availability, security, ease of access, ease of use, and reduced cost of deployment. We analyze the new research issues of convergence paradigm, and finally suggest a research challenges for convergence.

• The Journal of Society for e-Business Studies
• /
• v.17 no.3
• /
• pp.1-14
• /
• 2012

As the techniques of electronic and information are advancing, the computing power of a smart phone is becoming more powerful and the storage capacity of a smart phone is becoming larger. As the result, various new useful services are becoming available on smart phones. The context-aware service and mobile augmented reality have recently been the most popular research topics. For those newly developed services, identifying the object in the picture taken by the camera on the phone performs an extremely important role. So, many researches of identifying pictures have been published and most of them are based on the time consuming image recognition techniques. On the contrary, this paper introduces a very fast and effective method of identifying the objects on the photo making use of the sensor data obtained from the smart phone and electronic maps. Our method estimates the line of sight of the camera with the location and orientation information provided by the smart phone. Then it finds any element of the map which intersects the line of sight. By investigating those intersecting elements, our method identifies the objects on the photo.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.6
• /
• pp.15-21
• /
• 2009

The goal of wireless sensor networks is to collect sensing data on specific region over wireless communication. Sink node gathers all local sensing data, processes and transmits them to users who use sensor networks. Generally, senor nodes are low-cost, low power devices with limited sensing, computation and wireless communication capabilities. And sensor network applies to multi-hop communication on large-scale network. As neighboring sensor nodes have similar data, clustering is more effective technique for 'data-aggregation'. In cluster formation technique based on multi-hop, it is necessary that the number of cluster member nodes should be distributed equally because of the balance of cluster formation To achieve this, we propose a method to customize cluster member nodes for energy-efficiency in wireless sensor networks.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.43 no.3 s.345
• /
• pp.111-117
• /
• 2006

Developing a home network and a ubiquitous infrastructure requires various communication techniques and devices with more advanced hardware. With this development, increasing realtime access to multimedia data results in rapid degradation of qualify for multimedia playback. This paper presents a traffic allocation technique based on MPP(Media Preference for Presentation) that can steadily maintain multimedia playback quality by adaptively allocating streaming traffic requested from clients with different playback performances. Media preference is defined in accordance with content popularity and playback performance of client devices. Through experiments when requested stream data exceeds processing ability of a midea server, the proposed allocation technique shows 10% quality improvement comparing to the system without applying the proposed allocation technique.

• Journal of Engineering Education Research
• /
• v.8 no.4
• /
• pp.20-30
• /
• 2005

The purpose of this study is the development of SPMP(Student Portfolio Management Program) to aid performance of student program outcomes related to program educational objectives. SPMP is developed to manage accreditation conditions, student materials, academic results through system database and to provide synthetic data for engineering education through statistical process. There are three functions to construct SPMP. First, the function of student information management is organized on various input data related to academic program, resume, etc. Second, the function of accreditation condition management is identified by the evaluation of program outcomes, subject grades, etc. Third, the function of course work data management is made by the operation of the academic reports and productions. The result of this study is expected to effectively provide constructive directions for continuous management in accreditation of engineering education and to support student portfolio for submission in required application.

• Journal of the Korea Society for Simulation
• /
• v.15 no.4
• /
• pp.29-39
• /
• 2006

Sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. A number of routing protocols to transmit the data between the base station and sensor nodes have been proposed. Intanagonwiwat et al. proposed the directed diffusion in which the base station sends interest messages and waits for data from the nodes in the specific regions. Since the directed diffusion propagates every interest message to whole nodes in the network, it causes energy dissipation of nodes. In this paper, we propose a novel data propagation method, which limits the data transmission area according to a threshold value for reducing the energy consumption in the network. A fuzzy logic is exploited to determine the threshold value by considering the energy and density of all the deployed nodes. The simulation models are designed and implemented based on DEVS formalism which is theoretically well grounded means of expressing discrete event simulation models.

• Geotechnical Engineering
• /
• v.10 no.3
• /
• pp.79-96
• /
• 1994

A tunnel design expert system entitled NESTED is developed using the artificial neural network. The expert system includes three neural network computer models designed for the stability assessment of underground openings and the estimation of correlation between the RMR and Q systems. The expert system consists of the three models and the computerized rock mass classification programs that could be driven under the same user interface. As the structure of the neural network, a multi -layer neural network which adopts an or ror back-propagation learning algorithm is used. To set up its knowledge base from the prior case histories, an engineering database which can control the incomplete and erroneous information by learning process is developed. A series of experiments comparing the results of the neural network with the actual field observations have demonstrated the inferring capabilities of the neural network to identify the possible failure modes and the support timing. The neural network expert system thus complements the incomplete geological data and provides suitable support recommendations for preliminary design of tunnels in rock masses.