• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.444-448
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• 2008

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2:image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.40-46
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• 2016

The internet allows the information to flow at anywhere in anytime easily. Unfortunately, the network also becomes a great tool for the criminals to operate cybercrimes such as identity theft. To prevent the issue, using a very complex password is not a very encouraging method. Alternatively, keystroke dynamics helps the user to solve the problem. Keystroke dynamics is the information of timing details when a user presses a key or releases a key. A machine can learn a user typing behavior from the information integrate with a proper machine learning algorithm. In this paper, we have proposed mini-batch ensemble (MIBE) method which does the preprocessing on the original dataset and then produces multiple mini batches in the end. The mini batches are then trained by a machine learning algorithm. From the experimental result, we have shown the improvement of the performance for each base algorithm.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.401-406
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• 2005

According to the ubiquitous times that is new important topic, the miniature is demanded in the industry at large. The high accuracy and accumulation make the assembly equipment and the production equipment huge from the size of view. The huge equipment brings about the expensive price of the equipment, a low flexibleness and a low productivity. It makes the manufacturing equipment huge that the accuracy only depends on the mechanism stiffness. The position of two assembled parts is transformed with the global coordinate system whose datum is machine coordinate system. The purpose of this research is invention of the module that can adjust one part to the order part automatically. The module that has a function of self adjustment only takes a stiffness in assemble direction and can be moved freely in the other direction so this function makes a self adjustment. The self adjustment module reduces the tact time and also diminishes the inferior goods and makes reconfigurable machine in $\mu-part$ assembly.

• IE interfaces
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• v.16 no.1
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• pp.54-62
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• 2003

With the ubiquitous use of the Internet in daily business activities, most of modern firms are keenly interested in customer's behaviors on the Internet. That is because a wide variety of information about customer's intention about the target web site can be revealed from IP address, reference address, cookie files, duration time, all of which are expressing customer's behaviors on the Internet. In this sense, this paper aims to accomplish an objective of analyzing a set of exemplar web log files extracted from a specific P2P site, anti identifying information about customer segmentation strategies. Major web mining technique we adopted includes a machine learning like C5.0.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1461-1464
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• 2007

본 연구팀은 유비쿼터스 환경에서 다양한 분야의 콘텐츠를 보다 쉽게 개발하고 실행할 수 있는 통합 소프트웨어 개발 솔루션인 유비쿼터스 게임 플랫폼(Ubiquitous Game Platform)을 개발하였다. 유비쿼터스 게임 플랫폼은 가상기계 방식으로써 플랫폼에 독립적어서 유비쿼터스 환경의 기기에 탑재가 수월한 장점을 가진다. 본 논문에서는 유비쿼터스 게임 플랫폼에서 다양한 콘텐츠의 실행과 멀티 스레딩을 지원하는 유비쿼터스 가상기계(u-VM)를 설계하고 구현하였다. MS의.NET 플랫폼과 SUN의 JVM이 C/C++나 Java 언어 하나만을 지원하는데 반해 본 연구에서 제시한 u-VM은 다양한 유비쿼터스 기기에 탑재되어 C/C++, Java 언어로 작성된 다양한 모든 종류의 어플리케이션을 실행한다. u-VM은 SEF(Standard Executable Format) 실행 파일을 입력으로 받아 실행하며, SEF 로더와 인터프리터, 내장 라이브러리, 실행 환경으로 구성되어 있다. 실행 환경에서는 메모리를 관리하고 예외를 처리하며 스레드 스케줄러를 통해 멀티스레딩 기능을 제공 한다.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.948-951
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• 2008

Ubiquitous sensor network (USN) based on ZigBee communication protocol has been used in various application fields, such as home-network, intelligent building and machine, logistics, environmental monitoring, military field, security field and etc. The ZigBee is targeted at radio-frequency application that require a low data rate, long battery life and secure network. Especially, the USN system can be applied efficiently to building-indoor where the complex geometry is adopted. In this study, all 90 points of railway cabin indoor were monitored for temperature and humidity using USN technology. All sensors were pre/post-calibrated and the temperature/humidity change were analyzed in a railway cabin in real-time. The results would be useful to develop the cabin heating, ventilating and air conditing (HVAC) system to meet all passengers' thermal comfort regardless of their seat position.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.301-308
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• 2009

In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.64-76
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• 2009

Recently, the ubiquitous environment and the practical technology associated with it become more popular topic along with the rapid development of wireless technologies. The necessity of the automated system based on the ubiquitous environment has been increasing when the concept of the ubiquitous is integrated into the fields of existing IT. Also, the necessity of formulating a power-saving plan on large buildings and public institutions is gathering strength because of a raise in exchange rates and high oil prices. In this paper, to efficiently manage the power consumption of the electronic machine such as electric lights, electric heaters, and air conditioners in a building, power-saving manage- ment system using RFID/USN technologies is proposed. Proposed system controls the electric machine and monitor it's condition by RFID and collects the real time information about the surrounding and the power consumption of the electric machine by USN. Especially, proposed system analyzes the real time information and supports the intelligent scheduler with the best power-saving. Finally, this paper shows the difference between proposed system and existing system and establishes thereality of our system through experiments in variety environments.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.526-531
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• 2009

Recently, many interests on the ubiquitous environment and the practical technologies associated with it have been significantly increasing along with the rapid development of wireless technologies. The development of the automated systems based on the ubiquitous environment is required as the concept of the term "ubiquitous" is integrated into the fields of existing IT. In this paper, we design and implement a power-saving management system using RFID/USN technologies. It efficiently manages the power consumption of the electronic machine such as electric lights, electric heaters, and air conditioners in a building. The proposed system controls the electronic machines and monitors their status by RFID and collects the real time information about the surroundings and power consumption of the electronic machines by USN. Especially, it analyzes the real time information and supports the intelligent scheduler with the best power-saving. Finally, this paper shows the difference between the proposed system and the existing systems and the reality of our system through the real time user interface about the power-saving management.

• International Commerce and Information Review
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• v.9 no.2
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• pp.103-120
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• 2007

The knowledge based economy requires more and more people to learn new knowledge and skills in a timely and effective manner. These needs and new technology such as computer and Internet are fueling a transition in e-learning. According to specialist's opinion, imagination experience studying is generalized, and learning environment that language barrier by studying, multi-language studying Machine that experience past things that disappear through simulation, and travel area, and experience future changed state disappears is forecasting to come. This is previewing finally that it may become future education that education and IT, element of entertainment is combined. Already, became story that argument for party satellite of e-Learning existence passes one season already. e-Learning is utilized already in all educations that we touch by effectiveness by corporation's competitive power improvement and implement of lifelong education in educational institutions through present e-Learning. It is obvious that when see from our viewpoint which is defining e-Learning by one industry and rear by application to education as well as one new growth power about these, e-Learning industry becomes very important means that can solve dilemma of growth real form. Only, special quality of digital industry that e-Learning is being same with other digital industry and repeat putting out a fire rapidly, and is repeating sudden change that these evolution is not gradual growth of accumulation and improvement of technology that is appearing consider need to. In the meantime, we need to observe about evolution of Information Technology. Because there is some scholars who e-Learning's concept foresees to evolve by u-Learning.(although, a person who see that these concept is not more in marketing terminology by some scholars' opinion is). This u-Learning's concept means e-Learning that take advantage of ubiquitous technology as Ubiquitous-Learning's curtailment speech. Ubiquitous, user means Information-Communication surrounding that can connect to network freely regardless of place without feeling network or computer. There is controversy about introduction time regarding these direction, but e-Learning is judged to evolve by u-Learning necessarily. Because keep in step and age that study all contents that learner wants under environment of 3A (any time, any whrer, any device) by individual order thoroughly is foreseen to come in ubiquitous learning environment that approach more festinately.