• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.123-129
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• 2009

Ubiquitous home is emerging as the future digital home environments that provide various ubiquitous home services like u-Life, u-Health, etc. It is composed of some home appliances and sensors which are connected through wired/wireless network. Ubiquitous home services become aware of user's context with the information gathered from sensors and make home appliances adapt to the current home situation for maximizing user convenience. In these context-aware home environments, it is the one of significant research topics to predict user behaviors in order to proactively control the home environment. In this paper, we propose Multi-Level prediction algorithm for context-aware services in ubiquitous home environment. The algorithm has two phases, prediction and execution. In the first prediction phase, the next location of user is predicted using tree algorithm with information on users, time, location, devices. In the second execution phase, our table matching method decides home appliances to run according to the prediction, device's location, and user requirement. Since usually home appliances operate together rather than separately, our approach introduces the concept of mode service, so that it is possible to control multiple devices as well as a single one. We also devised some scenarios for the conceptual verification and validated our algorithm through simulations.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.367-376
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• 2022

In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person's profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

• Journal of Game and Entertainment
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• v.1 no.1
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• pp.39-46
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• 2005

Communication is an element of the story-telling in processing of the game as well as basic role of information exchange. In case of communication-based adventure games which are processed through communication, the communication is playing the role beyond its basic role up to providing a limited information on quests and solutions in Massively Multiplay Online Role Playing Game(MMORPG). Even though the communication is one of most important element for absorbtion into game, current communications with Non Playable Characters in games are just monotonous event-driven method following pattern based on prepared game scenario. In this research, we have analyzed natural language processing systems which are being used in the area of Artificial Intelligence for the purpose of more realistic communications in games, and have studied methods to apply these communications on games.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.29-35
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• 2017

In this paper, we describe certificate policy and characteristics in cooperation condition with Cooperative intelligent transport system and autonomous driving vehicle. Among the authentication functions of the vehicle, there is a pseudonym authentication function. This pseudonymity is provided for the purpose of protecting the privacy of information that identifies the vehicle driver, passenger or vehicle. Therefore, the purpose of the pseudonym certificate is to be used for reporting on BSM authentication or misbehavior. However, this pseudonym certificate is used in the OBE of the vehicle and does not have a cryptographic key. In this paper, we consider a method for managing a pseudonym authentication function, which is a key feature of the pseudonym certificate, such as location privacy protection, pseudonym function, disposition of linkage value or CRL, request shuffling processing by registry, butterfly key processing, The authentication policy and its characteristics are examined in detail. In connection with the management of pseudonymes of the vehicle, the attacker must record the BSM transmission and trace the driver or vehicle. In this respect, the results of this study are contributing.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.43-50
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• 2011

The monitoring system for link travel speed using taxi probe is one of key sub-systems of ITS. Link travel speed collected by taxi probe has been widely employed for both monitoring the traffic states of urban road network and providing real-time travel time information. When sample size of taxi probe is small and link travel time is longer than a length of time interval to collect travel speed data, and in turn the missing state is inevitable. Under this missing state, link travel speed data is real-timely not collected. This missing state changes from single to multiple time intervals. Existing single interval prediction techniques can not generate multiple future states. For this reason, it is necessary to replace multiple missing states with the estimations generated by multi-interval prediction method. In this study, a multi-interval prediction method to generate the speed estimations of single and multiple future time step is introduced overcoming the shortcomings of short-term techniques. The model is developed based on Non-Parametric Regression (NPR), and outperformed single-interval prediction methods in terms of prediction accuracy in spite of multi-interval prediction scheme.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.99-109
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• 2010

The U-City comprehensive plan has been settled on November in 2009 by U-City law which was enacted in 2008. On this, the U-City plan's framework which local governments established has been set. However, those who work for U-City in local governments and private sector would be fallen into confusion because they have not fully understood yet the concept of planning system in the U-City plan. In this condition of the early stage, some problems that are overlapping investments and lack of coordination between plans may occur. On this background, it is needed to understand the U-City plan's status and role by figuring out the relationship between U-City plan and other related plans. The goal of this paper is to suggest implications that are differences and similarities for coordination among the plans through a comparison with detailed instructions and laws related to U-City planning.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.4
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• pp.479-488
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• 1999

인터넷의 성장과 더불어 수많은 응용시스템들이 인터넷 기반 시스템으로 바뀌고 있다. 특히, 인터넷 기반 전문가시스템은 다양한 구조와 방법으로 설계될 수 있고 이미 제작되었던 수많은 인터넷 기반 전문가시스템들은 그 나름대로의 장단점을 가지고 있다. 본 연구는 특정 전문가시스템의 개발이 아니라 WWW(World Wide Web)을 사용자 인터페이스로 이용할 수 있는 전문가시스템 쉘에 관한 연구이다. 본 시스템은 WWW 하부구조에 대한 의존성을 제거, 클라이언트와 네크워크에 부담 격감, HTML과 부합하는 텍스트에 기초한 통신과 같은 장점 외에 중앙 집중적 다중 사용자 접근 관리 기능을 제공한다. 본 시스템은 다중사용자를 위한 서버/클라이언트 환경 구축을 위해 소켓을 이용하여 큐잉(queueing)과 직렬화(serialization)를 해결하고 비연결 지향적인 WWW의 특성으로 인한 사용자 관리의 어려움은 사용자의 IP 주소와 Timer를 이용한 휴무기간 검사를 이용하여 해결한다.Abstract The growth of internet drives many applications into internet-based systems. Internet-based expert systems can be designed with various concepts and methodologies, and they have their own merits and demerits. This papers is a study on a development of not expert system itself but expert system shell which is able to use WWW(World Wide Web) as user interface. The suggested system supports functions on multiuser management controlled by a server system as well as independence on development environments, minimization of the load for clients and network, and text-based communications such as HTML. The system uses socket, which solves problems of queuing and serialization, in order to construct multiuser server/client environmen and also the system solves the non-connective property of WWW which makes it difficult to control users and processes by using IP address and idle time which is supported by the timer.

• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.47-54
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• 2009

Automatic object recognition in 3D measuring data is of great interest in many application fields e.g. computer vision, reverse engineering and digital factory. In this paper we present a software tool for a fully automatic object detection and parameter estimation in unordered and noisy point clouds with a large number of data points. The software consists of three interactive modules each for model selection, point segmentation and model fitting, in which the orthogonal distance fitting (ODF) plays an important role. The ODF algorithms estimate model parameters by minimizing the square sum of the shortest distances between model feature and measurement points. The local quadric surface fitted through ODF to a randomly touched small initial patch of the point cloud provides the necessary initial information for the overall procedures of model selection, point segmentation and model fitting. The performance of the presented software tool will be demonstrated by applying to point clouds.

• The KIPS Transactions:PartA
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• v.8A no.4
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• pp.429-438
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• 2001

GPS (Global Positioning System) is the most ideal navigation system which can be used on the earth irrespective of time and weather conditions. GPS has been used for various applications such as construction, survey, environment, communication, intelligent vehicles and airplanes and the needs of GPS are increasing in these days. This paper deals with the design and implementation of the RTOS (Real-Time Operating System) for a GPS navigation computer in the GPS/INS integrated navigation system. The RTOS provides the optimal environment for execution and the base platform to develop GPS application programs. The key facilities supplied by the RTOS developed in this paper are priority-based preemptive scheduling policy, dynamic memory management, intelligent interrupt handling, timers and IPC, etc. We also verify the correct operations of all application tasks of the GPS navigation computer on the RTOS and evaluate the performance by measuring the overhead of using the RTOS services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.272-275
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• 2022

Large-scale online platforms such as MOOCs-Massive Open Online Courses, which provide a variety of educational contents, have provided a learning environment that allows students to freely access and learn anytime and anywhere. Currently, the proportion of online lectures and home-based learning is increasing, and portfolio or experience-based learning such as bootcamp, field activities, and team project-based group learning are also being actively carried out for educational outcomes. At present, interest in nano or microdegree focused on core technology in units of hours or credits is increasing significantly because such strategic intensive education enables effective learning in terms of continuity and efficiency of education. In an era of large changes in job market due to the reorganization of the industrial structure by new technologies, intensive education in specialized new technology fields such as smart mobility, big data, and artificial intelligence is much more conducive to finding a job. With this reason it is attracting attention as an alternative to lifelong learning are receiving In this paper we propose an educational platform that can efficiently and effectively support the purpose learning for the personalized microdegree education in the online learning era.