• Journal of Digital Contents Society
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• v.14 no.4
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• pp.589-596
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• 2013

With the increase of social crime rate, the interest on the intelligent security system is also growing. This paper proposes a detection system of monitoring whether abnormal behavior is being carried in the images captured using CCTV. After detection of an object via subtraction from background image and morpholgy, this system extracts an abnormal behavior by each object's feature information and its trajectory. When an object is loitering for a while in CCTV images, this system considers the loitering as an abnormal behavior and sends the alarm signal to the control center to facilitate prevention in advance. Especially, this research aims at detecting a loitoring act among various abnormal behaviors and also extends to the detection whether an incoming object is identical to one of inactive objects out of image.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.2
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• pp.45-56
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• 2013

The precise identification of vehicle positions, known as the vehicle localization problem, is an important requirement for building intelligent vehicle ad-hoc networks (VANETs). To solve this problem, two categories of solutions are proposed: stand-alone and data fusion approaches. Compared to stand-alone approaches, which use single information including the global positioning system (GPS) and sensor-based navigation systems with differential corrections, data fusion approaches analyze the position information of several vehicles from GPS and sensor-based navigation systems, etc. Therefore, data fusion approaches show high accuracy. With the position information on a set of vehicles in the preprocessing stage, data fusion approaches is used to estimate the precise vehicular location in the local map building stage. This paper proposes an efficient local map building scheme, which increases the accuracy of the estimated vehicle positions via V2V communications. Even under the low ratio of vehicles with communication modules on the road, the proposed local map building scheme showed high accuracy when estimating the vehicle positions. From the experimental results based on the parameters of the practical vehicular environments, the accuracy of the proposed localization system approached the single lane-level.

• The Journal of Korea Robotics Society
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• v.12 no.3
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• pp.313-321
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• 2017

One of the most frequently performed tasks in human-robot interaction (HRI), intelligent vehicles, and security systems is face related applications such as face recognition, facial expression recognition, driver state monitoring, and gaze estimation. In these applications, accurate head pose estimation is an important issue. However, conventional methods have been lacking in accuracy, robustness or processing speed in practical use. In this paper, we propose a novel method for estimating head pose with a monocular camera. The proposed algorithm is based on a deep neural network for multi-task learning using a small grayscale image. This network jointly detects multi-view faces and estimates head pose in hard environmental conditions such as illumination change and large pose change. The proposed framework quantitatively and qualitatively outperforms the state-of-the-art method with an average head pose mean error of less than $4.5^{\circ}$ in real-time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.317-322
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• 2013

Personal information is defined information related to users' privacy data. It can be verified information through social security number, image, and means relating to individual can verify. Such personal information is in accordance with the privacy act in law for the collection and usage in enterprises and institutions. However, it can be induced privacy problem when it is exposed information without attention. This user's inadvertent disclosure of personal information has occurred due to social engineering and intelligent cyber-crime occurred in order to solve these problems. A variety of protection solutions for personal information have been developed. Web privacy filtering firewall and solutions related with server have been developed among developed many solutions, web privacy filtering and firewall solutions is proposed in this paper.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11S
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• pp.3410-3419
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• 1999

Autonomous Intrusion Analysis Agent(AIAA) is Incident Response Team staff's tool that scans, analyses, reports and alerts the traces of intrusion based on system logs and intruder's backdoors inside compromised system by IR staff after security incident is reported to the IR team. AIAA is intelligent to recognize to check out who is intruder from all the user accounts and to report the suspected candidates to the master control system in IR team. IR staff who controls AIAA with master system can pick up an intruder from the candidates reported by AIAA agent and review all related summary reports and details including source host's mane, finger information, all illegal behavior and so on. AIAA is moved to compromised system by the staff to investigate the signature of intrusion along the trace of victim hosts and it is also operated in secret mode to detect the further intrusion. AIAA is alive in all victim systems until the incident is closed and IR staff can control AIAA operation and dialogue with AIAA agent in Web interface.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.1891-1908
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• 2011

Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

• Journal of Broadcast Engineering
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• v.24 no.7
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• pp.1266-1275
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• 2019

With increasing criminal rates and number of CCTVs, much attention has been paid to intelligent surveillance system on the horizon. Object detection and tracking algorithms have been developed to reduce false alarms and accurately help security agents immediately response to undesirable changes in video clips such as crimes and accidents. Many studies have proposed a variety of algorithms to improve accuracy of detecting and tracking objects outside tunnels. The proposed methods might not work well in a tunnel because of low illuminance significantly susceptible to tail and warning lights of driving vehicles. The detection performance has rarely been tested against the tunnel environment. This study investigated a feasibility of object detection and tracking in an actual tunnel environment by utilizing YOLOv3 and Kernelized Correlation Filter. We tested 40 actual video clips to differentiate pedestrians and motorcycles to evaluate the performance of our algorithm. The experimental results showed significant difference in detection between pedestrians and motorcycles without false positive rates. Our findings are expected to provide a stepping stone of developing efficient detection algorithms suitable for tunnel environment and encouraging other researchers to glean reliable tracking data for smarter and safer City.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.3
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• pp.47-56
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• 2010

In a study of a peculiarity of the Korean residence construction as the central Jeong Yeo Chang's Residence, we proposed varieties service models for an anthropocentric U-Korean style with "a convenience, a security, an economical, a pleasure". It was to assume for this research that was established in case of all necessity IT infrastructures, and was structural alterations to a Korean residence sectional. It was used for Wall-Pad(Home Gateway) for controlling services, gas valves, remote inspection of a meter, curtains, doorlocks, boilers, temperature controllers, indoor ventilation systems, breakers, and expansion of crime prevention, energy. With introducing various service models on U-Korean style house, removing a negative view about Korean residence, we drew the best suited residence condition combining with a merit of the Korean residence and the Ubiquitous Intelligent Home Service. In order to realize U-Korean style house at the right time at the right place, a maintenance was required to be ensured based on social infrastructures and institutions and laws.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.82-94
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• 2007

Wireless sensor networking technology is one of the basic infrastructures for ubiquitous environment. It enables us to gather various sensory data such as temperature, humidity, gas leakage, and speed from the remote sensor devices. To support these networking functions, IEEE WPAN working group makes standards for PHY and MAC, while ZigBee Alliance defines the standards for the network, security, and applications. The low-rate WPAN was emerged to have the characteristics of network resilience, low cost, and low power consumption. It has a broad range of applications including, but not limit to industrial control and monitoring, home automation, disaster forecast and monitoring, health care. In order to provide more intelligent and robust services, users want voice-based solutions to accommodate to low-rate WPAN. In this paper, we have evaluated voice quality of an IEEE 802.15.4 standard compliant voice node. Specifically, it includes the design of a voice node and experiments based on the prediction of voice quality using the E-model suggested by ITU-T G.107, and the network communication mechanisms considering beacon-enabled and nonbeacon-enabled networks for real-time voice communications.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.215-219
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• 2002

인터넷의 급속한 성장으로 e비즈니스의 인터넷 사용이 증대되었다. 인터넷 환경에서는 새로운 인터넷 사용자라는 소비자를 대상으로 인터넷 소비자 행동에 관한 연구가 중요한 분야로 자리잡게 되었다. 인터넷상에서의 소비자 행동을 설명하기 위해 온라인 인지절차 (Cognitive process)에 관한 연구로, 웹 사이트에 대한 소비자의 태도에 미치는 영향을 밝히는 연구들이 수행되었다. 웹 사이트에 대한 소비자의 태도에 따른 개인화된 마케팅을 위해서는 웹사이트를 소비자의 특성을 고려해서 개인화된 웹사이트를 운영해야 한다. 개인의 정보 시스템 사용에 대한 설명을 위하여 많은 모형들이 개발되어 왔다. 기술 수용 모형(Technology Acceptance Model: TAM)은 개인의 정보 시스템 수용에 영향을 미치는 요소를 설명하기 위하여 가장 폭 넓게 사용되고 있는 모형이다. TRA 모형에 따르면, 개인의 사회적 행위는 그 행위의 결과에 대한 신념에 의해 영향을 받는다고 할 수 있다. 본 연구에서는 고객의 신념을 신뢰 (Trust), 유용성 (Usefulness), 사용의 편의성 (Ease of Use), 위험 (Risk), 보안통제 (Security control)로 분류하고, 고객의 실제 사용 (Usage)을 인터넷 뱅킹 환경에서 측정하여 고객세분화에 적용하였다. 세분화된 고객집단을 분류하기 위해서 인공신경망, 판별 분석 기법을 적용하여 웹 사이트에서 사용할 수 있는 개인화 모형을 개발하였다.