• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.2
• /
• pp.692-712
• /
• 2022

Buoys used for Aid to Navigation systems are widely used to guide the sea paths and are powered by batteries, requiring continuous battery replacement. However, since human labor is required to replace the batteries, humans can be exposed to dangerous situation, including even collision with shipping vessels. In addition, Maritime sensors are installed on the route signs, so that these are often damaged by collisions with small and medium-sized ships, resulting in significant financial loss. In order to prevent these accidents, maritime object detection technology is essential to alert ships approaching buoys. Existing studies apply a number of filters to eliminate noise and to detect objects within the sea image. For this process, most studies directly access the pixels and process the images. However, this approach typically takes a long time to process because of its complexity and the requirements of significant amounts of computational power. In an emergent situation, it is important to alarm the vessel's rapid approach to buoys in real time to avoid collisions between vessels and route signs, therefore minimizing computation and speeding up processes are critical operations. Therefore, we propose Fast Connected Component Labeling (FCCL) which can reduce computation to minimize the processing time of filter applications, while maintaining the detection performance of existing methods. The results show that the detection performance of the FCCL is close to 30 FPS - approximately 2-5 times faster, when compared to the existing methods - while the average throughput is the same as existing methods.

• Journal of Advanced Navigation Technology
• /
• v.15 no.2
• /
• pp.273-280
• /
• 2011

Mobile directory has offered just the same function until now, SNS service also has offered for our to meet other people and liaise between person and person. But it has a important thing which can not offer direct to liaise between person and person. In this paper, we has developed the "SNS Consolidation Directory" for solve the problem which needs to modern people with. A main purpose of SNS Consolidation Directory will develop the smart directory which offer to improve SNS service and personal relation supervision. This system function has initial search, anniversary, birthday alarm, using the UI contact frequency, SNS service and directory exchange.

• Journal of Practical Engineering Education
• /
• v.6 no.1
• /
• pp.15-21
• /
• 2014

Rapidly developing mobile internet technology and extensive service of smart phones have led to growing use of mobile applications. It is natural that software developers and IT-related students develop a variety of applications that can be used for everyday life. The present paper reports a case of developing such an application that was developed in a capstone design course of Department of Computer Science at Namseoul University. This so-called 'Application for Prevention of Loss of One's Belongings' was designed to let students learn a set of tools based on Android operation system. This app can prevent smart phone users from losing their belongings using an alarm. The educational effect from the process of developing this application is also discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.123-126
• /
• 2017

The information and communication technology that is being developed recently has been greatly influencing the automobile market. In recent years, devices equipped with IT technology have been installed for the safety and convenience of the driver. However, it has the advantage of increased convenience as well as the disadvantage of increasing traffic accidents due to driver 's distraction. In order to prevent such accidents, it is necessary to develop safety systems of various types and ways. In this paper, we propose a method to implement a multi-function camera driving safety system that notifies a pedestrian and lane departure warning without using a radar sensor or a stereo video image, and a study on the analysis of a lane departure alarm software result.

• Smart Media Journal
• /
• v.5 no.3
• /
• pp.93-98
• /
• 2016

The literal meaning of loitering is "to lingering aimlessly or as if aimless in or about a place". And most criminals show this kind of act before they actually commit crime. Therefore, detecting this kind of loitering can effectively prevent a variety of crime. In this paper, we propose a loitering-detection algorithm using the Raspberry Pi. Proposed algorithm uses an adaptive difference image to detect moving objects and morphology opening operation to enhance the accuracy of detection. The loitering- behavior is being detected by using the center of gravity of the object to see the changes of angle; and pixel movement distance to determine the height of the object. When the loitering-behavior is detected, it outputs the alarm to tell the users by using the Raspberry Pi.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.27 no.1
• /
• pp.65-71
• /
• 2017

Since existing Internet of Things(IoT) is vulnerable, it may cause property damage due to the information leakage. Especially, the smart door lock system built on the IoT can cause more damage. To solve these problems, this paper classify the data generated by the sensor according to the condition and send an alarm message to the user's smartphone through Google Cloud Message (GCM). We made it possible to check the images in real time through the smartphone application and control the door lock using the TCP / IP protocol. Also, we applied OTP-Based Matrix SEED algorithm to door lock system to improve security.

• Journal of Positioning, Navigation, and Timing
• /
• v.2 no.1
• /
• pp.91-100
• /
• 2013

This paper introduces an indoor sensor fusion wireless communication device which provides the Location Based Service (LBS) using fire prevention facility. The proposed system can provide information in real time by optimizing the hardware of Wi-Fi technology. The proposed system can be applied to a fire prevention facility (i.e., emergency exit) and provide information such as escape way, emergency exit location, and accident alarm to smart phone users, dedicated terminal holders, or other related organizations including guardians, which makes them respond instantly with lifesaving, emergency mobilization, etc. Also, the proposed system can be used as a composite fire detection sensor node with additional fire and motion detect sensors.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.1193-1194
• /
• 2017

실시간으로 화재 발생을 감지하고 관리자와 사용자에게 알리기 위해 본 연구에서는 센서와 드론을 활용한 스마트 빌딩 화재 알림 시스템을 제안한다. 시스템은 스마트센서, 드론, 컨트롤서버, 관리자앱으로 구성되어 있다. 온도감지 센서를 통해 빌딩 내부의 온도를 실시간으로 전송하고 온도가 일정 범위를 벗어난 경우 관리자에 알림 메시지를 보내고 드론에게 정찰 명령을 보낸다. 관리자는 전송된 온도와 드론이 정찰한 사진을 확인하여 화재를 파악하고 화재발생의 경우 빌딩 내부의 모든 사용자에게 알림 메시지를 전송한다. 이를 통해 기존의 CCTV 보다 화재 상황에 대해 좀 더 능동적이면서 빠르고 정확하게 대응할 수 있으며 나아가 화재 신고 및 원인 규명에도 도움이 될 것이다.

• Journal of Multimedia Information System
• /
• v.7 no.3
• /
• pp.205-214
• /
• 2020

Crime has become one of the major problems in modern society. Even though visual surveillances through closed-circuit television (CCTV) is extensively used for solving crime, the number of crimes has not decreased. This is because there is insufficient workforce for performing 24-hour surveillance. In addition, CCTV surveillance by humans is not efficient for detecting dangerous situations owing to accuracy issues. In this paper, we propose the autonomous detection of dangerous situations in CCTV scenes using a deep learning model with relational inference. The main feature of the proposed method is that it can simultaneously perform object detection and relational inference to determine the danger of the situations captured by CCTV. This enables us to efficiently classify dangerous situations by inferring the relationship between detected objects (i.e., distance and position). Experimental results demonstrate that the proposed method outperforms existing methods in terms of the accuracy of image classification and the false alarm rate even when object detection accuracy is low.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.363-365
• /
• 2014

기존의 알람 어플리케이션은 음향 효과를 통한 자극이라는 단순한 방식으로 과거와 같거나 알람 해제 방식이 유사한 알람 어플리케이션들이다. 이러한 기존의 방식을 벗어나, 알람을 해제하려는 사용자에게 질문을 하고 그에 대한 답변을 Google TTS로 입력받아 알람을 끌 수 있도록 하였다. 또한 알람 종료 시 블루투스 통신을 이용하여 사용자가 입력한 값에 따라 아두이노를 통하여 실내의 조명과 커튼을 제어하여 더 효과적인 알람 효과를 낼 수 있도록 구현하였다.