• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.4
• /
• pp.117-122
• /
• 2021

In recent years, human damage and loss of money due to various disasters such as typhoons, earthquakes, forest fires, landslides, and wars are steadily occurring, and a lot of manpower and funds are required to prevent and recover them. In this paper, we designed and developed a disaster drone system based on artificial intelligence in order to monitor these various disaster situations in advance and to quickly recognize and respond to disaster occurrence. In this study, multiple disaster drones are used in areas where it is difficult for humans to monitor, and each drone performs an efficient search with an optimal path by applying a deep learning-based optimal path algorithm. In addition, in order to solve the problem of insufficient battery capacity, which is a fundamental problem of drones, the optimal route of each drone is determined using Ant Colony Optimization (ACO) technology. In order to implement the proposed system, it was applied to a forest fire situation among various disaster situations, and a forest fire map was created based on the transmitted data, and a forest fire map was visually shown to the fire fighters dispatched by a drone equipped with a beam projector. In the proposed system, multiple drones can detect a disaster situation in a short time by simultaneously performing optimal path search and object recognition. Based on this research, it can be used to build disaster drone infrastructure, search for victims (sea, mountain, jungle), self-extinguishing fire using drones, and security drones.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.141-143
• /
• 2022

This paper presented a new technology to identify traffic violations of motorbike riders by detecting the traffic signal using You Only Look Once (YOLO) object detection. The hardware module that is mounted on the front of the motorbike consists of Raspberry Pi with a camera to run the YOLO object detection, a GPS module to acquire the motorcycle's coordinate, and a LoRa communication module to send the data to a cloud DB. The main goal of the software is to determine whether a motorbike has violated a traffic signal. This paper proposes a function to recognize the red traffic signal colour with its movement inside the camera angle and determine that the traffic signal violation happens if the traffic signal is moving to the right direction (the rider turns left) or moving to the top direction (the riders goes straight). Furthermore, if a motorbike rider is violated the signal, the rider's personal information (name, mobile phone number, etc), the snapshot of the violation situation, rider's location, and date/time will be sent to a cloud DB. The violation information will be delivered to the driver's smartphone as a push notification and the local police station to be used for issuing violation tickets, which is expected to prevent motorbike riders from violating traffic signals.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.3
• /
• pp.93-101
• /
• 2009

This paper suggests a new algorithm automatically searching for Region-of-Interest(ROI) with high speed, using the edge information of high frequency subband transformed with wavelet. The proposed method executes a searching algorithm of 4-direction object boundary by the unit of block using the edge information, and detects ROIs. The whole image is splitted by $64{\times}64$ or $32{\times}32$ sized blocks and the blocks can be ROI block or background block according to taking the edges or not. The 4-directions searche the image from the outside to the center and the algorithm uses a feature that the low-DOF image has some edges as one goes to center. After searching all the edges, the method regards the inner blocks of the edges as ROI, and makes the ROI masks and sends them to server. This is one of the dynamic ROI method. The existing methods have had some problems of complicated filtering and region merge, but this method improved considerably the problems. Also, it was possible to apply to an application requiring real-time processing caused by the process of the unit of block.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.4A
• /
• pp.528-538
• /
• 2000

Mobile computing system requires both precise identification and secure authentication scheme on remote mobile entities, which is based on the distributed mobile node. In this paper, existing discrete logarithm based $Schnorr^{[7]}$ like entity authentication schemes are improved by the analysis of performance and security on the hi-directional interactive proofs. And $EIGamal^{[14]}$ like efficient authentication schemes are also proposed. Then, these are enhanced with oblivious transfer based mono directional authentication schemes based on trusted third party for applying to the mobile agent based computing systems. Therefore, proposed schemes provide compatible performance and safety on mobile entity authentication processes.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2001.11b
• /
• pp.35-38
• /
• 2001

최근 급속하게 발전하고 있는 컴퓨터, 인터넷 분야의 디지털 기술과 함께 방송 환경도 기존의 아날로그 방식에서 디지털 방식으로 바뀌어 가고 있다. 최근 이러한 디지털 방송 환경의 도입으로 A/V 프로그램의 고화질 서비스 제공과 더불어 다양한 멀티미디어 콘텐츠를 방송망을 통해 전송할 수 있는 데이터방송 기술에 대한 관심이 고조되고 있다. 현재 실시간 운영체제(Real Time O/S)를 이용한 독립형 데이터방송 셋톱박스들의 성능은 Java 나 XML을 기반으로 저작된 콘텐츠들을 처리할 수 있으나 MPEG-4와 같은 객체 기반의 멀티미디어 콘텐츠를 처리하기에는 연산 능력의 한계를 가지고 있다. 그러나 앞으로 데이터방송 서비스의 발전 방향은 시청자가 직접 방송 내용에 대해 활발하게 상호 작용을 할 수 있는 대화형 방송 서비스로 발전할 것이다. 이러한 대화형 방송에서 사용되는 콘텐츠는 복잡하고 계산량이 많이 요구되며 이를 처리하기 위해서 셋톱박스는 높은 연산량을 가진 다양한 멀티미디어 기능을 처리할 수 있어야 한다. 따라서 본 논문에서는 디지털 지상파 데이터방송시 ATSC-DASE 기반의 콘텐츠와 MPEG-4 콘텐츠를 수신하고 처리할 수 있는 PC 기반의 고성능 셋톱박스에 대한 설계 방안을 제안한다.

• Journal of Korea Multimedia Society
• /
• v.7 no.9
• /
• pp.1321-1328
• /
• 2004

In this article, we present a new DICOM object able to create image-based annotations in DICOM image. Since the proposed image-based annotation uses images themselves of annotation, various types like character, sketch, and scanning image, etc., can be imported into annotation easily. The proposed annotation is inserted into DICOM image directly but they do not influence original DICOM image quality by using independent data channel. The proposed annotation is expected to be very useful to medium and small clinics that cannot afford picture archiving and communication systems or electronic medical record.

• The Transactions of the Korea Information Processing Society
• /
• v.5 no.10
• /
• pp.2704-2712
• /
• 1998

In this paper, a MRI image compression technique, which allocates bits effectively by using lossless coding for region having important infommtion to decide disease and lossy coding for the rest, is proposed. In the proposed method, for MHI images needed to rccognize disk disease, we recognizc region having important objects by using the characteristics of c1isease. As the recognized region is imrxlrtant to decide whether disease exists or not, it is compressed by lossless coding and the rest is compressed by lossy coding, Also for the region compressed by lossy coding, we can obtain fine reconstructed images without blocking effect by adopting fractal coding in wavelet transform domain.

• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.9-14
• /
• 2014

In this paper, we propose AMV scheme which supports k-anonymization by using vectors for mobile clients. AMV can produces the minimal cloaking area using motion vector information of users (clients). The main reason for minimizing cloaking area is a server has to send the object information to all users who request the spatial queries. The experimental results show that the proposed AMV has superior performance over existing methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.5
• /
• pp.143-150
• /
• 2017

In this paper, we propose a novel motion recognition platform using smart-phone tracking and color communication. The interface requires only a camera and a personal smart-phone to provide a motion control interface rather than expensive equipment. The platform recognizes the user's gestures by the tracking 3D distance and the rotation angle of the smart-phone, which acts essentially as a motion controller in the user's hand. Also, a color coded communication method using RGB color combinations is included within the interface. Users can conveniently send or receive any text data through this function, and the data can be transferred continuously even while the user is performing gestures. We present the result that implementation of viable contents based on the proposed motion recognition platform.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.20 no.1
• /
• pp.48-53
• /
• 2010

In this paper, we develop the intelligent remote dust chamber bag control system which is combination of the advanced IT and traditional dust chamber based on event. At first, the message format is defined for the efficient dust chamber bag information transmission using power line communication. Also, we define the data types to logically model the dust chamber and the dust chamber bag, and they are logically modeled using XML and object-oriented modeling method. In addition to, we apply the case-based reasoning for showing the dust chamber bag exchange time intelligently to user at real-time using casebase, that is collected by case or case-based reasoning result, and that is described using XML.