• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.466-469
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• 2002

Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

• 제어로봇시스템학회논문지
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• 제14권1호
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• pp.13-20
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• 2008

Sensor network consists of a large number of sensor node distributed in the environment being sensed and controlled. The resource-constrained sensor nodes tend to have various and heterogeneous architecture. Thus, it is important to make its software environment platform-independent and reprogrammable. In this paper, we present BeeVM, a Java operating system designed for sensor networks. BeeVM offers a platform-independent Java programming environment with its efficiently executable file format and a set of class APIs for basic operating functions, sensing and wireless networking. BeeVM's high-level native interface and layered network subsystem allow complex program for sensor network to be short and readable. Our platform has been ported on two currently popular hardware platforms and we show its effectiveness through the evaluation of a simple application.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.45-48
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• 2013

In this paper, we proposed an Indexing Structure System (ISS) based on Apache Hadoop in Wireless Sensor Network (WSN). Nowadays sensors data continuously keep growing that need to control. Data constantly update in order to provide the newest information to users. While data keep growing, data retrieving and storing are face some challenges. So by using the ISS, we can maximize processing quality and minimize data retrieving time. In order to design ISS, Indexing Types have to be defined depend on each sensor type. After identifying, each sensor goes through the Indexing Structure Processing (ISP) in order to be indexed. After ISP, indexed data are streaming and storing in Hadoop Distributed File System (HDFS) across a number of separate machines. Indexed data are split and run by MapReduce tasks. Data are sorted and grouped depend on sensor data object categories. Thus, while users send the requests, all the queries will be filter from sensor data object and managing the task by MapReduce processing framework.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2000년도 춘계학술대회 논문집(Proceeding of the KOSME 2000 Spring Annual Meeting)
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• pp.22-27
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• 2000

This Paper decribes a monitoring system using Modbus protocol and RS485 interface applied in many industrial field. We developed hardware to receive alanlog sensor output and monitoring program to communicate with hardware and carried out experiment with potentiometer for plan sensor, . Through online communication between Master and Slaves we convinced the usage of this systems. Also plant data file that saved in Excel format is convenient in writing various typs of documents.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.768-771
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• 2006

In WSN(Wireless Sensor Network) environment, a large amount of sensors, which are small and heterogeneous, generates data stream successively in physical space. These sensors are composed of measured data and metadata. Metadata includes various features such as location, sampling time, measurement unit, and their types. Until now, wireless sensors have been managed with individual specification, not the explicit standardization of metadata, so it is difficult to collect and communicate between heterogeneous sensors. To solve this problem, OGC(Open Geospatial Consortium) has proposed a SensorML(Sensor Model Language) which can manage metadata of heterogeneous sensors with unique format. In this paper, we introduce a metadata model using SensorML specification to manage various sensors, which are distributed in a wide scope. In addition, we implement the metadata management module applied to the sensor data stream management system. We provide many functions, namely generating metadata file, registering and storing them according to definition of SensorML.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.205-207
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• 2021

IoT 장치를 개발하는 방법은 응용이 요구하는 센서를 아두이노나 라즈베이 파이 같은 플랫폼에 장착하고 그 센서의 드라이버와 응용을 작성하는 것이다. 이때 그 센서를 위한 구동 드라이버가 이미 작성되어 있고 응용에서 그 드라이버를 표준화된 API로 접근할 수 있다면 센서의 Plug&Play가 가능할 것이다. 이를 위한 과거의 방식은 센서 인터페이스가 너무 복잡하여 현재의 플랫폼에서는 사용하기 어렵다. 본 논문에서는 USB단자를 갖는 표준화된 센서와 드라이버가 라즈베리 파이에 Plug되면 자동으로 드라이버가 설치되는 기법을 제안한다. 응용 개발자는 센서 드라이버는 고민하지 않고 Linux의 파일 접근 API로 센서 값을 얻을 수 있다. 제안된 기법은 현재 라즈베리-파이 상에서 구현 중이다.

• 디지털산업정보학회논문지
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• 제13권2호
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• pp.77-85
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• 2017

Due to the expansion of accommodation space caused by increase of population along with lifestyle changes, most of people spend their time indoor except for the travel time. Because of this, environmental change of indoor is very important, and it affects people's health and economy in resources. But, most of people don't acknowledge the importance of indoor environment. Thus, monitoring system for sustaining and managing indoor environment systematically is needed, and big data clusters should be used in order to save and manage numerous sensor data collected from many spaces. In this paper, we design a big data cluster for the indoor environment monitoring in order to store the sensor data and monitor unit of the huge building Implementation design big data cluster-based system for the analysis, and a distributed file system and building a Hadoop, HBase for big data processing. Also, various sensor data is saved for collection, and effective indoor environment management and health enhancement through monitoring is expected.

• 한국멀티미디어학회논문지
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• 제13권8호
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• pp.1235-1244
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• 2010

최근 아이폰을 필두로 급부상하는 스마트폰의 정전기식 입력 장치에서는 펜 입력장치나 감압식 입력 장치를 위해 만들어진 제스처기반 인터페이스가 적합하지 않다. 손가락 튕김 인터페이스는 기존의 제스처기반 인터페이스에서 사용했던 플릭 제스처와 달리 명령을 적용시킬 대상과 명령을 동시에 선택함으로 작업 단계를 절반으로 감소시킬 수 있다. 뿐만 아니라, 멀티터치 인터페이스와 병합하여 사용함으로 다양한 메뉴 지원이 가능하여 복잡한 제스처를 학습할 필요가 없고, 정전기식 입력 장치 장치에 사용하기 적합하여 입력 오류를 최소화 시킨다. 본 연구에서는 정전기식 입력 장치를 가지는 스마트 폰 장치에서의 파일 관리를 빠르게 해주는 다중 손가락 튕김 인터페이스를 설계하고 구현한다. 실험에서는 사용자 평가를 통해 제안하는 인터페이스가 정전기식 입력 장치에서 기존 방식보다 유용함을 증명한다.

• 한국정보컨버전스학회:학술대회논문집
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• 한국정보컨버전스학회 2008년도 International conference on information convergence
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• pp.71-74
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• 2008

The current middleware, managing the bridges equipped whit sensor networks on real-time basis, merely processes the data collected from the sensor networks, In this study, we develop a very versatile middleware which mediates between sensor nodes and exclusive applications or web browsers. It collects and processes the data from the network. On database failures, it stores the data in a file and sends them to the database at a proper speed considering the rate of the database system when the database is restored. Lastly, in order to notice abnormality of the bridge to the operators when some problems occur in the bridge, we propose a mechanism for producing alarm signals.

• 인터넷정보학회논문지
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• 제7권4호
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• pp.45-55
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• 2006

본 논문에서는 현장감 있는 모의훈련을 위해 가상영상이 아닌 지상기반 CCD 카메라영상에 지정된 시나리오대로 가상표적을 전시하는 방법을 제안한다. 이를 위해 고해상도 GeoTIFF(Geonraphic Tag Image File Format) 위성영상과 DTED(Digital Terrain Elevation Data)를 이용하여 현실감 있는 3차원 모델을 생성(운용자용)하고 입력된 CCD 영상(운용자 훈련자용)으로부터 도로를 추출하였다. 그러나 위성영상과 지상기반 센서영상은 관측위치, 분해능, 스케일 등에 많은 차이가 있어 특징기반 정합이 어렵다. 따라서 본 논문에서는 영상 워핑함수인 TPS(Thin-Plate Spline) 보간 함수를 일치하는 두 개의 제어점 집합에 적용하여 3차원 모델에 표시된 이동경로를 따라 CCD 영상에도 표적을 전시하는 이동 동기화 방법을 제안하였다. 실험에서는 대전지역의 위성영상과 CCD 영상을 이용하여 제안한 알고리즘의 유효성을 입증하였다.