• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.923-926
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• 2010

센서 네트워크는 센서 노드에서 수집된 최신의 현장 데이터를 기반으로 사용자 질의를 처리할 수 있는 시스템이다. 센서 네트워크에서 사용자 질의를 처리하기 위하여 먼저 사용자 질의를 데이터가 저장되어 있는 각 센서 노드에 전파하여 수행한 후에 질의 결과를 서버로 전송한다. 그러나 만약 연속 질의를 처리하면 반복적으로 사용자 질의를 센서 노드에 전파해야 하는 문제가 있다. 이 논문에서는 센서 네트워크에서 센서 스트리밍 데이터에 대하여 연속 질의를 처리하기 위한 질의 처리 기법에 대하여 제안한다. 이를 위하여 각 센서 노드는 자신의 노드에 질의 색인을 구축하여 사용자 질의를 처리한다. 그리고 센서 노드에서 발생 가능한 불확실 센서 데이터를 처리하기 위한 기법을 제시한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1003-1006
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• 2004

In this paper have developed a system for monitoring and processing the real time sensor data in remote site through network. For realizing this system, measurement equipment and protocol are used to transmit the measurement data to remote server and to process measurement data. In server part, the received data from remote site sensor is converted to text or graphic charts for user. The measurement device in sensor part receives the sensor data form sensor and store the received data to its internal memory for transmitting data to server part through Internet. Also the measurement device can receive data form server. The temperature sensor is connected to the measurement device located in laboratory and the measurement device measures temperature of laboratory which can be confirmed by user through Internet. We have developed a server programworking on the Linux to store measurement data from measurement device to server memory. The program is use for SNMP(Simple Network Management Protocol) to exchange data with measurement device. Also the program changes the measurement data into text and graphic charts for user display. The program is use apache PHP program for user display and inquiry. The real time temperature measurement system can be apply for many parts of industry and living.

• Smart Structures and Systems
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• 제17권4호
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• pp.669-690
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• 2016

Advances in sensor technologies have led to the instrumentation of sensor networks for bridge monitoring and management. For a dense sensor network, enormous amount of sensor data are collected. The data need to be managed, processed, and interpreted. Data management issues are of prime importance for a bridge management system. This paper describes a data management infrastructure for bridge monitoring applications. Specifically, NoSQL database systems such as MongoDB and Apache Cassandra are employed to handle time-series data as well the unstructured bridge information model data. Standard XML-based modeling languages such as OpenBrIM and SensorML are adopted to manage semantically meaningful data and to support interoperability. Data interoperability and integration among different components of a bridge monitoring system that includes on-site computers, a central server, local computing platforms, and mobile devices are illustrated. The data management framework is demonstrated using the data collected from the wireless sensor network installed on the Telegraph Road Bridge, Monroe, MI.

• 한국콘텐츠학회논문지
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• 제10권11호
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• pp.58-67
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• 2010

데이터 중심 저장 기법은 센서 네트워크에서 측정값을 효율적으로 저장하고 관리하기 위한 대표적인 연구 중 하나이다. 이 기법은 센서가 센싱한 데이터를 특정 센서 노드로 보내 저장한다. 하지만, 측정값을 네트워크 내부의 특정 노드로 전송하는 과정에서 많은 에너지를 소모하는 문제점을 가지고 있다. 본 논문에서는 데이터 중심 저장 기법에서 데이터의 전송 비용을 줄이기 위한 새로운 센서 데이터 압축 기법을 제안한다. 제안하는 기법은 측정값의 안전영역(Safe Region) 범위를 설정하고, 측정값이 안전영역을 벗어나는 경우만 데이터를 전송한다. 이를 통해 데이터의 전송을 줄이고 네트워크의 수명을 연장 시킨다. 성능평가 결과, 기존 기법에 비해 제안하는 기법의 에너지 소모가 60% 감소하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.276-279
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• 2005

As the Ubiquitous generation approaches, the importance of the sensor data processing is growing. The data approximation scheme, one of the data processing methods, can be the key of sensor data processing, for it is related not only to the lifetime of sensors but also to the size of the storage. In this paper, we propose the Harmonic Wavelet transform which can minimize the relative error for given sensor data. Harmonic Wavelets use the harmonic mean as a representative which is the minimum point of the maximum relative error between two data values. In addition, Harmonic Wavelets retain the relative errors as wavelet coefficients so we can select proper wavelet coefficients that reduce the relative error more easily. We also adapt the greedy algorithm for local optimization to reduce the time complexity. Experimental results show the performance and the scalability of Harmonic Wavelets for sensor data.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.63-68
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• 2008

In now days, Ubiquitous technology grow up, so the variety service are developed. Sensor networks purpose is collection information about environment and geographic. But sensor network has limit in power, cost and so on. There is much restriction. Some sensor networks purpose is monitoring environment. And there is some relation in sensing data. Sensor nodes sense information by periods. First sensing data correlate with next sensing data. At this point, this paper suggest power saving method. Some data are same, the other data are similar.

• 한국전자통신학회논문지
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• 제6권4호
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• pp.581-587
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• 2011

무선센서네트워크는 높은 수준의 상황정보를 추론할 수 있기 위해 이질적인 다중센서로 이루어질 필요가 있다. 다중센서에 의해 수집된 데이터를 상황 정보추론에 활용할 때 다중센서 데이터 융합이 필요하다. 본 논문에서는 Dempster-Shafer의 증거이론에 입각하여 무선센서네트워크에서의 데이터 융합할 때 센서별 가중치를 부여하는 방안을 제안하였다. 센서별 이벤트 발생빈도수를 기준으로 하였는데, 센서별 이벤트 발생 빈도수는 해당 센서가 입수한 상황데이터의 가중치를 계산하는데 반영해야 할 요소이다. 센서별 이벤트 발생빈도에 기초하여 가중치를 계산하였으며 이 가중치를 부여하여 다중센서 데이터 융합하였을 때 신뢰도가 더욱 뚜렷한 격차를 보이게 함으로써 상황정보를 추론함에 있어서 용이할 수 있었다.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.54-62
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• 2017

Currently, falling to industrial field workers is causing serious injuries. Therefore, many researchers are actively studying the fall by using acceleration sensor, gyro sensor, pressure sensor and image information.Also, as the spread of smartphones becomes common, techniques for determining the fall by using an acceleration sensor built in a smartphone are being studied. The proposed method has complexity due to fusion of various sensor data and it is still insufficient to develop practical application. Therefore, in this paper, we use acceleration sensor module built in smartphone to collect acceleration data, propose a simple falling algorithm based on accelerometer sensor data after normalization and preprocessing, and implement an Android based app.

• 대한조선학회 특별논문집
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• 대한조선학회 2008년도 특별논문집
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• pp.33-37
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• 2008

The evidence of the Cargo tank volume is very important between Buyer and Seller for agreement each other for LNG Ship. CTS(Custody Transfer System) Radar type level gauging sensor to be measured for cargo volume. The data of Trim & List sensor to be compensated for measuring data which is original data of the CTS sensor. The latest days, the Buyer would have posed a problem both the location and the accuracy of trim/list sensor specially neared final stage of the ship's delivery. So, we would like to report the introducing to the trim/list sensor and the confirmation of actual location for the trim/list sensor.

• 한국멀티미디어학회논문지
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• 제20권9호
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• pp.1559-1566
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• 2017

Recently in the IoT(Internet of Things) environment, a data collection in real-time through device's sensor has increased with an emergence of various devices. Collected data from IoT environment shows a large scale, non-uniform generation cycle and atypical. For this reason, the distributed processing technique is required to analyze the IoT sensor data. However if you do not consider the optimal scheduling for data and the processor of IoT in a distributed processing environment complexity increase the amount in assigning a task, the user is difficult to guarantee the QoS(Quality of Service) for the sensor data. In this paper, we propose APQTA(Adaptive Priority Queue-driven Task Allocation method for sensor data processing) to efficiently process the sensor data generated by the IoT environment. APQTA is to separate the data into job and by applying the priority allocation scheduling based on the deadline to ensure that guarantee the QoS at the same time increasing the efficiency of the data processing.