• Smart Structures and Systems
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• v.10 no.3
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• pp.209-228
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• 2012

Structural health monitoring with wireless sensor networks has received much attention in recent years due to the ease of sensor installation and low deployment and maintenance costs. However, sensor network technology needs to solve numerous challenges in order to substitute conventional systems: large amounts of data, remote configuration of measurement parameters, on-site calibration of sensors and robust networking functionality for long-term deployments. We present a structural health monitoring network that addresses these challenges and is used in several deployments for monitoring of bridges and buildings. Our system supports a diverse set of sensors, a library of highly optimized processing algorithms and a lightweight solution to support a wide range of network runtime configurations. This allows flexible partitioning of the application between the sensor network and the backend software. We present an analysis of this partitioning and evaluate the performance of our system in three experimental network deployments on civil structures.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1277-1283
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• 2010

Many e-learning systems adopts SCORM as an e-learning standard. E-learning systems evaluate and apply the learning difficulty in order to improve the studying efficiency. But, it is hard to change the learning difficulty and provide the customized learning contents during studying in SCORM. Because it is difficult to provide the customized contents to learners by changing the learners' level at runtime and to control optional learning. In this paper, we designed and implemented SCORM-based Contents Organization System on learners' level(SCOS) for complementing the SCORM's weakness. SCOS re-evaluates a learner's level whenever the learner's level is changed during learning, and provides customized contents on the learner's level.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.1
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• pp.68-81
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• 2000

CORBA Trader Service is to locate appropriate objects that provide the desired functionality at runtime. To provide this service, the Trader Service federates a local trader and remote traders by considering the Traders or Link policies, and it returns the service offers that are requested by the importer. This traditional way of trading reveals a performance problem due to the low response time. The response time largely depends on the amounts of service offers of the Importer's request and the frequency of federations with the other trader. The performance is a key factor for evaluating the Trader Service performance.In order to overcome the low response time and to provide the high-quality services, we propose new policies of Import and Trader, and present a PUTS(Push Trader Service) model which implements this new advanced trader service. We present the design and implementation of the PUTS's major modules, also make a comparison between PUTS system and traditional trader system in terms of performance and functionality through case studies.