• The Safety technology
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• no.163
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• pp.18-19
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• 2011

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1151-1158
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• 2020

In order to investigate the speed profile of data I/O of HDD, we have developed an utility program. The application to HDD reveals the detail properties of the speed profile of HDD and the relation between the cylinder structure of HDD and the velocity profile. For the extent application, the experiment of the large volume storage was performed, and the profile of SSD media, which is known as the new rapid media, was measured. The new M.2 NVME SSD, which has the ability of over 10Gbps, we can compare the velocities between cp under linux O/S and the utility, and shows that the performance of the utility can be reliable.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.479-484
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• 2002

This paper presents the model that integrates an SDL system and a CORBA system using mapping rules between method and signal for developing embedded systems connected with internet. In order to support communication between the two different systems (SDL and CORBA), it is essential to secure the conversion interface between SDL communication protocol and CORBA communication protocol. In this paper, IDL is adopted for the communication interface and the conversion of the communication protocol between the two systems, and the IDL compiler automatically generates the interface for protocol interoperability. The proposed model adopts middleware on the subpart of the SDL based legacy system, and hence, supports the service on the distributed system, regardless of the environment and location of the server system.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.10
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• pp.323-328
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• 2020

Recently, new approaches that significantly improve performance in object detection and recognition using deep learning technology have been proposed quickly. Of the various techniques for object detection, especially facial object detection (Faster R-CNN, R-CNN, YOLO, SSD, etc), SSD is superior in accuracy and speed to other techniques. At the same time, multiple object detection networks are also readily available. In this paper, among object detection networks, Mobilenet v2 network is used, models combined with SSDs are trained, and methods for detecting objects at a rate of four times or more than conventional performance are proposed using TensorRT engine, and the performance is verified through experiments. Facial object detector was created as an application to verify the performance of the proposed method, and its behavior and performance were tested in various situations.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1145-1152
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• 2021

In order to optimize the performance of 1.4P large storage, the characteristics of each chunk mode were investigated, and the chunk 512K mode was selected in terms of I/O speed. NVME storage system was configured and used to measure data server performance of large storage. By measuring the change in throughput according to the number of threads of the 1.4P large storage, the characteristics of the large storage system were identified, and it was confirmed that the performance was up to 133Gbps with a block size of 32KB. As a result of data transmission/reception experiment using globus-url-copy of GridFTP, it was found that this large storage has a throughput of 33Gbps.