• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.13 no.3
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• pp.229-236
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• 2008

The deep-sea miner is the tracked vehicle system which drives on the deep-seabed and gathers a manganese nodules. The miner is operated by remote control in real-time by the station of surface vessel. So operating S/W is a important part of miner remote operating. At present, the test miner has been designed and manufactured for near-shore sea-test. The test miner consists of mechanical parts, and electric-electronic parts. Because those parts should be controled and monitored remotely, operating S/W for control and monitoring is necessary by all means. In this paper, real-time operating S/W for a control and monitoring of the test miner was designed and developed using PXI, embedded controller and LabVIEW. This real-time operating S/W was developed for an efficient test of test miner in a near seabed area. Moreover, database management system(DBMS) was developed too for the data management of test miner monitoring using MS SQL and LabVIEW.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.861-865
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• 2009

Technical development in car has utilized electronic controls (ECU, Electronic Control Unit) recently if was achieved machine such as engine performance in priority and electronic side technical development that improve safety, convenience, expense etc. is proceeded vigorously. Also, preference of consumers for car is various model's number according to change at the fast speed and complexity of software required from vanguard service development was increased greatly. Software development expense dominated considerable weight in car manufacture expense by such change and automakers established OSEK/VDX that is standard of automobile embeded system to reuse application software by module to respond this and transplant easily to other control device. Do when search about all item that is necessary in real-time OS structure that examines OSEK/VDX standard that is presented as the alternative to respond environment that change rapidly that refer in dignified mien after it is original, and uses actuality OSEK/VDX.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.4
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• pp.35-42
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• 2024

In this study, we propose a method for real-time recognition and analysis of dog behavior using a motion sensor and deep learning techonology. The existing home CCTV (Closed-Circuit Television) that recognizes dog behavior has privacy and security issues, so there is a need for new technologies to overcome them. In this paper, we propose a system that can analyze and care for a dog's behavior based on the data measured by the motion sensor. The study compares the MLP (Multi-Layer Perceptron) and CNN (Convolutional Neural Network) models to find the optimal model for dog behavior analysis, and the final model, which has an accuracy of about 82.19%, is selected. The model is lightened to confirm its potential for use in embedded environments.

• Journal of IKEEE
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• v.9 no.2 s.17
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• pp.79-86
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• 2005

Increasing network traffic and multimedia application services need realtime analysis of network traffic for improvement of QoS and effective management of network resource. Because difficulty of measurement based on software method, study of meter architecture for efficient capture function is necessary. Therefore we design and implement hardware metering system for efficient packet capture using embedded linux. And we analyze required bandwidth of system bus and memory for 10Gbps traffic through simulation.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.243-254
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• 2014

When building a testing environment with a testing platform, the configuration of test executor and its interface should be built to be appropriate for the system under test (SUT). That is, it is necessary to build the test executor and interface environment that can properly handle the input and output signals of SUT. If the testing platform is not extendable, it should be modified significantly whenever new SUTs and models are tested. It is a serious drawback that the test executor and interface configuration need to be modified depending on testing targets. To overcome the drawback, this paper proposes TEM(test Execution Machine), which allows for test executor to reconfigure its environment suitable to new SUTs by modifying the configuration file. The proposed TEM is verified through testing two real systems.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.8
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• pp.748-756
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• 2015

In this paper, we developed a miniaturized real time video compression system satisfying the military environment using ADV212 and FPGA. We present an efficient hardware design scheme for the weight reduction of the device and also a software solution to deal with noisy image signals. Experimental results show that the frame delay is reduced by a factor of 2 or 3 and the device's weight is decreased by a factor of 6 to 7. In order to prove the reliability for the military usage of this development, we examine the environmental test (MIL-STD-810G) and EMI test (MIL-STD-461F). Experimental results show that the developed system satisfies the requirements.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.37-44
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• 2017

While IoT (Internet of Things) industry has been spreading, it becomes very important for object to recognize user's information by itself without any control. Above all, gender (male, female) is dominant factor to analyze user's information on account of social and biological difference between male and female. However since each gender consists of diverse face feature, face-based gender classification research is still in challengeable research field. Also to apply gender classification system to IoT, size of device should be reduced and device should be operated with low power. Consequently, To port the function that can classify gender in real-world, this paper contributes two things. The first one is new gender classification algorithm based on deep learning and the second one is to implement real-time gender classification system in embedded board operated by low power. In our experiment, we measured frame per second for gender classification processing and power consumption in PC circumstance and mobile GPU circumstance. Therefore we verified that gender classification system based on deep learning works well with low power in mobile GPU circumstance comparing to in PC circumstance.

• Journal of Platform Technology
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• v.8 no.4
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• pp.11-19
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• 2020

In an autonomous driving environment, dynamic recognition of objects is essential as the situation changes in real time. In addition, as the number of sensors and control modules built into an autonomous vehicle increases, the amount of data the central control unit has to process also rapidly increases. By minimizing the output data from the sensor, the load on the central control unit can be reduced. This study proposes a dynamic object recognition algorithm solely using the embedded processor on a LiDAR sensor. While there are open source algorithms to process the point cloud output from LiDAR sensors, most require a separate high-performance processor. Since the embedded processors installed in LiDAR sensors often have resource constraints, it is essential to optimize the algorithm for efficiency. In this study, an embedded processor based object recognition algorithm was developed for autonomous vehicles, and the correlation between the size of the point clouds and processing time was analyzed. The proposed object recognition algorithm evaluated that the processing time directly increased with the size of the point cloud, with the processor stalling at a specific point if the point cloud size is beyond the threshold

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.812-816
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• 2007

Having been speedy development of the IT industry, devices such as set-top box and smart phone are used in the broad filed. Because Java has merits that are platform independency, security and mobility, that is important software platform to offer stable services in the small device. This needs JVM(Java Virtual Machine) to execute Java application in the small device. CVM(Classic Virtual Machine) which is the kind of JVM is designed for embedded device to have limited resources. In this paper, CVM which is defined by CDC has designed and implemented on the Real-Time Operating System, UbiFOS$^{TM}$.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.181-183
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• 2006

UML 2.0의 시퀀스 다이어그램은 실시간 특성을 표기할 수 있는 표기법이 추가됨으로써 시간의 엄격성이 중요하게 여겨지는 임베디드 소프트웨어의 행위를 보다 정확하고 상세하게 모델링 할 수 있게 되었다. 시퀀스 다이어그램은 전체 시스템의 부분적인 행위를 기술하여 같은 행위가 여러 다이어그램에 걸쳐서 기술되어지므로 이들 다이어그램들은 서로 일관성을 가져야 하는데 복잡한 시스템에서 일관성을 검사하는 것은 어려운 일이다. 본 논문에서는 행위 모델을 표현하는 시퀀스 다이어그램과 다른 다이어그램에 기술된 실시간 특성들의 일관성을 자동으로 검사할 수 있는 방법을 제안한다. 먼저 서로 다른(inter) 다이어그램들 사이의 시간적인 일관성을 유지하기 위한 제약사항을 파악하여 정의한다. 그리고 모델을 구성하는 인스턴스들에 대한 제약사항을 OCL로 기술하는데 이는 UML 2.0이 발표되면서 모델의 의미를 정확하고 상세하게 표현할 수 있는 메타 모델과 그들의 연관관계가 추가되고 명확하게 정의됨에 따라 가능하게 된 것이다. 이렇게 OCL로 정형화되어 기술된 식은 UML 2.0 메타 모델을 이용한 어느 모델에나 적용 가능하며 모델의 문제점을 발견하고 정확한 모델을 구축하도록 도와준다.