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      • HILS of Deep Learning-based TAS Sensor fail-safe technology for Heavy Commercial 100Nm Electro-Hydraulic Power Steering Systems

        Soon-Woong Cha(차순웅),Sungsik Jo(조성식),Elango Rakeshwar 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.11

        The primary motive of this research is to recover permanent sensor fault. In Lane Keeping Assistant Systems, sensors play a necessary role in control. So, the robustness of sensors is very important. An Artificial Neural Network was developed and trained to completely recover the sensor fault. Steering Angle Sensor and Torque sensors were used for this research. If one sensor is failed another sensor is used to recover the failed sensor data. Finally, Hardware in Loop testing was done in a commercial heavy-duty vehicle system to verify the recovered sensor performance.

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        GOMS 모델을 기반으로 한 Rapid Prototyping에 관한 연구

        차연주(Yeonjoo Cha),조성식(Sungsik Jo),명노해(Rohae Myung) 대한산업공학회 2011 산업공학 Vol.24 No.1

        The purpose of this research was to develop an integrated interface for the usability test of systems or products in the design process. It is capable of automatically creating GOMS models which can predict human task performances. It can generate GOMS models to be interacted with the prototype interfaces. It can also effectively manage various design information and various usability test results to be implemented into the new product and/or system design. Thus we can perform usability test for products or system prototypes more effectively and also reduce time and effort required for this test. For usability tests, we established an integrated interface based on GOMS model by the LabVIEW program. We constructed the system that the linkage to GOMS model is available. Using this integrated interface, the menu structure of mobile phone can be constructed easily. User can design a depth and a breath that he want. The size of button and the label of the button is changable. The path to the goal can be defined by the user. Using a designed menu structure, the experiment could be performed. The results of GOMS model and the actual time are presented. Besides, values of operators of GOMS model can be defined as the value that user wants. Using the integrated interface that we developed, the optimal menu structure deducted. The menu structure that user wants can be established easily. The optimal layout and button size can be decided by comparison of numerous menu structures. User can choose the method of usability test among GOMS model and empirical data. Using this integrated interface, the time and costs can be saved and the optimal menu structure can be found easily.

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        SVM 기반 소화기 방호한계속도 측정방법 연구

        김종환,백승원,윤병조,조성식,Kim, Jong-Hwan,Baik, Seungwon,Yoon, Byengjo,Jo, Sungsik 한국군사과학기술학회 2016 한국군사과학기술학회지 Vol.19 No.5

        This paper presents a ballistic limit velocity measurement using the support vector machine that classifies two classes, the partial penetration and the complete penetration, by generating a linear separating hyperplane that equally divides the classes. For the ballistic limit velocity measurement, the previous methods(MIL-STD-662F and NIJ-STD-0101.06) have required a large number of experiments that caused high cost and time. However, the proposed method is not only flexible, requiring 0.85 ~ 4.8 times fewer experiments but also reliable, providing less than 2 % difference in results compared to the previous methods. For its validation, live fire experiments were conducted using various thickness SS400 iron plates as a target and two different types of live bullets such as 5.56 mm M193 and 7.62 mm M80.

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