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View Planning for Occluded Region with Active Imaging System
Hyunki Lee,Hyungsuck Cho,Deokhwa Hong 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Nowadays, a number of 3D shape measurement methods have been developed such as stereo vision, laser structured light, and Phase Measuring Profilometry (PMP). They have many problems such as correspondence problem, 2π-ambiguity and occlusion problem. Among them, occlusion problem is common problem for 3D shape measurement and well known as difficult to solve. To solve this problem, in our previous research, active imaging system is introduced, which can change the viewing angle without changing of field-of-view (FOV), and can do the FOV with maintaining the viewing angle. And to decide the viewing direction and position, view planning algorithm is developed. The performance of our system is checked by simulation and a series of real experiments.
A 95% accurate EEG-connectome Processor for a Mental Health Monitoring System
Hyunki Kim,Kiseok Song,Taehwan Roh,Hoi-Jun Yoo 대한전자공학회 2016 Journal of semiconductor technology and science Vol.16 No.4
An electroencephalogram (EEG)-connectome processor to monitor and diagnose mental health is proposed. From 19-channel EEG signals, the proposed processor determines whether the mental state is healthy or unhealthy by extracting significant features from EEG signals and classifying them. Connectome approach is adopted for the best diagnosis accuracy, and synchronization likelihood (SL) is chosen as the connectome feature. Before computing SL, reconstruction optimizer (ReOpt) block compensates some parameters, resulting in improved accuracy. During SL calculation, a sparse matrix inscription (SMI) scheme is proposed to reduce the memory size to 1/24. From the calculated SL information, a small world feature extractor (SWFE) reduces the memory size to 1/29. Finally, using SLs or small word features, radial basis function (RBF) kernel-based support vector machine (SVM) diagnoses user’s mental health condition. For RBF kernels, look-up-tables (LUTs) are used to replace the floating-point operations, decreasing the required operation by 54%. Consequently, The EEG-connectome processor improves the diagnosis accuracy from 89% to 95% in Alzheimer’s disease case. The proposed processor occupies 3.8 ㎟ and consumes 1.71 mW with 0.18μm CMOS technology.
Hyunki Hong,Hanjun Kim,B.H. Lee 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
The discontinuity of normal distributions transform (NDT) is caused by the discreteness of regular cells. To overcome the problem, the interpolation method using overlapped regular cells has been proposed and applied to point-to-distribution NDT registration (NDT-P2D). Although the method improves the accuracy of the registration, the accuracy and runtime against the overlap rate has not been analyzed yet. Also, the performance of the state-of-the-art distribution-to- distribution NDT registration (NDT-D2D) using the method has not been evaluated. In this paper, we evaluate the accuracy of NDT-D2D against overlap rate determined by the orthogonal interval of cells and the length of the cell. In experiments, we evaluated the accuracy and runtime against the interval and length respectively.
Growth Patterns of Signet Ring Cell Carcinoma of the Stomach for Endoscopic Resection
( Hyunki Kim ),( Jie-hyun Kim ),( Yong Chan Lee ),( Hoguen Kim ),( Young Hoon Youn ),( Hyojin Park ),( Seung Ho Choi ),( Sung Hoon Noh ),( Takuji Gotoda ) 대한소화기학회 2015 Gut and Liver Vol.9 No.6
Background/Aims: It is difficult to precisely detect the lateral margin during endoscopic submucosal dissection (ESD) for signet ring cell carcinoma (SRC) because SRC often expands to lateral direction through the lamina propria. Thus, the aim of this study was to classify the intramucosal spreading patterns of SRC and to analyze the patients’ clinicopathological findings according to the spreading patterns. Methods: The intramucosal spreading patterns of SRC were classified as expansive or infiltrative types. A total of 100 surgical and 42 ESD specimens were reviewed. Results: In the surgical specimens, the proportions of expansive and infiltrative types were 44% and 56%, respectively. The infiltrative type was more commonly associated with old age, atrophy, and intestinal metaplasia in surrounding mucosa and the absence of Helicobacter pylori compared with the expansive type. In ESD specimens, the proportions of expansive and infiltrative types were each 50%. When lateral margin-positive lesions were compared with -negative lesions, larger size, residual lesion, and the lack of a neutrophil infiltration were more significantly associated with lateral margin-positive lesions.All cases with residual tumors in lateral margin-positive lesions were classified as the infiltrative type. Conclusions: SRC surrounded with atrophy and/or intestinal metaplasia often spreads subepithelially in the margin. This finding may suggest that a larger safety margin is necessary in this type during ESD. (Gut Liver 2015,9:720-726)
Affective Polarization in the 2022 South Korean Presidential Election: Causes and Consequences
Hyunki Shin,Jae-won Yang,Sung Deuk Hahm 한국학술연구원 2024 Korea Observer Vol.55 No.2
In this study, we analyzed the factors that intensified affective polarization among voters during the 2022 South Korean presidential election. We also examined this polarization's effect on their political attitudes, including their satisfaction with democracy, perception of the fairness of elections, and trust in political institutions. We found that the greater the perceived ideological differences between the two parties the People Power Party (PPP) and the Democratic Party ― (DP)―and the more extreme the voter's ideology, the more affective polarization increased. We also found that affective polarization intensified with increasing ideological extremity among all age cohorts except those in their forties. Finally, in contrast to DP supporters, PPP supporters' political attitudes became more negative as their affective polarization increased because the opposing party, the DP, was the governing party. This suggests that affective polarization may polarize support for democratic norms and trust in the political institutions that underpin democracy, depending on one's partisan allegiances.
Investigation of Friction Characteristics of a Tendon Driven Wearable Robotic Hand
HyunKi In,Donsuk Lee,Kyu-Jin Cho 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Wearable robots can assist people with disabilities to perform their daily tasks. However, the size, weight and wearability are important factors in the design because it is worn by the person controlling it. Various disabilities can be assisted with wearable robot technology, from the lower to upper body. The hand is an important part of the body for the disabled to perform their daily tasks. However, compared to the arms or legs, the degree of freedom is much higher, which makes it difficult to fabricate a compact wearable robot. We propose a frameless structure and modified differential mechanism to make the wearable robot compact. For the evaluation and control, it is necessary to analyze the friction force because the mechanism we proposed delivers power through more tube than the previous tendon tube transmission. Different from the previous friction model, we consider the friction at the edge of tube ends. This paper contains the design concept of the developed wearable robotic hand and its friction characteristics.
State observer based sensor less control using Lyapunov's method for boost converters
Hyunki Cho,Sung Jin Yoo,Sangshin Kwak IET 2015 IET power electronics Vol.8 No.1
<P>This study proposes a state observer based sensorless controller using the Lyapunov's direct method for boost converters. The proposed controller derived from the Lyapunov method considers a large-signal model and the non-linearity of the boost converter, which allows accurate output tracking performance and stability. In addition, a state observer is constructed to estimate the inductor current using an output voltage, an input voltage and a switch control signal. The developed observer enables the proposed controller to be realised with no current sensor for the inductor current, and results in a low cost as well as reliable system free from the noise problem associated with the sensor. The non-linear controller incorporated into the observer is designed with appropriate observer gains determined by linear matrix inequalities. Experimental results are presented to verify the stable operation and output tracking capability for large-signal transients of the proposed sensorless controller based on the Lyapunov method.</P>
Key-layered normal distributions transform for point cloud registration
Hyunki Hong,Lee, B. H. IET 2015 Electronics letters Vol.51 No.24
<P>A new scan matching algorithm is proposed using the concept of key layers. In the conventional multi-layered normal distributions transform (MLNDT), the number of layers and iterations per layer are fixed and mismatches in point clouds occur due to the limited number of optimising iterations per layer. Moreover, the accuracy of registration is low and the number of layers is heuristically determined in MLNDT. The proposed key-layered normal distributions transform (KLNDT) works well with both enhanced success rate and accuracy. It is also possible for KLNDT to register in higher layers than the traditional MLNDT.</P>