14092 자동차 전장 시스템 중 브레이크 등 상태 감지 시스템 구현 대 한전 자공 학회 2019 - 07 - 29 
 This paper relates to a system for sensing the brake lighting status , which is one of the items for sensing the status of the automobile electric systems . Brake lights are an essential element to send a warning signal to the other following driver when driver have to make a sudden stop while driving . Whether the brake light is normal or abnormal is determined by holding the brake pedal on the foot and checking the lighting status of the brake mounted on the rear of the vehicle , it is very difficult for the driver to check the lighting status of the brake lights unless the other person informs them of the lighting . The system for sensing the brake lighting status sens the brake lighting status and informs the driver directly . The system consists of brake pedal signal part , constant voltage part , reference voltage part , comparison · amplification part and warning signal part . The system manufactured by this study did not generate a warning signal when it was normal lighting but did generate a warning signal when it was not abnormal . Therefore , the configuration of this system is relatively simple and easy to implement , when applied to a real automobile , it will provide one important function for safe driving to all drivers . 
 14091 함정 용 탐색 레이더 전자 빔 보상 알고리즘 개선 대 한전 자공 학회 2019 - 07 - 29 
 This paper addresses about the improvement of the electronic beam stabilization algorithm for surveillance radar . There was a problem in the operation of the radar during the harbor assessment test . It is conducted limit point analysis and improvement verification through analysis of existing electronic beam stabilization algorithm in order to improve this problem . One problem is that the existing electronic beam stabilization algorithm compensated only for high - angle motion . However , the perfomance of searching radar has become stable by eliminating the zig - zag phenomenon by compensating the azimuth direction motion through improvement of algorithm . The paper is aimed at improving reliability and securing performance through software upgrades of the radar which designed to detect target in various sea - sate . 
 14090 3 . 0 T MRI 장비 종류 에 따른 Gadoteridol 의 반응 분석 대 한전 자공 학회 2019 - 07 - 29 
 In this study , we tried to quantify the response of Gadoteridol to various MRI models at the even same 3 . 0 T magnetic field strength . To do this , MR phantom made with 0 . 5 mol of Gadoteriol was prepared and the experiment were conducted by using 3 . 0 T MRI equipment of each different company in clinical field . We obtained the following results in each 750 w , Archeiva , and Skyra devices : RSP was recorded at 20 , 20 , and 50 mmol and the MPSI showed 1377 , 1495 , and 3459 [ a . u . ]. MPP was recorded at 0 . 8 , 0 . 6 , and 4 mmol , and CPFS was 276 . 3 , 716 . 7 , and 287 . 3 [ %]. EPMF recorded 96 . 7 , 47 . 6 and 69 . 1 [ %] respectively , and EPMS showed 640 . 3 , 1105 . 6 and 555 . 1 [ %]. By this study , we confirmed that the response of Gadoteridol is different according to the equipment model at the even same magnetic field strength of 3 . 0 T . Therefore , if we quantify the degree of GBCA response according to the type of MRI equipment in the clinical field , it is considered that a more useful diagnostic MRI scan for enhancement is possible . 
 14089 인공지능 학습 을 이용 한 스마트 안경 의 문자 인식 대 한전 자공 학회 2019 - 07 - 29 
 We applied the gaze point estimation technique to smart glasses such as Google Glass to enhance user ’ s convenience by automatically extracting gazed information when the gaze is fixed to the user ' s interest . The gaze point was estimated by applying the pupil center and the glint direction vector , and the characters at gazed area were recognized from the image of the gaze area by the deep learning technique . The recognized letters and sentences are output as voice for user convenience . The system consists of two USB cameras and speakers based on the Raspberry Pi 3 model . In the proposed system , the accuracy of the character recognition model was 92 % in the learning set and 91 % in the test set . The proposed system is advanced from conventional fixed - system approaches and it informs vocally the semantics of recognized characters when the smart glass wearer moves freely and fixes gazes . Additionally , it can be applied in assisting the visual function or foreign language . 
 14088 Segment 단위 PPG 신호 기반 본인 인식 대 한전 자공 학회 2019 - 07 - 29 
 A study regarding personal authentication based on segmented PPG has been conducted using Hybrid KNN Random Forest algorithm . It is important to divide the PPG data into segments to authenticate the person . When PPG data is divided into segments , each segment is set so that Peak , Qnet , and Dicrotic notch data can be contained in one segment . For the consistency of the data between each segment , the data were preprocessed using normalization and interpolation . Using the preprocessed PPG data , we used a instantaneous frequency based on symmertric higher order differential energy operator and poincare plot using the ratio of SD 1 and SD 2 . Then , the extracted features are used as input variables for machine learning technique such as KNN , Random Forest , Hybrid KNN Random Forest . The accuracy of the algorithms is 78 %, 95 %, 96 % respectively . 
 14087 객체 인식 에서 의 속도 향상 을 위한 모델 앙상블 대 한전 자공 학회 2019 - 07 - 29 
 Object detection is a research field about locating and classifying objects in visual scenes by analysing the visual information . It has been applied in a variety of industrial fields such as autonomous driving and image surveillance . At the early stage of research , a method that compares the features in given image and designed features had been used . Recently , object detection methods based on machine learning , especially convolutional neural network , has shown outstanding performance , compared to the traditional detection methods . In order to increase the accuracy in detection with deep learning method , multiple CNN models can be used jointly , which is called ensemble method , however , with the speed in detection decreasing . In this paper , we propose an ensemble method that increases the speed in object detection , compared to existing ensemble method . The increasement in speed is acquired as concatenating the feature maps which are the output of neural network models . It is proved with experiments that the speed in object detection increases with proposed ensemble method . More efficient way to control GPU memory is expected to enhance the performance in object detection with proposed ensemble method . 
 14086 CMOS 대칭형 전류 전달 트랜스 임피던스 증폭기 대한 전 자공 학회 2019 - 07 - 29 
 This paper presents a symmetric current - conveyor transimpedance amplifier ( SCC - TIA ) realized in a 0 . 13 - μ m CMOS technology for the applications of autonomous unmanned vehicle LiDARs . The current - conveyor input buffer consists of a 1 : 1 symmetric current - mirror to deliver the input photo - currents to the following voltage - mode INV - TIA with no loss . Also , it provides a positive transimpedance gain unlike a traditional voltage - mode TIA . In addition , bootstrap circuit technique is exploited to reduce further the effect of the parasitic photodiode capacitance upon the bandwidth and noise performance . The proposed SCC - TIA occupies the core area of 0 . 28 x 0 . 28 mm 2 . 
 14085 부트스트랩 차동 CMOS 트랜스 임피던스 증폭기 대한 전 자공 학회 2019 - 07 - 29 
 This paper presents a novel bootstrapped fully differential CMOS transimpedance amplifier ( BFD - TIA ) for the applications of unmanned vehicle LiDAR systems or mid - range image processing systems . The mirrored - cascode input stage consists of a cascode input with a feedback resistor and its mirrored differential stage by connecting the inverting output voltage from the drain node of the common - source transistor to the gate of the mirrored differential stage through an AC - coupling capacitor . Moreover , bootstrapping technique is exploited to reduce the direct effect of the notorious photodiode capacitance upon the bandwidth and noise performance in a typical voltage - mode TIA . 
 14084 원전 내 실내 전파 환경 모델 링 및 분석 대 한전 자공 학회 2019 - 07 - 29 
 In this paper , we derived an exclusion zone ( EZ ) according to the position of a transmitting antenna considering indoor environment of nuclear power plant ( NPP ) and compared it with the EZ of free space . As the transmitting antenna was located closer to metallic structures , the maximum distance of the EZ was increased . Based on the results , we have confirmed that further study of the EZ considering the NPP indoor environment is necessary . 
 14083 비선형 HPA 환경 에서 WR - DFT - s - OFDM 시스템 의 성능 평가 대한 전 자공 학회 2019 - 07 - 29 
 WR - OFDM system restores BER performance degradation caused by applying window to reduce OOB power . However , the WR - OFDM system has high PAPR ( Peak - to - Average Power Ratio ) characteristic due to overlapping a lot of subcarriers same as OFDM . The high PAPR degrades BER performance due to HPA ( High Power Amplifier ) non - linearity and increases OOB ( out - of - band ) power of the spectrum . In this paper , we apply DFT - s ( Discrete Fourier Transform Spreading ) technique , known as the PAPR reduction method , to the WR - OFDM system to compare the PAPR , BER performance and the spectrum according to the nonlinear HPA conditions . The Saleh model was used as a nonlinear model and the simulation was performed considering various strength of HPA nonlinearity . Simulation results show that WR - DFT - s - OFDM system exhibits the same spectral characteristics as the WR - OFDM system , but reduces PAPR characteristic and resistants to degradation of BER performance .