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Analysis of Shooting Consistency in Archers: A Dynamic Time Warping Algorithm-Based Approach
Quan, Cheng-Hao,Mohy-Ud-Din, Zia,Lee, Sangmin Hindawi Limited 2017 Journal of sensors Vol.2017 No.-
<P>The shooting consistency of an archer is commonly perceived to be an important determinant of successful scores. Four (n=4) elementary level archers from a middle school in Korea participated in this study. In order to quantify shooting consistency, movement of the bow forearm was measured with an inertia sensor during archery shooting. The shooting consistency was calculated and defined by the dynamic time warping (DTW) algorithm as the distance between two time sequences of acceleration data. Small distance values indicate that the archer has maintained high-level shooting consistency while archery shooting repetitively. To verify the shooting consistency metric, the relationship between scores and shooting consistency is evaluated. The results show that the higher the scores achieved by the archer, the higher is the level of shooting consistency demonstrated.</P>
Cheng-Xi Wei,Li-Ping Guan,Jing-Hao Jia,채규윤,Zhe-Shan Quan 대한약학회 2009 Archives of Pharmacal Research Vol.32 No.1
A series of 2-substituted-6-(4H-1,2,4-triazol-4-yl)benzo[d]oxazoles were synthesized. The anticonvulsant effect and neurotoxicity of the compounds (intraperitoneally) were evaluated with the maximal electroshock (MES) test, subcutaneous pentylenetetrazole (sc-PTZ), and rotarod tests in mice. 2-Phenyl- 6- (4H-1,2,4-triazol-4-yl)benzo[d]oxazole (3g) was the most active and also had the lowest toxicity. In the anti-MES potency test, it showed median effective dose (ED50) of 29.5 mg/kg, a median toxicity dose (TD50) of 285 mg/kg, and a protective index (PI) of 9.7, which is greater than the reference drug, carbamazepine, which has a PI of 6.4.
LIN XU,QUAN LIN,HAO CHENG,CHUANXI WANG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.3
The heterostructure EuSe/Ag nanoparticles (NPs) were prepared through one-step colloidchemical method. Blue °uorescent EuSe NPs were prepared by amine reducing method witholeylamine (OLA) as surface stabilizer. The colloid microemulsion was formed through themixture of AgNO 3 aqueous solution and the EuSe n-Hexane solution. On the interface, Agþionscould be reduced to Ag NPs by OLA. Finally heterogeneous EuSe/Ag NPs were obtained. Thestructure and properties of EuSe NPs and EuSe/Ag NPs were characterized by photo-luminescence (PL), transmission electron microscopy (TEM) and X-ray photoelectron spec-troscopy (XPS). The results showed that the luminescence resonance energy transfer (LRET)occurred on the interface of EuSe NPs and Ag NPs. Also it demonstrated that the linear enhancedLRET e®ect happened with increasing the concentration of Agþ. All these properties make ourheterostructural EuSe/Ag NPs to have interesting potential applications for ions detection andbiosensors.
MSP430 기반 저전력 뇌 신경자극기 S/W 설계 및 구현
홍상표(Sangpyo Hong),권성호(Cheng-Hao Quan),심현민(Hyun-Min Shim),이상민(Sangmin Lee) 대한전자공학회 2016 전자공학회논문지 Vol.53 No.7
인체 삽입형 뇌 신경자극기는 소비전력에 있어서 효율적인 구조로 설계되어야 한다. 이들 자극신호는 파형이 단순하고, MCU(micro controller unit)의 대기시간은 실행시간보다 훨씬 긴 특성을 가짐에도 불구하고, 이러한 특성을 고려한 저전력 설계가 되어 있지 않다. 본 논문에서는 자극신호 특성에 기반하는 저전력 알고리즘을 제안한다. 또한 뇌 신경자극기 S/W, NMS(neuro modulation simulation)의 설계 및 구현 결과도 제시한다. 저전력 알고리즘 구현을 위해, 기존 뇌 신경자극기 프로그램의 함수별 수행(running) 시간을 분석하여, 실행(execution) 시간과 대기(waiting) 시간을 도출하였다. 그리고 AMLPM(active mode-low power mode) 전환시간을 추정하여 저전력 알고리즘 구현에 반영하였다. 본 논문에서 제안하는 저전력 알고리즘은 자극신호의 특성을 이용하여 출력을 다수의 구간으로 분할하고, MCU를 구간별 AM 또는 LPM으로 운용한다. 제안하는 알고리즘의 검증을 위해, 외부 제어프로그램을 개발하여 알고리즘의 동작상태를 확인하였고, 오실로스코프를 이용하여 출력신호의 정확성을 확인하였다. 검증 결과, 제안하는 저전력 알고리즘을 적용할 경우, 기존 뇌 신경자극기 대비 소모전류를 76.31% 감소시킴을 확인 할 수 있었다. A power-efficient neuromodulator is needed for implantable systems. In spite of their stimulation signal’s simplicity of wave shape and waiting time of MCU(micro controller unit) much longer than execution time, there is no consideration for low-power design. In this paper, we propose a novel of low-power algorithm based on the characteristics of stimulation signals. Then, we designed and implement a neuromodulation software that we call NMS(neuro modulation simulation). In order to implement low-power algorithm, first, we analyze running time of every function in existing NMS. Then, we calculate execution time and waiting time for these functions. Subsequently, we estimate the transition time between active mode (AM) and low-power mode (LPM). By using these results, we redesign the architecture of NMS in the proposed low-power algorithm: a stimulation signal divided into a number of segments by using characteristics of the signal from which AM or LPM segments are defined for determining the MCU power reduces to turn off or not. Our experimental results indicate that NMS with low-power algorithm reducing current consumption of MCU by 76.31 percent compared to NMS without low-power algorithm.
조우형(WooHyeong Cho),권성호(Cheng-Hao Quan),권장우(Jang-Woo Kwon),이상민(Sangmin Lee) 대한전기학회 2016 전기학회논문지 Vol.65 No.10
In this paper, we provide a development and evaluation method for an archery posture analyzing system, using an inertial sensor. The system was developed using LabVIEW2014 by National Instruments and evaluated using the DTW algorithm. To convert the voltage value of the inertial sensor into a physical value, a coordinate transformation matrix bias was applied. To evaluate the similarity of movement in archery shooting, the DTW distance was calculated and similarity was confirmed based on simple mechanical movement, the same person’s shooting movement, shooting movement with another person, and the noise signal. The average similarity comparison results were as follows: simple mechanical movement was 17.05%, the same person’s shooting movement was 26.48%, shooting movement with another person was 62.8%, and the noise signal was 328.5%; a smaller value indicates a higher level of similarity. We confirmed the possibility of analyzing the archery posture using 3-axis acceleration of the inertial sensor. We inferred that the proposed method might be important means for assessing shooting skills, evaluation of archer’s progress, and finding talented archers in advance.
저비용 RFID 시스템에서의 충돌방지 알고리즘에 대한 성능평가
권성호,홍원기,이용두,김희철,Quan Cheng-hao,Hong Won-kee,Lee Yong-doo,Kim Hie-cheol 한국통신학회 2005 韓國通信學會論文誌 Vol.30 No.1B
RFID(Radio Frequency IDentification) 기술은 RF 신호를 사용하여 물품에 부착된 전자태그를 비접촉식으로 식별하는 자동인식기술이다. RFID 시스템 구축에 있어 식별영역 내에 다수의 태그가 존재할 경우, 다중태그 식별(multi-tag identification)을 위한 충돌방지(anti-collision) 알고리즘이 필수적으로 요구된다. 태그 충돌방지와 관련된 기존 연구들은 각각 고유한 형태의 코드체계를 기반으로 하고 있으며 태그 식별성능에 대한 비교연구도 부족한 상태이다. 본 논문에서는 저비용(low-cost) RFID 시스템 구축을 목표로 표준화가 진행되고 있는 96-비트 EPC(Electronic Product Code) 코드를 기반으로 기존 대표적인 충돌방지 알고리즘인 트리 기반 메모리래스(tree based memoryless) 충돌방지 알고리즘들과 슬롯 알로하 기반으로 (slot aloha based) 충돌방지 알고리즘들의 성능평가를 수행한다. 성능평가 결과 초당 평균 태그 식별개수에서 충돌 추적 트리(collision tracking tree) 알고리즘이 다른 알고리즘들보다 최소 2배에서 최대 50배 이상의 우수한 성능을 보여준다. RFID(Radio Frequency IDentification) is a technology that automatically identifies objects attached with electronic tags by using radio wave. For the implementation of an RFID system, an anti-collision algorithm is required to identify several tags within the RFID reader's range. Few researches report the performance trade-off among anti-collision algorithms in terms of the communications traffic between the reader and tags, the identification speed, and so on. In this paper, we analyze both tree based memoryless algorithms and slot aloha based algorithms that comprise of almost every class of existing anti-collision algorithms. To compare the performance, we evaluated each class of anti-collision algorithms with respect to low-cost RFID system with 96-bit EPC(Electronic Product Code). The results show that the collision tracking tree algorithm outperforms current tree based and aloha based algorithms by at least 2 times to 50 times.