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This study was conducted to prove the differences in keeping your balance in your golf swing, according to the golfers skill level. Dynamic Balance System was used in this experiment in which 10 subjects(5 skilled, 5 unskilled) participated. The results were as follows; 1) Sway of the center of the balance in golf swing. (1) With any club, all ten golfers had a big sway of balance to the left on the "X" axis, The unskilled golfers had a bigger sway of balance than the skilled golfers. (2) ALL ten golfers had a big sway of balance to the forward on the "Y" axis, The unskilled golfers had a bigger sway of balance than the skilled golfers. (3) Shorter clubs produced higher sway exponents on the graph in all of the ten golfers. (4) With shorter clubs, the five skilled golfers had a bigger sway of balance from right to left on the "X" axis, With longer clubs, the skilled golfers had a bigger sway of balance from front to back on the "Y" axis, With any club length, the unskilled golfers had a bigger sway of balance on the "X" and "Y" axis. 2) The position of your body weight during the swing (1) At the address, the skilled golfers placed approx, 61~65% of their body weight on their left foot, and approx , 36~40% of their weight on the right foot, The golfers placed most of weight on their heels when swinging with #1 wood and most of their weight on their toes when swinging with iron clubs. The unskilled golfers placed approx. 53~61% of their body weight on the left foot, and approx. 40~47% of theft weight on the right foot, With a #1 wood and a #5 iron swing there was a lot of weight on the left foot's heel and right foot's toes. (2) At the top of the back swing, the skilled golfers placed approx, 61~65% of their weight on the left root and approx 69~79% on the right foot according to the clubs, With a N. wood swing, they placed similar weight on their toes and heels. with iron swing, there was a lot of weight on theft right foot's heel. In the case or the unskilled golfers, they placed approx. 69 ~83% of the weight on their left foot and approx. 77~79% on their right foot, they also placed a lot of weight on their right toes when swinging with any club. (3) At the impact, the skilled golfers placed approx, 69~83% of their weight on the left foot and approx 17 ~31% on the right foot according to the clubs, With a #1 wood swing, they placed a lot of weight on theft left heel and there was a lot of weight on their left toes with iron swim the unskilled golfers placed approx, 60~83% of their weight on the left foot and approx, 21~40% of the weight on their right foot. they also placed most of weight when swinging with any club, And before impacting the ball, their right foot's heel was raised up a bit. (4) During the follow through, the skilled golfers placed approx. 92~95% of their might on the left root and approx. 5~8% of the weight on their right foot, They placed a lot of weight on left foot's heel when swinging with a #1 wood and a #5 iron. The unskilled golfers placed approx, 90~95% of the weight on their left root and approx, 5~10% on their right root, they placed a lot of weight on their left foot's heel when swing with a #1 wood and also a lot of weight on their left foot's toes when they swing with iron club.
The Quality Function Deployment(QFD) is a Quality Management technique to maximize customers' satisfaction by reflecting customer requirements into all business processes, including concept definition, product planning, parts planning, process planning, production planning, and sales planning. The basic concept of the QFD is to translate customers' requirements appropriately into engineering characteristics, into parts characteristics, into process characteristics, and into specific requirements and activities in production. In this study, we reviewed and analyzed the application process of the QFD to the development of A2 FATC (Full Automatic Temperature Controller), an automotive component developed and produced by company A. It has been reported that by applying the QFD to the development of A2 FATC, company A achieved 34% improvement in control robustness quality characteristic, 27% improvement in deviation quality characteristic, and 30% improvement in overall quality characteristics.
In this paper, dynamic boundary tracking algorithm using shape matrix is proposed. Previous dynamic boundary tracking algorithm suppose that the number of mobile robots and their order does not change. If the order of mobile robots is change, this algorithm dose not work. So the proposed algorithm use the shape matrix for the dynamic boundary tracking algorithm. And generate the shape matrix at each sampling time. And mobile robots follow the position of shape matrix. Finally, it will be shown in the simulation results that mobile robots converge to a desired boundary irrespective of the order of mobile robots.
본 논문에서는 레이저스캐너만으로 이루어진 감지 시스템을 이용하여 도로 위에 있는 객체의 위치를 추정하고 분류 하는 알고리즘을 제안한다. 각각의 레이저 스캐너에서 획득한 데이터는 그리드 맵을 사용하여 데이터를 융합하였으며, 팽창 연산과 레이블링 방법을 사용하여 측정 오차를 보정하였다. 추출한 객체의 정보(길이, 폭)를 입력으로 사용한 퍼지 방법을 통해 객체를 보행자, 자전거, 차량으로 분류하였으며, 이러한 방법은 레이저스캐너로만 이루어진 감지 시스템의 정확도를 증가시켰다. 또한 본 논문에서는 실제 도로 환경에서 몇 가지 시나리오를 설정하여 실험을 하였다. 실험을 통 해 감지 시스템이 객체를 정확히 분류하는지, GPS-RTK 장비를 사용하여 획득한 위치 정보와 비교하여 객체의 위치 정 보를 정확히 추정하는지 검증하였다. This paper proposes the on-road object detection and classification algorithm by using a detection system consisting of only laser scanners. Each sensor data acquired by the laser scanner is fused with a grid map and the measurement error and spot spaces are corrected using a labeling method and dilation operation. Fuzzy method which uses the object information (length, width) as input parameters can classify the objects such as a pedestrian, bicycle and vehicle. In this way, the accuracy of the detection system is increased. Through experiments for some scenarios in the real road environment, the performance of the proposed detection and classification system for the actual objects is demonstrated through the comparison with the actual information acquired by GPS-RTK.