http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Aris Y. C. Lam,Mei Mei Lau,Ronnie Cheung 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.8
This study investigates the role of green perceived value, green trust and perceived quality on the adoption behavior of green consumers. A survey was conducted using a sample of 188 respondents and a partial least squares approach was used to validate the research model. The research results show that both green perceived value and perceived quality have a direct influence on green purchase intention. Green trust also mediates the relationship between green perceived value and green purchase intention, which in turn predicts the purchase behavior of green products. The research results indicate that the drivers of green product adoption are represented by green perceived value, green trust, and perceived quality. Marketers should be putting more emphasis in this relatively new approach of green marketing strategies to induce purchase and adoption of green products by creating competitive advantages for the company.
Aris Y. C. Lam,Mei Mei Lau,Ronnie Cheung 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7
This study investigates the role of green perceived value, green trust and perceived quality on the adoption behavior of green consumers. A survey was conducted using a sample of 188 respondents and a partial least squares approach was used to validate the research model. The research results show that both green perceived value and perceived quality have a direct influence on green purchase intention. Green trust also mediates the relationship between green perceived value and green purchase intention, which in turn predicts the purchase behavior of green products. The research results indicate that the drivers of green product adoption are represented by green perceived value, green trust, and perceived quality. Marketers should be putting more emphasis in this relatively new approach of green marketing strategies to induce purchase and adoption of green products by creating competitive advantages for the company.
( Aris Widagdo ),( Chun Woo Lee ),( Jihoon Lee ) 한국수산과학회(구 한국수산학회) 2015 Fisheries and Aquatic Sciences Vol.18 No.2
We analyzed the small-scale purse-seine gear that is used along the North Coast of Java, Indonesia, using computer-aided tools to modify the gear. Data from the middle position of the leadline showed that the maximum depth reached by the net was 30 m. A similar result was also calculated. According to the calculated result, the mean sinking speed of the current gear at the middle position of the leadline was 0.13 m/s, and the maximum tension during pursing was 1,794 kgf. The best sinking performance was found in modified gear that used a 30.3 mm mesh knotless polyester net. The maximum depth reached by the net was 38 m, and mean sinking speed was 0.16 m/s at the middle position of the leadline. The maximum tension during pursing was 1,044 kgf. Independent sample t-test results show that the mean sinking depth and sinking speed in the simulated and measured results did not differ (P > 0.05). These results are expected to improve the efficiency and selectivity of small-scale purse seine gear.
On low cost model-based monitoring of industrial robotic arms using standard machine vision
Karagiannidisa, Aris,Vosniakos, George C. Techno-Press 2014 Advances in robotics research Vol.1 No.1
This paper contributes towards the development of a computer vision system for telemonitoring of industrial articulated robotic arms. The system aims to provide precision real time measurements of the joint angles by employing low cost cameras and visual markers on the body of the robot. To achieve this, a mathematical model that connects image features and joint angles was developed covering rotation of a single joint whose axis is parallel to the visual projection plane. The feature that is examined during image processing is the varying area of given circular target placed on the body of the robot, as registered by the camera during rotation of the arm. In order to distinguish between rotation directions four targets were used placed every $90^{\circ}$ and observed by two cameras at suitable angular distances. The results were deemed acceptable considering camera cost and lighting conditions of the workspace. A computational error analysis explored how deviations from the ideal camera positions affect the measurements and led to appropriate correction. The method is deemed to be extensible to multiple joint motion of a known kinematic chain.
Buntoro Aris,Prasetyadi C.,Wibowo Ricky Adi,Suranto A. M. 한국자원공학회 2021 Geosystem engineering Vol.24 No.5
Geomechanical analysis using well log can be used to determine the fracable zone. Fracability is a parameter applied in the development of shale hydrocarbon to overcome the weaknesses in determining the fracable zone which was previously only based on high brittleness and considered a good hydraulic fracking candidate. The fracability model from the results of geomechanical analysis is used as the basis for hydraulic fracking planning for the development of Brownshale hydrocarbon in the Bengkalis Trough area, as a case study. Therefore, it has good development prospects. The geomechanical analysis of well BS-03, is the only well that penetrated the Brownshale formation. The geomechanical parameters investigation consists of Young’s modulus, Poisson’s ratio, unixial compressive strength, brittleness index, and the fracability index. Therefore, the fracability model is built by correlating the depth interval of the Brownshale formation and the geomechanical parameters, in order to determine the Brownshale formation interval as the basis for the location selection process and the hydraulic fracking interval. The results of geomechanical analysis show an interesting phenomenon in the fracability index, with negative and positive depth intervals at the top and bottom, respectively. The upper and lower depth intervals represent fracture barrier and fracable zone interval.