• Journal of Institute of Control, Robotics and Systems
• /
• v.19 no.6
• /
• pp.540-546
• /
• 2013

This paper presents a trajectory planning algorithm for TMR (Two-wheeled Mobile Robots). The trajectory is developed in joint space and considers the physical limits of a TMR. First, we present a process for generating a smooth curve through a Bezier curve. The trajectory for the center of the TMR following the Bezier curve is developed through a convolution operator taking into consideration its physical limits. The trajectory along the Bezier curve is regenerated using time-dependent parameters which correspond to the distance driven by the velocity of the center of the TMR in a sampling time. The velocity commands in the Cartesian space are converted to actuator commands for two wheels. In case that the actuator commands exceed the maximum velocity, the trajectory is redeveloped with compensated center velocity. We also suggest a smooth trajectory planning algorithm in joint space for the two segmented paths. Finally, the effectiveness of the algorithm is shown through numerical examples and application to a simulator.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.1081-1091
• /
• 2020

The objective of this study is to disclose the effect of socio-demographic characteristics such as, age and ethnicity which is comprised of Malay, Chinese, Indian and Others on four financial capability domains namely planning ahead, managing money, choosing products and staying informed. A closed ended self-administered questionnaire was disseminated to a total of 2000 respondents among four types of groups which consist of FELDA or rural area residents, private sector employees, government sector employees and youth in institutions of higher learning in Malaysia. Those four groups were selected to cover a wide range of Malaysian population. 500 respondents were involved in this study for each types of groups through purposive sampling technique. Analysis of Variance (ANOVA) and analysis via Statistical Package for Social Science (SPSS) was utilized in this study. The results revealed that age has significant effect on planning ahead, managing money, choosing products and staying informed. Whereas, ethnicities were found to have no effect on financial capability except planning ahead domain. It is suggested that more devotion should be placed on research and professional training in building respondents' financial capability. Furthermore, government and non-government organizations should develop a comprehensive approach to intensify their financial capability and upgrade their standards of living especially of financially vulnerable households.

• Journal of Veterinary Clinics
• /
• v.29 no.1
• /
• pp.63-67
• /
• 2012

Mosquitoes are the vectors of a number of viral diseases in cattle, such as Akabane disease, bovine ephemeral fever, Ainovirus infection, Chuzan virus infection, and Ibaraki disease. These diseases are transmitted from an infected animal to a non-infected host via the blood feeding of the vector. In Korea, the National Veterinary Research and Quarantine Services, Ministry for Food, Agriculture, Forestry and Fisheries is responsible for planning, implementation, laboratory investigations and reporting the results of the national surveillance program for mosquito-borne bovine diseases (MBD). The surveillance program, which was started in 1993, focused to determine the seroprevalence of each disease in cattle herds in space and time. From the epidemiological point of view, more important component of the surveillance program is to monitor infection rates in vectors for specific pathogens because this information is essential for a more precise understanding the dynamics of these diseases in a given environment and for determining risk of transmission. The aim of this study was to describe and compare methods for estimation of vector infection rates using maximum likelihood (MLE) and minimum infection rate in pooled samples. Factors affecting MLE such as number of pools, pooling size and diagnostic test performance are also discussed, assuming some hypothetical sampling scenarios for MBD.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.29 no.4
• /
• pp.61-72
• /
• 2004

In this paper, we design sampling inspections and service capacities simultaneously for multi-products. Particularly, we extend Kim(2003) by introducing the fixed cost of providing services. We show that, due to the fixed cost considered, the cost function of a product is no longer linear or convex in terms of the level of service provision, and the total inspection is prefered to the small level of service capacity which results in high burden of the fixed cost. And we develop a simple framework to deal with this joint design problem for a product. Also we consider the problem of allocating the given number of the total service capacities among products. A dynamic programming algorithm is developed to determine the optimal allocation which minimizes the overall total cost of the system and the optimal allocation can be obtained with the considerably smaller computations than the total number of possible allocations. The results can be used to support planning decisions and to aid the joint design of inspections and service capacities for products.

• The Research Journal of the Costume Culture
• /
• v.25 no.6
• /
• pp.773-786
• /
• 2017

The current study aims to analyze the process of fabric production planning in Dongdaemun Market, which is a successful model case industrial integration in South Korea. We followed the changes in perception among fabric experts, regarding their recognition of fashion trends, and the following planning and process of fabric production. We used the purpose sampling method to select participants for interview in the Dongdaemun Market, then we carried out one-to-one interviews. Our analysis reveals 4 points of importance. First, the fabric planning stage either employed the trend book swatch, or simply reused the model fabrics already available. Even though the experts felt the need to accept the latest fashion trends, very few considered the trends as positive influences in fabric planning. Whereas trend was a key element in identifying the flow of the fashion industry, there were obstacles in carrying out the study. Second, experts frequently participated in domestic fabric seminars, but not in textile exhibitions. Third, domestic and overseas market research has been performed typically at department stores, and typically at Japan. Fourth, the influx of Chinese fabrics has both positive and negative influences, such as low price, and low reliability. In conclusion, experts were less amenable to accepting the latest fashion trends. pre-requisites in real life to meet the use of the current trend of each company. More studies on the Dongdaemun Market from perspectives of practitioners are warranted.

• Journal of Korean Society of Rural Planning
• /
• v.12 no.1 s.30
• /
• pp.49-58
• /
• 2006

Rearing community youth has been main factors of sustainable agriculture and rural community. The purposes of this study were to analyze the leadership skill and organizational commitment of community youth and to investigate the relationship between leadership skill and organizational commitment. The data were collected from 196 rural youth by stratified random sampling. The study was adopted t-test, ANOVA factor analysis and correlation analysis. The major findings of this study were as follows; First, community youth married, wealthier, and expanded farming area were more likely to have leadership life skills than others. Second, community youth wealthier and expanded farming area were more likely to have organizational commitment than others. Third, group activity, being leader, teaming skill, communication self understanding, decision making, language skill among leadership skills have positively correlated with organizational commitment.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.26 no.11
• /
• pp.1770-1781
• /
• 1989

Two robots working in a common workspace may collide with each other. In this paper, a collision-free motion planning algorithm using view time concept is proposed to detect and avoid collision before robot motion. Collision may occur not only at the robot end effector but also at robot links. To detect and avoid potential collisions, the trajectory of the first robot is sampled periodically at every view time and the region in Cartesian space swept by the first robot is viewed as an obstacle during a single sampling period. The forbidden region in the joint constraint map (JCM). The JCM's are obtained in this way at every view time. An algorithm is established for collision-free motion planning of the two robot system from the sequence of JCM's and it is verified by simulations.

• Journal of Ship and Ocean Technology
• /
• v.2 no.1
• /
• pp.42-57
• /
• 1998

Genetic Algorithm (GA) is applied to obtain optimal Inspection plan for fatigue deteriorating structures. The optimization problem is defined so as to minimize inspection cost in the 1ifs-time of the structure under the constraint that the increment of failure probability in each inspection interval is maintained below a target value. Optimization parameters are the inspection timing and the inspection quality. The inspection timing is selected from the discrete intervals such as one year, two years, three years, etc. The inspection quality is selected from the followings; no inspection, normal inspection, sampling inspection or precise inspection. The applicability of the proposed GA approach is demonstrated through the numerical calculations assuming a structure consisting of four member sets. Influences of the level of target failure probability, initial defect condition and stress increase due to plate thickness reduction caused by corrosion on inspection planning are discussed.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.20 no.3
• /
• pp.103-109
• /
• 1992

This research suggest a causal model to investigate factors and variables which significant effects on user satisfaction with city park recreational facilities in Duryu city park in Taegu, and thereby identifying implications for planning and development of urban parks and open space. For this study the data were gathered by self-adminstered questionnares from 993 households selected by the multi-stage probability sampling method. The analysis of the data consists of two phases. The first involves exploratory factor analysis to draw meaningful factors from the data. Three factors were indentified. The second phase test the causal model of this research employing LISREL methodology. On the base of the analysis results, important implications for planning of city park and open space are recommended.

• The Journal of Korea Robotics Society
• /
• v.7 no.2
• /
• pp.150-159
• /
• 2012

In this paper, we propose a cost-aware Rapidly-exploring Random Tree (RRT) path planning algorithm for mobile robots. A mobile robot is presented with a cost map of the field of interest and assigned to move from one location to another. As a robot moves, the robot is penalized by the cost at its current location according to the cost map. The overall cost of the robot is determined by the trajectory of the robot. The goal of the proposed cost-aware RRT algorithm is to find a trajectory with the minimal cost. The cost map of the field can represent environmental parameters, such as temperature, humidity, chemical concentration, wireless signal strength, and stealthiness. For example, if the cost map represents packet drop rates at different locations, the minimum cost path between two locations is the path with the best possible communication, which is desirable when a robot operates under the environment with weak wireless signals. The proposed cost-aware RRT algorithm extends the basic RRT algorithm by considering the cost map when extending a motion segment. We show that the proposed algorithm gives an outstanding performance compared to the basic RRT method. We also demonstrate that the use of rejection sampling can give better results through extensive simulation.