• Journal of Korean Society of Rural Planning
• /
• v.18 no.4
• /
• pp.103-115
• /
• 2012

There are many attempts to develop rural areas by the use of local resources. Local industrialization is a well-known means to found industrialization by the local people using specialized local resources. However, there are many difficulties local people face in the industrialization of these local resources. This is mainly due to local people's lack of experience and knowledge in the development of these resources and the foundation of industrialization in these rural areas require further assistant. This thesis intends to examine the local conditions in order to represent the possibilities and limitations of the industrialization in the use of local resources, Gokseong cotton. We will further suggest various methods & means of these applications and illustrate the efficient approach to development scheme.

• Journal of Korean Society of Rural Planning
• /
• v.1 no.1
• /
• pp.111-124
• /
• 1995

This paper discuss on the strategies for rural economic development Maul purposes of this paper are as follow: First, to review importance of economic promotion in the integrated rural developmental scheme, Second, to identify structural problems of rural economy, and Third, to suggest promotional strategies for the development of rural economy. Economic vitalization is the very important strategy to support daily life of rural population. Since rural economy heavily depends on agricultural sector which has relatively low productivities, diversification of rural economy through introduction of 2nd and 3rd industrial sector is one of the most urgent tasks in rural Korea. Integrated, localized, and planning oriented approaches with reformation of incentive system for the development of rural economy are strongly recommended as new strategies.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.9
• /
• pp.785-798
• /
• 2004

This paper introduces the development of a range sensor based integrated navigation system for a multi-functional indoor service robot, called PSR (Public Service Robot System). The proposed navigation system includes hardware integration for sensors and actuators, the development of crucial navigation algorithms like mapping, localization, and path planning, and planning scheme such as error/fault handling. Major advantages of the proposed system are as follows: 1) A range sensor based generalized navigation system. 2) No need for the modification of environments. 3) Intelligent navigation-related components. 4) Framework supporting the selection of multiple behaviors and error/fault handling schemes. Experimental results are presented in order to show the feasibility of the proposed navigation system. The result of this research has been successfully applied to our three service robots in a variety of task domains including a delivery, a patrol, a guide, and a floor cleaning task.

• Journal of Family Resource Management and Policy Review
• /
• v.17 no.4
• /
• pp.171-187
• /
• 2013

Individuals are increasingly required to take more responsibility for their own retirement. The purpose of this study was to investigate the efficacy of counseling for retirement planning on awareness and behavior related to retirement preparation. The data came from 3,561 adults who received counseling from National Pension Service. The major findings can be summarized as follows : (1) There were significant changes in awareness and behavior for retirement preparation after receiving counseling services ; (2) young age, type of counseling (comprehensive diagnostics for retirement preparation), and counseling method (face-to-face) had a positive effect on changes in awareness and behavior ; and (3) expertise and adequacy of counseling, as well as the attitude of counselors, had an influence on changes in awareness and behavior.

• Proceedings of the KIEE Conference
• /
• 1992.07a
• /
• pp.85-88
• /
• 1992

This paper describes the need of the Database which is designed built with data lot a highly Integrated system for power system planning and operation. The study also, deals plans for and designs of thr highly integrated systems in order to optimize coordination of security and economy of power system planning and operations, as well as to improve the efficiency of data handling

• 제어로봇시스템학회:학술대회논문집
• /
• 1991.10a
• /
• pp.147-151
• /
• 1991

In this paper a time-optimal path planning scheme for the multiple robot manipulators will be proposed by using hopfield neural network. The time-optimal path planning, which can allow multiple robot system to perform the demanded tasks with a minimum execution time and collision avoidance, may be of consequence to improve the productivity. But most of the methods proposed till now suffers from a significant computational burden and thus limits the on-line application. One way to avoid such a difficulty is to rearrange the problem as MTSP(Multiple Travelling Salesmen Problem) and then apply the Hopfield network technique, which can allow the parallel computation, to the minimum time problem. This paper proposes an approach for solving the time-optimal path planning of the multiple robots by using Hopfield neural network. The effectiveness of the proposed method is demonstrated by computer simulation.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.12
• /
• pp.1238-1243
• /
• 2008

This paper presents an HILS(Hardware in the Loop Simulations) based experimental study for the UAV's flight trajectory planning/generation algorithms and guidance/control laws. For the various mission that is loaded on each waypoint, proper trajectory planning and generation algorithms are applied to achieve best performances. Specially, the 'smoothing path' generation and the 'tangent orbit path' guidance laws are presented for the smooth path transitions and in-circle loitering mission, respectively. For the control laws that can minimize the effects of side wind, side slip angle($\beta$) feedback to the rudder scheme is implemented. Finally, being implemented on real hardwares, all the proposed algorithms are validated with integrations of hardware and software altogether via HILS.

• The Journal of Korean Academy of Sensory Integration
• /
• v.5 no.1
• /
• pp.51-63
• /
• 2007

The purpose of this study is to provide definition of proprioception, foundations and roles of neuroanatomy, and systemical review of proprioceptive activities in sensory integration intervention. Proprioception exists in muscle, ligaments, joints and skin and it plays important role in controling body movements and interacting with environment during child development. Proprioception interacting with tactile and vestibular systems contributes to the change of muscle tone, postural control, refinements of planning and praxis. Children who are deficit in proprioceptive processing would seek hypo-responsive proprioceptive input or avoid hyperactive one. Outcome of poor proprioceptive input would cause the problems of praxis and postural control. Because proprioception provides information about the position and movement of body and limb it is important for development of body scheme and motor planning. It also influences the arousal and emotional tone. Sensory integration intervention which provides rich proprioceptive activities will improve the level of arousal and enhance motor planning.

• Journal of the Korea Safety Management & Science
• /
• v.11 no.3
• /
• pp.139-148
• /
• 2009

In a real-life supply chain environment, demand forecasting is usually represented by probabilistic distributions due to the uncertainty inherent in customer demands. However, the customer demand used for an actual supply chain planning is a single deterministic value for each of periods. In this paper we study the choice of single demand value among of the given customer demand distribution for a period to be used in the supply chain planning. This paper considers distributed multi-echelon supply chain and the objective function of this paper is to minimize the total costs, that is the sum of holding and backorder costs over the distribution network under the service level constraint, by using demand selection scheme. Some useful findings are derived from various simulation-based experiments.

• The Journal of Korea Robotics Society
• /
• v.17 no.3
• /
• pp.359-364
• /
• 2022

This study presents a nonlinear model predictive control (NMPC)-based obstacle avoidance and whole-body motion planning method for the mobile manipulators. For the whole-body motion control, the mobile manipulator with an omnidirectional mobile base was modeled as a nine degrees-of-freedom (DoFs) serial open chain with the PPR (base) plus 6R (arm) joints, and a swept sphere volume (SSV) was applied to define a convex hull for collision avoidance. The proposed receding horizon control scheme can generate a trajectory to track the end-effector pose while avoiding the self-collision and obstacle in the task space. The proposed method could be calculated using an interior-point (IP) method solver with 100[ms] sampling time and ten samples of horizon size, and the validation of the method was conducted in the environment of Pybullet simulation.