오늘날 세계화와 지역협력이라는 세계경제의 양면적 발전양상 속에서 우리나라는 동북아 지역에서 거점국가가 될 것을 지향하고 있다. 이러한 목표를 달성하기 위해서는 먼저 개방화정책에 따른 인적 교류가 물적 교류･정보교류가 활성화되어야 하고, 그 기반으로서 출입국관리체계 및 법제도의 개선과 새로운 이민정책의 수립과 국적법 등 관련 법제의 개정이 이루어져야 한다. 이러한 배경에서 본 논문은 미국이나 독일처럼 출입국관리법과 국적법을 전면 개편하여 외국인등록, 난민, 국적, 외국인보호, 국경관리, 체류외국인관리 등을 총괄하는‘이민법(가칭)’을 제정할 것을 제안하였다. 나아가 선박이나 항공을 통한 자유로운 인적교류와 물자교류에 수반하여 나타나는 부정적 현상인 불법입국자에 대한 대책과 외국과 연계된 초국가적 범죄를 예방하기 위한 법제도도 함께 구비해야 한다. 이를 위해서는 각국의 형사사법기관에 의한 범죄예방네트워크를 구축할 필요가 있고, 사후적 예방네트워크로서 동북아 지역에서의 국제적 수사공조체계를 확대하고 심화하기 위하여 형사사법실무기관간의 교류확대와 동북아 지역 국가들 간의 공동수사그룹 등을 창설할 필요가 있다.

It was conducted the experiment, divided into three groups as normal, poor and polycystic ovary syndrome, to detect the change of protein patterns in follicular fluid on ovarian response following controlled ovarian hyperstimulation for human IVF outcome. In the normal group, it was confirmed reproducible 57 spots in the detected total 81 spots. Then 1 spot was not found in the other groups. In the poor responder group, it was found reproducible 53 spots in the detected total 98 spots. 6 spots were down-regulation and 7 spots were up-regulation comparable with normal group. There were not 5 spots in poor responder group comparable with other groups. In the polycystic ovary syndrome group, it was expressed reproducible 53 spots in the detected total 80 spots and 3 spots were just expressed in this group. However, 4 spots were not found in polycystic ovary syndrome. 9 spots were up-regulation comparable with normal group. Significant up and down-regulation spots among the each groups were identified. The results were a cytosolic carboxypeptidase, a signal-induced proliferation-associated protein 1, a ceruloplasmin, a keratin(type Ⅱ cytoskeletal 1), a polypeptide N-acetylgalactosaminyltransferase 2, a serine/threonine-protein phosphatase 4 regulatory subunit 4. It was identified that 8 spots, 6 kinds of protein are corresponded with NCBInr database research, but 10 spots were failed in the identification. In conclusion, it has been confirmed change and expression of protein on the ovarian response following COH of human.

This work presents a design and control method for a flexible robot arm operated by a wire drive that follows human gestures. When moving the robot arm to a desired position, the necessary wire moving length is calculated and the motors are rotated accordingly to the length. A robotic arm is composed of a total of two module-formed mechanism similar to real human motion. Two wires are used as a closed loop in one module, and universal joints are attached to each disk to create up, down, left, and right movements. In order to control the motor, the anti-windup PID was applied to limit the sudden change usually caused by accumulated error in the integral control term. In addition, master/ slave communication protocol and operation program for linking 6 motors to MYO sensor and IMU sensor output were developed at the same time. This makes it possible to receive the image information of the camera attached to the robot arm and simultaneously send the control command to the robot at high speed.

The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many approaches of human-following technology. Many approaches have adopted various multiple sensors such as vision system and Laser Range Finder (LRF). In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. We establish an efficient leg-tracking scheme by exploiting a human walking model to achieve robust tracking under occlusions. The proposed approaches were successfully verified through various experiments.

The paper proposes a human-following behavior of mobile robot and an intelligent space (ISpace) is used in order to achieve these goals. An ISpace is a 3-D environment in which many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed intelligent sensors as stably and precisely as possible. The moving objects is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Uncertainties in the position estimation caused by the point-object assumption are compensated using the Kalman filter. To generate the shortest time trajectory to follow the walking human, the linear and angular velocities are estimated and utilized. The computer simulation and experimental results of estimating and following of the walking human with the mobile robot are presented.