• Title/Summary/Keyword: Global Registration

Search Result 119, Processing Time 0.022 seconds

Network based Global Mobility Management Scheme Using MPLS LSP and Performance Analysis (MPLS LSP를 활용한 네트워크 기반 글로벌 이동성 관리 방안 및 성능 분석)

  • Kim, Han-Gyol;Choi, Won-Seok;Choi, Seong-Gon
    • The Journal of the Korea Contents Association
    • /
    • v.9 no.7
    • /
    • pp.86-94
    • /
    • 2009
  • We propose a network-based global mobility mechanism between the IP based Access Networks. In the core network, the control message and data transmission were separated for fast location registration. In the local area, by applying the PMIPv6 technology, the network-based mobility was possible. Moreover, when the existing handover scheme compared with the proposed handover scheme, we can see definitely that the handover latency time of the proposed handover scheme has better performance than that of the existing handover scheme.

Tumor Motion Tracking during Radiation Treatment using Image Registration and Tumor Matching between Planning 4D MDCT and Treatment 4D CBCT (치료계획용 4D MDCT와 치료 시 획득한 4D CBCT간 영상정합 및 종양 매칭을 이용한 방사선 치료 시 종양 움직임 추적)

  • Jung, Julip;Hong, Helen
    • Journal of KIISE
    • /
    • v.43 no.3
    • /
    • pp.353-361
    • /
    • 2016
  • During image-guided radiation treatment of lung cancer patients, it is necessary to track the tumor motion because it can change during treatment as a consequence of respiratory motion and cardiac motion. In this paper, we propose a method for tracking the motion of the lung tumors based on the three-dimensional image information from planning 4D MDCT and treatment 4D CBCT images. First, to effectively track the tumor motion during treatment, the global motion of the tumor is estimated based on a tumor-specific motion model obtained from planning 4D MDCT images. Second, to increase the accuracy of the tumor motion tracking, the local motion of the tumor is estimated based on the structural information of the tumor from 4D CBCT images. To evaluate the performance of the proposed method, we estimated the tracking results of proposed method using digital phantom. The results show that the tumor localization error of local motion estimation is reduced by 45% as compared with that of global motion estimation.

Assessment of Pesticide residue for food safety and environment protection (식품 안전성과 환경보존을 위한 농약 잔류성 평가)

  • Oh, Byung-Youl
    • The Korean Journal of Pesticide Science
    • /
    • v.4 no.4
    • /
    • pp.1-11
    • /
    • 2000
  • Since the chemical pesticides have been played a major role in crop protection practices during last 5 to 7 decades, social concerns on the pesticide residues in and on food commodities as well as environmental compartments have also growing with endless demands and interests. Most national regulation authorities over the world have paid a special attention on the data requirements for pesticide registration. In addition, even the registered pesticides also should follow the re-registration process, which meets today's guidelines and regulatory triggers and safety profiles. More recently, a defined interest in the international bodies has given to the global conservation program from the environmental contamination; these involves persistent organic pollutants (POPs), endocrine disrupting chemicals (EDs), biocides, etc.. In order to secure the food safety and keep our circumference sound, in-depth efforts getting information from global networks have perpetually to be given under relevant national agencies. At the same time, a nation-wide survey of the residues has also to be in operation to monitor the tendency of the toxicant in/on foods, feeds, and environmental segments. In final, the scientifically assessed results on safety should be opened to the public to provide the right-to-know for the consumers.

  • PDF

Recognition of 3D Environment for Intelligent Robots (지능로봇을 위한 3차원 환경인식)

  • Jang, Dae-Sik
    • Journal of Internet Computing and Services
    • /
    • v.7 no.5
    • /
    • pp.135-145
    • /
    • 2006
  • This paper presents a novel approach to real-time recognition of 3D environment and objects for intelligent robots. First. we establish the three fundamental principles that humans use for recognizing and interacting with the environment. These principles have led to the development of an integrated approach to real-time 3D recognition and modeling, as follows: 1) It starts with a rapid but approximate characterization of the geometric configuration of workspace by identifying global plane features. 2) It quickly recognizes known objects in environment and replaces them by their models in database based on 3D registration. 3) It models the geometric details on the fly adaptively to the need of the given task based on a multi-resolution octree representation. SIFT features with their 3D position data, referred to here as stereo-sis SIFT, are used extensively, together with point clouds, for fast extraction of global plane features, for fast recognition of objects, for fast registration of scenes, as well as for overcoming incomplete and noisy nature of point clouds. The experimental results show the feasibility of real-time and behavior-oriented 3D modeling of workspace for robotic manipulative tasks.

  • PDF

Recognition and Modeling of 3D Environment based on Local Invariant Features (지역적 불변특징 기반의 3차원 환경인식 및 모델링)

  • Jang, Dae-Sik
    • Journal of the Korea Society of Computer and Information
    • /
    • v.11 no.3
    • /
    • pp.31-39
    • /
    • 2006
  • This paper presents a novel approach to real-time recognition of 3D environment and objects for various applications such as intelligent robots, intelligent vehicles, intelligent buildings,..etc. First, we establish the three fundamental principles that humans use for recognizing and interacting with the environment. These principles have led to the development of an integrated approach to real-time 3D recognition and modeling, as follows: 1) It starts with a rapid but approximate characterization of the geometric configuration of workspace by identifying global plane features. 2) It quickly recognizes known objects in environment and replaces them by their models in database based on 3D registration. 3) It models the geometric details the geometric details on the fly adaptively to the need of the given task based on a multi-resolution octree representation. SIFT features with their 3D position data, referred to here as stereo-sis SIFT, are used extensively, together with point clouds, for fast extraction of global plane features, for fast recognition of objects, for fast registration of scenes, as well as for overcoming incomplete and noisy nature of point clouds.

  • PDF

Analysis of Skin Movements with Respect to Bone Motions using MR Images

  • Ryu, Jae-Hun;Miyata, Natsuki;Kouchi, Makiko;Mochimaru, Masaaki;Lee, Kwan H.
    • International Journal of CAD/CAM
    • /
    • v.3 no.1_2
    • /
    • pp.61-66
    • /
    • 2003
  • This paper describes a novel experiment that measures skin movement with respect to the flexional motion of a hand. The study was based on MR images in conjunction with CAD techniques. The MR images of the hand were captured in 3 different postures with surface markers. The surface markers attached to the skin where employed to trace skin movement during the flexional motion of the hand. After reconstructing 3D isosurfaces from the segmented MR images, the global registration was applied to the 3D models based on the particular bone shape of different postures. Skin movement was interpreted by measuring the centers of the surface markers in the registered models.

3D Multi-floor Precision Mapping and Localization for Indoor Autonomous Robots (실내 자율주행 로봇을 위한 3차원 다층 정밀 지도 구축 및 위치 추정 알고리즘)

  • Kang, Gyuree;Lee, Daegyu;Shim, Hyunchul
    • The Journal of Korea Robotics Society
    • /
    • v.17 no.1
    • /
    • pp.25-31
    • /
    • 2022
  • Moving among multiple floors is one of the most challenging tasks for indoor autonomous robots. Most of the previous researches for indoor mapping and localization have focused on singular floor environment. In this paper, we present an algorithm that creates a multi-floor map using 3D point cloud. We implement localization within the multi-floor map using a LiDAR and an IMU. Our algorithm builds a multi-floor map by constructing a single-floor map using a LOAM-based algorithm, and stacking them through global registration that aligns the common sections in the map of each floor. The localization in the multi-floor map was performed by adding the height information to the NDT (Normal Distribution Transform)-based registration method. The mean error of the multi-floor map showed 0.29 m and 0.43 m errors in the x, and y-axis, respectively. In addition, the mean error of yaw was 1.00°, and the error rate of height was 0.063. The real-world test for localization was performed on the third floor. It showed the mean square error of 0.116 m, and the average differential time of 0.01 sec. This study will be able to help indoor autonomous robots to operate on multiple floors.

Improvement of Digital Identify Proofing Service through Trend Analysis of Online Personal Identification

  • JongBae Kim
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.15 no.4
    • /
    • pp.1-8
    • /
    • 2023
  • This paper analyzes the trends of identification proofing services(PIPSs) to identify and authenticate users online and proposes a method to improve PIPS based on alternative means of resident registration numbers in Korea. Digital identity proofing services play an important role in modern society, but there are some problems. Since they handle sensitive personal information, there is a risk of information leakage, hacking, or inappropriate access. Additionally, online service providers may incur additional costs by applying different PIPSs, which results in online service users bearing the costs. In particular, in these days of globalization, different PIPSs are being used in various countries, which can cause difficulties in international activities due to lack of global consistency. Overseas online PIPSs include expansion of biometric authentication, increase in mobile identity proofing, and distributed identity proofing using blockchain. This paper analyzes the trend of PIPSs that prove themselves when identifying users of online services in non-face-to-face overseas situations, and proposes improvements by comparing them with alternative means of Korean resident registration numbers. Through the proposed method, it will be possible to strengthen the safety of Korea's PIPS and expand the provision of more reliable identification services.

Analysis of Investment Tendencies of Korean Professional Angel Investors: Seeking Strategies for Revitalizing Angel Investment (국내 전문개인투자자의 투자 성향 분석: 엔젤투자 활성화 방안 모색)

  • Lee, Insoo;Joo-Yeoun Lee
    • Journal of the Korean Society of Systems Engineering
    • /
    • v.20 no.spc1
    • /
    • pp.45-55
    • /
    • 2024
  • Amidst the challenges of the global economy, this paper examines the investment tendencies of professional angel investors, who provide venture capital and management consulting, and explores strategies to revitalize angel investment. According to the research findings, professional angel investors are generally older and more educated than regular angel investors, and they are concentrated in the metropolitan region. Additionally, their investment performance before and after registration remains similar, with investment amounts concentrated between 50 million and 100 million won. Their investment portfolios focus on ICT services, bio/medical, and distribution/service sectors. Based on these findings, policy and institutional support measures are required to revitalize angel investment, including easing registration requirements for professional angel investors, expanding tax benefits related to angel investment, strengthening the provision of information and education related to angel investment, and enhancing angel investment networking. This study is expected to contribute to the revitalization of the venture startup ecosystem and economic growth through the revitalization of angel investment.

Vaccines development in India: advances, regulation, and challenges

  • Rakshita Salalli;Jyoti Ram Dange;Sonia Dhiman;Teenu Sharma
    • Clinical and Experimental Vaccine Research
    • /
    • v.12 no.3
    • /
    • pp.193-208
    • /
    • 2023
  • One of the most significant medical advancements in human history is the development of vaccines. Progress in vaccine development has always been greatly influenced by scientific human innovation. The main objective of vaccine development would be to acquire sufficient evidence of vaccine effectiveness, immunogenicity, safety, and/or quality to support requests for marketing approval. Vaccines are biological products that enhance the body's defenses against infectious diseases. From the first smallpox vaccine to the latest notable coronavirus disease 2019 nasal vaccine, India has come a long way. The development of numerous vaccines, driven by scientific innovation and advancement, combined with researcher's knowledge, has helped to reduce the global burden of disease and mortality rates. The Drugs and Cosmetics Rules of 1945 and the New Drugs and Clinical Trials Rules of 2019 specify the requirements and guidelines for CMC (chemistry, manufacturing, and controls) for all manufactured and imported vaccines, including those against coronavirus infections. This article provides an overview of the regulation pertaining to the development process, registration, and approval procedures for vaccines, particularly in India, along with their brief history.