Land Administration and Land Information System Approach in Sri Lanka

Wijenayake, Nelson,장정화 한국국토정보공사 2013 지적과 국토정보 Vol.43 No.2

This study presents a brief introduction about the historical aspects of land administration, land surveying and status of Land Information System (LIS) of Sri Lanka with supported legal framework. Furthermore, the survey plans produced by the Survey Department (SD) as a national organization responsible for land administrative surveys of the country are discussed briefly. The study of the main issue, LIS is also discussed and analyzed with the current situation and strategies followed for recent development in digital environment. Finally the issues need to be developed for the better LIS surroundings are discussed with the author’s own strategies and concluding remarks.

Stereo Vision Based 3D Pose Estimation of Product Labels

Udaya Wijenayake,Eung-Su Kim,Soon-Yong Park 제어로봇시스템학회 2016 제어로봇시스템학회 국내학술대회 논문집 Vol.2016 No.3

Accurate 3D Pose Estimation of Visual Coded Markers

Udaya Wijenayake(우다야 위제나야카),Pathum Rathnayaka(베툼 라쓰나야카),Soon-Yong Park(박순용) 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.6

Patient Respiratory Motion Tracking Using Visual Coded Markers

Udaya Wijenayake(우다야 위제나야키),Soon-Yong Park(박순용) 대한전자공학회 2014 전자공학회논문지 Vol.51 No.12

방사선요법이 암의 치료에 널리 사용되는 방법 중의 하나가 되면서 호흡에 의한 환자 움직임의 정확한 추적은 치료 계획이나 조사량 계산에 있어 매우 중요한 요소가 되고 있다. 호흡에 의한 움직임의 부정확한 추적은 일반 조직의 오류나 높은 준위의 방사선에 노출되는 건강한 조직의 범위를 확대시키는 심각한 논란을 야기할 수 있다. 다양한 호흡 예측에 대한 기술이 연구가 되었지만, 대부분의 기술들은 특정 전자장치나 고가의 부품을 필요로 하였다. 본 논문에서는 기존의 기술에 비하여 저가이고 사용이 간편한 대안으로서 스테레오 비전 기술을 이용하여 시각 코드 타겟을 추출하고 복호화하여 새로운 3차원 호흡 추적 방법을 제안한다. As radiotherapy has become one of the widely used techniques in cancer treatment, accurate tracking of patient’s respiratory motion is considered to be more important in treatment planning and dose calculations. Inaccurate motion tracking can cause severe issues such as errors in target/normal tissue delineation and increasing the volume of healthy tissues exposed to high doses. Different methods have been introduced to estimate the respiratory motion, but most of them require some electronic devices or expensive materials. As an inexpensive and easy to use alternative to the previous methods, we propose a new 3D respiratory motion tracking method by using stereo vision techniques of detecting and decoding visual coded markers.

Stereo Vision-Based 3D Pose Estimation of Product Labels for Bin Picking

Udaya Wijenayake(우다야 위제나야카),Sung-In Choi(최성인),Soon-Yong Park(박순용) 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.1

In the field of computer vision and robotics, bin picking is an important application area in which object pose estimation is necessary. Different approaches, such as 2D feature tracking and 3D surface reconstruction, have been introduced to estimate the object pose accurately. We propose a new approach where we can use both 2D image features and 3D surface information to identify the target object and estimate its pose accurately. First, we introduce a label detection technique using Maximally Stable Extremal Regions (MSERs) where the label detection results are used to identify the target objects separately. Then, the 2D image features on the detected label areas are utilized to generate 3D surface information. Finally, we calculate the 3D position and the orientation of the target objects using the information of the 3D surface.

A process to recover high purity iodine in wastewater from liquid crystal display (LCD) manufacturing industry

Kim, Hong In,Wijenayake, Janaka Jayamini,Mohapatra, Debasish,Rout, Pradeep C. Elsevier 2018 Hydrometallurgy Vol.181 No.-

<P><B>Abstract</B></P> <P>The polarization process during LCD manufacturing generates wastewater containing significant amounts of valuable elements such as iodine and boron. The present paper outlines a process to recover iodine value from wastewater using oxidative precipitation followed by a solvent extraction (SX) technique. With H<SUB>2</SUB>O<SUB>2</SUB> as an oxidant, 95% of iodine was precipitated out at a pH of 0.9 from a wastewater bearing 10.2 g/L of iodide and 0.82 g/L of boron. The remaining iodine, which could not be precipitated due to its low concentration, was recovered by SX using xylene as an organic solvent diluted in kerosene. Quantitative extraction and stripping were achieved using 0.05 M xylene and 0.1 M ascorbic acid at O:A ratios of 1:3 and 6:1, respectively. The purity rates of the iodine produced by the precipitation and SX routes were 99.3% and 99.8%, respectively. The highest separation factor achieved by the iodine‑boron system was 28,900 at an equilibrium pH value of 0.5. The present process is economically and environmentally friendly and therefore, can be used as an alternative industrial technique to recover iodine from wastewater.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Process was developed to recover iodine from LCD industry waste water. </LI> <LI> Quantitative recovery of I<SUB>2</SUB> by combination of oxidative precipitation and SX route. </LI> <LI> H<SUB>2</SUB>O<SUB>2</SUB>was used as oxidant for oxidative precipitation of I<SUB>2</SUB>. </LI> <LI> Boron was not precipitated with iodine with the optimized conditions. </LI> <LI> Purity of I<SUB>2</SUB> achieved by SX and precipitation was 99.8% and 99.3%, respectively. </LI> </UL> </P>

Patient Respiratory Motion Tracking Using Visual Coded Markers

우다야 위제나야키,박순용,Wijenayake, Udaya,Park, Soon-Yong The Institute of Electronics and Information Engin 2014 전자공학회논문지 Vol.51 No.12

As radiotherapy has become one of the widely used techniques in cancer treatment, accurate tracking of patient's respiratory motion is considered to be more important in treatment planning and dose calculations. Inaccurate motion tracking can cause severe issues such as errors in target/normal tissue delineation and increasing the volume of healthy tissues exposed to high doses. Different methods have been introduced to estimate the respiratory motion, but most of them require some electronic devices or expensive materials. As an inexpensive and easy to use alternative to the previous methods, we propose a new 3D respiratory motion tracking method by using stereo vision techniques of detecting and decoding visual coded markers. 방사선요법이 암의 치료에 널리 사용되는 방법 중의 하나가 되면서 호흡에 의한 환자 움직임의 정확한 추적은 치료 계획이나 조사량 계산에 있어 매우 중요한 요소가 되고 있다. 호흡에 의한 움직임의 부정확한 추적은 일반 조직의 오류나 높은 준위의 방사선에 노출되는 건강한 조직의 범위를 확대시키는 심각한 논란을 야기할 수 있다. 다양한 호흡 예측에 대한 기술이 연구가 되었지만, 대부분의 기술들은 특정 전자장치나 고가의 부품을 필요로 하였다. 본 논문에서는 기존의 기술에 비하여 저가이고 사용이 간편한 대안으로서 스테레오 비전 기술을 이용하여 시각 코드 타겟을 추출하고 복호화하여 새로운 3차원 호흡 추적 방법을 제안한다.

3차원 비전 기술을 이용한 라벨부착 소형 물체의 정밀 자세 측정

김응수(Eung-su Kim),김계경(Kye-Kyung Kim),Udaya Wijenayake,박순용(Soon-Yong Park) 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.10

Bin picking is a task of picking a small object from a bin. For accurate bin picking, the 3D pose information, position, and orientation of a small object is required because the object is mixed with other objects of the same type in the bin. Using this 3D pose information, a robotic gripper can pick an object using exact distance and orientation measurements. In this paper, we propose a 3D vision technique for accurate measurement of 3D position and orientation of small objects, on which a paper label is stuck to the surface. We use a maximally stable extremal regions (MSERs) algorithm to detect the label areas in a left bin image acquired from a stereo camera. In each label area, image features are detected and their correlation with a right image is determined by a stereo vision technique. Then, the 3D position and orientation of the objects are measured accurately using a transformation from the camera coordinate system to the new label coordinate system. For stable measurement during a bin picking task, the pose information is filtered by averaging at fixed time intervals. Our experimental results indicate that the proposed technique yields pose accuracy between 0.4~0.5mm in positional measurements and 0.2-0.6° in angle measurements.