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Munasinghe, Helani,Koh, Soon-Mi,Lee, Jehee The Korean Society of Fisheries and Aquatic Scienc 2003 韓國養殖學會誌 Vol.16 No.3
Isolation, cloning and sequencing of red seabream (Pagrus major) somatolactin (rsbSL) cDNA from pituitary gland revealed an open reading frame of 693 bp coding for a pre-growth hormone of 231 amino acids with a 22 amino acid putative signal peptide. Deduced amino acid sequence showed that there was one possible N-glycosylation site at Asn$^{145}$ and seven Cys residues (Cys$_{29}$ , Cys$^{39}$ , Cys$^{66}$ , Cys$^{89}$ , Cys$^{205}$ , Cys$^{222}$ , Cys$^{230}$ ). Except Cys$^{66}$ , others may be involved in disulfide bond formation. The rsbSL presented a 93% amino acid sequence identity with the SL of gilthead seabream (Sparus aurata) and contained the conserved hormone domain region. Expression of rsbSL in E. coli (BL2l) cells and gel analysis revealed a higher molecular weight for rsbSL than expected theoretically, implying posttranslational modifications.
멀티카메라를 활용한 딥러닝 기반 무인판매대를 위한 Noise 및 False Positive 이벤트 감소 파이프라인
위두랑가(Viduranga Munasinghe),이태호(Tae-Ho Lee),이혁재(Hyuk-Jae Lee),김진성(Jin-Sung Kim) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
This paper presents a noise and false positive event reduction pipeline for deep learning-based multicamera automated inventory management in unmanned stores. The system leverages the power of deep learning techniques to accurately identify and manage products. However, challenges arise when products are overlapped or partially obscured, leading to reduced recognition rates and otential errors. To address these issues, we propose an automated purchase-return management system using Ultrafast Shapelet (USF) transformation. Our experimental results demonstrate that the proposed method outperforms alternative approaches, exhibiting higher recognition performance and lower False Positive values. This solution offers a valuable technological alternative for enhancing inventory management accuracy and minimizing errors in unmanned retail stores.
S. Rohan Munasinghe,Masatoshi Nakamura 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2002 International Journal of Assistive Robotics and Me Vol.3 No.2
This paper presents an advanced motion planning algorithm for effective teleoperation of welfare robotic systems. The proposed system includes means to achieve accurate autonomous performance, safety, stability, and user-friendliness. Proposed motion planning algorithm carefully plans precise manipulator motions by considering important constraints, and it uses a hard real-time control of the robot, thereby assures accurate performance. The telerobotic features of the system possess transmission control protocol (TCP) and supervisory control, to assure reliable communication and system stability. A parameterization algorithm was developed to resolve simple user requests into task parameters, thereby improving user-friendliness. Safe performance of the proposed welfare robotic system is assured by motion planning and telerobotic features. An experimental system was implemented within a local area network (LAN), with a Performer MK3s robot manipulator as the welfare robot. In this implementation, remote supervisor accepts and resolves simple user requests into task parameters, and send them to the local controller (LC) for motion planning and robot control. The experimental performance verified the effectiveness of the proposed method.