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Triterpenoid Saponins from Vaccaria segetalis
Shengmin Sang,Aina Lao,Hongcheng Wang,Zhongliang Chen,Jun Uzawa,Yasuo Fujimoto 한국생약학회 1998 Natural Product Sciences Vol.4 No.4
Two new triterpenoid saponins, named segetoside D and E, have been isolated from the seeds of Vaccaria segetalis. On the basis of chemical reactions and spectral data, structures of segetoside D and E have been established as: 28-O-[β-D-xylopyranosyl-(1→4)-α-L-rhamnopyranosyl-(1→2)]-[5-O-acetyl-α-arabinofuranosyl(1→3)]-[4-O-acetyl-β-D-fucopyranosyl]-quillaic acid-3-O-[β-D-galactopyranosyl(1→2)]-6-O-methyl ester-β-D-glucuronopyranoside and 28-O-[β-D-xylopyranosyl-(1→4)-α-L-rhamnopyranosyl-(1→2)]-[5-O-acetyl-α-arabinofuranosyl(1→3)]-[4-O-acetyl-β-D-fucopyranosyl]-quillaic acid -3-O-[β-D-galactopyranosyl(1→2)]-6-O-n-butyl ester-β-D-glucuronopyranoside, respectively.
ROS-based Robotic Platform with High-precision stepping motor control
Shengmin Zhao,Sang-Moon Lee,Seung-Hoon Hwang 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Robot technology is rapidly expanding from traditional industrial manufacturing to home services, medical care, education and entertainment, rescue exploration, military applications, and other fields. In this paper, a new Robot Operating System (ROS) based robotic platform is proposed. Robot technology is rapidly expanding from traditional industrial manufacturing to home services, medical care, education, rescue exploration, military applications, etc. In this paper, we propose a Robot Operating System (ROS) based robotic platform with stepping motor which has high precision advantage. This robotic platform is focused on the control of a stepping motor and combination with sensors such as 2D-Lidar, Inertial measurement unit (IMU) to achieve Simultaneous localization and mapping (SLAM) and navigation function. Furthermore, we propose a speed control algorithm for stepping motor, which can convert the speed command published by SBC into a PWM signal. Finally, at the corridor scenario, we tested the 2D-Lidar mapping and autonomous navigation functions of the proposed robotic platform. The experimental results show that under the high precision movement of the stepper motor, the robot platform has good mapping capabilities and high-precision autonomous navigation capabilities in unknown environments. Based on the simulation result, conclusion can be obtained.
Collision Prediction for a Low Power Wide Area Network using Deep Learning Methods
Shengmin Cui,Inwhee Joe 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
A low power wide area network (LPWAN) is becominga popular technology since more and more industrial Internet ofthings (IoT) applications rely on it. It is able to provide long distance wireless communication with great power saving. Given thefact that an LPWAN covers a wide area where all end nodes communicate directly to a few gateways, a large number of devices haveto share the gateway. In this situation, chances are many collisionscould occur, leading to waste of limited wireless resources. However, many factors affecting the number of collisions that cannotbe solved by traditional time series analysis algorithms. Therefore,deep learning methods can be applied here to predict collisions byanalyzing these factors in an LPWAN system. In this paper, wepropose long short-term memory extended Kalman filter (LSTMEKF) model for collision prediction in the LPWAN in terms of thetemporal correlation which can improve the LSTM performance. The efficacies of our models are demonstrated on the data set simulated by LoRaSim.
ShengMin Wang,Changsu Han,SooJung Lee,Ashwin A Patkar,Prakash S Masand,Chi-Un Pae 대한신경정신의학회 2015 PSYCHIATRY INVESTIGATION Vol.12 No.2
We tried to review and update clinical and preclinical studies evaluating vilazodone’s role as an antidepressant for patients with major depressive disorder (MDD). In terms of its mechanism of actions, we sought to elaborate them mainly through preclinical animal studies. A data search was conducted in November 1, 2013, using the key terms “vilazodone” or “Viibryd,” in PubMed and Medline databases. All published and unpublished studies are included and citations from publications were also reviewed for additional references. Five unpublished, phase-II and two pivotal published phase-III clinical trials with nearly identical design (8-week, double-blind, randomized, and placebo-controlled) investigated efficacy of vilazodone, were found for the treatment of patients with MDD. Two post-hoc studies and one long-term open study were also included. Data were thoroughly reviewed to incorporate the pharmacology, action mechanism, efficacy and safety for the vilazodone in the treatment of major depressive disorder. Vilazodone is an antidepressant with novel mechanism of action because its chemical structure is unrelated to conventional antidepressant, and it has a selective serotonin (5-HT) reuptake inhibitor and 5-HT1A receptor partial agonist profile. Vilazodone is an effective and safe treatment option with its novel action mechanisms for patients with depression. Its putative benefits compared with other antidepressants must be thoroughly studied in adequately-powered and well-designed future clinical trials.
Complete coverage path planning scheme for autonomous navigation ROS-based robots
Zhao Shengmin,황승훈 한국통신학회 2024 ICT Express Vol.10 No.1
In this paper, a new Complete Coverage Path Planning (CCPP) scheme is proposed which combines path planning and dynamic tracking for robot operating system-based robots. For the path planning, firstly a sub-area division algorithm is considered to decompose the occupancy map according to the wall or obstacle position after simultaneous localization and mapping process. For each sub-area, an “S” shape path planning is employed, and then a Bidirectional A-star connects them. Additionally, the dynamic tracking ensures that the robot moves continuously. Simulation results show that the coverage ratio of the planning path is improved as 98% by the proposed scheme.