Research of Statistical Method for the Number of Leaves in Plant Growth Cabinet

With the continuous decrease of arable land, the emergency of plant growth cabinet can efficiently provide people with more high quality green vegetables. The reasonable density in plant growth cabinet becomes our primary problem. The key to reasonable density is reasonable planting density, that is to say, a large coefficient of leaf area (but not too big) is needed. Vegetable leaf’ quantity and the size of the leaf area can reflect whether the plants are in a good condition. It is the key to a reasonable density. But in the process of calculating vegetable leaf number, a problem is that leaves may block each other, which is not desired in subsequent statistic. Therefore this paper proposes a watershed segmentation based on improved marker control in order to get the number of connected components or the number of leaves. The experiment shows that this method can separate the overlapping leaf images effectively and thus successfully solves the target adhesion phenomenon on the subsequent analysis and measurement of interference problem

Research of Real-time Grabbing Yarn Tube System Based on Machine Vision

The current yarn tube manipulator just finishes yarn tube grabbing work according to the fixed coordinates. In the actual production process, equipment problems or human factors which make the spindles not on fixed coordinates cause the damage of the manipulator. Real-time grabbing yarn tube system with visual sensing has been designed and a extraction algorithm of spindles coordinates based on a mixed image morphology and Hough transform algorithm has been proposed. Through the combination of the yarn tube image characteristics which are extracted by the algorithm and the visual measurement model which is established by pinhole imaging principle, the mapping relation of yarn tube image coordinates and world coordinates has been gained to get the location information of yarn tube in real time. Results show that the proposed method could make the robot complete the grabbing job precisely and efficiently, under which the system meet the requirement of spinning and dyeing production line

Remote Laboratory as an Educational Tool in Robotics Experimental Course

A remote lab is a technology that allows participants to efficiently conduct experimental teaching where users can connect to lab equipment from anywhere without being in a specific physical location. The COVID-19 pandemic affects all areas of human activity. ​As a result, students did not receive face-to-face instruction, and access to the laboratory was limited or practically impossible, and access to laboratory facilities has been limited or nearly impossible. Especially in engineering education, students’ practical abilities cannot be developed comprehensively. In this paper, this paper built an online remote robotics experiment system using digital twin (DT) technology and IoT technology and adopted ADDIE (Analysis, Design, Development, Implementation, and Evaluation) teaching method. With these measures, students can design and debug robot programs at home, just like in the laboratory. This study sent questionnaires to 64 students, and 58 were returned. The results show that more than 80% of students believe that the remote labs for industrial robotics courses have improved the efficiency and quality of students' skills training as opposed to virtual simulation and watching videos on the computer

Research of Statistical Method for the Number of Leaves in Plant Growth Cabinet

With the continuous decrease of arable land, the emergency of plant growth cabinet can efficiently provide people with more high quality green vegetables. The reasonable density in plant growth cabinet becomes our primary problem. The key to reasonable density is reasonable planting density, that is to say, a large coefficient of leaf area (but not too big) is needed. Vegetable leaf’ quantity and the size of the leaf area can reflect whether the plants are in a good condition. It is the key to a reasonable density. But in the process of calculating vegetable leaf number, a problem is that leaves may block each other, which is not desired in subsequent statistic. Therefore this paper proposes a watershed segmentation based on improved marker control in order to get the number of connected components or the number of leaves. The experiment shows that this method can separate the overlapping leaf images effectively and thus successfully solves the target adhesion phenomenon on the subsequent analysis and measurement of interference problem

Research of Real-time Grabbing Yarn Tube System Based on Machine Vision

The current yarn tube manipulator just finishes yarn tube grabbing work according to the fixed coordinates. In the actual production process, equipment problems or human factors which make the spindles not on fixed coordinates cause the damage of the manipulator. Real-time grabbing yarn tube system with visual sensing has been designed and a extraction algorithm of spindles coordinates based on a mixed image morphology and Hough transform algorithm has been proposed. Through the combination of the yarn tube image characteristics which are extracted by the algorithm and the visual measurement model which is established by pinhole imaging principle, the mapping relation of yarn tube image coordinates and world coordinates has been gained to get the location information of yarn tube in real time. Results show that the proposed method could make the robot complete the grabbing job precisely and efficiently, under which the system meet the requirement of spinning and dyeing production line

Design for The Indoor Visible Light Communication Application System Based on LED Visible Light

This paper designs an indoor visible light communication application system based on LED. The system can modulate the original signal one or more times, move to a specific frequency band, transmit on the power line, in the LED terminal use this module to decode, restore the Ethernet signals. This design is applicable to the simplicity of the LED visible light communication applications, which provide the premise and guarantee for the construction of smart home network

A Mild Aqueous Sonogashira Reaction as a Fluorescent Labeling Strategy for 5-Bromide-2′-Deoxyuridine

C5-modified uridines are a valuable class of nucleoside analogues, both as potent chemotherapy agents and through their use as the conjunction site in DNA labeling strategies. As an important C5-modified uridine, BrdU has been used in cell proliferation assays since the 1980s. Currently, the detection of BrdU relies on traditional immunostaining; however, this approach has its limitations. Thus, it is desirable, albeit difficult, to develop chemistry methods to fluorescently label BrdU in a cellular context. In the present study, we report our efforts toward developing a robust chemistry methodology for BrdU fluorescent labeling. The Sonogashira reaction was chosen as the key reaction, and various alkynyl groups (aliphatic or aryl) containing fluorescent dyes were synthesized to cross-couple with BrdU. Various bases and catalyst systems were screened to evaluate the optimum conditions. A mild aqueous Sonogashira reaction (K2PdCl4, S-Phos, n-Bu4N+OH−, Sodium d-isoascorbate, EtOH/H2O = 1:1, 37 °C, Ar) was obtained to enable high-yielding BrdU fluorescent labeling

A scalable overlay multicast architecture for large-scale applications

Abstract — In this paper, we propose a Two-tier Overlay Multicast Architecture (TOMA) to provide scalable and efficient multicast support for various group communication applications. In TOMA, Multicast Service Overlay Network (MSON) is advocated as the backbone service domain, while end users in access domains form a number of small clusters, in which an application-layer multicast protocol is used for the communication between the clustered end users. TOMA is able to provide efficient resource utilization with less control overhead, especially for largescale applications. It also alleviates the state scalability problem and simplifies multicast tree construction and maintenance when there are large numbers of groups in the network. To help MSON providers efficiently plan backbone service overlay, we suggest several provisioning algorithms to locate proxies, select overlay links, and allocate link bandwidth. Extensive simulation studies demonstrate the promising performance of TOMA. Index Terms — Network architecture and design, multicast, network management I

Design for The Indoor Visible Light Communication Application System Based on LED Visible Light

This paper designs an indoor visible light communication application system based on LED. The system can modulate the original signal one or more times, move to a specific frequency band, transmit on the power line, in the LED terminal use this module to decode, restore the Ethernet signals. This design is applicable to the simplicity of the LED visible light communication applications, which provide the premise and guarantee for the construction of smart home network