Multi-device Collaboration Research Articles

Emergency Control Strategy of Hybrid Advanced Traction Power Supply System Based on Multidevice Collaboration

Emergency Control Strategy of Hybrid Advanced Traction Power Supply System Based on Multidevice Collaboration

Desktop Stream

Abstract: The "Desktop Stream" approach is all about breaking barriers between Android devices and desktop computers. It lets you easily access your desktop from your Android, wherever you are. By combining Python for the desktop side and Java for Android, it brings mobility, accessibility, and multi-device collaboration to a whole new level. It uses screen sharing, allowing multiple Android devices to peek at your desktop at the same time. Thanks to a middleware server powered by Firebase and Ngrok, you can work together in real-time, share stuff, and get things done. This approach is perfect for today's world, where remote work and teamwork are crucial. It's built to be user-friendly, secure, and scalable. It turns your desktop into a super-portable resource that you can access from anywhere. "Desktop Stream" is not just a cool idea; it's a practical solution that makes remote desktop access a breeze. In this report, we'll dive into how it works, how we made it happen, and why it's a game-changer for remote collaboration.

Design of a High-Throughput Robotic Batch Microinjection System for Zebrafish Larvae-Based on Image Potential Energy

Microinjection of zebrafish larvae is widely used in vaccine development, drug screening, gene research, etc. Conventional manual injection has the disadvantages of low efficiency and operator-skill dependence. In this article, a high-throughput robotic microinjection system is proposed for zebrafish larvae. For the first time, the image contour-based potential energy algorithm is introduced to judge whether the microneedle has successfully pierced into the zebrafish larva, so as to further decide whether to inject materials into the target sample. The customized microstructured agarose medium can be used to fix batch zebrafish larvae with different poses in standard array for microinjection. A deep learning machine vision approach based on convolutional neural networks is employed to recognize multiple injection target points at one time. The multidevice collaboration achieves continuous and accurate microinjection operations. A prototype system has been fabricated for experimental testing. The results show that the system can quickly inject a batch of zebrafish larvae with a high success rate and high survival rate. Owing to a high degree of automation, the proposed microinjection system greatly reduces the workload of experimenters, saves the experimental cost, and shortens the relevant experimental study period.

Design and Performance Estimation of Mixed-Robotic Fulfillment System

E-commerce retailers face the challenge to assemble a large number of time-critical picking orders. Common parts-to-picker autonomous intelligent warehouses such as automated vehicle storage and retrieval system and robotic mobile fulfillment system are often a little ill-suited for these prerequisites. A mixed-robotic fulfillment system is a hybrid robot picking system based on multi-device collaboration. It is a fusion innovation of traditional automated vehicle storage and retrieval system and robotic mobile fulfillment system. This paper comprehensively considers the characteristics of the system and customer demand, through the construction of a queuing network model to evaluate the performance of the system. A series of problems such as order service time, throughput capacity, and vehicle quantity configuration are analyzed experimentally. The validity of the model is verified by a simulation model.

Study on the mode of intelligent chemical industry based on cyber-physical system and its implementation

Responding to the technological progresses and the emerging trends of chemical industry, the mode of intelligent chemical industry based on cyber-physical system (CPS) was discussed. A structure of CPS for intelligent chemical industry was proposed, followed by the key techniques, including big data techniques and rigorous online modeling. As an example, the intelligent rectification column was elaborated. The structure of the three-agented column was proposed, to improve the optimal control level for the whole process system and promote on-line optimizing control techniques with robustness, in which CPS was the basic platform delivering the functions of surveying, communication, data storage, and computation. The optimal control models of distillation for the whole system were deduced as well; the assessment algorithms of equipment operating status, anomaly recognition, and multi-device collaboration based on the agent-oriented method were also illustrated. The operation results from the propylene rectification column showed that the intelligent rectification column proposed in the study was feasible, and met the operational requirements in terms of feedback time, stability, robustness etc.

Trust-Based Collaboration Service Framework: A Platform for Communication and Content Sharing

This article discusses a novel framework for trust-based multidevice collaboration services. This framework opens up significant scope for applications and collaboration opportunities among heterogeneous devices mimicking human interaction. We present a topology map middleware service and a distributed querying application service that run on top of this framework. We are currently working on addressing the key challenges presented and developing new middleware, application services, and optimization techniques that leverage heterogeneous multidevice collaboration such as colocation detection, determining colocation pattern, and task offloading.