TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

With the promotion of chatgpt to the public, Large language models indeed showcase remarkable common sense, reasoning, and planning skills, frequently providing insightful guidance. These capabilities hold significant promise for their application in urban traffic management and control. However, LLMs struggle with addressing traffic issues, especially processing numerical data and interacting with simulations, limiting their potential in solving traffic-related challenges. In parallel, specialized traffic foundation models exist but are typically designed for specific tasks with limited input-output interactions. Combining these models with LLMs presents an opportunity to enhance their capacity for tackling complex traffic-related problems and providing insightful suggestions. To bridge this gap, we present TrafficGPT, a fusion of ChatGPT and traffic foundation models. This integration yields the following key enhancements: 1) empowering ChatGPT with the capacity to view, analyze, process traffic data, and provide insightful decision support for urban transportation system management; 2) facilitating the intelligent deconstruction of broad and complex tasks and sequential utilization of traffic foundation models for their gradual completion; 3) aiding human decision-making in traffic control through natural language dialogues; and 4) enabling interactive feedback and solicitation of revised outcomes. By seamlessly intertwining large language model and traffic expertise, TrafficGPT not only advances traffic management but also offers a novel approach to leveraging AI capabilities in this domain. The TrafficGPT demo can be found in https://github.com/lijlansg/TrafficGPT.git

Breaker to Control Center Integrated Protection, Control and Operations Model

Technological advances in electric energy system data acquisition systems, time synchronization, and cyber assets used in power system substations, distribution systems, and control centers offer new opportunities to dramatically improve the practice of monitoring, protection, control, and operation of the system. We can make the computer based new technologies smarter and more intelligent to fully automate the basic protection and control functions. The challenges posed to the system from the continuous deployment of renewable resources that are typically inverter interface resources require monitoring of the system at much higher rates and development of protection and control systems that can respond in much faster rates than for conventional systems and they are immune to the characteristics of the new system, namely reduced fault currents and suppressed negative and zero sequence components of the fault currents. We propose a new system that provides validated data at fast rates (once per cycle), protective relays that are immune to the effects of inverter interfaced generation, detect anomalies, and enable the continuous operation of relays and other functions even in the presence of hidden failures in instrumentation. This system will be able to enable the operators to meet the challenges posed by the evolving power system and provides robust solutions to the new requirements

Training of semiconductor machines based on virtual reality(VR)

The business world is evolving all the way, no matter what seniority level within the organization, there is a need to learn and grasp the new methods or technologies. On job training is one of the training methods which generally carried out in the workplace when employees are working, but it’s a rushed process with low efficiency and cost a period of time, even more accidents can happen during the training. The objective of this project is to design and build up a virtual training system in semiconductor industry through Virtual Reality (VR), so that training can be conducted in a more safety and visualized approach. In this project, we should apply the skill and knowledge to transfer the real factory into a virtual factory with the help of an associate develop software – Unity 3D and a set of VR device, while C# programming language is used in Unity 3D. Compared to the on-job training, training with VR based is more efficiency and more safety, and due to the convenience of the VR, training can be conducted anytime and anywhere immediately.Bachelor of Engineering (Mechanical Engineering

Redox-active organic molecule functionalized graphene electrodes for high-power energy storage applications

In this work, graphene was functionalized by different redox-active molecules. The synthesized materials were fabricated into electrodes for supercapacitors. Electrochemical tests were used to evaluate the specific capacitance and cycling stability. The electrodes were tested with both aqueous and gel electrolyte. The benzoquinone-functionalized graphene electrodes have shown evidences for pseudocapacitance.M.S