This paper proposes a self defined algorithm for multi source power grid dispatching data, which aims to solve the problem of redundancy and duplication of dispatching data in power systems. Firstly, by extracting fea...
This paper proposes a self defined algorithm for multi source power grid dispatching data, which aims to solve the problem of redundancy and duplication of dispatching data in power systems. Firstly, by extracting features from power grid dispatch data, data between different data sources is uniformly formatted and compressed to reduce storage space. Then, a partial deduplication strategy is used to deduplicate the data from each data source. Finally, the experiment was conducted using the indicators of “space compression rate and deduplication rate”. The experimental results show that this algorithm can effectively deduplicate multi-source power grid scheduling data, and has a high deduplication rate and spatial compression rate.
In this paper, a model of the turbine and its regulation system of a typical coal-fired unit is built based on the Matlab/Simulink simulation platform, including the electro-hydraulic regulation system model, the elec...
In this paper, a model of the turbine and its regulation system of a typical coal-fired unit is built based on the Matlab/Simulink simulation platform, including the electro-hydraulic regulation system model, the electro-hydraulic servo mechanism model and the turbine model, and the scientific validity of each model is verified separately. At the same time, the overall model was simulated and verified under grid-connected operating conditions, and the reliability and accuracy of the model in the evaluation of the primary frequency regulation performance of the unit were finally verified.
Cloud computing technology is widely used in power grid systems. In response to the data with strict delay requirements and a large amount of data generated by the operation of the power grid system. New challenges ar...
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Cloud computing technology is widely used in power grid systems. In response to the data with strict delay requirements and a large amount of data generated by the operation of the power grid system. New challenges are raised to the delay of business processing. In order to achieve the goal of minimizing the system average latency time of task processing, based on the power grid dispatching cloud architecture, a delay optimization method based on SDN edge-cloud collaborative computing is proposed. The goal is to minimize the system average delay of task processing. Introduce continuously variable edge and cloud and task distribution coefficients. The delay optimization problem is transformed into the task allocation coefficient optimization problem. And finally get the task allocation optimization strategy based on the model calculation. The experimental results show that when the edge node tasks are reasonably loaded into the cloud center for processing, the system delay of the business can be effectively reduced. Compared with the previous methods, the edge-cloud collaborative computing method proposed in this paper reduces the system delay and utilizes the control mechanism of SDN that can coordinate cloud computing and edge computing. The algorithm can be used in the power system cloud platform system based on SDN.
A Software City is a an established way to visualize metrics such as the test coverage or complexity. As current layouting algorithms are mainly based on the static code structure (e.g., classes and packages), depende...
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ISBN:
(纸本)9789897584886
A Software City is a an established way to visualize metrics such as the test coverage or complexity. As current layouting algorithms are mainly based on the static code structure (e.g., classes and packages), dependencies that are orthogonal to this structure often clutter the visualization and are hard to grasp. This paper applies layered graph drawing to layout a Software City in 3D. The proposed layout takes both the dependencies and the static code structure into account. This minimizes the number of explicitly displayed dependencies. The resulting lower cognitive load makes the software architecture easier to understand. We evaluate the advantages of our layout over a classic layouting algorithm in a controlled study on a real world project.
As the name suggests, this study uses the Open- Pose and MediaPipe frameworks in order to give a thorough analysis of real time human posture detection and identification. Predicting the locations of key body joints i...
As the name suggests, this study uses the Open- Pose and MediaPipe frameworks in order to give a thorough analysis of real time human posture detection and identification. Predicting the locations of key body joints in a person's stance is a typical computervision issue known as human posture identification.” We use the strength of OpenPose and MediaPipe to quickly and reliably identify different positions. Our approach concentrates on particular stances, such as the T-pose, Tree-pose, and Warrior pose, and gives users visual feedback while watching a live camera feed. The system analyses and recognizes postures using a structured output of body key points, confidence ratings, and pixel coordinates. The project runs well under ideal lighting settings and with adequate hardware resources, while it may occasionally lag and show inconsistent behavior under difficult circumstances. Through algorithm optimization and hardware upgrades, future work can overcome these restrictions and improve the system's performance. With potential applications in fitness tracking, virtual reality, and rehabilitation, this study advances the field of human posture detection and recognition.
The present buoy is advancing towards increased intelligence and automation, instigating interest in the evolution of intelligent buoys. The effective detection of water quality data holds the potential to alleviate w...
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ISBN:
(纸本)9798400716775
The present buoy is advancing towards increased intelligence and automation, instigating interest in the evolution of intelligent buoys. The effective detection of water quality data holds the potential to alleviate workload and facilitate real-time data acquisition and anomaly recording in scenarios of unmanned supervision. This paper introduces a buoy system designed for hydrological detection, providing a succinct overview of the design, elucidating the operation of diverse subsystems, and delineating the establishment of the hardware platform. The system underwent corresponding tests in a lake, enabling remote access during the testing phase. The experiment sensor data could be accessed in the cloud, and no anomalies were detected in the environment during the testing period. Furthermore, we bolstered control and detection reliability through the strategic application of data fusion, deliberately progressing toward the advancement of the Internet of Underwater Things (IoUT).
Modern deep learning applications require huge data to deliver required accuracy. In most cases accumulating the required amount of data of sufficient quality is often very difficult and costly. We propose a GAN based...
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ISBN:
(纸本)9781728185194
Modern deep learning applications require huge data to deliver required accuracy. In most cases accumulating the required amount of data of sufficient quality is often very difficult and costly. We propose a GAN based solution to this problem. CycleGAN is a method of unpaired image-to-image translation which transforms the input image to target domain while preserving all the essential features of the input image. We can leverage CycleGAN to generate synthetic data of required quality by choosing the appropriate target domain.
Addressing the issues of excessive redundant nodes, non-smooth paths, and low search efficiency in the path planning process of the traditional A* algorithm, this paper proposes an improved Dynamic Expansion Neighborh...
Addressing the issues of excessive redundant nodes, non-smooth paths, and low search efficiency in the path planning process of the traditional A* algorithm, this paper proposes an improved Dynamic Expansion Neighborhood A* algorithm for optimal path planning. Firstly, building upon the traditional A* algorithm, the search neighborhood is dynamically expanded by combining the 8-neighbor and 24-neighbor search algorithms, dynamically adjusting the search scope to reduce redundant nodes. Secondly, through modification of the heuristic function, introducing weights, and optimizing the estimation function to enhance path search efficiency. Finally, the obtained path is subjected to smoothing processing to eliminate corner sharp points, improving path smoothness. Simulation results demonstrate that the improved A* algorithm outperforms the traditional algorithm in terms of length, node count, and smoothness of the planned path.
One of the greatest challenges for a traffic control system is to synchronize the flow of vehicles to prevent traffic jams. This issue gets worse when there are priority vehicles, such as ambulances, trying to move th...
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This paper points to designing and executing a home appliance automation system specifically for the differently abled. It uses recently developed and booming technologies such as the Internet of Things (IoT) and mach...
This paper points to designing and executing a home appliance automation system specifically for the differently abled. It uses recently developed and booming technologies such as the Internet of Things (IoT) and machine learning along with cloud computing to allow users to control home appliances using gestures and visual signs. The proposed project will work via a central hub through which all devices will run and be connected across the network. It is a highly customizable system that will allow the storage of preferred gestures in case the user needs to. The developed system allows the users to control different equipment such as fans, lights, television, Air Conditioning etc; with gestures. For instance, a user can switch on the AC by performing a certain gesture and turn it off by performing another gesture. It also has an inbuilt alerting system in case there is any failure in the device. The proposed system has the potential to improve the quality of life of deaf people by enabling them to control home appliances more easily and efficiently. By reducing the need for verbal communication, the system can improve their independence and reduce their dependence on caregivers, also bringing down the living costs and increasing accessibility.
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