This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight behind our design consists in deriving the so-called graph shift operator (GSO), which is the cornerstone of Graph Convolutional Neural Network (GCN) and Graph Recursive Neural …
About Me. Hi, I am Weikai (Vica) Yang (), an Assistant Professor at the Data Science and Analytics Thrust (DSA), and jointly appointed at the Computational Media and Arts Thrust (CMA) in Information Hub, the Hong Kong University of Science and Technology (Guangzhou).I received my Ph.D. degree in Software Engineering from Tsinghua University in …
Это пневмомеханический элемент, входящий в тормозную систему грузовиков и автобусов, который запасает энергию для торможения транспортного средства при остановленном двигателе. Принцип работы …
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Toshiba Corporation, Yokohama, Japan 1Toshiba Microelectronics Corporation, Kawasaki, Japan 2Tokyo Institute of Technology, Meguro-ku, Japan Self-Aligned Double and Quadruple Patterning-Aware Grid Routing with Hotspots Control Chikaaki Kodama, Hirotaka Ichikawa 1, Koichi Nakayama, Toshiya Kotani, Shigeki Nojima, Shoji Mimotogi,
the power grid state and in finding a stochastic policy for foresighted voltage control using deep reinforcement learning. Since our design can be adopted in single-phase as well as three-phase unbalanced systems, we test our architecture in both environments. For state forecasting experiments we consider the
This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight behind our design consists in deriving the so-called graph shift operator (GSO), which is the cornerstone of Graph Convolutional Neural Network (GCN) and Graph Recursive Neural …
Although Self-Aligned Double and Quadruple Patterning (SADP, SAQP) have become the most promising processes for sub-20 nm and sub-14 nm node advanced technologies, not all wafer images are realized by them. In advanced technologies, feasible wafer images should be generated effectively by utilizing SADP and SAQP where a wafer image is uniquely …
Codes for grid layout algorithm described in our paper "Cluster-Aware Grid Layout" (TVCG 2023). Node: Download data in Google Drive, and unzip in the root directory. Also need to move the compiled library above to the same directory as the py file. @article{zhou2023clusteraware, title = {Cluster ...
Battery energy storage systems (BESS) with high electrochemical performance are critical for enabling renewable yet intermittent sources of energy such as solar and wind. In recent years, numerous new battery technologies …
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid. Tianyi Zhang and Anshumali Shrivastava International Conference on Learning Representations (ICLR) 2025. IDentity with Locality: An ideal hash for gene sequence search. Tianyi Zhang, Gaurav Gupta, Aditya Desai, Anshumali Shrivastava
which measures are better aligned with human perception in a grid visualization, we conducted a user study to identify the most appropriate measures. These measures are given priority in our layout method. 2.2 Grid Visualizations Initial efforts on grid visualizations randomly assign data samples to the grid cells [34].
Cluster-Aware-Grid-Layout Public thu-vis/Cluster-Aware-Grid-Layout''s past year of commit activity. C++ 5 0 0 0 Updated Jul 17, 2023. View all repositories. People. This organization has no public members. You must be a member to see who''s a …
The whole network is separated into a grid of the same size. The DODAG root is placed on the top of the network area. Fig.1 shows the EGDAS-RPL network model. It consists of grid formation, grid head (GH) selection and GH parent selection. First, the EGDAS-RPL forms the grid based on the side length of the grid.
Combined with Akuo''s SCADA control system, Akuo''s renewable energy storage plant is efficient, reliable and suits all possible client needs: energy smoothing, voltage and frequency …
The grid member''s (GM) send the reply message to the GH node. The GH node starts sending the DODAG Advertisement Object for Grid (DAOG) to the respective GM. Then, the GM nodes send the data packets to the GH. The GH performs the data aggregation operation to avoid the duplicate data. In this work, we varied the aggregation ratio.
In this Review, we present some of the overarching issues facing the integration of energy storage into the grid and assess some of the key …
This project aims to develop high performance and durable Zn-air flow batteries for grid scale energy storage. It is a research project in collaboration with The University of Hong
This paper presents a power-synchronization loop scheme for renewable power generation operated in Grid-Forming (GFM), which considers the DC-connected resource limitations. Under conditions where the resource might not be able to provide the Alternating Current (AC) power required by the GFM structure (e.g. lack of resource), the DC voltage might drop to concerning …
Coverage path planning (CPP) has been extensively studied in the literature but is still an open problem in robotics [].Different approaches have been adopted to classify the problems into (i) increasing the coverage completeness, (ii) reducing the path overlapping, (ii) reducing the energy consumption, (iv) optimising the number of turns, and (v) reducing the …
TCRGrid Enhanced VCL Data-Aware Grid Control TCRDBGrid component addresses extended functionality commonly not found in TDBGrid component. Following picture summarizes capabilities of TCRDBGrid component: Use …
Smart Grid Industry 4.0 (SGI4.0) defines a new paradigm to provide high-quality electricity at a low cost by reacting quickly and effectively to changing energy demands in the highly volatile ...
As an important field of emerging technology, wireless sensor networks (WSN) offer many new possibilities for applications such as target tracking and environmental surveillance by allowing the observer to move around freely. However, disseminating sensing data to the mobile observer raises significant design challenges for the routing scheme. In addition, WSN often …
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Energy efficiency and sustainability are important factors to address in the context of smart cities. In this sense, smart metering and nonintrusive load monitoring play a crucial role in fighting energy thefts and for optimizing the energy consumption of the home, building, city, and so forth. The estimated number of smart meters will exceed 800 million by 2020. By providing near real …
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid Arxiv 2024 . Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP Findings 2024 . EfficientQAT: Efficient Quantization-Aware Training for Large Language Models Arxiv 2024 . LRQ: Optimizing Post-Training Quantization for Large Language Models by ...
Efficient meta-scheduling has been demonstrated to be essential in order to provide quality of service (QoS) in grids. Thus, several proposals have been presented to this end. This paper presents a performance evaluation of an autonomic network-aware meta-scheduler (ANM), compared with another network-aware grid meta-scheduler (Gridbus Broker). Simulation …
На подавляющем большинстве современных грузовиков устанавливаются тормозные камеры с пружинным энергоаккумулятором, обладающим классической конструкцией, разработанной еще в 50-х …
No matter where your home is, D.GRID energy storage protects you from power failure, lets you no longer rely on the grid, and gives you a safe and comfortable home. We attach great importance to the power demand in energy-deficient …
@article{zhou2023clusteraware,n title = {Cluster-Aware Grid Layout},n author = {Zhou, Yuxing and Yang, Weikai and Chen, Jiashu and Chen, Changjian and Shen, Zhiyang and Luo, Xiaonan and Yu, Lingyun and Liu, Shixia},n journal = {IEEE Transactions on Visualization and Computer Graphics (accepted)},n year = {2023}n}n
Grid computing is the key enabling technology to aggregate geographically distributed resources in the context of a particular application. As Grids are extremely distributed systems, requirements on the communication network should also be taken into account when performing usual tasks such as scheduling, migrating or monitoring of jobs.
We introduce a framework for the generation of polygonal grid-shell architectural structures, whose topology is designed in order to excel in static performances. We start from the analysis of stress on the input surface and we use the resulting tensor field to induce an anisotropic non-Euclidean metric over it. This metric is derived by studying the relation …
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