Categorical text generation is an upcoming field within natural language processing focusing on producing text tailored to specific categories or domains. The goal of categorical text production is to produce text tha...
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This study assesses the code generation capabilities of ChatGPT using competitive programming problems from platforms such as LeetCode, HackerRank, and UVa Online Judge. In a novel approach, we contrast ChatGPT’s per...
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A tensor is multi-dimensional generalization of a vector and a matrix in high-dimensional space. Tensor decomposition can represent a high-order tensor into many low-dimensional factors, which can reduce computation a...
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Graph contrastive learning based on augmentation strategies has recently demonstrated remarkable performance. Existing methods typically jointly leverage attribute and structural augmentations to generate graph views,...
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This work proposes a framework for generating datasets that allows users to adjust the APT attack techniques within it. The framework utilizes the MITRE ATT&CK framework to label the attack traffic based on the Ta...
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The HVAC system, energy storage building, distributed power supply, and other equipment are integrated into the scheduling algorithm, which is aimed at reducing household electricity consumption. It is also assumed th...
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ISBN:
(纸本)9798331523923
The HVAC system, energy storage building, distributed power supply, and other equipment are integrated into the scheduling algorithm, which is aimed at reducing household electricity consumption. It is also assumed that users can provide energy to the grid according to their own conditions. Taking electricity cost and comfort level as optimization targets, a home energy optimization control model for the coordinated management of hybrid energy sources is built. A smart scheduling mechanism based on the improved adaptive particle swarm optimization approach is proposed in order to derive the best time intervals for electric appliances, necessary power for the control of the room temperature for every time frame, and power for charging and discharging of the storage battery at various moments. Simulation results show that through the incorporation of distributed photovoltaic power generation, backup storage by battery, and home energy optimization control, the system efficiently balances between user comfort and electricity consumption. This offers great technical support to the development of home energy management systems. By using time-of-use electricity price for energy acquisition and supply, the optimization control goal is minimizing both power use and cost as well as preserving comfort levels. The hybrid energy management's proposed home energy optimization control model uses an adaptive particle swarm optimization algorithm to find the optimal operation schedules of the electrical appliances, the required power for temperature control in a room, and the charge/discharge power level of the storage battery at each time interval. As per the optimization principle, the proposed dynamic programming algorithm converts the multi-stage problem into a sequence of single-stage problems and solves them separately. This method successfully resolves intricate problems that cannot be addressed through greedy algorithms or divide-and-conquer. In this research, management ac
As an important part of digital education, online autonomous learning is expanding its application scope and depth. However, the abnormal learning behaviors associated with it are increasing day by day. Allowing this ...
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The demand for emotional support is increasingly growing. To enhance the effectiveness of models in emotional support conversations, strategy-guided dialogue generation has become a common approach. However, relying s...
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Current human collapse detection methods are plagued by several issues. These methods often rely on manual monitoring or simplistic threshold-based sensor systems, which can be slow to respond and prone to human error...
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With the large-scale application of 5G and artificial intelligence, the optical transmitter will develop to high speed and small size in the future. Aiming at the above needs, this paper proposes a 400G optical transm...
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