Zobrazeno 1 - 10
of 94
pro vyhledávání: '"CHU Junjie"'
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 5, Pp 25-31 (2023)
In order to reduce energy consumption in data centers and help achieve the goal of “double carbon”, a modular unit for data centers is designed to meet both evaporative cooling and waste heat recovery functions according to the climate conditions
Externí odkaz:
https://doaj.org/article/6ad5772ac23747a8b2734b9e22a0788b
Energy efficiency evaluation of indirect evaporative cooling air conditioning system in data centers
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 5, Pp 46-52 (2023)
Aimed at the difficulty of accurately reflecting the actual effect of the engineering application of the data center's energy consumption evaluation results. This paper, on the basis of the existing data center energy efficiency evaluation index, fro
Externí odkaz:
https://doaj.org/article/e151c9c0e0b546869836462b077458af
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 3, Pp 66-73 (2023)
In order to improve the unit scaling and core corrosion caused by circulating water quality in the practical application of evaporative cooling air conditioning, water quality of three different evaporative cooling air conditioning units, including d
Externí odkaz:
https://doaj.org/article/2f78449c4fc8487394dc3cf27e07775d
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 4, Pp 47-53 (2022)
In order to make full use of outdoor free cooling sources to reduce building air conditioning energy consumption, accurately evaluate the potential of natural ventilation, and guide the selection and utilization of more free cooling systems, a revise
Externí odkaz:
https://doaj.org/article/a46f39257dd846df8f4f5cf4c11c5b25
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 2, Pp 33-39 (2022)
In order to obtain the evaluation and calculation method of indirect evaporative free cooling potential in data center, a new method for evaluating the annual indirect evaporative free cooling potential of data center was proposed based on the divisi
Externí odkaz:
https://doaj.org/article/ec1db6b9a22b45a497d94291687e06fd
Large language models (LLMs) have shown considerable success in a range of domain-specific tasks, especially after fine-tuning. However, fine-tuning with real-world data usually leads to privacy risks, particularly when the fine-tuning samples exist
Externí odkaz:
http://arxiv.org/abs/2409.11423
In the past few decades, the rapid development of information and internet technologies has spawned massive amounts of data and information. The information explosion drives many enterprises or individuals to seek to rent cloud computing infrastructu
Externí odkaz:
http://arxiv.org/abs/2402.06938
Misuse of the Large Language Models (LLMs) has raised widespread concern. To address this issue, safeguards have been taken to ensure that LLMs align with social ethics. However, recent findings have revealed an unsettling vulnerability bypassing the
Externí odkaz:
http://arxiv.org/abs/2402.05668
Significant advancements have recently been made in large language models represented by GPT models. Users frequently have multi-round private conversations with cloud-hosted GPT models for task optimization. Yet, this operational paradigm introduces
Externí odkaz:
http://arxiv.org/abs/2402.02987
Autor:
Liu, Yingxia, Ma, Jinchuan, Chu, Junjie, Sun, Wanchun, Wang, Qiang, Liu, Yangzhi, Zou, Ping, Ma, Junwei
Publikováno v:
In Science of the Total Environment 1 December 2024 954