The battery system is vital for the safety and durability of a real-world electric vehicle (EV), prognosis thermal runaway trigged by various abuse conditions critical preventing security incidents, such as spontaneous combustion or explosion. This article presents real-scenario-based on Li(NiCoMn)O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ternary in an actual bus, deriving historical operation data from National Monitoring...

It is very challenging to achieve efficient and deep desulfurization, especially in flue gases with an extremely low SO2 concentration. Herein, we report a microporous metal-organic framework (ELM-12) specific polar sites proper pore size for the highly removal from gas other SO2-containing gases. A high capacity of 61.2 cm3·g-1 combined exceptionally outstanding selectivity SO2/CO2 (30), SO2/CH4 (871), SO2/N2 (4064) under ambient conditions (i.e., 10:90 mixture at 298 K 1 bar) was achieved....

In recent years, China's industrial economy has grown rapidly and steadily. Concurrently, carbon emissions have gradually increased, among which agricultural production is an important source of greenhouse gas emissions. It necessary to reduce by improving their efficiency achieve the global goal peak dioxide in 2030. From a dynamic static point view, this study puts into evaluation index system emission analyzes its influencing factors Hubei Province. First, unexpected output Slacks-based...

The high-speed railway construction involves multiple professional fields, such as design, construction, and supervision. This paper architects the "BIM+" project refined management platform, designs platform's logical architecture, physical solves several key technology difficulties. platform has been applied on Jingxiong Bridge Project achieved all-round, whole-process multi- of engineering it significantly improves level management, plays a role in promoting development informatization.

Gas gush in goaf leads to gas accumulation local areas, which not only easily excessive concentration the corner of working surface but also may induce explosion, seriously threatens safety mine production. In order study influence extraction technology on migration gobs, a gob model is established based experimental parameters, and application effect buried pipe high level borehole gobs analyzed by numerical simulation software (Fluent). The results show that (1) will cause increase along...

Advanced safe battery storage systems with health prognostic performance are vital for electric vehicles. Various faults of lithium-ion batteries usually undetectable in their early stage due to concealment and graduality. This article presents a real-time fault diagnosis isolation scheme real-scenario using the normalized discrete wavelet decomposition. The frequency-domain features signals extracted utilizing high-frequency detail components, multilevel prognosis strategy is developed...

Large Language Models (LLMs) gain substantial reasoning and decision-making capabilities from thought structures. However, existing methods such as Tree of Thought Retrieval Augmented Thoughts often fall short in complex tasks due to the limitations insufficient local retrieval factual knowledge inadequate global selection strategies. These make it challenging for these balance accuracy comprehensive logical optimization effectively. To address limitations, we introduce (RATT), a novel...

Panoramic images provide distinct advantages in odometry applications, which are largely due to their extensive field of view and higher information density captured a single frame. Traditional methods often rely on mapping panoramic onto the planar structure for feature tracking. However, this process introduces uneven distortions features, diminish accuracy tracking odometry, particularly scenarios involving large displacements. In work, we address challenge by introducing novel approach,...

Automatic text summarization focuses on distilling summary information from texts. This research field has been considerably explored over the past decades because of its significant role in many natural language processing tasks; however, two challenging issues block further development: (1) how to yield a model embedding topic inference rather than extending with pre-trained one and (2) merge latent topics into diverse granularity levels. In this study, we propose variational hierarchical...

Assessing factuality of text generated by large language models (LLMs) is an emerging yet crucial research area, aimed at alerting users to potential errors and guiding the development more reliable LLMs. Nonetheless, evaluators assessing necessitate suitable evaluation themselves gauge progress foster advancements. This direction remains under-explored, resulting in substantial impediments evaluators. To mitigate this issue, we introduce a benchmark for Factuality Evaluation Language...

Based on a ±10 kV three-terminal MMC-MVDC (medium voltage DC distribution system based modular multilevel converter) system, in this study, the authors mainly study influencing factors and protection schemes of lightning intruding overvoltage (including direct back-flashover lightning). Firstly, simulation model using overhead lines is established PSCAD/EMTDC program. The influence steady-state operating number converter stations results are simulated analysed. Meanwhile, proper modelling...

摘要: 动力电池热失控是电池故障和失效的终极形式,也是制约新能源汽车大规模推广和应用的主要行业痛点。对动力电池机械滥用失效形式及其引发的热失控特性、机理与防控技术进行全面综述,并指出当前研究中存在的局限性。通过总结归纳典型车辆事故案例和机械滥用热失控防控措施,提出结合实车运行数据复现历史运行工况的研究思路,并提出"故障-冒烟-漏气-起火-爆炸"的动力电池热失控五级演化风险评估模型,通过热失控特征参数指标临界阈值的判定和识别进行机械滥用热失控的预测预警,并根据事故特征采取相应措施抑制热失控的触发和扩散。研究内容和结果对新能源汽车动力电池系统及整车安全性设计具有重要指导意义与推广应用价值。

The polarization imaging technique leverages the disparity between target and background information to mitigate impact of backward scattered light, thereby enhancing image quality. However, model this method exhibits limitations in extracting inter-image features, resulting less-than-optimal outcomes turbid underwater environments. In recent years, machine learning methodologies, particularly neural networks, have gained traction. These renowned for their superior fitting capabilities, can...

Large Language Models (LLMs) gain substantial reasoning and decision-making capabilities from thought structures. However, existing methods such as Tree of Thought Retrieval Augmented Thoughts often fall short in complex tasks due to the limitations insufficient local retrieval factual knowledge inadequate global selection strategies. These make it challenging for these balance accuracy comprehensive logical optimization effectively. To address limitations, we introduce (RATT), a novel...

Domain-specific computing is promising for high-performance low-power execution of applications with similar functionality. In particular, streaming significant functional and structural similarities can tremendously benefit. However, current Design Space Exploration (DSE) focuses on individual in isolation. Hence, much the domain optimization opportunities are missed. DSE methodologies need to broaden scope from isolation optimizing across within a domain. This paper introduces novel...

Heterogeneous accelerator-rich (ACC-rich) platforms combining general-purpose cores and specialized HW accelerators (ACCs) promise high-performance low-power streaming application deployments in a variety of domains, such as video analytics software-defined radio. In order to benefit domain applications, platform exploration tool must take advantage structural functional similarities across applications by allocating common set ACCs. A previous approach proposed genetic (GIDE) that applied...

Many demanding streaming applications share functional and structural similarities with other apps in their respective domain, e.g., video analytics, software-defined radio, radar. This opens the opportunity for specialization (e.g., heterogeneous computing) to achieve needed efficiency and/or performance. However, current design space exploration (DSE) focuses on an individual application isolation one particular vision flow), but not a set of similar applications. Hence, optimizations that...

The urban intersection signal decision-making in traditional control methods are mostly based on the vehicle information within an area. far vehicles that have not reached area taken into account, which results incomplete and even incorrectness decision-making. This paper presents mechanism assisted by information. Using aid of real-time collection for through vehicular ad hoc networks (VANETs), we can consider them together calculate accumulative waiting time each traffic flow at a future...

Detecting user intents from utterances is the basis of natural language understanding (NLU) task. To understand meaning utterances, some work focuses on fully representing via semantic parsing in which annotation cost labor-intentsive. While researchers simply view this as intent classification or frequently asked questions (FAQs) retrieval, they do not leverage shared among different intents. We propose a simple and novel multi-point representation framework with relatively low to...

Heterogeneous accelerator-rich (ACC-rich) platforms combining general-purpose cores and specialized HW accelerators (ACCs) promise high-performance low-power streaming application (app) deployments, e.g. for video analytics, software-defined radio, radar. In order to recover NRE, a unified platform set of applications (apps) is desirable. When apps have functional structural similarities, they can benefit from common ACCs. Identifying the most beneficial ACCs challenging. However, current...