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arXiv 2024年

作者： Yang, Yi Zhang, Qingwen Ikemura, Kei Batool, Nazre Folkesson, John KTH Royal Institute of Technology Stockholm114 28 Sweden Research and Development Scania CV AB Södertälje151 87 Sweden

Addressing hard cases in autonomous driving, such as anomalous road users, extreme weather conditions, and complex traffic interactions, presents significant challenges. To ensure safety, it is crucial to detect and manage these scenarios effectively for autonomous driving systems. However, the rarity and high-risk nature of these cases demand extensive, diverse datasets for training robust models. Vision-Language Foundation Models (VLMs) have shown remarkable zero-shot capabilities as being trained on extensive datasets. This work explores the potential of VLMs in detecting hard cases in autonomous driving. We demonstrate the capability of VLMs such as GPT-4v in detecting hard cases in traffic participant motion prediction on both agent and scenario levels. We introduce a feasible pipeline where VLMs, fed with sequential image frames with designed prompts, effectively identify challenging agents or scenarios, which are verified by existing prediction models. Moreover, by taking advantage of this detection of hard cases by VLMs, we further improve the training efficiency of the existing motion prediction pipeline by performing data selection for the training samples suggested by GPT. We show the effectiveness and feasibility of our pipeline incorporating VLMs with state-of-the-art methods on NuScenes datasets. The code is accessible at https://***/KTH-RPL/Detect_VLM. Copyright © 2024, The Authors. All rights reserved.

关键词： Pipelines

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Multi-factor modelling of electric grids for social and technical impact studies 17

Multi-factor modelling of electric grids for social and tech...

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17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023

作者： Marentes-Ortiz, Rafael Sellier, Franck Gao, Fei Martins, Joao Curci, Ylenia Siemens Digital Industries Software SAS Research Technology Development Lyon France Institut FEMTO-ST UTBM CNRS Belfort France FCT NOVA-UNL CTS UNINOVA Lisbon Portugal Institut FEMTO-ST RECITS UTBM CNRS Belfort France

ISBN: (纸本)9798350300048

This paper proposes a load flow-based approach to analyze electric systems, with the aim of considering multiple factors in grid studies, including technical, social, environmental, and economic factors. The proposed method enables the graphical design of grids, and the seamless integration of models of distributed generation, residential loads, and economic signals, such as day-ahead prices. The validity of the approach is demonstrated by comparing its results against the traditional iterative load flow analysis approach. Several test cases are presented to showcase the model's capabilities in studying economic and environmental factors. Notably, the study of residential loads generated for different scenarios enables the observation of the impact of social factors, such as household size, on the grid. © 2023 IEEE.

关键词： Iterative methods

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China's policy framework for carbon capture,utilization and storage:Review,analysis,and outlook

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Frontiers in Energy 2023年第3期17卷 400-411页

作者： Qiao MA Shan WANG Yan FU Wenlong ZHOU Mingwei SHI Xueting PENG Haodong LV Weichen ZHAO Xian ZHANG National Engineering Laboratory for Reducing Emissions from Coal Combustion Engineering Research Center of Environmental Thermal Technology of the Ministry of EducationShandong Key Laboratory of Energy Carbon Reduction and Resource UtilizationSchool of Energy and Power EngineeringShandong UniversityJinan 250061China The Administrative Center for China's Agenda 21 Beijing 100038China Center for Sustainable Development and Energy Policy Research School of Energy and Mining EngineeringChina University of Mining and Technology(Beijing)Beijing 100083China The Bartlett School of Sustainable Construction University College LondonLondon WC1E 7HBUK

Carbon capture,utilization,and storage(CCUS)is estimated to contribute substantial CO_(2)emission reduction to carbon neutrality in *** is yet a large gap between such enormous demand and the current capacity,and thus a sound enabling environment with sufficient policy support is imperative for CCUS *** study reviewed 59 CCUS-related policy documents issued by the Chinese government as of July 2022,and found that a supporting policy framework for CCUS is taking embryonic form in *** than ten departments of the central government have involved CCUS in their policies,of which the State Council,the National development and Reform Commission(NDRC),the Ministry of Science and technology(MOST),and the Ministry of Ecological Environment(MEE)have given the greatest attention with different *** policy terms are further analyzed following the method of content analysis and categorized into supply-,environment-and demand-type *** results indicate that supply-type policies are unbalanced in policy objectives,as policy terms on technology research and demonstration greatly outnumber those on other objectives,and the attention to weak links and industrial sectors is far from ***-type policies,especially legislations,standards,and incentives,are inadequate in pertinence and ***-type policies are absent in the current policy system but is essential to drive the demand for the CCUS technology in domestic and foreign *** meet the reduction demand of China's carbon neutral goal,policies need to be tailored according to needs of each specific technology and implemented in an orderly manner with well-balanced use on multiple objectives.

关键词： carbon capture utilization and storage(CCUS) policy content analysis China

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Interpretation of possible biogas production capacity by investigating the effects of anaerobic digester tank geometry and angular velocity on flow characteristics

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Environmental Science and Pollution research 2024年第50期31卷 60220-60234页

作者： Celik, Ahmet Fırat Elibol, Emre Askin Turgut, Oguz Senol, Halil Sillanpää, Mika Institute of Natural and Applied Sciences Gazi University Ankara Turkey Department of Mechanical Engineering Faculty of Engineering Giresun University Giresun Turkey Department of Mechanical Engineering Faculty of Engineering Gazi University Ankara Turkey Department of Energy Systems Engineering Faculty of Engineering Giresun University Giresun Turkey Functional Materials Group Gulf University for Science and Technology Mubarak Al-Abdullah32093 Kuwait Adnan Kassar School of Business Lebanese American University Beirut Lebanon Centre of Research Impact and Outcome Chitkara University Institute of Engineering and Technology Rajpura-140401 Punjab India Division of Research & amp Development Lovely Professional University Phagwara-144411 Punjab India Department of Chemical Engineering School of Mining Metallurgy and Chemical Engineering University of Johannesburg P. O. Box 17011 Doornfontein2028 South Africa Department of Civil Engineering University Centre for Research & ampDevelopment Chandigarh University Punjab Gharuan Mohali India Sustainability Cluster School of Advanced Engineering UPES Bidholi Uttarakhand Dehradun248007 India

Mixing performance in reactors producing biogas through anaerobic digestion is one of the parameters that directly affect biogas yield. The most commonly used mixing model for bioreactors in biogas-production processes is mechanical mixing. In the present study, we focus on the geometry of the tank, where the mechanical mixing actually takes place. In this context, by using the six-blade standard Rushton impeller in two different types of tank, flow patterns involving velocity, dead zone volume, turbulent kinetic energy, and turbulent eddy dissipation rate in the angular velocity range of 25–100 rpm were observed, and the possible effects of the results on biogas production were interpreted. A new impeller design was proposed that maximizes the interface between the fluid inside the reactor tank and the impeller, which has the potential to reduce the dead zone volume to significantly lower levels. Our results showed that the lowest dead zone volume was achieved for a 60° slope reactor tank compared to the conventional 90° slope reactor tank at an angular velocity of 100 rpm. The dead zone volume decreased to 0.000094 m3 at 100 rpm in the 60° slope reactor tank with a total volume of 0.0305 m3, which by comparison was 0.000374 m3 in the 90° slope reactor tank. The magnitudes of both maximum turbulent kinetic energy and maximum turbulent eddy dissipation were higher in the 60° slope reactor tank at all angular velocities examined, which would be expected to enhance mixing performance. It is hoped that the reader will benefit from the results of this study;however, further studies should be conducted on the use of actual biowaste as the working fluid instead of water. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Angular velocity

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Transcriptomic analysis reveals the regulation network of BmKruppel homolog 1 in the oocyte development of Bombyx mori

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Insect Science 2021年第1期28卷 47-62页

作者： Zi-Dan Zhu Qi-Hao Hu Chun-Mei Tong Hong-Guang Yang Si-Chun Zheng Qi-Li Feng Hui-Min Deng Guangdong Key Laboratory of Insect Developmental Biology and Applied Technology Guangzhou Key Laboratory of Insect Development Regulation and Application ResearchInstitute of Insect Science and Technology&School of Life SciencesSouth China Normal UniversityGuangzhouChina

Kriippel homolog 1(Kr-hl),a zinc finger transcription factor,is involved in the metamorphosis and adult reproduction of ***,the role of Kr-hl in reproduction of holometabolic insects remains to be *** regulation network of 7-associated genes in the reproduction in Bombyx mori was investigated in this *** higher expression level of BmKr-hl in the ovaries was detected during the late pupal stage and *** interference(RNAi)-mediated depletion of BmKr-hl in the female at day 6 of pupae resulted in abnormal oocytes at 48 h post-double-stranded RNA treatment,which showed less yolk protein deposition and partially transparent ***-seq and subsequent differentially expressed transcripts analysis showed that knockdown of BmKr-hl caused a decrease in the expression of 2882 genes and an increase in the expression of 2565 genes in the oocytes at day 8 of ***,27 genes coding for transcription factors were down-regulated,while six genes coding for other transcription factors were ***-hl bound to the Kr-hl binding site of the transcription factors AP-1(activating protein-1)and FOXG1 to increase their messenger RNA tran・scripts in the BmN cells,*** Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses of that positively co-expressed with AP-1 and FOXG1 transcripts showed mainly enrichment in the metabolic-related pathways,the nu・tri ent absorption and the yolk protein absorption *** data suggested that BmKr-h 1 might directly regulate the metabolic-related pathways,the nutrient absorption and the yolk protein absorption processes or probably through AP-1 and/or FOXG1 to regulate oocyte development.

关键词： Kriippel homolog 1 oocyte development regulatory network RNA interference transcriptomics

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Proactive Interaction Model for L3 Autonomous Driving: research and Practical Application 24

Proactive Interaction Model for L3 Autonomous Driving: Resea...

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3rd International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2024

作者： He, Banben Wen, Yi Luo, Chan Wang, Xiaocui Chen, Qu Li, Chenglong Guo, Xinyi Research & Development Institute Dongfeng Motor Group Wuhan China College of Art and Design Wuhan University of Technology Wuhan China Dongfeng Honda Motor Co. Ltd Dongfeng Motor Group Wuhan China Dongfeng ORV Co. Ltd. Dongfeng Motor Group Wuhan China

ISBN: (纸本)9798400716942

This research focuses on the significance of proactive interaction in L3 autonomous vehicles, aiming to enhance driving safety and user experience through innovative methods. Leveraging existing automotive industry hardware and software technologies, we have developed an innovative proactive interaction model and approach, which has been validated in specific project environments. This study intelligently adjusts driver tasks, significantly reducing driving risks and enabling efficient and smooth interaction between drivers and vehicles. The successful application in Dongfeng Motor Corporation not only provides a valuable reference for the development of autonomous driving technology but also demonstrates the remarkable effectiveness of proactive interaction in improving safety and user experience in L3 autonomous driving. These findings will offer precious guidance and insights for future related research, driving continuous advancements in autonomous driving technology. © 2024 ACM.

关键词： Automotive industry

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Intelligent Air Combat Maneuvering Decision Method of Multi-UAV System Based on TA-MASAC 5

Intelligent Air Combat Maneuvering Decision Method of Multi-...

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5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Zhang, Kai Xu, Yang Liu, Chaolun Zhai, Yangyang School of Civil Aviation Northwestern Polytechnical University Shaanxi Xi'an710072 China Research and Development Institute of Northwestern Polytechnical University in Shenzhen Guangdong Shenzhen518000 China School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Xi'an710072 China

ISBN: (纸本)9798350357950

To meet the cooperation needs of multiple UAVs in the three-dimensional air combat environment, a multi-agent soft actor-critic algorithm based on the maximum entropy and target allocation named TA-MASAC is proposed. Firstly, this paper expands the air combat environment from two-dimensional to three-dimensional and constructs a multi-UAV air combat mission model and decision-making model in the three-dimensional environment. Then, a multi-UAV countermeasure target allocation based on the Hungarian algorithm is proposed, which is introduced into the MASAC algorithm to explore strategies under the condition of effective cluster coordination. Finally, a 2vs2 multi-UA V air combat simulation is carried out, and the proposed algorithm has proved its feasibility and effectiveness. © 2023 IEEE.

关键词： air combat multi-agent system reinforcement learning UAV

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Metamorphic Testing for the Deepfake Detection Model

Metamorphic Testing for the Deepfake Detection Model

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IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： ChenXin Pang Ya Pan Hanli Bai Southwest University of Science and Technology Mianyang Sichuan China China Aerodynamics Research and Development Center Mianyang Sichuan China

Technological advancements in Deepfake enhance its quality and continuously reduce the application threshold. But the illicit utilization of Deepfake brings potential threats to individuals and the country. For safeguarding facial information security, it is crucial to detect the manipulated images and videos through deepfake detection models. It is an important topic of how to guarantee the accuracy, generalization, and significance of these models. Nevertheless, it is hard to obtain test predictions for deepfake detection models which present a notable testing challenge due to their extensive editing capabilities and uncertainties. In order to alleviate test oracle problem in this field, this paper general metamorphic relations based on the practice application scenario from three categories including image post-processing, image inpainting, and modifying the faces using textual prompts. This study founded the highest inconsistency percentage reaching up to 18.77% and the highest AUC percentage decreased by 12.9%. This paper assesses the effectiveness of these six metamorphic relations by employing five Deepfake detection models and evaluating the models' generalization based on result discrepancies. Experimental results show that metamorphic relations constructed can automatically generate high-quality follow-up test cases for identifying inconsistencies and assessing the models' generalization.

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research on Intelligent Energy Management of Fuel Cell Vehicle

Research on Intelligent Energy Management of Fuel Cell Vehic...

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Power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Tian Yang Songmao Wei Zilong Wang Jiashuai Li Peiliang Yu Department of Electrical & Electronic Control Development China Automotive Technology & Research Centre Co. Ltd Tianjin China

With the development of fuel cell technology, how to effectively reduce hydrogen consumption of fuel cell vehicles has become a technical focus and difficulty. This paper proposed an adaptive energy management algorithm which was suitable for fuel cell vehicles. First, the ECMS algorithm considering the durability of the fuel cell was established. In order to ensure the good performance of the ECMS algorithm, an equivalent factor optimization model was established, which adjusted the equivalent factor according to the changes of battery SOC and future velocity. Considering that in the actual driving environment, it was impossible to accurately obtain the upcoming driving velocity in the future. Therefore, it was hard to quickly adjust and select the equivalent factor. This article established a neural network velocity prediction model, and the predicted velocity were provided to the equivalent factor optimization model, and the adaptive energy management algorithm was accomplished. Simulation results showed that the adaptive algorithm reduced hydrogen consumption by 2.6% compared to the basic ECMS algorithm, while battery SOC was in a suitable wording window.

关键词： Adaptation models Hydrogen Predictive models Prediction algorithms Electromagnetic compatibility Fuel cell vehicles Batteries

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IoT-Based Monitoring of KE-55 Milling Machine for Improved Machine Shop Operations

IoT-Based Monitoring of KE-55 Milling Machine for Improved M...

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International Conference on Humanoid, Nanotechnology, Information technology, Communication and Control, Environment and Management (HNICEM)

作者： Franz Joseph D. Libao Nicole Ann Portia U. de Luna Trinmar A. Boado Kim Paulo S. Orquia Department of Science and Technology- Metals Industry Research and Development Center (DOST-MIRDC) Taguig City Metro Manila Philippines

ISBN: (数字)9798350381177

ISBN: (纸本)9798350381184

The paper describes designing and developing a cost-effective machine monitoring system for improved machine shop operations connecting two KE-55 milling machines to the internet to automatically monitor their off, idle, and run status. The machine monitoring system utilized the existing wireless internet network of the Department of Science and technology- Metals Industry research and development Center (DOST-MIRDC) to send the data to a web server from a prototype machine status monitoring device composed of relays and a microcontroller connected to a local PC server running a Python script. Two web applications were developed and tested: one is an interface for the machine shop supervisor to enter a job and assign a specific machine to an operator, and another is an operator interface accessible through a tablet installed above the machine's control panel. The operator interface displays the real-time status of the machine and can manually indicate fault occurrences. Upon testing, it shows that the system helps improve the process of recording the utilization of machines by replacing manual tickets with automatic digital reports.

关键词： Wireless communication Manuals Web servers Recording Machine shops Reliability Monitoring

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