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6th International Conference on Electronic Information technology and Computer engineering, EITCE 2022

作者： Zhong, Juanjuan Li, Jiewei Jin, Hengyu R&D Center Insigma Technology Co. Ltd Zhejiang Hangzhou China Engineering Technology Center Hong Kong Zhuhai Macao Bridge Authority Guangdong Zhuhai China

ISBN: (纸本)9781450397148

In order to fix the problem of running large-scale 3d visual system in non-professional graphics workstations of low computing power equipment such as mobile phones, light laptops, tablet computers and integrated display desktops, this paper proposes a solution based on cloud rendering. This paper mainly studies the underlying principle of cloud rendering, the overall structure design, and specific modules such as control center service, process control service and rendering services. Finally, we also studied the implementation of lightweight front-end rendering SdK. © 2022 Association for Computing Machinery.

关键词： Computing power

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deformable micro-supercapacitor fabricated via laser ablation patterning of Graphene/liquid metal

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npj Flexible Electronics 2024年第1期8卷 770-778页

作者： Keon-Woo Kim Seong Ju Park Su-Jeong Park Inae Kim Bomi Park Se Hyun Kim Unyong Jeong Jin Kon Kim Chanwoo Yang National Creative Research Initiative Center for Hybrid Nano Materials by High-level Architectural Design of Block Copolymer Department of Chemical EngineeringPohang University of Science and Technology(POSTECH)PohangGyeongbuk 37763Republic of Korea Advanced Nano-Surface&Wearable Electronics Research Laboratory Heat and Surface Technology R&D DepartmentKorea Institute of Industrial TechnologyIncheon 21999Republic of Korea Division of Chemical Engineering Konkuk UniversitySeoul 05029Republic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology(POSTECH)PohangGyeongbuk 37763Republic of Korea

deformable andminiaturized energy storage devices are essential for powering soft ***,we fabricate deformablemicro supercapacitors(MSCs)based on eutectic gallium-indium liquidmetal(EGaIn)current collectors with integrated *** well-define interdigitated electrode patterning with controlled gap is successfully realized by using the laser ablation because of a strong laser absorption of graphene and *** judicious control of gap size between neighboring interdigitated electrodes and mass loading of graphene,we achieve a high areal capacitance(1336μF cm^(−2))with reliable rate *** addition,owing to the intrinsic liquid characteristics of EGaIn current collector,the areal capacitance of fabricated MSC retains 90% of original value evenafter repetitive foldingand20%stretching up to 1000 ***,we successfully integrate deformable MSC with a commercial light-emitting diode to demonstrate the feasibility ofMSC as a deformable power *** fabricated MSCs operate stably under various mechanical deformations,including stretching,folding,twisting,and wrinkling.

关键词： laser stretching liquid

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Competitive role of film-like austenite and transition carbides on hydrogen embrittlement resistance and impact toughness in bainite-containing quenched and partitioned steel

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Journal of Iron and Steel research International 2023年第4期30卷 782-794页

作者： Kai Yang Yi Luo Wei Li Li Wang Zhong-qu Sun Jun-liang Liu Xue-jun Jin Bao Steel-SJTU Joint Research Center of Future Steels School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Development and Application Technology of Automotive Steels(Bao Steel) Research Institute(R&D Center)Baoshan Iron&Steel Co.Ltd.Shanghai 200240China

A microstructure composed of martensite matrix,lower bainite,and stable film-like austenite was designed by a quenching and isothermal bainitic holding process in a 0.30C–2.69Mn–1.71Si(wt.%)*** yield strength,tensile strength,and ductile-to-brittle transition temperature(dBTT)of the high-strength steel thus obtained were 1263 MPa,1521 MPa,and-33℃,respectively,and at-20℃,it showed superior low-temperature toughness,which reached 77.5 J/cm^(2).Meanwhile,it showed excellent hydrogen embrittlement(HE)resistance,and the total elongation loss is only 3.1%after 15 min of hydrogen *** excellent comprehensive performance is attributed to the fact that fine stable austenite with film-like morphology hindered the crack nucleation and propagation,and hindered hydrogen diffusion as a hydrogen ***,with a decrease in the isothermal temperature,transition carbide precipitation was accompanied by a further decrease in austenite grain *** this condition,although transition carbides can act as effective hydrogen traps,excessive precipitation decreased the carbon content of retained austenite and increased the deformation heterogeneity between austenite and martensite matrix,leading to weakened austenite stability and HE resistance,a total elongation loss of approximately 39%(15 min hydrogen charging),a sharp decrease in impact toughness,and an increase in *** competitive role of film-like austenite and transition carbides on the comprehensive mechanical performance of steel is revealed,especially the suppression of crack nucleation and propagation that will provide a guide for the design of high strength steels with excellent impact toughness and HE resistance.

关键词： Quenched and partitioned steel Isothermal bainite transformation Transition carbide Hydrogen embrittlement Impact toughness

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Optimization of Hydrogen Lubricated Herringbone Groove Gas Bearings 9

Optimization of Hydrogen Lubricated Herringbone Groove Gas B...

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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Lu, Xv-Jun Tong, Xiao-Meng Cai, Mao-Lin Wu, Wen-Zhi Hu, Yong Automation Science and Electrical Engineering Beihang University Beijing China Information Center Xiamen University of Technology Xianen China R&D Center Shenyang Blower Works Group Corporation Co. Ltd. Shenyang China

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304947

Gas bearings are widely used in large high-speed rotating machineries due to their advantages of low power consumption, independence of sophisticated lubrication systems and high operational accuracy. This study focuses on the modeling of the hydrogen (H2) lubricated herringbone groove bearings, which are designed to support the future high-speed H2 centrifugal compressor for the H2 pipeline transportation, and therefore directly use H2 for lubrication to guarantee the tightness, purity and safety of the H2 transport system. Important bearing parameters including the groove number, depth and other geometric parameters are optimized to improve the bearing load-carrying capacity. The cross-shaped groove demonstrates superior performance compared with the traditional sliding gas bearings under ultra-high speed and low gas supply pressure. CFd simulations in this study show that the herringbone groove bearing based on H2 lubrication can achieve a satisfactory load-carrying capacity with optimized geometries. The current research is an important step towards designing a high-speed H2 centrifugal compressor prototype. © 2023 IEEE.

关键词： Hydrogen

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design of High-Speed SrAM Cell Using FinFET technology 3rd

Design of High-Speed SRAM Cell Using FinFET Technology

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3rd International Conference on Micro and Nanoelectronics devices, Circuits and Systems, MNdCS 2023

作者： Yadavalli, Pavan Kumar Pamarthi, Anusha Teki, deekshitha Sowjanya Ed, Kanmani ruby Sanisetty, Mounika Guha, Koushik Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Electronics and Communication Engineering Andhra Loyola Institute of Engineering and Technology A.P. Vijayawada520008 India Department of ECE National MEMS Design Center National Institute of Technology Assam Silchar788010 India

ISBN: (纸本)9789819944941

In today’s scenario, we can notice that memory takes up more than 85% of the available chip space. For all integrated devices from computers to various handheld devices, there is high requirement of faster and low power-consuming memory systems. Till today, all the memory devices such as SrAM and drAM are mostly using the traditional MOSFETs. As the MOSFET-based memory devices provides the required performance but to further shrink the size of the transistor and to get better power-related outcomes and delay, we have a novel design called FinFET. In order to reduce the short channel effects and to get the acceptable gate control over the channel, FinFET technology can be the better option. In this paper, the design of conventional 6T SrAM cell is done using both MOSFET at 45 nm and FinFET at 14 nm technology nodes in Symica dE tool. The comparison of those designs is made in terms of power consumption and delay parameters. The simulation results demonstrate that FinFET-based SrAM cell offers better performance with less power consumption and delay. Along with the conventional design, SrAM cell is designed under sleep transistor, forced stack, dTMOS, and VTMOS techniques individually and with combinations like dTMOS–sleep transistor, dTMOS–forced stack, VTMOS–sleep transistor, and VTMOS–forced stack with FinFET technology. The simulation results indicate that the sleep-transistor-driven SrAM cell yields best performance in terms of power consumption. Furthermore, the dTMOS using sleep-transistor-based SrAM cell provides less delay compared to other designing techniques. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： FinFET

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A Load Balancing Method of New Energy Specialized Chip Based on Segments division Adjustment 7

A Load Balancing Method of New Energy Specialized Chip Based...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Liu, dehong Xi, Wei Hu, Ming Li, Xiaohua Cai, Zexiang Liang, Xuran China Southern Power Grid Digital Power Grid Research Institute Co. Ltd. Technology R&d Center Guangzhou China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350345094

Currently, there is a growing proportion of distributed new energy in the distribution network. Unlike in the past, the widespread integration of new energy sources brings forth a multi-timescale phenomenon in the electric tasks now. When the new energy specialized chip receives the tasks, the imbalance of load will be strengthened. Consequently, an approach for balancing load is proposed in the context of new energy, which is based on segments division adjustment. The first step involves establishing a resource demand matrix based on the classification and modeling of electric tasks characteristics. Subsequently, the duty cycle adjustment scheme and flattened adjustment scheme are proposed for different segments under the regular scenes. Ultimately, the characteristics of the electric tasks serve as the foundation for the development of a backward flattening processing model in the sudden scenes. The effectiveness of the proposed optimization strategy is demonstrated by the simulation result that it will reduce the imbalance of the resource demand curve in both regular and sudden scenes. © 2023 IEEE.

关键词： Curve fitting

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Basic Study on Cybernic Interface for Amyotrophic Lateral Sclerosis Patients to Perform daily Living Tasks by Transiting Seamlessly Between Cyberspace and Physical Space

Basic Study on Cybernic Interface for Amyotrophic Lateral Sc...

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IEEE/SICE International Symposium on System Integration

作者： Akira Uehara Yoshiyuki Sankai Faculty of Engineering Information and systems Center for Cybernics Research R&D Center for Frontiers of MIRAI in Policy and Technology Ibraki Japan

Amyotrophic lateral sclerosis (ALS) gradually make it difficult for the patients to move, breath, and express their will as their symptoms progress associated with motor neuron. It is important for the patients to be able to not only communicate their daily needs to someone such as family member of caregivers but also perform their daily activities and participate in society and fulfill social roles without constant support by other people. To improve their ability of independence, the purpose of this study is to develop a cybernic interface that can perform daily living tasks by transiting seamlessly between cyberspace and physical space based on the patient's remaining voluntary motor functions, and confirm the basic performance of the developed interface. The system consists of bio-electrical signals measurement unit, display unit, processor unit, and IoT unit. The system controlled the flipping up and down the head-mounted display (HMd) by estimating the intention of transition between cyberspace and physical space based on the bio-electrical signals of the forearm. When the HMd is attached to the user's face, the user can move at the virtual environment, operate IoT device at the room of physical world via virtual environment, and select voice output for expressing own state by the gaze. To confirm the basic performance of the developed interface for performing daily living tasks by oneself, we conducted basic experiment with an able-bodied participant. As a result, the participant was able to flip up the HMd, move at virtual environment, and operate the TV and lock at the physical space without moving own body similar to ALS patients. In conclusion, we confirmed the basic performance of performing daily living tasks to improve the ability of independence for ALS patients. The cybernic interface that can connect central nervous system to cyberspace and physical space has a potential for removing constraints due to motor dysfunctions and spatial limitation.

关键词：

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Power Capability Prediction and Energy Management Strategy of Hybrid Energy Storage System with Air-Cooled System 5th

Power Capability Prediction and Energy Management Strategy o...

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5th International Conference on Energy Storage and Intelligent Vehicles, ICEIV 2022

作者： Wang, Li Wu, Ji du, Ying Liu, Yadong Jiang, Xiuchen Yang, duo School of Automotive and Transportation Engineering Hefei University of Technology Hefei230009 China R&D Center Shanghai Jiao Tong University Shanghai200240 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China

ISBN: (纸本)9789819910267

Hybrid energy storage systems (HESSs) are playing an increasingly important role in smart mobility platforms including electric vehicles. The design of the energy management strategy is the core of making the system rationalize the power distribution and stable operation. The power state and temperature state directly affect the determination of safe operating boundaries in the energy management strategy. In this paper, based on the equivalent circuit model of HESS, a thermoelectric coupling model of battery pack considering air-cooled system is established. In addition, a power capability prediction method considering the constraints of temperature, current, voltage and SOC is proposed and the power capability prediction method is embedded in the energy management strategy based on model predictive control. The experimental results show that the proposed algorithm can further improve the system performance and reduce the system energy consumption. The energy management strategy can provide the optimal power distribution at different air-cooled wind speeds and guarantee the maximum temperature of both the battery pack and the supercapacitor pack are in the normal operating range. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Forecasting

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research and application of drilling rig optimization model 8

Research and application of drilling rig optimization model

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8th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2024

作者： Xiao, Yue Zhou, Tuo Liu, Guojun Chen, Xuanren Kong, Xiangji Zhang, Yu Liu, Longlong diao, Shunong PetroChina International Exploration and Development Co. Ltd Overseas Drilling and Completion Technology Center Cnpc Engineering Technology R&d Co. Ltd Beijing China PetroChina International Exploration and Development Co. Ltd Beijing China Changchun University of Technology Changchun China Beijing China

ISBN: (纸本)9798331506230

The optimal selection of drilling rigs is crucial for the rational arrangement of drilling rigs in multi operation teams, the improvement of moving operation management level, and the enhancement of drilling operation quality and efficiency. At present, the optimal selection of drilling rigs only considers whether the drilling meets the needs of the drilling project and the moving distance, and cannot comprehensively and scientifically select drilling rigs, which is not conducive to the rational configuration evaluation of oilfield drilling rig operation. This article comprehensively considers key indicators such as drilling efficiency, time efficiency, moving cycle, moving cost, and moving distance, innovatively forms a pentagonal drilling rig optimization coordinate system, establishes drilling rig optimization rate, comprehensive standard deviation, drilling rig optimization comprehensive standard deviation and other indicators, and forms a drilling rig optimization model for drilling. Taking Block B as an example, the priority of Block B with three drilling rigs to be optimized calculated using the model is r1> r2> *** optimal selection rate of drilling r1 is the highest, the comprehensive standard deviation is smaller, and the comprehensive index of the best and more stable drilling performance is the highest, which is 0.0058. Therefore, r1 should be selected for drilling. The drilling rig optimization model proposed in this paper provides a process reference for drilling rig optimization, quantifies various indicators, and provides a theoretical basis for new well drilling rig optimization, project company drilling rig operation plan formulation, and improving project company drilling rig management level. © 2024 IEEE.

关键词： Efficiency

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CLMSI: A Novel Image-Text Named Entity recognition Method Based on Contrast Learning and Multimodal Semantic Interaction 11

CLMSI: A Novel Image-Text Named Entity Recognition Method Ba...

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11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Ma, Jiangtao Jin, Wenduo Chen, Yonggang Zhang, Fan Qian, Shenyi Qiao, Yaqiong College of Computer and Information Engineering Tianjin Normal University Tianjin300387 China School of Computer Science and Technology Zhengzhou University of Light Industry Zhengzhou450000 China The State Information Center China China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China College of Cyber Science Nankai University Tianjin300350 China

ISBN: (纸本)9798331531904

Most existing multimodal named entity recognition (MNEr) methods cannot align image and text well, and fail to effectively fuse image-text semantic information, leading to suboptimal MNEr accuracy. To this end, this paper proposes a novel named entity recognition model based on Contrastive Learning and Multimodal Semantic Interaction (named CLMSI). Specifically, to narrow the semantic gap between image-text modalities, making semantically similar image-text representations closer and pushing dissimilar ones further apart, we propose a contrastive learning-based cross-modal alignment method. Moreover, to integrate multimodal information effectively and filter out the noise introduced by image features as thoroughly as possible, we propose to incorporate image descriptions as additional features to enrich the multimodal representation and to reduce the semantic bias of the image information. Extensive experiments conducted on two MNEr benchmark datasets, Twitter-2015 and Twitter-2017, demonstrate the superiority of the proposed method. Further ablation studies and case analyses also affirm the efficacy of CLMSI. © 2024 IEEE.

关键词： Contrastive Learning

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