检索结果-内蒙古大学图书馆

International Conference on Power Electronics and Drive Systems (PEDS)

作者： Anindita Golder Kushan Tharuka Lulbadda Tarlochan Sidhu Sheldon S. Williamson Department of Electrical and Computer Engineering Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory Ontario Tech-Automotive Center of Excellence (ACE) Faculty of Engineering and Applied Science Ontario Tech University Oshawa ON Canada

More and more electric vehicles and charging stations are penetrating into the power system today which introduce new challenges. As a result, the concept of vehicle to vehicle charging (V2V) is gaining interest. Therefore, it is important to understand the concept of V2V charging. In this paper, some of the recent developments in the area of vehicle to vehicle (V2V) charging are explored.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring ququart computation on a transmon using optimal control

引用

Physical Review A 2023年第6期108卷 062609-062609页

作者： Lennart Maximilian Seifert Ziqian Li Tanay Roy David I. Schuster Frederic T. Chong Jonathan M. Baker Department of Computer Science University of Chicago Chicago Illinois 60637 USA James Franck Institute University of Chicago Chicago Illinois 60637 USA Department of Physics University of Chicago Chicago Illinois 60637 USA Department of Applied Physics Stanford University Stanford California 94305 USA Pritzker School of Molecular Engineering University of Chicago Chicago Illinois 60637 USA Duke Quantum Center Duke University Durham North Carolina 27701 USA

Contemporary quantum computers encode and process quantum information in binary qubits (d=2). However, many architectures include higher energy levels that are left as unused computational resources. We demonstrate a superconducting ququart (d=4) processor and combine quantum optimal control with efficient gate decompositions to implement high-fidelity ququart gates. We distinguish between viewing the ququart as a generalized four-level qubit and an encoded pair of qubits, and characterize the resulting gates in each case. In randomized benchmarking experiments we observe gate fidelities ≥95% and identify coherence as the primary limiting factor. Our results validate ququarts as a viable tool for quantum information processing.

关键词： Quantum benchmarking Quantum control Quantum gates Quantum information processing Quantum information with solid state qubits Quantum tomography Qudits Superconducting qubits

来源：评论

学校读者我要写书评

暂无评论

Tunable Source of Quantum-Correlated Photons with Integrated Pump Rejection in a Silicon CMOS Platform

Tunable Source of Quantum-Correlated Photons with Integrated...

引用

Frontiers in Optics + Laser science 2021, FiO+LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Fargas Cabanillas, Josep M. Kramnik, Danielius Ramesh, Anirudh Gentry, Cale M. Stojanović, Vladimir Kumar, Prem Popović, Miloš A. Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States Department of Electrical Engineering and Computer Science UC Berkeley BerkeleyCA94720 United States Graduate Program in Applied Physics Northwestern University EvanstonIL60208 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States

ISBN: (纸本)9781557528209

A wavelength-tunable, silicon photon-pair source based on spontaneous four-wave mixing, integrated with a pump rejection filter in a single, flip-chip packaged CMOS chip, is demonstrated with a coincidence-to-accidentals ratio of 9.1 with no off-chip pump filtering. Frontiers in Optics / Laser science © Optica Publishing Group 2021.

关键词： CMOS integrated circuits

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Internet of Things-based Live Temperature and Humidity Monitoring System

An Implementation of Internet of Things-based Live Temperatu...

引用

International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Rubina Liyakat Khan Deepa Priyanshu Danish Ather Haneen Allataifeh Computer Science Department The Applied College Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Administrative Sciences Department The Applied College Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Department of IT & Engineering Amity University in Tashkent Uzbekistan Team University Uzbekistan

ISBN: (纸本)9781665487351

Weather monitoring is an essential component of human existence; hence, collecting data about the temporal dynamics of weather shifts is of the utmost significance. The primary objective of this study is to create an embedded system to design a weather monitoring system that permits the monitoring of various weather parameters for academic research in a laboratory setting. A pair of sensors, including those for monitoring temperature and humidity, are included in such a system. The microcontroller gathers the data from the sensors, and then the microcontroller sends the data from the sensors into the google cloud application (google sheets) using Serial Communication. This module will store the data on the cloud, and information can also be received on mobile with the help of the GSM module if the values are outside the defined boundary range. The values obtained from the device are compared with those obtained from the device and checked with the data available at the national center for metrology to determine the degree to which the intended system accurately represents reality.

关键词： Temperature sensors Cloud computing Temperature distribution Temperature dependence Microcontrollers Humidity Control systems

来源：评论

学校读者我要写书评

暂无评论

Ultra-small amorphous MoS2 decorated reduced graphene oxide for supercapacitor application

引用

Journal of Materials science & Technology 2020年第5期40卷 196-203页

作者： Poulami Hota Milon Miah Saptasree Bose Diptiman Dinda Uttam K.Ghorai Yan-Kuin Su Shyamal K.Saha Department of Materials Science Indian Association for the Cultivation of ScienceJadavpurKolkata700032India Department of Materials Science and Engineering Seoul National UniversitySeoul151-744Republic of Korea Department of Industrial Chemistry and Applied Chemistry Ramakrishna Mission Vidyamandira and Swami Vivekananda Research CenterBelur MathHowrah711202India Green Energy Technology Research Center Kun Shan UniversityTainanTaiwanChina

Amorphous materials have recently gained much attention as electrode materials in supercapacitor application due to the presence of larger amount active sites which can efficiently increase the storage capacity of the *** engineering is an elegant approach to fully utilize the advantages of the amorphous ***,large surface area and high conductivity of reduced graphene oxide(RGO)can efficiently increase the storage capacity of the *** this idea,in the present work,we have successfully synthesized amorphous MoS2 of two different sizes on reduced graphene oxide and thoroughly investigated the supercapacitor behavior of the *** specific capacitance of the composite structures has been found to be largely increased with decreasing size of the amorphous nano *** specific capacitance of amorphous MoS2-RGO composite containing nearly 50 nm of MoS2 found to be 270 F/g whereas when the particle size is reduced to 5–7 nm,value of specific capacitance increases to 460 F/*** large increase in specific capacitance with the tuning of the size of amorphous nano particle has been explained by the presence of a large number of active sulfur edges of ultra-small MoS2 nano structure along with the better charge transport which can effectively increase the storage capacity of the overall *** retention in the capacitance of the material has been found to be 90%after 5000 cycles.

关键词： Supercapacitor Ultrasmall amorphous MoS2 nanoparticles Sulfur edge sites Reduced graphene oxide(RGO) Specific capacitance

来源：评论

学校读者我要写书评

暂无评论

Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt engineering

Fine-Tuning Optimization of Small Language Models: A Novel G...

引用

IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Venkata Gadiraju Hao-Yu Tsai Hsiao-Chun Wu Manali Singha C.-H. Scott Huang Guannan Liu Shih Yu Chang Yiyan Wu School of Electrical Engineering and Computer Science Louisiana State University Baton Rouge USA Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan Innovation Center for AI Applications Yuan Ze University Chungli Taiwan Institute for Genomic Medicine (IGM) Nationwide Children’s Hospital Columbus USA Department of Applied Data Science San Jose State University San Jose USA Communications Research Centre Ottawa Canada

ISBN: (数字)9798350364262

ISBN: (纸本)9798350364279

In the realm of fine-tuning pre-trained language models in modern prompt engineering, we introduce a novel graph-theoretical approach to address the resource-intensive challenges to the conventional data fine-tuning methods for prompt engineering. Leveraging semantic and contextual prompt relationships, we propose to form a novel prompt graph, which facilitates a new comprehensive representation of prompt similarities. Building upon this new graph structure, our proposed approach can minimize the training time during the fine-tuning process for small language models by identifying and utilizing cliques corresponding to condensed subsets of highly similar prompts. This new strategic reduction in training data can greatly reduce the training time, particularly for resource-constrained applications in practice. Our proposed new approach leads to a significant reduction in the original prompt-graph order and a more focused and streamlined fine-tuning process. This data-reduction strategy demonstrates the potential to enable finetuning language models for prompt engineering with smaller datasets subject to less computational resource. The real run-time analysis for the training process of a small language model GPT2 have been undertaken to show the advantage of our proposed new approach.

关键词： Training Computational modeling Simulation Semantics Training data Data models Prompt engineering

来源：评论

学校读者我要写书评

暂无评论

Classification of Soil Images using Convolution Neural Networks

Classification of Soil Images using Convolution Neural Netwo...

引用

2021 IEEE International Conference on Communications, Computing, Cybersecurity and Informatics, CCCI 2021

作者： Chatterjee, Kajal Obaidat, Mohammad S. Samanta, Debabrata Sadoun, Balqies Islam, Sk Hafizul Chatterjee, Rajdeep University Department of Computer Science Karnataka Bangalore India University of Sharjah College of Computing and Informatics Sharjah27272 United Arab Emirates Al-Balqa' Applied University College of Engineering Al Salt Jordan Indian Institute of Information Technology Kalyani Department of CSE West Bengal 741235 India KIIT Deemed to Be University School of Computer Engineering Bhubaneswar India

ISBN: (纸本)9781665432085

Classification of soil is crucial for the agricultural domain as it is an essential task in geology and engineering domains. Various procedures are proposed to classify soil types in the literature, but many of them consumed much time or required specially designed equipments/applications. Classification of soil involves the accounting of various factors due to its diversified nature. It can be observed that several critical domain-oriented decisions often depend on the type of soil like farmers might be benefitted from knowing the kind of soil to choose crops accordingly for cultivation. We have employed different Convolution Neural Network (CNN) architectures to identify the soil type accurately in real-time. This paper describes the comparative evaluation in terms of performances of various CNN architectures, namely, ResNet50, VGG19, MobileNetV2, VGG16, NASNetMobile, and InceptionV3. These CNN models are used to classify four types of soils: Clay, Black, Alluvial, and Red. The performance of the ResNet50 model is the best with a training accuracy and training loss of 99.47% and 0.0252, respectively compared to other competing models considered in this paper. © 2021 IEEE.

关键词： Soils

来源：评论

学校读者我要写书评

暂无评论

Bridging the Artificial Intelligence Knowledge and Skill Gaps in Africa: a Case of the 3rd Google Tensorflow Bootcamp and FEDGEN Mini-Workshop

Bridging the Artificial Intelligence Knowledge and Skill Gap...

引用

science, engineering and Business for Sustainable Development Goals (SEB-SDG), International Conference on

作者： Emmanuel Adetiba John S. Wejin Oluwadamilola Oshin Ayodele H. Ifijeh Comfort Lawal Surendra Colin Thakur Ayokunle A. Awelewa Raymond Jules Kala Priscilla O. Ajayi Matthew B. Akanle Faith O. Sweetwiliams Uche Nnaji Emmanuel Owolabi Olabode Idowu-Bismark Gabriel Sobola Department of Electrical and Information Engineering & Covenant Applied Informatics & Communication African Center of Excellene (CApIC-ACE) Covenant University Ota Nigeria HRA Institute for Systems Science Durban University of Technology Durban South Africa Department of Electrical and Information Engineering & CApIC-ACE Covenant University Jalingo Nigeria Department of Computer Science Taraba State University Jalingo Nigeria Department of Electrical and Information Engineering & CApIC-ACE Covenant University Ota Nigeria Department of Information Technology and KZN E-Skills Co-Laboratory Durban University of Technology Durban South Africa Department of Electrical and Information Engineering Covenant University Ota Nigeria International University of Grand Bassam Grand Bassam Ivory Coast Center for Systems and Information Services & CApIC-ACE Covenant University Ota Nigeria Department of Computer and Information Science & CApIC-ACE Covenant University Ota Nigeria Smartyou Integral (PTY) LTD Pretoria Gauteng South Africa

ISBN: (数字)9798350358155

ISBN: (纸本)9798350358162

In transiting from one civilization to another, technology has played a vital and positive role. In the 21 st century, one of the digital developments that is paving ways for human life improvement is machine-assisted technology using Artificial Intelligence (AI). Artificial Intelligence has successfully enhanced man’s capacity in solving complex problems and processes. However, as developed nations continue to reap from the adoption of AI in various fields of human endeavors, the continent of Africa has remained behind, especially in AI-based skills and research. Various governments in developing nations have encouraged the adoption of AI, especially in institutions of learning. However, theoretical adoption without practical experience has remained an ineffective way of bridging the digital divide. In this paper we present the outcome of a practical approach to bridging the AI divide among students and researchers in Africa through funding support from the Google TensorFlow College Outreach Award. A 3-day hybrid bootcamp was organized (11 th to 13 th December, 2023) using the Google funding in order to equip postgraduate students and researchers with AI and collaborative research skills. A pre-survey method was employed to ascertain the knowledge level of the bootcamp participants. From the pre-surveyed feedback, training sessions on various AI domains were presented, and participant equipped with practical AI skills using a deployed AI-based cloud programming platform running on the private Federated Genomic Cloud (FEDGEN) infrastructure at Covenant University. A post-survey feedback was used to ascertain the effectiveness of this approach. A comparative analysis of the pre-survey and post-survey reveals a 70% improvement of AI skills among participants. This shows that having continuous training session for students and researchers is an effective method in closing the AI skills gap between developed and developing nations.

关键词： Training Surveys Knowledge based systems Government Genomics Africa Programming

来源：评论

学校读者我要写书评

暂无评论

Comparing SWIPT Techniques for Zero-Energy RIS

Comparing SWIPT Techniques for Zero-Energy RIS

引用

IEEE International Conference on Communications Workshops, ICC

作者： Dimitrios Tyrovolas Vasilis K. Papanikolaou Sotiris A. Tegos Yue Xiao Panagiotis D. Diamantoulakis Sotiris Ioannidis Christos Liaskos George K. Karagiannidis Dept. of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Dept. of Electrical and Computer Engineering Technical University of Chania Chania Greece School of Information Science and Technology Southwest Jiaotong University Chengdu China Computer Science Engineering Department University of Ioannina Ioannina and Foundation for Research and Technology Hellas (FORTH) Greece Cyber Security Systems and Applied AI Research Center Lebanese American University (LAU) Lebanon

Providing enhanced quality of service (QoS) to support demanding applications in the most energy-efficient way has been identified as a primary objective of future 6G networks. Towards this direction, the concept of programmable wireless environments (PWEs) has emerged, wherein extremely high QoS can be ensured by controlling the wireless propagation through reconfigurable intelligent surfaces (RIS). To meet the demands of 6G networks in terms of energy efficiency, in this paper, zero-energy RISs (ZERISs) are introduced, which harvest the required amount of energy for their operation and then contribute to the PWE conversion. More specifically, we investigate the performance of a ZERIS-assisted communication system in terms of joint energy-data rate outage probability, which quantifies the trade-off between the harvested energy and information transmission, for three distinct simultaneous wireless information and power transfer (SWIPT) methods are investigated, namely power splitting, time switching, and element splitting. Finally, simulation results validate the derived analysis, leading to useful insights for the ZERIS-assisted network regarding which energy harvesting method achieves better performance in terms of joint energy-data rate outage probability.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Electrically-controlled Varifocal and Bifocal-Bicolor Metalenses Embedded in a Liquid Crystal

Electrically-controlled Varifocal and Bifocal-Bicolor Metale...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Melissa Bosch Maxim R. Shcherbakov Kanghee Won Hong-Seok Lee Gennady Shvets Department of Physics Cornell University Ithaca NY USA Department of Electrical Engineering and Computer Science University of California Irvine CA USA Samsung Electronics Co. Ltd. Samsung Advanced Institute of Technology (SAIT) Suwon-si Republic of Korea School of Applied and Engineering Physics Cornell University Ithaca NY USA

We demonstrate highly-compact multifunctional zoom components based on low-loss all-dielectric metasurfaces integrated with liquid crystals (LCs). These devices could find use in next-generation imaging systems includ... 详细信息

ISBN: (纸本)9781957171258

关键词： Aberration correction Cameras Imaging systems Laser imaging Liquid crystals Resonant modes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：