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检索条件"任意字段=1st International Conference on the Art, Science and Engineering of Programming, Programming 2017"

共 643 条记录，以下是91-100 订阅

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A Review on artificial Intelligence with Deep Human Reasoning 1

A Review on Artificial Intelligence with Deep Human Reasonin...

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1st international conference on Applied artificial Intelligence and Computing, ICAAIC 2022

作者： Harika, Janmanchi Baleeshwar, Palavadi Navya, Kummari Shanmugasundaram, Hariharan Vardhaman College of Engineering Department of Artificial Intelligence and Data Science India Vardhaman College of Engineering Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9781665497107

artificial Intelligence (AI) is a broad term that can be construed to mean a focusing computer programming and development that is designed to train machines and to perform task. artificial intelligence can be used to test theories of reasoning like cognitive reasoning and consciousness. Research has been conducted on the development of machines with human behavior and cognitive characteristics that are related to consciousness. artificial Intelligence and Reasoning that are dealt with, can necessarily solve problems related to mental health issues that humans find complex, but research on new interaction techniques and human for cooperation theories, technologies limited the issues and challenges facing the application of artificial reasoning. Here in this paper, the relation between artificial intelligence human reasoning that is also called as AI reasoning or artificial reasoning has been studied. artificial intelligence impacts reasoning and how artificial reasoning can be used in day-to-day activities to regain our mental health. Moreover, this work focuses on problems that can be solved with AI Reasoning in trying to find the possible solutions. © 2022 IEEE.

关键词： Behavioral research

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Methods of Signal to Image Transformation in Photovoltaic Fault Diagnosis in Preparation for Machine Learning Applications

Methods of Signal to Image Transformation in Photovoltaic Fa...

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Robotics, engineering, science, and Technology (REstCON), international conference on

作者： Rolando Pula Lorena Ilagan Marcelo Santos Electronics Department College of Engineering University of Perpetual Help System DALTA Las Piñas City Philippines

This study explores various techniques for transforming 1-dimensional time-series data into 2-dimensional images, preparing for the application of machine learning models designed for 2D data. Eight distinct methods are introduced, including recurrence plots, Markov transition, Gramian angular field, spectrogram, heatmap, direct plot, phase space transformation, and Poincaré plots. These methods are tested using data from a modeled photovoltaic (PV) grid-connected system, specifically simulating a shorted string fault and a no-fault condition. The fault and no-fault responses are captured with a fixed window size of 256 sample points, consistently applied across all methods. All transformation method is tested through python 3 programming using a laptop with minimal computing capability. The generated image of each transformation may contain 1-channel image in grayscale or 3-channel RGB image. Dimension of the generated image can be increase or decrease during saving process. Each method produces a unique visual representation of the shorted string fault and a no-fault, demonstrating diverse perspectives in transforming 1D time-series data into 2D images for subsequent machine learning applications.

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The performance optimization of thermal conducting ability of the microprocessor using heat transfer management model 1

The performance optimization of thermal conducting ability o...

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1st IEEE international Interdisciplinary Humanitarian conference for Sustainability, IIHC 2022

作者： Mehta, Richa Kumar, Govind Chandigarh Engineering College Department of Computer Science & Engineering Jhanjeri India

ISBN: (纸本)9781665456876

Thermally conductive paste consists of a plastic material with high thermal conductivity. Its purpose is to improve the heat transfer processes between the heating and the processor. Thermal grease 'KPT-8' is produced in the form of a homogeneous paste of white or gray color, sometimes it has a blue or silver color. In the past, processors were cold-sorted, so they dispensed this material. Currently, such a paste is needed by anyone, even a low-power processor unit. over clocking is provided by modern processors manufacturers, it is achieved by programming, the user must make changes to the settings using the BIOS system. Due to the thinness of the processor and the heat sink, an air gap is formed, which reduces the heat dissipation of the microprocessor. This problem is particularly relevant at present, because many units are operating at the limit of their capabilities, while heat is actively released. © 2022 IEEE.

关键词： Wireless sensor networks

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A Quasi-Optimal Energy Management strategy for Hybrid Energy Vehicles Using Temporal Characteristic 1

A Quasi-Optimal Energy Management Strategy for Hybrid Energy...

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1st international conference on New Materials, Machinery and Vehicle engineering, NMMVE 2022

作者： Lu, Yao Liu, Weirong Wu, Yue Li, Heng Liu, Yongjie Peng, Jun Huang, Zhiwu School of Automation Central South University Changsha China School of Computer Science and Engineering Central South University Changsha China

ISBN: (纸本)9781643682709

For electric vehicles with supercapacitor and battery storage devices, it is a challenge to achieve real-time global energy optimization and extend the battery lifetime simultaneously. In this paper, a quasi-optimal strategy to allocate energy by combining dynamic programming with long short term memory (LstM) network is proposed for a semi-active battery/supercapacitor hybrid energy storage system. In this work, the cost function of the vehicle operating cost is constructed, including battery degradation and energy consumption. The optimal current reference is determined by solving the optimization problem by dynamic programming algorithm. According to the result of the solution, we construct the corresponding training data set for LstM training. The trained LstM generates the quasi-optimal solution for the SC decision, which is utilized to distribute the load power afterward. Simulation on UDDS data set illustrates that the designed strategy can improve the energy efficiency and extend the battery lifetime while guaranteeing the SC SoC constraints. © 2022 The authors and IOS Press.

关键词： Operating costs

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Voice Controlled Autonomous Vehicle: Execution on a Small Scale 1

Voice Controlled Autonomous Vehicle: Execution on a Small Sc...

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1st international conference on Data, Computation and Communication, ICDCC 2024

作者： Mourya, Jigisha John, Navya Kumar, Krishan Sharda University Dept. of Computer Science Engineering Greater Noida India

ISBN: (纸本)9798331532956

This paper addresses the challenge of improving user interaction with autonomous vehicles by integrating voice command recognition with real-time visual feedback. The study employs Google's speech recognition Application programming Interface to transcribe spoken commands and the turtle graphics library to simulate the corresponding vehicle actions. The system is designed to accurately recognize and process voice commands, translating them into visual simulations that mirror the intended vehicle movements. The research method involved testing the system with various commands to assess its performance and effectiveness. The findings suggest that this integrated approach has significant potential for enhancing the usability and accessibility of autonomous vehicle systems. © 2024 IEEE.

关键词： Speech recognition

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An FPGA based Scheme for Real-Time Max/Min-Set-Selection Sorters

An FPGA based Scheme for Real-Time Max/Min-Set-Selection Sor...

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Cognitive, Green and Ubiquitous Computing (IC-CGU), international conference on

作者： Pothuganti Sasya Reddy Addagatla Prashanth Srinivas Bachu Department of ECE Siddhartha Institute of Technology & Sciences Medchal-Malkajgiri Telangana India Department of ECE Institute of Aeronautical Engineering Hyderabad Telangana India

ISBN: (数字)9798350361780

ISBN: (纸本)9798350361797

Partial sorting has several potential uses, one of which is choosing the M greatest or smallest numbers from N inputs. This short discussion seeks to introduce readers to a novel approach for max/min-set-selection sorters implemented in real-time utilising field-programmable gate arrays (FPGAs). Our approach is quite extensible, yet it is not directly proportional to the vector length. Using sorting networks for bitonic sequences simplifies programming, which is the main rationale behind our technique. Additionally, two variants of our method have been created to address the high data rate sequence and a multiple of two max/min-set-selection problems, respectively. In conclusion, our method's efficacy is demonstrated on a single Xilinx XC7VX690T FPGA through comparison with state-of-the-art technology.

关键词： programming Ubiquitous computing Real-time systems Hardware Vectors Kernel Field programmable gate arrays

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Decoupling learning and decision-making: breaking the O(√T) barrier in online resource allocation with first-order methods 24

Decoupling learning and decision-making: breaking the O(√T)...

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Proceedings of the 41st international conference on Machine Learning

作者： Wenzhi Gao Chunlin Sun Chenyu Xue Yinyu Ye Institute for Computational and Mathematical Engineering Stanford University School of Information Management and Engineering Shanghai University of Finance and Economics Institute for Computational and Mathematical Engineering Stanford University and Management Science & Engineering Stanford University

Online linear programming plays an important role in both revenue management and resource allocation, and recent research has focused on developing efficient first-order online learning algorithms. Despite the empirical success of first-order methods, they typically achieve regret no better than O(√T), which is suboptimal compared to the O(log T) result guaranteed by the state-of-the-art linear programming (LP)-based online algorithms. This paper establishes several important facts about online linear programming, which unveils the challenge for first-order online algorithms to achieve beyond O(√T) regret. To address this challenge, we introduce a new algorithmic framework which decouples learning from decision-making. For the first time, we show that first-order methods can achieve regret O(T1/3) with this new framework.

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Digital Twin framework for material handling and logistics in Manufacturing: Part 1 1

Digital Twin framework for material handling and logistics i...

引用

1st international conference on Connected Systems and Intelligence, CSI 2022

作者： Ganesh, M. Ahamed Rizvi, M. Anbu, Arunbhaarathi School of Mechanical Engineering SASTRA Deemed to be University Thanjavur India College of Engineering Northeastern University BostonMA United States

ISBN: (纸本)9781665458153

A Digital twin for the Automated Guided Vehicles (AGVs), Collaborative Robots (COBOTs), and other material handling systems will improve the logistical efficiency in manufacturing. To design the characteristic features of AGVs and the charging stations required (for a given number of pick-up and delivery nodes), a digital twin will be critical to simulate and obtain the information. A digital twin for a fleet of AGVs can dynamically update the system in the virtual platform along with its Physical counterpart. However, it demands modularity, accuracy, localization, and a layered framework of Internet of Things (IoT) nodes in the Industrial Internet of Things (IIoT) platform. In this article, the aim is to design and develop a digital twin framework for a fleet of AGVs providing modularity and concurrent processing capability. The concurrency and real-time computation are validated using machine vision. The performance and optimal usage of the AGVs are also simulated before deployment. © 2022 IEEE.

关键词： Object oriented programming

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Need for Fraction module in Python: An Approach with Benefits

Need for Fraction module in Python: An Approach with Benefit...

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Advances in Computing, Communication and Networking (ICAC2N), international conference on

作者： Hare Ram Singh Satya Pal Singh Saikat Gochhait Pardeep Singh Suraj Malik Department of Information Technology IIMT College of Engineering Greater Noida Uttar Pradesh India Symbiosis Institute of Digital and Telecom Management Constituent of Symbiosis International Deemed University Pune India Department of Computer Science and Engineering Guru Tegh Bahadur 4th Centenary Engineering College New Delhi India Department of Computer Science and Engineering IIMT University Meerut Uttar Pradesh India

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Fractions are always better calculated for judgment of precise and accurate value. Sometimes division may yield particulars in decimal form, there the importance of the fraction comes with its own value. The current market works or moves primarily on absolute or estimated prices in most cases or calculations. To complete calculations, the required fractions must produce accurate predicted values every time, so technology for better measurement will have importance of fractions in every calculation. In most technology, fraction is still in use such as where Decimal Portal does not work. So, the programming language also needs to be modified with this function to mold all the libraries useful for the upcoming developers who are working on the programming languages for more development in technology. The main purpose of this paper is to spread knowledge about the importance of fractions, and to explain why everyone needs to introduce it into the defined library of running software.

关键词： Productivity Computers Accuracy Current measurement Documentation Libraries Time measurement Software Portals Python

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Machine Learning-Based Web Service for Robot programming with Cloud Sustenance

Machine Learning-Based Web Service for Robot Programming wit...

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Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI), international conference on

作者： Devi. T Sesidhar DVSR L Manjula Mehul Manu P Ashok K. Vijaya Bhaskar Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Department of ECE MVSR Engineering College Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai School of Allied Sciences Graphic Era Hill University Bhimtal Campus Graphic Era Deemed to be University Dehradun Symbiosis Institute of Digital and Telecom Management (SIDTM) Symbiosis International (Deemed University) (SIU) Lavale Pune Maharashtra India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (数字)9798350355338

ISBN: (纸本)9798350355345

The utilization of robots is already commonplace in industrial automation. However, there is still ample opportunity for additional automation. An area that offers potential for enhancement is the adaptation of a manufacturing system to novel and unfamiliar items. Presently, this task entails new programming of the robotic device and the recalibration of the image recognition algorithms, should sensors be involved. Small and medium-sized organizations tend to avoid investing in the expertise of specialists due tothe required time and effort. Our proposal involves creating a digital replica of a physical manufacturing line, known as a digital twin. This digital twin will imitate the production system and collect labeled data. The data will be used to train a deep learning element. A trained artificial brain network will be used to identify and pinpoint the location of the Noticed items. This enables the production process to efficiently handle all familiar and unfamiliar products with more adaptability. The artificial neural networks element is situated on a cloud infrastructure and can be reached via an internet service, enabling any staff member to commence the training, irrespective of their programming proficiency. To summarize, our method focuses on both increasing automation in production and utilizing synthesizing data to support artificial learning.

关键词： Training Cloud computing Automation Service robots Web and internet services Robot sensing systems Digital twins Sensors Proposals Robot programming

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