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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1136 条记录，以下是461-470 订阅

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Notes Application using Android Studio and Cloud-based Data Management 7

Notes Application using Android Studio and Cloud-based Data ...

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7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Dodda, Ratnam Yanala, Maneesh Reddy Pavishetti, Srija Cvr College of Engineering Dept. of Computer Science And Information Technology Hyderabad India

ISBN: (纸本)9798350359299

In today's rapidly advancing technological land-scape, the widespread adoption of mobile applications has become a defining feature of our digital age. this research study presents a on the development of a mobile notes application using Android Studio, with the primary goal of offering users a versatile platform for creating and managing notes. the proposed notes application is designed with a simple and user-friendly interface, facilitating effortless note creation, editing, and deletion. Moreover, it has features like voice-to-text for making notes, text-to-speech for reading the notes aloud, note sharing for easily sharing ideas with others and image insertion for storing the photocopy of the written notes or diagrams based on user interest. this research work uses Android Studio as the integrated development environment (IDE) and utilizes the Java programming language for the app's core functionalities. Furthermore, it incorporates Firebase Authentication to ensure secure user account management and the Firestore for Database for seamless storage and retrieval of notes. this research study provides an essential tool for students, professionals, and anyone seeking a convenient means to keep track of vital information. By combining mobile application development tools and cloud-based data management like Firebase, the application simplifies how information is managed, aligning with the way we live in the digital age. © 2024 IEEE.

关键词： Authentication

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Design and Implementation of Congestion-Control Strategy for LEO Satellite Based on NS3 7

Design and Implementation of Congestion-Control Strategy for...

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7th international conference on Computer and Communications, ICCC 2021

作者： Chen, Jinling Wang, Cheng Zhao, Xiaoyan Tong, Jianfei Wang, Weidong Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing China

ISBN: (纸本)9781665409506

As a branch of the simulation field, network simulation technology is increasingly becoming a powerful tool for analysis, research and design. In recent years, the Network Simulator 3 (NS3) simulator has made significant progress with its rich network component object library and relatively perfect bottom-level programming modelling. However, most of the current research on NS3 is based on the existing algorithms for differentiation and comparative analysis, lacking the open-source platform design, the training means of satellite communication system simulation and research on the overall platform building framework based on NS3. this article proposes a complete congestion-control open-source platform construction strategy for Low Earth Orbit (LEO) satellite. the top-level building process of the satellite simulation platform is introduced in detail, and the bottom layer is modularized into four parts to achieve. the NS3 top-level frame realization process and the bottom-level network element unit are modularized to build a complete satellite model simulation platform. It provides some ideas for promoting the development of satellite routing algorithm simulation experiments. © 2021 IEEE.

关键词： Satellite communication systems

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Portable SystemC-on-a-chip 09

Portable SystemC-on-a-chip

引用

Embedded Systems Week 2009, ESWEEK 2009 - 7th IEEE/ACM international conference on Hardware/Software-Co-Design and System Synthesis, CODES+ISSS 2009

作者： Sirowy, Scott S. Miller, Bailey Vahid, Frank Dept. of Computer Science and Engineering University of California Riverside CA United States Center for Embedded Computer Systems University of California Irvine CA United States

ISBN: (纸本)9781605586281

SystemC allows description of a digital system using traditional programming features as well as spatial connectivity features common in hardware description languages. We describe an approach for in-system emulation of circuits described in SystemC. SystemC emulation provides a number of benefits over synthesis, including fast compilation, faster design time, and lower tool cost. the approach involves a new SystemC bytecode format that executes on an emulation engine running on the microprocessor and/or FPGA of a development platform. Portability is enhanced via a USB flash-drive approach to loading the bytecode format onto the platform. Performance is improved using emulation accelerators on an FPGA. We describe our SystemC-to-bytecode compiler, bytecode format, emulation engine, and emulation accelerators. We illustrate use of the approach on a variety of examples, showing easy porting of a single application across various platforms, and showing emulation speed on an FPGA that is comparable to SystemC execution on a PC. Copyright 2009 ACM.

关键词： Field programmable gate arrays (FPGA)

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Toward a universal inference Engine 7th

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7th international conference on Logic programming and Nonmonotonic Reasoning , LPNMR 2004

作者： Kautz, Henry Department of Computer Science and Engineering University of Washington United States

ISBN: (纸本)9783540207214

In the early days of AI some researchers proposed that intelligent problem solving could be reduced to the application of general purpose theorem provers to an axiomatization of commonsense knowledge. Although automated first-order theorem proving was unwieldy, general reasoning engines for propositional logic turned out to be surprisingly efficient for a wide variety of applications. Still many problems of interest to AI involve probabilities or quantification, and would seem to be beyond propositional methods. However, recent research has shown that the basic backtrack search algorithm for satisfiability generalizes to a strikingly efficient approach for broader classes of inference. We may be on the threshold of achieving the old dream of a universal inference engine. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Inference engines

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A Transformer Model for end-to-end Image and Text Aspect-Based Sentiment Analysis 7

A Transformer Model for end-to-end Image and Text Aspect-Bas...

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7th international conference on Image Information Processing, ICIIP 2023

作者： Chauhan, Amit Sharma, Aman Mohana, Rajni JUIT Waknaghat Department of Computer Science Solan India Amity School of Engineering Department of Computer Science Punjab Mohali India

ISBN: (纸本)9798350371406

Opinion mining is an increasingly important field with tremendous potential, including End-to-End Multimodal Aspect-Based Sentiment Analysis (MABSA). MABSA aims to identify aspect-sentiment pairs from a combination of text and images. However, many MABSA methods do not incorporate aspect and sentiment information in their textual and visual representations, which limits their ability to account for the distinct effects of visual elements on each word or aspect. In this paper, we propose an end-to-end model for multimodal tasks that combines text and images using the Boosting technique (RoBERTa-LGBM). We achieved state-of-the-art results for both datasets, with a higher accuracy of 1.55% for the Twitter 2015 dataset and a 1.78% increase for the Twitter 2017 dataset. © 2023 IEEE.

关键词： Sentiment analysis

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ICSE Workshop on Software engineering for Adaptive and Self-Managing Systems: Foreword

ICSE Workshop on Software Engineering for Adaptive and Self-...

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7th ACM/IEEE international Symposium on Software engineering for Adaptive and Self-Managing Systems, SEAMS 2012

作者： Baresi, Luciano Müller, Hausi A.

ISBN: (纸本)9781467317870

SEAMS 2012, the 7th ACM/IEEE international Symposium on Software engineering for Adaptive and Self-Managing Systems, was held on June 4-5, 2012 in Zurich, Switzerland. As in previous years SEAMS is co-located with the ACM/IEEE international conference on Software engineering (ICSE). the increasing complexity, distribution, and dynamism of many software-intensive systems impose self-managing capabilities as key requirements. these systems must be able to adapt themselves at runtime to cope with changes in operating environments, variability of resources, new user needs, intrusions, or faults. the goal is to preserve effective, secure, and safe operation and react to changes with no (or limited) human intervention. Solutions to complement software systems with self-managing and self-adaptive capabilities have been proposed by researchers in many different areas, including software architecture, fault-tolerant computing, robotics, control systems, programming languages, runtime program analysis and verification, and biologically-inspired computing. the SEAMS Symposium focuses on the software engineering aspects, including the methods, techniques, and tools that can be used to support self-adaptive, self-managing, self-healing, selfoptimizing, and self-configuring software systems. the objective of the SEAMS Symposium is to bring together researchers and practitioners from many diverse areas to investigate, discuss, and examine thoroughly the fundamental principles, state of the art, and critical challenges of self-adaptive and self-managing systems. this second year of SEAMS as a symposium continues to attract researchers and practitioners from the different disciplines interested in self-adaptive systems. We received 50 submissions, and after a thorough review process - each paper was reviewed by at least three program committee members - accepted 14 full papers and 5 short papers. the SEAMS 2012 program comprises two keynotes, presentations of the 19 technical papers

关键词： Stochastic systems

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OPTIMIZATION-BASED OPERATION OF ISLAND HYBRID POWER SYSTEMS: A CASE STUDY IN SUÐUROY, FAROE ISLANDS 7

OPTIMIZATION-BASED OPERATION OF ISLAND HYBRID POWER SYSTEMS:...

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7th international Hybrid Power Plants and Systems Workshop, HYB 2023

作者： Alferink, Marco Reus, Lucas Goudarzi, Farshid Hofmann, Lutz Michels, Kai Institute of Automation University of Bremen Germany Institute of Electric Power Systems Electric Power Engineering Section Leibniz University Hannover Germany

ISBN: (纸本)9781839539091

An optimization-based energy management system (EMS) for the island hybrid power system of Suðuroy on the Faroe Islands is proposed in this paper. Next to balancing generation and load, the aim lies in reducing the operational costs while dealing with uncertainties from the intermittent nature of renewables. this is achieved by a two-layer model predictive control (MPC) approach solving a mixed-integer linear programming problem for unit commitment, as well as a non-linear programming optimal power flow problem for economic dispatch. the setpoints are transferred to the local controllers of the distributed energy resources. Simulations of the MPC strategy show that the utilization of renewables is preferred and, thus, decreasing operational costs are obtained while satisfying operational and security requirements. the proposed EMS is further investigated in quasi-stationary simulations using a simplified model of the Suðuroy power system. It can be observed that after changes of power setpoints and besides small deviations from the predicted values, no stability boundaries are violated. © 2023 IET conference Proceedings. All rights reserved.

关键词： Model predictive control

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Optimisation-based approach for a better centrifugal spreading

Optimisation-based approach for a better centrifugal spreadi...

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7th Portuguese conference on Automatic Control

作者： Virin, T. Koko, J. Piron, E. Martinet, P. Berducat, M. Cemagref French Agr & Environm Engn Res Ctr Montoldre France Univ Blaise Pascal Clermont II LIMOS Aubiere France Univ Blaise Pascal Clermont II LASMEA Aubiere France Cemagref French Agr & Environm Engn Res Ctr Aubiere France

the use of centrifugal spreaders for application of granular fertilizers raises concern about application accuracy. these spreaders are capable of distributing fairly uniform deposits with regularly-spaced parallel tramlines but lead over and under fertilizer application when distances separating the successive tractor trajectories are not constant or if paths are not parallel between them. the aim of this study is to propose an optimisation-based method to compute optimal variables for uniform fertilizer application. Mechanical constraints are also introduced so that the calculated parameters can be afterwards used as reference variables for the control of the spreader. the resulting improvements are illustrated by numerical examples for a field with geometrical irregularities.

关键词： parameter optimisation reference variables mathematical programming agriculture environmental engineering

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A Rule-Based Deep Learning Method for Predicting Price of Used Cars 4th

A Rule-Based Deep Learning Method for Predicting Price of Us...

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4th international conference on Machine Intelligence and Signal Processing, MISP 2022

作者： Ayo, Femi Emmanuel Awotunde, Joseph Bamidele Misra, Sanjay Ajagbe, Sunday Adeola Mishra, Nishchol Department of Computer Science McPherson University Seriki-Sotayo Abeokuta Nigeria Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Ilorin240003 Nigeria Department of Computer Science and Communication Ostfold University College Halden Norway Department of Computer Engineering Ladoke Akintola University of Technology Ogbomoso Nigeria Rajiv Gandhi Technical University Bhopal India

ISBN: (纸本)9789819900466

the growth of internet used automobile shopping has been tremendous in recent years. It is important for sellers to correctly evaluate the price of the used cars. From the literature, classification is an approach that assists in data interpretation by analyzing data and providing a second opinion on data among other tasks most of the classifiers used for car price prediction suffered from lower accuracy ratios and higher error ratios. In this work, a hybrid feature selection model for predicting the price of used cars was developed. the developed model includes a CfsSubsetEval to determine the best feature subset, rule-based GA to search for the best solution, and a neural network for the final price prediction based on the selected features. the developed model was implemented in a Java programming language. the evaluation showed that the developed hybrid feature selection model achieved better performances with the correlation coefficient, mean absolute error and root mean square error of 0.9818, 1.1809, and 1.5643 respectively, compared to other related state-of-the-art algorithms. the results validated the efficiency of the developed model for used car price prediction. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Java programming language

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Impact of Energy Storage on Effective Load Carrying Capability of Renewable Energy Based on Reliability Analysis 7

Impact of Energy Storage on Effective Load Carrying Capabili...

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

作者： Sun, Guangzeng Meng, Yan Yuan, Bo Lu, Gang Xia, Peng Wu, Cong State Grid Energy Research Institute Co. Ltd. Beijing China School of Electrical Engineering Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9798350345094

Energy storage (ES) resources can play a role in peak-cutting and valley-filling., promoting the consumption of renewable energy and capacity support in the power system. the strategic integration of ES resources into the electricity market holds significant importance in maximizing the capacity value of these resources and ensuring the long-term reliable operation of the power system. Taking into account the physical characteristics of the multi-period coupling relationship of ES resources., this paper proposes a multi-period hybrid power system time-series production model with the participation of renewable energy sources (RESs) and ES. According to the stochastic optimization method based on scenario analysis., Latin hypercube sampling and K-means clustering are used to generate and reduce the predicted power output scenarios of RESs by known probability distribution functions., describing the probabilistic output characteristics of RESs through different scenarios. Based on the time-series production model., an effective capacity assessment model is proposed., applying the reliability-based Effective Load Carrying Capability (ELCC) method., which employs loss of load probability (LOLP) and expected energy not supplied (EENS) as reliability indices. Finally., the CPLEX solver is used in the YALMIP toolbox to solve the mixed integer linear programming (MILP) model in MATLAB., verifying the effectiveness of the proposed model. © 2023 IEEE.

关键词： Electric loads

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