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检索条件"任意字段=9th International Conference on Functional Programming"

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programming Languages in Data Science: a Comparison from a Database Angle

Programming Languages in Data Science: a Comparison from a D...

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9th IEEE international conference on Big Data (IEEE BigData)

作者： Zhou, Xiantian Ordonez, Carlos Univ Houston Dept Comp Sci Houston TX 77004 USA

ISBN: (纸本)9781665439022

In a typical Data Science project, the analyst uses many programming languages to explore and analyze big data coming from diverse data sources. A major challenge is managing and pre-processing so much data, with potentially inconsistent content, significant redundancy, in diverse formats, with varying data quality. Database systems research has tackled such problems for a long time, but mostly on relational databases. With such motivation in mind, this paper compares strengths and weaknesses of popular languages used nowadays from a database pespective: Python, R and SQL. We discuss the entire analytic pipeline, going from data integration, cleaning and pre-processing to model application and tuning. From a database systems perspective, we present a comprehensive survey of storage mechanisms, data processing algorithms, external algorithms, run-time memory management, consistency, optimizations and parallel processing. From a programming languages angle, we consider elegance, expressiveness, abstraction, composability, interactive behavior and automatic code optimization. We present a short experimental evaluation comparing the performance of the three languages on typical data exploration and pre-processing tasks. Our conclusion: there is no winner.

关键词： Digital storage

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An Economic Model for Optimal placement and Capacity Determination of DGs using Genetic Algorithm

An Economic Model for Optimal placement and Capacity Determi...

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Technology and Energy Management (ICTEM), international conference on

作者： Aidin Shaghaghi Mohammad Taghitahooneh Reza Dashti Rahim Zahedi School of Advanced Technologies Iran University of Science and Technology Tehran Iran Faculty of New Sciences and Technologies Tehran Iran University of Tehran Tehran Iran

ISBN: (数字)9798350329797

ISBN: (纸本)9798350329803

the application of distributed generation systems is increasing day by day. Installing DG units is an appropriate option for power-quality improvement, loss reduction, and improved reliability. In this study, the endeavor is to determine an economic objective function for the expansion of DGs. the suggested model gives the owner a path towards the economic vision discussed here. In recent literature, the study of expansion regulations and economic and technical parameters related to DGs have not been much worthy of consideration. In this study, the objective function aims at the placement and capacity determining of DGs, and the Genetic Algorithm is used to optimize it economically.

关键词： Economics Biological system modeling Power quality Linear programming Regulation Distributed power generation Reliability

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TARGETED ATTACK AGAINST DEEP NEURAL NETWORKS VIA FLIPPING LIMITED WEIGHT BITS 9

TARGETED ATTACK AGAINST DEEP NEURAL NETWORKS VIA FLIPPING LI...

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9th international conference on Learning Representations, ICLR 2021

作者： Bai, Jiawang Wu, Baoyuan Zhang, Yong Li, Yiming Li, Zhifeng Xia, Shu-Tao Tsinghua Shenzhen International Graduate School Tsinghua University China PCL Research Center of Networks and Communications Peng Cheng Laboratory China School of Data Science The Chinese University of HongKong Shenzhen China Secure Computing Lab of Big Data Shenzhen Research Institute of Big Data China Tencent AI Lab

To explore the vulnerability of deep neural networks (DNNs), many attack paradigms have been well studied, such as the poisoning-based backdoor attack in the training stage and the adversarial attack in the inference stage. In this paper, we study a novel attack paradigm, which modifies model parameters in the deployment stage for malicious purposes. Specifically, our goal is to misclassify a specific sample into a target class without any sample modification, while not significantly reduce the prediction accuracy of other samples to ensure the stealthiness. To this end, we formulate this problem as a binary integer programming (BIP), since the parameters are stored as binary bits (i.e., 0 and 1) in the memory. By utilizing the latest technique in integer programming, we equivalently reformulate this BIP problem as a continuous optimization problem, which can be effectively and efficiently solved using the alternating direction method of multipliers (ADMM) method. Consequently, the flipped critical bits can be easily determined through optimization, rather than using a heuristic strategy. Extensive experiments demonstrate the superiority of our method in attacking DNNs. the code is available at: https://***/jiawangbai/TA-LBF. © 2021 ICLR 2021 - 9th international conference on Learning Representations. All rights reserved.

关键词： Deep neural networks

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Energy-Efficiency Resource Optimization in Internet of Vehicles

Energy-Efficiency Resource Optimization in Internet of Vehic...

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6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Yaxuan Zhao Haixia Cui Qikai Hao School of Electronic Information Engineering South China Normal University Guangzhou China School of intelligent Sciences National University of Defense Technology Changsha China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

With the surge in the number of in-vehicle users and the demand for high-quality in-vehicle communications, a resource optimization strategy that combines power control and channel allocation with the goal of maximizing energy efficiency is proposed to address the problem of insufficient spectrum resources and energy efficiency resources. the strategy proposes a power control algorithm with low computational complexity to address the inaccurate estimation of Channel State Information (CSI) caused by the Doppler effect and fast fading; meanwhile, to address the energy resource management problem, an improved many-to-one matching scheme is proposed to establish an objective function to maximize the energy efficiency of the Telematics system, taking into account the co-channel interference. system energy efficiency objective function. Numerical analysis shows that the strategy proposing the new joint power control and channel assignment algorithm has improved performance in energy efficiency performance compared to the traditional method.

关键词： Numerical analysis Power control Signal processing algorithms Channel allocation Linear programming Telematics Energy efficiency Surges Optimization Internet of Vehicles

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Research on Cooperative Surveillance Method of Multi Unmanned Platforms for Regional Surveillance

Research on Cooperative Surveillance Method of Multi Unmanne...

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6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Yaping Chen Nan Wang Huajie Hong Zhaoyang Liu Yaoyao Miao College of Intelligence Science and Technology National University of Defense Technology Changsha China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Regional surveillance is a common problem in operations in dense urban areas. In order to withdraw our side from the most dangerous areas to reduce damage or manpower consumption, it is of great military significance and application value to use unmanned systems to perform reconnaissance and surveillance tasks. Addressing the problem of cooperative monitoring in the case of small space and multiple unmanned platforms with adjacent initial positions, in view of some shortcomings of the semi heuristic grid method in traversing the target space, such as poor performance and easy to fall into local areas, the objective function is improved by introducing pheromones. the experimental results showed that the minimum access frequency after the introduction of this mechanism was larger, more grids got more access times, the access frequency to the target space was consistent with the access frequency to the grid, and it was not easy to fall into local areas; it also had good adaptability to the change of the number of obstacles in the environment.

关键词： Time-frequency analysis Autonomous systems Surveillance Urban areas Aerospace electronics Signal processing Reconnaissance Linear programming Collision avoidance

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Transient Stability Analysis of Multi-Machine Power Systems Based on Sum of Squares programming and Coherency Dynamic Equivalents

Transient Stability Analysis of Multi-Machine Power Systems ...

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IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Yingjie Qin Wei Fan Deyang Chen Yu Liu Lu Miao Lei Chen Electric Dispatching and Control Center Guangdong Power Grid Corporation Guangzhou China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Transient stability analysis (TSA) of large-scale power systems is one of the most computationally significant tasks. To reduce the difficulty of this task, this paper uses a coherency-based dynamic equivalent method to obtain the aggregation model of multi-machine systems, which is a valid approach to reducing the size of power system model. Based on this aggregation model, the expanding annular domain (EAD) algorithm based on sum of squares (SOS) programming is employed to estimate the domain of attraction (DA) of the aggregation model, which provides an approximate description of transient stability of the original system model. the validity of our proposed methodology is illustrated on a 15-machine 73-bus system. Simulation results show that the proposed method can provide better estimates in terms of DA and critical clearing time (CCT) for large-scale power systems.

关键词： Analytical models Accuracy Computational modeling Simulation Power system dynamics Power system stability Stability analysis Performance analysis Transient analysis thermal stability

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Power Allocation and Phase Shift Optimization for RIS-Assisted UAV-Enabled WPCN

Power Allocation and Phase Shift Optimization for RIS-Assist...

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international conference on Computational Intelligence and Applications (ICCIA)

作者： Zhen Chen Jie Tang Jiayin Zhang Peichang Zhang Shida Zhong Xiuyin Zhang Department of Electronic Engineering City University of Hong Kong School of Electronics and Information South China University of Technology College of Electronics and Inforation Engineering Shenzhen University

ISBN: (数字)9798350352214

ISBN: (纸本)9798350352221

To hardware complexity and expensive hardware costs, a Reconfigurable Intelligent Surface (RIS)-assisted wireless powered communication network (WPCN) is investigated in this study, where the unmanned aerial vehicle (UAV) acts as a hybrid access point to improve the efficiency of both the downlink (DL) and the uplink (UL). In the proposed framework, an efficient modeling method is proposed for jointly optimizing time allocation, transmit power and RIS reflection coefficient. To reduce the computational complexity, an alternating direction algorithm is developed by utilizing the minimum throughput of sstem. Specifically, we establish the lower bound of the composite channel constraint and optimize the UAV's position using successive convex approximation (SCA). We then obtain closed-form solutions for transmit power and reformulate a linear programming problem to solve the time allocation. Numerical results demonstrate the effectiveness of the proposed method, outperforms traditional WPCNs.

关键词： Wireless communication Reconfigurable intelligent surfaces throughput Autonomous aerial vehicles Linear programming Hardware Reflection coefficient Resource management Uplink Optimization

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Matching Optimization of Wind-Solar Complementary Power Generation System Based on Joint Probability Distribution

Matching Optimization of Wind-Solar Complementary Power Gene...

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IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Daorina Bao Lihui Liu Fan Gao Jiawei He Qianqian Huang School of Energy and Power Engineering Inner Mongolia University of Technology Hohhot China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

the intermittency, randomness and volatility of wind power and photovoltaic power generation bring trouble to power system planning. the capacity configuration of integrated energy system including wind power photovoltaic usually does not consider the uncertainty of wind power output, resulting in too idealized system capacity configuration and low equipment utilization. In this paper, Copula theory is applied to establish the joint probability distribution model of wind farm and photovoltaic power plant output, and the typical daily output sequence is obtained. A capacity matching method of wind-wind complementary system based on stochastic programming is proposed to effectively suppress the output fluctuation of new energy generation. Finally, a typical daily wind-solar output scenario is generated according to the measured data, and the capacity ratio of the wind-solar complementary system is optimized by analyzing the example.

关键词： Photovoltaic systems Analytical models Uncertainty Estimation Wind power generation Wind farms programming Probability distribution Data models Optimization

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A Deterministic Concurrent-Routing Algorithm to Improve Wire Selection in FPGA Routing

A Deterministic Concurrent-Routing Algorithm to Improve Wire...

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international conference on Integrated Circuits, Design, and Verification (ICDV)

作者： Umair F. Siddiqi Sadiq M. Sait King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Computer Engineering King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

ISBN: (数字)9798350371864

ISBN: (纸本)9798350371871

An FPGA routing architecture consists of wire segments of different lengths. FPGA routers attempt to use longer wires for distant connections and shorter ones for closer connections. Due to the overhead associated with using longer wires, FPGA routers use them only when they have delay benefits over the shorter wires. the versatile place and route (VPR) is a popular open-source FPGA placement and routing tool. this work proposes a concurrent routing-based post-routing method for VPR to improve its utilization of longer wires. the proposed method builds an archive of routing trees using the VPR’s connection router and then solves an integer linear programming (ILP) problem to select routing trees for each net in such a way that the overall wire length is reduced with no effect on the critical path delay of the circuit. Experiments using Titan 23 benchmarks showed that it could reduce the utilization of larger wires by $4.43 \%$ on average without increasing the total wire length or critical path delay.

关键词： Integrated circuit synthesis Integer linear programming Benchmark testing Routing Delays Wire Field programmable gate arrays

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CloudNet: Building a Data-Plane for Anonymous Communication Network Based on Cloud Service

CloudNet: Building a Data-Plane for Anonymous Communication ...

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IEEE international conference on Data Science in Cyberspace (DSC)

作者： Xiaowei Song Mingqian Yang Wei Peng Mengen Liang Ling Liu Ning Hu Cyberspace Institute of Advanced Technology Guangzhou University Ghuangzhou China Peng Cheng Laboratory Shenzhen China

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

In the rapidly evolving era of information technology, the security and privacy of network communications have become increasingly critical. this paper introduces CloudNet, a cloud-based covert communication system leveraging Software-Defined Networking (SDN), designed to enhance the security and concealment of communications. By utilizing the separation of the control plane and the data-plane inherent in SDN, along with the highly customizable programming capabilities of cloud infrastructure, our system effectively enhances defenses against adversaries, making tracking and analysis challenging. CloudNet employs a diverse array of traffic obfuscation strategies, including support for multiple protocols, dynamic routing, and traffic mixing, significantly improving the system’s concealment effects. Additionally, the system demonstrates superior communication efficiency and lower overhead compared to traditional anonymous communication systems, thereby enhancing the security and anonymity of the entire communication chain. this research not only offers a new solution for covert communications in cloud environments but also provides theoretical and practical references for future security and privacy protections in communication networks.

关键词： Privacy Protocols programming Data science Routing Encryption Security Software defined networking Protection Information technology

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