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检索条件"任意字段=19th International Conference on Logic Programming"

共 2634 条记录，以下是2601-2610 订阅

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HAMF: Highly Adaptable Multi-graph Fusion for Cross-domain Graphs

HAMF: Highly Adaptable Multi-graph Fusion for Cross-domain G...

引用

international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Jie Li Jiaqi Liu Bin Guo Northwestern Polytechnical University

ISBN: (数字)9798350358261

ISBN: (纸本)9798350358278

Nowadays, many realistic networks are modeled as multiple graphs that interact with each other. therefore, multi-graph fusion comes into being. Most existing algorithms are oriented to a particular scenario, which lacks universality and thus can not be applied to other scenarios with varying structures. Besides, the extraction of node information is insufficient, and the fusion of cross-graph relationships needs to be better considered. To solve these problems, we propose a Highly Adaptable Multi-graph Fusion (HAMF) model for cross-domain graphs, a universal framework that can handle different graph structures, including bipartite, homogeneous, and heterogeneous graphs. In addition, we use interactive information to guide the feature extraction at the node level and use a gate mechanism to measure the relationship at the graph level, after which we make predictions accordingly. Experiments are conducted on four real datasets involving recommendation systems, citation networks, and movie networks. the results show that the predicting error decreases up to 30% compared to the baselines.

关键词： Adaptation models logic gates Motion pictures Feature extraction Sensors Data mining Recommender systems

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Impact of AlScN Gate Dielectric on Electrical Properties of AlScN/AlGaN/GaN Ferroelectric HEMTs

Impact of AlScN Gate Dielectric on Electrical Properties of ...

引用

IEEE international conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Yuxi Liu Zexing Ding Guoming Zhang Qingnan Qian Qunhui Zhou Yiming Ma Nan Wang Qinghua Ren School of Microelectronics Shanghai University China

ISBN: (数字)9798350359831

ISBN: (纸本)9798350359848

AlGaN/GaN high electron mobility transistors (HEMTs) with Al 1-x Sc x N ferroelectric gate dielectric layer are designed and the impact of gate length, gate thickness, and Sc doping concentration in Al 1-x Sc x N on the electrical properties such as transconductance (G m ), threshold voltage (V th ), memory window (ΔV th ) and subthreshold swing (SS) of GaN-based ferroelectric HEMTs is systematically investigated by using TCAD simulation tools. Simulation results show that both the peak G m and ΔV th decrease with increasing the gate length. In addition, SS decreases to 135.37 mV/dec as the gate thickness decreases from 90nm to 10nm. the highest performance of the designed HEMTs is obtained with an optimized Al 1-x Sc x N ferroelectric layer with the gate length of 0.6 μm, the gate thickness of 10 nm, and the Sc doping concentration of 0.20, resulting in a maximum memory window of 3.111 V and a minimum subthreshold swing of 131.11 mV/dec. the enhancement may be caused by excellent ferroelectric properties of AlScN layer. these finding pave the way for ferroelectric-enhanced transistors based on nitrides.

关键词： Voltage measurement Doping logic gates HEMTs threshold voltage Dielectrics Wide band gap semiconductors

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Active Learning of Probabilistic Movement Primitives

Active Learning of Probabilistic Movement Primitives

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IEEE-RAS international conference on Humanoid Robots

作者： Adam Conkey Tucker Hermans School of Computing Robotics Center: University of Utah USA NVIDIA USA

ISBN: (数字)9781538676301

ISBN: (纸本)9781538676318

A Probabilistic Movement Primitive (ProMP) defines a distribution over trajectories with an associated feedback policy. ProMPs are typically initialized from human demonstrations and achieve task generalization through probabilistic operations. However, there is currently no principled guidance in the literature to determine how many demonstrations a teacher should provide and what constitutes a “good” demonstration for promoting generalization. In this paper, we present an active learning approach to learning a library of ProMPs capable of task generalization over a given space. We utilize uncertainty sampling techniques to generate a task instance for which a teacher should provide a demonstration. the provided demonstration is incorporated into an existing ProMP if possible, or a new ProMP is created from the demonstration if it is determined that it is too dissimilar from existing demonstrations. We provide a qualitative comparison between common active learning metrics; motivated by this comparison we present a novel uncertainty sampling approach named “Greatest Mahalanobis Distance.” We perform grasping experiments on a real KUKA robot and show our novel active learning measure achieves better task generalization with fewer demonstrations than a random sampling over the space.

关键词： Task analysis Robots Probabilistic logic Trajectory Uncertainty Grasping Libraries

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Optimal Configuration of Distributed Generation for Improving Voltage Quality Based on Adaptive Weighted PSO

Optimal Configuration of Distributed Generation for Improvin...

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international conference on Harmonics and Quality of Power

作者： Jijun Cheng Yurui He Huwei Cao Hao Shi Jing Hu Tong Ding Xiaogan kexian electrical engineering consulting and design co. LTD Xiaogan China School of Electrical Engineering and Automination Wuhan University Wuhan China

ISBN: (数字)9781728136974

ISBN: (纸本)9781728136981

Aiming at the problem of over-limit of distribution network node voltages caused by high-permeability distributed generation (DG) grid connection, the influence that single and multiple DG grid connection has on voltage distribution is analyzed firstly, and the different influencing factors such as DGs connection mode, capacity, location, and power factor are analyzed. Secondly, the minimization of total voltage deviation is taken as the target, and the optimal configuration mathematical model of DG considering various constraints such as power flow, node voltage, branch current, and DG capacity is established, and it is solved by adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the IEEE33 node distribution network model is taken as an example to verify the rationality and effectiveness of the above method. the results show that the method can effectively control voltage deviation and network loss.

关键词： Distributed power generation Reactive power Mathematical model Voltage control Linear programming Particle swarm optimization Load modeling

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Creating a Dynamic Online Learning Environment with AI Integration

Creating a Dynamic Online Learning Environment with AI Integ...

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international Computer Sciences and Information Technologies (CSIT)

作者： Oleksandra Bulgakova Zarina Viniarska Viacheslav Zosimov P.M Platonov Educational and Scientific Institute of Computer Engineering Automation Robotics and Computer Programming Odesa National University of Technology Odesa Ukraine Department of Applied information systems Taras Shevchenko National University of Kyiv Kyiv Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

Educational, online learning has become a common practice due to rapid digitalization and recent global events. this study focuses on developing a comprehensive online learning platform that addresses users' needs by integrating advanced AI capabilities for personalized support and adaptive learning. the platform supports user registration and authentication, course and lesson management, and offers interactive features like AI-driven chat support. In this study, we show the importance of creating user-friendly online learning platforms with the implementation of modern AI trends. the development and testing of this platform is ongoing to determine the adaptation of the system to different learning styles.

关键词： Adaptive learning Electronic learning Authentication Passwords Market research Real-time systems Artificial intelligence Information technology Standards Testing

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Reducing the Price of Protection: Identifying and Migrating Non-sensitive Code in TEE

Reducing the Price of Protection: Identifying and Migrating ...

引用

IEEE international conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Yin Liu Eli Tilevich Software Innovations Lab Virginia Tech

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

As the trusted computing base (TCB) unnecessarily increases its size, the performance and security of Trusted Execution Environments (TEE) can deteriorate rapidly. Existing solutions focus on placing only the necessary program parts in TEE, but neglect the numerous cases of legacy software with misplaced TEE-based non-sensitive code. In this paper, we introduce a new type of software refactoring-TEE Insourcing-that identifies and migrates non-sensitive code out of TEE. We present TEE-DRUP, the first semi-automated TEE Insourcing framework whose process comprises two phases: (1) a variable sensitivity analysis designates each variable as sensitive or non-sensitive; (2) a compiler-assisted program transformation automatically moves the functions that never operate on the sensitive variables out of TEE. Developers can participate to verify and confirm sensitive variables, and specify additional non-sensitive functions to migrate. the evaluation results of TEE-DRUP on real-world programs are encouraging. TEE-DRUP distinguishes between sensitive and non-sensitive variables with satisfactory accuracy, precision, and recall - all of their actual values are greater than 80% in the majority of evaluation scenarios. Further, moving non-sensitive code out of TEE improves system performance, with the speedup ranging between 1.35 and 10K. Finally, TEE-DRUP's automated program transformation requires only a small programming effort.

关键词： Trusted computing Program processors Sensitivity analysis System performance programming Software Security

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Resource Planning and Works Schedule Optimization of an IT Project with Use of the General Linearization Algorithm

Resource Planning and Works Schedule Optimization of an IT P...

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international Computer Sciences and Information Technologies (CSIT)

作者： Serhii Chernov Liudmyla Chernova Liubava Chernova Nataliia Kunanets Sergej Titov Evgeniy Trushliakov Department of Project Management Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine Information Management Systems & Technologies Department Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine Department of Information Systems and Networks Lviv Polytechnic National University Lviv Ukraine Rector Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

the article considers a modern approach to project management in conditions of complex non-linear dependencies and limited resources. One of the key tasks in the project management consists in efficient planning of resources and optimization of the works schedule, which enables cost minimization, good adherence to the project milestones and high quality of results. However, many real IT projects include complicated interdependencies and restrictions that can be described by nonlinear models with complication of their optimization process. Usage of the general linearization algorithm for nonlinear problems proposes an innovative approach to simplification and solution of complicated planning problems. Linearization allows converting nonlinear models into linear forms being more suitable for calculation, which facilitates using the methods of linear programming. this is especially important under conditions of restricted resources and rigorous time and budget limitations of an IT project. this article becomes topical due to the fact that it considers efficient methods of applying the general linearization algorithm for improving the project management.

关键词： Industries Manifolds Schedules Accuracy Project management Linear programming Minimization Resource management Information technology Optimization

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Towards a theory of Special-Purpose Program Obfuscation

Towards a Theory of Special-Purpose Program Obfuscation

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IEEE international conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Muhammad Rizwan Asghar Steven Galbraith Andrea Lanzi Giovanni Russello Lukas Zobernig School of Computer Science The University of Auckland New Zealand The University of Auckland New Zealand Computer Science Department Universita degli studi di Milano Italy Department of Mathematics The University of Auckland New Zealand

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

Most recent theoretical literature on program obfuscation is based on notions like virtual black box (VBB) obfuscation and indistinguishability obfuscation (iO). these notions are very strong and are hard to satisfy. Further, they offer far more protection than is typically required in practical applications. On the other hand, the security notions introduced by software security researchers are suitable for practical designs but are not formal or precise enough to enable researchers to provide a quantitative security assurance. Hence, in this paper, we introduce a new formalism for practical program obfuscation that still allows rigorous security proofs. We believe our formalism will make it easier to analyse the security of obfuscation schemes. To show the flexibility and power of our formalism, we give a number of examples. Moreover, we explain the close relationship between our formalism and the task of providing obfuscation challenges.

关键词： Privacy Automatic programming conferences Software Security Cryptography Task analysis

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ECADA: An Edge Computing Assisted Delay-Aware Anomaly Detection Scheme for ICS

ECADA: An Edge Computing Assisted Delay-Aware Anomaly Detect...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chao Sang Jianhua Li Jun Wu Wu Yang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Graduate School of Information Production and Systems Waseda University Japan College of Computer Science and Technology Harbin Engineering University China

ISBN: (数字)9798350358261

ISBN: (纸本)9798350358278

Today, with more and more devices in the industrial control system (ICS), the risk becomes higher and brings more attack surfaces. the need for reliable anomaly detection systems is increasing. Traditional SCADA-based detection systems deployed are difficult to assess large-scale control systems accurately, and novel AI-based technologies struggle to ensure timely response. In this paper, we propose an edge computing assisted delay-aware anomaly detection (ECADA) scheme for ICS, which considers both the accuracy and timeliness, and ensures that abnormal conditions can be accurately detected and handled in a short time. First, we model the components in ICS as three layers, taking network resources, delay, and reliability into consideration. Second, we convert the anomaly detection procedure into a decision making problem. By dividing the warning capabilities into various levels, the flexibility of the anomaly detection system is enhanced. third, we cast a mixed-integer linear programming (MILP) problem to find the efficient anomaly detection mechanism, so that it can be dynamically scheduled to achieve the tradeoff between reliability and timeliness. We use an real-world industrial system dataset for experimental evaluation. By comparing with various traditional anomaly detection methods, it is proved that ECADA can always ensure reliable response of anomaly detection system in various network environments.

关键词： Computational modeling Industrial control Reliability engineering Sensors Mixed integer linear programming Task analysis Low latency communication

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FOSSSC: A Free, Open-Source Software Stack Cluster for Digital System Design

FOSSSC: A Free, Open-Source Software Stack Cluster for Digit...

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international conference on Emerging Technologies, ICET

作者： Tassadaq Hussain Amna Haider Syed Uzair Ghous Ali Dawood Mazhar Eduard Ayguade Electrical Engineering Department Namal University Mianwali Pakistan Supercomputing Center PakASIC and UCERD Islamabad Centre for AI and Big Data Namal University Mianwali Barcelona Supercomputing Center Spain

ISBN: (数字)9798350379587

ISBN: (纸本)9798350379594

Chip design tools play an important role in the semiconductor industry, affecting production costs, accessibility, and innovation. Traditional commercial chip design tools have high licensing fees which cause innovation barriers and slow down the progress of smaller entities. However, in the last few years, advancements have been made in open-source chip design tools, supported by initiatives such as RISC-V and DARPA funding. these chip design tools target important issues like secure and specialized hardware design and encourage cooperation among worldwide innovators to provide alternatives to traditional expensive tools. However, a cloud-based cluster that supports end-to-end chip design using open-source hardware and software solutions is necessary to realize its full potential. In this work, we propose a Free Open-Source Software Stack-based Cluster (FOSSSC) to support open-hardware-based chip design. the proposed system provides end-to-end chip design and software development solutions and gives accessibility to open-source tools using cloud platforms and high-performance computing. the FOSSSC provides a globally accessible open-source digital system design software stack including design, verification, simulation, and programming.

关键词： Technological innovation Digital systems High performance computing Production Very large scale integration programming Open source hardware Chip scale packaging Open source software Software development management

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