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检索条件"主题词=Software Algorithms"

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The Horizontal INR Conflict-Detection Algorithm: Revealing INR Reallocation and Reauthorization in RPKI*

The Horizontal INR Conflict-Detection Algorithm: Revealing I...

引用

IFIP/IEEE International Symposium on Integrated Network Management

作者： Hui Zou Di Ma Qing Shao Wei Mao Chinese Academy of Sciences University of Chinese Academy of Sciences ZDNS Corporation Beijing China Chinese Academy of Sciences ZDNS Corporation Beijing China

Resource Public Key Infrastructure (RPKI) is a promising security enhancement to the Border Gateway Protocol, but it only requires the relying party (RP) to validate Internet Number Resource (INR) allocation or authorization relationships expressed in parent-child certificate pairs vertically. Therefore, conflicts in INR allocation and authorization may exist because of the limitations of the validation procedure of the RP software, in other words, certification authority malfunctions in issuing RPKI objects within a publication point cannot be detected by the RP. We develop a model of such conflicts and propose a horizontal INR conflict-detection algorithm with acceptable build time and query time. The proposed algorithm was tested on real-world RPKI data to identify actual and potential INR conflicts and its accurateness has been tried to be evaluated. This paper also discusses the deployment issues and the accuracy dependence about our algorithm design.

关键词： Authorization Protocols software algorithms Public key Logic gates software Internet

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Improving satellite ranging equipment engineering algorithm by utilizing an expert system

Improving satellite ranging equipment engineering algorithm ...

引用

International Seminar on Electron Devices Design and Production (SED)

作者： Andrey N. Zotov HSE Tikhonov Moscow Institute of Electronics and Mathematics Moscow Russia

This paper discusses shortcomings of the modern equipment design algorithm and proposes usage of an expert system as one of the tools for improving the algorithm. Problems of creating such a system are discussed. An e... 详细信息

关键词： Seminars Satellites software packages software algorithms Production Tools Reliability engineering

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A Multi-Variant Voting Algorithm Based on Dynamic Feedback

A Multi-Variant Voting Algorithm Based on Dynamic Feedback

引用

Computer Communication and Network Security (CCNS), International Conference on

作者： Shao Yuwen Zhang Zheng Li Bingzheng Ji Xinsheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China R&D Center National Digital Switching System Engineering & Technological Zhengzhou China

Multi-variant execution framework can protect software security. For the problem of performance loss caused by too many voting times in the existing multi-variant execution framework, this paper proposes a multi-variant voting algorithm based on dynamic feedback, which can make the multi-variant continuously improve its corresponding voting strategy at runtime. Using this algorithm, the multi-variant can get a stable voting range, reduce the number of voting, and effectively improve the performance of multi-variant.

关键词： Runtime Heuristic algorithms software algorithms Network security software Computer security

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Communication SoC based on 1oo2D architecture for industrial human-robot-collaboration

Communication SoC based on 1oo2D architecture for industrial...

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Mohamed Abdelawwad Malte Drabesch Michael Schwarz Muhammad Ikram Hafiz Josef Börcsök ICAS Institute for Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9781665414937;9781665430579

The mechanical force imparted by industrial robots is enormous and can lead to dangerous situations for human workers and property if they malfunction. System designs based on the redundancy concept are essential to avoid or mitigate the resulting risk, which is recommended by the various safety standards. In this paper, a 1oo2D based safety SoC that provides multiple Ethernet communication interfaces is presented. Two different design approaches are implemented using the in-house FPGA development board based on the LEON3 soft processor. The software algorithms for each approach are developed and verified.

关键词： Service robots software algorithms Ethernet Computer architecture Robot sensing systems software Safety

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Transformer Through Fault protection - challenges and improvements in asset monitoring for precise predictive maintenance

Transformer Through Fault protection - challenges and improv...

引用

IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Venkatesh Rokkam Chakravarthy M Emmoji Vundekari Senior customer application engineer GE Grid Solutions HyderabadINDIA

ISBN: (纸本)9781665433402

Transformers are one of the critical assets in the substation. In general, transformers are protected with differential or unit protection and the protection zone is defined by the location of CTs. Through faults or external faults are categorized as faults outside the differential protection zones and excessive currents due to an external fault is not detected by the differential protection. The life expectancy for liquid-immersed power transformers are largely influenced by the number of “through-fault” operations. To detect the through faults, it is essential to coordinate overcurrent protective devices with the transformer short-circuit withstand capability. In general, majority of through fault algorithms uses cumulative I 2 t to calculate the transformer remaining withstand capability. However, many practical cases are identified, where the conventional algorithms fail to accurately predict the maintenance alert. IEEE Std C57. 109–2018 provides transformer damage withstand capability curves based on the transformer category, exposure to frequent/in-frequent faults, duration and magnitude of the symmetrical fault currents subjected to the winding. This paper discusses and compares the conventional I 2 t algorithm with algorithm based on IEEE Std C57.109™-2018. The transformer through fault scenarios are simulated using EMTP software and results are analyzed. A comparative analysis of transformer maintenance scheduling with different faults are presented with graphical results.

关键词： Substations software algorithms Asia Windings Prediction algorithms IEEE Standards software

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Method for Transmitting Information under Conditions of Excess of Interference Level over Useful Narrowband Signal

Method for Transmitting Information under Conditions of Exce...

引用

International Seminar on Electron Devices Design and Production (SED)

作者： Dmitrii Artamonov Nikolay Grachev National Research University Higher School of Economics Moscow Russia

There are various methods for suppressing radio interference in communications. In particular, interference exceeding the useful signal level. However, these methods in most cases are based on the parameters of the interference in the spectrums' range, the occurrence's time, the action's direction, polarization, etc. It is known that radio systems with a single receiver do not have effective suppressions' means of powerful broadband interference. In addition, there are fundamental limitations of single-channel information transmission systems formulated in the Shannon-Hartley theorem. We have developed a digital signal processing algorithm. It suppresses radio interference and selects a narrowband useful signal. This algorithm is based on the method of spatially spaced two-channel synchronous reception. The research results show high efficiency. The theoretical model allows error-free transmission of information with a signal-to-noise ratio up to minus 26.5dB. This method will significantly improve information transmission systems for their key parameters. These include the frequency range used and noise immunity.

关键词： Resistance software algorithms Signal processing algorithms Adaptive arrays Information processing Receivers Spatial filters

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Optimization of WinRAR Password Cracking Algorithm Based on Heterogeneous Computing

Optimization of WinRAR Password Cracking Algorithm Based on ...

引用

International Conference on Communication Technology (ICCT)

作者： Hao Yin Lulin Ni Science and Technology on Communication Security Laboratory ChengduChina

ISBN: (纸本)9781665432078

Different versions of WinRAR compression software use SHA-1, SHA-256 as the core and use AES-128, AES-256, and CRC32 as verification encryption. WinRAR passwords are difficult to crack, and high-efficiency hardware accelerators are usually utilized for passwords recovery. However, the unrar decompression function cannot distinguish between damaged files and incorrect passwords. The SHA-1 and SHA-256 hash algorithms have a considerable number of cycles. This paper proposes a method of password recovery based on heterogeneous computing and uses three optimization methods to solve the collision problem and accelerate the password recovery algorithm. Our experiments show that the password collision problem can be solved without reducing the password cracking speed. The optimized implementation WinRAR3 increases by 50%, while winRAR5 increases by two times.

关键词： Forensics Conferences software algorithms Optimization methods Passwords Heterogeneous networks software

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Integrated models for electrical distribution network planning and district-scale building energy use

Integrated models for electrical distribution network planni...

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Power Tech Conference

作者： Luca De Rosa Carlos Mateo Domingo Tomás Gómez San Roman Rawad El Kontar Ben Polly Katherine Fleming Tarek Elgindy Institute for Research in Technology ICAI Universidad Pontificia Comillas Madrid Spain National Renewable Energy Laboratory Golden Colorado USA

The increase of greenhouse emissions caused by a rise in global energy consumption is pushing the scientific community to develop tools that address key environmental, techno-economic and social issues. One specific area of focus is to create tools that enable the design of high-performance energy districts, including grid-interactive efficient buildings and electrical distribution infrastructure. This paper outlines the approach of integrating a synthetic distribution network tool (RNM-US) with URBANopt™, a modular and customizable software development kit for thermal and electrical modelling of buildings and energy systems at a district scale. First, we describe the algorithms implemented to integrate RNM-US with URBANopt to automatically generate the distribution network for the district considered. Following, we present a case study for the potential uses of the RNM-US integrations with URBANopt, highlighting the capabilities for economic and technical analysis of the distribution network built in relation to the electricity needs of the modelled buildings.

关键词： Economics Biological system modeling Buildings software algorithms Distribution networks Tools software

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MPPT Techniques Investigation in Photovoltaic System

MPPT Techniques Investigation in Photovoltaic System

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International Renewable and Sustainable Energy Conference (IRSEC)

作者： Hicham Oufettoul Ghassane Aniba Saad Motahhir Mohammadia School of Engineers Mohammed V University in Rabat Rabat Morocco Ecole Nationale des Sciences Appliquées Université sidi Mohamed Ben Abdellah Fès Morocco

ISBN: (纸本)9781665413206

Pollution, depletion of fossil fuel sources, increasing energy demands.... various circumstances encourage the integration of renewable energies, including solar systems, which require a smart and cost-effective solution. In this context, the current investigation conducted a comparative study between the most frequently used MPPT approaches in the industry, notably Enhanced (P&O, INC), and Fuzzy Logic control, in order to extract the Maximum Power Point effectively. A buck-boost converter is applied in this research as an intermediate stage between the load and the power supply. MATLAB and PROTEUS software have been used to implement the enhanced (P&O, INC) and fuzzy logic algorithms, as well as the Buck-Boost converter architecture design, in addition to using the pic18F4550 as a control system.

关键词： Maximum power point trackers Fuzzy logic Renewable energy sources Pollution Power supplies software algorithms software

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Study of ReRAM Neuromorphic Circuit Inference Accuracy Robustness using DTCO Simulation Framework

Study of ReRAM Neuromorphic Circuit Inference Accuracy Robus...

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IEEE Workshop on Microelectronics and Electron Devices, WMED

作者： Hoang Cao Thanh Lam Hoi Nguyen Ayyaswamy Venkattraman David Parent Hiu Yung Wong San Jose State University San Jose California USA University of California Merced Merced California USA

A Design-Technology Co-Optimization (DTCO) framework is constructed to study the algorithm-circuit-device interaction for optimizing emerging memory-based neuromorphic computing circuits. The framework consists of 3 parts, namely, software level machine learning to perform machine learning calculation as a benchmark or for off-line training purpose, generation of emerging memory Verilog-A model based on experimental or physical simulation data, and automatic SPICE neuromorphic circuit simulations and simulation result analysis. A python-based wrapper is constructed to link the 3 parts to automate the task and improve usability and flexibility. In this paper, the effect of current comparator input impedance, operation temperature, and input voltage range on the accuracy of ReRAM based neuromorphic inference circuit (a neural network) for digit image recognition is studied. The training is done off-line using software machine learning. The neural network with an input layer of 64 neurons, the hidden layer (1, 3 or 5 layers) with 8 neurons and an output layer of 10 neurons was trained using ~1800 hand-written digit images. ReRAM neuromorphic circuit for inference is constructed automatically with the training weights being transformed into gap sizes in ReRAM for circuit simulations. 180 unseen digit images are used to test the robustness of its inference accuracy. It is found that a deeper neural network has worse robustness in inference accuracy while non-zero current comparator input impedance makes the neuromorphic circuit more robust.

关键词： Training Neuromorphics Neurons software algorithms Machine learning Robustness software

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