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检索条件"任意字段=3rd International Symposium on Code Generation and Optimization"

共 319 条记录，以下是71-80 订阅

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Generating a Random String with a Fixed Weight 1

引用

3rd international symposium on Cyber Security Cryptography and Machine Learning (CSCML)

作者： Drucker, Nir Gueron, Shay Univ Haifa Haifa Israel Amazon Seattle WA USA

ISBN: (数字)9783030209513

ISBN: (纸本)9783030209513;9783030209506

Generating, uniformly at random, a binary or a ternary string with a fixed length L and a prescribed weight W, is a step in several quantum safe cryptosystems (e. g., BIKE, NTRUEncrypt, NTRU LPrime, Lizard, McEliece). This fixed weight vector selection generation is often implemented via a shuffling method or a rejection method, but not always in "constant time" side channel protected flow. A recently suggested constant time algorithm for this problem, uses Network Sorting and turns out to be quite efficient. This paper proposes a new method for this computation, with a side channel protected implementation. We compare it to the other methods for different combinations of L and W values. Our method turns out to be the fastest approach for the cases where L is (relatively) short and 0.13x speedup in the string generation. This leads to an overall 1.14x speedup for the NTRU LPrime key generation.

关键词： Software optimization Combinatorics Post Quantum Cryptography Coding

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Failure Analysis and Control optimization of RB Test Due to Feed-water Excess Reducing for the 1000MW Ultra-supercritical Once-through Unit 3

Failure Analysis and Control Optimization of RB Test Due to ...

引用

3rd international symposium on Resource Exploration and Environmental Science, REES 2019

作者： Xing, Zhiwei Wang, Li You, Mo Li, Weihua Luo, Yi Shang, Yong Gao, Aiguo North China Electric Power Research Institute Co. Ltd Beijing100045 China Co. Ltd Xi'an710065 China

As for the 1000MW ultra-supercritical unit of Beijiang Power generation Co., Ltd, the FDF runback test (RB) is failed for the excess reducing of feed-water flow, and the reason is analized. In order to optimize the RB control logic, the method by using "slow-to-fast" pressure changing rate is applied during the RB process. Besides, the slowly interlock opening control logic of the motor-driven valve is added, which controls the inlet steam from auxiliary steam to feed pump steam turbine, in order to keep the inlet steam stable. In addition, the lag time of boiler to feed-water demand and the prohibit increasing time of fuel master are both increased, which benefit to the control effect of temperature. The test results show that, control logics after optimization can ensure the load reducing promptly and steadily during the runback process of the unit, and the transition of major parameters remains smooth. © Published under licence by IOP Publishing Ltd.

关键词： Steam

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A Video Analysis Method on Wanfang Dataset via Deep Neural Network 19

A Video Analysis Method on Wanfang Dataset via Deep Neural N...

引用

Proceedings of the 3rd international Conference on Video and Image Processing

作者： Jinlong Kang Jiaxiang Zheng Heng Bai Xiaoting Xue Yang Zhou Jun Guo Daguang Gan School of Information Science and Technology Northwest University Xi'an China Shaanxi International Joint Research Centre for the Battery-free Internet of things Wanfang Data Beijing China

ISBN: (纸本)9781450376822

The topic of object detection has been largely improved recently, especially with the development of convolutional neural network. However, there still exist a lot of challenging cases, such as small object, compact and dense or highly overlapping object. Existing methods can detect multiple objects wonderfully, but because of the slight changes between frames, the detection effect of the model will become unstable, the detection results may result in dropping or increasing the object. In the pedestrian flow detection task, such phenomenon can not accurately calculate the flow. To solve this problem, in this paper, we describe the new function for real-time multi-object detection in sports competition and pedestrians flow detection in public based on deep learning. Our work is to extract a video clip and solve this frame of clips efficiently. More specifically, our algorithm includes two stages: judge method and optimization method. The judge can set a maximum threshold for better results under the model, the threshold value corresponds to the upper limit of the algorithm with better detection results. The optimization method to solve detection jitter problem. Because of the occurrence of frame hopping in the video, and it will result in the generation of video fragments discontinuity. We use optimization algorithm to get the key value, and then the detection result value of index is replaced by key value to stabilize the change of detection result sequence. Based on the proposed algorithm, we adopt wanfang sports competition dataset as the main test dataset and our own test dataset for YOLOv3-Abnormal Number Version(YOLOv3-ANV), which is 5.4% average improvement compared with existing methods. Also, video above the threshold value can be obtained for further analysis. Spontaneously, our work also can used for pedestrians flow detection and pedestrian alarm tasks. Further more, all the code are publicly available for further research: https://***/kangjinlong/

关键词： Convolutional neural network Single&Multi object detection YOLOv3-ANV Video analysis

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Optimal Operation Management in A Micro-Grid System Using Particle Swarm optimization 3

Optimal Operation Management in A Micro-Grid System Using Pa...

引用

Joint 2019 international Conference on Ubiquitous Power Internet of Things, UPIOT 2019 and 2019 3rd international symposium on Green Energy and Smart Grid, SGESG 2019

作者： Karrar, Waleed Zhen, Zhang Mohammed, Ebrahim Ismael, Waleed M. Zengwei, Zhu College of Mechanical and Electrical Engineering Hohai University Changzhou213022 China College of Internet of Things Engineering Hohai University Changzhou213022 China

Due to increase, the electricity demands and the cost of energy generation to cover the living requirement of modern societies, micro-grid (MG) has been established and played an important role to solve the problems of intermittent. This study focused on implementing the analytical algorithm for calculating the difference between generated units and consumed units under the control of the State of Charge (SOC) value and applied the Particle Swarm optimization (ANALYTIC-PSO) algorithm to optimize the value resulting from the difference between generated units and consumed units. The simulation was performed using the python environment and the PSO algorithm converges to final state approximately after the 10th iterations. The results showed that the proposed approach is efficient compared to Grey Wolf optimization (GWO) algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Python

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An Analyzer for Program Parallelization and optimization 2018

An Analyzer for Program Parallelization and Optimization

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3rd international Conference on Applications in Information Technology (ICAIT)

作者： Steinberg, Boris Baglij, Anton Petrenko, Victor Burkhovetskiy, Victor Steinberg, Oleg Metelica, Elena Southern Fed Univ Rostov Na Donu Russia

ISBN: (纸本)9781450365161

The article describes new facilities for program optimization and parallelization, work-in-progress modifications of previously implemented program transformations and compiler libraries, and future development of Optimizing parallelizing system (OPS) including opening its source code on GitHub. These new facilities, such as dialog-based optimization and parallelization, user-friendly program dependency visualization (which is needed for high-quality analyzers), parallel code generation for accelerators (GPUs, DSPs, FPGAs, or high performance clusters), are made possible by the fact, that OPS uses high-level intermediate representation as opposed to low-level intermediate representation used in popular compilers.

关键词： Parallelizing compiler high-level intermediate representation interactive compiler tiling data locality program transformations reconfigurable architectures

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Reengineering of the New Customer Gas Connection Process Utilizing Industry 4.0 Technologies: The Greek Case of Public Gas Distribution Networks S.A. 3

Reengineering of the New Customer Gas Connection Process Uti...

引用

3rd international symposium on Computer Science and Intelligent Control, ISCSIC 2019

作者： Panayiotou, Nikolaos A. Stavrou, Vasileios P. Stergiou, Konstantinos Mechanical Engineering Department Sector of Industrial Management and Operational Research National Technical University of Athens Greece

ISBN: (纸本)9781450376617

The process in order for a future customer (household consumer or business consumer) to be connected to a gas network and address its energy needs requires a difficult, demanding and usually time-consuming sequence of steps. For this reason, both process optimization and minimization of administrative effort are issues of great importance for companies operating gas networks. The present study dealt with the optimization of the abovementioned process (New Customer Gas Connection) regarding a company operating as a natural gas network operator in Greece. For this purpose, interviews were conducted with the company's top management and employees in order to record the current situation (AS-IS) concerning the process. After the implementation of AS-IS analysis, existing process weaknesses were identified and an improved process was designed. At this point, the study introduced Industry 4.0 technologies, which are a developing and hot trend in the last decade, focusing on the use of sensors and actuators in order to automate a series of processes. Industry 4.0 is used mainly in industries, and its methodologies and tools have also been used in the gas industry. During the process reengineering (TO-BE), four Industry 4.0- related domains were identified, in which major improvements could be applied: the use of smart meters in order to measure gas consumption, the use of smart tags in order to manage the maintenance of gas equipment, the use of smart tags in order to control document traceability within the company and the coordination (integration) of the process using appropriate information systems. Based on the above, it is concluded that by using technologies and tools related to Industry 4.0, reorganizing processes and making a sensible investment, long-term savings can be achieved. In addition, the total duration of the process may be significantly reduced. The research effort should be continued by further analyzing more case studies which clarify the role and imp

关键词： optimization

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Continuous Key Agreement with Reduced Bandwidth 1

引用

3rd international symposium on Cyber Security Cryptography and Machine Learning (CSCML)

作者： Drucker, Nir Gueron, Shay Univ Haifa Haifa Israel Amazon Seattle WA 98109 USA

ISBN: (数字)9783030209513

ISBN: (纸本)9783030209513;9783030209506

Continuous Key Agreement (CKA) is a two-party procedure used by Double Ratchet protocols (e. g., Signal). This is a continuous and synchronous protocol that generates a fresh key for every sent/received message. It guarantees forward secrecy and post-compromise security. Alwen et al. have recently proposed a new KEM-based CKA construction where every message contains a ciphertext and a fresh public key. This can be made quantum-safe by deploying a quantum-safe KEM. They mention that the bandwidth can be reduced when using an ElGamal KEM (which is not quantum-safe). In this paper, we generalized their approach by defining a new primitive, namely Merged KEM (MKEM). This primitive merges the key generation and the encapsulation steps of a KEM. This is not possible for every KEM and we discuss cases where a KEM can be converted to an MKEM. One example is the quantum-safe proposal BIKE1, where the BIKE-MKEM saves 50% of the communication bandwidth, compared to the original construction. In addition, we offer the notion and two constructions for hybrid CKA.

关键词： Double Ratchet protocol Continuous Key Agreement Post Quantum Cryptography code-based cryptography BIKE

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Research on Optimal Access Location and Capacity of MultiStage Multi-Scenario Distributed Power Supply Based on OpenDSS 3

Research on Optimal Access Location and Capacity of MultiSta...

引用

3rd international symposium on Resource Exploration and Environmental Science, REES 2019

作者： Han, Jun Huang, Junhui Wu, Yuefeng Liu, Hong Xie, Zhenjian Huang, He Gui, Sanrong State Grid Jiangsu Economic Research Institute Nanjing210008 China Key Laboratory Ministry of Education on Smart Power Grids Tianjin University Tianjin300072 China

At present, the research on the planning problem of distributed power access distribution network is mostly carried out under the condition that the target annual load is known, and the impact of the differential load growth in different stages and the multi-scenario timing characteristics of the distribution network components are not considered. Aiming at this problem, an optimal access location and capacity calculation method for multi-period and multi-scenario distributed power supply based on OpenDSS is proposed. Firstly, the simulation principle and advantages of OpenDSS are explained from the aspects of model construction and power flow calculation. Secondly, the optimal power supply access model with multiple time slots and multiple scenarios is established with the goal of minimum planning end value. Thirdly, a model solving method based on particle swarm optimization is proposed. Finally, a typical example is chosen to calculate the optimal planning scheme of distributed power supply under multi-period, and the rationality of the model is verified. © Published under licence by IOP Publishing Ltd.

关键词： Distributed power generation

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Training Wasserstein GANs for Estimating Depth Maps

Training Wasserstein GANs for Estimating Depth Maps

引用

international symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Abdullah Taha Arslan Erol Seke Electrical and Electronics Engineering Eskişehir Osmangazi University Eskişehir Turkey

Depth maps depict pixel-wise depth association with a 2D digital image. Point clouds generation and 3D surface reconstruction can be conducted by processing a depth map. Estimating a corresponding depth map from a given input image is an important and difficult task in the computer vision field. Fortunately, with the advent of artificial intelligence, and especially deep learning based techniques new approaches for difficult tasks have been developed. One of the attractive structures is named as Generative Adversarial Network (GAN). However, training a GAN has been reported to be problematic in terms of optimization leading to some convergence issues. Vanishing or exploding gradients and mode collapses are some examples of these issues. Lately, several alternative optimization functions and distance measures have been investigated in order to handle these difficulties. Among these approaches, Wasserstein-1 distance and Wasserstein GAN (WGAN) offers a promising alternative. In this study, Wasserstein functions and its variants are investigated for the depth map estimation task from a given 2D face image. Different network structures are trained and compared in order to assess the effectiveness and stability. Quantitative analysis is conducted by calculating two separate error metrics between the network outputs and ground-truth values.

关键词： Generative adversarial networks Training optimization Face recognition Three-dimensional displays Task analysis Estimation

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Optimal Operation of Virtual Power Plant in a Day Ahead Market

Optimal Operation of Virtual Power Plant in a Day Ahead Mark...

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international symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Özge Pınar Akkaş Ertuğrul Çam Dept. of Electrical and Electronics Engineering Kırıkkale University Kırıkkale Turkey

The necessity for Renewable Energy Resources (RES) has become a major issue due to the shortage of adequate fossil fuels recently. In addition to fossil fuel shortages, global warming is also an anxiety for a lot of countries and companies. These problems have led to the addition of a large number of renewable energy sources to modern distribution systems. However, due to the high integration of RES to these systems and the intermittent characteristic of sources such as wind and solar, it causes variable production and uncertainty in the power system. It is proposed as a solution to gather these resources together in order to solve the problems caused by the changeable outputs of these resources. Virtual Power Plant (VPP) is described as the management of distributed generation facilities, energy storage systems and controllable loads by an Energy Management System (EMS). In this study, the VPP model consists of renewable energy sources such as wind power plant (WPP), solar power plant (SPP), biogas power plant (BPP) and pumped hydro storage plant (PHSP) as an energy storage system (ESS). The aim of the VPP is to maximize the net daily profit in a 24 h time interval. The proposed mixed integer linear programming (MILP) optimization problem is modeled in GAMS software and solved using CPLEX.

关键词： Energy storage Turbines optimization Cogeneration Renewable energy sources Biological system modeling

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