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检索条件"主题词=Algorithm Design And Analysis"

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Selective multi-sample anti-aliasing for mobile vector graphics

Selective multi-sample anti-aliasing for mobile vector graph...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Jaedon Lee Jeong-Joon Yoo Soojung Ryu Jeongwook Kim Samsung Advanced Institute of Technology Samsung Electronics Co. Ltd Korea

Vector graphics is a key technology for drawing 2D graphics images on the mobile devices. As screen resolution increases and multi-touch interface is widely used in mobile devices, the efficient solution for vector graphics becomes more important. For future mobile environments, we should process vector graphics with high performance and low power. In this paper, we have proposed the efficient anti-aliasing algorithm for mobile vector graphics. We can have greatly reduced sample counts by selective multi-sampling, which uses multi-sampling only for the pixels which meet the contour of the image. We can find the multi-sampling pixel by simple pixel-primitive intersection test. To reduce the cost of intersection test, we have proposed the pixel block algorithm which processes adjacent pixels together. For more optimization, we use hierarchical sampling. Our optimized S-MSAA (Selective Multi-Sample Anti-Aliasing) is 29.4 times faster than the original 16× MSAA.

关键词： Graphics processing units Graphics algorithm design and analysis Mobile communication Mobile handsets Windings Image resolution

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Joint remote radio head activation and beamforming for energy efficient C-RAN

Joint remote radio head activation and beamforming for energ...

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Yan Zeng Xiangming Wen Zhaoming Lu Yawen Chen Hua Shao Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509020621

The cloud radio access network (C-RAN) has emerged as a promising architecture to provide extremely high throughput with fantastic energy efficiency (EE) performance. However, as all the RRHs need to be connected to the baseband unit pool (BBU) through transport links, the transmit power consumption becomes significant, which result in the demands of new researches in energy efficiency optimization. In this paper, we focus on the dynamic remote radio head (RRH) activation and network EE optimization in order to fully reap the benefits brought by Green C-RAN. First, an EE optimization problem that jointly considers RRH activation and group sparse beamforming is formulated, which is hard to solve due to its non-convexity nature. Thus, we utilize the weighted minimal mean square error (WMMSE) method to transfer the non-convex EE problem into a concave-convex fractional program problem. And the Lagrangian theory is exploited to assist the problem analysis and algorithm design. Specifically, the weighted group sparse beamforming algorithm is proposed. In this algorithm, we adopt the mixed l 1 =l p -norm to induce group sparsity in the beamformers, which corresponds to switching off RRHs. Simulation results will show that the proposed algorithm can significantly improve the EE for C-RAN.

关键词： Optimization Power demand algorithm design and analysis Array signal processing Linear programming Energy consumption Baseband

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An ultra-fast multi-objective optimization algorithm for VLIW architecture

An ultra-fast multi-objective optimization algorithm for VLI...

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East-West design & Test Symposium (EWDTS)

作者： Samira Nazari Maryam Hassani Ali Azarpeyvand Department of Electrical and Computer Engineering University of Zanjan

ISBN: (纸本)9781509006946

In this paper, a novel ultra-fast multi-objective optimization algorithm for VLIW architecture design space exploration has been proposed. This method which is based on design space pruning, is applicable to any architecture objectives such as the number of issue widths, ALUs, the number of register file clusters and etc. Proposed method could be utilized for optimizing the configuration to meet various constraints of the design. Having defined several distinct objectives in this study, our heuristic method is deployed to optimize the design in terms of performance and cost. Implementation of the algorithm for three sample applications has resulted in substantial speed improvement (over 35000 times more) and negligible error (up to 3.5%).

关键词： VLIW Space exploration Program processors Computer architecture Registers Optimization algorithm design and analysis

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analysis of Crime Rate Distribution Based on TPML-WMA

Analysis of Crime Rate Distribution Based on TPML-WMA

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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： Xinlei Wei Jinyao Yan Zheng Chen Tuo Shi Information Engineering School Laboratory of Media Audio & Video Computer NIC Center Communication University of China Beijing China

ISBN: (纸本)9781509051557

Crime distribution forecasting has a positive impact on social stability and has drew much attention in academia. Existing research methods are not applicable for specific research problems or specific data sets very well. So we build the Vector Motion Model and propose a new algorithm named as TPML-WMA (Transition Probability Matrix Learning and Weighted Moving Average algorithm) to predict a future robbery distribution and figure out how it transfers. According to the idea of machine learning algorithm, we let the transition probability matrix to learn by itself, and do the weighted moving processing on the matrices. Using data from 2001 to 2011 from a city in China, we set up the model, evaluate the TPML-WMA algorithm on brigandage prediction and discuss the performance of algorithms under different initial conditions. At the same time, we compare the proposed algorithm with the classical linear regression method based on the least square method. The results illustrate that the prediction performance of TPML-WMA is greatly improved compared with the linear regression method.

关键词： Prediction algorithms Linear regression Machine learning algorithms Predictive models Data models Mathematical model algorithm design and analysis

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A phase based optimization algorithm for big optimization problems

A phase based optimization algorithm for big optimization pr...

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Congress on Evolutionary Computation

作者： Zijian Cao Lei Wang Xinhong Hei Qiaoyong Jiang Xiaofeng Lu Xiaofan Wang School of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (纸本)9781509006243

An effective and scalable metaheuristic algorithm termed Phase Based Optimization (PBO) for solving big optimization problems is proposed. In the natural system, the individuals with three phases which are gas phase, liquid phase and solid phase have completely different motional characteristics. PBO mimics the above three kinds of motional characteristics of individuals, and three corresponding operators, diffusion operator of gas individuals, flowing operator of liquid individuals and perturbation operator of solid individuals are devised. The diffusion operator and the flowing operator are utilized to perform the task of divergence and convergence respectively, and the perturbation operator plays a role of fine-tune search. Despite its algorithmic simplicity, PBO can effectively find a very better solution even in a high dimensional search space. The experimental results demonstrate that PBO can provide much better accuracy on optimized solutions and lower time complexity than the other state-of-the-art optimization algorithms.

关键词： Optimization Liquids Solids algorithm design and analysis Big data Electroencephalography Time series analysis

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Object identification in Vision Systems for expert learning platforms

Object identification in Vision Systems for expert learning ...

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International Conference on Advances in ICT for Emerging Regions

作者： A.D.T.U. Alawala Pearson Lanka (Pvt) Ltd Orion City Rigel Building Sri Lanka

ISBN: (纸本)9781509060795

This Vision System would be able to identify the objects in the digital imagery by reducing the current limitations by increasing accuracy. Further the extensively trained Vision System could be applied over the Learning Platforms where the outcome could be used to develop rich learning tools where the learners could learn through vision over text.

关键词： Object recognition Artificial neural networks Feature extraction algorithm design and analysis Machine learning Digital images

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Automatic hopping among pools and distributed applications in the Bitcoin network

Automatic hopping among pools and distributed applications i...

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Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Juan José García Chávez Carlo Kleber da Silva Rodrigues Departamento de Eléctrica y Electrónica Universidad de las Fuerzas Armadas ─ ESPE Sangolqui Ecuador UniCEUB University Center of Brasilia Brasilia DF Brazil

Herein it is proposed a simple algorithm for automatic hopping among mining pools in the Bitcoin network. The hopping ceases to occur when the best pool to be mined is found. The choice of the best pool is based on statistical data generated and collected during the operation of the Bitcoin network. Experiments for validation and performance analysis are based on mining networks built specifically for this purpose. The major results show for instance that the bitcoin generation increases at 46.0% comparing to when the mining is carried out in only one isolated pool. Additionally, it is evaluated the possibility of implementing a distributed application making use of the proposed algorithm. Lastly, general conclusions and possible avenues for future works are highlighted at the end of this article.

关键词： Online banking Measurement Protocols algorithm design and analysis Data mining Standards Peer-to-peer computing

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A clock gating design for high speed treatment and optimized power of image processing circuit

A clock gating design for high speed treatment and optimized...

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International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

作者： Siwar Ben Haj Hassine Bouraoui Ouni Faculty of Sciences Laboratory of Electronic and Microelectronics Monastir Tunisia

ISBN: (纸本)9781509034086

The recent rise of image processing circuits all along with the persistent quest for higher levels of performance have enormously contributed to the need of creating more efficient types of image processing circuit. For that, we have proposed a new design that offers us not only a less consuming circuit but also a faster one. Our new design has been tested and has given an interesting gain in power as well as in response time compared to classical one.

关键词： Clocks Time factors Image processing Power demand algorithm design and analysis Field programmable gate arrays Multiplexing

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Mining spatio-temporal patterns of congested traffic in urban areas from traffic sensor data

Mining spatio-temporal patterns of congested traffic in urba...

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International Conference on Intelligent Transportation

作者： Ryo Inoue Akihisa Miyashita Masatoshi Sugita School of Information Sciences Tohoku University Sendai Japan. Japan Road Traffic Information Center Tokyo Japan

ISBN: (纸本)9781509018901

Road traffic condition in cities are complicated by the daily, weekly, seasonally, and weather-induced traffic demand fluctuations and the effects caused by the control of traffic signals. Therefore, it is difficult to quantitatively analyze typical traffic congestion patterns that are represented by the time and place of occurrence, the process of propagation and diminution, duration time, and many others. This study proposed a method to enumerate traffic congestion patterns from traffic sensor data based on frequent pattern mining developed in information science to understand the present situations of traffic congestion in cities. The feasibility and effectiveness of the proposed method have been evaluated through the analysis of typical congestion patterns using the traffic sensor data in Okinawa, Japan.

关键词： Data mining algorithm design and analysis Itemsets Urban areas Roads Electronic mail

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An efficient flow monitoring algorithm using a flexible match structure

An efficient flow monitoring algorithm using a flexible matc...

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IEEE Workshop on High Performance Switching and Routing

作者： Ze Yang Kwan L. Yeung Department of Electrical & Electronic Engineering The University of Hong Kong Hong Kong

ISBN: (纸本)9781479989515

We focus on designing efficient flow monitoring algorithms in SDN/OpenFlow by fully exploiting all three polling mechanisms, poll-single, poll-some and poll-all. Notably, the poll-some mechanism has not been adopted by any existing flow monitoring algorithm due to the inflexible match structure standardized in the early version of the OpenFlow specification. To enable the poll-some mechanism, we need to find out the minimum number of match structures required to exactly match all not-yet-covered flows at a switch. An efficient heuristic called Critical Column First (CCF) is then proposed for solving the Minimum Match Structure (MMS) problem. The idea is to consider the column of the flow matrix that can potentially identify the largest number of not-yet-covered flows first. With CCF, an existing flow monitoring algorithm called LFF [1] is extended to support all three polling mechanisms. We call it LFF+ algorithm. As compared with LFF, simulation results show that LFF+ can cut down the communication cost by about 54%.

关键词： Switches Monitoring algorithm design and analysis Periodic structures Conferences Routing

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