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检索条件"主题词=computation efficiency"

共 138 条记录，以下是91-100 订阅

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DISVMs: Fast SVMs Training on Large-scale Data Sets 28

DISVMs: Fast SVMs Training on Large-scale Data Sets

引用

28th Annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

作者： Cui, Lijuan Wang, Changjian Li, Ziyang Peng, Yuxing Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha Hunan Peoples R China

ISBN: (纸本)9781509044597

Support Vector Machines (SVMs) are powerful classification tools. However, the model training is very time-consuming when meeting large scale data sets. Some efforts have been devoted to screening out non-support vectors (nonSVs) to accelerate the training. But their processes rely on prior knowledge of other classifiers with different parameters to screen out non-SVs. In this paper, we propose Directional Indicator Support Vector Machines (DISVMs) to efficiently identify non-SVs. DISVMs employs a directional indicator, which points to the approximately orthogonal direction of the separating hyperplane, to qualitatively define the location of different samples and thus identify non-SVs. Furthermore, DISVMs leverages a two-stage algorithm: the first stage is to compute the directional indicator. The second stage is to identify non-SVs using the indicator. To avoid misjudgement, we propose CnSV method for non-SVs based on the majority rule. DISVMs screens out non-SVs with light computation and little accuracy loss. Experiments show that our approach significantly reduces the total computation cost.

关键词： Support vector machines Non-support vector Directional indicator computation efficiency Data preprocessing

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Novel computation-Efficient Three-Phase EPLL-based Grid Synchronization Techniques Considering Power Quality Issues 25

Novel Computation-Efficient Three-Phase EPLL-based Grid Sync...

引用

25th Mediterranean Conference on Control and Automation (MED)

作者： Bendrat, Florian Chhor, Johnny Sourkounis, Constantinos Ruhr Univ Bochum Dept Elect Engn & Informat Technol Inst Power Syst Technol & Power Mechatron Bochum Germany

ISBN: (纸本)9781509045334

y The deterioration of power quality is posing an increasing problem for low and medium voltage grids. At the same time, grid codes place ever stricter requirements for the operation of distributed generation systems, especially regarding fault-ride-through capabilities during more severe grid fault events. Therefore, a proper operation of converter-based power systems needs to be guaranteed, requiring robust and reliable synchronization techniques. Within the scope of this paper, novel topologies of three-phase synchronization systems based on Enhanced Phase-Locked Loops are presented with the main objective to significantly increase computational efficiency. Their parameter dependent properties are assessed based on simulative investigations.

关键词： Grid synchronization enhanced phase-locked loop power quality computation efficiency power converter control

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RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection 26th

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain...

引用

26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

作者： Kang, Ming Ting, Chee-Ming Ting, Fung Fung Phan, Raphael C. -W. Monash Univ Sch Informat Technol Malaysia Campus Subang Jaya Malaysia

ISBN: (纸本)9783031439001;9783031439018

With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection. However, the performance of using YOLO networks is scarcely investigated in brain tumor detection. We propose a novel YOLO architecture with Reparameterized Convolution based on channel Shuffle (RCS-YOLO). We present RCS and a One-Shot Aggregation of RCS (RCS-OSA), which link feature cascade and computation efficiency to extract richer information and reduce time consumption. Experimental results on the brain tumor dataset Br35H show that the proposed model surpasses YOLOv6, YOLOv7, and YOLOv8 in speed and accuracy. Notably, compared with YOLOv7, the precision of RCS-YOLO improves by 1%, and the inference speed by 60% at 114.8 images detected per second (FPS). Our proposed RCS-YOLO achieves state-of-the-art performance on the brain tumor detection task. The code is available at https://***/mkang315/RCS-YOLO.

关键词： Medical image detection YOLO Reparameterized convolution Channel shuffle computation efficiency

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Novel Hybrid Soft-Hard Demodulation Schemes for RQD Constellation

Novel Hybrid Soft-Hard Demodulation Schemes for RQD Constell...

引用

35th International Conference on Telecommunications and Signal Processing (TSP)

作者： Saleh, Mona Z. Sadek, Mirette El Ramly, Salwa H. Ain Shams Univ Elect & Commun Engn Dept Cairo Egypt

ISBN: (纸本)9781467311182

Rotated constellation with Q-delay (RQD) is a new modulation scheme adopted by some wireless standards including the second generation of the digital video broadcasting for terrestrial (DVB-T2) system. This scheme offers significant improvement over unrotated modulation in terms of bit error rate (BER) performance due to its signal space diversity. In this paper, we present four novel computationally efficient demodulation schemes with hybrid soft-hard outputs used in hard demapping of data. The main idea is to take advantage of the unique projections the rotated cells have in the RQD system. The proposed schemes reduce the number of log likelihood ratio (LLR) computations. One proposed scheme gives the same BER performance as traditional LLR while reducing the computational complexity by 34% at SNR = 20 dB. Another scheme reduces the computations by 25% independent of the SNR level. The other two schemes offer a tradeoff between computational complexity and power efficiency.

关键词： computation efficiency DVB-T2 hybrid soft-hard demodulation schemes RQD constellation

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Data randomization for lightweight secure data aggregation in sensor network

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5th International Conference on Ubiquitous Intelligence and Computing

作者： Mohaisen, Abedelaziz Jeong, Ik Rae Hong, Dowon Jho, Nam-Su Nyang, DaeHun Elect & Telecommun Res Inst Taejon 305700 South Korea Korea Univ Grad Sch Informat Security Seoul South Korea Inha Univ Informat Security Res Lab Incheon South Korea

ISBN: (纸本)9783540692928

Data aggregation is one of the main purposes for which sensor networks are developed. However, to secure the data aggregation schemes, several security-related issues have raised including the need for efficient implementations of cryptographic algorithms, secure key management schemes' design and many others. Several works has been introduced in this direction and succeeded to some extent in providing relatively efficient solutions. Yet, one of the questions to be answered is that, can we still aggregate the sensed data with less security-related computation while maintaining a marginal level of security and accuracy? In this paper, we consider data randomization as a possible approach for data aggregation. Since the individual single sensed record is not of a big concern when using data for aggregation, we show how data randomization can explicitly hide the exact single data records to securely exchange them between nodes. To improve the security and accuracy of this approach, we introduce a hybrid scheme that uses the cryptographic approach for a fraction of nodes. We study the efficiency of our schemes in terms of the estimate accuracy and the overhead.

关键词： security sensor network data aggregation computation efficiency data randomization experimental justification

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A computationally-Efficient Construction for the Matrix-Based Key Distribution in Sensor Network

A Computationally-Efficient Construction for the Matrix-Base...

引用

3rd International Conference on Information Security and Assurance

作者： Mohaisen, Abedelaziz Jho, Nam-Su Hong, Dowon Elect & Telecommun Res Inst Informat Secur Div Cryptog Res Team Taejon 305700 South Korea

ISBN: (纸本)9783642026164

Key pre-distribution in wireless sensor network is aimed at delivering keys to sensor networks at the low expense of computation, communication, and memory while providing a high degree of security expressed by network resiliency to node capture. In this paper, we introduce a computationally efficient construction for the symmetric matrix-based key distribution. Particularly, this work introduces an original modification over the well known DDHV scheme (by Du et al.). Our modification shows that using a specific structures for the public matrix instead of fully random matrix with elements in Z(q) can reduce the computation overhead for generating the key information and the key itself at the expense of small memory overhead. Our modification guarantees the same level of security for restricted network size. We show an extensive security analysis of the provided scheme in different settings and compare to the relevant works in the literature to demonstrate its merit.

关键词： wireless sensor network key distribution computation efficiency security

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Increasing efficiency in disparity calculation

Increasing efficiency in disparity calculation

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2nd International Symposium on Brain, Vision and Artificial Intelligence

作者： Ralli, Jarno Pelayo, Francisco Diaz, Javier Univ Granada Escuela Tecn Super Ingn Informat Telecommun Dept Arquitectura & Tecnol Computadores Calle Periodista Daniel Saucedo Aranda S-N E-18071 Granada Spain

ISBN: (纸本)9783540755548

In this paper a trade-off between the computation effort and the accuracy of the resulting disparity map, obtained using interpolation over spatial domain, is presented. The accuracy of the obtained disparity map is presented as the mean squared error calculated over the known disparity ground truth of test images, while efficiency increase is presented in terms of algorithm run-times. Even when reducing the search space for correspondences using epipolar geometry, disparity calculation methods are considered computationally more expensive than interpolation. We show that substantial efficiency increase can be gained using interpolation, in comparison to calculating the dense disparity map directly. As will be shown interpolation also permits us to approximate a disparity value for the occluded pixels. The main contribution of our work is the disparity calculation efficiency increase using interpolation, that fits the sparse disparity map as a 2D surface.

关键词： dense disparity map interpolation visual completion computation efficiency

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Improving the performance of genetic simulation for asynchronous finite state machines

Improving the performance of genetic simulation for asynchro...

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10th World Multi-Conference on Systemics, Cybernetics and Informatics/12th International Conference on Information Systems Analysis and Synthesis

作者： Geng, Xiaojun Calif State Univ Northridge Dept Elect & Comp Engn Northridge CA 91330 USA

ISBN: (纸本)9789806560697

Genetic algorithms have been used to solve identification problem of Asynchronous Finite State Machines. This paper presents the various techniques to improve the performance of the genetic algorithm in terms of computation efficiency. Three different methods to produce the initial population of valid chromosomes are proposed and compared, analytically and experimentally. A repairing method is developed to eliminate the invalid chromosomes resulted from crossover and mutation operations. Experiments show the proposed schemes increase the efficiency of the genetic algorithm.

关键词： genetic algorithms asynchronous finite state machines model identification computation efficiency

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Comparison of computational Efficiencies of MoM Solutions for EFIE/CFIE Problems on Triangulated and Quadrilateral Geometries 26

Comparison of Computational Efficiencies of MoM Solutions fo...

引用

IEEE 26th International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED)

作者： Bogdanov, Faik Svanidze, Lily Chochia, Irina Jobava, Roman EMCoS LLC ElectroMagnet Consulting & Software Tbilisi Georgia Georgian Tech Univ GTU Tbilisi Georgia Iv Javakhishvili Tbilisi State Univ TSU Tbilisi Georgia

ISBN: (纸本)9781665401029

This paper is intended to systematize the topology of quadrilaterals based on the previously proposed classical approach. We introduce an alternative representation of the generalized roof-top basis function (BF) for the method of moments (MoM) and consider the relationship between the edge-to-edge and face-to face calculation of matrix elements. Finally, we compare the computational efficiencies of triangular, quadrilateral and mixed meshes for the analysis of metallic, dielectric and combined (metallic and dielectric) geometries.

关键词： Method of Moments (MoM) surface integral equations (SIE) triangles quadrilaterals computation efficiency

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GhostMorph: A computationally Efficient Model for Deformable Inter-Subject Registration

GhostMorph: A Computationally Efficient Model for Deformable...

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Conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions, and Modeling

作者： Hu, Mingzhe Pan, Shaoyan Yang, Xiaofeng Emory Univ Dept Comp Sci & Informat Atlanta GA 30322 USA Emory Univ Dept Biomed Engn Atlanta GA 30322 USA Emory Univ Dept Radiat Oncol Winship Canc Inst Sch Med Atlanta GA 30322 USA

ISBN: (纸本)9781510671614;9781510671607

This work presents GhostMorph, an innovative model for deformable inter-subject registration in medical imaging, inspired by GhostNet's principles. GhostMorph addresses the computational challenges inherent in medical image registration, particularly in deformable registration where complex local and global deformations are prevalent. By integrating Ghost modules and 3D depth-wise separable convolutions into its architecture, GhostMorph significantly reduces computational demands while maintaining high performance. The study benchmarks GhostMorph against state-of-the-art registration methods using the Liver Tumor Segmentation Benchmark (LiTS) dataset, demonstrating its comparable accuracy and improved computational efficiency. GhostMorph emerges as a viable, scalable solution for real-time and resource-constrained clinical scenarios, marking a notable advancement in medical image registration technology.

关键词： Deformable Registration computation efficiency Depth-wise Separable Convolution

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