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检索条件"任意字段=21st International Conference on Distributed Computing and Intelligent Technology"

共 1611 条记录，以下是781-790 订阅

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P system as a computing tool for embedded feature selection and classification method for microarray cancer data 21

P system as a computing tool for embedded feature selection ...

引用

21st international conference on Membrane computing, CMC 2020

作者： Muniyandi, Ravie Chandren Elkhani, Naeimeh Research Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Selangor43600 Malaysia

ISBN: (纸本)9783030771010

Selection of relevant genes is the crucial task for sample classification in microarray data, where researchers try to identify the smallest possible set of genes that can still achieve good predictive performance. Due to the problem of higher risk of overfitting in wrapper methods and sensitivity of the best embedded way to filter out factor that leads to unstable model and significantly different gene subsets, in this paper, we propose a novel model for evaluating and improving techniques for selecting informative genes from microarray data. This model inspired by membrane computing and used the kernel P system (kP) as the variant of the P system to improve the performance of the intelligent algorithm, multi-objective binary particle swarm optimization (MObPSO). The proposed model consists of two main parts. First, kP-MObPSO, which resembles a wrapper type feature selection, and the second part that improves the results of the first part through an embedded feature selection and classification idea based on the kP system. Division, rewriting, and input/output rules are used to make interaction among the genes inside and between the particles. The proposed model applied to the colorectal and breast dataset contains 100 genes with six attributes. The embedded part of the model extracts the marker gene sets indicate more stability and reliability based on ROC measure as well as better error rate in comparison to the wrapper part of the model. In the paper, the lowest error rate by an embedded model is displayed as 0.1111 for breast cancer and 0.0769 for colorectal data. © Springer Nature Switzerland AG 2021.

关键词： Classification (of information)

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A budget constraint incentive mechanism in spatial-temporal mobile crowdsensing 21

A budget constraint incentive mechanism in spatial-temporal ...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Kong, Xujiao Li, Peng Zhang, Tao Tu, Meimei Liu, Qin College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China Department of Computer Science New York Institute of Technology United States School of Cyber Science and Engineering Wuhan University China

ISBN: (纸本)9781728120584

Mobile crowdsensing is an effective way to collect sensing data about regions of interest. Effective incentive mechanisms are invaluable in mobile crowd sensing, for recruiting a number of mobile users to fulfill coverage requirement in the interested regions. In this paper, we exploit the potential of mobile users by designing a spatial-temporal crowd sensing incentive mechanism for smartphone users. We first use the logistic regression technique to mine user preferences from the user's historical data. Then, we propose a sub-module approximation algorithm to solve the participant recruitment problem, which is proved to be an NP-hard problem. Moreover, we design the winner auction algorithm (WAA) based on the reverse auction mechanism to solve the critical payment allocation problem. Finally, we demonstrate that our mechanism achieves truthfulness, individual rationality, and high computation efficiency through both theoretical analysis and experimental simulation. © 2019 IEEE.

关键词： Approximation algorithms

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A fault-tolerant routing strategy with graceful performance degradation for fat-tree topology supercomputer 21

A fault-tolerant routing strategy with graceful performance ...

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作者： Xu, Jiaqing Cai, Dongjing He, Jie Tang, Fuqiao School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781728120584

In recent years, in order to solve the problem of high-speed signal transmission quality, the solution of short reach HSS + on-board optics + passive optical fiber is gradually replacing the original long reach HSS + AOC inter-switch interconnection scheme. When the on-board optics fails, its replacement time will be much higher than that of AOC, which increases the duration of interconnection failure in the system. We believe that it is essential that the fault-tolerant routing strategy can reduce the degradation of the performance of the interconnection network without suspending the operation of the tasks, as this will greatly improve the overall availability of the system during the duration of the failure. In this paper, a fault-tolerant routing strategy for fat-tree topology is proposed, which can tolerate multiple interconnect failures with only a graceful performance degradation through actual system testing. © 2019 IEEE.

关键词： Fault tolerance

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Investigation of Factors Related to the Impression of Clips Used for Automatic Generation of Accompaniment Intended by the User

Investigation of Factors Related to the Impression of Clips ...

引用

international Symposium on Soft computing and intelligent Systems (SCIS)

作者： Kaito Terachi Mio Suzuki Master Program of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan National Institute of Technology Kushiro College Kushiro Hokkaido Japan

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

We experimented to find the factors that determine the impression of a sound group to develop a system for the automatic arrangement of accompaniment. As an experimental result, the evaluation of the static characteristics of the evaluation results obtained revealed that each factor affected the impression. From the results of the static characteristics evaluation, it was found that each factor affects at least one impression by about 2dB.

关键词： Tools Signal to noise ratio Design methodology Semantics Instruments Heart standards

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Application-grained block I/O analysis for edge computational intelligent 21

Application-grained block I/O analysis for edge computationa...

引用

作者： Wan, Fangqi Han, Guangjie Jia, Gangyong Wan, Jian Jiang, Congfeng Department of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Department of Information and Communication Systems Hohai University Changzhou China Department of Computer Science and Technology Zhejiang University of Science and Technology Hangzhou China

ISBN: (纸本)9781728120584

Block I/O workload is widely used in studies on storage performance. However, few studies have focused on the workload characteristics of edge intelligent computing. A discrepancy exists between the workload and the storage, resulting in performance loss. Most studies have focused on the overall block I/O workload characteristics or the performance of the storage;however, a fine-grained analysis is required to understand the workload more comprehensively. In this paper, we propose the concept of an application-grained block I/O analysis for edge computational intelligent. Firstly describe the five steps of the application-grained block I/O analysis, i.e., trace collection, application isolation, application weighting, application trace analysis, and results. Subsequently, discuss the key points of the application-grained block I/O analysis. An application-grained block I/O analysis is performed using five off-the-shelf trace analysis tools and four evaluation parameters. © 2019 IEEE.

关键词： Trace analysis

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A distributed class-incremental learning method based on neural network parameter fusion 21

A distributed class-incremental learning method based on neu...

引用

作者： Guan, Hongtao Wang, Yijie Ma, Xingkong Li, Yongmou National Laboratory for Parallel and Distributed Processing College of Computer Science and Technology National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781728120584

Class-incremental learning has received considerable attention due to the better adaptability to constantly changing characteristic of online learning. The neural network is suitable for class-incremental learning because of batch training style and fine-tuning. However, as the rapid growth of data centers and data category, data isolated island problem presents a new challenge to the current machine learning model: how to provide an accurate training method in a distributed and incremental manner. Existing solutions cannot adapt to incremental classes without aggregating data. In this paper, we propose a distributed class-incremental learning framework, called DCIL, which iteratively updates new class parameters and fixes existing class parameters to achieve high training accuracy. Especially, we propose MF, a parameter fusion method to integrate the parameters of multi-nodes into a new global parameter. In order to match the requirements of identical columns corresponding to the known classes, we propose a single node class-incremental learning, called SCIL. To evaluate the performance of DCIL, we conduct experiments on 5 datasets under various parameter settings on both 2 and 4 nodes distributed scenarios. Extensive experiments confirm that DCIL outperform the general baselines and achieve classification accuracy closes to the method of data aggregating. © 2019 IEEE.

关键词： Iterative methods

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Design and implementation of CNN custom processor based on risc-v architecture 21

Design and implementation of CNN custom processor based on r...

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作者： Li, Zhenhao Hu, Wei Chen, Shuang College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System China

ISBN: (纸本)9781728120584

With the rapid development of CNN(convolutional neural networks), the traditional CPU platform can not make full use of the parallelism of CNN. We decide to adopt a new and popular processor architecture: the risc-v architecture for experimental design. In this paper, a new convolutional neural network processor is designed based on risc-v architecture. The processor can take advantage of the parallelism of CNN and is more flexible. This paper completely designed a CNN processor based on the risc-v architecture. The processor uses a classic five-stage pipeline structure, and implements instruction buffer memory and data buffer memory, and adds peripherals such as FLASH, SRAM, and SDRAM. And, this paper designed custom instructions. Given the convolution operation frequently occurring in CNN, vector store instruction, vector load instruction, vector addition instruction, and convolution operation instruction are designed to accelerate the execution of the convolution process. The design has passed the simulation experiment. It can not only complete the general instructions but also run the custom instructions. The final simulation test verified the correctness of the design. © 2019 IEEE.

关键词： Convolution

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Low-Dimensional Classification of Text Documents 14th

Low-Dimensional Classification of Text Documents

引用

14th international conference on Dependability of Computer Systems, DepCoS-RELCOMEX 2019

作者： Walkowiak, Tomasz Datko, Szymon Maciejewski, Henryk Faculty of Electronics Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783030195007

In this paper we focus on overcoming a common belief that accurate subject classification of text documents must involve high dimensional feature vectors. We study the fastText algorithm in terms of its ability to find and extract well distinguishable characteristics for a text corpora. In research we compare the achieved accuracy in the task of subject classification with various size of feature space selected. Finally, we attempt to discover the foundation behind fastText’s well performance. © 2020, Springer Nature Switzerland AG.

关键词： Text processing

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strip adjustment of airborne laserscanning data with conformal geometric algebra

Strip adjustment of airborne laserscanning data with conform...

引用

international Symposium on Soft computing and intelligent Systems (SCIS)

作者： Eckhard Hitzer Werner Benger Manfred Niederwieser Ramona Baran Frank steinbacher College of Liberal Arts International Christian University Tokyo Japan Center for Computation & Technology Louisiana State University Baton Rouge USA Airborne HydroMapping GmbH Innsbruck Austria

In this work we describe how to use the iterative closest point method for the adjustment of airborne laser scanning data strips in the framework of conformal geometric algebra, using rotors, translators, motors and d... 详细信息

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

关键词： strips Algebra Rotors Global navigation satellite system Earth Quaternions Trajectory

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Building quick resource index list using wordnet and high-performance computing resource ontology towards efficient resource discovery 21

Building quick resource index list using wordnet and high-pe...

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作者： Zhou, Aolong Ren, Kaijun Li, Xiaoyong Zhang, Wen Ren, Xiaoli College of Meteorology and Oceanology National University of Defense Technology China College of Computer National University of Defense Technology China

ISBN: (纸本)9781728120584

High-performance computing (HPC) has played a significant role in scientific discovery and technological innovation, but resources distributed in cross-regional supercomputing centers are still used inefficiently and hard to be managed uniformly, due to various challenging issues like the complex resource types, the heterogeneous interfaces of the resource management software, the inefficient coordination of software and hardware, and the lack of available and standardized description specification model. In this paper, we first propose a HPC resource ontology model called HPCRO to define the concepts of hardware resources and software resources, and specifies types, attributes, logical relations, and data transfer among resources. Moreover, based on the proposed model, we further propose a method called WordNet-based Quick Resource Index List (WQRIL) to support efficient HPC resources discovery. Specifically, the method extends and optimizes the existing method with Quick Service Quick List (QSQL) by extracting synonyms of ontology concepts from WordNet. The method not only can provide a unified representation of HPC resources, but also can support semantic-based fuzzy matching. More importantly, it improves the usability and utilization of hardware and software resources effectively in cross-regional high-performance computing centers. Extensive experiments have been conducted to verify the effectiveness and efficiency of our proposals. © 2019 IEEE.

关键词： Ontology

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