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检索条件"任意字段=3rd International Conference on Soft Computing in Data Science, SCDS 2017"

共 694 条记录，以下是221-230 订阅

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Transfer pretrained sentence encoder to sentiment classification 3

Transfer pretrained sentence encoder to sentiment classifica...

引用

3rd IEEE international conference on data science in Cyberspace, DSC 2018

作者： Bai, Man Han, Xu Jia, Haoran Wang, Cong Sun, Yawei School of Software Engineering Beijing University of Posts and Telecommunications Beijing100876 China International School Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Ministry of Education Beijing100876 China

ISBN: (纸本)9781538642108

Deep learning has been demonstrated to be very effective in many difficult tasks of computer vision(CV) and natural language processing(NLP). But this usually depends on a large number of available training samples to learn, and powerful computing resources (like GPU). In the tasks of computer vision, multiple deep layers of the model are initialized with weights pre-trained on the large-scale datasets like ImageNet, which improves the training speed of the network but does not reduce the performance of the network. Inspired by this, in this paper, in order to demonstrate that transfer is also effective in natural language processing(NLP), we transfer the encoder parts of two models trained under different tasks of NLP to sentiment classification. In the result, we can find that even if we use a simple classifier, we still get good accuracy. And we propose a persuasive explanation for the phenomenon that why the similarity of the representation vectors obtained by different encoders under the same sentence is not high. © 2018 IEEE.

关键词： Computer vision

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Research on the Engineer of Financial System Process in Power Enterprises Based on "big data" + "cloud computing" 3

Research on the Engineer of Financial System Process in Powe...

引用

2018 3rd international conference on Insulating Materials, Material Application and Electrical Engineering, IMMAEE 2018

作者： Li, Chunyang Qu, Huanbo Jilin Technology College of Electronic Information Jilin132000 China

Big data generation in power companies is particularly prominent in financial accounting, which is particularly prominent in financial accounting. According to the traditional financial accounting process and system, it is impossible to accurately analyze large amounts of financial data. In the era of big data and cloud computing, it provides very convenient conditions for the Engineer of financial processing processes of power companies. Through cloud computing technology, the characteristics of power big data are analyzed, and the decision-making process of traditional financial system is reconstructed, which highlights the application of big data and cloud computing in smart grid. Taking the operation and maintenance cost analysis of actual substation as an example, the use of big data ideas for objective analysis enables China's power companies to seize this period and quickly complete the financial system process Engineer to adapt to the development of the times. © Published under licence by IOP Publishing Ltd.

关键词： Cloud computing

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Evaluation of business english majors teaching quality based on the attribute importance of rough set 2019

Evaluation of business english majors teaching quality based...

引用

3rd international Workshop on Education, Big data and Information Technology, EBDIT 2019

作者： Fan, Yanying Jiang, Suping Zhang, Zimin Chen, Guanping Chen, Yangming Li, Biqing College of Mathematics and Computer Hezhou University Hezhou Guangxi542899 China Guangxi Talent International College Qinzhou Guangxi535000 China College of Tourism and Sports Hezhou University Hezhou542899 China School of Mathematics and Computer Science Hezhou University Hezhou542899 China School of Information and Communication Engineering Hezhou University Hezhou Guangxi542899 China

ISBN: (纸本)9781450372053

Aiming at the unreasonable weight allocation in traditional teaching evaluation, rough set theory (RST) is applied to the process of teaching evaluation. Using the Teaching Quality evaluation data of Business English Majors from Guangxi Talent international College, we establish the evaluation information system, and calculate the importance of evaluation index, based on which, the weight of index is calculated. Finally, the evaluation results are calculated according to the weight of index. The weight of rough set index is determined entirely by the data itself, avoiding the influence of subjective factors, so it is more scientific, reasonable, objective and fair. © 2019 Association for computing Machinery.

关键词： Rough set theory

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Spark based ANFIS approach for anomaly detection using big data 3rd

Spark based ANFIS approach for anomaly detection using big d...

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3rd international conference on Next Generation computing Technologies, NGCT 2017

作者： Santosh, Thakur Ramesh, Dharavath Dhanbad DhanbadJharkhand826004 India

ISBN: (纸本)9789811086595

Business intelligence is one of the applications that can benefit from various techniques and methodologies to patronize the unlablled big data anomalies. To address this issue, in this paper, we present a model to identify anomalies in spark environment using related big data. To optimize this instance, we use an open source software framework named Spark for analyzing the big data. Spark contains powerful APIS for machine learning and soft computing algorithms. To handle and detect the anomaly instances in the perspective of big data, Apache spark is installed on the top of the Hadoop and Adaptive Neuro Fuzzy Interface System (ANFIS) is implemented in spark. The variant of Hadoop HDFS is used as a data source through resilient distributed data sets (rdDs) data which is fetched in the spark. Experimental results show that the proposed method outperforms in a fault tolerant manner and also records accurate instances in the distributed environment. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Anomaly detection

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Quantified Self: Big data Analysis Platform for Human Factor Efficacy Evaluation of Complex System 3rd

引用

3rd international conference on Human Centered computing (HCC)

作者： Li, Chaoqiang Hou, Wenjun Chen, Xiaoling Li, Hao China Elect Sci Res Inst Beijing Peoples R China Beijing Univ Post & Telecommun Sch Digital Media & Design Arts Beijing 100876 Peoples R China Beijing Univ Post & Telecommun Beijing Key Lab Network & Network Culture Beijing 100876 Peoples R China

ISBN: (纸本)9783319745213;9783319745206

By analyzing the factors affecting the airborne mission system, this paper applied the method of Quantified Self to the evaluation of human effectiveness in the military airborne mission system. According to the depth of interaction between people and information, we divide the information circumstance into four aspects including individual, equipment, network and environment. Then we construct a complete individual Quantified Self information interaction system by collecting physiological data, cognitive data, behavioral data and environmental data. Finally, the functional architecture and composition of the ergonomic evaluation platform are given in combination with the airborne mission system.

关键词： Quantified Self Complex information system Big data

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Anti-data Mining on Group Privacy Information 3rd

引用

3rd international conference on Human Centered computing (HCC)

作者： Yang, Fan Tian, Tian Yao, Hong Zhao, Xiuyu Zheng, Tinggang Ning, Min China Univ Geosci Comp Sch Wuhan 430074 Hubei Peoples R China Founder Int Software Beijing Co Ltd Beijing 100080 Peoples R China

ISBN: (纸本)9783319745213;9783319745206

In the big data era, privacy preserving is a vital security challenge for data mining. Common object of privacy preserving is personal privacy, which should be kept unrevealed while data mining on group information. However, for a few sensitive groups, such as suffering from some particular disease, engaging in some special occupation or having some peculiar hobby, even if every personal data is processed for privacy preserving, group specificity can be still exposed. Therefore, we propose the concept and method of anti-data mining on group privacy information. By adding, swapping data according to our rules, the minable characteristic and group specificity of original data is destroyed and eliminated to prevent group privacy from data mining.

关键词： Anti-data mining Group privacy information Privacy preserving Group specificity

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A Clothes Classification Method Based on the gcForest 3

A Clothes Classification Method Based on the gcForest

引用

3rd IEEE international conference on Image, Vision and computing, ICIVC 2018

作者： Han, Li Haihong, Zhao Erxin, Yu Yuming, Bai Huiying, Li College of Software Jilin University Changchun Jilin province130012 China College of Computer Science and Technology Jilin University Symbol Computation and Knowledge Engineer of Ministry of Education Jilin University Changchun Jilin province130012 China

ISBN: (纸本)9781538649916

In this paper, we propose a clothes classification method, an application of the gcForest. The gcForest, a novel decision tree ensemble method proposed by Zhou and Feng, performs excellently in many experiments. Moreover, we come up with some adjustment approaches for gcForest. Using these adjustment approaches, we get a satisfactory result when gcForest is used for clothes classification task. Furthermore, we create a data set for clothes classification which contains 8 categories of clothes including a total of 52000 images. And we preprocess the images in the data set by GrabCut-based clothes extraction algorithm. © 2018 IEEE.

关键词： Classification (of information)

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A CFD Heterogeneous Parallel Solver Based on Collaborating CPU and GPU 3

A CFD Heterogeneous Parallel Solver Based on Collaborating C...

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3rd international conference on Mechanical and Aeronautical Engineering (ICMAE)

作者： Lai, Jianqi Tian, Zhengyu Li, Hua Pan, Sha Natl Univ Def Technol Coll Aerosp Sci & Engn Deya Rd Changsha Hunan Peoples R China

Since Graphic Processing Unit (GPU) has a strong ability of floating-point computation and memory bandwidth for data parallelism, it has been widely used in the areas of common computing such as molecular dynamics (MD), computational fluid dynamics (CFD) and so on. The emergence of compute unified device architecture (CUDA), which reduces the complexity of compiling program, brings the great opportunities to CFD. There are three different modes for parallel solution of NS equations: parallel solver based on CPU, parallel solver based on GPU and heterogeneous parallel solver based on collaborating CPU and GPU. As we can see, GPUs are relatively rich in compute capacity but poor in memory capacity and the CPUs do the opposite. We need to make full use of the GPUs and CPUs, so a CFD heterogeneous parallel solver based on collaborating CPU and GPU has been established. Three cases are presented to analyse the solver's computational accuracy and heterogeneous parallel efficiency. The numerical results agree well with experiment results, which demonstrate that the heterogeneous parallel solver has high computational precision. The speedup on a single GPU is more than 40 for laminar flow, it decreases for turbulent flow, but it still can reach more than 20. What's more, the speedup increases as the grid size becomes larger.

关键词： Graphics processing unit

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Information Security Technology and Application in Logistics Traceability System of Aquatic Products Based on QR Code 3rd

引用

3rd international conference on Human Centered computing (HCC)

作者： Zu, Qiaohong Chen, Rui Wuhan Univ Technol Sch Logist Engn Wuhan 430063 Hubei Peoples R China

ISBN: (纸本)9783319745213;9783319745206

In view of the security hidden danger of the business data in the logistics traceability system of aquatic product, the design of the information security strategy is carried out from the two angles, which are data collection and transmission. Firstly, the aquatic traceability code is designed. Then the data encryption algorithm is studied, and the data security transmission of information security protection system is built. In the intelligent collection of traceability data, QR Code is used to express the logistics trace data, then uses the improved data encryption algorithm to encryption storage about QR Code. In the transmission of traceability data, the HTTPS protocol is used to construct the client-server transmission encryption channel to ensure the integrity of the data. Finally those information security technologies about Logistics traceability data are used in a logistics traceability system of aquatic product, and the effectiveness of RC4-RSA hybrid encryption algorithm is verified. And the integrated applications enhance the system's information security.

关键词： Logistics traceability system of aquatic product data security data encryption technology RC4-RSA hybrid algorithm

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Research on discrete emotion classification of Chinese online product reviews based on OCC model 3

Research on discrete emotion classification of Chinese onlin...

引用

3rd IEEE international conference on data science in Cyberspace, DSC 2018

作者： Liu, Lina Qi, Jiayin School of Economics and Management Key Laboratory of Trustworthy Distributed Computing and Service School of Ethnic Minority Education Beijing University of Posts and Telecommunication Beijing China School of Management Shanghai University of International Business and Economics Shanghai China

ISBN: (纸本)9781538642108

There are many rich and multi-dimensional discrete emotional information in online reviews. The research of discrete emotion analysis in English online reviews is relatively early and has made some achievements, but the related research on Chinese online reviews, especially in consumption field is still in its infancy, which is the focus of this study. By taking the product reviews of a large Chinese e-commerce platform as the research object, and using the OCC model which is a kind of emotional cognition model as the basis of emotion classification, the study constructs six datasets annotated with six discrete emotions including satisfaction, disappointment, admiration, reproach, like and hate. CHI-based feature selection is performed for each review sample of the above six datasets and five traditional classifiers are used to classify the discrete emotions. The experimental result demonstrates the effectiveness of our proposed approach and shows that the classifier based on LR algorithm has the best classification effect for each discrete emotion. © 2018 IEEE.

关键词： Classification (of information)

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