2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)最新文献_第10页

Rough membership measure in intuitionistic fuzzy information system 直觉模糊信息系统中的粗糙隶属度度量

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392942

Binbin Sang, Weihua Xu

引用次数: 1

Classify 3D voxel based point-cloud using convolutional neural network on a neural compute stick 在神经计算棒上使用卷积神经网络对三维体素点云进行分类

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393296

Xiaofang Xu, Joao Amaro, Sam Caulfield, G. Falcão, D. Moloney

{"title":"Classify 3D voxel based point-cloud using convolutional neural network on a neural compute stick","authors":"Xiaofang Xu, Joao Amaro, Sam Caulfield, G. Falcão, D. Moloney","doi":"10.1109/FSKD.2017.8393296","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393296","url":null,"abstract":"With the recent surge in popularity of Convolutional Neural Networks (CNNs), motivated by their significant performance in many classification and related tasks, a new challenge now needs to be addressed: how to accommodate CNNs in mobile devices, such as drones, smartphones, and similar low-power devices? In order to tackle this challenge we exploit the Vision Processing Unit (VPU) that combines dedicated CNN hardware blocks and very high power efficiency. The lack of readily available training data and memory requirements are two of the factors hindering the training and accuracy performance of 3D CNNs. In this paper, we propose a method for generating synthetic 3D point-clouds from realistic CAD scene models (based on the ModelNet10 dataset), in order to enrich the training process for volumetric CNNs. Furthermore, an efficient 3D volumetric object representation (VOLA) is employed. VOLA (Volumetric Accelerator) is a sexaquaternary (power-of-four subdivision) tree-based representation which allows for significant memory saving for volumetric data. Multiple CNN models were trained and the top performing model was ported to the Fathom Neural Compute Stick (NCS). Among the trained CNN models, the maximum test accuracy achieved is 91.3%. After deployment on the Fathom NCS, it takes 11ms (∼ 90 frames per second) to perform inference on each input volume, with a reported power requirement of 1.2W which leads to 75.75 inference per second per Watt.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123246836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Robust segmentation of brain MRI images using a novel fuzzy c-means clustering method 基于模糊c均值聚类方法的脑MRI图像鲁棒分割

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392927

Min Li, Zhikang Xiang, Limei Zhang, Z. Lian, Liang Xiao

引用次数: 0

A study on the impact of regulatory compliance awareness on security management performance and information technology capabilities 法规遵从意识对安全管理绩效和信息技术能力的影响研究

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393236

Yung Chang Wu, Linfeng, S. Wu

{"title":"A study on the impact of regulatory compliance awareness on security management performance and information technology capabilities","authors":"Yung Chang Wu, Linfeng, S. Wu","doi":"10.1109/FSKD.2017.8393236","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393236","url":null,"abstract":"Cloud computing and big data represent a profound change in the trend towards intensive, large-scale, and professional development of the IT area; however, while improving IT capabilities, such changes have brought great impact and challenges to user information asset security and privacy protection; for the large-amount of transfers of the banking industry's commercial activities in the international financial market, a reliable operating environment must be provided to ensure data security. This study explores and analyzes the challenges to technology, standards, supervision, etc. in the field of information security, brought by emerging information areas, such as cloud computing; referring to the cloud computing security framework and the main research content under the framework, it points out that the popularization and application of cloud computing and big data are the major challenges and development opportunities in the field of information security in recent years, which leads to another important technological change in the field of information security. This study adopts the method of empirical study, and collects data through questionnaires, in order to learn about the impact of the research subjects' compliance with information security awareness on the security governance performance and information technology capabilities of banks.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A novel keyphrase extraction method by combining FP-growth and LDA 一种结合FP-growth和LDA的关键词提取新方法

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393033

Hao Sun, Bing Li, Bo Han

引用次数: 0

An improved decision tree algorithm based on mutual information 基于互信息的改进决策树算法

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393008

Lietao Fang, Hong Jiang, Shuqi Cui

引用次数: 7

Language independent text summarization of western European languages using shape coding of text elements 基于文本元素形状编码的西欧语言非语言文本摘要

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393116

A. Saleh, L. Weigang

{"title":"Language independent text summarization of western European languages using shape coding of text elements","authors":"A. Saleh, L. Weigang","doi":"10.1109/FSKD.2017.8393116","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393116","url":null,"abstract":"The majority of text summarization techniques in literature depend, in one way or another, on language dependent pre-structured lexicons, databases, taggers and/or parsers. Such techniques require a prior knowledge of the language of the text being summarized. In this paper we propose an extractive text summarization tool, UnB Language Independent Text Summarizer (UnB-LITS), which is capable of performing text summarization in a language independent manner. The new model depends on intrinsic characteristics of the text being summarized rather than its language and thus eliminates the need for language dependent lexicons, databases, taggers or parsers. Within this tool, we develop an innovative way of coding the shapes of text elements (words, n-grams, sentences and paragraphs), in addition to proposing language independent algorithms that is capable of normalizing words and performing relative stemming or lemmatization. The proposed algorithms and Shape-Coding routine enable the UnB-LITS tool to extract intrinsic features of document elements and score them statistically to extract a representative extractive summary independent of the document language. In this paper we focused on single document summarization of western European languages. The tool was tested on hundreds of documents written in English, Portuguese, French and Spanish and showed better performance as compared with the results obtained in literature as well as from commercial summarizers.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126927909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Perceptual texture similarity learning using deep neural networks 基于深度神经网络的感知纹理相似性学习

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393387

Ying Gao, Yanhai Gan, Junyu Dong, Lin Qi, Huiyu Zhou

引用次数: 1

Fuzzy approach to fatigue problems in composite materials and structures 复合材料和结构疲劳问题的模糊方法

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392943

Fatigue Life Durability, Fatigue Behaviour

引用次数: 1

Int-fGrid: A type-2 fuzzy approach for scheduling tasks of computational grids Int-fGrid:计算网格任务调度的2型模糊方法

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392972

Bruno M. P. Moura, G. Schneider, A. Yamin, R. Reiser, M. Pilla

引用次数: 2