2014 10th International Conference on Natural Computation (ICNC)最新文献_第5页

Identifying minimally redundant wavenumbers for vibrational microspectroscopic image analysis 识别振动显微光谱图像分析的最小冗余波数

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975950

Qiaoyong Zhong, D. Niedieker, Dennis Petersen, K. Gerwert, A. Mosig

引用次数: 0

The application of Elman recurrent neural network model for forecasting consumer price index of education, recreation and sports in Yogyakarta Elman递归神经网络模型在日惹市教育、娱乐和体育消费物价指数预测中的应用

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975833

D. U. Wutsqa, R. Kusumawati, R. Subekti

{"title":"The application of Elman recurrent neural network model for forecasting consumer price index of education, recreation and sports in Yogyakarta","authors":"D. U. Wutsqa, R. Kusumawati, R. Subekti","doi":"10.1109/ICNC.2014.6975833","DOIUrl":"https://doi.org/10.1109/ICNC.2014.6975833","url":null,"abstract":"Recurrent neural network is a network which provides feedback connections. This network is believed to have a more powerful approach than the typical neural network for learning given data. The current research was aimed to apply the simplest recurrent neural network model, namely the Elman recurrent neural network (ERNN) model, to the consumer price index (CPI) of education, recreation, and sports data in Yogyakarta. The pattern of CPI data can be categorized as a function of time period, which tends to move upwards when the time period is increased, and jump at some points of the time period. This pattern was identified as similar to the pattern resulted by the function of the truncated polynomial spline regression model (TPSR). Hence, this research considered ERNN model which the inputs such as in the TPSR model were established by taking into account the location of the knot or jump points. In addition, the ERNN model with a single input, a time period was also generated. The results demonstrated that the two models have high accuracy both in training and testing data. More importantly, it was found that the first model is more appropriate than the second one in testing data.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123959","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: 12

An efficient coding scheme for surveillance videos based on high efficiency video coding 一种基于高效视频编码的高效监控视频编码方案

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975958

Jianfu Wang, Lanfang Dong

{"title":"An efficient coding scheme for surveillance videos based on high efficiency video coding","authors":"Jianfu Wang, Lanfang Dong","doi":"10.1109/ICNC.2014.6975958","DOIUrl":"https://doi.org/10.1109/ICNC.2014.6975958","url":null,"abstract":"As the latest coding standard, High Efficiency Video Coding (HEVC) has an obvious advantage in coding efficiency. Compared to H.264 Advanced Video Coding (H.264/AVC), HEVC can achieve about 50% bitrate reduction at the same subjective video quality. However, the enhancement in compression efficiency has been achieved at the cost of large increase in computational complexity. In this paper, to reduce the computational complexity, we propose a new coding scheme for surveillance videos using inter-frame difference to encode different image areas with different encoder options. The scheme is implemented through the proposed fast Coding Unit (CU) size decision algorithm. With using the luma component of difference image, the proposed algorithm can segment out moving objects from background, and then select proper CU size for different areas. Experimental results show that the encoding complexity can be reduced by an average of 45% with small increment in bitrate and negligible loss in Peak Signal to Noise Ratio (PSNR) compared to the High efficiency video coding test Model (HM) 9.2 reference software. Furthermore, the proposed scheme is not only applied to surveillance videos recorded by static cameras, but also applied to regular videos with excellent coding performance.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134189351","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

Synthesis of reversible logic circuit using a species conservation method 用种守恒法合成可逆逻辑电路

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975910

Xiaoxiao Wang, L. Jiao

引用次数: 4

Matching optimization of ship engine propeller and net for the trawler based on genetic algorithm 基于遗传算法的拖网渔船船舶发动机、螺旋桨与网的匹配优化

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975906

Li Ren, Y. Diao

引用次数: 1

Graph based K-nearest neighbor minutiae clustering for fingerprint recognition 基于图的k近邻聚类指纹识别

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975917

Vaishali S. Pawar, M. Zaveri

{"title":"Graph based K-nearest neighbor minutiae clustering for fingerprint recognition","authors":"Vaishali S. Pawar, M. Zaveri","doi":"10.1109/ICNC.2014.6975917","DOIUrl":"https://doi.org/10.1109/ICNC.2014.6975917","url":null,"abstract":"The graph is an efficient data structure to represent multi-dimensional data and their complex relations. Pattern matching and data mining are the two important fields of computer science. Pattern matching finds a particular pattern in the given input where as data mining deals with selecting specific data from the huge databases. This work contributes towards the combination of graph theory, pattern recognition and graph based databases. A variety of graph based techniques have been proposed as a powerful tool for pattern representation and classification in the past years. For a longer time graphs remained computationally expensive tool. But recently the graph based structural pattern recognition and image processing is becoming popular. The computational complexity of the graph based methods is becoming feasible due to high end new generations of the computers and the research advancements. In this work we have implemented graph based fingerprint recognition algorithm. The fingerprints are represented as attributed relational graphs. In the pattern recognition phase graph matching is applied. This study focuses on the clustering of graph databases prior to graph matching. When the structural feature set size of the data grows longer, graph matching becomes expensive. The clustering of graph databases drastically reduce the graph matching candidates.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114019869","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: 10

An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints 三维载荷约束下有能力车辆路径问题的局部演化搜索

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975835

Lijun Wei, Zhenzhen Zhang, A. Lim

{"title":"An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints","authors":"Lijun Wei, Zhenzhen Zhang, A. Lim","doi":"10.1109/ICNC.2014.6975835","DOIUrl":"https://doi.org/10.1109/ICNC.2014.6975835","url":null,"abstract":"This paper introduces and solves a new practical variant of integrated routing and loading problem called the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints (3L-FCVRP). This problem requires to design routes for a fleet of homogeneous vehicles located at the central depot to serve all customers, whose demand are formed by a set of three-dimensional, rectangular, weighted items. Different from the well-studied problem: capacitated vehicle routing problem with 3D loading constraints (3L-CVRP) in literature, the objective of 3L-FCVRP is to minimize the total fuel consumption instead of travel distance. The fuel consumption rate is assumed to be proportionate to the total weight of the vehicle. A route is feasible only if a feasible loading plan to load the demanded items into the vehicle exists and the loading plan must satisfy a set of practical constraints. To solve this problem, the evolutionary local search (ELS) framework incorporating with recombination method is employed to explore the solution space and an open space based heuristic is used to examine the feasibility of solutions. To verify the effectiveness of our approach, we first test ELS on the instances of 3L-CVRP, which can be seen as a special case of 3L-FCVRP. The results demonstrate that ELS outperforms all existing approaches on average and improves the best known solutions for most of the instances. Then, we generated data for 3L-FCVRP and reported the detailed results of ELS for future comparisons.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392162","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: 61

NORA circuit design using neuron-MOS transistors 采用神经元- mos晶体管的NORA电路设计

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975831

G. Hang, Xuanchang Zhou, Yang Yang, Danyan Zhang

引用次数: 0

Using WebSocket-based technology to build real-time meteorological wireless sensor network information publishing platform 利用基于websocket的技术构建实时气象无线传感器网络信息发布平台

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975834

Leiyue Yao, D. Xu, Weijian Zhang, Jie Zhou

{"title":"Using WebSocket-based technology to build real-time meteorological wireless sensor network information publishing platform","authors":"Leiyue Yao, D. Xu, Weijian Zhang, Jie Zhou","doi":"10.1109/ICNC.2014.6975834","DOIUrl":"https://doi.org/10.1109/ICNC.2014.6975834","url":null,"abstract":"According to the specific business requirements of the meteorological wireless sensor network (MWSN), we analyze and summarize the principles and problems of the existing Web real-time communication technology, and put forward the real-time meteorological information publishing platform (RT-MIPP) solution based on WebSocket. We first analyze and classify the observational data of MWSN, and design the meteorological information packet format. On this basis, the overall framework design of middleware server (MWServer) is established, the functions of each module are described in detail, and the specific design of MWServer software platform is given. At the same time, through the comparison of all kinds of real-time Web communication technology, the WebSocket significant advantages in low-latency and low network throughput is obtained, and the information Web publishing platform is designed. Actual operating results show that, using .NET and WebSocket technology, greatly improve the performance of system in realtime, versatility and flexibility, simplify the process of later modifications and maintenance, and achieve the expected effect of the authors.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123556571","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: 1

A fast genetic algorithm for solving the maximum clique problem 求解最大团问题的快速遗传算法

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975933

Suqi Zhang, Jing Wang, Qing Wu, Jin Zhan

引用次数: 6