{"title":"The application of grey forecasting model based on excel modeling and solving in logistics demand forecast","authors":"Jian-jun Zhou","doi":"10.1109/ICCWAMTIP.2013.6716667","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716667","url":null,"abstract":"Logistics demand forecast has an important role to resource optimization and enterprise competitiveness. Grey forecasting model has features such as low sample requirements, high forecast accuracy, it is suitable for forecasting the logistics demand. However, the complexity of the calculation process hindered its promotion and application. This paper briefly introduced the theory of gray model and the processing procedure of GM (1,1) model, then put forward to use the general software Excel to model and solve grey steps forecasting model, further made a detailed description on and methods combined with a case. The analysis of forecast results indicates that this solving method is accurate and efficient.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124210129","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}
{"title":"Image encryption algorithm based on chaos technology","authors":"Hui-Ben Zhang, Xiao-Feng Gu, Lei Guo, Hui Li","doi":"10.1109/ICCWAMTIP.2013.6716625","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716625","url":null,"abstract":"With the development of Internet, people transmit a large number of digital image every day on the Internet. At the same time, people also begin gradually focusing on the digital image data transmission security issues. First of all, this paper introduces some common image encryption algorithm. Secondly, focusing on the chaotic image encryption technology and focusing on the three-dimensional mapping of Lorenz maps. Finally, the process and results of Lorenz instance.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130163218","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}
{"title":"Relevant document retrieval via discrete stochastic optimization","authors":"Shu-Huai Ren","doi":"10.1109/ICCWAMTIP.2013.6716603","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716603","url":null,"abstract":"In this paper, a relevant document retrieval method is proposed for document retrieval systems with vector space models (VSM). In recent years, with the size of the database becomes extremely large, there becomes a high demanding of an accurate and fast-time document retrieval algorithm. Based on the maximum similarity criterion, a document retrieval algorithm using the discrete stochastic optimization method is proposed with the user query to retrieve the relevant documents. The proposed algorithm has the self-learning capability for most of the computational effort is spent at the global optimal document and converges fast to the relevant documents in the database. Numerical results demonstrate that the proposed algorithm has a good convergence property and satisfied document retrieval performance in the database.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999074","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}
{"title":"Image segmentation approach in multimodal information retrieval","authors":"Shaikh Riaz Ahmed, Jian-ping Li, MemonMuhammad Hammad, Khan Asif","doi":"10.1109/ICCWAMTIP.2013.6716624","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716624","url":null,"abstract":"In recent years, information retrieval has been one of the vast area of research that focuses not only on a single mode of retrieval system but on multimodal (i.e. text, image, audio and video) information retrieval systems that binds multimodalities into a single repository. Multimodal retrieval system provides the features to search/retrieve information that are available in multiple formats. Systems have not reached the initial goal, i.e. to manage and search images in database we are unable to link the semantic sense of an image to numerical values. To meet the requirement as preprocessing step segmentation is used in Content Based Image Retrieval. In this context, we proposed statistical segmentation approach in this paper. After segmentation the features are extracted for the segmented images, which are helpful in understanding the contents of the image and retrieved the information.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114265790","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}
{"title":"A fast image coding method based on dictionary","authors":"Li Fan","doi":"10.1109/ICCWAMTIP.2013.6716593","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716593","url":null,"abstract":"A fast image coding method based on dictionary is introduced firstly. This method gets more image information by fewer characters and can increase the coding efficiency. It improves the matching progress by the domination blocks which are generated with fixed dictionary. The advantage of this method is that different images can be generated with the same fixed dictionary set. The results of experiments show that this fast image coding method uses less time than other image coding methods under the requirement of high quality of decoding images.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115468755","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}
{"title":"A brief introduction of an improved A∗ search algorithm","authors":"Kuang Ping, Luo Shuai","doi":"10.1109/ICCWAMTIP.2013.6716619","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716619","url":null,"abstract":"This article is about A* search algorithm, which is a computer algorithm that is widely used in path-finding and graph traversal. The process of plotting an efficiently traversal path between points, called nodes. Noted for its performance and accuracy, it enjoys widespread use. In this paper, an analysis on the determination of the heuristic function and excute heuristic searching and realize the A* algorithm. At this point, we propose a more efficient method of heuristic function. Especially, A* algorithm is widely used in game development. Finally, we can prove that A* algorithm is effective and simple.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127307991","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}
{"title":"Tracking the moving sound target based on distributed microphone pairs","authors":"Tailiang Ju, H. Shao, Q. Peng","doi":"10.1109/ICCWAMTIP.2013.6716660","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716660","url":null,"abstract":"The algorithm of tracking and localizing a single rapid moving sound target, based on distributed microphone pairs, is presented in this paper. The time-delay-difference values of each microphone pair can be estimated by the methods of generalized cross-correlation. And then, the distance difference between target and the microphone pair can be calculated. When the target is in the far field of the microphone pair, the target's direction of arrival can be gain. However, the error of the angle is determined by the sample frequency, interval of microphone pair, and precision of time delay difference. Therefore, it is difficult to gain the acceptable position parameter of the target by the multi-angles of multi-microphone pairs. A search method is presented by multi-distance difference between target and the microphone pairs in this paper. Tens microphone pairs are placed in one area with 500*500 meters in the simulation. The target's trajectory is a haphazardly curved path, and its linear speed is about 20 meter per second. The coordinate error is less than 10 meters. The results of the simulation show the algorithm is effective and has high performance.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121622154","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}
{"title":"Affect analysis of FFT algorithm length on traffic self-similarity in NOC","authors":"Ming-Wei Qin, Jianhao Hu, Shang Ma","doi":"10.1109/ICCWAMTIP.2013.6716620","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716620","url":null,"abstract":"With network performance being highly dependent on the actual traffic, studies have shown that traffic is self-similar and long-range correlation in Network on Chip (NoC). The self-similarity of NoC traffic depends not only on the input sequence, but also changes with the processor algorithm on chip. In this paper, we improved firstly the existing method for generating sample traces of self-similar processes to suit Fast Fourier Transform (FFT) Algorithm. Then, Mainly studied the effects of FFT algorithm length for network traffic self-similarity in NoC by simulations. Experimental results show that the self-similarity of output sequence raised with the increasing of FFT length, and the output sequence is not self-similar when the length is long enough.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114888150","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}
{"title":"The construction of optimizing recognition model for video face","authors":"Senhua Wang, Xiangzhong Li, Zhang Li, Yan Shi","doi":"10.1109/ICCWAMTIP.2013.6716608","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716608","url":null,"abstract":"Video face recognition has become one of the most active research direction in the field of face recognition. In this paper, the influence of the illumination and the posture was analyzed and the corresponding solution was designed. Through the combined face recognition algorithm of global features and local features based on the wavelet analysis, as well as the Hidden Markov model using as the post-processing, the conception of optimizing recognition was set up for construction. The feasibility of the model was proved by the partial experiments, which provide the beneficial reference for intelligent monitoring technology.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115855150","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}
{"title":"Instant messaging system based on Jabber","authors":"X. Gu, Long Yan","doi":"10.1109/ICCWAMTIP.2013.6716634","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2013.6716634","url":null,"abstract":"Messaging of course has always been a core feature of the Internet. Jabber is a compelling IM solution that is well-suited to meet today's and tomorrow's IM needs. The Jabber system is technically simple, flexible, and surprisingly intuitive. Jabber's open standards are its primary political and business advantage, its use of XML as its standard data format is its crucial technical advantage. A Jabber server is developed and implemented in Java that complies with the Jabber protocols in this paper.","PeriodicalId":319274,"journal":{"name":"2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907883","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}