TL;DR: Simulation results show that the algorithm can improve prediction model accuracy and generalization ability.
Abstract: A short-term load forecasting method that is based on genetic algorithm(GA) and least squares support vector machines(LS-SVM) is proposed.Because there are various factors impacting the accuracy of load forecasting and uncertain parameters to LS-SVM,the paper proposes to select features and parameters using genetic algorithm.Then,the LS-SVM model is build based on the selected features and parameters.Simulation results show that the algorithm can improve prediction model accuracy and generalization ability.
TL;DR: Based on the function requirement analysis and function design to the system, the key technologies is used, such as ASP.NET Microsoft SQL Server 2005 and Windows Server 2003, to achieve the user login, modify password, on-line test and other major modules.
Abstract: Internet and technology information field in the wide application of education,and the variety distance of teaching,make online exam system arises open.Based on the function requirement analysis and function design to the system,the key technologies is used,such as ASP.NET Microsoft SQL Server 2005 and Windows Server 2003,the user login,online examination,reading scores,question bank management and administrator module was designed,at the same time to achieve the user login,modify password,on-line test and other major modules.
TL;DR: A SIFT algorithm based on multiscale space is proposed that has high accuracy for the access of the feature points information on scale, orientation and size in different scale space and also has strong stability and robustness.
Abstract: The performance of image feature points extraction determinces the efficiency of image matchingThis paper proposes a SIFT algorithm based on multiscale spaceThe algorithm has better adaptility for image rotation,scaling zoom and brightness varirentThis paper analyses the basic model of SIFT and the access of key points on location,scale and direction parameter based on scale spaceExperiments show that the algorithm has high accuracy for the access of the feature points information on scale,orientation and size in different scale spaceIt also has strong stability and robustness
TL;DR: The recommendation model based on Ontology in cloud computing platform is constructed based on the classical electronic commerce recommendation system and brings the new chance to the personalized recommendation system.
Abstract: With the electronic commerce developing unexpectedly,the recommendation system encountered a number of difficulties,such as hard reboot,expensive of produce.Cloud computing is the new development of distributed database processing,the author started from the classical electronic commerce recommendation system,analyzed the recommendation system based on cloud computing.This paper constructed the recommendation model based on Ontology in cloud computing platform.The research in cloud computing brings the new chance to the personalized recommendation system.
TL;DR: The stochastic average selection law and the automatic judge algorithm of complex forms completion questions are proposed, and the paper also introduced the implementation process of online testing system.
Abstract: Online testing system is an important part of auxiliary teaching platform,the automatic test paper generation algorithm and automatic judge of computer examination system are both hot topics of research presently.On the basis of analyzing the existing test paper generation algorithm,the stochastic average selection law and the automatic judge algorithm of complex forms completion questions are proposed,and the paper also introduced the implementation process of online testing system.This system after the test,the movement is stable,user-friendly interface,each intellectual dots distributing reasonable,paper's difficulty meet requirements,the automatic judging results are accurate,and the system can be widely used in the self-test teaching process.
TL;DR: The experimental results show that the proposed face detection algorithms to detect better results, and is not sensitive to light.
Abstract: This paper presents a face detection algorithm,the algorithm uses a gradient image of 3 × 3 block partition and geometric human face model for face detection.3 × 3 block partition is used to and preliminary detect whether someone in the specific area of the face,followed by the use of geometric face model face detection.The experimental results show that the proposed face detection algorithms to detect better results,and is not sensitive to light.
TL;DR: Analysis of cloud computing security threats on the proposed deal with security risks of cloud Computing key technologies, and the last of the cloud computing environment ethnic and cultural knowledge services were discussed.
Abstract: With the popularity of cloud computing and the growing number of cloud computing products put into use,frequent outbreaks of security incidents are also present in people's eyes,more important security issues and has seriously hampered its development.Firstly,the concept of cloud computing and the development of an overview,analysis of cloud computing security threats on the proposed deal with security risks of cloud computing key technologies,the last of the cloud computing environment ethnic and cultural knowledge services were discussed.
TL;DR: This paper first analyzed the needs for the supermarket management system, then studied the architecture of system, and introduced the implementation of several modules.
Abstract: This paper first analyzed the needs for the supermarket management system,then studied the architecture of system.lastly,introduced the implementation of several modules.
TL;DR: The device tree is a hierarchical data structure used to describe the system hardware and the related parameters and can be seen as a hierarchical internal connection bus and their connecting device of the composition of the abstract.
Abstract: The device tree is a hierarchical data structure,is used to describe the system hardware and the related parameters,can be seen as a hierarchical internal connection bus and their connecting device of the composition of the abstract.Device tree consists of a set of device nodes,internal connection into a tree,each node is synthesized attributes,and private data.This article has carried on the analysis to the production equipment all levels of equipment tree structure
TL;DR: This paper points the increasing infrastructure construction and guide the users on the Internet for a solution on the basis of the combination of limited network bandwidth and influencing factors.
Abstract: As the Internet content is rich, especially the emergence of video website, brought the great challenges to the network bandwidth,when watching these network video,the bandwidth is very big,if the numbers of users are many watching at the same time, it would be the network bandwidth is limited by certain Based on the concept of network bandwidth and the influencing factors on the basis of the combination of limited network bandwidth,this paper points proposes the increasing infrastructure construction and guide the users on the Internet for a solution
TL;DR: This article uses Naive Bayesian in text categorization on the basis of the traditionalText categorization method to improve method of choice of text characteristic.
Abstract: Naive Bayesian is a method used in uncertainty inference.it is simple,but very strong applicability.This article uses Naive Bayesian in text categorization.On the basis of the traditional text categorization method,this paper improve method of choice of text characteristic.Through the experiment, satisfactory result is achieved.
TL;DR: This paper mainly analyses the design and realization of open network teaching platform based on Moodle Platform in order to provide technical support forVB program design.
Abstract: "VB program design"is a public selective course in higher vocational colleges which is very practicalIt requires students to master practical skills and be able to programme independently so as to better adapt to the needs of modern teaching and improve their comprehensive quality as wellThe open network teaching platform is very importantThis paper mainly analyses the design and realization of open network teaching platform based on Moodle Platform in order to provide technical support fo"rVB program design"
TL;DR: This paper studies the method and process of IDS intrusion detection model and the uncertainty data mining, and the data mining algorithms are analyzed.
Abstract: This paper studies the method and process of IDS intrusion detection model and the uncertainty data mining,data mining algorithms are analyzed
TL;DR: In this article, the authors analyze the architecture which established the system model by object-oriented approach through choosing view method and modeling language UML and the Wage management system is used as the modeling example, with the static and dynamic modeling Mechanisms and view model.
Abstract: In this paper,we analyze the architecture which establish the system model by object-oriented approach through choosing view method and modeling language UMLThe Wage management system is used as the modeling example,with the static and dynamic modeling Mechanisms and view model to introduce a new method or idea for the traditional modeling methods