Development of data mining application is very important for the telecommunication enterprise, which a typical data-intensive industry. Customer segmentation can help analyze customer composition accurately and promote quality service marketing. Using K-means clustering commercial automatic tool KXEN, paper proposes resolution Changzhou telecom in Jiangsu province. Results show that effective successful.

Clustering algorithm is very important for data mining. Fuzzy c-means clustering one of the earliest goal-function algorithms, which has achieved much attention. This paper analyzes lack fuzzy C-means (FCM) and genetic algorithm. Propose a hybrid based on immune single C-means. uses Immune Partheno-Genetic to guide number choice centers. And then utilize FCM make (IPGA-FCM). not only overcomes local optimal problem FCM, initial value inappropriate, but also contradictions between search...

Telecom industry is a typical data-intensive where data mining applications will enable good guidance on marketing strategies, and the cluster analysis can be used in customer segmentation. The paper makes detailed comprehensive of classic K-means clustering algorithm, proposes modeling process for telecom segmentation according to principle algorithm. A resolution Changzhou Jiangsu province proposed, practical results show that technology based method provides an effective successful...

The accurate judgement of fruit maturity is significant for modern agriculture. At present, few scholars have monitored and recognized based on the Internet things (IoT) image recognition technology. Therefore, this paper explores in context agricultural (IoT). Firstly, single shot multi-box detection (SSD) algorithm was improved positioning, used to determine size position fruits be recognized. Next, an fusion designed Laplacian pyramid, which effectively compresses large monitoring images...

For Printed Circuit Board (PCB) surface defect detection, traditional detection methods mostly focus on template matching-based reference method and manual detections, which have the disadvantages of low efficiency, large errors in identification localization, versatility methods. In order to further meet requirements high accuracy, real-time interactivity required by PCB industry actual production life. current work, we improve You-only-look-once (YOLOv4) train detect six types small target...

Petroleum is a critical industrial material. In the process of oilfield development, Fisher’s optimal segmentation method often used to solve problem division and combination layer series development. However, when encountering long samples, this has particularly obvious drawbacks due high storage requirements calculation process. Therefore, in practical work, binary generally instead. Although it avoids problems, prone falling into local optima. On basis analyzing shortcomings algorithms,...

This paper focuses on the detection and identification of defects end faces small motor bearings. Bearing significantly impact performance lifespan motors, traditional manual inspection methods suffer from low efficiency high miss rates. proposes use machine vision image processing techniques to enhance speed, efficiency, reliability detection. The study includes analysis common defect types bearing faces, selection industrial cameras lighting, as well preprocessing edge By improving YOLOv5...

Abstract The network connectivity in dynamic networks depends on a small number of highly mobile nodes. Identifying the influential nodes is one most engaging challenges for applications, such as data offloading or worm propagation control. Reachability an important metric to uncover node influence. Both TRGs (temporal reachability graphs) and CJEGs (critical journey evolving provide approaches calculate reachability. Nevertheless, these are only epidemic scenarios. In practice, due privacy...

It is the urgent demand for improvement of information services quality and inevitable development with transferring from Information Management to Knowledge Management. This article defines meaning educational knowledge management analyzes existing problems systems. Authors believe that we can achieve more effective, intelligent resource system through ontology database based on CELTS (Chinese E-Learning Technology Standards). Through literature research user surveys, also detailed modules...

The development of distance education put forward higher requirements for WEB courseware, it should update teaching content based on the degree students.This article proposes a resource sharing model courseware semantic web so as to solve problem in process.It takes Resource SCORM courses object framework and use XML describe each learning objects which makes teachers organize course create more easy well excellent resources can be shared greatest degree.System defines two agents, one is...

Maximum flow problem on hypergraphs (hyper-networks) is an extension of maximum normal graphs.In this paper, we consider a generalized fuzzy version in hyper-networks setting.Our algorithm class genetic algorithms and based tricks.The crisp equivalents chance constraints setting are defined, the execution steps encoding decoding presented.Finally, manifest implement procedure.

Selecting the Single Chip Microcomputer SPCE061A as control core, combining wireless communication technology, computer technology and other technologies, a new type of intelligent system for ordering management has been designed.The mainly includes terminal, data acquisition node total station management, management.In corresponding content selection dishes, soup drinks is completed through keyboard, selected contents are displayed by liquid crystal 12864, at same time, sent to transmission...

For issue that coal mining data tends to be incomplete, noisy and inconsistent, some popular classifiers are applied predict class label of dataset.Noise bad points rejected from which will exchanged input format suitable for mining.Then different used classify after extracting features.In the end, classification results analyzed knowledge assimilation is done.Experiment show decision tree model gives 88% accuracy correctly whereas neural network predicts 85% correct label.This research...

Rapid Propagation of malicious program has caused great harm to the security user information, traditional way killing methods, which is lagging behind and nonintelligent, been unable meet demand current detection.Studying new detection method on Windows Platform, screening out intelligent rules model feature executable extracting methods based data mining.Introducing sample processing selection process, analyzing simulating classification method, result shows that can effectively improve...

Appropriate technology needs to be applied in libraries provide users with more humanized, intelligent, and convenient services improve service quality. Using theories from library science, management, modeling, this paper examines personalized the intelligent Internet of Things (IoT) environment using a literature review, comparative analysis, UML modeling analyze influencing factors mobile users' acceptance recommendation services. Based on situational awareness framework, experimental...

The Performance Evaluation System of functional departments in colleges and universities displays the features like multi-index, multi-attribute, concrete together with fuzzification.To avoid defect developed by simple combination qualitative index quantitative Evaluation, use universal fuzzy evaluation to construct model performance management, quantifying index, result mathematic model, making objective, scientific specific.

At present, all the countries in world regard bringing up teachers' professional level as breakthrough of improving education quality. Educational technology ability is an important part This paper expatiates connotation and components educational ability, analyzes teaching reform ideas training normal students, explores strategies for students in-service teachers respectively according to their characteristics.