智能学习系统与应用(英文)最新文献_第7页

Dominant Meaning Method for Intelligent Topic-Based Information Agent towards More Flexible MOOCs 面向更灵活mooc的基于主题的智能信息代理主导意义方法

智能学习系统与应用(英文) Pub Date : 2014-10-15 DOI: 10.4236/JILSA.2014.64015

M. A. Razek

{"title":"Dominant Meaning Method for Intelligent Topic-Based Information Agent towards More Flexible MOOCs","authors":"M. A. Razek","doi":"10.4236/JILSA.2014.64015","DOIUrl":"https://doi.org/10.4236/JILSA.2014.64015","url":null,"abstract":"The use of agent technology in a dynamic environment is rapidly growing as one of the powerful technologies and the need to provide the benefits of the Intelligent Information Agent technique to massive open online courses, is very important from various aspects including the rapid growing of MOOCs environments, and the focusing more on static information than on updated information. One of the main problems in such environment is updating the information to the needs of the student who interacts at each moment. Using such technology can ensure more flexible information, lower waste time and hence higher earnings in learning. This paper presents Intelligent Topic-Based Information Agent to offer an updated knowledge including various types of resource for students. Using dominant meaning method, the agent searches the Internet, controls the metadata coming from the Internet, filters and shows them into a categorized content lists. There are two experiments conducted on the Intelligent Topic-Based Information Agent: one measures the improvement in the retrieval effectiveness and the other measures the impact of the agent on the learning. The experiment results indicate that our methodology to expand the query yields a considerable improvement in the retrieval effectiveness in all categories of Google Web Search API. On the other hand, there is a positive impact on the performance of learning session.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330170","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: 0

Image-Based Methods for Interaction with Head-Worn Worker-Assistance Systems 与头戴式工人辅助系统交互的基于图像的方法

智能学习系统与应用(英文) Pub Date : 2014-08-11 DOI: 10.4236/JILSA.2014.63011

Frerk Saxen, Omer Rashid, A. Al-Hamadi, S. Adler, A. Kernchen, R. Mecke

{"title":"Image-Based Methods for Interaction with Head-Worn Worker-Assistance Systems","authors":"Frerk Saxen, Omer Rashid, A. Al-Hamadi, S. Adler, A. Kernchen, R. Mecke","doi":"10.4236/JILSA.2014.63011","DOIUrl":"https://doi.org/10.4236/JILSA.2014.63011","url":null,"abstract":"In this paper, a \u0000mobile assistance-system is described which supports users in performing manual \u0000working tasks in the context of assembling complex products. The assistance \u0000system contains a head-worn display for the visualization of information \u0000relevant for the workflow as well as a video camera to acquire the scene. This \u0000paper is focused on the interaction of the user with this system and describes \u0000work in progress and initial results from an industrial application scenario. \u0000We present image-based methods for robust recognition of static and dynamic \u0000hand gestures in realtime. These methods are used for an intuitive \u0000interaction with the assistance-system. The segmentation of the hand based on \u0000color information builds the basis of feature extraction for static and dynamic \u0000gestures. For the static gestures, the activation of particular sensitive \u0000regions in the camera image by the user’s hand is used for interaction. An HMM \u0000classifier is used to extract dynamic gestures depending on motion parameters \u0000determined based on the optical flow in the camera image.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330037","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

Simulation Model Using Meta Heuristic Algorithms for Achieving Optimal Arrangement of Storage Bins in a Sawmill Yard 基于元启发式算法的锯木厂仓仓优化布置仿真模型

智能学习系统与应用(英文) Pub Date : 2014-05-02 DOI: 10.4236/JILSA.2014.62010

Asif Rahman, Siril Yella, M. Dougherty

{"title":"Simulation Model Using Meta Heuristic Algorithms for Achieving Optimal Arrangement of Storage Bins in a Sawmill Yard","authors":"Asif Rahman, Siril Yella, M. Dougherty","doi":"10.4236/JILSA.2014.62010","DOIUrl":"https://doi.org/10.4236/JILSA.2014.62010","url":null,"abstract":"Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the storage bins may lead to inefficient transportation of resources, which threaten the overall efficiency and thereby limit the profit margins of sawmills. To address this challenge, a simulation model has been developed. However, as numerous alternatives are available for arranging bins, simulating all possibilities will take an enormous amount of time and it is computationally infeasible. A discrete-event simulation model incorporating meta-heuristic algorithms has therefore been investigated in this study. Preliminary investigations indicate that the results achieved by GA based simulation model are promising and better than the other meta-heuristic algorithm. Further, a sensitivity analysis has been done on the GA based optimal arrangement which contributes to gaining insights and knowledge about the real system that ultimately leads to improved and enhanced efficiency in sawmill yards. It is expected that the results achieved in the work will support timber industries in making optimal decisions with respect to arrangement of storage bins in a sawmill yard.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330428","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: 5

Structural Analysis and Static Simulation of Coastal Planktonic Networks 沿海浮游网络的结构分析与静态模拟

智能学习系统与应用(英文) Pub Date : 2014-05-02 DOI: 10.4236/JILSA.2014.62009

G. C. Pereira, L. P. Andrade, R. P. Espíndola, N. Ebecken

引用次数: 6

A Comparison of Neural Classifiers for Graffiti Recognition 用于涂鸦识别的神经分类器的比较

智能学习系统与应用(英文) Pub Date : 2014-05-02 DOI: 10.4236/JILSA.2014.62008

A. H. Al-Fatlawi, S. Ling, H. Lam

{"title":"A Comparison of Neural Classifiers for Graffiti Recognition","authors":"A. H. Al-Fatlawi, S. Ling, H. Lam","doi":"10.4236/JILSA.2014.62008","DOIUrl":"https://doi.org/10.4236/JILSA.2014.62008","url":null,"abstract":"Technological \u0000advances and the enormous flood of papers have motivated many researchers and \u0000companies to innovate new technologies. In particular, handwriting recognition \u0000is a very useful technology to support applications like electronic books \u0000(eBooks), post code readers (that sort mails in post offices), and some bank \u0000applications. This paper proposes three systems to discriminate handwritten \u0000graffiti digits (0 to 9) and some commands with different architectures and \u0000abilities. It introduces three classifiers, namely single neural network (SNN) \u0000classifier, parallel neural networks (PNN) classifier and tree-structured \u0000neural network (TSNN) classifier. The three classifiers have been designed \u0000through adopting feed forward neural networks. In order to optimize the network \u0000parameters (connection weights), the back-propagation algorithm has been used. \u0000Several architectures are applied and examined to present a comparative study \u0000about these three systems from different perspectives. The research focuses on \u0000examining their accuracy, flexibility and scalability. The paper presents an \u0000analytical study about the impacts of three factors on the accuracy of the \u0000systems and behavior of the neural networks in terms of the number of the \u0000hidden neurons, the model of the activation functions and the learning rate. \u0000Therefore, future directions have been considered significantly in this paper \u0000through designing particularly flexible systems that allow adding many more \u0000classes in the future without retraining the current neural networks.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330340","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: 7

Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms 基于遗传算法的麻醉1型和区间2型模糊PID控制设计

智能学习系统与应用(英文) Pub Date : 2014-05-02 DOI: 10.4236/JILSA.2014.62007

Hugo Araujo, Bo Xiao, Chuang Liu, Yanbin Zhao, H. Lam

{"title":"Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms","authors":"Hugo Araujo, Bo Xiao, Chuang Liu, Yanbin Zhao, H. Lam","doi":"10.4236/JILSA.2014.62007","DOIUrl":"https://doi.org/10.4236/JILSA.2014.62007","url":null,"abstract":"This paper presents the automatic drug administration for the regulation of bispectral (BIS) index in the anesthesia process during the clinical surgery by controlling the concentration target of two drugs, namely, propofol and remifentanil. To realize the automatic drug administration, real clinical data are collected for 42 patients for the construction of patients’ models consisting of pharmacokinetic and pharmacodynamic models describing the dynamics reacting to the input drugs. A nominal anesthesia model is obtained by taking the average of 42 patients’ models for the design of control scheme. Three PID controllers are employed, namely linear PID controller, type-1 (T1) fuzzy PID controller and interval type-2 (IT2) fuzzy PID controller, to regulate the BIS index using the nominal patient’s model. The PID gains and membership functions are obtained using genetic algorithm (GA) by minimizing a cost function measuring the control performance. The best trained PID controllers are tested under different scenarios and compared in terms of control performance. Simulation results show that the IT2 fuzzy PID controller offers the best control strategy regulating the BIS index while the T1 fuzzy PID controller comes the second.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330143","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: 18

Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion 网格界面海浪能量转换的自适应模糊滑模控制器

智能学习系统与应用(英文) Pub Date : 2014-05-02 DOI: 10.4236/JILSA.2014.62006

Adel Elgammal

{"title":"Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion","authors":"Adel Elgammal","doi":"10.4236/JILSA.2014.62006","DOIUrl":"https://doi.org/10.4236/JILSA.2014.62006","url":null,"abstract":"This paper presents \u0000a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding \u0000Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) \u0000driven Self-Excited Induction Generator (SEIG). The aim of the developed \u0000control method is to automatically \u0000tune and optimize the scaling factors and the membership functions of the Fuzzy \u0000Logic Controllers (FLC) using Multi-Objective Genetic Algorithms (MOGA) and \u0000Multi-Objective Particle Swarm Optimization (MOPSO). Two Pulse Width Modulated \u0000voltage source PWM converters with a carrier-based Sinusoidal PWM modulation \u0000for both Generator- and Grid-side converters have been connected back to back between \u0000the generator terminals and utility grid via common DC link. The indirect vector control scheme is \u0000implemented to maintain balance between generated power and power supplied to \u0000the grid and maintain the terminal \u0000voltage of the generator and the DC bus voltage constant for variable rotor \u0000speed and load. Simulation study has \u0000been carried out using the MATLAB/Simulink environment to verify the \u0000robustness of the power electronics converters and the effectiveness of \u0000proposed control method under steady state and transient conditions and also \u0000machine parameters mismatches. The \u0000proposed control scheme has improved the voltage regulation and the \u0000transient performance of the wave energy scheme over a wide range of operating \u0000conditions.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330093","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: 5

Support Vector Machine and Random Forest Modeling for Intrusion Detection System (IDS) 入侵检测系统的支持向量机和随机森林建模

智能学习系统与应用(英文) Pub Date : 2014-01-27 DOI: 10.4236/JILSA.2014.61005

Md. Al Mehedi Hasan, M. Nasser, B. Pal, Shamim Ahmad

{"title":"Support Vector Machine and Random Forest Modeling for Intrusion Detection System (IDS)","authors":"Md. Al Mehedi Hasan, M. Nasser, B. Pal, Shamim Ahmad","doi":"10.4236/JILSA.2014.61005","DOIUrl":"https://doi.org/10.4236/JILSA.2014.61005","url":null,"abstract":"The success of \u0000any Intrusion Detection System (IDS) is a complicated problem due to its \u0000nonlinearity and the quantitative or qualitative network traffic data stream \u0000with many features. To get rid of this problem, several types of intrusion \u0000detection methods have been proposed and shown different levels of accuracy. \u0000This is why the choice of the effective and robust method for IDS is very \u0000important topic in information security. In this work, we have built two models \u0000for the classification purpose. One is based on Support Vector Machines (SVM) \u0000and the other is Random Forests (RF). Experimental results show that either \u0000classifier is effective. SVM is slightly more accurate, but more expensive in \u0000terms of time. RF produces similar accuracy in a much faster manner if given \u0000modeling parameters. These classifiers can contribute to an IDS system as one \u0000source of analysis and increase its accuracy. In this paper, KDD’99 Dataset is used and find out which \u0000one is the best intrusion \u0000detector for this dataset. Statistical \u0000analysis on KDD’99 dataset found important issues which highly affect the \u0000performance of evaluated systems and results in a very poor evaluation of \u0000anomaly detection approaches. The most important deficiency in the KDD’99 dataset \u0000is the huge number of redundant records. To solve these \u0000issues, we have developed a new dataset, KDD99Train+ and KDD99Test+, which does \u0000not include any redundant records in the train set as well as in the test set, \u0000so the classifiers will not be biased towards more frequent records. The \u0000numbers of records in the train and test sets are now reasonable, which make it \u0000affordable to run the experiments on the complete set without the need to \u0000randomly select a small portion. The findings of this paper will be very useful \u0000to use SVM and RF in a more \u0000meaningful way in order to maximize the performance rate and minimize the false \u0000negative rate.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330057","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: 134

Fuzzy-Weighted Similarity Measures for Memory-Based Collaborative Recommender Systems 基于记忆的协同推荐系统的模糊加权相似度度量

智能学习系统与应用(英文) Pub Date : 2014-01-27 DOI: 10.4236/JILSA.2014.61001

Mohammad Yahya H. Al-Shamri, N. Al-Ashwal

{"title":"Fuzzy-Weighted Similarity Measures for Memory-Based Collaborative Recommender Systems","authors":"Mohammad Yahya H. Al-Shamri, N. Al-Ashwal","doi":"10.4236/JILSA.2014.61001","DOIUrl":"https://doi.org/10.4236/JILSA.2014.61001","url":null,"abstract":"Memory-based collaborative \u0000recommender system (CRS) computes the similarity between users based on their \u0000declared ratings. However, not all ratings are of the same importance to the \u0000user. The set of ratings each user weights highly differs from user to user \u0000according to his mood and taste. This is usually reflected in the user’s rating \u0000scale. Accordingly, many efforts have been done to introduce weights to the \u0000similarity measures of CRSs. This paper proposes fuzzy weightings for the most \u0000common similarity measures for memory-based CRSs. Fuzzy weighting can be \u0000considered as a learning mechanism for capturing the preferences of users for \u0000ratings. Comparing with genetic algorithm learning, fuzzy weighting is fast, \u0000effective and does not require any more space. Moreover, fuzzy weightings based \u0000on the rating deviations from the user’s mean of ratings take into account the \u0000different rating scales of different users. The experimental results \u0000show that fuzzy weightings obviously improve the CRSs performance to a good \u0000extent.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4236/JILSA.2014.61001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330005","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: 23

Simulation and Optimization Techniques for Sawmill Yard Operations-A Literature Review 锯木厂堆场作业的模拟与优化技术——文献综述

智能学习系统与应用(英文) Pub Date : 2014-01-27 DOI: 10.4236/JILSA.2014.61003

Asif Rahman, Siril Yella, M. Dougherty

{"title":"Simulation and Optimization Techniques for Sawmill Yard Operations-A Literature Review","authors":"Asif Rahman, Siril Yella, M. Dougherty","doi":"10.4236/JILSA.2014.61003","DOIUrl":"https://doi.org/10.4236/JILSA.2014.61003","url":null,"abstract":"Increasing costs and competitive business strategies are pushing sawmill enterprises to make an effort for optimization of their process management. Organizational decisions mainly concentrate on performance and reduction of operational costs in order to maintain profit margins. Although many efforts have been made, effective utilization of resources, optimal planning and maximum productivity in sawmill are still challenging to sawmill industries. Many researchers proposed the simulation models in combination with optimization techniques to address problems of integrated logistics optimization. The combination of simulation and optimization technique identifies the optimal strategy by simulating all complex behaviours of the system under consideration including objectives and constraints. During the past decade, an enormous number of studies were conducted to simulate operational inefficiencies in order to find optimal solutions. This paper gives a review on recent developments and challenges associated with simulation and optimization techniques. It was believed that the review would provide a perfect ground to the authors in pursuing further work in optimizing sawmill yard operations.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70330050","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: 11