2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)最新文献_第7页

Design Optimization of Wound Rotor Induction Motor Using Genetic Algorithm 基于遗传算法的绕线转子感应电动机设计优化

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735061

M. Etemadi, Reza Haghighian

引用次数: 4

Challenges of Data Mining Classification Techniques in Mammograms 乳房x线照片中数据挖掘分类技术的挑战

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735093

Leyli Mahdikhani, M. Keyvanpour

{"title":"Challenges of Data Mining Classification Techniques in Mammograms","authors":"Leyli Mahdikhani, M. Keyvanpour","doi":"10.1109/KBEI.2019.8735093","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735093","url":null,"abstract":"Breast cancer is the growth of a malignant tumor in the breast. The incidence of this disease in women has increased significantly in recent years. Currently, early detection is an important factor in cancer treatment. The most effective method for early detection is mammography. The computer aided diagnosis (CAD) systems are essential to help searching for suspicious signs, or classifying lesions in benign or malignant types. In this paper, we want to discuss masses as one of the most important indicators of breast cancer. To classify and detect masses in mammograms, different data mining techniques have been used. On the other hand, the problem of classifying masses in mammogram images has placed many challenges for researchers. Before implementing a mass classification system, there is a need to be aware of the available problems and challenges in order to select the appropriate methods and classifiers. Hence, we first review the methods of mining and classifying masses in mammograms. Techniques that are commonly used can be categorized into four groups: Function based, probability based, similarity based and rule based techniques that are briefly discussed in this article. Then, we propose a categorization of existing challenges in the problem of mammographic mass classification. These challenges are divided into two parts: Data related and technique related challenges. Finally, the presented techniques are evaluated and analyzed according to the involved challenges.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116343124","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

Optimal Switching Algorithm for Different Topologies of 15-Level Inverter Using Genetic Algorithm 基于遗传算法的15电平逆变器不同拓扑的最优切换算法

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734966

A. A. K. Arani, A. Ghasemi, H. Karami, M. Akhbari, G. Gharehpetian

引用次数: 3

Tracking and Predictive Error-Based Adaptive Control of Aerial Vehicle in the Presence of Uncertainty 飞行器不确定性跟踪与预测误差自适应控制

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735070

M. Navabi, H. Ghanbari

引用次数: 2

Optimization of Sliding Mode Controller to control Three-Tank System Based on Lagrange Multipliers Optimization Algorithm 基于拉格朗日乘法器优化算法的三罐系统滑模控制器优化

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734935

M. Babaie, A. Ranjbar N.

引用次数: 4

Solving nonlinear optimization problem using new closed loop method for optimal path tracking 用新的闭环方法求解最优路径跟踪的非线性优化问题

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734913

F. Barat, M. Irani, M. Pahlevanzade

{"title":"Solving nonlinear optimization problem using new closed loop method for optimal path tracking","authors":"F. Barat, M. Irani, M. Pahlevanzade","doi":"10.1109/KBEI.2019.8734913","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734913","url":null,"abstract":"The purpose of this paper is to investigate the ability of the manipulator in point-to-point motion and determine its dynamic loading capacity using an optimal control method for controlling the new closed loop. The proposed method for designing an optimal nonlinear controller in a closed loop shape, in contrast to the usual methods based on indirect methods, is a combination of direct and indirect methods. The law of control is based on the solution of the nonlinear Hamilton-Jacobi-Bellman equation (HJB). For complex dynamics, this equation is solved using the Galerkin method and a nonlinear optimization algorithm. Another goal is to determine the dynamic loading capacity using this controller. The simulation results indicate the efficiency of the method in tracking the preset path from the manipulator, as well as determining the load capacity of the dynamic.Industrial robots are now widely used in various fields. So their production is increasing rapidly. Manipulator are a type of industrial robot that attracts the attention of many engineers of control and mechanics. Also, in this article, the 3Rrobot and 6R robot have been investigated.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127815045","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

Kinematic and Dynamic Analysis of 3-DOF Delta Parallel Robot Based on the Screw Theory and Principle of Virtual Work 基于螺旋理论和虚功原理的三自由度Delta并联机器人运动学与动力学分析

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734994

F. Azad, Mohammad Reza Hairi Yazdi, M. T. Masouleh

{"title":"Kinematic and Dynamic Analysis of 3-DOF Delta Parallel Robot Based on the Screw Theory and Principle of Virtual Work","authors":"F. Azad, Mohammad Reza Hairi Yazdi, M. T. Masouleh","doi":"10.1109/KBEI.2019.8734994","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734994","url":null,"abstract":"The linear form of dynamic equation of parallel robots can be used to implement a wide variety of nonlinear adaptive control schemes in real time. Also, in parallel manipulators, linearizing the complex dynamic equation of motion is time consuming as well as complicated, but it is highly rewarding, since it can contribute to the achievement of fast and precise dynamic performance capabilities of the foregoing manipulators. Therefore, in this paper, instead of finding the nonlinear form of the dynamic equation of delta parallel robot by means of virtual work method, a linear form of the dynamic equation is calculated. To this end, kinematic analysis has been performed by resorting to the screw theory, as it provides more compact formulation of Jacobian matrices and facilitates the employment of virtual work principle. After finding the Jacobian matrices of input-output, and the Jacobian matrices between each link and end-effector’s kinematics parameters, the full dynamic equation of motion of robot has been written. The twists comprising the equation has been determined separately and linear form of dynamic equation of robot has been computed. Afterwards, the SimMechanics model of 3-DOF. Delta parallel robot has been constructed and a simulation is performed in order to verify the validity of proposed equations of motion, and the corresponding error of computed torques of actuators comparing with Simscape’s direct results is given.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129429245","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: 4

A Small Dual Band MIMO Antenna for S-Band and WLAN Applications 用于s波段和WLAN应用的小型双频MIMO天线

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735031

M. Ghahremani, C. Ghobadi, J. Nourinia, B. Mohammadi

引用次数: 1

Saas Cloud Service Applications to Solve Data mining Problems 解决数据挖掘问题的Saas云服务应用

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734941

A. Mohseni, Mehrpooya Ahmadalinejad

引用次数: 0

Procedural Composition of Traditional Persian Music Using Deep Neural Networks 基于深度神经网络的传统波斯音乐程序作曲

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734959

Mansoure Ebrahimi, Babak Majidi, Mohmmad Eshghi

引用次数: 5