2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)最新文献_第2页

Segmentation of Cardiac Chambers in 2D Echocardiographic Images by Using a New Atlas-Based Deformable Model 一种新的基于阿特拉斯的可变形模型在二维超声心动图图像中分割心室

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238753

M. Saadatmand, Elham Fathipour, Alireza Noei Sarcheshmeh

{"title":"Segmentation of Cardiac Chambers in 2D Echocardiographic Images by Using a New Atlas-Based Deformable Model","authors":"M. Saadatmand, Elham Fathipour, Alireza Noei Sarcheshmeh","doi":"10.1109/CFIS49607.2020.9238753","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238753","url":null,"abstract":"Cardiovascular diseases (CVDs) are considered as the main reason of mortality around the world. Echocardiography is the most common imaging modality for diagnosis or treatment follow-up of CVDs. However, because of speckle-noise corruption and low resolution, segmentation of heart chambers in echo-images is a challenging endeavor. We previously proposed a probabilistic atlas as a prior model for the heart chambers in echo-images. In this paper, we propose a new active contour for the segmentation of cardiac chambers by using that digital atlas. Our deformable model effectively combines the global and local (patch-based) region-based energy functionals. Also, to extract all the cardiac chambers, we determine four active contours in every echo-image (one contour for each chamber in the four-chamber view). For simultaneously evolving all the curves, a coupling term is also added to the energy functional. Finally, the evolution equation of each active contour is computed through the Euler-Lagrange equation. Experimental results demonstrate that our method provides accurate solutions compared to expert delineations.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481842","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

Fuzzy Multi-Company Assignment Problem Using Intelligent Water Drops Algorithms 基于智能水滴算法的模糊多公司分配问题

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238734

M. Esmaeili

引用次数: 1

Extracting User's Food Preferences by Sentiment Analysis 通过情感分析提取用户的食物偏好

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238725

Elham Asani, H. Vahdat-Nejad, Saeed Hosseinabadi, J. Sadri

引用次数: 10

A Hybrid PSO Fuzzy-MRAC Controller Based on EULERINT for Satellite Attitude Control 基于EULERINT的卫星姿态控制混合粒子群模糊- mrac控制器

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238698

M. Navabi, Shahram Hosseini

{"title":"A Hybrid PSO Fuzzy-MRAC Controller Based on EULERINT for Satellite Attitude Control","authors":"M. Navabi, Shahram Hosseini","doi":"10.1109/CFIS49607.2020.9238698","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238698","url":null,"abstract":"This paper presents a new hybrid optimal fuzzy controller which is based on the reference model modification of a model reference adaptive controller. The controller is applied to a satellite with uncertainty in the moment of inertia for attitude control in presence of disturbance torques. First, a Mamdani fuzzy logic is used to fuzzify the reference model, then the fuzzy logic membership functions are optimized by a Particle Swarm Optimization (PSO) algorithm. The uncertain parameters estimation of the model, along with the optimal fuzzy reference model provide a robust and inexpensive controller to cope with the uncertainties and disturbances during the satellite maneuver. The PSO method cost function is the integral of control effort plus the EULERINT criterion which the criterion represents the integral of Euler angle around the Euler axis. The cost function has a significant effect on the control effort reduction in addition to maneuver speed increment. This method reduces the EULERINT criterion which indicates a decrease in maneuver as a critical factor in controller design. The numerical simulation represents the better performance of the controller than the conventional MRAC or fuzzy controller.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126857418","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

A Novel Hybridization of Self-adaptive Multi-verse Optimizer over K-Means for Data Clustering 一种基于K-Means的自适应多元优化器杂交数据聚类

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238738

Hamed Tabrizchi, M. Shahabadi, M. Rafsanjani

{"title":"A Novel Hybridization of Self-adaptive Multi-verse Optimizer over K-Means for Data Clustering","authors":"Hamed Tabrizchi, M. Shahabadi, M. Rafsanjani","doi":"10.1109/CFIS49607.2020.9238738","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238738","url":null,"abstract":"Although clustering algorithms are a popular way to find the relationship among a collection of data, these algorithms have to deal with various types of challenges such as slow convergence rate, converging to local optima, and requiring the number of clusters in advance. In order to solve these drawbacks in one of the most famous clustering algorithms called K-Means, this paper has been presented a novel method based on nature-inspired algorithms in combination with clustering technique to construct a hybrid method for solving the clustering as an optimization problem in a reasonable time. Many nature-inspired algorithms have been successfully used to solve non-linear optimization problems. This paper proposed an algorithm which uses a recently introduced nature-inspired algorithm called Multi- Verse Optimizer (MVO) over K-Means to minimize the cluster integrity and maximize the distance between clusters by finding the optimal number of clusters (K) as well as initial centroid for clusters. The proposed method has been tested using ten datasets and compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), K-Means with random initial centroids, and K-Means++ to show the considerable improvement of clustering by using the proposed method. The results have shown that our new self-adaptive method outperforms other comparing nature-inspired algorithms both in cluster integrity and convergence rate.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124914616","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

GPS Continues Wave Jamming Canceller using an ANF Combined with an Artificial Neural Network 结合人工神经网络的GPS连续波干扰消除方法

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238700

M. Abbasi, M. Mosavi, Mohammad Javad Reazei

{"title":"GPS Continues Wave Jamming Canceller using an ANF Combined with an Artificial Neural Network","authors":"M. Abbasi, M. Mosavi, Mohammad Javad Reazei","doi":"10.1109/CFIS49607.2020.9238700","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238700","url":null,"abstract":"Global Positioning System (GPS) navigation usage has increased in many important areas in recent years. So having better accuracy and efficiency are of particular importance. The signal transmitted by satellites goes a long way to reach receivers on the ground which leads to decrease in signal power. This weak signal can be easily affected by the intentional noise signals (or socalled jamming) that produce on the surface of the earth with high power or even unintentional noises. Therefore, jamming suppuration is one of the most important discussed topics in this field. In this paper, in order to cancel the effect of jamming on the received GPS signal, an Infinite Impulse Response (IIR) Adaptive Notch Filter (ANF) is proposed. As an adaption method in order to calculate the filter coefficient, we use a particular Neural Network (NN). Because of the small size of the NN that we used, the train time is very fast in compare to such traditional methods that take a long time to find optimized coefficients. The anti-jamming performance is evaluated by calculating the Root Mean Square (RMS) of prediction error, and also Satellite View (SV) observation number. The proposed algorithm provides the desired SV observation number, even for more than four vehicles. It also provides a good range of RMS of prediction error.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131918432","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

Dear Participants and Organizers of 2020 Joint Congress on Computational Intelligence (CCI2020) 亲爱的2020年计算智能联合大会(CCI2020)的参与者和组织者

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/cfis49607.2020.9238761

引用次数: 0

L-ICPSnet: LiDAR Indoor Camera Positioning System for RGB to Point Cloud Translation using End2End Generative Network L-ICPSnet:基于端到端生成网络的RGB到点云转换激光雷达室内摄像机定位系统

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238706

A. Ghofrani, Rahil Mahdian, Seyed Mojtaba Tabatabaie, Seyed Maziyar Tabasi

引用次数: 1

Persian FrameNet: a Novel Approach to build FrameNet in the Persian Language Applicable to Islamic Context 波斯语框架:一种适用于伊斯兰语境的波斯语框架构建新方法

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238674

M. S. Baghini, Behrooz Janfada, B. M. Bidgoli

引用次数: 0

Statistical Analysis of Brain Volume Changes in T1-Weighted Magnetic Resonance Images of Attention Deficit hyperactivity Disorder (ADHD) Based on Voxel-Based Morphometry 基于体素形态学的注意缺陷多动障碍(ADHD) t1加权磁共振图像脑容量变化统计分析

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238675

Mozhdeh Haddadpour, F. Wallois, M. Saadatmand

{"title":"Statistical Analysis of Brain Volume Changes in T1-Weighted Magnetic Resonance Images of Attention Deficit hyperactivity Disorder (ADHD) Based on Voxel-Based Morphometry","authors":"Mozhdeh Haddadpour, F. Wallois, M. Saadatmand","doi":"10.1109/CFIS49607.2020.9238675","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238675","url":null,"abstract":"Attention Deficit hyperactivity disorder (ADHD), which is one of the most common abnormalities, usually appears at the early years of life. ADHD is usually observed with some structural changes at different regions of the brain cortex. Exploring those structural variations can have an important role in diagnosis and treatment of disease symptoms. In this paper, we propose a new framework for statistically exploring the main volume changes of the brain cortex in a group of 50 ADHD (combined-type) patients compared to controls. For this purpose, all the images are primarily registered with the ICBM152 template. Then, the gray-matter region of each image is segmented to obtain its corresponding probability map. To compute the local concentration/volume, the gray-matter probability map is smoothed by using a Gaussian filter with enough-large standard deviation. Next, through the hypothesis testing algorithm, the voxels with the significant volume change in all images of the ADHD group compared to controls are detected. Finally, the clusters with enough significant voxels are extracted as the regions with the significant volume changes due to ADHD. Finally, the exact position of every extracted cluster is obtained by using the parcellation atlas AAL2. Experimental results demonstrated significant volume increase in left medial frontal lobe, right cuneus, right rectus, right medial temporal gyrus, and left lingual gyrus. Also, there was significant volume decrease in right calcarine.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122168200","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: 1