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Attention level quantification during a modified stroop color word experiment: An fNIRS based study

Attention level quantification during a modified stroop colo...

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Iranian Conference on Biomedical Engineering

作者： Sahar Jahani Nima Hemmati Berivanlou Ali Rahimpour Seyed Kamaledin Setarehdan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran

ISBN: (纸本)9781467393522

Attention is one of the brain's ability to focus on one particular issue among many others. Attention plays a critical role in those tasks that involve detection of rare events such as air traffic control where any attention lapses may cause a disaster. So, measurement and quantification of attention workload levels is critical and can be used to improve one's performance. In this article an effective algorithm for measurement of one's attention in three different levels by means of functional near-infrared spectroscopy is presented. Brain hemodynamic of 8 healthy subjects during a modified stroop color word task over the PFC region is measured using a 4-channel continuous wave functional near infrared spectroscopy (fNIRS) instrument. Since the hemodynamic response of mental activities is contaminated by psychological inferences, the first processing step is extraction of evoked hemodynamic response due to various attention levels. Then, an effective feature of hemodynamic response is extracted and analyzed by ANOVA test. The results of this study demonstrate the feasibility of fNIRS based attention level measurement that could provide valuable information of individuals' ability.

关键词： Attention Stroop effect FNIRS Hemodynamic response

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Generating an Efficient Hub Graph for Self-Reconfiguration Planning in Modular Robots

Generating an Efficient Hub Graph for Self-Reconfiguration P...

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RSI/ISM International Conference on Robotics and Mechatronics

作者： Parisa Parhami Hadi Moradi Masoud Asadpour Khalil Taheri Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467372350

The self-reconfiguration planning has been considered as a major problem in the field of modular robots. In this paper, we propose a human-inspired map-based rout planning approach that speeds up the reconfiguration planning. In this method, the analogous to a map is a reconfiguration hub-graph which contains the major nodes of the reconfiguration graph. We propose an RRT-based approach to select these hubs such that they efficiently cover the full configuration graph. In a search for a path between two nodes of the graph, a pre-calculated optimal routing from a hub to another hub may be used. This method has been simulated for two different modular robots and the results show that, the time spent to find a solution is independent of the solution length. Experiments show 5 to 8 fold speed up in search time, while founded solutions are near-optimal. Also it has been shown that the configuration graph is scale free therefore the idea of using hubs is extendable to larger number of modules.

关键词： reconfiguration planning modular robots human-inspired hub-graph

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Counterattack detection in broadcast soccer videos using camera motion estimation

Counterattack detection in broadcast soccer videos using cam...

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2015 International Symposium on Artificial Intelligence and Signal processing, AISP 2015

作者： Sigari, Mohamad-Hoseyn Soltanian-Zadeh, Hamid Kiani, Vahid Pourreza, Amid-Reza Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Machine Vision Research Laboratory Computer Engineering Department Faculty of Engineering Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9781479988174

This paper presents a new method for counterattack detection using estimated camera motion and evaluates some classification methods to detect this event. To this end, video is partitioned to shots and view type of each shot is recognized first. Then, relative pan of the camera during far-view and medium-view shots is estimated. After weighting of pan value of each frame according to the type of shots, the video is partitioned to motion segments. Then, motion segments are refined to achieve better results. Finally, the features extracted from consecutive motion segments are investigated for counterattack detection. We propose two methods for counterattack detection: (1) rule-based (heuristic rules) and (2) SVM-based. Experiments show that the SVM classifier with linear or RBF kernel results in the best results. © 2015 IEEE.

关键词： Motion estimation

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Application of DTI connectivity in lateralization of mTLE

Application of DTI connectivity in lateralization of mTLE

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Mohammad R. Nazem-Zadeh Susan M. Bowyer John E. Moran Esmaeil Davoodi-Bojd Andrew Zillgitt Hassan Bagher-Ebadian Fariborz Mahmoudi Kost V. Elisevich Hamid Soltanian-Zadeh Departments of Research Administration and Radiology Henry Ford Health System Detroit MI USA Departments of Neurology Radiology Radiation Oncology and Research Administration Henry Ford Health System Detroit MI USA Department of Clinical Neurosciences Spectrum Health Medical Group Grand Rapids MI USA Control and Intelligent Processing Center of Excellence (CIPCE) University of Tehran Tehran Iran

ISBN: (纸本)9781457702198

Diffusion tensor imaging (DTI) is a noninvasive imaging method for measuring the diffusion properties of the underlying white matter tracts through which epileptiform activity is propagated. This study investigates the structural abnormalities quantified by DTI in mesial temporal lobe epilepsy (mTLE). Fiber tracts passing through 54 anatomical sites in 12 adult mTLE patients and 12 age- and gender-matched controls were identified using DTI tractography. DTI nodal degree (ND) and laterality index were then calculated. ND laterality, after Bonferroni adjustment, showed significant differences for right versus left mTLE in gyrus rectus, insular cortex, precuneus and superior temporal gyrus (p

关键词： Diffusion tensor imaging Epilepsy Brain modeling Surgery Analysis of variance

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Adaptive compensation technique for nonlinear dynamic and static models of friction

Adaptive compensation technique for nonlinear dynamic and st...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Morteza Nazari Monfared Mohammad Javad Yazdanpanah Faculty of Electrical Islamic Azad University Qazvin Iran Control & Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Friction is a nonlinear phenomenon which appears in mechanical devices with moving parts and has malicious effects on behavior of systems and sometimes leads to fail designed controllers to perform appropriately. Therefore, friction compensation is a vital process in these systems. An adaptive approach is presented in this paper to compensate friction effects. It works for nonlinear static and dynamic models of friction such as Classic, Exponential, and LuGre. This technique is described and tested on simple inverted pendulum on a cart where friction is considered between cart and ground. However, suggested technique is applicable on any mechanical system. Finally, high performance and effectiveness of the proposed approach is shown by simulations.

关键词： Decision support systems Electrical engineering Conferences

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Toward Aerial Simultaneous Target Localization and Obstacle Estimation using RSSI observations

Toward Aerial Simultaneous Target Localization and Obstacle ...

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RSI/ISM International Conference on Robotics and Mechatronics

作者： S.M. Mehdi Dehghan Saeid Haidari Hadi Mordi Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Malek Ashtar University of Technology Aerospace Research Complexity Tehran Iran Advaced Robotic and Intelligent System Lab School of ECE University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran Intelligent Systems Research Institute SKKU South Korea

ISBN: (纸本)9781467372350

This paper represents simultaneous estimation of an RF source location and the location and height of an obstacle between the RF source and a UAV using RSSI observations. The aim is to improve the localization of the RF source by estimating the location and height of the obstacle. The effect of the obstacle on signal strength attenuation, i.e. the diffraction loss, is the most important reason that affects the performance of distance estimation based on general or empirical path loss model. Consequently, by estimating the effect of obstacle on attenuation, it will be possible to improve the accuracy of distance estimation according to path loss models. The simultaneous estimation of radio source location and the specification of an existing obstacle are implemented using particle filter, due to the complexity and nonlinear nature of the equations related to the calculation of diffraction loss. The simulation results show an improved performance of suggested filter, compared to the basic case of not estimating the obstacle.

关键词： UA V RF source localization NLOS obstacle mapping signal diffraction

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MIMO sliding mode and backstepping control for a quadrotor UAV

MIMO sliding mode and backstepping control for a quadrotor U...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Seyedehmarzieh Hosseini Dolatabadi Mohammad Javad Yazdanpanah Faculty of Electrical Biomedical and Mechatronic Engineering Islamic Azad University Qazvin Iran Control & Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781479919734

In this paper, tow nonlinear control approaches are proposed to solve the trajectory tracking problem for a quadrotor UAV in presence of external disturbances and model uncertainties. The first one is a sliding mode control which deals with the whole MIMO system despite most of the other approaches that divide the system into multiple subsystems. This method calculates four control laws which realize trajectory tracking of attitude and altitude of quadrotor. The second approach is a block-backstepping method that is designed for MIMO system. As the last part of this paper, position control of quadrotor based on the nonlinear dynamic model is designed using feedback linearization approach, which its combination with proposed sliding mode control or backstepping control gives full control of quadrotor. These control approaches are compared in different simulations and show good performance in tracking a desired path in Cartesian coordinate. They are also capable to deal with model uncertainties and external disturbances.

关键词： Decision support systems Electrical engineering Conferences

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Optimized Kalman Filter Based on Second Momentum and Triple Rectangular for Cell Tracking on Sequential Microscopic Images

Optimized Kalman Filter Based on Second Momentum and Triple ...

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Iranian Conference on Biomedical Engineering

作者： Vahid Khodadadi Emad Fatemizadeh S. Kamaledin Setarehdan Department of biomedical Engineering Science and Research Branch Islamic Azad University Electrical engineering department Sharif University of Technology Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467393522

Cell dynamics and motion stages are very important issues in the biological cell investigation. in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a chosen cell and we continue this process till all cells are track. OKF (optimized Kalman filter) algorithm uses second momentum for detecting cells because;value of second momentum doesn't change with rotating cells or changing size. OKF method removes cell after tracking in every frame. So, tracking has an acceptable and excellent precision for tracking in another cell. Also, the algorithm finds cells between frames by changing the reference frame and removing were tracked cells. Performance results of OKF show the proposed method is very admissible, effective method and the work shows great assistance for the cell Cytoplasm tracking. Finally, cells tracking with 98.17% accuracy were achieved by using OKF algorithm.

关键词： Kalman filter Second Momentum Cell Tracking Triple Rectangular OKF Method

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Overlapped Cells Separation Algorithm Based on Morphological System Using Distance Minimums in Microscopic Images

Overlapped Cells Separation Algorithm Based on Morphological...

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Iranian Conference on Biomedical Engineering

ISBN: (纸本)9781467393522

It is important to distinguish overlapped cell for tracking and segmentation biological cells from images. In this research, a novel or comprehensive method is provided with morphological features of cell and minimum distance for overlapped cells separation (OCS). it's necessary to say that this algorithm is not based on type and number of Overlapped cells. In this presented method based on a distance chart. At first, every cell or rectangle of cell is separated of the original image. Also, multiplex cell is distinguished by using minimum perimeter polygon (MPP) method. Distance chart is achieved on the base of morphological procedure and Computing of cell boundary distance to Cell middle axis in different epochs. By achieving the absolute minimum distance chart, candidate cutting points is detected and separated. Experimental results show the offered method is very effective and the work shows great assistance for the cell Cytoplasm segmentation. At the end, recognition accuracy and 97.4% separation for cells is achieved by this method.

关键词： Overlapped cells Extremum Perpendicular lines Skeleton Concavity areas

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Trajectory Tracking of a Class of Port Hamiltonian Systems Using Timed IDA-PBC Technique

Trajectory Tracking of a Class of Port Hamiltonian Systems U...

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IEEE Annual Conference on Decision and control

作者： Abolfazl Yaghmaei Mohammad Javad Yazdanpanah School of Electrical and Computer Engineering University of Tehran Tehran I. R. Iran Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran I. R. Iran

ISBN: (纸本)9781479978878

In the line of presenting a tracker design in port-Hamiltonian systems, a timed version of Interconnection and Damping Assignment Passivity Based control (IDA-PBC) technique, hereafter called Timed IDA-PBC, is introduced. One of the advantages of the proposed method is its ability to utilize the stabilization results for the purpose of tracking. For many systems, when the stabilization problem is solved via the common IDA-PBC method, using some simple modifications on the closed-loop Hamiltonian function, the tracking problem can also be solved through the Timed IDA-PBC technique.

关键词： trajectory tracking Hamiltonian tracking problem

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