Search results for: Alireza Taheri

Items from 1 to 13 out of 13 results

article

Ultrasonic-assisted micro solid phase extraction of arsenic on a new ion-imprinted polymer synthesized from chitosan-stabilized pickering emulsion in water, rice and vegetable samples

Rahil Jalilian, Mahtab Shahmari, Alireza Taheri, Kamyar Gholami

Ultrasonics Sonochemistry > 2020 > 61 > C

Pickering emulsion polymerization has been employed for the Ultrasonic assisted-micro solid phase extraction (UA-µSPE) of ultra trace arsenic species by a new magnetic ion imprinted polymer (MIIP) prior to hydride generation atomic absorption spectrometry. 2-acetyl benzofuran thiosemicarbazone (2-ABT) as a new chelating agent and core- shell hydrophobic magnetic nanoparticles was synthesized and the...

article

Human–Robot Facial Expression Reciprocal Interaction Platform: Case Studies on Children with Autism

Ali Ghorbandaei Pour, Alireza Taheri, Minoo Alemi, Ali Meghdari

International Journal of Social Robotics > 2018 > 10 > 2 > 179-198

Reciprocal interaction and facial expression are some of the most interesting topics in the fields of social and cognitive robotics. On the other hand, children with autism show a particular interest toward robots, and facial expression recognition can improve these children’s social interaction abilities in real life. In this research, a robotic platform has been developed for reciprocal interaction...

article

Human–Robot Interaction in Autism Treatment: A Case Study on Three Pairs of Autistic Children as Twins, Siblings, and Classmates

Alireza Taheri, Ali Meghdari, Minoo Alemi, Hamidreza Pouretemad

International Journal of Social Robotics > 2018 > 10 > 1 > 93-113

In this paper, three pairs of children with autism include a pair of twins, two siblings, and two classmates were enrolled in a 12-session robot-assisted group-games program. As many environmental factors were for the most part the same for the siblings as well as genetic factors for the twins, we were able to observe/compare the effect of the designed games on the participants individually and in...

article

Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks

Alireza Taheri-Rad, Mehdi Khojastehpour, Abbas Rohani, Surur Khoramdel, more

Energy > 2017 > 135 > C > 405-412

The aim of this study was to model the energy flows for the production of different paddy rice cultivars in Golestan province of Iran using Cobb-Douglas (CD) model and artificial neural network (ANN). The studied energy inputs were human labor, agricultural machinery, diesel fuel, seed, biocide, chemical fertilizers, farmyard manure and electricity. The results indicated that the total energy consumption...

article

An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management

Mohammad Rezaei-Malek, Reza Tavakkoli-Moghaddam, Naoufel Cheikhrouhou, Alireza Taheri-Moghaddam

Transportation Research Part E: Logistics and Transportation Review > 2016 > 93 > C > 485-509

This work develops a multi-objective, two-stage stochastic, non-linear, and mixed-integer mathematical model for relief pre-positioning in disaster management. Improved imbalance and efficacy measures are incorporated into the model based on a new utility level of the delivered relief commodities. This model considers the usage possibility of a set of alternative routes for each of the applied transportation...

article

A dynamic closed-loop location-inventory problem under disruption risk

Javad Asl-Najafi, Behzad Zahiri, Ali Bozorgi-Amiri, Alireza Taheri-Moghaddam

Computers & Industrial Engineering > 2015 > 90 > C > 414-428

In this paper, a dynamic closed-loop location-inventory problem is addressed that optimizes strategic decisions (i.e., facility location in terms of contracting/selection of distribution centers and reworking centers) along with tactical ones (i.e., allocation of centers, inventory management) under facility disruption risks. The presented model seeks to minimize total cost as the first objective...

article

Modified step-up boost converter with coupled-inductor and super-lift techniques

Hamid Bahrami, Hossein Iman-Eini, Babak Kazemi, Alireza Taheri

IET Power Electronics > 2015 > 8 > 6 > 898 - 905

In this study, a modified efficient step-up boost converter is proposed. The proposed structure employs coupled-inductor and super-lift techniques to achieve high voltage gain. The super-lift stage absorbs the available energy in the leakage inductance of the coupled inductor, clamps the off-state voltage of the main switch, and reaches a moderate voltage gain. Moreover, the coupled-inductor technique...

article

Environmental impacts of peanut production system using life cycle assessment methodology

Amin Nikkhah, Mehdi Khojastehpour, Bagher Emadi, Alireza Taheri-Rad, more

Journal of Cleaner Production > 2015 > 92 > Complete > 84-90

Agricultural activities emit the greenhouse gases and the other environmental contaminants to the atmosphere. Thus, the environmental impacts of agricultural activities have to be examined for identification, assessment and mitigation. In this study, life cycle assessment (LCA) methodology was used to determine the environmental impacts of peanut production system in Guilan province of Iran. These...

article

A probabilistic artificial neural network-based procedure for variance change point estimation

Amirhossein Amiri, S. T. A. Niaki, Alireza Taheri Moghadam

Soft Computing > 2015 > 19 > 3 > 691-700

Control charts are useful tools of monitoring quality characteristics. One of the problems of employing a control chart is that the time it alarms is not synchronic with the time when assignable cause manifests itself in the process. This makes difficult to search and find assignable causes. Knowing the real time of manifestation of assignable cause (change point) helps to find assignable cause(s)...

article

Implementation and Control of X–Y Pedestal Using Dual-Drive Technique and Feedback Error Learning for LEO Satellite Tracking

Alireza Taheri, Mahdi Aliyari Shoorehdeli, Hamid Bahrami, Mohammad Hossein Fatehi

IEEE Transactions on Control Systems Technology > 2014 > 22 > 4 > 1646 - 1657

This brief presents a X–Y pedestal using the feedback error learning (FEL) controller with adaptive neural network for low earth orbit (LEO) satellite tracking applications. The aim of the FEL is to derive the inverse dynamic model of the X–Y pedestal. In this brief, the kinematics of X–Y pedestal is obtained. To minimize or eliminate the backlash between gears, an antibacklash gearing system with...

chapter

Dynamic voltage restorer using sliding mode control to improve power quality in distribution system

Hadi Ezoji, Alireza Taheri, Mehdi Saki, A. Sheikholeslami, more

2012 11th International Conference on Environment and Electrical Engineering > 947 - 951

2012 11th International Conference on Environment and Electrical Engineering (EEEIC)

Custom power instruments are of the most prominent compensators of power quality in distributed network. Among these, to compensate the voltage, DVR has the best performance. In this research sliding mode control of DVR is proposed. Also, among the common methods of voltage compensating, pre-sag method which is an effective and useful method of voltage improvement, has just used. This method compensates...

chapter

Designing an adaptive neural network controller for TORA system by using Feedback Error Learning

Alireza Taheri, Mehdi Tavan, Mohammad Teshnehlab

2010 Chinese Control and Decision Conference > 2259 - 2264

2010 Chinese Control and Decision Conference (CCDC)

As a special kind of nonlinear systems, underactuated systems are of great interest in both theoretical research and real applications. The TORA (Translational Oscillator with Rotational Actuator) is an underactuated system. This system was developed as a simplified model of a dual-spin spacecraft and rotary machines for investigating the resonance capture phenomenon. This paper presents a new method...

article

Simultaneous determination of tryptophan, uric acid and ascorbic acid at iron(III) doped zeolite modified carbon paste electrode

Ali Babaei, Mojgan Zendehdel, Balal Khalilzadeh, Alireza Taheri

Colloids and Surfaces B: Biointerfaces > 2008 > 66 > 2 > 226-232

A new chemically modified electrode is constructed based on iron(III) doped zeolite modified carbon paste electrode (Fe ³⁺ Y/ZCME). The electrode was evaluated as a sensor for sub-micromolar determination of tryptophan (Trp), uric acid (UA) and ascorbic acid (AA) in aqueous solutions. The measurements were carried out by application of the differential pulse voltammetry (DPV) method in phosphate...

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