توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Simultaneous Modeling the Dynamic Cellular Manufacturing Systems and Sale Price
نویسنده(ها): ، ، ،
اطلاعات انتشار: هشتمین کنفرانس بین المللی مهندسی صنایع، سال
تعداد صفحات: ۵
The classic cell formation problem allocates a group of machines to machine cells, classifies parts into part families, and allocates part families to machine cells for forming independentcells. In this study, an integrated CMS model composed of dynamic cell formation problem with regard to the income andprofits resulted from the sale of goods in all periods is extended. The proposed model regulates the market by setting prices andmakes decision on acceptance or rejection of all or part of orderson one hand, and on the other hand meets the customer's demands to provide a certain quantity of certain goods. Featureslike calculating profit, customer satisfaction, determining the appropriate price in order to supply of goods to customers,determining the appropriate point of demand acceptance, identifying profitable products and loss–making products, anddecision making toward the expansion or elimination ofmanufacturing units are innovations used in this model that there have not received much attention in cell production so far. To investigate the performance of the proposed model, a numerical example has been presented.<\div>

۲SPARSE BASED SIMILARITY MEASURE FOR MONO–MODAL IMAGE REGISTRATION
نویسنده(ها): ،
اطلاعات انتشار: هشتمین کنفرانس ماشین بینایی و پردازش تصویر، سال
تعداد صفحات: ۵
Similarity measure is an important key in image registration.Most traditional intensity–based similarity measures (e.g.,SSD, CC, MI, and CR) assume stationary image and pixel bypixel independence. Hence, perfect image registration cannotbe achieved especially in presence of spatially–varying intensitydistortions and outlier objects that appear in one imagebut not in the other. Here, we suppose that non stationaryintensity distortion (such as Bias field or Outlier) has sparserepresentation in transformation domain. Based on this assumption,the zero norm (ℓ0) of the residual image betweentwo registered images in transform domain is introduced as anew similarity measure in presence of non–stationary intensity.In this paper we replace ℓ0 norm with ℓ1 norm which is apopular sparseness measure. This measure produces accurateregistration results in compare to other similarity measuresuch as SSD, MI and Residual Complexity RC.<\div>

۳MONO–MODAL IMAGE REGISTRATION VIA CORRENTROPY MEASURE
نویسنده(ها): ،
اطلاعات انتشار: هشتمین کنفرانس ماشین بینایی و پردازش تصویر، سال
تعداد صفحات: ۴
The registration of images is a fundamental task in numerousapplications in medical image processing. Similarity measureis an important key in intensity based image registration.Here, we propose correntropy measure as similarity measurein mono modal setting. Correntropy is a important measurebetween two random variables based on information theoreticlearning and kernel methods. This measure is useful in non–Gaussian signal processing. In this paper, this measure is usedin image registration. Here, we analytically illustrate thatthis measure is robust in presence of spiky noise (impulsivenoise). The experimental results show that the proposed similarityhas better performance than traditional intensity–basedsimilarity measures such as Mutual information and SSD<\div>

۴3D Formation of Swarm Robots by the Use of Several Sub–Swarms
نویسنده(ها): ،
اطلاعات انتشار: کنفرانس دو سالانه بین المللی مکانیک جامدات تجربی، سال
تعداد صفحات: ۷
This paper presents a new method for formation swarm robots in three dimensional(3D). The 3D form is created by dividing swarm–robots into several sub–swarms which are formed in two dimensional (2D). In order to coordinate sub–swarms, linear dominance hierarchy model is applied. The model provides several levels of dominancy among sub–swarms. Also, the leaderfollower approach coordinates the members of each sub–swarm. This model has many advantages such as: i) ability to form any 3D shapes not only some specific shapes such as pyramid which is presented in previous researches, ii) improving the scalability of swarm, and iii) optimizing the energy consumption efficiency by reduction of communications among the large number of swarms. The performance of this method is illustrated in simulations results.<\div>

۵Integrated Fuzzy Sliding Mode Control System Design for Driving Behavior inReal Traffic Flow
نویسنده(ها): ، ، ،
اطلاعات انتشار: کنفرانس دو سالانه بین المللی مکانیک جامدات تجربی، سال
تعداد صفحات: ۶
Due to extensive use of vehicle in daily life, a considerable attention has been paid to traffic congestion, safety issues and reducing driving tension from scientific and industrial communities. To achieve these goals, various vehicle control systems have been designed. In this paper, an Integrated Control System (ICS) based on fuzzy sliding model control has been designed in order to obtain suitable composite torque and steering angel in car following and lane changing situation. The aim of designing of this control system is to obtain an ICS that maintain safe distance in longitudinal and lateral movement of the vehicle with its leader vehicle. This control system has both advantages of sliding mode and fuzzy logic methods. Also, nonlinear dynamics model with three degrees of freedom has been used to define sliding surfaces in sliding mode control method. Finally, real driver traffic data has been used to evaluate system performance. The simulation results shows that the designed ICS has a behavior much safer than that of real drivers and the effectiveness of the fuzzy sliding mode control in both car following and lane changing maneuvers.<\div>

۶Multi–Objective Optimization of Energy Usage in Swarm Robots by UsingNSGA–II
نویسنده(ها): ،
اطلاعات انتشار: کنفرانس دو سالانه بین المللی مکانیک جامدات تجربی، سال
تعداد صفحات: ۶
This paper introduces a Multi–Objective Optimization (MOO) problem in swarm robots formation which its consequences lead to reduce energyconsumption. In this MOO problem the magnitude of robots’ displacement along the path and the required time of formation are proposed as objective functions. Decreases of energy consumption are directly proportional with the reduction of objective functions. For solving MOO problem, the elitist Nondominated Sorting Genetic Algorithm II (NSGA–II) is proposed. A set of control parameters are specified by NSGA–II and we have considered the best of them to optimize the introduced Objective Functions. The results illustrate reduction in the amount of objective functions only by optimizing the behavior’s algorithm of swarm robots without any needs to improve hardware of robots.<\div>
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