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 Subjects -> ENGINEERING (Total: 1962 journals)     - CHEMICAL ENGINEERING (151 journals)    - CIVIL ENGINEERING (149 journals)    - ELECTRICAL ENGINEERING (82 journals)    - ENGINEERING (1119 journals)    - ENGINEERING MECHANICS AND MATERIALS (290 journals)    - HYDRAULIC ENGINEERING (45 journals)    - INDUSTRIAL ENGINEERING (52 journals)    - MECHANICAL ENGINEERING (74 journals) ENGINEERING (1119 journals)            First | 3 4 5 6 7 8 9 10 | Last
 Journal of Applied Science and Technology Journal of Applied Sciences       (Followers: 5) Journal of Architectural Engineering       (Followers: 5) Journal of ASTM International       (Followers: 3) Journal of Aviation Technology and Engineering       (Followers: 6) Journal of Biological Dynamics       (Followers: 1) Journal of Biomedical Science       (Followers: 2) Journal of Biomolecular NMR       (Followers: 3) Journal of Biosciences Journal of Catalysis       (Followers: 5) Journal of Central South University Journal of China Universities of Posts and Telecommunications       (Followers: 2) Journal of China University of Mining and Technology Journal of Cleaner Production       (Followers: 11) Journal of Coal Science and Engineering (China) Journal of Cold Regions Engineering       (Followers: 3) Journal of Combinatorial Designs       (Followers: 2) Journal of Combustion       (Followers: 5) Journal of Communications       (Followers: 17) Journal of Computational and Nonlinear Dynamics       (Followers: 4) Journal of Computational and Theoretical Nanoscience       (Followers: 1) Journal of Computational Biology       (Followers: 6) Journal of Computational Electronics       (Followers: 1) Journal of Computing and Information Science in Engineering       (Followers: 2) Journal of Dairy Science       (Followers: 13) Journal of Display Technology       (Followers: 2) Journal of Dynamic Systems, Measurement, and Control       (Followers: 7) Journal of Dynamical and Control Systems       (Followers: 3) Journal of Earthquake Engineering       (Followers: 6) Journal of Elasticity       (Followers: 2) Journal of Electroceramics Journal of Electromagnetic Waves and Applications       (Followers: 1) Journal of Electronic Imaging       (Followers: 2) Journal of Electronic Testing       (Followers: 1) Journal of Electronics Cooling and Thermal Control       (Followers: 1) Journal of Electrostatics Journal of Energy Engineering       (Followers: 6) Journal of Energy Resources Technology       (Followers: 5) Journal of Engineering Journal of Engineering and Computer Innovations Journal of Engineering and Technology       (Followers: 5) Journal of Engineering and Technology Research Journal of Engineering Design       (Followers: 13) Journal of Engineering Education Journal of Engineering Entrepreneurship, The       (Followers: 3) Journal of Engineering for Gas Turbines and Power       (Followers: 9) Journal of Engineering Mathematics Journal of Engineering Mechanics       (Followers: 12) Journal of Engineering Physics and Thermophysics Journal of Engineering Thermophysics Journal of Engineering, Computers and Applied Sciences Journal of Engineering, Design and Technology       (Followers: 13) Journal of Environmental & Engineering Geophysics Journal of Environmental Engineering       (Followers: 23) Journal of Environmental Engineering and Landscape Management       (Followers: 7) Journal of Experimental Nanoscience       (Followers: 3) Journal of Fire Sciences       (Followers: 1) Journal of Flood Risk Management       (Followers: 7) Journal of Fluids Engineering       (Followers: 12) Journal of Fourier Analysis and Applications Journal of Fuel Cell Science and Technology       (Followers: 2) Journal of Functional Analysis       (Followers: 1) Journal of Fundamental and Applied Sciences Journal of Geological Research       (Followers: 1) Journal of Geotechnical and Geoenvironmental Engineering       (Followers: 14) Journal of Global Optimization       (Followers: 4) Journal of Guidance, Control, and Dynamics       (Followers: 49) Journal of Healthcare Engineering       (Followers: 2) Journal of Heat Transfer       (Followers: 23) Journal of Humanitarian Engineering       (Followers: 1) Journal of Hydraulic Engineering       (Followers: 14) Journal of Hyperspectral Remote Sensing Journal of Imaging Science and Technology Journal of Industrial and Production Engineering       (Followers: 2) Journal of Industrial Engineering and Management       (Followers: 4) Journal of Inequalities and Applications Journal of Infrared, Millimeter and Terahertz Waves       (Followers: 1) Journal of Integrated Design and Process Science       (Followers: 1) Journal of Intelligent and Fuzzy Systems       (Followers: 9) Journal of Inverse and Ill-posed Problems       (Followers: 1) Journal of Irrigation and Drainage Engineering       (Followers: 10) Journal of K-Theory Journal of King Saud University - Engineering Sciences Journal of Konbin Journal of Liquid Chromatography & Related Technologies       (Followers: 8) Journal of Management in Engineering       (Followers: 10) Journal of Manufacturing Science and Engineering       (Followers: 10) Journal of Manufacturing Systems       (Followers: 8) Journal of Manufacturing Technology Management       (Followers: 5) Journal of Mathematical Modelling and Algorithms       (Followers: 1) Journal of Metallurgy       (Followers: 1) Journal of Middle European Construction and Design of Cars       (Followers: 1) Journal of Molecular Catalysis B: Enzymatic Journal of Motor Behavior       (Followers: 5) Journal of Multivariate Analysis       (Followers: 4) Journal of Nanoengineering and Nanomanufacturing       (Followers: 1) Journal of Nanoparticle Research       (Followers: 3) Journal of Nanoscience Journal of Nanoscience and Nanotechnology       (Followers: 11) Journal of NanoScience, NanoEngineering & Applications
 Journal of Mathematical Modelling and Algorithms    [3 followers]  Follow        Hybrid journal (It can contain Open Access articles)      ISSN (Print) 1570-1166 - ISSN (Online) 1572-9214      Published by Springer-Verlag  [2209 journals]   [SJR: 0.264]   [H-I: 15]
• Higher Order Fractional Symmetric Duality Over Cone Constraints
• Abstract: In this paper, a pair of Mond-Weir type higher order fractional symmetric dual program over cone constraints is formulated. Under higher order invexity assumptions, we prove weak, strong and strict duality theorems. Moreover, a self dual program is formulated and self duality theorem is discussed.
PubDate: 2014-05-21

• Mathematical Modeling and Computational Algorithm to Solve Multi-Echelon
Multi-Constraint Inventory Problem with Errors in Quality Inspection
• Abstract: In this research an integrated production-distribution inventory model is developed for a single-vendor single-buyer supply chain system with the consideration of quality inspection errors at the buyer’s end, the buyer’s warehouse has limited capacity and there is an upper bound on the purchase of products. Mathematical modeling is employed in this study for optimizing the replenishment lot-size and total number of deliveries from the vendor to the buyer in one production run with the objective of minimizing integrated expected total cost of the system while satisfying the constraints. We show that the model of this problem is a constrained non-linear programme and propose a simple Lagrangian multiplier algorithmic technique to solve it. The computational effort and time are small for the proposed algorithm and it is simple to implement. A numerical example is given to demonstrate the application and the performance of the proposed methodology. In addition, sensitivity analysis has been carried out to illustrate the behaviors of the proposed model and some managerial insights are also included.
PubDate: 2014-05-18

• An Adaptive Infeasible Interior-Point Algorithm with Full Nesterov-Todd
Step for Semidefinite Optimization
• Abstract: We present an adaptive full Nesterov-Todd step infeasible interior-point method for semidefinite optimization. The proposed algorithm requires two types of full Nesterov-Todd steps are called, feasibility steps and centering steps, respectively. At each iteration both feasibility and optimality are reduced exactly at the same rate. In each iteration of the algorithm we use the largest possible barrier parameter value θ. The value θ varies from iteration to iteration and it lies between the two values $\frac {1}{4n}$ and $\frac {1}{5n}$ , which results a faster algorithm.
PubDate: 2014-05-16

• Derivative-Free Augmented Lagrangian for Global Optimization: Cost
Minimization in a Simplified Activated Sludge System Model
• Abstract: A methodology for finding the optimal values of the decision variables from an efficient simplified mathematical model of an activated sludge system is addressed in this paper. The work herein presented arises in a wastewater treatment plant design context, where investment and operational costs are to be minimized and computational effort is to be reduced. To achieve the best design, a non-linear optimization solution method based on an augmented Lagrangian approach is proposed. At each iteration, a subproblem is globally solved by a derivative-free recursive branching technique, known as the multilevel coordinate search algorithm of Huyer and Neumaier [20]. The presented technique has been shown to work quite well when solving the herein proposed non-convex and non-smooth constrained optimization model. The numerical results show the reliability of the obtained solutions at a reduced computational cost.
PubDate: 2014-05-13

• Generalized Multiobjective Evolutionary Algorithm Guided by Descent
Directions
• Abstract: This paper proposes a generalized descent directions-guided multiobjective algorithm (DDMOA2). DDMOA2 uses the scalarizing fitness assignment in its parent and environmental selection procedures. The population consists of leader and non-leader individuals. Each individual in the population is represented by a tuple containing its genotype as well as the set of strategy parameters. The main novelty and the primary strength of our algorithm is its reproduction operator, which combines the traditional local search and stochastic search techniques. To improve efficiency, when the number of objective is increased, descent directions are found only for two randomly chosen objectives. Furthermore, in order to increase the search pressure in high-dimensional objective space, we impose an additional condition for the acceptance of descent directions found for leaders during local search. The performance of the proposed approach is compared with those produced by representative state-of-the-art multiobjective evolutionary algorithms on a set of problems with up to 8 objectives. The experimental results reveal that our algorithm is able to produce highly competitive results with well-established multiobjective optimizers on all tested problems. Moreover, due to its hybrid reproduction operator, DDMOA2 demonstrates superior performance on multimodal problems.
PubDate: 2014-05-12

• Preface
• PubDate: 2014-05-10

• ILIGRA: An Efficient Inverse Line Graph Algorithm
• Abstract: This paper presents a new and efficient algorithm, IligraLIGRA, for inverse line graph construction. Given a line graph H, ILIGRA constructs its root graph G with the time complexity being linear in the number of nodes in H. If ILIGRA does not know whether the given graph H is a line graph, it firstly assumes that H is a line graph and starts its root graph construction. During the root graph construction, ILIGRA checks whether the given graph H is a line graph and ILIGRA stops once it finds H is not a line graph. The time complexity of ILIGRA with line graph checking is linear in the number of links in the given graph H. For sparse line graphs of any size and for dense line graphs of small size, numerical results of the running time show that ILIGRA outperforms all currently available algorithms.
PubDate: 2014-04-25

• Optimal Preservation Technology Investment, Retail Price and Ordering
Policies for Deteriorating Items under Trended Demand and Two Level Trade
Credit Financing
• Abstract: This research analyzes the impact of deploying suitable preservation technology for an inventory system in which units are subject to constant rate of deterioration. The demand is considered to be function of time and retail price. It is assumed that the supplier offers a fixed credit period to the retailer and retailer also offers credit period to the customers. The goal is to maximize the total profit per unit time with respect to optimal investment to be made in preservation technology, retail price of an item and purchase quantity. The concavity of the total profit is validated using numerical example. The managerial issues are discussed.
PubDate: 2014-03-16

• A Particle Filtering Approach for Tracking an Unknown Number of Objects
with Dynamic Relations
• Abstract: In recent years there has been a growing interest on particle filters for solving tracking problems, thanks to their applicability to problems with continuous, non-linear and non-Gaussian state spaces, which makes them more suited than hidden Markov models, Kalman filters and their derivations, in many real world tasks. Applications include video surveillance, sensor fusion, tracking positions and behaviors of moving objects, situation assessment in civil and bellic scenarios, econometric and clinical data series analysis. In many environments it is possible to recognize classes of similar entities, like pedestrians or vehicles in a video surveillance system, or commodities in econometric. In this paper, a relational particle filter for tracking an unknown number of objects is presented which exploits possible interactions between objects to improve the quality of filtering. We will see that taking into account relations between objects will ease the tracking of objects in presence of occlusions and discontinuities in object dynamics. Experimental results on a benchmark data set are presented.
PubDate: 2014-03-01

• Single and Multi Camera Simultaneous Localization and Mapping Using the
Extended Kalman Filter
• Abstract: Simultaneous Localization and Mapping (SLAM) has received quite a lot of attention in the last decades because of its relevance for many applications centered on a mobile observer, such as service robotics and intelligent transportation systems. This paper focuses on the use of recursive Bayesian filtering, as implemented by the Extendend Kalman Filter (EKF), to face the Visual SLAM problem, i.e., when using data from visual sources. In Monocular SLAM, which uses a single camera as unique source of information, it is not possible to directly estimate the depth of a feature from a single image. To handle the severely non-normal distribution representing such uncertainty, inverse parametrizations were developed, capable to deal with such uncertainty and still relying on Gaussian variables. In the paper, after an introduction to EKF-SLAM, we provide a review of different inverse parametrizations, and we introduce a novel proposal, the Framed Inverse Depth (FID) parametrization, which, in terms of consistency, performs similarly to state of the art Monocular SLAM parametrizations, but at a reduced computational cost. All these parametrizations can be used in a stereo and multi camera setting too. An extensive analysis is presented for both Monocular and stereo SLAM, for a simulated environment widely used in the literature as well as on a widely used real dataset.
PubDate: 2014-03-01

• The Mathematics of Filtering and Its Applications
• PubDate: 2014-03-01

• Generalised Risk-Sensitive Control with Full and Partial State Observation
• Abstract: This paper generalises the risk-sensitive cost functional by introducing noise dependent penalties on the state and control variables. The optimal control problems for the full and partial state observation are considered. Using a change of probability measure approach, explicit closed-form solutions are found in both cases. This has resulted in a new risk-sensitive regulator and filter, which are generalisations of the well-known classical results.
PubDate: 2014-03-01

• Controllability and Controller-Observer Design for a Class of Linear
Time-Varying Systems
• Abstract: In this paper a class of linear time-varying control systems is considered. The time variation consists of a scalar time-varying coefficient multiplying the state matrix of an otherwise time-invariant system. Under very weak assumptions of this coefficient, we show that the controllability can be assessed by an algebraic rank condition, Kalman canonical decomposition is possible, and we give a method for designing a linear state-feedback controller and Luenberger observer.
PubDate: 2014-03-01

• A Higher-Order Hidden Markov Chain-Modulated Model for Asset Allocation
• Abstract: This paper presents an analysis of asset allocation strategies when the asset returns are governed by a discrete-time higher-order hidden Markov model (HOHMM), also called the weak hidden Markov model. We assume the drifts and volatilities of the asset returns switch over time according to the state of the HOHMM, in which the probability of the current state depends on the information from previous time-steps. The “switching” and “mixed” strategies are studied. We use a multivariate filtering technique in conjunction with the EM algorithm to obtain estimates of model parameter at a given time. This, in turn, aids investors in determining the optimal investment strategy for the next time step. Numerical implementation is applied to data on Russell 3000 value and growth indices. We benchmark the respective performances of portfolio using three classical investment measures.
PubDate: 2014-03-01

• Sea SAR Images Analysis to Detect Oil Slicks in Algerian Coasts
• Abstract: In this paper, we investigate the performance of partition features derived from histogram analysis to isolate dark spots which are candidates to be oil spills in SAR images. The first partition is carried out to obtain preliminary clusters of the pixels on the basis of their grey level intensities and threshold values deduced from the histogram. The detection process is achieved by a contextual partition where the conflict pixels are attributed to their region involving local information about pre-etiqueted pixels neighbouring the pixel in question. For pixel’s assignment, we propose two decision criteria: the first based on Local Probability Maximization (LPM) while the second uses a Chi-squared test (χ 2). We considered variable context in order to characterize the sea texture and dark spots. This method is tested on ERS-2 SAR Precision Image (PRI) covering Algerian coasts and gave promising results which are useful for the identification process.
PubDate: 2014-02-19

• A Graphical Approach to Solve an Investment Optimization Problem
• Abstract: We consider a project investment problem, where a set of projects and an overall budget are given. For each project, a piecewise linear profit function is known which describes the profit obtained if a specific amount is invested into this project. The objective is to determine the amount invested into each project such that the overall budget is not exceeded and the total profit is maximized. For this problem, a graphical algorithm (GrA) is presented which is based on the same Bellman equations as the best known dynamic programming algorithm (DPA) but the GrA has several advantages in comparison with the DPA. Based on this GrA, a fully-polynomial time approximation scheme is proposed having the best known running time. The idea of the GrA presented can also be used to solve some similar scheduling or lot-sizing problems in a more effective way, e.g., the related problem of finding lot-sizes and sequencing several products on a single imperfect machine.
PubDate: 2014-02-08

• Efficiency Improvement Strategy Under Constant Sum of Inputs
• Abstract: In this paper, we have formulated Data Envelopment Analysis (DEA) models to reduce the inputs in an inefficient Decision Making Unit (DMU) when the specific inputs are under the constant sum constraint. We have also extended the models to reallocate the excess input without any reduction in efficiency of other DMUs. These DEA models and methods developed in this work will help decision makers in developing an optimal strategy to transfer excess input to other DMUs. Theoretical results have been illustrated with the help of a case study.
PubDate: 2014-01-16

• Wolfe Type Higher Order Multiple Objective Nondifferentiable Symmetric
Dual Programming with Generalized Invex Function
• Abstract: In this paper, a new class of higher order (ϕ, ρ)-invex function is introduced with an example, in which the sublinearity and convexity assumption on ϕ with respect to third argument is relaxed. A pair of higher order Wolfe type multiobjective symmetric dual for a class of nondifferentiable multiobjective programming involving square root term is presented and the weak duality, strong duality and converse duality theorems are established with their proofs under higher order (ϕ, ρ)-invexity and (ϕ, ρ)-incavity assumption. Self duality theorem is proved for the proposed dual program. These results are used to discuss Wolfe type higher-order symmetric minimax mixed integer dual problems. A numerical example is developed where the results of weak and strong duality theorems can be applied. Discussion on some particular cases shows that our results generalize earlier results in related domain.
PubDate: 2014-01-12

• A Large-Update Interior-Point Method for Cartesian        class="a-plus-plus">P        class="a-plus-plus">∗(       class="a-plus-plus">κ)-LCP Over Symmetric
Cones
• Abstract: In this paper, we propose a new large-update interior point algorithm for the Cartesian P ∗(κ) linear complementarity problem over symmetric cones (SCLCP) based on a parametric kernel function, which determines both search directions and the proximity measure between the iterate and the μ-center. Using Euclidean Jordan algebras, we derive the iteration bound that match the currently best known iteration bound for large update methods.
PubDate: 2014-01-11

• Optimal SVM Classification for Compact Polarimetric Data Using Stokes
Parameters
• Abstract: In this paper, our objective is twofold: first, to assess the potential of the new compact polarimetry imaging radar system called hybrid-polarimetry (CL-pol): circular transmitted polarization and coherent dual linear receive polarizations for full characterization and exploitation of the backscattered field. Useful characteristics that are unique to the hybrid-polarity architecture are invariance to geometrical orientations and minimizing on-board resource requirements. Second, to develop a classification polarimetric method based on the support vector machine (SVM) which uses full- and the compact-pol modes. We present a study of the polarimetric information content derived from the decomposition for the CL-mode using Stokes parameter data products and from Freeman-Durden-decomposition derived from the full-pol imaging mode. We compare SVM classification both among the partial polarimetric datasets and against the full quad-pol dataset. We illustrate our results by using the polarimetric SAR images of Algiers city in Algeria acquired by the RadarSAT2 (FQ19) in C-band.
PubDate: 2013-12-14

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