ENGINEERING RESEARCH PAPERS

algorithm IEEE PAPER 2017




New Reactive Molecular Dynamics Algorithm for Modeling the Thermal Decomposition of Polymers
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High-accuracy quantum chemistry and molecular simulation methods, along with advances in computer technology, have introduced new capabilities for investigating thermal reactivity and its effect on materials flammability. One example is a molecular dynamics computer

M4GB: An efficient Grobner-basis algorithm
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For several decades, the design of trapdoor functions in public-key cryptography mostly relied on hardness of integer factorization and discrete logarithms in nite elds and algebraic curves. However, as Shors algorithm [14] yields a polynomial-time quantum algorithm for

A parametrized proximal point algorithm for separable convex optimization
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Abstract In this paper, we develop a Parameterized Proximal Point Algorithm (P-PPA) for solving a class of separable convex programming problems subject to linear and convex constraints. The proposed algorithm is provable to be globally convergent with a worst-case

Implementing stereotactic RapidArc treatments into clinical routine: from algorithm configuration to treatment validation
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Abstract: Purpose: This work aims to aid the medical physicist with the safe implementation of RapidArc (RA)(Varian Medical Systems, Palo Alto, CA) stereotactic radiotherapy treatments (SRS/SBRT) into clinical routine, from treatment planning system (TPS)

Autoregressive Linear Thermal Model of a Residential Forced-Air Heating System with Backpropagation Parameter Estimation Algorithm
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Abstract Model predictive control (MPC) strategies show great potential for improving the performance and energy efficiency of building heating, ventilation, and air-conditioning (HVAC) systems. A challenge in the deployment of such predictive thermostatic control

Mistaken Play in the Deferred Acceptance Algorithm : Implications for Positive Assortative Matching
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In their seminal work, Gale and Shapley (1962) presented the deferred acceptance algorithm (DAA) an algorithm that has subsequently motivated a large literature on mechanism design in two-sided matching markets. When utilizing this algorithm , two groups

Optimum Design of Composite Corrugated Web Beams Using Hunting Search Algorithm
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Abstract Over the past few years there has been sustainable development in the steel and composite construction technology. One of the recent additions to such developments is the I girders with corrugated web beams. The use of these new generation beams results in a

Design Nonlinear Model-free Neuro-fuzzy ARX Algorithm to Control of Systems Temperature
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Abstract Control of systems temperature is one of the active research areas in field of energy consumption. In this research we have following objectives: temperature data collection from system, intelligent system identification based on neuro-fuzzy Auto Regressive eXternal

A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization
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Abstract We propose a generic approach to accelerate gradient-based optimization algorithms with quasi-Newton principles. The proposed scheme, called QuickeNing, can be applied to incremental first-order methods such as stochastic variance-reduced gradient

Brain Tumor Segmentation Using MS Algorithm
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ABSTRACT In this paper we developed Brain tumor techniques using tomography, such as MRI (Magnetic Resonance images) provide a plethora of pathophysiological tissue information that assists the clinician in diagnosis, therapy design/monitoring and surgery.

Traveling Salesman Problem Using Genetic Algorithm : A Survey
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ABSTRACT Traveling Salesman Problem is a well-known NP-Complete problem in computer science. It has many application areas in science and engineering. It is an optimization problem. TSP can be solved using heuristic techniques such as genetic

Monte Carlo genetic algorithm (MCGA) for model analysis of multiphase chemical kinetics to determine transport and reaction rate coefficients using multiple
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Abstract. We present a Monte Carlo genetic algorithm (MCGA) for efficient, automated, and unbiased global optimization of model input parameters by simultaneous fitting to multiple experimental data sets. The algorithm was developed to address the inverse modelling

Identification of structural variation in Zea mays: use of paired-end mapping and development of a novel algorithm based on split reads
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SUMMARY The present work is part of the ERC-funded project NOVABREED, which has as objective the characterization of the pan-genome of Vitis vinifera and Zea mays, through the application and the development of in silico methods for the analysis of Next Generation

Reconfigurable materials: Algorithm for architectural origami
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Figure 1| Designing prismatic architected materials based on origami. Architected materials contain specially engineered structural elements. a, Designs for origami-inspired architected materials can begin by identifying a repeating unit composed of polyhedra. b, Prismatic

The EM Algorithm : Theory, Applications and Related Methods
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We shall not cease from exploration, and the end of all our exploring will be to arrive where we started and know the place for the first time. TS Eliot I have been trying to understand the EM algorithm for twenty-five years. I first encountered the EM algorithm in 1990, when I

The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links
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Abstract In this paper, we present ContrastMedium, an algorithm that transforms noisy semantic networks into full-fledged, clean taxonomies. ContrastMedium is able to identify the embedded taxonomy structure from a noisy knowledge graph without explicit human

DETERMINING OPTIMAL LOCATION OF ISOLATION VALVES USING SELF ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM
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Determining optimal location of isolation valves is an important problem in any water distribution network (WDN), as it influences the mechanical reliability of the water supply system. The problem of optimal location of isolation valves involves minimization of the cost

An Improved Algorithm for the Periodic Timetabling Problem
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Abstract We consider the computation of periodic timetables, which is a key task in the service design process of public transportation companies. We propose a new approach for solving the periodic timetable optimisation problem. It consists of a (partially) heuristic

Adaptive Monte Carlo Algorithm to Global Radio Resources Optimization in H-CRAN
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Abstract We propose an Adaptive Monte Carlo algorithm to perform global energy efficient resource allocation for Heterogeneous Cloud Radio Access Network (H-CRAN) architectures, which are forecast as future fifth-generation (5G) networks. We argue that our

A Rapid Algorithm for Multi-objective Pareto Optimization of Modular Architecture
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Abstract Assigning components and functions to modules early can facilitate faster and higher quality results in the latter stages of development and manufacturing. Methods have been developed to suggest suitable architectures using a variety of metrics that measure the

Optimal routing algorithm for large scale multi-modal transit networks
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Abstract Finding the shortest path between two given nodes of a network is a very well known problem in the research community. To solve this problem, a few widely used graph search algorithms are available, such as Dijkstra, A* and goal directed search. However,

An optimal algorithm for bandit and zero-order convex optimization with two-point feedback
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Abstract We consider the closely related problems of bandit convex optimization with two point feedback, and zero-order stochastic convex optimization with two function evaluations per round. We provide a simple algorithm and analysis which is optimal for convex Lipschitz

MODIS Global Terrestrial Evapotranspiration (ET) Product (NASA MOD16A2/A3) NASA Earth Observing System MODIS Land Algorithm
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Synopsis This users guide describes a level 4 MODIS land data product, MOD16, the global 8-day (MOD16A2) and annual (MOD16A3) terrestrial ecosystem Evapotranspiration (ET) dataset at 0.5 km spatial resolution over the 109.03 Million km2 global vegetated land areas

Evaluation of New Commercially Available Metal Artifact Reduction (MAR) Algorithm on Both Image Quality and Relative Dosimetry for Patients with Hip
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Abstract Streaking artifacts on computed tomography (CT) images are caused by high density materials such as hip prosthesis, surgical clips and dental fillings. The artifacts can lead to compromised clinical outcome due to the inability to differentiate tumor volume and

Algorithm xxx: Bertini real: Numerical Decomposition of Real Algebraic Curves and Surfaces
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Abstract Bertini real is a compiled command line program for numerically decomposing the real portion of a positive-dimensional complex component of an algebraic set. The software uses homotopy continuation to solve a series of systems via regeneration from a witness set

Pharmacogenetics-based warfarin dose prediction algorithm for patients with heart valve replacement in Southeast China
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ABSTRACT. This study was designed to analyze the influence of polymorphisms in CYP2C9, VKORC1, CYP4F2, GGCX, and EPHX1 genes on the optimal warfarin dosage in patients who have undergone artificial heart valve replacement and establish an algorithm

OPTIMAL DESIGN OF CANTILEVER RETAINING WALL USING DIFFERENTIAL EVOLUTION ALGORITHM
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ABSTRACT Optimal design of cantilever reinforced concrete retaining wall can lead considerable cost saving if its involvement in hill road formation and railway line formation is significant. A study of weight reduction optimization of reinforced cantilever retaining wall

Investigation of a novel MPPT algorithm based on extraterrestrial radiation for PV systems
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ABSTRACT In this study, an innovative maximum power point tracker (MPPT) algorithm based on extraterrestrial radiation is developed for obtain maximum power from photovoltaic (PV) panels. This MPPT algorithm is tested on a platform established in MATLAB/Simulink

An IP-based swapping algorithm for the metric dimension and minimal doubly resolving set problems in hypercubes
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Abstract We consider the problems of determining the metric dimension and the minimum cardinality of doubly resolving sets in n-cubes. Most heuristics developed for these two NP hard problems use a function that counts the number of pairs of vertices that are not (doubly)

Application of Optimized GSA Algorithm on Bad-data Detection of Electric Power Dispatching System
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Abstract. The detection and identification of the bad data of the power system plays an important role in dispatching personnel to grasp the running status of the power grid in real time. In order to overcome negative effects of random selection of clustering initial values of

Hybrid Adaptive Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem
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The finding of suitable values for all parameters of a Particle Swarm Optimization (PSO) algorithm is a crucial issue in the design of the algorithm . A trial and error procedure is the most common way to find the parameters but, also, a number of different procedures have

Crop Selection Algorithm -Technique for Price Prediction
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Abstract-As is known agriculture is intricate zone where consistently new data is aggregated at expanding rate. Vast segment of this learning is as composed records, substantial part coming about because of studies led on data and data gained in agriculture from clients.

Development of SOM algorithm for Relationship between Roles and Individuals Role in Rugby 2nd Reports: University Rugby teams analysis using Physical
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Abstract Victory or defeat in team sports depends on each players technique, physical strength, and psychological condition. It follows that team performance depends on the players adaptation to (suitability for) a certain role (position in the team) and the

Optimal sizing and sitting of distributed generation using Particle Swarm Optimization Guided Genetic Algorithm
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ABSTRACT This paper attempts to minimize losses and at the same time maintain acceptable voltage profiles in a radial distribution system. Distributed generation (DG) is a hot topic due to the ever increasing demands for electrical energy. Thus this paper optimally

Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis
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Abstract This paper presents an intelligent algorithm for heart diseases diagnosis using phonocardiogram (PCG). The proposed technique consists of four stages: Data acquisition, pre-processing, feature extraction and classification. PASCAL heart sound database is used

A novel iterative numerical algorithm for the solutions of systems of fuzzy initial value problems
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Abstract: Behaviors of many dynamic systems with uncertainty can be modelled effectively by systems of fuzzy differential equations. In this paper, we develop new numerical iterative method for solving systems of fuzzy initial value problems based on the reproducing kernel

A Locality-based Threading Algorithm for the Configuration-Interaction Method
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Abstract The Configuration Interaction (CI) method has been widely used to solve the non relativistic many-body Schrödinger equation. One great challenge to implementing it efficiently on manycore architectures is its immense memory and data movement

SQL Injection Attack Scanner Using Boyer-Moore String Matching Algorithm .
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Abstract: In this day and age, the proliferation of fast Internet and advanced technology, have contributed to the development of millions of web applications and the number is going to continue to increase every day. With their various purposes such as business promotions,

COMMISSIONING OF A PHOTON DOSE CALCULATION ALGORITHM BY COMPARISON WITH EXPERIMENTAL MEASUREMENTS
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The objective of this work was the commissioning of the Analytical Anisotropic Algorithm (AAA) photon dose calculation model implemented in the treatment planning system (TPS) Eclipse v. 13.6. 23 in Medical Physics department in Verona University hospital. The work

of seven stages supply chain management in electronic component inventory optimization for warehouse with economic load dispatch using genetic algorithm
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Abstract The purpose of the proposed study is to give a new dimension on warehouse with Economic Load Dispatch using genetic algorithm processes in Seven Stages-10 Member Supply Chain in Electronic component inventory optimization to describe the certain and

Buffons Needle Algorithm to Estimate π
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Abstract Buffons needle experiment was originally devised to get the value of π. With the advent of computers, Buffons needle algorithm has been used pedagogically as an example of Monte Carlo methods in introduction classes, and there are many Buffons

Real-time object detection in software with custom vector instructions and algorithm changes
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Abstract Real-time vision applications place stringent performance requirements on embedded systems. To meet performance requirements, embedded systems often require hardware implementations. This approach is unfavorable as hardware development can be

A fast converging algorithm for limited fronthaul C-RANs design: Power and throughput trade-off
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Abstract This paper considers the downlink transmission of cloud-radio access networks (C-RANs) with limited fronthaul capacity. We formulate a joint design of remote radio head (RRH) selection, RRH-user association, and transmit beamforming for simultaneously

The New Planning of Voltage Stability in the Restructured Power System by using Teaching and Learning Algorithm
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Abstract-Because of the complexity of the restructured power system, voltage stability is very important in order to review and provide the appropriate solution to keep the system in a steady state after any disturbance and be able to suggest and run the best possible solution

Novel Approach Based on Genetic Algorithm for Adaptive Resource Management in Software-Defined Networks
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Abstract: Resource management in Software-Defined Networking (SDN) is an important aspect in this brand new approach of networking. Implementing an efficient resource management with high Quality-of-Service (QoS) requirements like low delay or high

Face Detection and Recognition using Viola-Jones algorithm and Fusion of PCA and ANN
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Abstract The human face is a complicated multidimensional visual model and hence it is very difficult to develop a computational model for recognizing it. The paper presents a methodology for recognizing the human face based on the features derived from the image.

An Improved Control Algorithm for Grid-Connected Cascaded H-bridge Photovoltaic Inverters under Asymmetric Operating Conditions
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Abstract-In this paper, a single-stage cascaded H-bridge (CHB) inverter is presented for grid connected photovoltaic systems. The CHB inverter has separate DC links and allows individual control of photovoltaic (PV) arrays. The conversion efficiency is high and the

A Fast Gain Calibration Algorithm for Beam Position Monitoring at Taiwan Photon Source
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Abstract A stable, reliable and well-calibrated beam position monitor (BPM) system is essential for the safe and precise operation of accelerators. The BPM system not only determines accelerator parameters, such as Twiss parameters, but also helps to avoid

A polynomial algorithm for a continuous bilevel knapsack problem
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Abstract In this note, we analyze a bilevel interdiction problem, where the followers program is a parametrized continuous knapsack. Based on the structure of the problem and an inverse optimization strategy, we propose for its solution an algorithm with worst-case

Improving an Automated Aerosol Optical Depth Algorithm
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ABSTRACT Over the past decade, a network of Multifilter Rotating Shadowband Radiometers (MFRSRs) has been monitoring aerosol properties across the nation. Data collected by the MFRSRs could improve climate models, characterize weather events, and

An Improved Approximation Algorithm for the st Path Movement Problem
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ABSTRACT This paper considers a movement problem that minimizes the maximum movement of pebbles on a graph to form a path from source vertex s to destination vertex t. The best known algorithm for this problem is a 7-approximation algorithm developed by

GPU Multisplit: an extended study of a parallel algorithm
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1This paper is an extended version of initial results published at PPoPP 2016 [3]. The source code is available at https://github. com/owensgroup/GpuMultisplit. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted A 3 2-approximation algorithm for tree augmentation via chvátal-gomory cuts
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There are two main ingredients in this talk:(i) the weighted tree augmentation problem (WTAP), a fundamental network design problem, for which one can derive a factor-2 approximation algorithm in many different ways from known results, but at the same time no

A Multi-Center Prospective Study to Validate an Algorithm Using Urine and Plasma Biomarkers for Predicting Gleason≥ 3+ 4 Prostate Cancer on Biopsy
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Abstract Background: Unnecessary biopsies and overdiagnosis of prostate cancer (PCa) remain a serious healthcare problem. We have previously shown that urine-and plasma based prostate-specific biomarkers when combined can predict high grade prostate cancer

Sparse Encoded Matrix based Steganography algorithm
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Abstract-Image steganography is a field of steganography where images are used to hide information. Nowadays with the increasing lack of security online it is important to have means to make our data safe. In this paper we propose a method to increase the security of

Multi criteria Decision Analysis Algorithm based Optimal Selection of PV Panel for Grid-tie PV Electricity Generation System in context of Dhaka, Bangladesh
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Abstract: Solar electricity from photovoltaic (PV) panel is the important source of renewable energy and it is being popular all over the world due to enhancement of solar PV technology. There are sorts of PV panels having individually different solar performance

Intrusion Detection System for NSL-KDD Data Set using Vectorised Fitness Function in Genetic Algorithm
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Abstract With rapid increase in the use of network computers over last few decades, there has been increase in many different types of network attacks by intruders. To detect different network attacks, Genetic Algorithm (GA) based Intrusion Detection System (IDS) is employed

A parallel genetic algorithm for continuous and pattern-free heliostat field optimization
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Abstract The heliostat field of a solar power tower system, considering both its deployment cost and potential energy loss at operation, must be carefully designed. This procedure implies facing a complex continuous, constrained and large-scale optimization problem. Procalcitonin-Guided Antimicrobial Therapy All About the Algorithm
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To the EditorWith great interest we read the article by Bloos and colleagues1 in a recent issue of JAMA Internal Medicine. They included 1089 patients with severe sepsis and septic shock in 33 intensive care units across Germany in a multicenter, randomized, clinical, 2× 2

Multiscale Retinex Algorithm with tuned parameter by Particle Swarm Optimization
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Abstract Multiscale retinex is a luminance perceptual algorithm . It is widely used in image enhancement. The multiscale retinex theory thickly on parameters such as Gaussian surround space constants, the number of scale gain and offset. To get the finest effect, the

Comparison between Speed Control DC Motor Using Genetic Algorithm and PSO-PID Algorithm
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ABSTRACT DC motor speed control in this paper genetic algorithm fed with PID controller and particle swarm optimization technique has been compared. The application of particle swarm optimization for adjusting the gains of proportional-integral-derivative (PID) controller

Failed supraglottic airway: an algorithm for suboptimally placed supraglottic airway devices based on videolaryngoscopy
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Anaesthetists would not accept malpositioned tracheal tubes resulting in leak, inadequate ventilation, high airway pressures, or one-sided lung ventilation. Yet it is our impression that many, if not the majority, of surgeries are conducted with blindly placed and suboptimally

Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining.
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Abstract: Though many cluster ensemble approaches came forward as a potential and dominant method for enhancing the robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases generate a final

An Artificial Neural Network algorithm to solve third-order Emden-Fowler type problems
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Abstract In this article we suggest, the hybrid algorithm based on Bessel polynomials and Artificial Neural Network (BeNN) to solve non-linear Emden-Fowler type of differential equations. The problems with singular point at x= 0 which have the second order of initial

A Solution Generator Algorithm for Decision Making based Automated Negotiation in the Construction Domain
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Abstract In this paper, we present our work-in-progress of a proposed framework for automated negotiation in the construction domain. The proposed framework enables software agents to conduct negotiations and autonomously make value-based decisions. Methods We therefore would like to share our experience of this unique encounter. A group of type 1 diabetes teenagers (n= 38, 14 20 years old), initiating PLGM system (MiniMed 640G™, Medtronic, Northridge, CA, USA), a system that suspends insulin infusion when

SMALL ANIMAL IGRT SPECIAL FEATURE: FULL PAPER A kernel-based dose calculation algorithm for kV photon beams with explicit handling of energy and
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Objective: Mimicking state-of-the-art patient radiotherapy with high-precision irradiators for small animals is expected to advance the understanding of dose effect relationships and radiobiology in general. We work on the implementation of intensity-modulated radiotherapy-

Version 2 of the IASI NH 3 neural network retrieval algorithm ; near-real time and reanalysed datasets
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Abstract. Recently, Whitburn et al.(2016) presented a neural network-based algorithm for retrieving atmospheric ammonia (NH3) columns from IASI satellite observations. In the past year, several improvements have been introduced and the resulting new baseline version,

A new algorithm for a fast testing and sorting system applied to battery clustering.
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Abstract Battery clustering is to sort out homogeneous battery cells to form a battery pack with high uniformity, which is of great importance to prolong the cycle life of the lithium-ion battery. The traditional method for battery clustering is to compare the charge and discharge

Draft SP 800-67 Rev. 2, Recommendation for Triple Data Encryption Algorithm (TDEA) Block Cipher
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Abstract This publication specifies the Triple Data Encryption Algorithm (TDEA), including its primary component cryptographic engine, the Data Encryption Algorithm (DEA). TDEA is intended to be used with a Special Publication (SP) 800-38-series-compliant mode of

Generating Long-Term Trading System Rules Using a Genetic Algorithm Based on Analyzing Historical Data
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Abstract In current times, trading success depends on choosing a correct strategy. Algorithmic trading is often based on technical analysis-an approach where the values of one or several technical indicators are translated into buy or sell signals. Thus, every traders

Reducing Losses in a Deregulated Power System with Teaching Learning Based Optimization Algorithm
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Abstract-The robust Newton Raphson method is suggested to solve the power flow equations. Newton power flow algorithms do not automatically minimize objective function such as real power losses. Hence, this paper presents teaching learning based optimization

A Second-Order Path-Following Algorithm for Unconstrained Convex Optimization
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Abstract We present more details of the minimal-norm path following algorithm for unconstrained smooth convex optimization described in the lecture note of CME307 and MS&E311 [10]. Iterative optimization algorithms have been modeled as following certain

A FUZZY HYBRID GA-PSO ALGORITHM FOR MULTI-OBJECTIVE AGV SCHEDULING IN FMS
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Abstract An automated guided vehicle (AGV) is a mobile robot with remarkable industrial applicability for transporting materials within a manufacturing facility or a warehouse. AGV scheduling refers to the process of allocating AGVs to tasks, taking into account the cost and

Identifying Lump Size in Brain MRI using Hierarchical Mean Shift Algorithm
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Abstract At the present scenario, identifying the brain tumor in the early stage using Magnetic Resonance Imaging (MRI) has become a popular research area. In children, brain tumors are the cause of one-quarter of all cancer deaths. Nowadays, cancer has become a Abstract. Engineers and architects are now turning to use computational aids in order to analyze and solve complex design problems. Most of these problems can be handled by techniques that exploit Evolutionary Computation (EC). However existing EC techniques are

Fish School Search Algorithm for Constrained Optimization
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Abstract In this work we investigate the effectiveness of the application of niching able swarm metaheuristic approaches in order to solve constrained optimization problems. Sub swarms are used in order to allow the achievement of many feasible regions to be exploited

An Exact Node-Merging Algorithm for the Single Machine Total Tardiness Problem: Experimental Considerations
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The design of exact exponential algorithms with worst-case running time guarantee for NP hard problems has always been a challenging issue. For NP-hard scheduling problems, the results are particularly limited (see [5]). Here, we tackle the single machine total tardiness

An Algorithm and User Study for Teaching Bilateral Manipulation via Iterated Best Response Demonstrations
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Abstract Human demonstrations can be valuable for teaching robots to perform manipulation and coordination tasks. However, it can be difficult for human supervisors to provide demonstrations for multilateral (multi-arm) tasks, which require divided attention. In

A Routing Algorithm via Constructing the Weighted Minimum Connected Dominating Set in Mobile Ad-hoc Network
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Mobile ad-hoc network (MANET) combines mobile communication and computer network which consists of wireless nodes, which do not rely on a predefined infrastructure [1] but can provide an instant and distributed peer-to-peer ad hoc communication [2]. In a MANET, two

Different Scheduling Algorithm in Cloud Computing: A Survey
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Abstract: Cloud computing is a rising technology in distributed computing which encourage pay per show according to client summon and prerequisite. Cloud comprises of an arrangement of the virtual machine which incorporates both computational and storage

Impact of a commercial 3D OSEM reconstruction algorithm on the 177Lu activity quantification of SPECT/CT imaging in a Molecular Radiotherapy trial
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Abstract The purpose of this study was to investigate the influence of the Ordered Subsets Expectation Maximization (OSEM) reconstruction updates implemented in the 177Lu SPECT/CT imaging processing in molecular radiotherapy. A NEMA IEC Body PhantomTM

Algorithm Theoretical Basis Document: Level 1 Processing
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The sub-millimetre radiometer (SMR) onboard the Odin satellite performs limb sounding measurements of the atmosphere. The basic output of Odin/SMR is spectra in different frequency bands, mainly within the 486 504GHz and 541 581GHz region. After calibration,

HSEDA: A Heuristic Selection Approach Based on Estimation of Distribution Algorithm for the Travelling Thief Problem
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ABSTRACT Hyper-heuristics are high-level search techniques which improve the performance of heuristics operating at a higher heuristic level. Usually, these techniques automatically generate or select new simpler components based on the feedback received

The contribution of clinical assessments to the diagnostic algorithm of pulmonary embolism
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Abstract Background. Pulmonary thromboembolism (PE) is a major disease in respiratory emergencies. Thoracic CT angiography (CTA) is an important method of visualizing PE. Because of the high radiation and contrast exposure, the method should be performed

An Image Processing algorithm for pest detection
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Abstract: Pest infestation is the major problem facing by our farmers in agricultural field. This causes huge damage to food crops. In order to control pest infestation farmers use pesticides. Excessive use of pesticides is dangerous to animals, plants and also to human

Operation Sequencing and Machining Parameter Selection in CAPP for Cylindrical Part using Hybrid Feature Based Genetic Algorithm and Expert System
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Abstract-Computer-Aided Process Planning (CAPP) is an important interface between Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) in computerintegrated manufacturing environment. Process planning is concerned with the Abstract Glacial acceleration is a main source of uncertainty in sea-level-change assessment. Measurement of ice-surface heights with a spatial and temporal resolution that not only allows elevation-change calculation, but also captures ice-surface morphology and

ARTIFICIAL BEE COLONY ALGORITHM FOR PROFIT BASED UNIT COMMITMENT USING MODIFIED PRE-PREPARED POWER DEMAND TABLE
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Abstract-The electric power industry has been experiencing a procedure of restructuring since the nineties decade. The restructuring process of electrical power system specifies the splitting of vertically integrated utilities to generation, transmission and distribution

Predicting optimal path for goods delivery to fair price shops in India using Hierarchical Intelligent Water Drops Algorithm
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Abstract Designing a smart system for delivering goods to various fairprice shops effectively is one of the major goals in the mission of smart city development in India. In this paper, the smart city environment is treated as a distributed environment for carrying goods across

A PARALLEL ALGORITHM FOR THE SOLUTION OF LARGE-SCALE NONCONFORMING FLUID-STRUCTURE INTERACTION PROBLEMS IN
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Abstract In this work we address the numerical solution of large scale fluid-structure interaction problems when nonconforming grids and/or nonconforming finite elements discretizations are used at the interface separating the fluid and structure physical domains.

Combining Two Local Searches with Crossover: An E cient Hybrid Algorithm for the Traveling Salesman Problem
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ABSTRACT The Traveling Salesman Problem (TSP) is one of the most wellknown optimization problems. Ejection Chain Methods (ECM) and the Lin-Kernighan (LK) heuristic are the state-of-art local search (LS) algorithms for solving the TSP. Multi-Neighborhood An implicit meshless Material Point Method algorithm
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Traditional MPM algorithms use a fixed Eulerian background grid, where the finite element calculation is performed, and a set of moving Lagrangian material points to store the historical variables throughout the calculation. The meshless MPM algorithm presented in

A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins
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Abstract The interval join is a basic operation that finds application in temporal, spatial, and uncertain databases. Although a number of centralized and distributed algorithms have been proposed for the efficient evaluation of interval joins, classic plane sweep approaches

An Improved DPA Attack on DES with Forth and Back Random Round Algorithm .
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Abstract The power leakage problems of smart card chip during the process of DES encryption are analyzed, we propose two attack algorithms on DES with forth and back random round algorithm respectively, include the accumulative attack algorithm and

A High Order Perturbation of Surfaces Algorithm for the Simulation of Localized Surface Plasmon Resonances in Two Dimensions
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Abstract The capability of simulating scattering returns of electromagnetic radiation from bounded obstacles is of overwhelming importance to scientists and engineers. Furthermore, such simulations must be of both surpassing accuracy and high fidelity for many applications

Visual Detection of Stream Cipher Sequences on ZUC Algorithm
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With the rapid development of information technology, it plays an important role in modern life and promotes the continuous progress of human civilization. However, as the information technology is more and more convenient for our life. More sensitive information is also

An automatic adaptive importance sampling algorithm for molecular dynamics in reaction coordinates
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Abstract In this article we propose an adaptive importance sampling scheme for dynamical quantities of high dimensional complex systems which are metastable. The main idea of this article is to combine a method coming from Molecular Dynamics Simulation, Metadynamics,

Extending Loom: A Fast, Non-parametric Bayesian Machine Learning Algorithm
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Abstract Loom is a scalable machine learning algorithm that finds meaning in large, high dimensional datasets. Loom infers a latent structure over tabular datasets ranging from tens of rows to millions of rows. At its core, the Loom algorithm is built on Bayesian inference in a

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