ENGINEERING RESEARCH PAPERS

Algorithm IEEE PAPER 2016




A Review on Optimization with Ant Colony Algorithm
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Abstract–Ant colony optimization (ACO) is an algorithm based on the behavior of the real ants in finding the shortest path from a source to the food. It utilizes the behavior of the real ants while searching for the food. It has been observed that the ants deposit a certain

aracne. networks, a data package containing gene regulatory networks assembled from TCGA data by the ARACNe algorithm
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ARACNe networks This package contains 24 Mutual Information-based networks assembled by ARACNe-AP [1] with default parameters (MI p-value= 10- 8, 100 bootstraps and permutation seed= 1). ARACNe is a network inference algorithm based on an

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm
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Abstract In this paper we provide improved guarantees for streaming principal component analysis (PCA). Given A1,, An d sampled independently from distributions satisfying E [Ai]= S for S 0, we present an O (d)-space linear-time single-pass streaming algorithm

An O (nm) time algorithm for finding the min length directed cycle in a graph
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Abstract In this paper, we introduce an O (nm) time algorithm to determine the minimum length directed cycle in a directed network with n nodes and m arcs and with no negative length directed cycles. This result improves upon the previous best time bound of O (nm+

Toward an assessment algorithm for evaluating online collaboration to promote deep and useful understanding of conceptual material
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Abstract: I have taught and conducted research in online learning for a number of years. I currently teach an online class (Human Abilities in Learning, aka HAL Online) in which undergraduates study conceptual material about the science of learning, then deepen

Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM (ABC) algorithm
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Abstract This essay illustrates some recent developments to the DiffeRential Evolution Adaptive Metropolis (DREAM) MATLAB toolbox of Vrugt (2016a) to delineate and sample the behavioral solution space of set-theoretic likelihood functions used within the GLUE (

Firedec: a two-channel finite-resolution image deconvolution algorithm
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Abstract We present a two-channel deconvolution method that decomposes images into a parametric point-source channel and a pixelized extended-source channel. Based on the central idea of the deconvolution algorithm proposed

A TDOA Localization Algorithm Based on Sequential Quadratic Programming
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Abstract. For linear equation models in the time difference of arrival (TDOA) localization, a sequential-quadratic-programming-based localization algorithm was proposed. In the algorithm, the constraints on parameters to be estimated, the first-order error in matrix and

An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
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Page 1. JMLR: Workshop and Conference Proceedings vol 49:1–5, 2016 An algorithm with nearly optimal pseudo-regret Abstract We present an algorithm that achieves almost optimal pseudo-regret bounds against adversarial and stochastic bandits.

Davison C, Donaldson C, Herholz K, O'Brien JT. An evidence based algorithmfor the utility of FDG-PET for diagnosing Alzheimer's disease according to
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An evidence based algorithm for the utility of FDG-PET for diagnosing Alzheimer's disease according to 04 June 2016 Page 2. An evidence based algorithm for the utility of FDG-PET for diagnosing AD according to presence of medial temporal lobe atrophy

An Efficient Algorithm for Non-Interactive Differential Privacy
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ABSTRACT Differential Privacy is one of the state of the art privacy models for publishing data which formally guarantees individual privacy. However Differential Privacy does not promise the released data will have sufficient utility for further analysis. To publish data

Brain Tumor Detection Based on Canny Edge Detection Algorithm and it's area calculation
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ABSTRACT: In this project, a method for detecting the brain tumor is described. Generally, the structure of the brain can be seen with the help of CT or MRI scan. During the earlier few years, MRI scanning place an important role in the medical research field. Image

Differential Search Algorithm Based Edge Detection
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ABSTRACT: In this paper, a new method has been presented for the extraction of edge information by using Differential Search Optimization Algorithm. The proposed method is based on using a new heuristic image thresholding method for edge detection. The

A Branch-and-Bound Algorithm for Bi-Objective Problems
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Abstract An improved discarding test for a branch-and-bound algorithm for box-constrained bi-objective optimization problems is presented. The aim of the algorithm is to compute a covering of all global optimal solutions. We introduce the algorithm which uses selection,

Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm
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Abstract Divergent thinking (DT) tests are useful for the assessment of creative potentials. This article reports the semantics-based algorithmic (SBA) method for assessing DT. This algorithm is fully automated: Examinees receive DT questions on a computer or mobile

The Inventory Replenishment Planning and Staggering Problem: An EvolutionaryAlgorithm
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ABSTRACT This paper is the first one to suggest formulating the inventory replenishment problem as a bi-objective decision problem where, in addition to minimizing the sum of order and inventory holding costs, we should minimize the required storage space. Also, it

Retrieval of Optical Constant and Particle Size Distribution of Particulate Media Using the PSO-Based Neural Network Algorithm
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Abstract An improved neural network algorithm was proposed and applied to the inverse radiative problems. A multi-strategy particle swarm optimization was applied to improve the performance of the back propagation multi-layer feed-forward neural network algorithm.

Modeling and Simulation of Routing Packet Using Dijkstra Algorithm to Achieve the Shortest Routing Path
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Abstract: For a large number of interconnected autonomous systems consisting of a distinct domain to communicate to different nodes to forward information, routing is a means of doing that, but in order to determine the shortest routing part we need to examine and

A new stable election-based routing algorithm to preserve aliveness and energy in fog-supported wireless sensor networks
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Abstract:One of the current key challenges in wireless sensor networks is the development of routing protocols that provide stable cluster-head election, while prolonging network lifetime by saving energy. In this contribution, a new Stable Election Protocol (SEP),

An Efficient Skew Estimation Technique for Scanned Documents: An Application of Piece-wise Painting Algorithm
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Abstract In this paper, an efficient skew estimation technique based on iterative employment of the Piece-wise Painting Algorithm (PPA) on document images is presented. The PPA is initially employed on the document image in both horizontal and vertical directions to

Improved PSO Algorithm based Optimal Operation in Power Systems Integrating Solar and Wind Energy Sources
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Abstract This paper proposes an improved particle swarm optimization (PSO) algorithm for optimal operation of a power system including the solar and wind energy sources. The algorithm is to minimize operating costs of the hybrid power system. The proposed PSO

A Comparison of the L2 Minimum Distance Estimator and the EM-Algorithmwhen Fitting k-Component Univariate Normal Mixtures
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An Online Algorithm for Task Offloading in Heterogeneous Mobile Clouds
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ABSTRACT In this paper, we address mobile code offloading and scheduling problem as an optimization problem in a heterogeneous mobile cloud environment. We propose a context- aware mixed integer programming formulation for scheduling mobile tasks on the local

Magnifying endoscopy simple diagnostic algorithm for early gastric cancer (MESDA-G)
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Gastric cancer is the third leading cause of cancer death worldwide. Early detection and accurate diagnosis of mucosal cancer is desirable in order to achieve decreased mortality; cause-specific survival of patients with early gastric cancer is reported to exceed 95%.

State-based and self-adapting Algorithm for Condition Monitoring
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Abstract Condition Monitoring and Maintenance prediction are permanent demands of state- of-the-art machine tools. Their IT-infrastructure including drive control systems and specific sensors deliver extensive amounts of data for monitoring. However to combine and link

Side Lobe Level Reduction in Circular Antenna Array Using DE Algorithm
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Abstract-In this paper, we make use of the differential evolution algorithm in order to reduce the side lobe level in a circular antenna array. The differential evolution algorithm uses iteration method in order to get the best required solution. The algorithm is loaded using

On convergence of model parallel proximal gradient algorithm for stale synchronous parallel system
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Abstract With ever growing data volume and model size, an error-tolerant, communication efficient, yet versatile parallel algorithm has become a vital part for the success of many large-scale applications. In this work we propose msPG, an extension of the flexible

Research of Performance of Distributed Platforms Based on ClusteringAlgorithm.
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Abstract: With the deep development and application of Internet technology, data need to be processed more and more, when dealing with large amounts of data. Spark is a versatile high-performance and parallel computing framework, which can be applied to data mining

K-mean and EM Clustering algorithm using attendance performance improvement Primary school Student
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ABSTRACT Based on the clustering methods such as centroid based, distribution based and density based clustering. Cluster includes groups in with small distance among the cluster members. The performance of student s multilevel of optimization formulated by

Annotating Search Results from Web Databases using Alignment algorithm different Annotators.
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Abstract-The number of web databases have become web assessible through search interfaces which is in HTML form. The data units which are returned from the underlying databases are encoded to the result pages dynamically for human browsing. The

Matching Algorithm Based on Semantic Similarity of Service Requirement Ontology for CAE Simulation in Cloud Platform
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Abstract When Cloud Platform for Computer Aided Engineering Simulation (CPCAES) are developed to use Service-Oriented Architecture (SOA), on the one hand, it's necessary to accurately express the service requirements of users, on the other hand it's need to

An improvised algorithm for automatic shot segmentation and summarization
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Abstract-The video shot boundary detection (SBD) is a region, where many practices and techniques have been suggested and have requested to perform consistently on the videos like talk shows, different sports events news telecast. Large videos like movies have a

Energy Efficient Clustering Algorithm for Decreasing Energy Consumption and Delay in Wireless Sensor Networks (WSN)
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ABSTRACT: In recent years, there has been increasing research interest in Wireless Sensor Networks (WSNs). WSN consist of small nodes with sensing, processing and wireless communications capabilities. Wireless Sensor network's key issue is developing energy-

Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm
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Abstract This paper is based on covariance and expected return, building portfolio risk optimization model. Using Genetic Algorithm and Quadratic Programming, three securities portfolio Optimization model is resolved, and we find that Genetic Algorithm having priority

Optimal Generation Rescheduling of Power Systems with Renewable Energy Sources Using a Dynamic PSO Algorithm
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Abstract: This paper proposes a dynamic particle swarm optimization (PSO) algorithm for optimal generation rescheduling of a power system including renewable energy sources such as the solar and wind energy sources. The algorithm is to minimize total operating

Wavelet Based Emotion Recognition Using RBF Algorithm
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Abstract: The emergence of novel technologies such as virtual reality, augmented reality, and wearable computers has led to an increasing amount of research in human-computer systems. With multiple source of human information a computer can actually take a look

A branch and bound algorithm to minimize the single machine maximum tardiness problem under effects of learning and deterioration with setup times
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Abstract This paper sheds light on minimizing the maximum tardiness with processing and setup times under both learning effect and deterioration. In this paper, all the jobs have processing and setup times under effects of learning and deterioration. By the effects of

Fast algorithm for optimal graph-Laplacian based 3D image segmentation
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Abstract. In this paper we propose an iterative steepest-descent-type algorithm that is observed to converge towards the exact solution of the l0 discrete optimization problem, related to graph-Laplacian based image segmentation. Such an algorithm allows for

Research of Association Rules Algorithm in Data Mining
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Abstract With the rapid development of information technology, the data is becoming more and more large, the data mining technology has been applied to many fields in the life. In view of the existing data mining algorithms complexity is too high, the execution time too

APPLICATION OF SELF ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHMFOR OPTIMAL PLACEMENT AND SIZING OF RENEWABLE DG SOURCES IN
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ABSTRACT-In recent years, the renewable energy Distributed Generation (DG) sources like Photovoltaic, Wind farms gain more importance in the distribution network due to its fuel free, emission less operation and their system loss reduction capability, when they are placed

BRAIN TUMOR CLASSIFICATION USING GUSTAFSON KESSEL (GK) FUZZY CLUSTERING ALGORITHM
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Abstract: Medical imaging has becoming as a transpire discipline in diversified medical diagnosis. It plays a vital role in automatic detection, which bestows information about abnormalities for further treatment. The traditional approach of detecting MRI is based on

Spectral methods meet EM: a provably optimal algorithm for crowdsourcing
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Abstract Crowdsourcing is a popular paradigm for effectively collecting labels at low cost. The Dawid-Skene estimator has been widely used for inferring the true labels from the noisy labels provided by non-expert crowdsourcing workers. However, since the estimator

Master Algorithm
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Frank Abagnale Jr. is one of the most notorious con men in history. Abag nale, portrayed by Leonardo DiCaprio in Spielberg's movie Catch Me If You Can, forged millions of dollars' worth of checks, impersonated an attorney and a college instructor, and traveled the world

Comparative Analysis of Different Algorithm for Removal of High Density Salt and Pepper Noise
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Abstract. This paper proposes comparison of different types of non-linear filter like median- type noise detector and edge preserving method, new decision based algorithm (DBA), new algorithm with modified shear sorting method and modified decision based un-symmetric

Ergonomics Predicting whole-body vibration (WBV) exposure of Malaysian Army three-tonne truck drivers using Integrated Kurtosis-Based Algorithm for Z-Notch
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A New Framework for Kmeans Algorithm by Combining the Dispersions of Clusters
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Abstract: Kmeans algorithm performs clustering by using a partitioning method which partition data into different clusters in such a way that similar object are present in one cluster that is within cluster compactness and dissimilar objects are present in different

Power Converter Control Algorithm Design and Simulation for the NREL Next-Generation Drivetrain
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1. Executive Summary The National Renewable Energy Laboratory (NREL) and NREL Next- Generation Drivetrain Partners are developing a next-generation drivetrain (NGD) design as part of a Funding Opportunity Announcement award from the US Department of Energy.

A hybrid causal search algorithm for latent variable models
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Abstract Existing score-based causal model search algorithms such as GES (and a speeded up version, FGS) are asymptotically correct, fast, and reliable, but make the unrealistic assumption that the true causal graph does not contain any unmeasured confounders.

Clustering of the Values of a Response Variable and Simultaneous Covariate Selection Using a Stepwise Algorithm
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Abstract In supervised learning the number of values of a response variable can be very high. Grouping these values in a few clusters can be useful to perform accurate supervised classification analyses. On the other hand selecting relevant covariates is a crucial step to

Algorithm theoretical basis for Himawari-8 Cloud Mask Product
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Abstract This paper describes the algorithm theoretical basis for the Himawari-8 Cloud Mask Product (CMP) developed by the Meteorological Satellite Center. CMP is part of the Fundamental Cloud Product, which incorporates cloud phase, type and top altitude from

A Simplified Form of Block-Iterative Operator Splitting, and an AsynchronousAlgorithm Resembling the Multi-Block ADMM
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Abstract This paper develops what is essentially a simplified version of the block-iterative operator splitting method already proposed by the author and P. Combettes, but with more general initialization conditions. It then describes one way of implementing this algorithm

An Exact Algorithm for a Resource Allocation Problem in Mobile Wireless Communications
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Abstract We consider a challenging resource allocation problem arising in mobile wireless communications. The goal is to allocate the available channels and power in a so-called OFDMA system, in order to maximise the transmission rate, subject to quality of service (

An investigation of tuning a memetic algorithm for cross-domain search
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Abstract:Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metaheuristics for solving combinatorial optimisation problems. A common issue with the application of a memetic algorithm is determining the best initial setting for

A progressive barrier derivative-free trust-region algorithm for constrained optimization
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Abstract: We study derivative-free constrained optimization problems and propose a trust- region method that builds linear or quadratic models around the best feasible and and around the best infeasible solutions found so far. These models are optimized within a

Modeling and Simulation of Incremental Conductance Maximum Power Point Tracking (MPPT) Algorithm for Solar PV Array Using Boost Converter
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ABSTRACT The increasing demand for electricity and depleting fossil fuels made the solar Photovoltaic (PV) systems to be a better alternative for the future power requirements. Nowadays solar energy has great importance. Because it is easily available resource for

Solving Parity Games Using an Automata-Based Algorithm
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Abstract. Parity games are abstract infinite-round games that take an important role in formal verification. In the basic setting, these games are two-player, turn-based, and played under perfect information on directed graphs, whose nodes are labeled with priorities. The

of the Peyronie's Disease Questionnaire (PDQ) Re: Examining Postoperative Outcomes after Employing a Surgical Algorithm for Management of Peyronie's
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Editorial Comment: The PDQ is a validated questionnaire that has been painstakingly developed to measure the psychosexual consequences and treatment outcomes of Peyronie's disease interventions. Three subscales are included addressing 1)

Design FPGA-Based Fuzzification Algorithm for Model-free Control Techniques
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Abstract Many of fuzzy control applications require real-time operation; higher density programmable logic devices such as field programmable gate array (FPGA) can be used to integrate large amounts of logic in a single IC. This work, proposes a developed method to

The Detection of Extremely High and Low Expressed Genes by EGEFAlgorithm in Invasive Breast Cancer
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Abstract Invasive breast cancer is a heterogeneous disease. The analysis of one or a group of specific gene expression profiles may not be enough to understand molecular activities in cancer cells. Therefore, a method which gives us the opportunity to compare similar up

A Review Paper on Brief Introduction of Genetic Algorithm
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Abstract:n this paper we discuss about basics of genetic algorithm. Genetic algorithm is search and optimization technique that produce optimization of problem by using natural evolution. Genetic algorithm mainly depends on best chosen chromosomes from various

Why a new algorithm using high-sensitivity cardiac troponins for the rapid rule-out of NSTEMI is not adapted to routine practice
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A new algorithm for the rapid rule-out of non ST-segment elevation myocardial infarction (NSTEMI) has recently been recommended [1]. It is based on the use of some, but not all, high-sensitivity cardiac troponin (hs-cTn) assays, and allows an immediate or very early

A Branch-And-Price Algorithm for Scheduling Observations on a Telescope
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Abstract We address a parallel machine scheduling problem for which the objective is to maximize the weighted number of scheduled tasks, and with the special constraint that each task has a mandatory processing instant. This problem arises, in our case, to schedule a

Analysis of Improved Shortest Path First Algorithm (Ispfa) for Enhanced Interior Gateway Routing Protocol (Eigrp)
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Abstract: The world is experiencing rapid and tremendous growth in computer communication network technology. This technology provides the technical infrastructure, where routing protocols are used to transmit packets across the Internet. Routing protocols

AN EFFICIENT ASSOCIATION RULE BASED HIERARCHICAL ALGORITHM FOR TEXT CLUSTERING
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ABSTRACT In this modern era, the amount of information available has become too large. But are we getting useful information still remain a question. Text clustering is one of the techniques that helps organize information and hence obtain information in a more

Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm
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Abstract Blackbox optimization problems are often contaminated with numerical noise, and direct search methods such as the Mesh Adaptive Direct Search (MADS) algorithm may get stuck at solutions artificially created by the noise. We propose a way to smooth out the

A Multidisciplinary Management Algorithm of Acute Gastrointestinal Bleeding: A Quality Improvement Project
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Abstract Acute gastrointestinal (GI) bleeding is a common emergency condition requiring immediate medical attention and multidisciplinary team approach. We developed a management algorithm for acute GI bleeding in our hospital. Our preplanned acute GI

Alternating Criteria Search: A Parallel Large Neighborhood Search Algorithmfor Mixed Integer Programs
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Abstract We present a parallel large neighborhood search framework for finding high quality primal solutions for generic Mixed Integer Programs (MIPs). The approach simultaneously solves a large number of sub-MIPs with the dual objective of reducing infeasibility and

Optimization and Application of Single-point Crossover and Multi-offspring Genetic Algorithm
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Abstract Through researching the Single-point crossover and multi-offspring genetic algorithm, we find out the range of the offspring in the process of generation. It uses the shortest time and produces the least number of iterations. Then putting it into the

A derivative-free trust-region augmented Lagrangian algorithm
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Abstract We present a new derivative-free trust-region (DFTR) algorithm to solve general nonlinear constrained problems with the use of an augmented Lagrangian method. No derivatives are used, neither for the objective function nor for the constraints. An

Grid Frequency Support by Single-Phase Electric Vehicles: Fast Primary Control Enhanced by a Stabilizer Algorithm
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AbstractElectric vehicles are growing in popularity as a zero emission and efficient mode of transport against traditional internal combustion engine-based vehicles. Considerable as flexible distributed energy storage systems, by adjusting the battery charging process they

Effective Progressive Algorithm for Duplicate Detection on Large Dataset
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ABSTRACT Effective progressive algorithm for duplicate detection on large dataset is the process of detecting unwanted files in the document in very short time. It does not affect the file without any quality change and also it used for cleaning process. The main advantage

Signal Hunting Algorithm Based on Difference Grouping Mechanism in Sensor Network
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Abstract In order to solve such problems as the difficult realization of accurate positioning and multidimensional dynamic elastic range measurement and the poor reading of positioning data caches during the range measurement process in wireless sensor

Research on Application of Ant Colony Clustering Algorithm to Xinjiang Ethnic Groups' Evaluation System of Chinese Teaching
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Abstract With the continuous development of science and technology, computer technology and clustering technology of DM have become a part of the process of data analysis in this new era. How to use data mining technology to have better service for teaching evaluation

Numerical Solution of Fractional Second-Order System by Using Reproducing KernelAlgorithm
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Abstract: This study proposes numeric-analytic technique, called fractional reproducing kernel method (FRKM), for providing approximate solution of system of differential equation of fractional-order with appropriate initial conditions in Caputo sense. The solution

REVIEW PAPER ON MODIFIED FAST FFT ALGORITHM FOR OFDM BASED FUTURE WIRELESS COMMUNICATION SYSTEMS
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Abstract–The availability of spectrum and its efficient usage is of prime importance for any communication system. In this paper we are going to discuss the possibility and scope of future wireless communication system based on improved techniques by using FFT and

Identify the Microblogging Opinion Leaders Based on HITS-IMP Algorithm
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Abstract People who actively provide people with their own subjective comment on information in the process of microblogging transmission, and can influence others thought to a certain action, are named as the microblogging opinion leaders. Therefore it's very

A Polynomial Time Deterministic Algorithm for Identity Testing Read-Once Polynomials
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Abstract The polynomial identity testing problem, or PIT, asks how we can decide if a polynomial is equivalent to zero. A read-once polynomial (ROP) is a polynomial over some field that can be expressed with an arithmetic formula where each variable appears at