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检索条件"任意字段=5th International Conference on Fun with Algorithms"

共 812 条记录，以下是401-410 订阅

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Maximum Lateness Minimization on Two-Parallel Machine with a Non-availability Interval 5

Maximum Lateness Minimization on Two-Parallel Machine with a...

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5th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Alhadi, Gais Kacem, Imed Laroche, Pierre Osman, Izzeldin M. Univ Gezira Fac Math & Comp Sci Wad Madani Sudan Univ Lorraine LCOMS Lab F-57045 Metz France Sudan Univ Sci & Technol Khartoum Sudan

ISBN: (纸本)9781538650653

In this paper, we consider the two-parallel machine scheduling problem with a non-availability interval. We aim to minimize the maximum lateness when every job has a positive tail. We show that the problem has a constant polynomial approximation algorithm. We present a dynamic programming algorithm and we show that the problem has an FPTAS (Fully Polynomial Time Approximation Algorithm). the proposed FPTAS has a strongly polynomial running time. Finally, we present some numerical experiments and we analyze the obtained results.

关键词： Approximation algorithms Heuristic algorithms Dynamic programming Single machine scheduling Optimized production technology Schedules Complexity theory

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Height-Based Heuristics for Relocating Containers during Loading Operations 5

Height-Based Heuristics for Relocating Containers during Loa...

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5th international conference on Industrial Engineering and Applications (ICIEA)

作者： Yuan, Yifei Zhang, Canrong Huang, Ting Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China Longyan Univ Coll Informat Engn Longyan 364000 Peoples R China

ISBN: (纸本)9781538657485

In order to reduce operating time and cost, this paper studies the container relocation problem during loading operations, with the objective to minimize the total number of relocation movements. Given the retrieval order, this paper focuses on the best position for the relocated containers which are stacked immediately above the targeted one, so that the total relocation number will be minimized. A Brand-andbound algorithm is first proposed, and then a height-based heuristic algorithm (HH) is proposed to tackle large-scale instances. To further enhance the performance of the proposed HH, an improved algorithm (IHH) is proposed as well. Numerical experiments are conducted to compare the three proposed algorithms, and their superiority is also verified by comparing to the algorithm reported in the literature.

关键词： container relocation branch and bound heuristic algorithm

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Mobile Objects Control in three-Dimensional Area Using the Hybrid Decentralized Algorithm 5

Mobile Objects Control in Three-Dimensional Area Using the H...

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5th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Pshikhopov, V. Medvedev, M. Southern Fed Univ Dept Robot & Control Syst Taganrog 347900 Russia

ISBN: (纸本)9781538650653

the problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. the decision of the problem is carried out using a hybrid algorithm that combines the immediate reaction to the obstacles and the scheduling algorithms at the upper level. the reactive component is implemented on the basis of unstable modes, allowing to transform obstacles into repellers. the motion planning is based on heuristic analysis of the data received from the sensory systems and the clustering based on the Delaunay triangulation. the direction of the obstacles bypass and the position of the mobile object in the group are determined as a result of this analysis executing. the method of the trajectory correction by adding the component, generated by the dynamic system transforming into an unstable mode during the obstacles detection, into the upsetting control is proposed in the paper. the proposed algorithms can be implemented decentrally. the analysis of the proposed algorithms is considered and the numerical simulation is performed.

关键词： Trajectory Mathematical model Planning Robot kinematics

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Support Vector Machine of Wavelet Packet Spectral Features for Identification of Obstructive Sleep Apnea 5

Support Vector Machine of Wavelet Packet Spectral Features f...

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5th international conference on Electrical and Electronics Engineering (ICEEE)

作者： Al-Ratrout, Serein Hossen, Abdulnasir Zahra Coll Women Dept Informat Technol Muscat Oman Sultan Qaboos Univ Dept Elect & Comp Engn Commun & Informat Res Ctr Muscat Oman

ISBN: (纸本)9781538663929

Sleep apnea is a complete or partial cessation of breathing during sleep. Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders. the well-known reliable and standard diagnosis test used by specialized physicians is the polysomnographic sleep study. However, this test is complex and time consuming and expensive. therefore, a non-invasive technique applying signal-processing algorithms is of more benefits for identification of OSA patients from normal subjects. Any identification algorithm has two parts: feature extraction part and feature matching part. In this paper, the feature extraction part depends on the wavelet-packet decomposition technique of the Heart Rate Variability (HRV) signal. the feature matching part uses the support vector machine (SVM). the highest performance on MIT standard data is achieved by the linear support vector machine with 5 stages wavelet decomposition using db1 filters with specificity, sensitivity, and accuracy of 100%, 90% and 93.34%, respectively.

关键词： OSA identification HRV wavelet packet decomposition SVM

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Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually Impaired 5

Real-time Localization and Navigation in an Indoor Environme...

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5th international conference on Industrial Engineering and Applications (ICIEA)

作者： Ramesh, Kruthika Nagananda, S. N. Ramasangu, Hariharan Deshpande, Rohini MS Ramaiah Univ Appl Sci Bangalore Karnataka India

ISBN: (纸本)9781538657485

the aim of this research is to design an intelligent system that addresses the problem of real-time localization and navigation of visually impaired (VI) in an indoor environment using a monocular camera. Systems that have been developed so far for the VI use either many cameras (stereo and monocular) integrated with other sensors or use very complex algorithms that are computationally expensive. In this research work, a computationally less expensive integrated system has been proposed to combine imaging geometry, Visual Odometry (VO), Object Detection (OD) along with Distance-Depth (D-D) estimation algorithms for precise navigation and localization by utilizing a single monocular camera as the only sensor. the developed algorithm is tested for both standard Karlsruhe and indoor environment recorded datasets. Tests have been carried out in real-time using a smartphone camera that captures image data of the environment as the person moves and is sent over Wi-Fi for further processing to the MATLAB software model running on an Intel i7 processor. the algorithm provides accurate results on real-time navigation in the environment with an audio feedback about the person's location. the trajectory of the navigation is expressed in an arbitrary scale. Object detection based localization is accurate. the D-D estimation provides distance and depth measurements up to an accuracy of 94-98%.

关键词： visual odometry monocular camera optical flow KLT tracker visual SLAM image processing pattern recognition

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Stochastic Optimization Methods Based Robust Control for DC/DC Buck Converter 5

Stochastic Optimization Methods Based Robust Control for DC/...

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5th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Abderrezek, H. Ameur, A. Harmas, M. N. Elect Engn Dept Laghouat Algeria Univ Setif1 Dept Elect Engn Setif Algeria

ISBN: (纸本)9781538650653

this paper proposes an Adaptive Terminal Synergetic Control (ATSYC) as a control strategy for Buck DC-DC converter. A simple Adaptive synergetic control (ATSYC) technique for the buck converter that has a fixed switching frequency and zero steady state error. the responses of this controller is robust and its can be defined directly in the time domain. In addition, GA & PSO algorithms will be used to optimize controller parameters using an ITAE criterion. the proposed control scheme is evaluated in a simulation study of a buck converter indicating satisfactory overall performance with stability ensured through Lyapunov synthesis.

关键词： nonlinear control ATSYC swarm finite time GA PSO

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Multi-Dynamics Analysis of QRS Complex for Atrial Fibrillation Diagnosis 5

Multi-Dynamics Analysis of QRS Complex for Atrial Fibrillati...

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5th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Trardi, Y. Ananou, B. Haddi, Z. Ouladsine, M. Univ Toulon & Var Aix Marseille Univ CNRS LIS UMR 7020 Marseille France

ISBN: (纸本)9781538650653

this paper presents an effective atrial fibrillation (AF) diagnosis algorithm based on multi-dynamics analysis of QRS complex. the idea behind this approach is to produce a variety of heartbeat time series features employing several linear and nonlinear functions via different dynamics of the QRS complex signal. these extracted features from these dynamics will be connected through machine learning based algorithms such as Support Vector Machine (SVM) and Multiple Kernel Learning (MKL), to detect AF episode occurrences. the reported performances of these methods were evaluated on the Long-Term AF Database which includes 84 of 24-hour ECG recording. thereafter, each record was divided into consecutive intervals of one-minute segments to feed the classifier models. the obtained sensitivity, specificity and positive classification using SVM were 96.54%, 99.69%, and 99.62%, respectively, and for MKL they reached 95.47%, 99.89%, and 99.87%, respectively. therefore, these medical-oriented detectors can be clinically valuable to healthcare professional for screening AF pathology.

关键词： Kernel Support vector machines Time series analysis Classification algorithms Entropy Feature extraction Databases

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An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 5

An Modified Relax-and-fix Algorithm for the Multi-level Lot-...

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5th international conference on Industrial Engineering and Applications (ICIEA)

作者： Wei, Mingyuan Yuan, Yifei Zhang, Canrong Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China Tsinghua Univ Res Ctr Modern Logist Grad Sch Shenzhen Shenzhen 518055 Peoples R China

ISBN: (纸本)9781538657485

this paper considers the multi-level capacitated lot sizing problems, especially pays attention paid to the replace ability among items. We establish two nonlinear programming models for the problem: the inventory and lot-sizing model (ILSR) and the simplified facility location model (SFLR) based on different variable definitions with the objective to minimize the system-wide costs, including inventory-holding cost, backlog cost and machine setup cost. For small-scale problems, the commercial solver can solve the problems to optimality. For large-scale problems, we propose a modified relax-and-fix algorithm for exact algorithms encounters computational difficulty due to the NP-hardness of the problem. Numerical experiments are conducted to test the models and the designed algorithm, and the results show that the SFLR model performs better than the ILSR model and the designed algorithm works well.

关键词： Lot sizing Replaceable items Production planning Relax-and-fix

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Mitigating Vulnerabilities through Forecasting and Crime Trend Analysis 5

Mitigating Vulnerabilities through Forecasting and Crime Tre...

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5th international conference on Business and Industrial Research (ICBIR)

作者： Orong, Markdy Y. Sison, Ariel M. Hernandez, Alexander A. Misamis Univ Coll Comp Studies Ozamiz City Philippines Emilio Aguinaldo Coll Manila Philippines Technol Inst Philippines Coll Informat Technol Educ Manila Philippines

ISBN: (纸本)9781538652541

the study clustered the indexed crime data of the province of Misamis Occidental, Philippines and provided a prediction of its occurrence in the next five years. the study utilized the k-means clustering algorithm and Autoregressive Integrated Moving Average (ARIMA) model to cluster and forecast the indexed crime data respectively. Results showed that 3 of the indexed crime data were in the first group and five are in the second group. Moreover, rape, cattle rustling, physical injury, robbery, and theft showed an increasing pattern based on the forecasted data from 2015 to 2020. On the other hand, murder showed a decreased pattern based on the predicted data from 2015 to 2020. Homicide and carnapping showed the unpredictable behavior of forecasted data in each predicted year. Future research endeavors may utilize other clustering and forecasting algorithms and conduct a comparative study on the different results.

关键词： ARIMA Clustering Incidence Prevention Time Series

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Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 5

Some Methods for Measuring the Efficiency of Firms Utilizing...

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5th international conference on Industrial Engineering and Applications (ICIEA)

作者： Choi, Soobin Kim, Jaedong Lee, Hanjun Korea Inst Def Anal Ctr Def Resource Management 37 Hoegi Ro Seoul 02455 South Korea Hannam Univ Linton Sch Global Business Hannam Ro 70 Daejeon 306791 South Korea

ISBN: (纸本)9781538657485

In business or economic analysis, measuring the technical efficiency of firms (or production units) plays a key role in finding out causes of inefficiency and improving productivity. Until recently, most of the studies regarding this issue have focused on evaluating homogeneous firms operating with a same technology. However, very often, practitioners should compare firms classified into different groups which use different group technologies. In this paper, to compare the technical efficiency of firms in distinct groups, we develop models of aggregate production frontiers: convex hull frontier and optimal allocation frontier. Our methods present several important benefits. First, our methods do not require any prior assumption on the shape of the aggregate frontier and group frontiers. Second, based on convex optimization, our models measure the technical efficiency with efficient (fast) computation, using convex programming algorithms. third, our methods give the upper and lower bounds on the technical efficiency scores.

关键词： technical efficiency group technology aggregate production frontier input-output analysis convex optimization applications

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