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National Proceedings Power and Energy conference (PECon)

作者： Azziddin Mohamad Razali Norazelina Kamisman Jurifa Mat Lazi Norhazilina Bahari Wahidah Abd Halim Department of Power Electronics and Drives Universiti Teknikal Malaysia Melaka (UTeM) Melaka Malaysia

ISBN: (纸本)9781509025480

this paper presents the solution for odd and even number of switching angles of harmonic elimination pulse width modulation (HEPWM). HEPWM capable to eliminate low order harmonics of inverter output voltage by solving the transcendental equation of the switching angles. the optimum switching angles are calculated using differential evolution (DE) algorithm. DE is simple and effective algorithm. the calculated switching angles applied to the three-phase voltage source inverter (VSI) and harmonic performance of output voltage are examined using MATLAB/Simulink software. the Total harmonic Distortion (thD) of line to neutral of inverter is analyzed for different number of switching angles. the simulation result showed that the low order harmonics, namely 5th, 7th, 11th, 13th, 17th, 19th, 23th was eliminated individually by N=3,4,5,6,7 and 8.

关键词： Harmonic analysis Switches Sociology Statistics Inverters Pulse width modulation Linear programming

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Using a genetic algorithm and formal concept analysis to generate branch coverage test data automatically

Using a genetic algorithm and formal concept analysis to gen...

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IEEE international conference on Automated Software Engineering (ASE)

作者： S. Khor P. Grogono Department of Computer Science Concordia University Canada

Automatic test generators (ATGs) are an important support tool for large-scale software development. Contemporary ATGs include JTest that does white box testing down to the method level only and black box testing if a specification exists, and AETG that tests pairwise interactions among input variables. the first automatic test generation approaches were static, based on symbolic execution (Clarke, 1976). Korel suggested a dynamic approach to automatic test data generation using function minimization and directed search (Korel, 1990). A dynamic approach can handle array, pointer, function and other dynamic constructs more accurately than a static approach but it may also be more expensive since the program under test is executed repeatedly. Subsequent ATGs explored the use of genetic algorithms (Jones et al., 1996; Michael et al., 2001; Pargas et al., 1999) and simulated annealing (Tracey et al., 1998). these ATGs address the problem of producing test data for low level code coverage like statement, branch and condition/decision and depend on branch function (Korel, 1990) style instrumentation (Jones et al., 1996; Michael et al., 2001) and/or the program graph (Jones et al., 1996; Pargas et al., 1999). Unlike previous work, our ATG, called genet, produces test data for branch coverage with simpler instrumentation than branch functions, does not use program graphs, and is programming language independent, genet uses a genetic algorithm (GA) (Holland, 1975) to search for tests and formal concept analysis (FCA) (Ganter and Wille, 1999) to organize the relationships between tests and their execution traces. the combination of GA with FCA is novel. Further, genet extends the opportunistic approach of GADGET (Michael et al., 2001) by targeting several uncovered branches simultaneously. the relationships that genet learns provides useful insights for test selection, test maintenance and debugging

关键词： Genetic algorithms Algorithm design and analysis Automatic testing Instruments Software testing Large-scale systems programming Input variables Simulated annealing Computer languages

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Optimization of the Vehicle Routing Problem with Demand Responsive Transport Using the NSGA-II Algorithm

Optimization of the Vehicle Routing Problem with Demand Resp...

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IEEE international conference on Intelligent Transportation Systems

作者： Renan S. Mendes Elizabeth F. Wanner Joao F. M. Sarubbi Flavio V. C. Martins Programa de Pos-Graduacao em Modelagem Matematica e Computacional CEFET-MG Departamento de Computacao CEFET-MG

ISBN: (纸本)9781509018901

Demand Responsive Transport (DRT) systems emerge as an alternative to deal with the problem of variable demand, or even unpredictable, occurring in conventional urban transport systems. It can be seen in some practical situations such as public transport in rural areas, wherein in some situations, there is no way to predict demand. this paper addresses the Vehicle Routing Problem with Demand Responsive Transport (VRPDRT), a type of transport which enables customers to be taken to their destination like a taxi or minibus in order to reduce operating costs and to meet customer needs. A multiobjective approach is proposed to VRPDRT in which five different objective functions are used. these functions are aggregated in three new functions resulting in a three-objective formulation for VRPDRT. When using a three objective approach, that formulation allows a better understanding of the company and human perspectives while permitting to solve the resulting problem in an efficient way. the proposed three-objective optimization problem is solved using a random method of generating solutions and an algorithm considered state of the art, the Non-dominated Sorting Genetic Algorithm II (NSGA-II). the sets of solutions are compared using the Set Coverage Metric. the results show that the NSGA-II algorithm could obtain sets of solutions with better values for all objective functions used also called the non-dominated solutions set.

关键词： Vehicles Optimization Vehicle routing Linear programming Companies Mathematical model Vehicle routing Demand responsive transport linear programming vehicle Companies Mathematical Model Routing Problem Objective function state of the art Solutions stochastic approach

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A Mixed-Integer Linear programming Model for an Integrated Planting, Harvesting, and Procuring in Pickled Ginger Industry

A Mixed-Integer Linear Programming Model for an Integrated P...

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2012 IEEE 19th international conference on Industrial Engineering and Engineering Management(IE&EM 2012)

作者： A. Ritvirool A. Pantong Department of Industrial Engineering Naresuan University Department of Industrial Engineering University of Phayao Phayao Thailand

this paper addresses a production and procuring problem for fresh ginger rhizomes in a real-world pickled ginger industry. Planting and harvesting schedules affect fresh ginger rhizomes requirements for producing a pickled ginger. the management faces with the unbalance of fresh ginger rhizomes supply due to the lack of a decision support tool. Consequently, the requirements of the plant are not satisfied. A mixed-integer linear programming model has been developed for the problem to minimize the total cost, including cultivating cost, harvesting cost, inbound transportation cost, and purchasing cost. the numerical examples using the data from an industrial case study of pickled ginger plant are presented to illustrate how the proposed model could be applied to actual systems.

关键词： Ginger rhizomes, planting, harvesting, procuring, mixed-integer linear programming

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Research on Allocation of Resource in Manufacturing Grid Based on Bi-level programming

Research on Allocation of Resource in Manufacturing Grid Bas...

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2012 IEEE 19th international conference on Industrial Engineering and Engineering Management(IE&EM 2012)

作者： Xiang-bin ZHANG Zhi-xian WU College of Economics ＆ Management Nanjing University of Posts and Telecommunications

In order to make the manufacturing grid complete the manufacturing tasks and meet the market demand with low-cost and high-quality, the paper presents a resource allocation model based on bi-level programming. In this model intermediary service node and resource service node are taken as the two-layer of the decision interaction, the target of upper level is to minimize the cost of the total grid operation and the target of lower level is to maximize the benefits of every resource node. To achieve the minimal overall operating cost, the two layers pass parameters repeatedly to reach the optimal solution within the range of probabilities. Finally, the paper proves the validity of the model through a computational example. this model provides a new solution to optimize resource allocation of manufacturing grid.

关键词： Bi-level programming manufacturing grid optimal allocation of resources

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Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus

Fuzzy Inference System for Risk Evaluation in Gestational Di...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Carlos Salort Sánchez Suzanne Smyth Elizabeth Tully Joanna Griffin Luke Heaphy Niamh Redmond Fionnuala Breathnach Jan Baumbach Cristian Axenie Huawei German Research Center Munich Germany Royal College of Surgeons in Ireland Rotunda Hospital Dublin Ireland RCSI Royal College of Surgeons in Ireland Dublin Ireland Department of Research Rotunda Hospital Dublin Ireland Rotunda Hospital Dublin Ireland TUM School of Life Sciences Weihenstephan Technical University of Munich (TUM) Freising Germany

Remote monitoring health data analysis holds the potential to reduce pregnancy complications, improve patients' quality of life, enhance the efficiency of healthcare delivery and reduce healthcare costs. In this paper, we present a method based on fuzzy inference systems to monitor pregnancies complicated by gestational diabetes mellitus (GDM). the system is simple, fast, flexible and exploits domain expertise in assessing risk levels according to capillary glucose levels from women with GDM. We show that this approach generates an interpretable input, which is valuable in medical applications. To prove the capabilities of the system, we present prediction results from 50 real-world patients and show that the system obtains relevant glycaemic-control data comparable to current monitoring methods that rely on periodic face-to-face physician review. Our systems achieves 95% accuracy. Moreover, we show that the difference in predictions account for a more personalized treatment.

关键词： Fuzzy logic Diabetes Monitoring Hospitals Glucose Biomedical monitoring

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A balun transimpedance amplifier with adjustable gain for integrated SPO2 optic sensors

A balun transimpedance amplifier with adjustable gain for in...

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international conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： José Carvalho Luis B. Oliveira João P. Oliveira João Goes Manuel M. Silva CTS-UNINOVA and Faculty of Sciences and Technology (FCT) Universidade Nova de Lisboa Portugal INESC-ID Technical University of Lisbon Lisboa Portugal

the oxygen level in blood, usually referred as SPO 2 (Saturation of hemoglobin with oxygen as measured by pulseoximetry) is an essential medical information. Measuring the oxygen level of the human blood using non-intrusive techniques is a vital achievement in modern medicine. this can be performed by processing the infrared and red light transmitted by the patient's finger and received by a photoreceptor. Before being applied to an analog-to-digital converter (ADC), the incoming light has to be converted to a voltage and the range should be dynamically adjusted in order to use always the full input range of the ADC. Since the photoreceptor generates an output current, a transimpedance amplifier (TIA) with gain control is required. the two-stage TIA proposed in this paper, uses a regulated common-gate in first stage employing noise cancellation and balun operation using an additional CS stage, while the adjustable gain is implemented in the second-stage, which is based on an intrinsically noiseless MOS parametric amplifier (MPA). this MPA operates in the discrete-time domain, thus eliminating the need of an input sample-and-hold (S/H) block in the ADC. the proposed circuit has been designed in a 130 nm digital 1.2 V CMOS technology. the electrical simulations show that the overall power consumption is lower than 250 μ W and input referred noise power density is extremely low.

关键词： Capacitance logic gates Blood Noise cancellation CMOS integrated circuits Photodiodes

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A data-driven approach for pedestrian intention estimation

A data-driven approach for pedestrian intention estimation

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IEEE international conference on Intelligent Transportation Systems

作者： Benjamin Volz Karsten Behrendt Holger Mielenz Igor Gilitschenski Roland Siegwart Juan Nieto Corporate Research Robert Bosch GmbH Chassis Systems Control Robert Bosch LLC Autonomous Systems Lab ETH Zurich

ISBN: (纸本)9781509018901

In the context of future urban automated driving many important problems remain unsolved. A critical one is the analysis and prediction of pedestrian movements around urban roads. Especially the analysis of non-critical situations has not received much attention in the past. this paper focuses on analyzing and predicting movements of pedestrians approaching crosswalks, a very crucial pedestrian-vehicle interaction in urban scenarios. In our previous work, we analyzed the performance of a data-driven Support Vector Machine-based architecture, and the relevance of specific features to infer pedestrian crossing intentions. In this paper, we will use our previous results as baseline to compare against an architecture based on neural networks for time-series classification. In particular we analyze the effectiveness of dense and Long-Short-Term-Memory networks. Furthermore, we will be looking into enhancing our feature vectors by adding LiDAR based images to the classification process. Additionally the evaluation provides an estimate for the temporal prediction horizon. the approaches presented are validated with real world trajectories recorded in Germany. Our results show an average accuracy improvement of 10 - 20% with respect to our previous Support Vector Machine-based approach.

关键词： Trajectory Support vector machines Automobiles Biological neural networks logic gates Laser radar

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Least congested channel recommendation for uncoordinated access point

Least congested channel recommendation for uncoordinated acc...

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international conference on Advanced Communication Technology (ICACT)

作者： Ahmad Tajuddin Samsudin Norman Fadhil Idham Muhammad Awang Ibrahim Awang Daud Syaiful Nizam Yahya Khalil Huzairi Ahmad TM Research & Development Sdn. Bhd. Cyberjaya Malaysia

ISBN: (纸本)9781509048922

When Telekom Malaysia Berhad (TM) introduces the Wi-Fi residential gateway to its broadband customers, it faces issues related to Wi-Fi signal strength that caused degraded Wi-Fi network performance. the convenience of wireless connectivity has increased the usage of wireless devices such as mobile phones, smart TVs, tablets, wireless speakers and CCTV. the problem with wireless residential gateway arises when there are multiple access points nearby which uses the same channel or overlapping channel which caused signal interferences. Even when the signal strength is high, interference from other nearby access points which uses the same channel or overlapping channel can still cause signal interference. When an access point is using channel that is congested; channels that are used by other access points or channels that overlap with other channels that is used by other access points, network performance in terms of data transmission is degraded. In this paper, we propose a new mechanism to find the best channel in a congested channel environment. the scheme can run on client devices such as wireless laptops, tablets and mobile phones. Once the scheme has suggested the least congested channel, the TM customer will be able to switch to that channel - thus reducing signal interference and improving network performance. Results from tests show that our algorithm to find the least congested channel performed better than auto-channel selection implemented by 10 different residential gateway models provided by TM to the customer.

关键词： Wireless communication Interference Wireless fidelity Internet Performance evaluation logic gates Switches

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Embedding fuzzy logic in content based image retrieval

Annual Conference of the North American Fuzzy Information Pr...

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Annual conference of the North American Fuzzy Information Processing Society - NAFIPS 2000年 85-89页

作者： Vertan, Constantin Boujemaa, Nozha INRIA Rocquancourt Le Chesnay France

this paper focuses on the possible embedding of the uncertainty regarding the colors of an image into histogram-type descriptors. the uncertainty naturally arises from both the quantization of the color components and the human perception of colors. Fuzzy histograms measure the typicality of each color within the image. We define various fuzzy color histograms following a taxonomy that classifies fuzzy techniques as crude fuzzy, fuzzy paradigm based, fuzzy aggregational and fuzzy inferential. For these fuzzy sets we must develop appropriate similarity measures and distances. We propose a class of such distances, derived from the fuzzy set quality and which we particularize according to various T-norms (fuzzy logical `or' operators). We also prove that the L1 metric naturally arises as a distance for fuzzy sets, considering the fuzzy set symmetric difference.

关键词： Fuzzy control

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