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Enabling the integration of clinical event and physiological data for real-time and retrospective analysis

INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT 2015年第4期13卷 693-711页

作者： Percival, Jennifer McGregor, Carolyn Percival, Nathan James, Andrew Univ Ontario Inst Technol Fac Business & Informat Technol Oshawa ON Canada Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON Canada Hosp Sick Children Div Neonatol Toronto ON M5G 1X8 Canada Univ Toronto Dept Paediat Toronto ON M5S 1A1 Canada

There is a growing trend of developing advanced clinical decision support systems that analyze physiological data streams for early detection of a variety of clinical diagnoses. This paper presents prototype architecture for both a real-time mobile clinical event data capture application and an Artemis-based replay system for retrospective analysis and validation of physiological data analytics. These two components provide important information for improving the ability of clinical decision support systems and patient monitoring algorithms to detect and adjust for artifacts caused by clinical events. A description of the prototypes, as well as results from initial prototype testing is provided. Although the sample size is small for the initial testing, significant information with respect to design principles and infrastructure needs were uncovered. Future research directions are identified to improve the mobile application through increased security, robustness, further integration into data mining analysis, and future clinical decision support algorithms.

关键词： Real-time patient monitoring systems Intelligent clinical decision support systems Physiological data streams Clinical data integration Data replay algorithm testing

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A Real-Time Co-simulation Platform for Distribution Grid Voltage Control

A Real-Time Co-simulation Platform for Distribution Grid Vol...

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Australasian Universities Power Engineering Conference (AUPEC)

作者： Krata, Jaroslaw Univ Queensland Sch Informat Technol & Elect Engn Brisbane Qld Australia

ISBN: (纸本)9781538626474

The study aims to develop a real-time co-simulation testing platform for power system studies and provides an example application of a model-driven voltage controller in a distribution grid equipped with medium scale Photovoltaic (PV) generation. The platform consists of the Real-Time Digital Simulator (RTDS) connected by the TCP/IP protocol to MATLAB software. The RTDS device simulates dynamic behaviour of a real grid with 3.15MWp of PV generation while the MATLAB environment is used for fast prototyping and execution of a control algorithm. Furthermore, a novel voltage control method is applied to counteract voltage variations caused by fluctuation of PV generation. The novel method relies on predictions of the grid behaviour and chooses coordinated control strategies to satisfy regulation criteria. In result, the developed co-simulator allows demonstrating that it is possible to predict grid conditions in real-time and to apply a modern controller which makes use of computation power available in contemporary desktop computers.

关键词： algorithm testing co-simulation MATLAB real-time RTDS voltage grid control

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Evoptool: an Extensible Toolkit for Evolutionary Optimization algorithms Comparison

Evoptool: an Extensible Toolkit for Evolutionary Optimizatio...

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2010 IEEE World Congress on Computational Intelligence

作者： Valentini, Gabriele Malago, Luigi Matteucci, Matteo Politecn Milan DEI I-20133 Milan Italy

ISBN: (纸本)9781424481262

This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. Evoptool provides a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. The toolkit offers a wide set of benchmark problems, from classical toy examples to complex tasks, and a collection of implementations of algorithms from the Genetic algorithms and Estimation of Distribution algorithms paradigms. Evoptool is flexible and easy to extend, also with algorithms based on other approaches that go beyond Evolutionary Computation.

关键词： Evolutionary Optimization Tool Evoptool toolkit algorithm development algorithm testing distribution algorithm evolutionary computation evolutionary optimization algorithm comparison genetic algorithm genetic algorithms optimization toolkit

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An enhanced distance-based parameter adaptation multi-population ensemble differential evolution

An enhanced distance-based parameter adaptation multi-popula...

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2024 International Conference on algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2024

作者： Li, Xiangping Huang, Yingqi School of Information Engineering Guizhou University of traditional Chinese Medicine Guiyang China

ISBN: (纸本)9781510685840

Usually, mutation strategies and the corresponding parameter values play an important role in DE. Because different mutation strategies reveal different characteristic during the course of the evolution, combing different mutation strategies has been one of the research direction for DE improvement. In the work, a novel algorithm (eD-MPEDE) is introduced, which applies distance based parameter adaptation to produce competitive trial vectors. Furthermore, the candidate pool of eD-MPEDE contains three novel mutation strategies with different characteristics, which help to balance exploratory and convergence. Tests on CEC2017 show that eD-MPEDE is efficient to obtain promising solutions. © 2024 SPIE.

关键词： algorithm testing Data analysis Evolutionary optimization

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Research on single-phase line fault detection algorithm based on primary and secondary fusion column switches 9

Research on single-phase line fault detection algorithm base...

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9th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2024

作者： Li, Qiang Li, Wenjing Liu, Mian Hu, Yuanyuan Huang, Lvchao State Grid Information & Telecommunication Group Co. Ltd Beijing China

ISBN: (纸本)9781510683303

The accurate identification and diagnosis of single-phase line faults in distribution networks based on primary and secondary fusion column switches have long been challenging due to the lack of effective detection and protection algorithms, directly impacting the safety of distribution lines. To address this issue, this study investigates the variations in sequence current and line voltage signals on the power source side and load side of single-phase line faults based on composite sequence networks. By leveraging the easily observable characteristics of the magnitude jump of positive and negative sequence currents of the faulted phase, the fault type is indexed. Additionally, the fault location is determined based on the characteristics of line voltage magnitude at different positions along the faulted line. Through Matlab simulation and experimental testing on a test bench, the results demonstrate that the fault detection algorithm, which integrates the variations in sequence current and line voltage magnitudes, can successfully achieve fault localization, laying the foundation for the design of subsequent fault detection schemes with superior performance. © 2024 SPIE.

关键词： Detection and tracking algorithms algorithm testing Switches Circuit switching Computer simulations MATLAB Power supplies Design Transformers Telecommunications

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A Generalized Robot Navigation Analysis Platform (RoNAP) with Visual Results Using Multiple Navigation algorithms

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SENSORS 2022年第23期22卷 9036-9036页

作者： Cheng, Chuanxin Duan, Shuang He, Haidong Li, Xinlin Chen, Yiyang Soochow Univ Sch Mech & Elect Engn Suzhou 215031 Peoples R China Soochow Univ Dept Digital Media Suzhou 215031 Peoples R China

The robotic navigation task is to find a collision-free path among a mass of stationary or migratory obstacles. Various well-established algorithms have been applied to solve navigation tasks. It is necessary to test the performance of designed navigation algorithms in practice. However, it seems an extremely unwise choice to implement them in a real environment directly unless their performance is guaranteed to be acceptable. Otherwise, it takes time to test navigation algorithms because of a long training process, and imperfect performance may cause damage if the robot collides with obstacles. Hence, it is of key significance to develop a mobile robot analysis platform to simulate the real environment which has the ability to replicate the exact application scenario and be operated in a simple manner. This paper introduces a brand new analysis platform named robot navigation analysis platform (RoNAP), which is an open-source platform developed using the Python environment. A user-friendly interface supports its realization for the evaluation of various navigation algorithms. A variety of existing algorithms were able to achieve desired test results on this platform, indicating its feasibility and efficiency for navigation algorithm analysis.

关键词： analysis platform robot navigation algorithm testing

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Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance

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BUILDING AND ENVIRONMENT 2020年 168卷 106505-000页

作者： Lin, Guanjing Kramer, Hannah Granderson, Jessica Lawrence Berkeley Natl Lab Bldg Technol & Urban Syst Div 1 Cyclotron RdMS 90R3111 Berkeley CA 94720 USA

Fault detection and diagnosis (FDD) represents one of the most active areas of research and commercial product development in the buildings industry. This paper addresses two questions concerning FDD implementation and advancement 1) What are today's users of FDD saving and spending on the technology? 2) What methods and datasets can be used to evaluate and benchmark FDD algorithm performance? Relevant to the first question, 26 organizations that use FDD across a total 550 buildings and 97 M sf achieved median savings of 8%. Twentyseven FDD users reported that the median base cost for FDD software, annual recurring software cost, and annual labor cost were $8, $2.7 and $8 per monitoring point, with a median implementation size of approximately 1300 points. To address the second question, this paper describes a systematic methodology for evaluating the performance of FDD algorithms, curates an initial test dataset of air handling unit (AHU) system faults, and completes a trial to demonstrate the evaluation process on three sample FDD algorithms. The work provided a first step toward a standard evaluation of different FDD technologies. It showed the test methodology is indeed scalable and repeatable, provided an understanding of the types of insights that can be gained from algorithm performance testing, and highlighted the priorities for further expanding the test dataset.

关键词： Fault detection and diagnostics Energy efficiency Savings and costs Performance evaluation algorithm testing Data

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A Comprehensive Evaluation of the DFP Method for Geometric Constraint Solving algorithm Using PlaneGCS

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TEHNICKI VJESNIK-TECHNICAL GAZETTE 2023年第6期30卷 2026-2035页

作者： Sun, Yunlei Li, Yucong Liu, Kangping China Univ Petr East China Coll Comp Sci & Technol Qingdao Inst Software Qingdao 266580 Peoples R China

The development of open-source geometric constraint solvers is a pressing research topic, as commercially available solvers may not meet the research requirements. In this paper, we examine the use of numerical methods in PlaneGCS, an open-source geometric constraint solver within the FreeCAD CAD software. Our study focuses on PlaneGCS's constraint solving algorithms and the three built-in single-subsystem solving methods: BFGS, LM, and Dogleg. Based on our research results, the DFP method was implemented in PlaneGCS and was successfully verified in FreeCAD. To evaluate the performance of the algorithms, we used the solving state of the constraint system as a test criterion, and analysed their solving time, adaptability, and number of iterations. Our results highlight the performance differences between the algorithms and provide empirical guidance for selection of constraint solving algorithms and research based on open-source geometric constraint solvers.

关键词： algorithm testing DFP method numerical constraint solving algorithm open-source geometric constraint solver

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USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2022年第3期34卷

作者： Wang, Wei Zhang, Han Li, Yang Zhang, Zhenyu Luo, Xiangfeng Xie, Shaorong Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China

Unmanned surface vessels (USVs) have been fully used in the civilian and military fields in recent years, which dramatically expands protective capability and detection range. However, the marine environment's complexity and variability make that verification of various advanced USVs control algorithms face high costs and high risks. In this article, we present USVs-Sim, a novel high-fidelity general simulation platform for USVs autonomous navigation data generation and control strategy testing. USVs-Sim is a collection of high-level extensible modules that allows the rapid development and testing of USVs configurations and facilitates the construction of complex ocean scenarios. USVs-Sim supports the steering or thrusting limits of USVs, as well as unique dynamics profiles. The platform can specify specific USVs sensor systems and change the time of day and weather conditions to generate robust data. USVs-Sim facilitates training of deep-learning algorithms by enabling data export from USVs sensors, including vision data, lidar, relative positions of ocean targets. Therefore, USVs-Sim allows for the rapid prototyping, development, and testing of USVs autonomous control algorithms in a complex marine environment. In this article, we detail the general simulation platform and testing several representative USVs intelligent control algorithms on the platform.

关键词： algorithm testing complex ocean scenarios data generation sensors simulation platform unmanned surface vessel

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algorithm Inspection for Chatbot Performance Evaluation

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Procedia Computer Science 2020年 171卷 2267-2274页

作者： Vijayaraghavan V. Jack Brian Cooper Rian Leevinson J. Infosys Limited India

With the usage of Chatbots growing at an unprecedented rate, it is imperative that they are thoroughly tested, verified and validated. This is done to ensure that Chatbots do not fail during operation. Chatbot failures are undesirable and they often occur when the bot is provided with ambiguous or illegible input. The Chatbots have to be thoroughly tested to ensure that they do not fail under any circumstance and have mechanisms to deal with such scenarios. Although various methods are in use to test Chatbots, algorithm testing is a promising solution to the problem. This involves the use of techniques such as cross-validation, grammar and parsing, verification and validation and statistical parsing. This paper aims to explore the prominent types of chatbot testing methods with detailed emphasis on algorithm testing techniques.

关键词： Chatbot testing algorithm testing NLP ambiguity verification validation machine learning

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