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Conference on Machine Vision Systems for Inspection and Metrology VII

作者： Fargione, G Geraci, AL Pennisi, L Risitano, A Univ Catania Fac Ingn Meccan Ist Macchine I-95125 Catania Italy

ISBN: (纸本)0819429821

The non-destructive tests (NDT) allow to establish the physical and structural conditions of a mechanical part, to verify its condition, the superficial wear and tear and then evaluate its "remaining" efficiency. The non-destructive tests are applied in all those fields of engineering in which the determination of the mechanical and structural characteristics of elements in use is requested, without making them undergo destructive or damaging tests. In the present work an application program has been developed which, examining the surface of mechanical parts under an optical microscope and a blaster video, is able to characterise the material and to recognise and identify the possible presence of a superficial crack. The program constitutes the first step towards the realisation of an industrial prototype which, thanks to the utilisation of a plan moved by step-by-step motors, allows the scanning of the whole surface of a part and the recognition of the crack in an automatic way, that is without the presence of an operator, and its characterisation, in case it is identified, through the determination of some geometric parameters useful to ascertain the structural integrity of the element under examination. For the realisation of the program different techniques of image analysis have been applied and the use of an artificial neural network preset for the recognition of the crack has been necessary. The program has been realised in C language and it works in Linux system.

关键词： Image processing Image segmentation Image analysis Light sources and illumination Nondestructive evaluation algorithm development Neural networks Hough transforms Digital imaging Image acquisition

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development of an algorithm for the Cascade of Vuoksin HPPs Automated Transfer to Parallel Operation with Nordel

Development of an Algorithm for the Cascade of Vuoksin HPPs ...

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IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

作者： Sinianskii, Ivan V. Goriachevskii, Konstantin S. Popov, Maxim G. Sci & Tech Ctr Unified Power Syst St Petersburg Russia Peter Great St Petersburg Polytech Univ St Petersburg Russia

ISBN: (纸本)9781728103396

The article analyzes the work and proposes the introduction of an automated transfer of generators to parallel operation with Nordel and their reverse return to parallel operation from the Unified Power System of Russia with the short-term inclusion of the Unified Power System of Russia and Nordel to parallel operation, which allows switching without stopping the generators and return them into idle speed. The conducted studies show the relevance and wide applicability of special automation, allowing to extend equipment life and minimize the reduction in power output that occurs when equipment is shut down.

关键词： short-term parallel operation power unit transfer algorithm development

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AMSR/AMSR-E level 2 and 3 algorithm developments and data validation plans of NASDA

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2003年第2期41卷 195-203页

作者： Shibata, A Imaoka, K Koike, T Natl Space Dev Agcy Japan Earth Observat Res Ctr Tokyo 1046023 Japan Meteorol Res Inst Tsukuba Ibaraki 3050052 Japan Univ Tokyo Dept Civil Engn Bunkyo Ku Tokyo 1138656 Japan

In 2002, two spaceborne microwave radiometers were launched to provide new observation data. One sensor is the Advanced Microwave Scanning Radiometer (AMSR), aboard the Advanced Earth Observing Satellite-II (ADEOS-II) of the National Space development Agency of Japan (NASDA). The other is AMSR-E, aboard Aqua of the National Aeronautics and Space Administration (NASA). AMSR and AMSR-E are almost identical sensors, and have lower frequencies 6 and 10 GHz, in comparison with preceding sensors, such as the Special Sensor Microwave/Imager (SSM/I). In addition to geophysical products currently retrieved from the SSM/I, new products of sea surface temperature and soil moisture have been retrieved from AMSR and AMSR-E by using those lower frequencies. Eleven Principal Investigators were assigned by NASDA to develop algorithms to retrieve geophysical products, and their programs have been installed at the Earth Observation Research Center of NASDA. Geophysical products are currently being validated by several methods, such as using existing in situ data, employing instruments in field observations, and comparing data with other sensor's data.

关键词： algorithm development data validation microwave remote sensing passive sensor

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Optimizing drug-resistant epilepsy identification in the Veterans Health Administration

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Epilepsy Research 2025年 214卷 107568-107568页

作者： Haneef, Zulfi Eisenschenk, Stephan Lopez, Maria R. Hildebrand, Andrea Rehman, Rizwana Gopinath Karicheri, Sruthi Coutts, Marcella A. Khan, Omar I. Kellogg, Marissa Epilepsy Centers of Excellence. Veterans Administration Central Office Washington DC United States Michael E. DeBakey VA Medical Center Houston 77030 TX United States Baylor College of Medicine Houston 77030 TX United States Malcolm Randall VA Medical Center Gainesville 32608 FL United States University of Florida Health Gainesville 32610 FL United States Bruce Carter VA Medical Center Miami 33125 FL United States Miller School of Medicine University of Miami Miami 33125 FL United States Portland VA Healthcare System Portland 97239 OR United States Oregon Health & Science University (OHSU) Portland 97239 OR United States Durham VA Healthcare System Durham 27705 NC United States Maryland VA Healthcare System Baltimore 21201 MD United States

Background: Accurate identification of drug-resistant epilepsy (DRE) is crucial for accurate disease measurement, effective clinical intervention and improved patient outcomes. Prior attempts to define DRE in administrative data using the 2010 International League against Epilepsy (ILAE) criteria have faced complexities. Methods: This retrospective study utilized national administrative data from the Veterans Health Administration (VHA) to identify patients with possible DRE. This was a multicenter national cohort that uses a common, non-commercial medical record system. A panel of six epileptologists conducted chart reviews to identify DRE using the 2010 ILAE criteria. Logistic regression was used to analyze epilepsy-related variables of interest to develop algorithms identifying DRE. Results: Among 260 included patients, 93 (35.8 %) had DRE, 148 (56.9 %) did not have DRE, and 19 (7.3 %) were undetermined. Out of 96 algorithms assessed, the best-performing algorithm had a high accuracy (F1 score=0.726) and defined DRE as those on ≥ 3 ASMs in addition to those on ≥ 2 ASMs for ≥ 365 days with at least one intractable ICD code. The algorithm demonstrated high sensitivity (0.74), specificity (0.81), and area under the curve (AUC 0.78). Factors such as age, number of ASMs, EEG, and MRI procedures, and intractable epilepsy ICD codes were associated with DRE. Discussion: Our optimal algorithm for DRE identification is like previously published algorithms that determined the importance of number and duration of ASMs. However, it differs in the particular combination of factors that best identified DRE. These differences highlight the importance of fine-tuning algorithms for specific care settings. Further validation in a larger, more heterogenous cohort are needed to determine our algorithm's applicability and potential impact. © 2025

关键词： algorithm development Anti-seizure medications (ASMs) Drug-resistant epilepsy (DRE) ILAE 2010 criteria Veterans Health Administration (VHA)

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development OF A NOVEL algorithm TO CALCULATE THE OPTIC PROPERTIES OF TEMPORAL AEROSOLS THROUGH REMOTE SENSING DATA MEASUREMENTS: PROSPECTIVE STUDY

DEVELOPMENT OF A NOVEL ALGORITHM TO CALCULATE THE OPTIC PROP...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Gloria Elena Faus-Landeros Ivan E. Villalon-Turrubiates Edward A. Celarier Dianne Q. Robinson ITESM Campus Guadalajara Zapopan Jalisco ITESO Universidad Jesuita de Guadalajara NASA Goddard Space Flight Center Hampton University

ISBN: (纸本)9781467311601

Satellite' sensors as well as ground-based sun photometers instruments surface are utilized gather data about the quantitative composition of components in the Earth's atmosphere. The relationships among these components produce effects in different phenomena, like regional climate change. Aerosols, consisting of particles from 0.01 to 10 μm, are atmosphere components, whose effects are still poorly understood. Through Remote Sensing, it is possible to classify them and gain information about their role in different atmospheric processes: low visibility, solar energy balance, cloud formation and increases or decreases of the quantity of precipitation. This paper describes how the study and analysis of satellite-based and ground-based measurements can be used to develop and validate a novel procedure to calculate the optical properties of temporal aerosols found in and around Guadalajara, based on previous algorithms:, to determine the aerosol size distribution function, scattering phase function, single scattering albedo, complex refractive index and asymmetry parameter. The quantifiable knowledge about the temporal and regional aerosols' optical properties will contribute to future investigations related to their quantitative effects on atmospheric processes in this region. These effects include: alteration of weather and climate, change of the tropospheric temperature, contribution to environmental ills, the formation and properties of the clouds, effects on the ecosystems, local solar energy balance, and the impacts on human health.

关键词： Photometry Remote Sensing Aerosols Aerosol's optical properties NASA satellite data inter comparison algorithm development

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development of a Quasi 2-D Modeling of Tubular Solid-Oxide Fuel Cell for Real-Time Control

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IEEE TRANSACTIONS ON ENERGY CONVERSION 2014年第1期29卷 9-19页

作者： Gao, Fei Simoes, Marcelo Godoy Blunier, Benjamin Miraoui, Abdellatif Univ Technol Belfort Montbeliard F-90010 Belfort France Colorado Sch Mines Golden CO 80401 USA

This paper presents the modeling approach for a quasi-2-D tubular anode-supported solid-oxide fuel cell (SOFC) for real-time control implementation. The proposed system considers a multidomain electrochemical, fluidic, and thermal dynamic modeling and it is experimentally validated against a SOFC real world implementation. Implicit iterative algebraic equations have been introduced and implemented in C language in order to have fast real-time execution. The methodology for implementing such an iterative solver is discussed in details and the results demonstrate practical feasibilities in advancing real-time control of SOFC

关键词： algorithm development control modeling real-time solid-oxide fuel cell (SOFC)

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A MICROCOMPUTER ASSISTANT FOR THE development OF VEHICLE-ROUTING AND SCHEDULING HEURISTICS

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DECISION SUPPORT SYSTEMS 1994年第1期12卷 41-56页

作者： POTVIN, JY LAPALME, G ROUSSEAU, JM UNIV MONTREAL DEPT COMP SCI & OPERAT RESMONTREAL H3C 3J7QUEBECCANADA GIRO INC MONTREAL H3L 3T1PQCANADA

A microcomputer vehicle routing and scheduling system aimed at supporting algorithm designers is described. The system is called Micro-ALTO and stems from the experience gained with a previous system running on specialized hardware. The paper focuses on the graphic and interactive features of Micro-ALTO and shows how we used the current microcomputer technology so as to provide a sophisticated environment to the user.

关键词： VEHICLE ROUTING VEHICLE SCHEDULING HEURISTIC algorithm algorithm development algorithmIC FRAMEWORK

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development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions

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REMOTE SENSING OF ENVIRONMENT 2018年 205卷 390-407页

作者： Ishida, Haruma Oishi, Yu Morita, Keitaro Moriwaki, Keigo Nakajima, Takashi Y. Japan Meteorol Agcy Meteorol Res Inst 1-1 Nagamine Tsukuba Ibaraki 3050052 Japan Tokai Univ Res & Informat Ctr Shibuya Ku 2-28-4 Tomigaya Tokyo 1510063 Japan Yamaguchi Univ Grad Sch Sci & Engn 2-16-1 Tokiwa Dai Ube Yamaguchi 7558611 Japan

Common requirements for cloud detection methods including the adjustability with respect to incorrect results are clarified, and a method is proposed that satisfies the requirements by applying the support vector machine (SVM). Because the conditions of clouds and Earth's surfaces vary widely, incorrect results in actual cloud detection operations are unavoidable. Cloud detection methods therefore should be adjustable to easily reduce the frequency of incorrect results under certain conditions, without causing new incorrect results under other conditions. Cloud detection methods are also required to resolve a characteristic issue: the boundary between clear-sky and cloudy-sky areas in nature is vague, because the density of the cloud particles continuously varies. This vagueness makes the cloud definition subjective. Furthermore, the training dataset preparation for machine learning should avoid circular arguments. The SVM learning is generally less likely to result in overfitting: this study suggests that only typical data are sufficient for the SVM training dataset. By incorporating the discriminant analysis (DA), it is possible to subjectively determine the definition of typical cloudy and clear sky and to obtain typical cloud data without direct cloud detection. In an approach to adjust the classifier, data typical of certain conditions that lead to incorrect results are added to the training dataset. In this study, an adjustment procedure is proposed, which quantitatively judges, whether an addition is actually effective for reduction of the frequency of incorrect results. Another approach for the adjustment is improving feature space used for cloud detection. Indices as quantitative guidance to estimate whether an addition or elimination of a feature actually reduces the frequency of incorrect results can be obtained from the analysis of the support vectors. The cloud detection method incorporating the SVM is therefore able to integrate practical adjustment pr

关键词： Satellite observation Cloud detection algorithm development Support vector machine

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development AND APPLICATION OF algorithmS FOR SIMULATING TERRACES WITHIN SWAT

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TRANSACTIONS OF THE ASABE 2013年第5期56卷 1715-1730页

作者： Shao, H. Baffaut, C. Gao, J. E. Nelson, N. O. Janssen, K. A. Pierzynski, G. M. Barnes, P. L. Northwest A&F Univ Coll Resources & Environm Yangling Shaanxi Peoples R China USDA ARS Cropping Syst & Water Qual Res Unit Columbia MO USA Northwest A&F Univ Chinese Acad Sci Inst Soil & Water Conservat Yangling Shaanxi Peoples R China Minist Water Resources Yangling Shaanxi Peoples R China Kansas State Univ Dept Agron Manhattan KS 66506 USA Kansas State Univ Dept Biol & Agr Engn Manhattan KS 66506 USA

Terraces have been proven to be an effective conservation practice for controlling high soil loss. In large hydrological programs such as the Soil and Water Assessment Tool (SWAT), terrace effects are simulated by adjusting the slope length and the USLE P-factor In this study, a process-based terrace algorithm was developed and incorporated into SWAT (version 2009) to simulate the environmental effects of different kinds of terraces, i.e., normal and bench terraces. The terrace algorithm was activated at the hydrological response unit (HRU) level. Terrace description, storage effects, and the flow interaction between the terraces and the HRU were also introduced in the method. The modified SWAT model was evaluated using a four-year, six-plot event runoff and sediment data set with five years of plant yield data collected on a natural rainfall terraced field in southeast Franklin County, Kansas. Results indicated that the model's performance was satisfactory in simulating single and average plot runoff as well as average plot sediment yields, with Nash-Sutcliffe efficiencies always greater than 0.5 and often greater than 0.7. The model's performance was less consistent in simulating sediment yields from the no-till plots. The development and incorporation of the terrace algorithm provide a process-based alternative to the use of the P-factor in representing the effectiveness of terraces.

关键词： algorithm development Erosion Runoff SWAT model Terraces

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BIO-SPEAD - A PARALLEL COMPUTING ENVIRONMENT TO ACCELERATE development OF BIOLOGIC SIGNAL-PROCESSING algorithmS

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 1992年第2期37卷 137-147页

作者： OPPENHEIM, MI FACTOR, M SITTIG, DF YALE UNIV SCH MEDYALE CTR MED INFORMATNEW HAVENCT 06510

We have created BIO-SPEAD (pronounced speed), a BIOlogical Signal Processing Environment for algorithm development. BIO-SPEAD is designed to accelerate development of complex algorithms which integrate information derived from single or multiple physiologic waveforms. BIO-SPEAD currently performs all of the basic analyses of several arterial blood pressure waveforms, and allows the user to utilize the results of those low-level analyses for development of more complex algorithms. We utilized a parallel programming architecture called the Process Trellis which keeps the different tasks, or processes, within BIO-SPEAD independent of each other. Additionally, we have developed a graphics interface to enable the user to visualize the waveform under analysis, the low-level system analysis, and the internal workings of the algorithm under development. The system has been used for several algorithm development projects and has demonstrated its utility.

关键词： SIGNAL PROCESSING algorithm development PARALLEL COMPUTERS BLOOD PRESSURE CARDIOVASCULAR MONITORING

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