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Research Article | 02-November-2017

DETECTION OF TRANSVERSE CRACKS IN A COMPOSITE BEAM USING COMBINED FEATURES OF LAMB WAVE AND VIBRATION TECHNIQUES IN ANN ENVIRONMENT

The detection, location and sizing of transverse cracks in a composite beam, by combining damage features of Lamb wave and vibration based techniques in artificial neural network (ANN) environment, using numerical finite element model, is discussed. Four damage features, time of flight (TOF) and amplitude ratio, which are Lamb wave based features and first and second natural frequencies, which are vibration based features were used as input to ANN. The output of ANN was crack location and depth

Ramadas C., Krishnan Balasubramaniam, M. Joshi, C.V. Krishnamurthy

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 970–984

Research paper | 31-October-2017

APPLICATION OF BOX-JENKINS METHOD AND ARTIFICIAL NEURAL NETWORK PROCEDURE FOR TIME SERIES FORECASTING OF PRICES

compared with ANN (Artificial Neural Network) methodology. The results showed that ANN performed better than the ARIMA models in forecasting the prices.

Abhishek Singh, G. C. Mishra

Statistics in Transition New Series, Volume 16 , ISSUE 1, 83–96

Research Article | 11-January-2018

MEMS Seismic Sensor with FPAA-Based Interface Circuit for Frequency-Drift Compensation Using ANN

analog array (FPAA) (Anadigm AN231E04) based hardware implementation of artificial neural network (ANN) model with minimized error in frequency drift in the range of 3.68% to about 0.64% as compared to ANN simulated results in the range of 23.07% to 0.99%. Single neuron consumes power of 206.62 mW with minimum block wise resource utilization. The proposed hardware uses all analog blocks removing the requirement of analog to digital converter and digital to analog converter, reducing significant power

Ramesh Pawase, Dr. N.P. Futane

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–6

Research paper | 12-December-2017

SIMULATION STUDIES ON A NEW INTELLIGENT SCHEME FOR RELATIVE HUMIDITY AND TEMPERATURE MEASUREMENT USING THERMISTORS IN 555 TIMER CIRCUIT

relative humidity and ambient temperature by an appropriately trained Artificial Neural Network (ANN). The performance of the arrangement has been evaluated by numerical simulation studies using thermistor data from manufacturer’s table. Significantly good results have been obtained.

Debangshu Dey, Sugata Munshi

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 2, 217–229

Article | 01-June-2015

WSN BASED THERMAL MODELING: A NEW INDOOR ENERGY EFFICIENT SOLUTION

In this paper, we proposed to use the Efficient Indoor Thermal Time Constant (EITTC) to characterize the indoor thermal response in old buildings. Accordingly, a low cost, energy-efficient, wide-applicable indoor thermal modeling solution is developed by combining Wireless Sensor Network (WSN) and Artificial Neural Network (ANN). Experiments on both prototype and building room showed consistent results that the combination of WSN and ANN can provide accurate indoor thermal models. A linear

Yi Zhao, Valentin Gies, Jean-Marc Ginoux

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 869–895

Research Article | 14-February-2019

APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR SHORTTERM PREDICTION OF CONTAINER TRAIN FLOWS IN DIRECTION OF CHINA – EUROPE VIA KAZAKHSTAN

of customs operations, setting attractive and competitive tariffs, ensuring a high degree of cargo safety, development of transport infrastructure, assessment of the transit potential of railway network of the country, and predicting future cargo flows. This article shows the use of artificial neural networks (ANN) for predicting container train flows in the direction of China – Europe. For this purpose, a three-layer perceptron with a learning algorithm, based on the back-propagation of the

Zhomart ABDIRASSILOV, Aleksander SŁADKOWSKI

Transport Problems, Volume 13 , ISSUE 4, 103–113

Article | 01-December-2016

OPTIMIZATION OF MODIFIED ROTAMETER USING HALL PROBE SENSOR WITH RESPECT TO LIQUID DENSITY AND ITS CALIBRATION USING ARTIFICIAL NEURAL NETWORK

incorrect flow rate if the density of the float is not taken to a very high value compared to the density of the fluid. But the density float may affect the flow rate measurement and introduce error. In this respect firstly the variation of Hall voltage with respect to liquid density is analyzed and then the measuring system is calibrated using ANN. The ANN calculates the correction factor with respect to the change in liquid density, which results in obtaining the output close to the desired output

Sunita Sinha, Nirupama Mandal

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2204–2218

Research Article | 12-December-2017

A LOW COST PORTABLE TEMPERATURE-MOISTURE SENSING UNIT WITH ARTIFICIAL NEURAL NETWORK BASED SIGNAL CONDITIONING FOR SMART IRRIGATION APPLICATIONS

Aman Tyagi, Arrabothu Apoorv Reddy, Jasmeet Singh, Shubhajit Roy Chowdhury

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 94–111

Conference Presentation | 13-April-2020

Lean but Not Mean: Doing More with Less in the IRL

Ann Church

Immunohematology, Volume 22 , ISSUE 2, 84–85

Conference Presentation | 13-April-2020

Project Management

Ann Church

Immunohematology, Volume 22 , ISSUE 2, 83–83

Book Review | 18-October-2020

BOOK REVIEW: Blood Bank Regulations: A-Z, 2nd edition

P. Ann Hoppe

Immunohematology, Volume 16 , ISSUE 4, 160–160

Research paper | 13-December-2017

SYSTEM IDENTIFICATION OF NONLINEAR AUTOREGRESSIVE MODELS IN MONITORING DENGUE INFECTION

This paper proposes system identification on application of nonlinear AR (NAR) based on Artificial Neural Network (ANN) for monitor of dengue infections. In building the model, three selection criteria, i.e. the final prediction error (FPE), Akaike’s Information Criteria (AIC), and Lipschitz number were used. Each of the models is divided into two approaches, which are unregularized approach and regularized approach. The findings indicate that NARMAX model with regularized approach yields

H. Abdul Rahim, F. Ibrahim, M. N. Taib

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 783–806

Article | 01-June-2015

BREATH ACETONE-BASED NON-INVASIVE DETECTION OF BLOOD GLUCOSE LEVELS

levels. Effects of pressure, temperature and humidity have been considered. Artificial Neural Network (ANN) has been used to extract features from the output waveform of the sensors. The system has been trained and tested with patient data in the blood glucose ranges from 80 mg/dl to 180 mg/dl. Using the proposed system, the blood glucose concentration has been estimated within an error limit of ±7.5 mg/dl.

Anand Thati, Arunangshu Biswas, Shubhajit Roy Chowdhury, Tapan Kumar Sau

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1244–1260

Article | 01-June-2016

A MACHINE VISION SYSTEM FOR ESTIMATION OF THEAFLAVINS AND THEARUBIGINS IN ORTHODOX BLACK TEA

certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS).

Amitava Akuli, Abhra Pal, Gopinath Bej, Tamal Dey, Arunangshu Ghosh, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 709–731

research-article | 30-November-2019

Difference in lesion formation by male and female Pratylenchus penetrans

Kanan Saikai, Ann E. MacGuidwin

Journal of Nematology, Volume 52 , 1–9

research-article | 30-November-2019

Intraspecific variation in phenotypic and phylogenetic features among Pratylenchus penetrans isolates from Wisconsin, USA

) 13.5 (11.3-15.3) 12.8 (9.5-16.0) 16.2 (11.8-17.8) Tail length 32.4 (26.1-44.7) 30.8 (19.4-42.6) 32.1 (27.5-42.7) 30.3 (23.1-40.3) 26.4 (21.5-31.9) 28.9 (20.2-37.9) 34.9 (25.5-43.2) Vulva to anus distance 91 (62-124) 96.51 (86-121) 94 (75-119) 89 (73-109) 79 (65-105) 84 (65-113) 107 (90-131) Lateral incisures 4 4 with striation 4 with striation 4 4 with striation 4 with striation 4 with striation Labial annules 3 3 3 3 3 3 3 Tail tipb SMO SMO, ANN SMO SMO SMO, CFT SMO, ANN SMO Tail

Kanan Saikai, Ann E. MacGuidwin

Journal of Nematology, Volume 52 , 1–17

Article | 14-October-2020

Comparison of three low-ionic diluents for dilution and storage of reagent A1 and B cells for testing in gel technology

E. Ann Steiner, LouAnn Dake

Immunohematology, Volume 17 , ISSUE 2, 53–56

Case report | 14-December-2020

Case reports: red blood cell autoantibodies mimicking alloantibodies

Ronald E. Domen, Ann Clarke

Immunohematology, Volume 7 , ISSUE 4, 98–101

Article | 09-November-2020

Frequency of neutrophil-specific antigens among Koreans using the granulocyte indirect immunofluorescence test (GIFT)

NA1, NA2, NB1, NB2, NC1, and NE1 are a group of antigens specifically expressed on neutrophils. Antibodies against neutrophil-specific antigens are involved in alloimmune neonatal neutropenia (ANN), autoimmune neutropenia (AIN), and transfusion-related acute lung injury (TRALI). We investigated the frequencies of NA1, NA2, NB1, and Mart antigens in 105 healthy Korean blood donors (65 males, 40 females) by the granulocyte indirect immunofluorescence test (GIFT) employing flow cytometry. Antigen

Kyou S. Han, Tae H. Um

Immunohematology, Volume 13 , ISSUE 1, 15–16

Review | 18-May-2020

Review: American Rare Donor Program

Cynthia Flickinger, Tammy Petrone, Ann Church

Immunohematology, Volume 20 , ISSUE 4, 239–243

Research Article | 31-May-2018

Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA

Weimin Ye, Shane Foye, Ann E. MacGuidwin, Shawn Steffan

Journal of Nematology, Volume 50 , ISSUE 1, 9–26

Article | 18-October-2020

A quick and simple method for phenotyping IgG-sensitized red blood cells

Thom S. Sererat, Douglas W. Veidt, Ann M. Dutched

Immunohematology, Volume 16 , ISSUE 4, 154–156

Article | 09-November-2020

The gel test: sensitivity and specificity for unexpected antibodies to blood group antigens

W. John Judd, E. Ann Steiner, Pamela C. Knaf

Immunohematology, Volume 13 , ISSUE 4, 132–135

research-article | 30-November-2018

Development of a decision support system for managing Heterodera schahtii in sugar beet production

Zahra S. Omer, Jens Levenfors, Susanne Andersson, Ann-Charlotte Wallenhammar

Journal of Nematology, Volume 51 , 1–11

Letter | 16-May-2020

Letter to the Editors: HAMA (Human Anti-Mouse Antibodies) do not Cause False Positive Results in PAKPLUS

Leigh Ann Tidey, Suzette Chance, Marilyn Clarke, RH Aster, Miriam Fogg Leach

Immunohematology, Volume 20 , ISSUE 3, 190–192

Article | 09-June-2019

Teacher leadership report: How student-led pedagogy in modern learning environments (MLEs) can improve literacy learning

Ann R Briggs, Bek Gabites, Scott Mackenzie, Julie McIntosh, Josh Shelley, Peter Verstappen

Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 62–69

Case report | 11-March-2020

Persistent complement-dependent anti-AnWj in a lymphoproliferative disorder: a case study and review

George Grigoriadis, Jennifer Condon, Kate Green, Mary Ann Anderson, Marija Borosak, Erica Wood

Immunohematology, Volume 27 , ISSUE 3, 83–88

research-article | 30-November-2019

Prevalence of the root lesion nematode virus (RLNV1) in populations of Pratylenchus penetrans from North America

Paulo Vieira, Amy Peetz, Benjamin Mimee, Kanan Saikai, Dimitre Mollov, Ann MacGuidwin, Inga Zasada, Lev G. Nemchinov

Journal of Nematology, Volume 52 , 1–10

research-article | 30-November-2020

Pratylenchus smoliki, a new nematode species (Pratylenchidae: Tylenchomorpha) from the Great Plains region of North America

-3) 4 2.3 + 0.1 (2-3) O % 17.3 22 17.7 + 1.9 (12.7-20.3) 25 20.0 + 1.2 (18.3-23.0) 4 18.3 + 1.3 (16.5-20.0) MB % 45.1 22 44.1 + 2.5 (39.4-51.7) 25 44.6 + 2.6 (39.8-50.1) 4 42.0 + 3.2 (39.2-47.1) Overlap 22 29.1 + 6.5 (16-41) 25 26.2 + 6.4 (14-39) 4 19.4 + 8.3 (7-27) Body ann W 1.6 22 1.4 + 0.2 (1.0-2.0) 24 1.3 + 0.1 (1.0-1.5) 4 1.2 + 0.1 (1.0-1.3) LFL 4 24 4.0 + 0.0 (4-4) PUS/Bw 0.6 22 0.9 + 0.2 (1-1) PUS/V-A % 16.1 22 22.5 + 6.4 (13.5-32.8) Sthc L/W 22 1.1 + 0.1

Thomas Powers, Timothy Todd, Tim Harris, Rebecca Higgins, Ann MacGuidwin, Peter Mullin, Mehmet Ozbayrak, Kirsten Powers, Kanan Sakai

Journal of Nematology, Volume 53 , 1–23

research-article | 21-January-2022

Susceptibility of Flordaguard peach rootstock to a resistant-breaking population of Meloidogyne floridensis and two populations of Meloidogyne arenaria

Sai Qiu, Mary Ann D. Maquilan, Jose X. Chaparro, Janete A. Brito, Thomas G. Beckman, Donald W. Dickson

Journal of Nematology, Volume 53 , 1–12

Case report | 25-March-2020

RHD deletion in a patient with chronic myeloid leukemia

Ann Murdock, Deborah Assip, Kim Hue-Roye, Christine Lomas-Francis, Zong Hu, Sunitha Vege, Connie M. Westhoff, Marion E. Reid

Immunohematology, Volume 24 , ISSUE 4, 160–164

Research Article | 17-October-2018

First Report of Stubby-Root Nematode, Paratrichodorus minor, on Onion in Georgia, U.S.A

Onions (Allium cepa L.) are the leading vegetable crop in Georgia accounting for 13.7% of total state vegetable production (Wolfe and Stubbs, 2017). In November 2017, two samples each of onion (var. Candy Ann) seedlings and soil were received from the University of Georgia Cooperative Extension office in Tattnall County, GA. The samples were collected from a nursery fumigated with metam sodium and used for sweet onion transplant production. Symptoms of the damaged plants included stunted growth

Abolfazl Hajihassani, Negin Hamidi, Bhabesh Dutta, Chris Tyson

Journal of Nematology, Volume 50 , ISSUE 3, 453–455

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