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| 1 | Using Genetic Algorithm Neural Network on Near Infrared Spectral Data for Ripeness Grading of Oil Palm(Elaeis guineensis Jacq.)Fresh Fruit显示文摘Genetic Algorithm Neural Network(GANN)for multi-class was used to predict the ripeness grades of oil palm fresh fruit using Near Infrared(NIR)spectral data.NIR spectral data provide sufficient information about compound structure of samples from the near infrared light that passes through.The variables used in the GANN modeling process were the new variables obtained as a result of dimensional reduction from original NIR spectral data using Principal Component Analysis(PCA).Three statistical measures such asMean Absolute Error(MAE),Root Mean Squared Error(RMSE)and the percentage(%)of good classification were used to assess adequacy of the GANN model.Based on the results,the GANN model created was precise enough to be used as the model calibration for this multi-class problem. | Divo Dharma Silalahi Consorcia E.Reano Felino P.Lansigan Rolando G.Panopio Nathaniel C.Bantayan | 2016 | Information Processing in Agriculture2016，3，4： | 5 |
| 2 | Floating terahertz metamaterials with extremely large refractive index sensitivities显示文摘In the diagnosis of severe contagious diseases such as Ebola,severe acute respiratory syndrome,and COVID-19,there is an urgent need for protein sensors with large refractive index sensitivities.Current terahertz metamaterials cannot be used to develop such protein sensors due to their low refractive index sensitivities.A simple method is proposed that is compatible with all geometrical structures of terahertz metamaterials to increase their refractive index sensitivities.This method uses patterned photoresist to float the split-ring resonators(SRRs)of a terahertz metamaterial at a height of 30μm from its substrate that is deposited with complementary SRRs.The floating terahertz metamaterial has an extremely large refractive index sensitivity of 532 GHz/RIU because its near field is not distributed over the substrate and also because the complementary SRRs confine the field above the substrate.The floating terahertz metamaterial senses bovine serum albumin(BSA)and the protein binding of BSA and anti-BSA as BSA,and anti-BSA solutions with low concentrations that are smaller than 0.150μmol/L are sequentially dropped onto it.The floating terahertz metamaterial is a great achievement to develop protein sensors with extremely large refractive index sensitivities,and has the potential to sense dangerous viruses. | HARRY MIYOSI SILALAHI YIN-PEI CHEN YI-HONG SHIH YU-SHAO CHEN XIN-YU LIN JIH-HSIN LIU CHIA-YI HUANG | 2021 | Photonics Research2021，9，10： | 4 |
| 3 | Anticancer and health protective properties of citrus fruit components 显示文摘 | SILALAHI J | 2002 | Asia Pacific J Clin Nutr2002，11，1： | 1 |
| 4 | Cleaning strategies in ceramic microfiltration membranes fouled by oil and particulate matter in produced water 显示文摘 | Silalahi S H D Leiknes T | 2009 | Desalination2009，236，123： | 1 |
| 5 | Cleaning strategies in ceramic microfiltration membranes fouled by oil and particulate matter in produced water显示文摘 | Sumihar H.D. Silalahi TorOve Leiknes | 2008 | Desalination2008，，1： | 1 |
| 6 | Cleaning strategies in ceramic microfil- tration membranes fouled by oil and particulate matter in produced water 显示文摘 | Silalahi S H D Leiknes T | 2009 | Desalination2009，236，23： | 1 |
| 7 | Ultrasonic time domain reflectometry for investigation of particle size effect in oil emulsion separation with crossflow microfiltration显示文摘 | Silalahi S H D Leiknes T Ali J | 2009 | Desalination2009，236，： | 1 |
| 8 | Cleaning strategies in ceramic microfiltration membranes fouled by oil and particulate matter in produced water显示文摘 | Silalahi Sumihar H D Leiknes TorOve | 2009 | Desalination2009，236，13： | 1 |
| 9 | Cleaning strategies in ceramic microfiltration memb ranes fouled by oil and particulate mat er in produced water显示文摘 | Silalahi S H D Leiknes T | | 0，，： | 1 |
| 10 | Folding metamaterials with extremely strong electromagnetic resonance显示文摘Aqueous solutions cannot be detected using transmissive terahertz metamaterials because water strongly absorbs terahertz waves.Transmissive terahertz metamaterials are easier to integrate terahertz emitters and receivers into single and compact devices than reflective terahertz metamaterials.The detection of aqueous solutions using transmissive terahertz metamaterials is a big challenge.This work fabricates a transmissive terahertz metamaterial using a folding metamaterial comprising split-ring resonators(SRRs)with nano-profiles with a high aspect ratio of41.4.The folding metamaterial has a small transmittance of-49 d B at its resonance frequency,large transmittance contrast of approximately 6×10^(4)with respect to the transmittance of its substrate,large refractive index sensitivity of 647 GHz/RIU,and large quality factor of 37.This result arises from the nano-profiles of the SRRs.The nanoprofiles increase the surface areas of the SRRs,increasing their surface currents and enhancing the electromagnetic resonance of the folding metamaterial.The folding metamaterial detects a 188-μm-thick rabbit-blood layer that is deposited on it,which cannot be detected by using a common metamaterial.This result reveals that folding metamaterials have potential in detecting the products of live microorganisms with geometrical sizes up to several hundreds of micrometers,such as hydrogen gas,hydrocarbons,and antibodies. | HARRY MIYOSI SILALAHI WEI-FAN CHIANG YI-HONG SHIH WAN-YI WEI JOU-YU SU CHIA-YI HUANG | 2022 | Photonics Research2022，10，9： | 0 |
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