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Wyszukujesz frazę "Ahmad, F." wg kryterium: Autor


Tytuł:
Water column conditions in a coastal lagoon near Jeddah, Red Sea
Autorzy:
Albarakati, A.M.A.
Ahmad, F.
Powiązania:
https://bibliotekanauki.pl/articles/48751.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
water column
coastal lagoon
Red Sea
heat balance
air-sea interface
stratification
wind stress
heat flux
bottom topography
Źródło:
Oceanologia; 2012, 54, 4
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction cost maintenance model of office building based on condition-based maintenance
Predykcyjno-kosztowy model konserwacji budynku biurowego oparty o utrzymanie zależne od bieżącego stanu technicznego (CBM)
Autorzy:
Au-Yong, C. P.
Ali, A. S.
Ahmad, F.
Powiązania:
https://bibliotekanauki.pl/articles/301654.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
charakterystyki
utrzymanie zależne od bieżącego stanu technicznego (CBM)
wydajność kosztu
budynek biurowy
Malezja
characteristics
condition-based maintenance
cost performance
office building
Malaysia
Opis:
Koszty konserwacji budynków nieustannie rosną ze względu na nieodpowiednią konserwację. Z tej racji, niezbędne jest wypracowanie rozwiązań obniżających koszty konserwacji. Różne badania wykazały, iż charakterystyki utrzymania urządzeń zależnie od ich bieżącego stanu technicznego (condition-based maintenance, CBM) są bezpośrednio powiązane z wydajnością kosztu. Niniejszy artykuł stara się więc ustalić związek pomiędzy charakterystykami utrzymania budynków zależnie od ich bieżącego stanu technicznego a wydajnością kosztu. Następnie opracowano model regresji dla planowania konserwacji jak i predykcji. W badaniach użyto metody mieszanej łączącej badania kwestionariuszowe, wywiad oraz studium przypadku. Rezultaty podkreśliły, iż wiarygodność danych z konserwacji i informacji to najbardziej istotne charakterystyki CBM. W konsekwencji, wnioski z badań sugerują, iż planowanie i wdrożenie strategii utrzymania w zależności od bieżącego stanu technicznego powinno brać pod uwagę jej istotne charakterystyki i odwoływać się do wynikającego z niej modelu predykcji. Ponadto, praca zawiera zalecenia jakimi środkami można w praktyce poprawić istotne charakterystyki i wydajność kosztu.
Building maintenance costs are continuously increasing as a result of poor maintenance. Consequently, there is an urgent need to develop solutions to reduce the maintenance costs. Various studies demonstrated that the characteristics of condition-based maintenance are directly related to the cost performance. Thus, this paper seeks to establish the relationships between the characteristics of condition-based maintenance and the cost performance. The researcher then developed a regression model for maintenance planning and prediction. The study adopted a mix method approach that includes questionnaire survey, interview, and case study. The findings highlighted the reliability of maintenance data and information as the most significant characteristic of conditionbased maintenance. Consequently, the study concluded that the planning and the application of the condition-based maintenance strategy should consider its significant characteristics and make reference to the resulting prediction model. Furthermore, the study recommended measures to improve the significant characteristics and the cost performance in practice.
Źródło:
Eksploatacja i Niezawodność; 2014, 16, 2; 319-324
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jurassic rhynchonellide brachiopods from the Jordan Valley
Autorzy:
Feldman, H.R.
Schemm-Gregory, M.
Ahmad, F.
Wilson, M.A.
Powiązania:
https://bibliotekanauki.pl/articles/23239.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Paleobiologii PAN
Tematy:
Jurassic
rhynchonellid brachiopod
brachiopod
Jordan Valley
Brachiopoda
Rhynchonellida
Mughanniyya Formation
Opis:
Jurassic rhynchonellide brachiopods from the Jordan Valley are herein revised and new taxa are added to the faunal list. In this study of Jurassic rhynchonellides from Wadi Zarqa, northwestern Jordan, we recognize the following taxa: Eurysites rotundus, Cymatorhynchia quadriplicata, Daghanirhynchia triangulata, D. angulocostata, Pycnoria magna, Schizoria elongata, and Schizoria cf. intermedia. The following new taxa are described: Daghanirhynchia susanae sp. nov. and Amydroptychus markowitzi sp. nov. The Middle Jurassic Mughanniyya Formation of northwest Jordan is dominated by limestone beds. The sedimentary environment is interpreted as neritic, light, and nutrient−rich resulting in high faunal diversity. The high rhynchonellide endemism of this fauna is yet another confirmation of pronounced Middle Jurassic endemism along the southern Tethyan margin of the Ethiopian Province. Brachiopods of the Jordanian Mughanniyya Formation can be correlated with the fauna of the Aroussiah Formation in Sinai and the Zohar and Matmor formations in Southern Israel.
Źródło:
Acta Palaeontologica Polonica; 2012, 57, 1
0567-7920
Pojawia się w:
Acta Palaeontologica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential of chitosan alone and in combination with agricultural wastes against the root-knot nematode, Meloidogyne incognita infesting eggplant
Autorzy:
Asif, M.
Ahmad, F.
Tariq, M.
Khan, A.
Ansari, T.
Khan, F.
Siddiqui, A.M.
Powiązania:
https://bibliotekanauki.pl/articles/66613.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
agricultural waste
chitosan
eggplant
root-knot nematode
nematode
Meloidogyne incognita
pot experiment
Opis:
The present investigation was carried out to evaluate the potential of chitosan alone and in combination with various agricultural wastes for the management of rootknot nematode, Meloidogyne incognita on eggplant cv. ‘BR-112’ under greenhouse conditions. The results showed that chitosan as a single or joint treatment with agricultural wastes significantly (p ≤ 0.05) reduced root-knot indices, and the nematode population in soil. As a result, of this, the growth and growth yielding attributes of eggplant were remarkably augmented. Chitosan as an elicitor induced plant mediated systemic resistance against M. incognita in eggplant. The results of the study demonstrated that maximum reduction in eggmass/root, eggs/eggmasses, nematode population and root-knot indices, was acquired by the treatments: chitosan + onion and chitosan + mentha. It was followed by chitosan + Brassica, chitosan + urad and chitosan + coconut whereas, chitosan combined with corn cob waste was found to be the least effective when compared to the control. The application of chitosan alone was effective but not very satisfactory. Compared to the control applications of all the treatments significantly increased plant growth in terms of length, fresh and dry weights, pollen fertility, yield and biochemical parameters such as chlorophyll, carotenoid content and antioxidant enzymes. This may have been due to the eliciting activity of chitosan, causing systemic resistance in the plant and the release of various toxic chemical compounds during decomposition which have lethal effects against the second stage juveniles of M. incognita and nematode multiplication.
Źródło:
Journal of Plant Protection Research; 2017, 57, 3
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parametric optimization of rice bran oil extraction using response surface methodology
Autorzy:
Ahmad, S. W.
Javed, F.
Ahmad, S.
Akram, M.
Rehman, A.
Powiązania:
https://bibliotekanauki.pl/articles/778979.pdf
Data publikacji:
2016
Wydawca:
Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:
solvent extraction
rice bran oil
response surface methodology (RSM)
central composite design (CCD)
Opis:
Use of bran oil in various edible and nonedible industries is very common. In this research work, efficient and optimized methodology for the recovery of rice bran oil has been investigated. The present statistical study includes parametric optimization, based on experimental results of rice bran oil extraction. In this study, three solvents, acetone, ethanol and solvent mixture (SM) [acetone: ethanol (1:1 v/v)] were employed in extraction investigations. Response surface methodology (RSM), an optimization technique, was exploited for this purpose. A five level central composite design (CCD) consisting four operating parameter, like temperature, stirring rate, solvent-bran ratio and contact time were examined to optimize rice bran oil extraction. Experimental results showed that oil recovery can be enhanced from 71% to 82% when temperature, solvent-bran ratio, stirring rate and contact time were kept at 55°C, 6:1, 180 rpm and 45 minutes, respectively while fixing the pH of the mixture at 7.1.
Źródło:
Polish Journal of Chemical Technology; 2016, 18, 3; 103-109
1509-8117
1899-4741
Pojawia się w:
Polish Journal of Chemical Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A concept explanation on the development of wheel over point mathematical model for efficient course alteration
Autorzy:
Kamis, A. S.
Ahmad Fuad, A. F.
Powiązania:
https://bibliotekanauki.pl/articles/2063988.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
wheel over point
IBM SPSS
ECDIS
efficient course alteration
mathematical model
altering of the course
Mann-Whitney U Test
Opis:
This concept paper described the process of bridging the gaps in one of the methods for determining wheel over point (WOP). WOP is a marking made on charted courses to indicate a point at which a ship should change course. Identifying WOP is vital to avoid the vessel overshooting the planned track. One method for determining WOP is the advanced transfer technique. However, two issues were identified while reviewing this technique. Therefore, an improved mathematical model could be developed to overcome these problems. A manoeuvring analysis using a ship simulator will be performed to test the developed mathematical model's efficacy. The data obtained from the simulation study can be validated further by its adherence to the cross track limit, reduction in percentage change, and using IBM SPSS for the Mann-Whitney U test. The developed mathematical model is expectantly capable of producing a better track-keeping function and suitable for use onboard a cargo ship. The mathematical model also could be implemented as an algorithm in the Electronic Chart Display and Information System to help navigators make more efficient course changes.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 795--798
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study to determine the most effective daymark shape for a leading line
Autorzy:
Ahmad Fuad, A F.
Adlan, D. A. A.
Kamis, A. S.
Ahmad, A. S.
Powiązania:
https://bibliotekanauki.pl/articles/2211922.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
navigational infractructure
leading line
daymark
daymark shape
navigational infrastructure
Port of Kemaman
leading line daymark
IALA recommendations
Opis:
The use of daymark shapes for leading lines include its visual shape and symbol, to aid sailors who need to navigate safely through a marked narrow channel. The shapes which are currently used are rectangles, diamonds, and triangles. However, there is not much information on which shape is the most effective for navigational referencing. Therefore, the main objective of this research is to determine the most effective shape for a leading line daymark. The Kemaman Port was used as an area of interest to model the three-dimensional simulation. The size and height of the leading line daymark was calculated based on the dimensions of the navigational channel obtained from the Kemaman Port navigation chart. The simulation for different shapes of the leading mark in the same area was developed using a three-dimensional software. Experts were engaged to evaluate the effectiveness of each daymark shape across the maximum and minimum distances during the simulation run. Results showed that the diamond shape daymark was relatively better identified and used as reference, compared to other shapes in the same range due to its relatively larger surface area. Therefore, the study objective was achieved, and the results can be used to improve marine navigation safety.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 3; 497--500
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parametric optimization of coal desulfurization through Alkaline leaching
Autorzy:
Rehman, F.
Ahmad, S. W.
Zafar, M. S.
Ahmad, S.
Zia-Ul-Haq, M.
Powiązania:
https://bibliotekanauki.pl/articles/779964.pdf
Data publikacji:
2018
Wydawca:
Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:
Desulfurization
Alkaline leaching
Response surface methodology
ANOVA
Central Composite design
Opis:
Desulfurization of Pakistani coal has been carried out through alkaline leaching. During present experimental investigation, the effect of operating parameters like alkali concentration, time, temperature and particle size has also been analyzed, graphically represented and critically discussed. Parametric optimization of leaching process has been carried out by using response surface methodology (RSM) based on central composite design (CCD). The analysis of variance (ANOVA) was performed in order to assess the highest level interactions of variables and three way interactions were observed significant. Further, the optimum value of total sulfur removal was observed as 53% when the operatic conditions fixed at 10% W/V, 60 min, 80°C and 140 mesh for alkaline concentration, leaching time, temperature and particle size, respectively.
Źródło:
Polish Journal of Chemical Technology; 2018, 20, 3; 103-109
1509-8117
1899-4741
Pojawia się w:
Polish Journal of Chemical Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Phenolic, carotenoid, ascorbic acid contents and their antioxidant activities in bell pepper
Autorzy:
Akhtar, M.
Ahmad, A.
Masud, T.
Wattoo, F.H.
Powiązania:
https://bibliotekanauki.pl/articles/12661132.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Przyrodniczy w Lublinie. Wydawnictwo Uniwersytetu Przyrodniczego w Lublinie
Tematy:
plant cultivation
sweet pepper
chemical composition
phenolic acid
carotenoid content
ascorbic acid content
antioxidant activity
Opis:
Essential nutritional components are quantified in the study in addition to major antioxidants, carotenoids, phenols and flavonoids. Their antioxidant activities were also analyzed using DPPH, ABTS and hydrogen peroxide radical scavenging activities and by determining their iron reducing power. Results indicated that the highest quantity of nutritional and antioxidant components was obtained in red variety (4.63 mg/g ascorbic acid, 10.32 mg/g total carotenoid content, 61.50 mg/g total flavonoid content, 310.27 mg/g total phenolic content) followed by orange, yellow and green varieties. Similar trend was observed while analyzing their antioxidant activities by different methods. In studying correlation between components and antioxidant activity, a strong correlation was obtained for ABTS radical scavenging activity with total phenolic content (R2 = 0.722) and total carotenoid contents (R2 = 0.709), while moderate correlation was observed for ABTS radical scavenging activity with total flavonoid contents (R2 = 0.517) and ascorbic acid (R2 = 0.673).
Źródło:
Acta Scientiarum Polonorum. Hortorum Cultus; 2019, 18, 1; 13-21
1644-0692
Pojawia się w:
Acta Scientiarum Polonorum. Hortorum Cultus
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Air Quality Assessment and Forecasting Using Neural Network Model
Autorzy:
Hamdan, Mohammad A.
Ata, Mohammad F. Bani
Sakhrieh, Ahmad H.
Powiązania:
https://bibliotekanauki.pl/articles/1838288.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
air pollutant
ANN
MATLAB
forecasting
Opis:
Air pollution is a major obstacle faced by all countries which impacts the environment, public health, socioeconomics, and agriculture. In this study, the air pollutants in the city of Amman were presented and analyzed. Nonlinear Autoregressive Exogenous (NARX) model was used to forecast the daily average levels of pollutants in Amman, Jordan. The model was built using the MATLAB software. The model utilized a Marquardt-Levenberg learning algorithm. Its performance was presented using different indices, R2 (Coefficient of Determination), R (Coefficient of Correlation), NMSE (Normalized Mean Square Error), and Plots representing network predictions vs original data. Historical measurements of air pollutants were obtained from 4 of the Ministry of Environment (MoEnv) air quality monitoring stations in Amman. The meteorological data representing three years (2015, 2016, and 2017) were used as predictors to train the Artificial Neural Network (ANN) while the data of the year 2018 were used to test it. The results showed good performance when forecasting SO2, O3, CO, and NO2, and acceptable performance when forecasting Particulate Matter (PM10) at the given 4 locations.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 1-11
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Air Quality Assessment and Forecasting Using Neural Network Model
Autorzy:
Hamdan, Mohammad A.
Ata, Mohammad F. Bani
Sakhrieh, Ahmad H.
Powiązania:
https://bibliotekanauki.pl/articles/1838392.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
air pollutant
ANN
MATLAB
forecasting
Opis:
Air pollution is a major obstacle faced by all countries which impacts the environment, public health, socioeconomics, and agriculture. In this study, the air pollutants in the city of Amman were presented and analyzed. Nonlinear Autoregressive Exogenous (NARX) model was used to forecast the daily average levels of pollutants in Amman, Jordan. The model was built using the MATLAB software. The model utilized a Marquardt-Levenberg learning algorithm. Its performance was presented using different indices, R2 (Coefficient of Determination), R (Coefficient of Correlation), NMSE (Normalized Mean Square Error), and Plots representing network predictions vs original data. Historical measurements of air pollutants were obtained from 4 of the Ministry of Environment (MoEnv) air quality monitoring stations in Amman. The meteorological data representing three years (2015, 2016, and 2017) were used as predictors to train the Artificial Neural Network (ANN) while the data of the year 2018 were used to test it. The results showed good performance when forecasting SO2, O3, CO, and NO2, and acceptable performance when forecasting Particulate Matter (PM10) at the given 4 locations.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 1-11
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metal-titanium oxide / quantum dot porous silicon / silicon-metal solar cell
Autorzy:
Abd, Ahmad Naji
Mishjil, Khudheir A.
Abdulsada, Ali Hamid
Habubi, N. F.
Powiązania:
https://bibliotekanauki.pl/articles/1177996.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
AFM
FTIR
TiO2
X-Ray diffraction
XRD
electrochemical etching p-type silicon wafer
nanocrystalline porous silicon
Opis:
In this paper, the nanocrystalline porous silicon (PSi) films are prepared by electrochemical etching of p-type silicon wafer with current density 7 mA/cm2 and etching times on the formation nano-sized pore array with a dimension of around different etching time. The films were characterized by the measurement of XRD, FTIR spectroscopy and atomic force microscopy properties (AFM). We have estimated crystallites size from X-Ray diffraction about nanoscale for porous silicon and Atomic Force microscopy confirms the nanometric size Chemical fictionalization during the electrochemical etching show on the surface chemical composition of PS. The etching possesses inhomogeneous microstructures that contain a-Si clusters (Si3–Si–H) dispersed in amorphous silica matrix. From the FTIR analyses showed that the Si dangling bonds of the as-prepared PS layer have large amount of Hydrogen to form weak Si–H bonds. The atomic force microscopy investigation shows the rough silicon surface, with increasing etching process (current density and etching time) porous structure nucleates which leads to an increase in the depth and width (diameter) of surface pits. Consequently, the surface roughness also increase.
Źródło:
World Scientific News; 2018, 96; 134-148
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Theoretical Study of Magnetic Behavior of Diamond Doped with Transition Metals
Autorzy:
Hussain, F.
Ullah, M.
Ullah, H.
Rashid, M.
Imran, M.
Ahmad, E.
Powiązania:
https://bibliotekanauki.pl/articles/1399279.pdf
Data publikacji:
2015-03
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
75.10.Kt
75.10.Pq
75.30.Hx
Opis:
We study the magnetic behavior of the diamond system. In this system diamond bulk is involved which is doped with different transition metals, namely Cu, Cd, Hg, and Zn. The VASP code is employed for all calculations which are based on density functional theory. The substitutional point defects is introduced in the diamond bulk and occupied by the transition metals. Results exhibit that all transition metals show ferromagnetism behavior and Cu is a good advocate of conductivity among all transition metals. The range of magnetic moments is 2.89, 1.99, 1.96, and 1.80 $μ_{B}$ per Cu, Cd, Hg, and Zn atom in diamond bulk, respectively. Strong magnetic behavior points out that these materials could be used for spintronics.
Źródło:
Acta Physica Polonica A; 2015, 127, 3; 823-826
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of Weave Design and Yarn Types on Mechanical and Surface Properties of Woven Fabric
Wpływ wzoru tkackiego i rodzaju przędzy na mechaniczne i powierzchniowe właściwości tkaniny
Autorzy:
Azeem, M.
Ahmad, Z.
Wiener, J.
Fraz, A.
Siddique, H. F.
Havalka, A.
Powiązania:
https://bibliotekanauki.pl/articles/231703.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:
PC yarn
ring spun
open-end
weave design
abrasion
pilling
przędza PC
system obrączkowy
splot płócienny
splot atłasowy
wytrzymałość na zerwanie
Opis:
The purpose of this study was to examine the effect of spinning technologies and weave design on fabric mechanical and surface properties. For this purpose, ring spun (combed, carded) and open-end (OE) techniques were used to manufacture yarns of polyester cotton (50:50) which were used in the weft, and 100% cotton yarn in the warp. Plain, twill, and satin weave designs were selected to construct woven samples on a projectile loom. The variation in fabric tensile strength is obvious with respect to weave designs. Higher interlacing of yarn produces more crimp in the load bearing, which may cause lower breaking strength and fewer broad floats. The mechanical and surface properties of these fabric samples were investigated and statistical analysis was performed, which showed a significant effect of the spinning technique and weave design on these properties.
Celem tego badania było zbadanie wpływu technologii przędzenia i splotu na właściwości mechaniczne i powierzchniowe tkaniny. Przy zastosowaniu systemu obrączkowego i bezwrzecionowego wytworzono przędzę bawełniano-poliestrową(50:50) i przędzę w 100% bawełnianą. Następnie na krośnie chwytakowym wytworzono tkaniny o splotach płóciennym i atłasowym. Różnice w wytrzymałości na rozciąganie tkanin są oczywiste w odniesieniu do wzorów splotów. Większe przeplatanie przędzy powoduje więcej karbikowania, co może powodować niższą wytrzymałość na zerwanie. Zbadano mechaniczne i powierzchniowe właściwości próbek tkanin i wykonano analizę statystyczną, która wykazała istotny wpływ techniki przędzenia i rodzaju splotu na właściwości mechaniczne i powierzchniowe tkanin.
Źródło:
Fibres & Textiles in Eastern Europe; 2018, 1 (127); 42-45
1230-3666
2300-7354
Pojawia się w:
Fibres & Textiles in Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning
Autorzy:
Ganum, Adriana
Iskandar, D. N. F. Awang
Chin, Lim Phei
Fauzi, Ahmad Hadinata
Powiązania:
https://bibliotekanauki.pl/articles/2058502.pdf
Data publikacji:
2022
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
automated optical inspection
machine learning
neural network
wafer imperfection identification
Opis:
Defect detection is an important step in industrial production of monocrystalline silicon. Through the study of deep learning, this work proposes a framework for classifying monocrystalline silicon wafer defects using deep transfer learning (DTL). An existing pre-trained deep learning model was used as the starting point for building a new model. We studied the use of DTL and the potential adaptation of Mo bileNetV2 that was pre-trained using ImageNet for extracting monocrystalline silicon wafer defect features. This has led to speeding up the training process and to improving performance of the DTL-MobileNetV2 model in detecting and classifying six types of monocrystalline silicon wafer defects (crack, double contrast, hole, microcrack, saw-mark and stain). The process of training the DTL-MobileNetV2 model was optimized by relying on the dense block layer and global average pooling (GAP) method which had accelerated the convergence rate and improved generalization of the classification network. The monocrystalline silicon wafer defect classification technique relying on the DTL-MobileNetV2 model achieved the accuracy rate of 98.99% when evaluated against the testing set. This shows that DTL is an effective way of detecting different types of defects in monocrystalline silicon wafers, thus being suitable for minimizing misclassification and maximizing the overall production capacities.
Źródło:
Journal of Telecommunications and Information Technology; 2022, 1; 34--42
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł

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