Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Nguyen, Hoang" wg kryterium: Autor

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 48
Tytuł:
Effect of Nitrogen and Potassium on Growth, Yield, and Seed Quality of Quinoa in Ferralsols and Acrisols under Rainfed Conditions
Autorzy:
Van Minh, Nguyen
Hoang, Dinh Thai
Anh, Dang Thi Phuong
Long, Nguyen Viet
Powiązania:
https://bibliotekanauki.pl/articles/2086357.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
acrisols
ferralsols
nitrogen
potassium
quinoa
Opis:
The study has investigated the individual and combined effects of nitrogen and potassium on the growth, grain yield, and quality of quinoa in ferralsols and acrisols. The experiments were conducted during the dry season under rainfed conditions in Central Highland, Vietnam. The factorial design was a randomized complete block design with three replications. The results revealed the positive impacts of nitrogen and potassium on the growth and yield of quinoa. However, after the application of an optimum dose of nitrogen, growth, and yield were not significantly changed and even decreased when the dose continued increasing. Higher levels of nitrogen and potassium application resulted in greater protein and fat content, but lower starch and fiber contents, compared to lower levels. The fertilizer practice has to rely on soil fertility. The study shows that the application of 150 kg N and 105 kg K2O ha-1 could be the optimum rate of nitrogen and potassium for quinoa production in ferralsols and acrisols in Central Highland.
Źródło:
Journal of Ecological Engineering; 2022, 23, 4; 164--172
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
AN EXPLORATORY STUDY OF ICT USE IN ENGLISH LANGUAGE LEARNING AMONG EFL UNIVERSITY STUDENTS
Autorzy:
Tri, Dang Hoang
Nguyen, Nhung Hong Thi
Powiązania:
https://bibliotekanauki.pl/articles/941305.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej w Lublinie. IATEFL Poland Computer Special Interest Group
Tematy:
ICT
EFL
Opis:
There has been a large volume of published studies describing the attitudes of teachers and students towards ICT usage to study English; nevertheless, limited research has been conducted to examine the use of ICT in terms of frequency of use, purposes, perceptions, and expectations among EFL students. Thus, the purpose of the current study was to address this research problem. The research used a convenience sample of 149 English major students who were invited to respond to the questionnaire survey. The findings indicated that the participants spent more time using ICT for private purposes than for English learning purposes. Most of them showed their positive attitudes towards ICT use to study English and expected that ICT should be used more frequently in the classroom in order to maximize language learning and teaching. Gaining an understanding of the way the learners employ ICT for their non-educational purposes may help “shed light on how best to determine their educational uses” (Fujimoto, 2012, p.165). Pedagogical implications were also given in this current inquiry.
Źródło:
Teaching English with Technology; 2014, 14, 4; 32-46
1642-1027
Pojawia się w:
Teaching English with Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective optimization of the cylindrical grinding process of SCM440 steel using preference selection index method
Autorzy:
Tien, Dung Hoang
Trung, Do Duc
Thien, Nguyen Van
Nguyen, Nhu-Tung
Powiązania:
https://bibliotekanauki.pl/articles/1833757.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
MRR
Taguchi PSI method
surface roughness
cylindrical grinding process
Opis:
This paper presents a study to ensure the minimum values of Ra and Rz, and the maximum value of MRR when external cylindrical grinding by the PSI method. The experiments were performed according to the orthogonal Taguchi L9 matrix with the input parameters including workpiece speed, feed rate, and depth of cut in the conventional grinding machine. Analysis of experimental results by Pareto chart showed that the feed rate and the depth of cut most influence on Ra and Rz, respectively. Feed rate and depth of cut all have a great influence on MRR. Meanwhile, the workpiece speed has a negligible effect on all three output parameters. The research results showed that to obtain the minimum values of Ra and Rz, and maximum of MRR, the workpiece speed, feed rate, and depth of cut were 400 rev/min 37.7 mm/min, 0.09 mm/rev, and 0.02 mm, respectively.
Źródło:
Journal of Machine Engineering; 2021, 21, 3; 110--123
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effects of Mulberry Pomace Addition and Transglutaminase Treatment on the Quality of Pasta Enriched with Antioxidants and Dietary Fiber
Autorzy:
Ta, Thi Minh Ngoc
Hoang, Chi Hieu
Nguyen, Thao Mi
Tran, Thi Thu Tra
Ton, Nu Minh Nguyet
Van Viet Man, Le
Powiązania:
https://bibliotekanauki.pl/articles/24024618.pdf
Data publikacji:
2023-10-10
Wydawca:
Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
Tematy:
antioxidant
dietary fiber
mulberry pomace
pasta
transglutaminase
Opis:
Mulberry pomace powder, a by-product of mulberry juice processing, was added to pasta recipe to make pasta with high dietary fiber and antioxidant contents. The effects of mulberry pomace ratio on the nutritional, textural and cooking properties as well as the sensory overall acceptance of the product were investigated. A significant increment in dietary fiber and total anthocyanin contents as well as decrement in cooking quality, texture and color change were observed. The cooking loss increased with the substitution level of mulberry pomace while the optimal cooking time, swelling index and water absorption index decreased. The quality improvement of 10% mulberry pomace fortified pasta was investigated by adding a transglutaminase preparation with enzyme dosage from 0.25 to 1.00 U/g protein. The fortified pasta treated with transglutaminase at 0.50 U/g protein showed a significant improvement in chewiness, tensile strength and elongation rate but was not significantly affected in terms of the swelling index and water absorption. The use of transglutaminase also improved the overall acceptability of the fortified pasta. Mulberry pomace powder may, therefore, be considered a potential antioxidant-rich and dietary fiber-rich material for incorporation into pasta products.
Źródło:
Polish Journal of Food and Nutrition Sciences; 2023, 73, 4; 301-310
1230-0322
2083-6007
Pojawia się w:
Polish Journal of Food and Nutrition Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parametric model analysis, geometrical characteristics and tool trajectories to surface roughness when machining the cycloid screw by a five-axis milling machine
Autorzy:
Pham, Van Bong
Thien, Nguyen Van
Nguyen, Van Que
Duy, Trinh Nguyen
Nguyen, Duy Khanh
Tien, Dung Hoang
Powiązania:
https://bibliotekanauki.pl/articles/2086278.pdf
Data publikacji:
2022
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
cycloid screw surface
five axis milling machine
ball nose end mill
surface roughness
Opis:
To improve the screw machining accuracy in modern air compressors. This paper investigates three main issues during the development process for cycloid screw machining methods on five-axis CNC machine tools with high precision and efficiency. First, the theoretical basis of cycloid screw surface shaping and derivative of the final profile equation is established. Then, modeling the center trajectory and feed rate according to the cycloid screw profile is given. Next is the experimental setup and simulation of the cycloid screw machining process and discussions. The obtained surface quality prediction parameters are close to the actual measured value, which can be used as a reference model for five-axis CNC milling technology processes. All experimental results obtained by the proposed mathematical model show that a surface with good surface quality is created, meeting the requirements for surface quality. The main work can be used as references for engineers and technicians in practice.
Źródło:
Journal of Machine Engineering; 2022, 22, 2; 108--124
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Role of green logistics in the construction of sustainable supply chains
Autorzy:
Pham, Nguyen Dang Khoa
Dinh, Gia Huy
Pham, Hoang Thai
Kozak, Janusz
Nguyen, Hoang Phuong
Powiązania:
https://bibliotekanauki.pl/articles/34606725.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
green logistics
supply chain
environmental pollution
sustainable development
Opis:
The global supply chain has been growing strongly in recent years. This development brings many benefits to the economy, society, and human resources in each country but also causes a large number of concerns related to the environment since traditional logistics activities in the supply chain have been releasing a significant amount of emissions. For that reason, many solutions have been proposed to deal with these environmental pollution problems. Among these, three promising solutions are expected to completely solve environmental problems in every supply chain: (I) Application of blockchain in the supply chain, (II) Use of renewable energy and alternative fuels, and (III) Design of a closed supply chain. However, it seems to lack a comprehensive study of these solutions aiming to overcome the drawbacks of traditional logistics. Indeed, this work focuses on analyzing and evaluating the three above-mentioned solutions and the impacts of each solution on solving problems related to traditional logistics. More importantly, this work also identifies critical factors and challenges such as policies, laws, awareness, and risks that are found to be remarkable difficulties in the shifting progress of traditional logistics to green logistics. Finally, directions for developing and deploying green solutions to the logistics, supply chain, and shipping sectors toward decarbonization strategies and net-zero goals are discussed in detail.
Źródło:
Polish Maritime Research; 2023, 3; 191-211
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Seasonal and Tidal Influence on Surface Water Quality – A Case Study in the Hau River Segment, Vietnamese Mekong Delta Province
Autorzy:
Ni, Duong Van
Viet, Le Hoang
Ly, Nguyen Hong Thao
Powiązania:
https://bibliotekanauki.pl/articles/2173269.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
surface water quality
Hau Giang
season
discriminant analysis
tide
Opis:
The study aimed to evaluate the influence of seasons and tides on surface water quality of Hau River in Hau Giang province, Vietnam. The water quality data were collected at six locations at low tide and high tide. The monitoring parameters included pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), ammonium (NH4+-N), nitrate (NO3--N), orthophosphate (PO43--P), total phosphorus (TP), total nitrogen (TN), iron (Fe) and Coliform. One-way analysis of variance (One-way ANOVA), cluster analysis (CA) and discriminant analysis (DA) were applied to determine the influence of tides and seasons on water quality. The surface water quality was compared with the national technical regulation on surface water quality in column A1 (QCVN 08-MT:2015/BTNMT). The results showed that surface water in the study area had organic pollution and high eutrophication potential. The BOD, COD, TN, TP, Fe and coliform parameters in low tide tended to be higher than those in high tide. Five parameters, including TSS, TP, TN, PO43--P and coliform had a significant difference between the wet season and the dry season by DA analysis. Cluster analysis classified the water quality into three clusters, mainly by the BOD, COD, TSS, PO43--P and Fe parameters. The study provides important information on the water quality of the Hau River in the Hau Giang province for water uses and monitoring.
Źródło:
Journal of Ecological Engineering; 2022, 23, 8; 290--298
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid end-to-end approach integrating online learning with face-identification system
Autorzy:
Nguyene, Dat Van
Nguyen, Son Trung
Pham, Thi Hong Anh
Pham, Van Toan
Hoang, Thao Thu
Thanh, Ta Minh
Powiązania:
https://bibliotekanauki.pl/articles/27312886.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
facial recognition
visual search engine
end-to-end applications
online learning
ElasticSearch (ES)
ES
Opis:
Facial recognition has been one of the most intriguing and exciting research topics over the last few years. It involves multiple face-based algorithms such asfacial detection, facial alignment, facial representation, and facial recognition. However, all of these algorithms are derived from large deep-learning architectures, leading to limitations in development, scalability, accuracy, and deployment for public use with mere CPU servers. Also, large data sets that contain hundreds of thousands of records are often required for training purposes. In this paper, we propose a complete pipeline for an effective face-recognition application that requires only a small data set of Vietnamese celebrities and a CPU for training, solving the problem of data leakage, and the need for GPU devices. The pipeline is based on the combination of a conversion algorithm from face vectors to string tokens and the indexing & retrieval process by Elasticsearch, thereby tackling the problem of online learning in facial recognition. Compared with other popular algorithms on the same data set, our proposed pipeline not only outperforms the counterpart in terms of accuracy but also delivers faster inference, which is essential to real-time applications.
Źródło:
Computer Science; 2023, 24 (1); 141--161
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on launching technology of shield tunnel in Ho Chi Minh Metro line 1
Autorzy:
Nguyen, Xuan Loi
Wu, Li
Nguyen, Khanh Tung
Bui, Quang Anh
Nguyen, Huy Hoang
Luu, Hoang Phuong
Powiązania:
https://bibliotekanauki.pl/articles/1853628.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Ho Chi Minh Metro
maszyna tarczowa
uruchomienie
szyb
poprawa gleby
opad atmosferyczny
miękkie oko
shield machine
launching
shaft
soil improvement
precipitation
soft eye
Opis:
The use of subway tunnel engineering technology has become more professional and refined with the growth of society and the advancement of science and technology. The initial construction process of a subway tunnel shield is the most critical part of the entire engineering system. Shield launching period construction is the most prone to accidents in the shield construction process, directly related to the smooth through the shield tunnel. The line 1 of Ho Chi Minh (HCM) Metro is the first subway line, the full length of 19.7 km, the underground road length of 2.6 km from km 0 + 615 to km 2 + 360, from Ben Thanh market, and then through the Sai Gon river and 14 station (including 3 underground stations and 11 elevated stations), reach Suoi Tien park and is located in Long Binh area station, underground building blocks including Ben Thanh market station to Opera House station interval, Opera House station, Opera House station to Ba Son station interval. This paper selects Shield launching period of Opera House station to Ba Son shaft interval as an example, analyze the key construction technology, construction control parameters and launching considerations of shield machine.
Źródło:
Archives of Civil Engineering; 2021, 67, 1; 387-401
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Disc tool profiling for air compressor screws with complex characteristic curves
Autorzy:
Nguyen, Tuan-Linh
Hoang, Long
Powiązania:
https://bibliotekanauki.pl/articles/1833775.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
disk tool
meshing condition
undercutting
envelope
gearing
Opis:
One of the best practical methods to machine the air compressor screw pairs is milling or grinding by disc tools. The mathematics involved in disc tool profiling is quite complex and requires representing the machined surface by mathematical equations without any singular points and undercutting. From a technical perspective, this article proposes the disc tool profiling integrated solution for machining complex profile screws from their reverse engineering data, which contains crucial issues such as machining deviation evaluation due to undercutting, appropriate tool position setting. The disc tool surface designed by the proposed method is highly accurate, leading the RMS error of the machined surface is less than 0.0201 mm. A difference of the angle, formed by the disc tool axis and the workpiece axis, less than 0.16°, is acceptable in air compressor technology, which leads to a machined surface RMS deviation of less than 0.0186 mm.
Źródło:
Journal of Machine Engineering; 2021, 21, 3; 101--109
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of behaviour of the steel arch support in the geological and mining conditions of the Cam Pha coal basin, Vietnam
Autorzy:
Nguyen, Phu Minh Vuong
Rotkegel, Marek
Van, Hoang Do
Powiązania:
https://bibliotekanauki.pl/articles/1853833.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
podpora stalowa
analiza numeryczna
górnictwo wietnamskie
steel arch support
profiles of steel arch support
numerical analysis
Vietnamese coal mining industry
Opis:
In recent years, the Vietnamese coal mining industry has observed a dynamic increase in both its production and efficiency. In Vietnam, the most precious type of coal is anthracite, which is found in the Quang Ninh province. Industrial anthracite deposits are estimated to be over 2 billion Mg. At present, coal deposits are extracted mostly by the underground method. Coal production is gradually increasing in the underground mines in the Quang Ninh area and it is expected to constitute about 75% of the country’s total coal production in 2030. This involves an increase in the number and length of underground workings. Cam Pha is the largest coal basin of Vietnam, located in the Quang Ninh province. So far, the yearly length of underground workings driven in underground mines in the Cam Pha basin is roughly 90÷150 km. About 84 % of these underground workings are supported by the steel arch support made of SWP profile. A similar situation can be observed in Russia, Ukraine, China, India and Turkey. In addition, the average length of repaired underground workings in the Cam Pha basin constitutes approximately 30% of the total length driven . The main cause was reported is loss of underground workings stability. This requires significant material and labour costs as well as the cost of replacing damaged elements. Addi-tionally, it disturbs the continuity of the mining operations.This article presents the results of the numerical modelling of the rock mass around underground wor-kings driven in typical geo-mining conditions for underground coal mines in the Cam Pha basin, supported by the steel arch support made of SWP and V profiles. As a result of the conducted analyses, the range of failure zone of the rock mass around underground workings and the distribution of reduced stress in the steel arch support elements were determined. The effort states of the steel arch support made of SWP22 profile and V21 profile were compared. The simulations considered different inclinations angle of coal seam, following the structure of the rock mass in the Cam Pha basin. The analysis was carried out using the based-finite difference method code, FLAC2D. Based on the obtained results, actions for improving the stability of underground workings driven in the underground mines of the Cam Pha basin were proposed.
Źródło:
Archives of Mining Sciences; 2020, 65, 3; 551-567
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of supply chain management in construction industry
Autorzy:
Nguyen, Phong Thanh
Nguyen, Vi Nguyen
Pham, Luan Hong
Nguyen, Thu Anh
Nguyen, Quyen Le Hoang Thuy To
Huynh, Vy Dang Bich
Powiązania:
https://bibliotekanauki.pl/articles/103168.pdf
Data publikacji:
2018
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
supply chain management (SCM)
limiting factor
construction industry
zarządzanie łańcuchem dostaw
czynnik ograniczający
przemysł budowlany
Opis:
The application of the supply chain management (SCM) in industry has achieved much success, especially in the manufacturing sector. In the current market, the Vietnamese construction companies must compete not only with domestic companies but also with foreign ones, the application of SCM is essential to improve efficiency and increase their competitive advantage. In this paper, a survey was carried out to identify factors that cause limitation in applying SCM to the Vietnamese construction industry. A qualitative approach was based on prime contractor’s perspective at the construction phase of the project. The survey questionnaire was designed by synthesizing and inheriting the previous studies and consultation with experts. The survey participants are those who have had working experience with main contractors and joined in the construction projects. The face-to-face interviews were conducted to collect data. Descriptive statistics analysis and Exploratory Factor Analysis (EFA) were used to analyze data. The results indicated seven leading causes which limited the application of SCM in the construction industry.
Źródło:
Advances in Science and Technology. Research Journal; 2018, 12, 2; 11-19
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Strategies for developing logistics centres: technological trends and policy implications
Autorzy:
Nguyen, Minh Duc
Ko, Tae Yeon
Rudzki, Krzysztof
Nguyen, Hoang Phuong
Pham, Nguyen Dang Khoa
Powiązania:
https://bibliotekanauki.pl/articles/34601208.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
logistics centers
logistics infrastructure
logistical services
smart technologies
Opis:
Logistics centres are currently performing a key function in the development of countries through their ability to regulate goods, markets, and transport. This is shown by the infrastructure, cost, goods flow, and quality of logistical services provided by these centres. Nevertheless, in developing nations or regions with antiquated logistics infrastructure, conventional logistics centres seem to struggle to manage the volume of commodities passing through them, resulting in persistent congestion and an unsteady flow of goods inside these facilities. This issue poses a challenge to the progress of any nation. The emergence of new technology offers a potential avenue to solve the problems inherent in traditional logistics centres. Most prominently, four technologies (the Internet of Things (IoT), Blockchain, Big Data and Cloud computing) are widely applied in traditional logistics centres. This work has conducted a thorough analysis and evaluation of these new technologies in relation to their respective functions and roles inside a logistics centre. Furthermore, this work proposes difficulties in applying new technologies to logistics centres related to issues such as science, energy, cost, or staff qualifications. Finally, future development directions, related to expanding policies in technological applications, or combining each country’s policies for the logistics industry, are carefully discussed.
Źródło:
Polish Maritime Research; 2023, 4; 129-147
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing an Advanced Soft Computational Model for Estimating Blast-Induced Ground Vibration in Nui Beo Open-pit Coal Mine (Vietnam) Using Artificial Neural Network
Opracowanie zaawansowanego modelu obliczeniowego do szacowania wibracji gruntu wywołanych wybuchem w odkrywkowej kopalni węgla Nui Beo (Wietnam) przy użyciu sztucznej sieci neuronowej
Autorzy:
Nguyen, Hoang
Bui, Xuan‑Nam
Tran, Quang Hieu
Nguyen, Quoc Long
Vu, Dinh Hieu
Pham, Van Hoa
Le, Qui Thao
Nguyen, Phu Vu
Powiązania:
https://bibliotekanauki.pl/articles/317864.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
Wietnam
górnictwo odkrywkowe
sieci neuronowe
Vietnam
open pit mining
artificial neural network
Opis:
The principal object of this study is blast-induced ground vibration (PPV), which is one of the dangerous side effects of blasting operations in an open-pit mine. In this study, nine artificial neural networks (ANN) models were developed to predict blast-induced PPV in Nui Beo open-pit coal mine, Vietnam. Multiple linear regression and the United States Bureau of Mines (USBM) empirical techniques are also conducted to compare with nine developed ANN models. 136 blasting operations were recorded in many years used for this study with 85% of the whole datasets (116 blasting events) was used for training and the rest 15% of the datasets (20 blasting events) for testing. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE) are used to compare and evaluate the performance of the models. The results revealed that ANN technique is more superior to other techniques for estimating blast-induced PPV. Of the nine developed ANN models, the ANN 7-10-8-5-1 model with three hidden layers (ten neurons in the first hidden layer, eight neurons in the second layers, and five neurons in the third hidden layer) provides the most outstanding performance with an RMSE of 1.061, R2 of 0.980, and MAE of 0.717 on testing datasets. Based on the obtained results, ANN technique should be applied in preliminary engineering for estimating blast-induced PPV in open-pit mine.
Źródło:
Inżynieria Mineralna; 2019, 21, 2/2; 58-73
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Learning Algorithms for Data Enrichment: A Promising Solution for Enhancing Accuracy in Predicting Blast-Induced Ground Vibration in Open-Pit Mines
Autorzy:
Nguyen, Hoang
Bui, Xuan-Nam
Drebenstedt, Carsten
Powiązania:
https://bibliotekanauki.pl/articles/25212182.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
blast-induced ground vibration
data enrichment
sustainable and responsible mining
machine learning
open-pit mining
performance improvement
górnictwo odkrywkowe
sztuczna inteligencja
maszyny
Opis:
The issue of blast-induced ground vibration poses a significant environmental challenge in open-pit mines, necessitating precise prediction and control measures. While artificial intelligence and machine learning models hold promise in addressing this concern, their accuracy remains a notable issue due to constrained input variables, dataset size, and potential environmental impact. To mitigate these challenges, data enrichment emerges as a potential solution to enhance the efficacy of machine learning models, not only in blast-induced ground vibration prediction but also across various domains within the mining industry. This study explores the viability of utilizing machine learning for data enrichment, with the objective of generating an augmented dataset that offers enhanced insights based on existing data points for the prediction of blast-induced ground vibration. Leveraging the support vector machine (SVM), we uncover intrinsic relationships among input variables and subsequently integrate them as supplementary inputs. The enriched dataset is then harnessed to construct multiple machine learning models, including k-nearest neighbors (KNN), classification and regression trees (CART), and random forest (RF), all designed to predict blast-induced ground vibration. Comparative analysis between the enriched models and their original counterparts, established on the initial dataset, provides a foundation for extracting insights into optimizing the performance of machine learning models not only in the context of predicting blast-induced ground vibration but also in addressing broader challenges within the mining industry.
Źródło:
Inżynieria Mineralna; 2023, 2; 79--88
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 48

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies