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Tytuł:
A study on the influence of printing orientation in metal printing using material extrusion technology on the mechanical properties of 17-4 stainless steel products
Autorzy:
Dang, Long Cao
Nguyen, Cuong Van
Le, Anh Hoang
Bui, Danh Thanh
Powiązania:
https://bibliotekanauki.pl/articles/28407327.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
additive manufacturing
material extrusion
17-4 PH stainless steel
mechanical properties
Opis:
This study investigated the influence of print orientation on the mechanical properties of 17-4 PH stainless steel parts fabricated using material extrusion technology. Tensile test specimens were 3D printed in different orientations (flat, on-edge, and upright), and their mechanical properties were evaluated. The results showed that the print orientation significantly affected the ultimate tensile strength, yield strength, and elongation at failure of the specimens. The flat and on-edge orientations exhibited similar mechanical properties, while the upright orientation resulted in lower strength and higher fracture susceptibility. Hardness measurements also indicated variations in hardness distribution among the orientations. The findings emphasize the importance of optimizing the print orientation parameter to achieve desired mechanical characteristics in 17-4 PH stainless steel parts.
Źródło:
Journal of Machine Engineering; 2023, 23, 4; 89--100
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An efficient pedestrian attribute recognition system under challenging conditions
Autorzy:
Nguyen, Ha X.
Hoang, Dong N.
Tran, Tuan A.
Dang, Tuan M.
Powiązania:
https://bibliotekanauki.pl/articles/24200444.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Tematy:
pedestrian attribute recognition
Deep Learning
vision transformer
security surveil-lance
Opis:
In this work, an efficient pedestrian attribute recognition system is introduced. The system is based on a novel processing pipeline that combines the best-performing attribute extraction model with an efficient attribute filtering algorithm using keypoints of human pose. The attribute extraction models are developed based on several state-of-the-art deep networks via transfer learning techniques, including ResNet50, Swin-transformer, and ConvNeXt. Pre-trained models of these networks are fine-tuned using the Ensemble Pedestrian Attribute Recognition (EPAR) dataset. Several optimization techniques, including the advanced optimizer Adam with Decoupled Weight Decay Regularization (AdamW), Random Erasing (RE), and weighted loss functions, are adopted to solve issues of data unbalancing or challenging conditions like partial and occluded bodies. Experimental evaluations are performed via EPAR that contains 26 993 images of 1477 person IDs, most of which are in challenging conditions. The results show that the ConvNeXt-v2-B outperforms other networks; mean accuracy (mA) reaches 85.57%, and other indices are also the highest. The addition of AdamW or RE can improve accuracy by 1-2%. The use of new loss functions can solve the issue of data unbalancing, in which the accuracy of data-less attributes improves by a maximum of 14% in the best case. Significantly, when the attribute filtering algorithm is applied, the results are dramatically improved, and mA reaches an excellent value of 94.85%. Utilizing the state-of-the-art attribute extraction model with optimization techniques on the large-scale and diverse dataset and attribute filtering has shown a good approach and thus has a high potential for practical applications.
Źródło:
Machine Graphics & Vision; 2023, 32, 2; 3--18
1230-0535
2720-250X
Pojawia się w:
Machine Graphics & Vision
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysing the impact of cutting force and vibration on surface roughness in external cylindrical grinding of SKH2 steel
Autorzy:
Hoang, Long
Nguyen, Linh Tuan
Powiązania:
https://bibliotekanauki.pl/articles/24084754.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
surface roughness
cutting force
vibration
SKH2 steel
grinding
Opis:
The surface roughness of a part during external cylindrical grinding is directly impacted by cutting force and vibration, which are intermediate parameters. To improve the quality of finished parts, studying and controlling these parameters is essential. In this research, the Taguchi method combined with ANOVA analysis was utilized to analyse the effects of feed rate, cutting depth, and rotational speeds on cutting force and vibration amplitude. The test material used was SKH2 steel, which was heat-treated to a hardness of 60 HRC. The research aimed to investigate the relationship between cutting force, vibration, and surface roughness. The study concludes with an analysis of the influence of cutting force and vibration on the surface roughness of parts during external cylindrical grinding. The results show that as cutting force and vibration increase, the surface roughness of the workpiece in external grinding will also increase, and conversely when cutting force and vibration decrease, the surface roughness will decrease.
Źródło:
Journal of Machine Engineering; 2023, 23, 3; 130--140
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
BIM competency in personnel recruitment in Vietnam construction enterprises
Autorzy:
Anh, Pham Xuan
Toan, Nguyen Quoc
Nam, Tran Phuong
Long, Hoang Duy
Thang, Do Duc
Powiązania:
https://bibliotekanauki.pl/articles/27312107.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
kompetencja
modelowanie informacji o budynku
BIM
rekrutacja personelu
personel
firma budowlana
Wietnam
competency
building information modelling
personnel recruitment
personnel
construction company
Vietnam
Opis:
The world has been implementing Building Information Modelling (BIM) successfully to construction projects from small to large scale. In Vietnam and many other countries, BIM is also widely applied in different fields of the construction industry. However, there are still many problems that need to be solved. One of those is to determine the necessary BIM competencies, thereby develop BIM personnel recruitment standards. The article identifies the competencies as well as evaluates their importance when supporting the recruitment of BIM personnel in construction enterprises in Vietnam. Through survey forms such as survey on online recruitment, expert interviews, and survey forms, the study is conducted with Likert scale, relative importance index (RII) for result analysis and ranking the importance of BIM competency for three distinct group of positions in Vietnam. With this result, the authors hope that the study will be an important reference, contributing to the development and concretization of the required competency criteria in the recruitment of BIM personnel in Vietnam and other similar countries.
Źródło:
Archives of Civil Engineering; 2023, 69, 2; 381--397
1230-2945
Pojawia się w:
Archives of Civil 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:
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:
Identifying Key Parameters Influencing Soil Quality at Various Depths in Tram Chim National Park, Dong Thap Province, Vietnam
Autorzy:
Giao, Nguyen Thanh
Nhien, Huynh Thi Hong
Dan, Truong Hoang
Ni, Duong Van
Powiązania:
https://bibliotekanauki.pl/articles/2202379.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
soil quality
national park
organic matter
alkaline soil
multivariate analysis
Opis:
This study used multivariate statistics including cluster analysis (CA) and principal component analysis (PCA) to evaluate the variability and key indicators causing changes in soil quality in Tram Chim National Park, Dong Thap province, Vietnam. Soil samples were collected in the dry season at the habitats of Ischaemum rugosum (CM), Panicum repens (CO), Nelumbo nucifera (LS), Eleocharis dulcis (NO), Oryza rufipogon (LM), Rice field (RL), Melaleuca cajuputi (T) in two layers: A (0–20 cm) and B (20–40 cm). The parameters of pH, total nitrogen (TN), total phosphorus (TP), total acidity (TA), organic matter (OM), total iron (Fe) and exchanged aluminum (Al3+) were used to assess soil quality. The results showed that soil pH was low in both A and B layers. Fe and Al were both high, and the concentrations of these metals in layer A were higher than those in layer B. The OM content was medium while the TN and TP levels were very low. Most of the soil quality indicators tended to decrease with the depth (except for TA). The results of CA analysis showed that there was almost no major change in soil quality between the two soil layers; however, the soil quality in rice field habitat was different from other habitats. The cause may be due to human impact in adding fertilizers/pesticides during farming practices. The PCA results showed at least five influencing factors, explaining 99.7% and 99.9% of soil quality variation in A and B layers. The Al3+, TA, OM, and TP parameters had the main influence on the soil quality of layer A. Meanwhile, the pH, Al3+, TA, TN, Fet indicators had influence on the soil quality of layer B. These indicators need to be future surveyed to assess the evolution of soil quality in the study area.
Źródło:
Journal of Ecological Engineering; 2023, 24, 2; 81--91
2299-8993
Pojawia się w:
Journal of Ecological Engineering
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
Tytuł:
Management strategy for seaports aspiring to green logistical goals of IMO: technology and policy solutions
Autorzy:
Le, Thanh Tuan
Nguyen, Hoang Phuong
Rudzki, Krzysztof
Rowiński, Lech
Bui, Viet Duc
Truong, Thanh Hai
Le, Huu Cuong
Pham, Nguyen Dang Khoa
Powiązania:
https://bibliotekanauki.pl/articles/34605109.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
green seaport
management strategy
clean energy
decarbonization
sustainable Maritime
Opis:
Recently, because of serious global challenges including the consumption of energy and climate change, there has been an increase in interest in the environmental effect of port operations and expansion. More interestingly, a strategic tendency in seaport advancement has been to manage the seaport system using a model which balances environmental volatility and economic development demands. An energy efficient management system is regarded as being vital for meeting the strict rules aimed at reducing the environmental pollution caused by port facility activities. Moreover, the enhanced supervision of port system operating methods and technical resolutions for energy utilisation also raise significant issues. In addition, low-carbon ports, as well as green port models, are becoming increasingly popular in seafaring nations. This study comprises a comprehensive assessment of operational methods, cutting-edge technologies for sustainable generation, storage, and transformation of energy, as well as systems of smart grid management, to develop a green seaport system, obtaining optimum operational efficiency and environmental protection. It is thought that using a holistic method and adaptive management, based on a framework of sustainable and green energy, could stimulate creative thinking, consensus building, and cooperation, as well as streamline the regulatory demands associated with port energy management. Although several aspects of sustainability and green energy could increase initial expenditure, they might result in significant life cycle savings due to decreased consumption of energy and output of emissions, as well as reduced operational and maintenance expenses.
Źródło:
Polish Maritime Research; 2023, 2; 165-187
1233-2585
Pojawia się w:
Polish Maritime Research
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:
Social capital and digital transformation of startups in Vietnam: the mediating role of access to resources
Autorzy:
Nguyen, Dat Hoang Anh
Tran, Ghi Nha
Tran, Khoa Dang
Nguyen, Thach Ha
Powiązania:
https://bibliotekanauki.pl/articles/18029939.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Tematy:
social capital
access to resources
digital transformation
kapitał społeczny
dostęp do zasobów
transformacja cyfrowa
Opis:
The purpose of this study is to use social capital theory to explain how startups in Vietnam undergo the digital transformation process. The study investigates the connection between social capital, resource access, and digital transformation in Vietnamese startups. 230 managers were analyzed using the Partial Least Squares Structural Model (PLS-SEM). The study found a positive correlation between social capital, resource access, and digital transformation. Additionally, the study looked at the role of resource access as a mediator between social capital and digital transformation. The findings of this study hold immense importance for managers seeking to establish social capital with stakeholders, including government agencies, customers, competitors, and suppliers in the digital platform services industry. Leveraging social capital can increase managers’ access to crucial resources, especially during the Covid-19 pandemic. The study acknowledges its limitations and identifies areas for future research.
Źródło:
Management; 2023, 27, 1; 1d84--200
1429-9321
2299-193X
Pojawia się w:
Management
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:
The impact of financial development on economic stability: evidence from asian countries
Wpływ rozwoju finansowego na stabilność gospodarczą: dowody z krajów azjatyckich
Autorzy:
Lee, Anh Hoang
Pham, An Ha Thi
Doan, Kim Thanh
Nguyen, Thanh Phuc
Powiązania:
https://bibliotekanauki.pl/articles/27315179.pdf
Data publikacji:
2023
Wydawca:
Politechnika Częstochowska
Tematy:
financial development
economic stability
Bayesian analysis
rozwój finansowy
stabilność gospodarcza
analiza Bayesowska
Opis:
In recent years, most empirical studies have explored the critical role of financial sector development in economic growth. However, the study of the relationship between the progress of the financial sector and the volatility of economic development has received very little attention. This study is the first attempt at assessing the impact of financial development on the economic stability of Asian countries. In this study, economic stability is assessed through several proxies, such as growth stability, inflation stability and exchange rate stability. Employing panel data of 22 Asian economies covering the period 2011-2019 and Bayesian analysis, the findings show that financial development significantly impacts the economic stability of Asian countries. Additionally, depending on different indicators of financial development, the impact on economic stability of countries will be different. Given these research results, policy implications for economic stability in Asian countries are proposed. Besides, to stabilize growth, the study also suggests that Asian countries need better control of the ratio of non-performing loans to the total credit of the economy.
W ostatnich latach większość badań empirycznych dotyczyła kluczowej roli rozwoju sektora finansowego we wzroście gospodarczym. Jednak badaniu związku między postępem sektora finansowego a zmiennością rozwoju gospodarczego poświęcono bardzo mało uwagi. Niniejsze opracowanie jest pierwszą próbą oceny wpływu rozwoju finansowego na stabilność gospodarczą krajów azjatyckich. W tym opracowaniu stabilność gospodarcza jest oceniana za pomocą kilku wskaźników, takich jak stabilność wzrostu, stabilność inflacji i stabilność kursu walutowego. Wykorzystując dane panelowe 22 gospodarek azjatyckich obejmujące lata 2011-2019 i analizę bayesowską, wyniki pokazują, że rozwój finansowy znacząco wpływa na stabilność gospodarczą krajów azjatyckich. Ponadto, w zależności od różnych wskaźników rozwoju finansowego, wpływ na stabilność gospodarczą krajów będzie różny. Biorąc pod uwagę te wyniki badań, zaproponowano wnioski dotyczące polityki stabilności gospodarczej w krajach azjatyckich. Poza tym, aby ustabilizować wzrost, zasugerowano również, że kraje azjatyckie potrzebują lepszej kontroli stosunku kredytów zagrożonych do całkowitego kredytu w gospodarce.
Źródło:
Polish Journal of Management Studies; 2023, 27, 1; 164--180
2081-7452
Pojawia się w:
Polish Journal of Management Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Workflow of Ground Penetrating Radar Data Analysis Based on Maximum Energy Difference Steering
Przebieg pracy z danymi radarowymi penetrującymi ziemię Analiza oparta na sterowaniu maksymalną różnicą energii
Autorzy:
Dang, Duy Hoang
Le, Cuong Van Anh
Nguyen, Thuan Van
Nguyen, Long Quoc
Huynh, Nhan Thanh
Powiązania:
https://bibliotekanauki.pl/articles/28756746.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
ground penetrating radar
phase analysis
energy difference
radar penetrujący podłoże
analiza fazowa
różnica energii
Opis:
Ground Penetrating Radar is commonly used in civil engineering sectors. Underground anomalies (i.e., electric wires, water pipes or sinkholes) can be detected through representations of hyperbolae in the measured processed GPR image. Our work focuses on detecting the underground objects and understanding their metallic or nonmetallic characteristics. The max energy difference attribute is applied to illuminate their positions while phase analysis process can determine change of phase spectrum in the diffracted signals. For improving phase analysis, we applied a novel workflow combining conventional processed steps and a zooming step for preserving phase originality without disturbed by any unnecessary filters. We applied the workflow in model and real data for proving its effectiveness. Interpretation of two real datasets in Vietnam by our workflow can express existences of the artificial underground anomalies as well as their matter characteristics comparing to their surrounding environments.
Ground Penetrating Radar jest powszechnie stosowany w inżynierii lądowej i wodnej. Podziemne anomalie (np. przewody elektryczne, rury wodociągowe lub zapadliska) można wykryć za pomocą reprezentacji hiperbol w zmierzonym przetworzonym obrazie GPR. Nasza praca koncentruje się na wykrywaniu podziemnych obiektów i zrozumieniu ich metalicznych lub niemetalicznych wła-ściwości. Atrybut maksymalnej różnicy energii jest stosowany do oświetlania ich pozycji, podczas gdy proces analizy fazowej może określić zmianę widma fazowego w dyfrakcyjnych sygnałach. Aby usprawnić analizę fazową, zastosowaliśmy nowatorski przepływ pracy łączący konwencjonalne kroki przetwarzania i krok powiększania w celu zachowania oryginalności fazy bez zakłócania przez niepotrzebne filtry. Zastosowaliśmy przepływ pracy w modelu i rzeczywistych danych, aby udowodnić jego skuteczność. Interpretacja dwóch rzeczywistych zbiorów danych w Wietnamie za pomocą naszego przepływu pracy może wyrazić istnienie sztucznych anomalii podziemnych, a także ich charakterystykę materii w porównaniu z otaczającym je środowiskiem.
Źródło:
Inżynieria Mineralna; 2023, 1; 195--202
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of Spatial-Temporal Variations of Surface Water Quality in the Southern Province of Vietnamese Mekong Delta Using Multivariate Statistical Analysis
Autorzy:
Hong, Tran Thi Kim
Viet, Le Hoang
Giao, Nguyen Thanh
Powiązania:
https://bibliotekanauki.pl/articles/2173256.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
surface water
organic pollution
multivariate statistical analysis
Tien Giang province
Opis:
The study aimed to assess the variation in surface water quality in the Tien Giang province, Vietnam, and at the same time identify the main sources of water pollution. The surface water quality samples were collected at 34 locations (NM01-NM34) with 17 surface water quality indicators in March, June, September and November in canals and rivers in the Tien Giang province. Multivariate statistical analysis methods, including principal component analysis (PCA), cluster analysis (CA) and numerical discriminant analysis (DA), were used to analyze the variability and key indicators affecting the effect of multivariate statistical analysis. The analysis results show that the surface water quality in the study area is contaminated with organic (low DO, high BOD and COD) and nutrients (NH4+-N, NO2--N, PO43--P and TP), salinity (high Cl-). The PCA results showed that 14/17 surface water environmental parameters to be monitored are pH, temperature, TSS, BOD, COD, NH4+-N, NO2--N, PO43--P, TP, SO42-, Cl-, coliform and Fe. The PCA analysis showed that PC1-PC4 accounted for 79.70% of the variation in surface water quality in the study area. Potential surface water polluting sources include hydrological regime, domestic waste, agricultural production, industrial production activities. The CA results showed that 34 monitoring locations can be reduced to 27 locations, with a frequency of 4 times/year to ensure surface water quality representativeness. The DA indicated that the indicators of EC, SO42- and Cl- made the difference of the surface water quality between the wet and dry seasons. The current results provide important information on the current state of water quality for different uses and contribute to the improvement of the surface water quality monitoring system in the Tien Giang province.
Źródło:
Journal of Ecological Engineering; 2022, 23, 7; 1--9
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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