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Potential application of high pressure carbon dioxide in treated wastewater and water disinfection:Recent overview and further trends

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Journal of Environmental Sciences 2015年第10期27卷 38-47页

作者： Huy thanh Vo Tsuyoshi Imai Truc thanh Ho thanh-Loc Thi dang Son Anh Hoang Division of Urban Infrastructural Engineering Mien trung University of Civil Engineering Division of Environmental Science and Engineering Yamaguchi University

Recently emerging disadvantages in conventional disinfection have heightened the need for finding a new solution. Developments in the use of high pressure carbon dioxide for food preservation and sterilization have led to a renewed interest in its applicability in wastewater treatment and water disinfection. Pressurized CO2 is one of the most investigated methods of antibacterial treatment and has been used extensively for decades to inhibit pathogens in dried food and liquid products. This study reviews the literature concerning the utility of CO2 as a disinfecting agent, and the pathogen inactivation mechanism of CO2 treatment is evaluated based on all available research. In this paper, it will be argued that the successful application and high effectiveness of CO2 treatment in liquid foods open a potential opportunity for its use in wastewater treatment and water disinfection. The findings from models with different operating conditions（pressure, temperature, microorganism, water content, media …） suggest that most microorganisms are successfully inhibited under CO2 treatment. It will also be shown that the bacterial deaths under CO2 treatment can be explained by many different ***, the findings in this study can help to address the recently emerging problems in water disinfection, such as disinfection by-products（resulting from chlorination or ozone treatment）.

关键词： High pressure CO2 Inactivation effect Inactivation mechanism

Development of an automatic and knowledge-infused framework for structural health monitoring based on prompt engineering

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FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING 2024年第11期18卷 1752-1774页

作者： Nguyen, Truong-Thang dang, Viet-Hung Pham, thanh-Tung Hanoi Univ Civil Engn Fac Bldg & Ind Construct Hanoi 11600 Vietnam Hanoi Univ Civil Engn Res Grp Dev & applicat Adv Mat & Modern Technol Co Hanoi 11600 Vietnam

Collecting and analyzing vibration signals from structures under time-varying excitations is a non-destructive structural health monitoring approach that can provide meaningful information about the structures' safety without interrupting their normal operations. This paper develops a novel framework using prompt engineering for seamlessly integrating users' domain knowledge about vibration signals with the advanced inference ability of well-trained large language models (LLMs) to accurately identify the actual states of structures. The proposed framework involves formulating collected data into a standardized form, utilizing various prompts to gain useful insights into the dynamic characteristics of vibration signals, and implementing an in-house program with the help of LLMs to perform damage detection. The advantages, as well as limitations, of the proposed method are qualitatively and quantitatively assessed through two realistic case studies from literature, demonstrating that the present method is a new way to quickly construct practical and reliable structural health monitoring applications without requiring advanced programming/mathematical skills or obscure specialized programs.

关键词： structural health monitoring vibration large language model signal processing prompt engineering

A Study on Hovering Control of Small Aerial Robot by Sensing Existing Floor Features

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1016-1025页

作者： Chinthaka Premachandra dang Ngoc Hoang thanh Tomotaka Kimura Hiroharu Kawanaka the Department of Electronic Engineering and Science Graduate School of EngineeringShibaura Institute of TechnologyTokyo 135-8548Japan the Department of Information Technology School of Business Information TechnologyUniversity of Economics Ho Chi Minh CityHue 530000Vietnam the Department of Intelligent Information Engineering Faculty of Science and EngineeringDoshisha UniversityKyoto 602-8580Japan the Department of Electrical and Electronic Engineering Faculty of EngineeringMie UniversityMie 514-8507Japan

Since precise self-position estimation is required for autonomous flight of aerial robots, there has been some studies on self-position estimation of indoor aerial robots. In this study, we tackle the self-position estimation problem by mounting a small downward-facing camera on the chassis of an aerial robot. We obtain robot position by sensing the features on the indoor *** this work, we used the vertex points(tile corners) where four tiles on a typical tiled floor connected, as an existing feature of the floor. Furthermore, a small lightweight microcontroller is mounted on the robot to perform image processing for the onboard camera. A lightweight image processing algorithm is developed. So, the real-time image processing could be performed by the microcontroller alone which leads to conduct on-board real time tile corner detection. Furthermore, same microcontroller performs control value calculation for flight commanding. The flight commands are implemented based on the detected tile corner information. The above mentioned all devices are mounted on an actual machine, and the effectiveness of the system was investigated.

关键词： Hovering control light weight algorithm development image processing self-position estimation small aerial robot tile corner sensing

Deep Learning Based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

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Computers, Materials & Continua 2021年第3期66卷 2555-2571页

作者： Phong thanh Nguyen Vy dang Bich Huynh Khoa dang Vo Phuong thanh Phan Mohamed Elhoseny Dac-Nhuong Le Department of Project Management Ho Chi Minh City Open UniversityHo Chi Minh City700000Vietnam Department of Learning Material Ho Chi Minh City Open UniversityHo Chi Minh City700000Vietnam Faculty of Computers and Information Mansoura UniversityDakahlia Governorate35516Egypt Institute of Research and Development Duy Tan UniversityDanang550000Vietnam Faculty of Information Technology Duy Tan UniversityDanang550000Vietnam

Data fusion is a multidisciplinary research area that involves different *** is used to attain minimum detection error probability and maximum reliability with the help of data retrieved from multiple healthcare *** generation of huge quantity of data from medical devices resulted in the formation of big data during which data fusion techniques become *** medical data is a crucial issue of exponentially-pacing computing world and can be achieved by Intrusion Detection Systems(IDS).In this regard,since singularmodality is not adequate to attain high detection rate,there is a need exists to merge diverse techniques using decision-based multimodal fusion *** this view,this research article presents a new multimodal fusion-based IDS to secure the healthcare data using *** proposed model involves decision-based fusion model which has different processes such as initialization,pre-processing,Feature Selection(FS)and multimodal classification for effective detection of *** FS process,a chaotic Butterfly Optimization(BO)algorithmcalled CBOA is *** the classic BO algorithm offers effective exploration,it fails in achieving faster *** order to overcome this,i.e.,to improve the convergence rate,this research work modifies the required parameters of BO algorithm using chaos ***,to detect intrusions,multimodal classifier is applied by incorporating three Deep Learning(DL)-based classification ***,the concepts like Hadoop MapReduce and Spark were also utilized in this study to achieve faster computation of big data in parallel computation *** validate the outcome of the presented model,a series of experimentations was performed using the benchmark NSLKDDCup99 Dataset *** proposed model demonstrated its effective results on the applied dataset by offering the maximum accuracy of 99.21%,precision of 98.93%and detection rate of 99.59%.The results assured the betterm

关键词： Big data data fusion deep learning intrusion detection bio-inspired algorithm spark

An Optimal Deep Learning Based Computer-Aided Diagnosis System for Diabetic Retinopathy

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Computers, Materials & Continua 2021年第3期66卷 2815-2830页

作者： Phong thanh Nguyen Vy dang Bich Huynh Khoa dang Vo Phuong thanh Phan Eunmok Yang Gyanendra Prasad Joshi Department of Project Management Ho Chi Minh City Open UniversityHo Chi Minh City7000000Vietnam Department of Learning Material Ho Chi Minh City Open UniversityHo Chi Minh City7000000Vietnam Department of Convergence Science Kongju National UniversityGongju32588South Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006South Korea

Diabetic Retinopathy(DR)is a significant blinding disease that poses serious threat to human vision *** and severity grading of DR are difficult processes to ***,it depends on ophthalmoscopically-visible symptoms of growing severity,which is then ranked in a stepwise scale from no retinopathy to various levels of DR *** paper presents an ensemble of Orthogonal Learning Particle Swarm Optimization(OPSO)algorithm-based Convolutional Neural Network(CNN)Model EOPSO-CNN in order to perform DR detection and *** proposed EOPSO-CNN model involves three main processes such as preprocessing,feature extraction,and *** proposed model initially involves preprocessing stage which removes the presence of noise in the input ***,the watershed algorithm is applied to segment the preprocessed *** by,feature extraction takes place by leveraging EOPSO-CNN ***,the extracted feature vectors are provided to a Decision Tree(DT)classifier to classify the DR *** study experiments were carried out using Messidor DR Dataset and the results showed an extraordinary performance by the proposed method over compared methods in a considerable *** simulation outcome offered the maximum classification with accuracy,sensitivity,and specificity values being 98.47%,96.43%,and 99.02%respectively.

关键词： Diabetic retinopathy convolutional neural network classification image processing computer-aided diagnosis

Anticancer effects of saponin and saponin–phospholipid complex of Panax notoginseng grown in Vietnam

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Asian Pacific Journal of Tropical Biomedicine 2016年第9期6卷 795-800页

作者： Thu dang Kim hai Nguyen thanh Duong Nguyen Thuy Loi Vu Duc Thu Vu Thi Hung Vu Manh Patcharee Boonsiri Tung Bui thanh Department of Pharmacology and Clinical Pharmacy School of Medicine and PharmacyVietnam National University Department of Pharmaceutics and Pharmaceutical Technology School of Medicine and PharmacyVietnam National University Department of Pharmacology Hanoi University of Pharmacy Department of Pharmacognosy and Traditional Pharmacy School of Medicine and PharmacyVietnam National University Faculty of Biology VNU University of Science Key Laboratory of Enzyme and Protein Technology VNU University of Science Department of Pharmacology School of PharmacyLac Hong University Department of Biochemistry Faculty of MedicineKhon Kaen University

Objective:To evaluate the antitumor activity both in vitro and in vivo of saponin–phospholipid complex of Panax ***:The in vitro cytotoxic effect of saponins extract and saponin–phospholipid complex against human lung cancer NCI-H460 and breast cancer cell lines BT474 was examined using MTS *** in vivo evaluation of antitumor potential,saponin and saponin–phospholipid complex were administered orally in rats induced mammary carcinogenesis by 7,12-dimethylbenz(a)anthracene,for 30 ***:Our data showed that saponin–phospholipid complex had stronger anticancer effect compared to saponin *** IC50 values of saponin–phospholipid complex and saponin extract for NCI-H460 cell lines were 28.47 mg/m L and 47.97 mg/mL,respectively and these values for BT474 cells were 53.18 mg/mL and 86.24 mg/mL,*** vivo experiments,administration of saponin,saponin–phospholipid complex and paclitaxel(positive control) effectively suppressed 7,12-dimethylbenz(a) anthracene-induced breast cancer evidenced by a decrease in tumor volume,the reduction of lipid peroxidation level and increase in the body weight,and elevated the enzymatic antioxidant activities of superoxide dismutase,catalase,glutathione peroxidase in rat breast ***:Our study suggests that saponin extract from Panax notoginseng and saponin–phospholipid complex have potential to prevent cancer,especially breast cancer.

关键词： Panax notoginseng Saponin Saponin–phospholipid complex Breast cancer Antitumor

Anti-inflammatory effects of Solanum procumbens on a low dose complete Freund's adjuvant-induced arthritis rat model

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Asian Pacific Journal of Tropical Biomedicine 2023年第5期13卷 214-221页

作者： Xuan-hai Do Trong Nghia Nguyen thanh Chung dang Thi thanh Mai Nguyen Trung Nhan Nguyen Van Nhat Truong Do Huu Tho Le Xuan hai Nguyen Hoang Phu dang Giang-Linh Nguyen Dinh-Khanh Hoang Van-Quan Le Van-Mao Can Department of Practical and Experimental Surgery Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Reconstructive and Microsurgery Craniofacial and Reconstructive Surgery CentreMilitary Central Hospital 108Hanoi 10000Vietnam Department of Anatomic Pathology Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Faculty of Chemistry University of ScienceVietnam National University Ho Chi Minh CityHo Chi Minh City 70000Vietnam Faculty of Medicine University of Medicine and PharmacyVietnam National UniversityHanoi 10000Vietnam Department of Ultrasound Imaging Diagnostics CentreMilitary Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Functional Diagnostics Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Pathophysiology Vietnam Military Medical UniversityHanoi 10000Vietnam

Objective:To investigate the anti-inflammatory and analgesic effects of Solanum procumbens on complete Freund’s adjuvantinduced arthritis rat ***:We isolated and identified five compounds in the ethanolsoluble Solanum procumbens extract(SP)with anti-inflammatory effects,including ursolic acid,β-sitosterol,hexadecanoic acid,cisvaccenic acid,and vanillic ***,we investigated the anti-inflammatory effects of SP on rheumatoid arthritis symptoms,including paw volumes,local temperatures,withdrawal latency,and mechanical withdrawal threshold at the hind paw and white blood cell(WBC)number from complete Freund’s adjuvant-induced arthritis rat ***:We have successfully established a complete Freund’s adjuvant-induced arthritis rat model at a low dose(1 mg/mL).SP extract significantly reduced paw volumes(P<0.05),prolonged withdrawal latencies(P<0.05),decreased local temperature,and increased the mechanical withdrawal threshold(P<0.05),but only SP extract at the dose of 300 mg/kg significantly decreased WBC ***:SP extract could be a potential medication candidate with anti-inflammatory effects for arthritis,but it requires further investigation into the mechanism of the SP and its effectiveness on other models as well as clinical trials.

关键词： Solanum procumbens Arthritis Anti-inflammation Complete Freund's adjuvant Rats

Spherical Fuzzy WASPAS-based Entropy Objective Weighting for International Payment Method Selection

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Computers, Materials & Continua 2022年第7期72卷 2055-2075页

作者： Phi-Hung Nguyen thanh-Tuan dang Kim-Anh Nguyen Hong-Anh Pham Faculty of Business FPT UniversityHanoi100000Vietnam Department of Business Management National Taipei University of TechnologyTaipei1068Taiwan Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan

In international trade,exporters prefer to receive payments as quickly as possible,and importers want to make payments as late as *** this respect,the payment field,an essential condition for trade transactions,also represents the positions of exporters and importers *** addition,there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment,particularly in the case of import-export Small and Medium-Sized Enterprises(SMEs)from emerging countries.A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making(MCDM)***,this study aims to propose a novel and efficient Spherical Fuzzy Weighted Aggregated Sum Product Assessment based Entropy Objective Weighting method(SF-EW and WASPAS-SF)to evaluate international payment methods with uncertain ***,SF-EW model is applied to determine the relative weights of critical ***,international payment method alternatives are prioritized by the WASPAS-SF *** essential factors for four international payment methods are proposed based on experts’opinions and the existing literature.A real-world case study from Vietnamese import-export SMEs is presented to validate the applicability of the proposed *** results indicated that“Characteristics of payment method(PA)”had the most significant impact on international payment method *** comparison,“Letters of Credit(L/C)”was the most reliable payment method with the highest ranking available to international ***,a sensitivity analysis was performed to examine the validity and robustness of the proposed decision support ***,this study could contribute to international payment services and in the context of globalization and international trade.

关键词： International payment Vietnam MCDM spherical fuzzy theory entropy WASPAS

Assessing Asian Economies Renewable Energy Consumption Efficiency Using DEA with Undesirable Output

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Computer Systems Science & Engineering 2022年第10期43卷 347-362页

作者： Chia-Nan Wang Ngoc-Ai-Thy Nguyen thanh-Tuan dang Jing-Wein Wang Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Department of Logistics and Supply Chain Management Hong Bang International UniversityHo Chi Minh723000Vietnam Institute of Photonics Engineering National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan

Along with vast non-fossil potential and significant expertise,there is a question of whether Asian nations are attaining efficient consumption and exploitation of renewable *** this perspective,the paper aims to evaluate the efficiency of 14 potential Asia countries in renewable energy consumption during the six-year periods(2014-2019).In analyzing the performance of the renewable energy sector,the data envelopment analysis(DEA)with an undesirable output model approach has been widely utilized to measure the efficiency of peer units compared with the best practice *** consider four inputs and two outputs to a DEA-based efficiency *** force,total energy consumption,share of renewable energy,and total renewable energy capacity are *** outputs consist of CO_(2)emissions as an undesirable output and gross domestic product as a desirable *** results show that United Arab Emirates,Saudi Arabia,Japan,and South Korea consistently outperform in the evaluation,achieving perfect efficiency scores during the research *** is found to have the lowest average efficiency of renewable energy utilization.

关键词： Asia renewable energy efficiency frontier data envelopment analysis bad output