Implementation of Rehabilitation Platform based on Augmented Reality Technology

Nguyen Truong Thinh,Nguyen Anh Quoc,Nguyen Vo Tam Toan,Tran The Luc 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

Stroke is now one of the leading causes of death and disability in both motor and cognitive functions. In addition, rehabilitation for stroke survivors also faces many physical and human difficulties. To address this issue, we studied the use of Augmented Reality (AR) in rehabilitation using a system called RARS. This system creates limbs rehabilitation exercises in the form of games using an AR interface. The goal of the RARS is to increase patient’s positive emotions, which motivates them to enjoy rehabilitation exercises. As a result, recovery efficiency will be improved, and the burden on physiotherapists will be reduced. The RARS is evaluated through a research about the effectiveness of this system on rehabilitation for patients after stroke (n=10). Reported results showed that the RARS produced significant improvement in the patient’s indicators of functional status. From that, this system shows that it not only creates great benefits for personnel and economic but also bring about huge potential for future growth.

Graphene dot armored PtMo nanosponge as a highly efficient and stable electrocatalyst for hydrogen evolution reactions in both acidic and alkaline media

Nguyen, Van-Toan,Nguyen, Ngoc-Anh,Ali, Yousuf,Tran, Quoc Chinh,Choi, Ho-Suk Elsevier 2019 Carbon Vol.146 No.-

<P><B>Abstract</B></P> <P>A new type of three-dimensional PtMo nanosponge wrapped with graphene dots (abbreviated as 3D Pt<SUB>x</SUB>Mo<SUB>1-x</SUB>@graphene) has been developed for catalyzing the hydrogen evolution reaction (HER). The graphene-dot wrapping takes place via the exfoliation of carbon dots during the co-reduction of Pt/Mo precursors and carbon dots at a low temperature in an aqueous solution. The synergistic effects of inner metallic alloy networks and outer graphene dots in the 3D Pt<SUB>x</SUB>Mo<SUB>1-x</SUB>@graphene are responsible for the outstanding HER performance and superb durability in both acidic and alkaline electrolytes. The 3D Pt<SUB>x</SUB>Mo<SUB>1-x</SUB>@graphene shows a low Tafel slope of 32 mV/dec and 51 mV/dec together with a low overpotential of 32 mV and 97 mV at a current density of −10 mA cm<SUP>−2</SUP> in acidic and alkaline media, respectively. The catalyst also shows superb stability, as confirmed by a large amount of repeated potential cycling exceeding 5000 cycles in acidic solution and long-term durability of over 50,000 seconds in an alkaline solution. This work provides a new feasible mean of synthesizing graphene-dot-wrapped Pt-based nanostructures with highly efficient catalytic activity and superb stability for HER without the need for surfactants or stabilizers.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

N-doped Cdot/PtPd nanonetwork hybrid materials as highly efficient electrocatalysts for methanol oxidation and formic acid oxidation reactions

Nguyen, Van-Toan,Tran, Quoc Chinh,Quang, Nguyen Duc,Nguyen, Ngoc-Anh,Bui, Van-Tien,Dao, Van-Duong,Choi, Ho-Suk Elsevier 2018 Journal of alloys and compounds Vol.766 No.-

<P><B>Abstract</B></P> <P>The improvement of the catalytic performance for methanol and formic acid oxidation reactions remains a key issue for the development of a new generation of direct methanol and formic acid fuel cells. This study reports a simple approach, using selective chemical etching for the synthesis of unique nitrogen-doped carbon dot/Pt<SUB>84</SUB>Pd<SUB>16</SUB> (N-Cdot/Pt<SUB>84</SUB>Pd<SUB>16</SUB>) nano-network structure at room temperature with excellent electrocatalytic properties. The obtained nano-network hybrid material exhibits significant enhancement of the electrocatalytic activity for the electro-oxidation reaction of both methanol and formic acid with current densities of 999.0 and 1919.5 mA/mg<SUB>metal</SUB>, respectively, compared with the commercial ones of 751.32 and 806.02 mA/mg<SUB>metal</SUB>, respectively. Furthermore, the N-Cdot/Pt<SUB>84</SUB>Pd<SUB>16</SUB> nano-network hybrid materials exhibit excellent stability and hydrophilic dispersibility at room temperature.</P> <P><B>Highlights</B></P> <P> <UL> <LI> N-Cdot/PtPd nanonetwork hybrid material is synthesized at room temperature. </LI> <LI> A simple coreduction and a selective chemical etching are applied to the synthesis. </LI> <LI> It generates a nano-network structure with excellent electrocatalytic properties. </LI> <LI> N-Cdot functions as a uniform interconnection between the nanohybrid materials. </LI> <LI> The hybrid exhibits significant enhancement of the activity for both MOR and FAOR. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Anomaly Sewing Pattern Detection for AIoT System using Deep Learning and Decision Tree

Nguyen Quoc Toan,Seongwon Cho (사)한국스마트미디어학회 2024 스마트미디어저널 Vol.13 No.2

Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.

A study on distortion of stainless steel AISI 304 sheets during butt-welding process

Quoc-Tuan Pham(팜쿽투완),Duc-Toan Nguyen(규엔득투완),Jong-Kyu Park(박종규),Young-Suk Kim(김영석) 대한용접·접합학회 2015 대한용접학회 특별강연 및 학술발표대회 개요집 Vol.2015 No.11

APPLICATION OF A GRAPHICAL METHOD ON ESTIMATING FORMING LIMIT CURVE OF AUTOMOTIVE SHEET METALS

Quoc Tuan Pham,Jinjae Kim,The-Thanh Luyen,Duc-Toan Nguyen,김영석 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.Supp

In the automotive engineering community, the modified maximum force criterion proposed by Hora and coworkers is considered acceptable for theoretically estimating the forming limit curve (FLC) of sheet metals. Based on this criterion, a graphical method is proposed to simplify evaluation of the FLC. This paper investigates the proposed graphical method in a special case by using a power-hardening law and the Mises yield function, which leads to an explicit expression of the critical strains according the strain paths. The FLC of a DP590 sheet estimated using the proposed method is compared with that estimated using existing analytical methods. The proposed method provides the best prediction of the FLC of the tested material. For verification, the calculated FLC is then adopted into the finite-element method to predict the punch stroke at fracture of several notched specimens subjected to Nakazima tests. The good agreement between the predicted and experimentally determined values of the punch strokes verifies the ability and potential of the proposed method in industrial engineering.

Robust graphene-wrapped PtNi nanosponge for enhanced oxygen reduction reaction performance

Tran, Quoc Chinh,An, Hyesung,Ha, Hyunwoo,Nguyen, Van Toan,Quang, Nguyen Duc,Kim, Hyun You,Choi, Ho-Suk The Royal Society of Chemistry 2018 Journal of Materials Chemistry A Vol.6 No.18

<P>We synthesize a graphene-wrapped 3D-PtNi nanosponge (G-PtNi NS) using formic acid as a reducing agent and carbon dots as a structure-directing agent at room temperature. Reduced Ni and Pt atoms initiate the exfoliation of carbon dots into graphene dots, which eventually encapsulate the PtNi nanocrystals. The strong Pt-carbon interaction propels the formation of the G-PtNi NS with large specific surface area and good long-term stability. The G-PtNi NS shows high reactivity for an oxygen reduction reaction (ORR). The ORR activity is maintained even after 3000 cycles. We confirm that the graphene layers physically stabilize the PtNi NS and chemically adjust the oxygen affinity of the PtNi NS, which both positively contribute to the ORR performance.</P>

A Graphical Method to Estimate Forming Limit Curve of Sheet Metals

Pham, Quoc Tuan,Nguyen, Duc Toan,Kim, Jin Jae,Kim, Young Suk Trans Tech Publications, Ltd. 2019 Key Engineering Materials Vol.794 No.-

<P>Since its foundation, the concept of forming limit diagram has been widely accepted in sheet metal forming community as a powerful tool for studying formability. There are pyramid models that were developed to estimate the forming limit curve theoretically, for example, Swift's diffuse necking criterion, Hill's localized necking criterion, Marciniak and Kuczynski model, Modified Maximum Force Criterion, <I>etc</I>.. Implement of these models, however, is a laborious task. To simply the task, this study presents a graphical method to estimate forming limit curve of sheet metal. Some new insights into the Modified Maximum Force Criterion, the Hora method, are discussed. The insights pertain to the use of a graphic tool to estimate limit strains at three critical forming modes in sheet metal forming that are the uniaxial tension, plane strain, and equi-biaxial tension. Connecting three points by linear lines yields to a simple graph of forming limit curve. Method validation is supported by comparing the estimated forming limit curve with experimentally measured data for several automotive sheet metals.</P>

Treatment of surface water using cold plasma for domestic water supply

Dung Van Nguyen,Phong Quoc Ho,Toan Van Pham,Tuyen Van Nguyen,Lavane Kim 대한환경공학회 2019 Environmental Engineering Research Vol.24 No.3

This paper presents the results of using cold plasma to treat surface water for domestic use purpose. Experimental results showed that cold plasma was an effective method for destroying bacteria in water. After treatment with cold plasma, concentration of coliform and Escherichia coli dramatically reduced. Besides, cold plasma significantly removed water odor, increased dissolved oxygen and decreased the concentration of chemical oxygen demand. However, cold plasma significantly raised the concentration of nitrite and nitrate. Other disadvantages of treating with cold plasma were conductivity increase and pH reduction. Pretreatment steps of coagulation, flocculation, sedimentation and sand filtration followed by disinfection with cold plasma exhibited a high efficiency in surface water treatment. All parameters of surface water after treatment by using the prototype satisfied with the allowance standard of domestic water quality.

임베디드 환경에서 SSD MobileNet V2 및 Deep SORT 기반 객체 추적을 이용한 피플 카운터

황연우,기재원,Nguyen Quoc Toan,To Xuan Dung,Nhu Van Lang,Nguyen Minh Nguyen,이기성 한국지능시스템학회 2023 한국지능시스템학회논문지 Vol.33 No.4

Recently, several studies have been attempted to prevent infectious diseases due tothe pandemic. Statistical data on how many people come and go in an enclosedspace is a very important measure of the prevention of infectious diseases. Therefore, the demand for People Counter using People Counting, a technology thatcounts the floating population in a specific space, has increased significantly. Thepurpose of this paper is to develop a people counter that can operate in real timeeven on embedded devices with a object tracking model using deep learning. Theobject tracking model combined the object detection model with the Deep SORTobject tracking algorithm, and the detection model used a lightweight SSDMobileNet V2 suitable for embedded environments due to its high computationalspeed. The developed people counter tracked and counted objects around theentrance in an enclosed space, and confirmed that real-time operation was possible. 최근 팬데믹(Pandemic)으로 인하여 감염병 예방을 위하여 여러 연구가 시도되고 있다. 밀폐된 공간에 얼마나 많은 인원이 오고 가는 지에 대한 통계적 데이터는 감염병 예방을 위한매우 중요한 척도이다. 이에 따라 특정한 공간에서 유동인구를 세는 기술인 피플 카운팅(People Counting)을 이용한 피플 카운터(People Counter)의 수요가 매우 늘게 되었다. 본논문에서는 딥러닝을 이용한 객체 추적 모델로 임베디드 기기에서도 실시간으로 작동 가능한 피플 카운터 개발을 연구 목적으로 한다. 객체 추적 모델은 객체 감지 모델과 DeepSORT 객체 추적 알고리즘을 결합하였고, 감지 모델로 계산 속도가 빨라 임베디드 환경에적합한 경량화된 SSD MobileNet V2를 사용하였다. 개발된 피플 카운터는 밀폐된 공간에서출입구 주변 객체를 추적하며 카운팅하고, 실시간 동작이 가능함을 확인하였다.