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      • SCIESCOPUSKCI등재

        An Energy-Efficient Access Control Scheme forWireless Sensor Networks based on Elliptic Curve Cryptography

        Le, Xuan Hung,Lee, Sung-Young,Butun, Ismail,Khalid, Murad,Sankar, Ravi,Kim, Miso Hyoung-Il,Han, Man-Hyung,Lee, Young-Koo,Lee, Hee-Jo The Korea Institute of Information and Commucation 2009 Journal of communications and networks Vol.11 No.6

        For many mission-critical related wireless sensor network applications such as military and homeland security, user's access restriction is necessary to be enforced by access control mechanisms for different access rights. Public key-based access control schemes are more attractive than symmetric-key based approaches due to high scalability, low memory requirement, easy key-addition/revocation for a new node, and no key predistribution requirement. Although Wang et al. recently introduced a promising access control scheme based on elliptic curve cryptography (ECC), it is still burdensome for sensors and has several security limitations (it does not provide mutual authentication and is strictly vulnerable to denial-of-service (DoS) attacks). This paper presents an energy-efficient access control scheme based on ECC to overcome these problems and more importantly to provide dominant energy-efficiency. Through analysis and simulation based evaluations, we show that the proposed scheme overcomes the security problems and has far better energy-efficiency compared to current scheme proposed byWang et al.

      • KCI등재

        An Energy-Efficient Access Control Scheme forWireless Sensor Networks based on Elliptic Curve Cryptography

        Xuan Hung Le,Sungyoung Lee,Ismail Butun,Murad Khalid,Ravi Sankar,Miso (Hyoung-IL) Kim,한만형,Young-Koo Lee,이희조 한국통신학회 2009 Journal of communications and networks Vol.11 No.6

        For many mission-critical related wireless sensor network applications such as military and homeland security, user’s access restriction is necessary to be enforced by access control mechanisms for different access rights. Public key-based access control schemes are more attractive than symmetric-key based approaches due to high scalability, low memory requirement, easy key-addition/revocation for a new node, and no key predistribution requirement. Although Wang et al. recently introduced a promising access control scheme based on elliptic curve cryptography (ECC), it is still burdensome for sensors and has several security limitations (it does not provide mutual authentication and is strictly vulnerable to denial-of-service (DoS) attacks). This paper presents an energy-efficient access control scheme based on ECC to overcome these problems and more importantly to provide dominant energy-efficiency. Through analysis and simulation based evaluations, we show that the proposed scheme overcomes the security problems and has far better energy-efficiency compared to current scheme proposed by Wang et al.

      • Activity-oriented access control to ubiquitous hospital information and services

        Le, Xuan Hung,Lee, Sungyoung,Lee, Young-Koo,Lee, Heejo,Khalid, Murad,Sankar, Ravi Elsevier 2010 Information sciences Vol.180 No.16

        <P><B>Abstract</B></P><P>In hospital information systems, protecting the confidentiality of health information, whilst at the same time allowing authorized physicians to access it conveniently, is a crucial requirement. The need to deliver health information at the point-of-care is a primary factor to increase healthcare quality and cost efficiency. However, current systems require considerable coordination effort of hospital professionals to locate relevant documents to support a specific activity. This paper presents a flexible and dynamic access control model, Activity-Oriented Access Control (AOAC), which is based on user activity to authorize access permissions. A user is allowed to perform an activity if he/she holds a number of satisfactory attributes (i.e. roles, assignments, etc.) under a specified condition (e.g. time, location). Results of AOAC implementation in a realistic healthcare scenario have shown to meet two important requirements: protecting confidentiality of health information by denying an unauthorized access, and allowing physicians to conveniently browse medical data at the point-of-care. Furthermore, the average execution time was 0.078s which allows AOAC to work in real-time.</P>

      • KCI등재

        Adaptive hierarchical sliding mode control using an artificial neural network for a ballbot system with uncertainties

        Hai Le Xuan,Quoc-Dong Hoang,Soon Geul Lee,Dat Pham Xuan,Hoang Tran Viet,Minh Pham Van,Hung Pham Van,Hung Pham Viet,PHAM DUC TUAN,Duc Anh Nguyen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2

        Ballbots, which have been studied for over ten years, are under-actuated mobile robots that operate using the inverted pendulum paradigm. Controlling a ballbot poses a number of challenges, including maintaining the stable upright posture from the ground in all directions and making sure it follows the desired trajectory. External factors such as a minor change in contact surface properties or fabrication errors can affect the system's stabilization and transfer capabilities. In this study, an adaptive hierarchical sliding mode control algorithm based on an artificial neural network is developed to make the ballbot robust to external factors. The use of the proposed controller ensures system stability despite uncertainties including friction, accidental centrifugal forces and gravity that occur when the ballbot follows the reference trajectory. The system stability is guaranteed on the basis of Lyapunov theory. Control efficiency and robot stability under system uncertainties are demonstrated by numerical simulation.

      • KCI등재

        Enhancing Salp Swarm Optimization with Orthogonal Diagonalization Transformation for Damage Detection in Truss Bridge

        Hung Tran Viet,Thanh Nguyen Chi,Thang Le Xuan,Nhung Nguyen Cam,Thuc Ngo Van,Hoa Tran 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.6

        This paper proposes a novel approach for structural damage identification using the Salp Swarm Algorithm (SSA) combined with Orthogonal Diagonalization (OD). SSA is an optimization algorithm developed in recent years and has been considered for addressing complex and computationally expensive engineering problems. However, due to the utilization of only the leader salp to search for optimal solutions, there is an imbalance between the exploitation and exploration capabilities of the salp swarm. To address this issue, we suggest the use of OD to enhance the search capability of the leader salp. OD plays a crucial role in reducing the search space and selecting high-quality salp elements in subsequent iterations. From that idea, the algorithm is tested with 12 benchmark functions, and the results demonstrate superior convergence for all of these compared to the algorithm without OD. A comprehensive study with various damage scenarios is also conducted with the Cua Rao bridge. The outcomes indicate that the accuracy, with a deviation rate when using OD, is only 1.412%, whereas it is 2.224% for the SSA in the case of a single damage scenario. As the number of damaged elements increases, the error of SSA rises to 99.667% when identifying damaged elements, while errors using OD remain below 10%. Additionally, the computational speed is significantly enhanced by approximately 40% in both scenarios.

      • KCI등재

        River streamflow prediction using a deep neural network: a case study on the Red River, Vietnam

        Xuan-Hien Le,Hung Viet Ho,이기하 충남대학교 농업과학연구소 2019 Korean Journal of Agricultural Science Vol.46 No.4

        Real-time flood prediction has an important role in significantly reducing potential damage caused by floods for urban residential areas located downstream of river basins. This paper presents an effective approach for flood forecasting based on the construction of a deep neural network (DNN) model. In addition, this research depends closely on the open-source software library, TensorFlow, which was developed by Google for machine and deep learning applications and research. The proposed model was applied to forecast the flowrate one, two, and three days in advance at the Son Tay hydrological station on the Red River, Vietnam. The input data of the model was a series of discharge data observed at five gauge stations on the Red River system, without requiring rainfall data, water levels and topographic characteristics. The research results indicate that the DNN model achieved a high performance for flood forecasting even though only a modest amount of data is required. When forecasting one and two days in advance, the Nash-Sutcliffe Efficiency (NSE) reached 0.993 and 0.938, respectively. The findings of this study suggest that the DNN model can be used to construct a real-time flood warning system on the Red River and for other river basins in Vietnam.

      • SCOPUSKCI등재

        Spatial Interpolation of Meteorologic Variables in Vietnam using the Kriging Method

        ( Xuan Thanh Nguyen ),( Ba Tung Nguyen ),( Khac Phong Do ),( Quang Hung Bui ),( Thi Nhat Thanh Nguyen ),( Van Quynh Vuong ),( Thanh Ha Le ) 한국정보처리학회 2015 Journal of information processing systems Vol.11 No.1

        This paper presents the applications of Kriging spatial interpolation methods for meteorologic variables, including temperature and relative humidity, in regions of Vietnam. Three types of interpolation methods are used, which are as follows: Ordinary Kriging, Universal Kriging, and Universal Kriging plus Digital Elevation model correction. The input meteorologic data was collected from 98 ground weather stations throughout Vietnam and the outputs were interpolated temperature and relative humidity gridded fields, along with their error maps. The experimental results showed that Universal Kriging plus the digital elevation model correction method outperformed the two other methods when applied to temperature. The interpolation effectiveness of Ordinary Kriging and Universal Kriging were almost the same when applied to both temperature and relative humidity.

      • Experimental investigation of the vertical pullout cyclic response of bucket foundations in sand

        Hung, Le Chi,Lee, Sihoon,Tran, Nghiem Xuan,Kim, Sung-Ryul Elsevier 2017 Applied ocean research Vol.68 No.-

        <P><B>Abstract</B></P> <P>A series of 1g model tests was conducted to investigate the accumulated vertical pullout displacement and unloading stiffness of bucket foundations embedded in dry and saturated sands. The foundations were subjected to vertical pullout cyclic loading with different load amplitudes. Cyclic load was applied up to 10<SUP>4</SUP> cycles. Test results showed that the accumulated vertical pullout displacement increased with the increase in the number of load cycles and cyclic load amplitudes. The unloading stiffness of the bucket foundations decreased with the increase in load amplitude and number of cycles. Empirical equations were proposed based on the test results to evaluate the accumulated vertical pullout displacement and unloading stiffness of the bucket foundations in saturated sand. These equations can be used for the preliminary design of single or tripod bucket foundations.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Cyclic response of bucket foundations in saturated sand under cyclic vertical pullout load was examined by 1 <I>g</I> model tests. </LI> <LI> Accumulated displacement increased with the increase in number of load cycles and load magnitude. </LI> <LI> Unloading stiffness decreased with the increase in number of load cycles and load magnitude. </LI> <LI> Empirical equations have been proposed. </LI> </UL> </P>

      • A self-encapsulated porous Sb-C nanocomposite anode with excellent Na-ion storage performance

        Pham, Xuan-Manh,Ngo, Duc Tung,Le, Hang T. T.,Didwal, Pravin N.,Verma, Rakesh,Min, Chan-Woo,Park, Choong-Nyeon,Park, Chan-Jin The Royal Society of Chemistry 2018 Nanoscale Vol.10 No.41

        <P>In this study, a self-encapsulated Sb-C nanocomposite as an anode material for sodium-ion batteries (SIBs) was successfully synthesised using an SbCl3-citrate complex precursor, followed by a drying and calcination process under an inert N2 atmosphere. When the molar ratio of SbCl3 to citric acid was varied from 1 : 1 to 1 : 4, the Sb-C nanocomposite with a molar ratio of 1 : 3 (Sb-C3) exhibited the highest specific surface area (265.97 m<SUP>2</SUP> g<SUP>−1</SUP>) and pore volume (0.158 cm<SUP>3</SUP> g<SUP>−1</SUP>). Furthermore, the Sb-C3 electrode showed a high reversible capacity of 559 mA h g<SUP>−1</SUP> at a rate of C/10 and maintained a high reversible capacity of 430 mA h g<SUP>−1</SUP> even after 195 cycles at a rate of 1C. The Sb-C3 electrode exhibited an excellent rate capability of 603, 445, and 357 mA h g<SUP>−1</SUP> at the rates of C/20, 5C, and 10C, respectively. Furthermore, a full cell composed of an Sb-C3 anode and a Na3V2(PO4)3 cathode exhibited good specific capacity and cyclability, making the Sb-C composite a promising anode material for high-performance SIBs.</P>

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