A Secure Data Transmission Scheme Based on Information Hiding in Wireless Sensor Networks

Baowei Wang,Hongwei Qian,Xingming Sun,Jian Shen,Xiaoyu Xie 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.1

Wireless sensor networks hold the promise of facilitating large-scale and real-time data processing in complex environments, therefore the security is a critical issue that must be resolved. In order to prevent attacks by adversaries with fake identities, we propose a secure data transmission scheme based on information hiding technique. Firstly, one superficial change made to the beacon message of original CTP is to mark the unique identity infor-mation of a sensor node. Secondly, sensitive information is uniformly and randomly embed-ded into the ordinary data by using the space-efficient randomized data structure characteris-tic of Bloom Filter. Experimental results and performance analysis demonstrate that the pro-posed scheme can efficiently detect the malicious node with fake identities through the sensi-tive information. On the other hand, our scheme can protect the sensitive information without affecting the transmission and usability of the ordinary data.

Vibration mitigation of stay cable using optimally tuned MR damper

Hongwei Huang,Limin Sun,Xiaolu Jiang 국제구조공학회 2012 Smart Structures and Systems, An International Jou Vol.9 No.1

Mechanical dampers have been proved to be one of the most effective countermeasures for vibration mitigation of stay cables in various cable-stayed bridges over the world. However, for long stay cables, as the installation height of the damper is restricted due to the aesthetic concern, using passive dampers alone may not satisfy the control requirement of the stay cables. In this connection, semi-active MR dampers have been proposed for the vibration mitigation of long stay cables. Although various studies have been carried out on the implementation of MR dampers on stay cables, the optimal damping performance of the cable-MR damper system has yet to be evaluated. Therefore, this paper aims to investigate the effectiveness of MR damper as a semi-active control device for the vibration mitigation of stay cable. The mathematical model of the MR damper will first be established through a performance test. Then, an efficient semi-active control strategy will be derived, where the damping of MR damper will be tuned according to the dynamic characteristics of stay cable, in order to achieve optimal damping of cable-damper system. Simulation study will be carried out to verify the proposed semi-active control algorithm for suppressing the cable vibrations induced by different loading patterns using optimally tuned MR damper. Finally, the effectiveness of MR damper in mitigating multi modes of cable vibration will be examined theoretically

Parametric identification of a cable-stayed bridge using least square estimation with substructure approach

Hongwei Huang,Limin Sun,Yaohua Yang 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.2

Parametric identification of structures is one of the important aspects of structural health monitoring. Most of the techniques available in the literature have been proved to be effective for structures with small degree of freedoms. However, the problem becomes challenging when the structure system is large, such as bridge structures. Therefore, it is highly desirable to develop parametric identification methods that are applicable to complex structures. In this paper, the LSE based techniques will be combined with the substructure approach for identifying the parameters of a cable-stayed bridge with large degree of freedoms. Numerical analysis has been carried out for substructures extracted from the 2-dimentional (2D) finite element model of a cable-stayed bridge. Only vertical white noise excitations are applied to the structure, and two different cases are considered where the structural damping is not included or included. Simulation results demonstrate that the proposed approach is capable of identifying the structural parameters with high accuracy without measurement noises.

Full-scale experimental verification on the vibration control of stay cable using optimally tuned MR damper

Hongwei Huang,Jiangyun Liu,Limin Sun 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.16 No.6

MR dampers have been proposed for the control of cable vibration of cable-stayed bridge in recent years due to their high performance and low energy consumption. However, the highly nonlinear feature of MR dampers makes them difficult to be designed with efficient semi-active control algorithms. Simulation study has previously been carried out on the cable-MR damper system using a semi-active control algorithm derived based on the universal design curve of dampers and a bilinear mechanical model of the MR damper. This paper aims to verify the effectiveness of the MR damper for mitigating cable vibration through a full-scale experimental test, using the same semi-active control strategy as in the simulation study. A long stay cable fabricated for a real bridge was set-up with the MR damper installed. The cable was excited under both free and forced vibrations. Different test scenarios were considered where the MR damper was tuned as passive damper with minimum or maximum input current, or the input current of the damper was changed according to the proposed semi-active control algorithm. The effectiveness of the MR damper for controlling the cable vibration was assessed through computing the damping ratio of the cable for free vibration and the root mean square value of acceleration of the cable for forced vibration.

Fabrication of Novel CuO Films with Nanoparticles-Aggregated Sphere-Like Clusters on ITO and Their Nonenzymatic Glucose Sensing Applications

Fang Sun,Hongwei Jiang,Ruihua Zhu,Dan Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.2

In this work, novel nanoparticles-aggregated CuO sphere-like clusters were successfully synthesized on indium tin oxide (ITO) glass through a facile two-step procedure consisting of the fabrication of Cu2O films directly grown on ITO surface by electrodeposition, and subsequent calcinations of Cu2O films leading to the formation of CuO films. The morphology and structure of as-synthesized samples were characterized by scanning electron microscopy (SEM) and X-ray diffraction (XRD). It was found that the size of nanoparticles constituting sphere-like clusters structure obtained at 200℃ is much smaller than that of obtained at other temperature, which can provide large surface area for catalytic reaction. The CuO/ITO electrode was applied to detect glucose by cyclic voltammetry (CV) and amperometric detection (i - t). It was found that the obtained CuO films modified ITO electrode exhibited a much higher electrocatalytic activity for the oxidation of glucose in an alkaline medium through heat treatment of 200℃. A favorable performance with a high sensitivity of 1841.5544 µA mM-1 cm-2 to glucose ranging from 1.0 x 10-6 M to 5.0 x 10-4 M, a low operating potential of 0.35V versus Ag/AgCl and a fast amperometric response (within 3 s) were achieved on such CuO/ITO electrode. It also showed outstanding long-term stability and good reproducibility. Notably, poisoning by chloride ions and interference from ascorbic acid, uric acid and acetaminophen were negligible. Therefore, the nanoparticles-aggregated CuO sphere-like clusters would be a promising candidate electrode material for the development of nonenzymatic glucose sensors.

ECTP : An Enhanced Data Collection Protocol based on CTP

Xingming Sun,Hongwei Qian,Baowei Wang,Qi Liu 보안공학연구지원센터(IJGDC) 2013 International Journal of Grid and Distributed Comp Vol.6 No.5

A Coevolutionary Bacterial Foraging Model Using PSO in Job-Shop Scheduling Environments

Liang Sun,Hongwei Ge,Limin Wang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.9

The optimization of job-shop scheduling is very important because of its theoretical and practical significance. In this paper, a computationally effective approach of combining bacterial foraging strategy with particle swarm optimization for solving the minimum makespan problem of job shop scheduling is proposed. In the artificial bacterial foraging system, a novel chemotactic model is designed to address the job shop scheduling problem and a mechanism of quorum sensing and communication are presented to improve the foraging performance. In the particle swarm system, a novel concept for the distance and velocity of a particle is presented to pave the way for the job-shop scheduling problem. The proposed coevolutionary algorithm effectively exploits the capabilities of distributed and parallel computing of swarm intelligence approaches. The algorithm is examined using a set of benchmark instances with various sizes and levels of hardness and compared with other approaches reported in some existing literatures. The computational results validate the effectiveness of the proposed algorithm.

Adsorption of CO on the O_2 pre-adsorbed LaFeO_3 (0 1 0) surface: A density functional theory study

Lihui Sun,Jifan Hu,Ling Zhang,Feng Gao,Yongjia Zhang,Hongwei Qin 한국물리학회 2011 Current Applied Physics Vol.11 No.6

The adsorption of CO molecule on the O_2 pre-adsorbed LaFeO_3 (0 1 0) surface has been investigated using a density functional theory calculation. The calculated results show that the most appropriate reaction occurs between the CO and the pre-adsorbed O_2. After CO adsorption, the bonding mechanism between Fe site and the pre-adsorbed O_2 is not modified, and the HOMO―LUMO energy gap of the M1 mode is narrowed, which is caused by the redistribution of electron density in the surface.

Convergent Stochastic Differential Evolution Algorithms

Liang Sun,Hongwei Ge,Limin Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7

Differential evolution (DE) algorithms have been extensively and frequently applied to solve optimizationproblems. Theoretical analyses of their properties are important to understand the underlying mechanismsand to develop more efficient algorithms. In this paper, firstly, we introduce an absorbing Markovsequence to model a DE algorithm. Secondly, we propose and prove two theorems that provide sufficientconditions for DE algorithm to guarantee converging to the global optimality region. Finally, we design two DE algorithms that satisfy the preconditions of the two theorems, respectively. The two proposed algorithmsare tested on the CEC2013 benchmark functions, and compared with other existing algorithms.Numerical simulations illustrate the converge, effectiveness and usefulness of the proposed algorithms.

Parametric identification of a cable-stayed bridge using least square estimation with substructure approach

Huang, Hongwei,Yang, Yaohua,Sun, Limin Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.2

Parametric identification of structures is one of the important aspects of structural health monitoring. Most of the techniques available in the literature have been proved to be effective for structures with small degree of freedoms. However, the problem becomes challenging when the structure system is large, such as bridge structures. Therefore, it is highly desirable to develop parametric identification methods that are applicable to complex structures. In this paper, the LSE based techniques will be combined with the substructure approach for identifying the parameters of a cable-stayed bridge with large degree of freedoms. Numerical analysis has been carried out for substructures extracted from the 2-dimentional (2D) finite element model of a cable-stayed bridge. Only vertical white noise excitations are applied to the structure, and two different cases are considered where the structural damping is not included or included. Simulation results demonstrate that the proposed approach is capable of identifying the structural parameters with high accuracy without measurement noises.