期刊：
International Journal of Intelligent Systems,2022年37(12):11299-11318 ISSN：0884-8173
通讯作者：
Rong Tan<&wdkj&>Rong Tan Rong Tan Rong Tan
作者机构：
[Tan, Rong; Si, Wen] Shanghai Business Sch, Dept IoT Engn, Shanghai, Peoples R China.;[Yang, Gelan] Hunan City Univ, Dept Informat Sci & Engn, Yiyang, Peoples R China.
通讯机构：
[Rong Tan; Rong Tan Rong Tan Rong Tan] D;Department of IoT Engineering, Shanghai Business School, Shanghai, China
关键词：
center of pressure;fall detection;IoT system;security strategy;smart home
摘要：
In the field of motion monitoring in smart home, the 5G technology can be applied to Internet of Things systems for facilitating our daily life. In this paper, a comprehensive study on the fall detection system based on 5G network is presented. Starting with analyzing the moving stability, a wearable foot pressure measurement system is devised. Furthermore, the center of pressure during moving is computed by using the pressure data. Besides, the signal transmitting security issue is also considered. The physical layer security authentication and the cross-layer encryption are employed and integrated within the security strategy. As a case study, we evaluate the proposed method on fall detection tasks in smart home and the experimental results establish strong evidence of a satisfying performance.
作者机构：
[Ou, Yun] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiangtan 411201, Peoples R China.;[Wu, Yingying; Ou, Yun] Hunan Univ Sci & Technol, Sch Mat Sci & Engn, Xiangtan 411201, Peoples R China.;[Peng, Jinlin] Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices Key, Yiyang 413002, Peoples R China.
通讯机构：
[Jinlin Peng] A;[Yun Ou] H;Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Materials Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>All-Solid-State Energy Storage Materials and Devices Key Laboratory of Hunan Province, College of Information and Electronic Engineering, Hunan City University, Yiyang 413002, China
关键词：
misfit strain;PIN-PMN-PT;electrocaloric effect;ferroelectric thin films
摘要：
xPb(In1/2Nb1/2)O-3-(1-x-y)Pb(Mg1/3Nb2/3)O-3-yPbTiO(3) (PIN-PMN-PT) bulks possess excellent electromechanical coupling and dielectric properties, but the corresponding epitaxial PIN-PMN-PT thin films have not yet been explored. This paper adopts a nonlinear thermodynamics analysis to investigate the influences of misfit strains on the phase structures, electromechanical properties, and electrocaloric responses in epitaxial PIN-PMN-PT thin films. The misfit strain-temperature phase diagram was constructed. The results reveal that the PIN-PMN-PT thin films may exist in tetragonal c-, orthorhombic aa-, monoclinic M-, and paraelectric PE phases. It is also found that the c-M and aa-PE phase boundaries exhibit a superior dielectric constant epsilon(11) which reached 1.979 x 10(6) with u(m) = -0.494%, as well as the c-M phase boundary showing a large piezoelectric response d(15) which reached 1.64 x 10(5) pm/V. In comparison, the c-PE and M-aa phase boundaries exhibit a superior dielectric constant epsilon(33) over 1 x 10(5) around um = 0.316% and the piezoelectric response d(33) reached 7235 pm/V. The large electrocaloric responses appear near the paraelectric- ferroelectric phase boundary. These insights offer a guidance for experiments in epitaxial PIN-PMN-PT thin films.
通讯机构：
[Hongli Liu] C;College of Electrical and Information Engineering, Hunan University, Changsha 410082, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
deep learning;facial landmark detector;fatigue driving recognition;multi-scale
摘要：
Fatigue driving behavior recognition in all-weather real driving environments is a challenging task. Accurate recognition of fatigue driving behavior is helpful to improve traffic safety. The facial landmark detector is crucial to fatigue driving recognition. However, existing facial landmark detectors are mainly aimed at stable front face color images instead of side face gray images, which is difficult to adapt to the fatigue driving behavior recognition in real dynamic scenes. To maximize the driver’s facial feature information and temporal characteristics, a fatigue driving behavior recognition method based on a multi-scale facial landmark detector (MSFLD) is proposed. First, a spatial pyramid pooling and multi-scale feature output (SPP-MSFO) detection model is built to obtain a face region image. The MSFLD is a lightweight facial landmark detector, which is composed of convolution layers, inverted bottleneck blocks, and multi-scale full connection layers to achieve accurate detection of 23 key points on the face. Second, the aspect ratios of the left eye, right eye and mouth are calculated in accordance with the coordinates of the key points to form a fatigue parameter matrix. Finally, the combination of adaptive threshold and statistical threshold is used to avoid misjudgment of fatigue driving recognition. The adaptive threshold is dynamic, which solves the problem of the difference in the aspect ratio of the eyes and mouths of different drivers. The statistical threshold is a supplement to solve the problem of driver’s low eye threshold and high mouth threshold. The proposed methods are evaluated on the Hunan University Fatigue Detection (HNUFDD) dataset. The proposed MSFLD achieves a normalized mean error value of 5.4518%, and the accuracy of the fatigue driving recognition method based on MSFLD achieves 99.1329%, which outperforms that of state-of-the-art methods.
期刊：
Journal of Luminescence,2021年240:118419 ISSN：0022-2313
通讯作者：
Weiping Zhou<&wdkj&>Chunlin Ma
作者机构：
[Zhou, Weiping] Nanchang Univ, Sch Mat Sci & Engn, Nanchang 330031, Jiangxi, Peoples R China.;[Zhai, Zhangyin; Ma, Chenyu; Ma, Chunlin] Huaiyin Normal Univ, Sch Phys & Elect Elect Engn, Huaian 223001, Peoples R China.;[Tan, Weishi] Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices Key, Yiyang 413002, Peoples R China.
通讯机构：
[Weiping Zhou; Chunlin Ma] S;School of Materials Science and Engineering, Nanchang University, Nanchang, 330031, People's Republic of China<&wdkj&>School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huaian, 223001, People's Republic of China
关键词：
Photoluminescence;Ferroelectricity;0.92(Na0.5Bi0.5)TiO3-0.08 (Ba0.90Ca0.10)(Ti0.92Sn0.08)O-3: Sm3+;Optical temperature sensing
摘要：
A series of Sm3+ doped 0.92(Na0.5Bi0.5)TiO3-0.08(Ba0.90Ca0.10)(Ti0.92Sn0.08)O-3 (NBT-8BCTS: xSm(3+), x = 0-0.025) lead-free piezoelectric ceramics are fabricated via a conventional solid-state reaction method, and their phase structure, photoluminescence properties and temperature dependent of luminescence spectra are studied in detail. The emission spectra with dominant orange-red emission consist of four emission peaks at 542 nm, 598 nm, 644 nm and 709 nm, which are ascribed to the (4)G(5/2) (->) H-6(J/2) (J = 5, 7, 9, 11) transition of Sm3+ ions, respectively. Furthermore, the optical temperature sensing properties of the NBT-8BCTS: 0.01Sm(3+) ceramic in the temperature range between 313 K and 533 K are analyzed with a maximum relative sensitivity 1.29%K-1 at T = 463 K. Besides, the phosphors exhibit excellent stable temperature sensing performance under repeated heat-cooling cycles. These results suggest that the Sm3+ doped NBT-8BCTS ceramics may have potential applications in multifunctional sensing devices by integrating its optical temperature sensing and intrinsic ferroelectric property.
通讯机构：
[Chengfeng Long; Xiaoyong Tang] S;School of Information and Intelligence Science and Technology, Hunan Agricultural University, Changsha, China<&wdkj&>School of Computer and Communications Engineering, Changsha University of Science and Technology, Changsha, China
摘要：
Considering the issue with respect to the high data redundancy and high cost of information collection in wireless sensor nodes, this paper proposes a data fusion method based on belief structure to reduce attribution in multi-granulation rough set. By introducing belief structure, attribute reduction is carried out for multi-granulation rough sets. From the view of granular computing, this paper studies the evidential characteristics of incomplete multi-granulation ordered information systems. On this basis, the positive region reduction, belief reduction and plausibility reduction are put forward in incomplete multi-granulation ordered information system and analyze the consistency in the same level and transitivity in different levels. The positive region reduction and belief reduction are equivalent, and the positive region reduction and belief reduction are unnecessary and sufficient conditional plausibility reduction in the same level, if the cover structure order of different levels are the same the corresponding equivalent positive region reduction. The algorithm proposed in this paper not only performs three reductions, but also reduces the time complexity largely. The above study fuses the node data which reduces the amount of data that needs to be transmitted and effectively improves the information processing efficiency.
期刊：
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,2021年2021(1):1-19 ISSN：1687-1472
通讯作者：
Shuguang Deng
作者机构：
[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.;[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Hunan City Univ, Key Lab City Comp & IoT, Yiyang 413000, Peoples R China.;[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Engn Res Ctr DongTing Lake Reg Ecol Environm Inte, Yiyang 413000, Peoples R China.
通讯机构：
[Shuguang Deng] C;College of Information and Electronic Engineering, Hunan City University, Yiyang, China<&wdkj&>Key Laboratory of City Computing and IoT, Hunan City University, Yiyang, China<&wdkj&>Engineering Research Center of DongTing Lake Regional Ecological Environment Intelligent Monitoring and Disaster Prevention and Mitigation, Yiyang, China
关键词：
Software defined sensor network;Cluster;Node mobility;Centralization
摘要：
The distributed clustering method is widely used to extend network lifetime in traditional wireless sensor networks. However, it is difficult to achieve the idea performance of the whole network, such as transmission rate, energy consumption, and control overhead, neglecting the global stability of the network. To tackle this problem, a centralized mobility-based clustering (CMBC) protocol is proposed in the software defined sensor network. The method of CMBC mainly consists of two aspects: first, CMBC clusters the nodes with the connection time between the mobile nodes (i.e., noncluster head nodes, non-CH) and the cluster head (CH) and establishes stable topological structures between the non-CHs and the CH; second, when emergencies occur, the centralization management control center sends the configuration files to replace the CH. Compared to the distributed network of MBC, WCRA and IMP-MECA protocol, the proposed method can be applied in scenarios with high-speed mobile nodes to improve the network performance in terms of transmission successful rate, average power consumption, and average control overhead.
作者机构：
[张赛文; 邓亚琦; 王冲; 冷潇泠; 张光富; 文兵; 邓杨保; 谭伟石; 田野; 李稳国] School of Information and Electronics Engineering, Hunan City University, Yiyang;413000, China;All-solid-state Energy Storage Materials and Devices Key Laboratory of Hunan Province, Hunan City University, Yiyang;[张赛文; 邓亚琦; 王冲; 冷潇泠; 张光富; 文兵; 邓杨保; 谭伟石; 田野; 李稳国] 413000, China<&wdkj&>All-solid-state Energy Storage Materials and Devices Key Laboratory of Hunan Province, Hunan City University, Yiyang;[张赛文; 邓亚琦; 王冲; 冷潇泠; 张光富; 文兵; 邓杨保; 谭伟石; 田野; 李稳国] 413000, China
通讯机构：
[Deng, Y.] S;[Deng, Y.] A;All-solid-state Energy Storage Materials and Devices Key Laboratory of Hunan Province, China;School of Information and Electronics Engineering, China
摘要：
In this paper, we investigated the electromagnetically induced phase grating in a four-level quantum system with closed loop configuration via relative phase between applied fields. We found that the diffraction intensity can be adjusted via intensities and relative phase of applied lights. We also studied separately the diffraction patterns of amplitude and phase modulations of the probe light by controlling the intensity of cycling field. We found that the probe energy can transfer from zero order to high orders of diffraction when the phase modulation of the probe light becomes important. This study may be used for application in novel photonic devices in future quantum information processing.
期刊：
Journal of Circuits, Systems and Computers,2021年30(16):2150301 ISSN：0218-1266
通讯作者：
Wangdong Yang
作者机构：
[Yang, Wangdong] College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China;[Cao, Buwen; Zhou, Honglie; He, Chenjun] College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, P. R. China;[Xiao, Sainan] College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, P. R. China
通讯机构：
[Wangdong Yang] C;College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China
关键词：
Color difference;low-quality image;partial enhancement;parallel computing
摘要：
Finding an effective license plate localization (LPL) method is challenging owing to different conditions during the image acquisition phase. Most existing methods do not consider various low-quality image conditions that exist in real-world situations. Low-quality image conditions mean that an image can have low resolution, plate imperfection effects, variable illumination environments or background objects similar to the license plate (LP). To improve the anti-interference ability and the speed performance of algorithm, this study aims to develop a parallel partial enhancement method based on color differences that demonstrates improved localization performance for blue–white LP images under low-quality conditions. A novel color difference model is exploited to enhance LP areas and filter non-LP areas. Blue–white color ratio and projection analysis are performed to select the exact LP area from the candidates. Moreover, this study develops a parallel version based on a multicore CPU for real-time processing for industrial applications. An image database including 395 low-quality car images captured from various scenes under different conditions is tested for the performance evaluation. The extensive experiments show the effectiveness and efficiency of the proposed approach.
期刊：
Journal of Materials Science: Materials in Electronics,2021年32(1):745-751 ISSN：0957-4522
通讯作者：
Zhang, Zhengzhong;Tan, Weishi
作者机构：
[Liu, Hao; Zhang, Zhengzhong] Huaiyin Inst Technol, Fac Appl Technol, Huaian 223003, Peoples R China.;[Wang, Ya] Shanghai Urban Construct Vocat Coll, Shanghai 201415, Peoples R China.;[Dong, Liming] Changshu Inst Technol, Sch Automat Engn, Changshu 215500, Jiangsu, Peoples R China.;[Wang, Haiou] Hangzhou Dianzi Univ, Inst Mat Phys, Hangzhou 310018, Peoples R China.;[Zhang, Yun] Nanjing Univ Sci & Technol, Dept Appl Phys, Nanjing 210094, Peoples R China.
通讯机构：
[Zhang, Zhengzhong; Tan, Weishi] H;Huaiyin Inst Technol, Fac Appl Technol, Huaian 223003, Peoples R China.;Hunan City Univ, All Solid State Energy Storage Mat & Devices Key, Coll Commun & Elect Engn, Yiyang 413002, Peoples R China.
