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Shen, Junmou,Lin, Jian,Gong, Jian,Li, Ruiqu The Society for Aerospace System Engineering 2015 International Journal of Aerospace System Engineer Vol.2 No.2
The starting processes of the Ludwieg tube hypersonic quiet tunnel plays very important role in the achievement of the quiet flow in the test section, which could affect the confidence coefficient of the data in the hypersonic transition experimental investigations. Thus, numerical analysis on that processes could help to understanding the running mode of the Ludwieg tube quiet tunnel and the propagation principle of the expansion wave series. To verify our computational method, the same parameter of the BAM6QT (the Boeing/AFOSR Mach-6 quiet tunnel at Purdue University) is used to compute, and it is agrees with our computational results.
A Priority Routing Protocol Based on Location and Moving Direction in Delay Tolerant Networks
SHEN, Jian,MOH, Sangman,CHUNG, Ilyong The Institute of Electronics, Information and Comm 2010 IEICE transactions on information and systems Vol.93 No.10
<P>Delay Tolerant Networks (DTNs) are a class of emerging networks that experience frequent and long-duration partitions. Delay is inevitable in DTNs, so ensuring the validity and reliability of the message transmission and making better use of buffer space are more important than concentrating on how to decrease the delay. In this paper, we present a novel routing protocol named <I>Location and Direction Aware Priority Routing (LDPR)</I> for DTNs, which utilizes the location and moving direction of nodes to deliver a message from source to destination. A node can get its location and moving direction information by receiving beacon packets periodically from anchor nodes and referring to received signal strength indicator (RSSI) for the beacon. LDPR contains two schemes named transmission scheme and drop scheme, which take advantage of the nodes' information of the location and moving direction to transmit the message and store the message into buffer space, respectively. Each message, in addition, is branded a certain priority according to the message's attributes (e.g. importance, validity, security and so on). The message priority decides the transmission order when delivering the message and the dropping sequence when the buffer is full. Simulation results show that the proposed LDPR protocol outperforms epidemic routing (EPI) protocol, prioritized epidemic routing (PREP) protocol, and DTN hierarchical routing (DHR) protocol in terms of packet delivery ratio, normalized routing overhead and average end-to-end delay. It is worth noting that LDPR doesn't need infinite buffer size to ensure the packet delivery ratio as in EPI. In particular, even though the buffer size is only 50, the packet delivery ratio of LDPR can still reach 93.9%, which can satisfy general communication demand. We expect LDPR to be of greater value than other existing solutions in highly disconnected and mobile networks.</P>
Enhanced Secure Sensor Association and Key Management in Wireless Body Area Networks
Jian Shen,Haowen Tan,모상만,정일용,Qi Liu,Xingming Sun 한국통신학회 2015 Journal of communications and networks Vol.17 No.5
Body area networks (BANs) have emerged as an enabling technique for e-healthcare systems, which can be used to continuously and remotely monitor patients’ health. In BANs, the data of a patient’s vital body functions and movements can be collected by small wearable or implantable sensors and sent using shortrange wireless communication techniques. Due to the shared wireless medium between the sensors in BANs, it may be possible to have malicious attacks on e-healthcare systems. The security and privacy issues of BANs are becoming more and more important. To provide secure and correct association of a group of sensors with a patient and satisfy the requirements of data confidentiality and integrity in BANs, we propose a novel enhanced secure sensor association and key management protocol based on elliptic curve cryptography and hash chains. The authentication procedure and group key generation are very simple and efficient. Therefore, our protocol can be easily implemented in the power and resource constrained sensor nodes in BANs. From a comparison of results, furthermore, we can conclude that the proposed protocol dramatically reduces the computation and communication cost for the authentication and key derivation compared with previous protocols. We believe that our protocol is attractive in the application of BANs.
Shen, Jian-Qing,Yuan, Lei,Chen, Ming-Liang,Xie, Zhen The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.5
A novel equivalent flux sliding-mode observer (SMO) is proposed for dual three-phase interior permanent magnet synchronous motor (DT-IPMSM) drive system in this paper. The DT-IPMSM has two sets of Y-connected stator three-phase windings spatially shifted by 30 electrical degrees. In this method, the sensorless drive system employs a flux SMO with soft phase-locked loop method for rotor speed and position estimation, not only are low-pass filter and phase compensation module eliminated, but also estimation accuracy is improved. Meanwhile, to get the regulator parameters of current control, the inner current loop is realized using a decoupling and diagonal internal model control algorithm. Experiment results of 2MW-level DT-IPMSM drives system show that the proposed method has good dynamic and static performances.
Facial Expression Recognition Method Based on Residual Masking Reconstruction Network
Jianing Shen,Hongmei Li 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.3
Facial expression recognition can aid in the development of fatigue driving detection, teaching qualityevaluation, and other fields. In this study, a facial expression recognition method was proposed with a residualmasking reconstruction network as its backbone to achieve more efficient expression recognition andclassification. The residual layer was used to acquire and capture the information features of the input image,and the masking layer was used for the weight coefficients corresponding to different information features toachieve accurate and effective image analysis for images of different sizes. To further improve the performanceof expression analysis, the loss function of the model is optimized from two aspects, feature dimension anddata dimension, to enhance the accurate mapping relationship between facial features and emotional labels. Thesimulation results show that the ROC of the proposed method was maintained above 0.9995, which canaccurately distinguish different expressions. The precision was 75.98%, indicating excellent performance ofthe facial expression recognition model.