Influences of magnetic field on the removal of submicron particles in electrostatic cyclone at different temperatures

Jianping Zhang,Xiaolei Lu,Dawen Zhao,Pengju Zhang,Jun Hu,Zhiwei Zhang,Baodong Ren 대한환경공학회 2023 Environmental Engineering Research Vol.28 No.4

Aiming at improving the capture performance of inner vortex electrostatic cyclone (ESC), which is widely used in the field of flue gas purification, magnetic field is introduced to remove submicron particles. The theoretical and physical models of electromagnetic dust removal were established, and the dust-removal efficiency of submicron particles under different temperatures and magnetic fields was numerically simulated by FLUENT. The results show that a rise in temperature leads to a reduction in the grade efficiency of submicron particles of ESC, a decrease in the number of escaped particles at lower temperature, and the differences of the rising amplitude in overall efficiency corresponding to the traditional cyclone, which were 36.7%, 34.8%, 33.8%, and 31.9% at four temperatures. The contribution of temperature to the capture of submicron particles decreases continuously with the increasing temperature, but that of magnetic field progressively increases at this time. The magnetic field environment is conducive to the capture of submicron particles, the removal effect is more obvious with the increase of magnetic flux density, but the ascended ranges of magnetic field and temperature both decrease when it reaches 0.5 T. These results can provide a theoretical basis and a technical reference for the design of ESC.

Constant-stress accelerated life test of white organic light-emitting diode based on least square method under Weibull distribution

Jianping Zhang,Chao Liu,Guoliang Cheng,Xiao Chen,Jionglei Wu,Qunzhi Zhu,Laichang Zhang 한국정보디스플레이학회 2014 Journal of information display Vol.15 No.2

It is currently hard to estimate the reliability parameters of organic light-emitting diodes (OLEDs) when conducting a life test at normal stress, due to the remarkably improved life of OLEDs to thousands hours. This work adopted three constant-stress accelerated life tests (CSALTs) to predict the life of white OLEDs in a short time. TheWeibull function was applied to describe the life distribution, and the shape and scale parameters were estimated using the least square method. The experimental test data were statistically analyzed using a self-developed software. The life of white OLEDs predicted via this software is ingood agreement with that reported from the customers. The numerical results indicated that the assumptions of CSALT are correct, and that CSALT can be used to predict the life of white OLEDs. This work confirmed that the life of white OLEDs meets the Weibull distribution, and that the accelerated life equation conforms to the inverse power law. Furthermore, the precise accelerated parameters were shown to be particularly useful in enabling the rapid estimation of white OLEDs’ life.

Obstacle Avoidance for AGV with Kinect Sensor

Jianping Han,Xiaoxiao Wang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8

Research on the Primary Features of the Internet of Things System and the Corresponding Data Communication Characteristics based on Sparse Coding and Joint Deep Neural Network

Jianping PAN,Wenzhun HUANG,Shanwen ZHANG 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10

In this paper, we conduct research on issues related to the primary features of the Internet of things system and the corresponding data communication characteristics based on sparse coding and joint deep neural network. Internet of things is more than the underlying device difference communication method and it is the Internet of things needs to study in the field of hot issue. Using traditional algorithm for Internet communication equipment need particle filter was carried out on the acquisition of communication signal processing. Communication technology enables the Internet of things will perceive the information between different terminals for efficient transmission and exchange, exchange and sharing and the information resources is the key to the functions of things. To enhance the robustness and efficiency of the current IOT systems, we adopt the sparse coded dictionary learning theory to detect the size of the data and optimize the compressive sensing technique to modify the resolution. With the advances of the deep neural network, we analyze the topology of the system network structure and extract the pattern features and characteristics to make the signal transmission process more quickly and feasible. To enhance the objective function, we obtain the restricted optimization algorithm to help terminate the iteration for the higher efficiency. In the final part, we simulation our algorithm for times compared with other well-performed approaches. The result indicates that our method outperforms both in the accuracy layer an in the time-consuming layer which will hold specific meaning.

Silencing of Long Non-Coding RNA MALAT1 Promotes Apoptosis of Glioma Cells

Jianping Xiang,Shifeng Guo,Shuling Jiang,Yuelong Xu,Jiwei Li,Li Li,Jinyu Xiang 대한의학회 2016 Journal of Korean medical science Vol.31 No.5

The metastasis-associated lung adenocarcinoma transcription 1 (MALAT1) is a highly conserved long non-coding RNA (lncRNA) gene. However, little is known about the pathological role of lncRNA MALAT1 in glioma. In the present study, we explored the expression level of lncRNA MALAT1 in primary glioma tissues as well as in U87 and U251 glioma cell lines. Using qRT-PCR, we found that the expression of lncRNA MALAT1 was significantly increased in glioma tissues compared with that of paracancerous tissues. Meanwhile, the expression of MALAT1 was highly expressed in U98 and U251 cells. In order to explore the function of MALAT1, the expression of MALAT1 was greatly reduced in U87 and U251 cells transfected with siRNA specifically targeting MALAT1. Consequently, cell viability of U87 and U251 cells were drastically decreased after the knockdown of MALAT1. Concomitantly, the apoptosis rate of the two cell lines was dramatically increased. Furthermore, the expression levels of some tumor markers were reduced after the knockdown of MALAT1, such as CCND1 and MYC. In summary, the current study indicated a promoting role of MALAT1 in the development of glioma cell.

Overlapped Segmental Clipping for the PAPR Reduction of the OFDM-OQAM system

( Jianping Wang ),( Jing Yan ),( Zhen He ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8

Orthogonal frequency division multiplexing with offset quadrature amplitude modulation (OFDM-OQAM) technique has drawn significant interests in recent years. However, most of the existing OFDM peak-to-average ratio (PAPR) reduction schemes cannot be used in the OFDM-OQAM system directly. In this paper, a modified scheme called overlapped segmental clipping (OS-clipping) is proposed to deal with the high PAPR problem specifically in the OFDM-OQAM system. For the proposed OS-clipping scheme, the input signals are divided into a number of overlapped segments and then the clipping operation is processed on each segment. Simulation results show that the modified scheme used in the OFDM-OQAM system can provide better performance than conventional clipping scheme directly used in the OFDM-OQAM system, and even outperforms conventional clipping scheme applied in the OFDM system.

Denoising Mapping Utilizing Constellation Symmetry in Denoise-and-Forward Two-Way Relay Channels

Jianping Zheng,Baoming Bai,Ying Li 한국전자통신연구원 2012 ETRI Journal Vol.34 No.4

The denoising mapping with the closest-neighbor clustering (CNC) method in denoise-and-forward two-way relay channels is studied. Specifically, the symmetry of the constellations in source terminals A and B is utilized to reduce the complexity of the CNC method. The specific case considered first to illustrate how the constellation symmetry works in the CNC method is the quadrature phase-shift keying constellation in A and B and the single-antenna deployment in all terminals. This case study shows that an enormous complexity reduction can be achieved. Next, the result is extended to multiple-antenna scenarios and square quadrature amplitude modulations.

Lossy Source Compression of Non-Uniform Binary Source via Reinforced Belief Propagation over GQ-LDGM Codes

Jianping Zheng,Baoming Bai,Ying Li 한국전자통신연구원 2010 ETRI Journal Vol.32 No.6

In this letter, we consider the lossy coding of a non-uniform binary source based on GF(q)-quantized low-density generator matrix (LDGM) codes with check degree dc=2. By quantizing the GF(q) LDGM codeword, a non-uniform binary codeword can be obtained, which is suitable for direct quantization of the non-uniform binary source. Encoding is performed by reinforced belief propagation, a variant of belief propagation. Simulation results show that the performance of our method is quite close to the theoretic rate-distortion bounds. For example, when the GF(16)-LDGM code with a rate of 0.4 and block-length of 1,500 is used to compress the non-uniform binary source with probability of 1 being 0.23, the distortion is 0.091, which is very close to the optimal theoretical value of 0.074.

Clipping Value Estimate for Iterative Tree Search Detection

Jianping Zheng,Baoming Bai,Ying Li 한국통신학회 2010 Journal of communications and networks Vol.12 No.5

The clipping value, defined as the log-likelihood ratio (LLR) in the case wherein all the list of candidates have the same binary value, is investigated, and an effective method to estimate it is presented for iterative tree search detection. The basic principle behind the method is that the clipping value of a channel bit is equal to the LLR of the maximum probability of correct decision of the bit to the corresponding probability of erroneous decision. In conjunction with multilevel bit mappings, the clipping value can be calculated with the parameters of the number of transmit antennas,Nt; number of bits per constellation point, Mc; and variance of the channel noise, σ2, per real dimension in the Rayleigh fading channel. Analyses and simulations show that the bit error performance of the proposed method is better than that of the conventional fixed-value method.

A Study on Anisotropic Characteristics of Representative Elementary Volumes of Rock Mass

( Jianping Chen ),( Ying Liu ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2

Asymmetric, anisotropy, irregular, discontinuity is the basic properties of rock mass due to the fractures extensive universal developed, that gives rise to complicated physical and mechanical behavior of rock mass, strength of rock mass is influenced by size effect, representative elementary volumes (RVE) has a very close relationship with the size effect of the rock mass, RVE value is calculated in different direction, the result shows that the RVE also has the anisotropic characteristics. Field observation value of fractures is obtained by the method of sampling windows during the field geological survey, then, the statistical homogenous zones is demarcated based on Miller’s method, the bias of observed trace length, orientation and spacing of fractures is corrected in each homogenous unit, and then a three dimensional fracture network models for different homogenous unit are established by using Monte-Carlo method. The REV of rock mass is calculated based on the three-dimensional fracture network. Based on the 3D fracture network model, the volume fracture intensity index (P32) and multisampling non-parametric statistical test method are used to analyze the REV characteristics in different sampling directions. With the increase of the number of fracture groups, the anisotropic characteristics of REV become more obvious. Acknowledgments This work was supported by the State key program of National Natural Science Fund of China-Yunnan Joint Fund (Grant No. U1702241).