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The lattice reduction aided(LRA) algorithm has attracted widely attention of researchers in MIMO systems because of its low complexity to achieve full diversity. However, most lattice reduction auxiliary algorithms do not directly improve system performance. In this paper, a modified lattice reduction successive interference cancellation (SIC) algorithm is proposed for MIMO OFDM system mild changing the complexity of LRA algorithm. At present, the MMSE SQRD algorithm has the problem of regarding too much useful signals as the residual interference which cannot be cancelled by successive interference cancellation. Since the diagonal elements of useful signals are non-zero, the components of the symbols to be detected still present in the interference term, treating all the signals as interference will be resulted in performance loss. To solve this problem, the modified matrix is proposed.by moving this symbol component into the signal term, the proposed algorithm can provide the better performance than MMSE SQRD algorithm. The analysis shows that the LRA-MMSE-SIC algorithm of proposed in this paper significantly improves the system performance with mild increasing the complexity. The simulation results show that the performance of the proposed algorithm is improved by 1dB and 8dB compared with the comparison algorithm when the bit error rate is 10−3.

In recent years, convolutional neural networks (CNNs) have been introduced for pixel-wise hyperspectral image (HSI) classification tasks. However, some problems of the CNNs are still insufficiently addressed, such as the receptive field problem, small sample problem, and feature fusion problem. To tackle the above problems, we proposed a two-branch convolutional neural network with a polarized full attention mechanism for HSI classification. In the proposed network, two-branch CNNs are implemented to efficiently extract the spectral and spatial features, respectively. The kernel sizes of the convolutional layers are simplified to reduce the complexity of the network. This approach can make the network easier to be trained and fit the network to small sample size conditions. The one-shot connection technique is applied to improve the efficiency of feature extraction. An improved full attention block, named polarized full attention, is exploited to fuse the feature maps and provide global contextual information. Experimental results on several public HSI datasets confirm the effectiveness of the proposed network.

Weighted gene co-expression network analysis (WGCNA) is a classic systematic biological method, which can be used to identify co-expressed modules, investigate relationships between modules and specific traits, and screen hub genes in the networks. Verticillium wilt, caused by the fungal pathogen Verticillium dahliae , can cause severe fibre quality reduction and yield loss of cotton. Studying on cotton genes and molecular mechanisms related to defense responses against V. dahliae can shed light on cotton breeding. In this study, 21 transcriptome data of Gossypium barbadense seedling roots infected by V. dahliae were used to investigate differentially expressed genes (DEGs). By filtering out the genes with low variation, 35,647 genes were selected for WGCNA. In total, 22,850 DEGs were identified under V. dahliae infection, with 4685 in common at all inoculated time points. Co-expression network analysis identified 18 modules, in which five modules significantly associated with V. dahliae infection (black, mediumpurple3, darkolivegreen, plum3 positively correlated with the 2 h, 6 h, 48 h, and 72 h inoculated time points, respectively; mediumpurple2 negatively correlated with the 2 h inoculated time point). GO and KEGG enrichment analysis were performed on these five specific modules, which could be enriched in GO terms and metabolic pathways, such as cellular response to stimulus, calcium ion binding and flavonoid biosynthesis. The hub genes were screened by calculating gene connectivity in the corresponding networks, and they may play important roles in the resistance against biotic/abiotic stresses. In summary, by WGCNA, a few defense-related co-expressed modules and hub genes were identified. The results of this study would be beneficial for further understanding of the molecular mechanisms of pathogen resistance in cotton, and provide new gene resources for cotton breeding in the future.

This paper presents a systematic methodology to optimise the geometry of a three-body hinge-barge wave energy converter, to maximise the energy extraction of the device in given sea states and in site specific wave climates. To that end, a 5-degree-of-freedom mathematical model is proposed to describe the system dynamics in two-dimensional space and a two-layer optimisation is designed to find the optimal design and control variables. The inner-layer optimisation is used to find the optimal control parameters of the power take-off system and the outer-layer optimisation, which uses a genetic algorithm, is employed to find the optimal design parameters of barge lengths and of optimal ballast positioning. In the case study, this methodology is applied to a 1:20 scale prototype of the McCabe Wave Pump device. Numerical results indicate that the optimal dimensions of the device, under given sea states, can be found efficiently and accurately, and that there appears to be no obvious benefit in the use of three barges, over a two-barge system.

With the development of enterprises and their gradual growth, their device terminals continue to expand in terms of types, numbers, and application ranges. The form of terminal security protection is becoming increasingly severe, and terminal vulnerabilities and viruses emerge endlessly. A high-quality, efficient, and secure corporate network and terminal environment is an important guarantee for the sound development of enterprises. However, the commonly used monitoring methods of existing equipment terminals, especially the detection methods for encrypted traffic, have been unable to meet the needs of some enterprises for real-time monitoring, rapid identification and timely blocking of high-risk behaviors of terminals. In this paper, an encryption traffic monitoring method for end users is proposed to realize abnormal user traffic detection. Deep neural network model is used to extract communication data features and abnormal traffic features for similarity comparison, so as to judge whether it is abnormal traffic.

In order to obtain a large modified zone with uniform microstructure and good comprehensive properties, single-side and double-side friction stir processings of Mg-Zn-Y-Nd alloy thick plate were carried out, and the microstructure and properties of the processed plates were studied. The results show that the microstructure of the alloy is obviously refined after friction stir processing. The average grain sizes of the upper, mid and lower samples in the stirring zone after single-side and double-side friction stir processings are 4.45 μm, 5.08 μm,5.30 μm and 3.93 μm, 3.20 μm and 3.19 μm respectively. Compared with the homogenizing annealing alloy and single-side friction stir processed alloy, the microstructure of the double-side friction stir processed alloy is more uniform and fine, and the tensile strength and elongation of the lower stirring zone are the highest, 283.3 MPa and 23.9% respectively, and also the corrosion resistance is the best. The corrosion mode is changed from pitting corrosion to uniform corrosion.

Supplemental material, sj-docx-1-cix-10.1177_11769351211027592 for Re-Evaluate Fusion Genes in Prostate Cancer by Ting Wei, Ji Lu, Tao Ma, Haojie Huang, Jean-Pierre Kocher and Liguo Wang in Cancer Informatics

During the machining of powder metallurgy (PM) superalloy parts, the machined surface bears severe plastic deformation which leads to the transformation of microstructure and mechanical properties. White layer which reflects the transformation of microstructure and mechanical properties, often appears on the top of machined surface during hard machining of PM superalloy. White layer has significant effect on the machined surface integrity. The effects of cutting speed on the white layer formation have been investigated in order to reveal the transformation of the microstructure and mechanical properties in the machined surface of PM superalloy FGH95. Results show that white layer thickness increases with the increasing of cutting speed. The machined surface exhibits densification with no obvious structural characteristics. FGH95 superalloy bulk material exists in the form of Ni-based solid solution, while the microstructure of white layer is significantly different from that of bulk materials. It's because of the microstructure of Ni-based solid solution which has transformed during the cutting of FGH95. The higher the cutting speed is, the more obvious the grain refinement is. A higher cutting speed could also lead to higher values of hardness in white layer. Residual stresses in the machined surface of FGH95 are tensile in all cutting conditions, which show an increasing trend with the increasing of cutting speed. This research can provide the theoretical basis for the investigation and controlling of machined surface quality.

As one of the largest plant-specific gene families, the NAC transcription factor gene family plays important roles in various plant physiological processes that are related to plant development, hormone signaling, and biotic and abiotic stresses. However, systematic investigation of the NAC gene family in sea-island cotton (Gossypium babardense L.) has not been reported, to date. The recent release of the complete genome sequence of sea-island cotton allowed us to perform systematic analyses of G. babardense NAC GbNAC) genes. In this study, we performed a genome-wide survey and identified 270 GbNAC genes in the sea-island cotton genome. Genome mapping analysis showed that GbNAC genes were unevenly distributed on 26 chromosomes. Through phylogenetic analyses of GbNACs along with their Arabidopsis counterparts, these proteins were divided into 10 groups (I–X), and each contained a different number of GbNACs with a similar gene structure and conserved motifs. One hundred and fifty-four duplicated gene pairs were identified, and almost all of them exhibited strong purifying selection during evolution. In addition, various cis-acting regulatory elements in GbNAC genes were found to be related to major hormones, defense and stress responses. Notably, transcriptome data analyses unveiled the expression profiles of 62 GbNAC genes under Verticillium wilt (VW) stress. Furthermore, the expression profiles of 15 GbNAC genes tested by quantitative real-time PCR (qPCR) demonstrated that they were sensitive to methyl jasmonate (MeJA) and salicylic acid (SA) treatments and that they could be involved in pathogen-related hormone regulation. Taken together, the genome-wide identification and expression profiling pave new avenues for systematic functional analysis of GbNAC candidates, which may be useful for improving cotton defense against VW.

NAC genes, specific to plants, play important roles in plant development as well as in response to biotic and abiotic stresses. Here, a novel gene encoding a NAC domain, named as GhSNAC3, was isolated from upland cotton (Gossypium hirsutum L.). Sequence analyses showed that GhSNAC3 encodes a protein of 346 amino acids with an estimated molecular mass of 38.4 kDa and pI of 8.87. Transient localization assays in onion epidermal cells confirmed GhSNAC3 is a nuclear protein. Transactivation studies using a yeast system revealed that GhSNAC3 functions as a transcription activator. Quantitative real-time polymerase chain reaction analysis indicated that GhSNAC3 was induced by high salinity, drought and abscisic acid treatments. We overexpressed GhSNAC3 in tobacco by using Agrobacterium-mediated transformation. Transgenic lines produced longer primary roots and more fresh weight under salt and drought stresses as compared to wild-type plants. Collectively, our results indicated that overexpression of GhSNAC3 in tobacco can enhance drought and salt tolerances.

Lots of heat generated in the cutting deformation zone can cause the temperature rising of cutting tool and workpiece during the cutting process. Tool temperature is mainly depended on the heat energy entering into tool in the secondary deformation zone. Higher working temperature can weaken the cutting tool strength and then deteriorate the tool wear. Advanced coating layer deposited on the tool substrate can change the tool-chip friction and affect the heat partition in the tool-chip interface. In order to reveal the mechanism of heat conduction in the secondary deformation zone, the model of heat partition into cutting tool was built. With the aid of finite element method (FEM), the relative parameters which were necessary for the solving of heat partition model were quantified. Actual cutting experiments were carried out to the verification of the FEM models by means of the cutting force and temperature measurement. Influences of coatings (i.e., coating materials, coating thickness) and cutting speeds on the heat partition were analyzed. And then, rake face temperatures obtained at four kinds of coated tools were compared. The investigation results showed that TiC coating appears as the maximum value and Al2O3 coating appears as the minimum value of heat partition coefficient into cutting tool among these four kinds of coatings (i.e., TiC, TiN, TiAlN, Al2O3). With the increasing of coating thickness and cutting speeds, heat partition into cutting tool all showed a decrease trend. Al2O3-coated tool had the maximum rake face temperature among these four kinds of coated tools; however, the location of peak temperature on the rake face of Al2O3-coated tool was the shortest distance from the tool tip.

In this paper, a novel framework of the 3D reconstruction of buildings is proposed, focusing on remote sensing super-generalized stereo-pairs (SGSPs). As we all know, 3D reconstruction cannot be well performed using nonstandard stereo pairs, since reliable stereo matching could not be achieved when the image-pairs are collected at a great difference of views, and we always failed to obtain dense 3D points for regions of buildings, and cannot do further 3D shape reconstruction. We defined SGSPs as two or more optical images collected in less constrained views but covering the same buildings. It is even more difficult to reconstruct the 3D shape of a building by SGSPs using traditional frameworks. As a result, a dynamic multi-projection-contour approximating (DMPCA) framework was introduced for SGSP-based 3D reconstruction. The key idea is that we do an optimization to find a group of parameters of a simulated 3D model and use a binary feature-image that minimizes the total differences between projection-contours of the building in the SGSPs and that in the simulated 3D model. Then, the simulated 3D model, defined by the group of parameters, could approximate the actual 3D shape of the building. Certain parameterized 3D basic-unit-models of typical buildings were designed, and a simulated projection system was established to obtain a simulated projection-contour in different views. Moreover, the artificial bee colony algorithm was employed to solve the optimization. With SGSPs collected by the satellite and our unmanned aerial vehicle, the DMPCA framework was verified by a group of experiments, which demonstrated the reliability and advantages of this work.

In this paper, a novel framework of the 3D reconstruction of buildings is proposed, focusing on remote sensing super-generalized stereo-pairs (SGSPs). As we all know, 3D reconstruction cannot be well performed using nonstandard stereo pairs, since reliable stereo matching could not be achieved when the image-pairs are collected at a great difference of views, and we always failed to obtain dense 3D points for regions of buildings, and cannot do further 3D shape reconstruction. We defined SGSPs as two or more optical images collected in less constrained views but covering the same buildings. It is even more difficult to reconstruct the 3D shape of a building by SGSPs using traditional frameworks. As a result, a dynamic multi-projection-contour approximating (DMPCA) framework was introduced for SGSP-based 3D reconstruction. The key idea is that we do an optimization to find a group of parameters of a simulated 3D model and use a binary feature-image that minimizes the total differences between projection-contours of the building in the SGSPs and that in the simulated 3D model. Then, the simulated 3D model, defined by the group of parameters, could approximate the actual 3D shape of the building. Certain parameterized 3D basic-unit-models of typical buildings were designed, and a simulated projection system was established to obtain a simulated projection-contour in different views. Moreover, the artificial bee colony algorithm was employed to solve the optimization. With SGSPs collected by the satellite and our unmanned aerial vehicle, the DMPCA framework was verified by a group of experiments, which demonstrated the reliability and advantages of this work.

Based on a small prototype of the McCabe wave pump device, this paper studies the optimal size of an interconnected pontoon system, where the power take-off systems attached to each barge are equipped with optimal linear passive dampers. To this end, an optimization procedure is developed, where the objective is to maximize the extracted energy of the device under given sea states. A multi-DOF mathematical model is presented to describe the device motion, and associated hydrodynamic parameters are computed using a boundary element model tool, based on linear potential flow theory. Numerical results, under regular and irregular waves, are presented. Simulation results show that the optimal dimension of the device, under given sea states, can be found using the developed methodology. In addition, it is found that the three-body hinge-barge device tends to perform like a two-body system under optimal control conditions. This indicates that a two-barge control system may be a better design solution in those situations, considering the high cost of power take-off systems.

AKT‐mTOR and androgen receptor (AR) signaling pathways are aberrantly activated in prostate cancer due to frequent PTEN deletions or SPOP mutations. A clinical barrier is that targeting one of them often activates the other. Here, we demonstrate that HDAC3 augments AKT phosphorylation in prostate cancer cells and its overexpression correlates with AKT phosphorylation in patient samples. HDAC3 facilitates lysine‐63‐chain polyubiquitination and phosphorylation of AKT, and this effect is mediated by AKT deacetylation at lysine 14 and 20 residues and HDAC3 interaction with the scaffold protein APPL1. Conditional homozygous deletion of Hdac3 suppresses prostate tumorigenesis and progression by concomitant blockade of AKT and AR signaling in the Pten knockout mouse model. Pharmacological inhibition of HDAC3 using a selective HDAC3 inhibitor RGFP966 inhibits growth of both PTEN‐deficient and SPOP‐mutated prostate cancer cells in culture, patient‐derived organoids and xenografts in mice. Our study identifies HDAC3 as a common upstream activator of AKT and AR signaling and reveals that dual inhibition of AKT and AR pathways is achievable by single‐agent targeting of HDAC3 in prostate cancer.

In the paper, we propose a novel object-oriented hierarchy radiation consistency method for dense matching of different temporal and different sensor data in the 3D reconstruction. For different temporal images, our illumination consistency method is proposed to solve both the illumination uniformity for a single image and the relative illumination normalization for image pairs. Especially in the relative illumination normalization step, singular value equalization and linear relationship of the invariant pixels is combined used for the initial global illumination normalization and the object-oriented refined illumination normalization in detail, respectively. For different sensor images, we propose the union group sparse method, which is based on improving the original group sparse model. The different sensor images are set to a similar smoothness level by the same threshold of singular value from the union group matrix. Our method comprehensively considered the influence factors on the dense matching of the different temporal and different sensor stereoscopic image pairs to simultaneously improve the illumination consistency and the smoothness consistency. The radiation consistency experimental results verify the effectiveness and superiority of the proposed method by comparing two other methods. Moreover, in the dense matching experiment of the mixed stereoscopic image pairs, our method has more advantages for objects in the urban area.

Ocean waves are a promising source of renewable energy. In this paper, we briefly introduce the characteristics of ocean wave energy and summarize the principles of harvesting ocean energy by wave energy converters. We also review the prototypes or commercial devices deployed in real sea between 2005 and July 2016. In addition, we present the concept of a wave-to-wire model as a framework to systematically review and compare control strategies for wave energy conversion systems, with a focus on the numerical and experimental validation

Objective(s): Juglone is isolated from many species of the Juglandaceae family and used as an anti-viral, anti-bacterial, and anti-tumor therapeutic. Here, we evaluated juglone-induced antitumor effect in ovarian cancer SKOV3 cells. Materials and Methods: MTT assay was performed to examine juglone anti-proliferative effect. Cell cycle and apoptosis were studied using flow cytometry in juglone-treated SKOV3 cells. To investigate molecular mechanism of cell cycle and apoptosis, protein expression levels were measured by Western blot analysis of cyclin D1, Bcl-2, Bax, cytochrome c, caspase-9 and caspase-3. To investigate the motility of juglone-treated SKOV3 cell, Matrigel invasion assay was employed to characterize cell invasion. Also, matrix metalloproteinase-2 (MMP-2) expression levels were detected by western blot. Results: Juglone significantly inhibited SKOV3 cell proliferation as shown by G0/G1 phase arrest, and this effect was mediated by inactivation of cyclin D1 protein (P

Osteosarcoma (OS) is the most common primary bone malignancies. Long noncoding RNAs (lncRNAs) are key regulatory RNAs which takes part in several biological processes. LncRNA neuroblastoma associated transcript 1 (NBAT1) is a newly identified functional lncRNA. NBAT1 functions as a tumor suppressor in some cancers. However, the expression pattern, the biological function and the mechanisms of NBAT1 in OS progress have not been elucidated. In this study, for the first time, we found that NBAT1 expression is downregulated in OS tissues and cell lines and is associated with clinical stage, distant metastasis and poor prognosis. Loss- and gain-of-function assays showed that NBAT1 played a negative regulatory role in OS growth and metastasis in vitro and in vivo. Further investigation demonstrated that NBAT1 physically interacted with miR-21 and then suppressed its expression. NBAT1 also regulated downstream genes targeted by miR-21, including PTEN, PDCD4, TPM1 and RECK. These findings may extend the function of NBAT1 in tumor progression and provide a novel target for OS treatment.

Intervertebral degenerative disc disease (IDDD) is a common disease in clinic that causes pain and heavy financial burden on patients with poor prognosis. However, the pathogenesis of IDDD is not clear. Long non-coding RNA (LncRNA) is involved in regulating various body growth and pathological processes by affecting cell proliferation, differentiation, and apoptosis. However, the role of lncRNAs in IDDD is rarely reported. This study aims to investigate the role and mechanism of lncRNA MALAT1 in the development of IDDD. The nucleus pulposus of the intervertebral disc were collected and the primary nucleus pulposus cells were isolated and cultured. The cells were divided into three groups, including IDDD group, empty plasmid group transfected by pcDNA3.1, or MALAT1 group transfected by pcDNA3.1-MALAT1. MALAT1 expression was detected by real-time PCR. Cell proliferation was assessed by MTT assay. Caspase 3 activity was tested by the activity detection kit. IL-1 and IL-6 levels were analyzed by ELISA. The expression of MALAT1 in IDDD nucleus pulposus cells was significantly lower than that in control group (P < 0.05). The expression of MALAT1 was significantly increased after transfection with pcDNA3.1-MALAT1 plasmid in IDDD nucleus pulposus cells, which obviously inhibited cell proliferation, enhanced Caspase 3 activity, and promoted the secretion of IL-1 and IL-6 compared with IDDD group (P < 0.05). MALAT1 level decreased in IDDD nucleus pulposus cells. Upregulation of MALAT1 expression restrained IDDD through suppressing inflammation; inhibiting nucleus pulposus cell apoptosis, and promoting cell proliferation.

In this work, the authors propose a split-gate resurf stepped oxide with P-pillar (SGRSOP) UMOS structure. The P-pillar trench under the source electrode in SGRSOP U-shape metal-oxide-semiconductor (UMOS) serves the purpose of simultaneously achieving the following: (1) it has formed a local super junction (SJ) structure with the N-type drift. The P-pillar modulates the electric field distribution in the local SJ and increases the N− drift region doping concentration. (2) It has suppressed the parasitic bipolar junction transistor (BJT) effect by adding the P-pillar in the N − drift region, enlarges the boundary of the snapback. As compared with the SGRSO UMOS, the SGRSOP UMOS only add the P-pillar structure, while it has the better performance. The simulation results show that the SGRSOP UMOS reduces the on-state specific resistance (R SP) and increases the transconductance (g m), improves the figure of merit and its UIS ruggedness is as good as that of the split-gate resurf stepped oxide UMOS.

GPR (Ground penetrating radar) is one kind of the detection technologies with rapid, non-destruction, uninterrupted detection, and high-resolution. GPR can be applied to detect underground holes and loose soil layer and the other baneful anomalies, and therefore is widely applied to hole survey of the subway project in recent years. Based on briefly describing engineering geological background between F station and L station of a subway project in Beijing, this paper gives the arrangement method of GPR survey line in the construction area of shield method, analyzes detection results, verifies an anomaly by spading, determines the distribution range and its characteristic of the hole anomalies. The results showed that three obvious anomalies were detected in the area between F station and L station, and seriously loose soil layer was the cause of No. 1 and No. 3 anomalies, and hole was the cause of No. 2 anomaly. Thereby the anomalies of loose soil layer and hole could be detected accurately by the GPR technology, and then basic data of underground holes could be obtained. On the base of analyzing these data, effective measures could be adopted to avoid the hidden danger, then the safety of subway construction and surrounding environment of the subway project could be ensured.

The superplastic deformation mechanism of Mg-7.0Al-0.4Zn alloy was studied by EBSD technology. Results indicate that with increasing of strain amount, the texture of {0002}//ED is strengthened obviously, and intragranular sliding plays a main role during the accommodated deformation. Twins have started at the medium and the final deformation stages; when approaching to failure, intragranular sliding vanishes, and twins replace it to play a main role. But the contribution of twins to deformation is relatively small.

The geological conditions of coal-bed methane (CBM) are complex in China, so it is difficult to predict the production of CBM wells. Methodology of artificial intelligence was introduced in the mining of CBM. According to the characteristics of target block reservoir, the gray correlation analysis technology is used for analyzing the degree of correlation between each parameter and CBM production. And then the BP artificial neural network model is used in prediction and evaluation of CBM wells fracturing production. Application results show that the method improves the prediction and evaluation accuracy of CBM production.

In this paper, we proposed a novel object-based dense matching method specially for the high-precision disparity map of building objects in urban areas, which can maintain accurate object structure characteristics. The proposed framework mainly includes three stages. Firstly, an improved edge line extraction method is proposed for the edge segments to fit closely to building outlines. Secondly, a fusion method is proposed for the outlines under the constraint of straight lines, which can maintain the building structural attribute with parallel or vertical edges, which is very useful for the dense matching method. Finally, we proposed an edge constraint and outline compensation (ECAOC) dense matching method to maintain building object structural characteristics in the disparity map. In the proposed method, the improved edge lines are used to optimize matching search scope and matching template window, and the high-precision building outlines are used to compensate the shape feature of building objects. Our method can greatly increase the matching accuracy of building objects in urban areas, especially at building edges. For the outline extraction experiments, our fusion method verifies the superiority and robustness on panchromatic images of different satellites and different resolutions. For the dense matching experiments, our ECOAC method shows great advantages for matching accuracy of building objects in urban areas compared with three other methods.

Currently, the maintenance mode of the power transformers is regular maintenance, which has been widely used. It is key to correctly evaluate the reliability level of the transformer in operation condition because it is directly related to the success of maintenance; on this basis, the lifetime evaluation and optimized maintenance model based on hot spot temperature (HST) in terms of the power transformer is developed in this chapter. In this model, the reaction speed theory of Arrhenius and Weibull distribution is considered as the fundamental theories, which are used to describe the aging process of the transformer and get the transformer failure rate \(\lambda \) ; and then the equations with exponential form are adopted to compute HST, namely, to calculate the top oil temperature relative to the environmental temperature \(\Delta {{\Theta }_{TO}}()\) the increment of top oil temperature \(\Delta {{\Theta }_{H}}\)and the hysteretic temperature \({{\Theta }_{Ae}}()\)so as to get HST (equals to the sum of the aforementioned three variables). Meanwhile, based on the model, the software analysis system based on Java language and Mysql database has also been developed, in which the transformer maintenance process was optimized and the statistical analysis was made for the hot spot area. Finally, the diagnosis results were obtained correspondingly, indicating that the designed model and system can effectively reduce the maintenance frequency, improve the utilization coefficient of the transformer, and thus improve the equipment’s reliability.

Based on the mechanized mathematics and WU Wen-tsun elimination method, using oil film forces of short-bearing model and Muszynska’s dynamic model, the dynamical behavior of rotor-bearing system and its stability of motion are investigated. As example, the concept of Wu characteristic set and Maple software, whirl parameters of short-bearing model, which is usually solved by the numerical method, are analyzed. At the same time, stability of zero solution of Jeffcott rotor whirl equation and stability of self-excited vibration are studied. The conditions of stable motion are obtained by using theory of nonlinear vibration.

A 0.1-1.2 GHz power amplifier using 0.18-μm CMOS technology is presented with a small chip area. With 3.3V supply, the measurement results in this band indicated that the gain is better than 20 dB, the S11 and S22 is less than - 18 dB and -10 dB, respectively. The saturated output power is 20.5 dBm and 19.5 dBm at 433 MHz and 900 MHz with the corresponding PAE of 27% and 19.5%, respectively. The chip area is only 0.414 mm 2 .

Based on controlling the power quality of the 6.3kV power system of a coal mine in North China, a topology consist of Passive Power Filter (PPF), Thyristor Switched Capacitor (TSC) and Fixed Compensation Capacitor (FC) has been studied. Combining the thermodynamics modeling theory with network topology analysis method, the parameters of PPF, TSC and FC was proposed and optimized. Though there is a 5.th single tuning filter only, the measured results show that the average harmonic current injected into the power system completely accord with Chinese national standard GB/T-14549-93 and the power factor is increased to 0.99 without any possibility of over-compensation or under-compensation. Due to the action of the PPF the negative effect that caused by zero-voltage-switch of TSC was eliminated by proposed topology. The study of this paper gives the corner stone of theory and method for realizing smart grid system with Chinese characteristics.

Orthopedic Mg–Zn–Ca alloy is prepared by solution pretreatment and then processed by high pressure torsion (HPT). The results show that the second phases in solution treated (ST) alloy processed by HPT disperse uniformly. While the second phases in HPT-treated cast alloy without solution pretreatment are not completely fragmented and distributed non-uniformly. After five revolutions, the grain refinement is completed. The microhardness of the alloys is significantly improved after HPT, and the microhardness distribution is homogeneous in HPT-treated ST alloy. The corrosion resistance of HPT-treated ST alloy is more excellent than that of HPT-treated cast alloy in physiological environment.

This paper takes the high voltage power system dynamic reactive power compensation at the conditions of the mine load smooth changes, studies the negative effects inhibition of the HVC contactor switched capacitors reactive power compensation device in ambient temperature perturbation. The basic principles and structure of intelligent reactive power compensation device based on contactor zero-crossing switching control and the response time compensation method for different ambient temperature and operating voltage are proposed, and the expert decision-making switched control strategy is given. The research can effectively eliminate the adverse effects of capacitor inrush current and voltage flicker in the moment of switching, and ensure safe and stable operation of the grid under conditions that satisfy the system reactive power compensation.

In order to effectively improve the identification precision of the submersible motor temperature sensorless, The long cable parameter perturbation analysis theory is applied to the submersible motor temperature identification, Firstly this paper uses the distributed parameter method for the analysis of cable parameters distribution, then building and simplifying the model of long cable, rotor and stator in the submersible motor with SolidWorks. Because SolidWorks and ANSYS has a good interface, which can be sheathed cables, submersible motor model into ANSYS, therefore we can get the submersible motor and cable's temperature distribution maps by using the ANSYS thermal field analysis function, finally comparing the simulation results with the measured data to verify the theory that is presented in this paper.

Rotor bar broken fault is one of the common faults of the submersible motor. In order not to affect the production efficiency of submersible motor, the fault should be detected in time. For the purpose of solving the problem of the rotor crack detection, this dissertation has designed a method based on the analysis of the stator current to detect the rotor bar breaking fault. Through the experiments on submersible motor, we analyze on the stator current spectrum by means of HHT algorithm of the three different states of submersible motor—normal, minor fault and complete fault, and discriminate the fault in accordance with the frequency and amplitude of the current spectrum. Furthermore, the BP neural networks are also applied into the research to identify the rotor bar breaking fault in order to increase the accuracy of the discrimination results. The experiment and the research end up with a better result, and it verifies the feasibility and accuracy of the method.

A novel interpolation scheme to extend usable spectrum and upconvert in high performance D/A converters is addressed in this paper. By adjusting the pulse width of cycle and the production circuit of code, the expansion code is a null code or complementary code that is interpolation process. What the times and codes of interpolation decide DAC works in one of a normal mode or multi-mixer mode so that convert the input digital data signal into normal signal or a mixed analog signal having a mixer frequency that is higher than the data frequency. Simulation results show that the novel scheme and apparatus most extend the usable frequency spectrum into fifth to sixth Nyquist zone beyond conventional DACs., {"references":["A. V. den Bosch, M. A. F. Borremans, M. S. J. Steyaert, and W. Sansen,\nA 10-bit 1-GSample/s Nyquist Current-Steering CMOS D/A Converter,\nIEEE J. Solid-State Circuits vol. 36, no. 3, 2001, pp. 315-324.","G. A. M. V. der Plas, J. Vandenbussche, W. Sansen, M. S. J. Steyaert, and\nG. G. E. Gielen,A 14-bit Intrinsic Accuracy Q2 Random Walk CMOS\nDAC, IEEE J. Solid-State Circuits vol. 34, no. 12, 1999, pp. 1708-1718.","C.-H. Lin, F. M. der Goes, J. R. Westra, J. Mulder, Y. Lin, E. Arslan,\nE. Ayranci, X. dong Liu, and K. Bult,A 12 bit 2.9GS/s DAC With IM3-\n60dBc Beyond 1 GHz in 65nm CMOS, IEEE J. Solid-State Circuits vol.\n44, no. 12, 2009, pp. 3285-3293.","D. A. Mercer,LOW POWER APPROACHES TO HIGH SPEED CMOS\nCURRENT STEERING DACS, IEEE Custom Intergrated Circuits Conference\n2006, pp. 153-160."]}

The expected features of diluted magnetic semiconductors still remain in controversial issue, concerning whether or not s, p-d (f) exchange interactions indeed modify the host semiconductor band structure. To solve this doubt, a new scheme for measuring magneto-optical (MO) effect is developed, called magnetic photoresistance circular dichroism (PR-MCD), which detects the differential photoresistance of materials between two circularly polarized excitations. That allows us to detect the MO effect induced only by interband transitions, and provide unambiguous evidence that the host semiconductor band structure is indeed modified by the strong exchange interactions. Our PR-MCD spectra also disclose intrigue features which may come from strong coupling correlation effect at very high manganese concentration limit.

Considering the influence of surge current and voltage flickering on the distribution power system induced by medium frequency arc furnaces, the Hybrid Active Power Filter (HAPF) is applied to suppress the harmonics and compensate reactive power of 10kV bus of a steel mill. In order to study superiority effect and stability of HAPF, the Graph Theory is used to analyze its complex topology. By Graph Theory (GT) the HAPF can be described by several nodes that are connected by the power flows. Considering the important effect of LCL-filter of APF for suppressing harmonics such as high-frequency switch harmonic, its parameters are calculated by derived dynamic differential equations. Simulation and actual measure results show that the idea of combining the Graph Theory with dynamics modeling method is an effective path to design HAPF.