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The recently emerged symbol-level precoding (SLP) technique has been regarded as a promising solution in multi-user wireless communication systems, since it can convert harmful multi-user interference (MUI) into beneficial signals for enhancing system performance. However, the tremendous computational complexity of conventional symbol-level precoding designs severely hinders the practical implementations. In order to tackle this difficulty, we propose a novel deep learning (DL) based approach to efficiently design the symbol-level precoders. Particularly, in this correspondence, we consider a multi-user multi-input single-output (MU-MISO) downlink system. An efficient precoding neural network (EPNN) is introduced to optimize the symbol-level precoders for maximizing the minimum quality-of-service (QoS) of all users under the power constraint. Simulation results demonstrate that the proposed EPNN based SLP design can dramatically reduce the computing time at the price of slight performance loss compared with the conventional convex optimization based SLP design.

The current online education platform has gradually replaced the traditional teaching mode and has become an efficient teaching method. Flipping classroom is a new teaching mode under the background of the rapid development of information technology. It is also an important way of multimedia network teaching. However, compared with the traditional teaching mode, teachers in the online teaching platform cannot judge the students’ psychological activities through the students’ state of mind, and they can grasp the students’ learning status through the teaching process. Based on this, based on the cloud computing platform, this study improves the data transmission effect and improves the algorithm according to the learning process of the online education platform. Moreover, this study combines support vector machine to construct a student state recognition system suitable for online education platform and conducts algorithm performance analysis through experiments. In addition, this study uses MKmeans algorithm, Kmeans algorithm and improved Kmeans algorithm, that is, K-mediods and Xmeans algorithm to compare the pre-processed final data sets. The research results show that the proposed algorithm is suitable for network teaching platform and has certain practical effects.

Millimeter wave (mmWave) communication has been considered as a key enabling technology for next generation cellular systems. In order to combat severe path-loss of mmWave channel, hardware-efficient hybrid beamforming schemes are widely considered in mmWave massive multi-input multi-output (MIMO) systems. However, the high computational complexity for obtaining accurate channel estimation and designing hybrid beamformer is a major challenge, which hurdles the deployment of mmWave massive MIMO systems. In this paper, we consider a multi-user mmWave communication system with low-resolution phase shifters (PSs) and aim to design a novel deep learning based low-complexity and robust hybrid precoding design algorithm. A convolutional neural network (CNN) is utilized to predict/design analog precoders with roughly estimated channels using a small amount of pilot signals. Analog precoder can be efficiently predicted from the imperfect channel convolutional neural network (IC-CNN). Once the analog precoder is obtained, the digital precoder is designed by minimum mean square error method. Simulation results demonstrate that the proposed algorithm is efficient and can achieve satisfactory performance with a significant reduction in computing time.

Aim: To explore the expression of microRNA-106b (miRNA-106b) in nonsmall cell lung cancer (NSCLC). Settings and Design: miRNAs are short regulatory RNAs that negatively modulate gene expression at the posttranscriptional level, and are deeply involved in the pathogenesis of several types of cancer. miRNA-106b has been shown to play an oncogenic role in tumor progression. The expression of miRNA-106b is detected in this study. Subjects and Methods: Quantitative reverse transcription polymerase chain reaction and Northern blotting were used to detect the expression level of miRNA-106b in 200 NSCLC samples. Statistical Analysis Used: All statistical analyses were performed using SPSS 16.0 software. Results were statistically evaluated using the Kruskal–Wallis test and Mann–Whitney U-test. Survival curves were estimated by the Kaplan–Meier method and P < 0.05 was considered to be statistically significant. Results: miRNA-106b expression is increased in NSCLC tissues. Statistical analysis showed that overexpression of miRNA-106b was strongly associated with lymph node metastasis, stage of tumor node metastasis classification, and poor prognosis. Moreover, there was a significant difference in the miRNA-106b expression levels between smoking and nonsmoking patients. Multivariate Cox regression analysis showed that miRNA-106b was an independent prognostic factor for NSCLC patients. Conclusions: These data suggest that aberrantly expressed miRNA-106b may contribute to the development of NSCLC.

// Xiaofang Yao 1, 2 , Hao Tang 1 , Qiao Ren 1 , Xiaoyan Zhao 1 , Hua Zuo 1 and Zhubo Li 1 1 College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China 2 International Academy of Targeted Therapeutics and Innovation, Chongqing University of Arts and Sciences, Chongqing 402160, China Correspondence to: Zhubo Li, email: lizhubo2004@163.com Keywords: caffeic acid p -nitro phenethyl ester (CAPE- p NO 2 ), cervical cancer cells, endogenous apoptosis pathway, xenograft, metabolites Received: June 21, 2017 Accepted: August 27, 2017 Published: October 07, 2017 ABSTRACT The development of advanced cervical cancer therapies is a particularly urgent need due to the strong side effects and toxicities of current treatments. Caffeic acid phenethyl ester (CAPE) exhibits broad-spectrum antitumor activities and little toxicity or side effects. In our previous study, caffeic acid para-nitro phenethyl ester (CAPE- p NO 2 ) significantly improved the effect of anti-platelet aggregation and attenuated myocardial ischemia. Based on this finding, we aimed to further explore the antitumor activity of CAPE- p NO 2 in cervical cancer cells and tumor xenografts. In addition, we assessed the biotransformation of CAPE- p NO 2 in cervical cancer cells. Our study demonstrated that both CAPE and CAPE- p NO 2 can inhibit cell proliferation via the induction of G2/M cell cycle arrest. More importantly, CAPE- p NO 2 dramatically induced cell apoptosis via significant down-regulation of pro-caspase-3, pro-caspase-9, Bcl-2, Cyclin B1 and Cdc2 and up-regulation of cleaved-caspase-3, Bax, CytoC and P21 Cip1 . Moreover, CAPE and CAPE- p NO 2 significantly suppressed the growth and angiogenesis of nude mice xenografts. CAPE and CAPE- p NO 2 were found to degrade into four and six metabolites, respectively. The metabolites of CAPE and CAPE- p NO 2 were different, and the major metabolic pathway may be phase II reactions. These results suggest that CAPE- p NO 2 induced cell apoptosis and cell cycle arrest via a strong regulatory effect on relevant apoptotic proteins. Therefore, CAPE- p NO 2 should be further studied as a potent anti-cancer agent.

Motion control is one of the key technologies in automatic parking system. The vehicle real-time positioning information plays a fundamental role in motion control. The automatic parking scene is essentially an low-speed unmanned scene in a small area. This paper mainly studies the vehicle positioning technology in this scene, namely the Closed- loop update of parking spot. Considering the high price of equipment used in general vehicle positioning technology, this paper selects the vehicle positioning technology with simple and low cost equipment. Firstly, the positioning accuracy of traditional track reckoning is confirmed, and the simulation with carsim & simulink is used to verify the track reckoning ability. Secondly, the method of track reckoning with speed is proposed to locate moving vehicle in real time. Finally, due to the inaccurate wheel speed of vehicle at low speed in real vehicle verification section, an improved method of track reckoning used multi-information is proposed. The method combines the advantages of traditional and wheel speed methods of track reckoning to complete the track reckoning better. The software simulations and real vehicle tests about parallel parking trajectory show that the track reckoning with multi-information fusion is superior in Closed- loop update of parking spot.

To achieve a better energy-efficient and comfortable vehicle driving, electric vehicle energy predictive optimal control was discussed in this article. It used Vehicle to Infrastructure (V2I) communication of traffic light distance and time gap to make velocity decision in order to improve whole driving performance. Based on the data of standard New European Driving Cycle, this article put forward a real-time cycle including traffic light position and time information at first. Then, a preview and optimal decision controller was built. Four evaluating indexes were set for optimal decision making to decide the optimal expected speed, according to the pass time that the forward traffic lights allowed and the distance or the forward vehicle speed and distance. After that AMESim and Simulink co-simulation platform was used to build the vehicle dynamics model and to exploit the control algorithm. The simulation results indicated that vehicle with V2I can effectively improve the operating condition of the whole vehicle and reduce the frequency of vehicle starting and stopping, which makes the vehicle driving smoother and steady. Moreover, it can reduce vehicle energy consumption and improve endurance mileage. Meanwhile, the vehicle acceleration and jerk have decreased dramatically with better comfortable performance.

Distributed Denial of Service (DDoS) has been one of the biggest threats in the field of network security and a big problem to many researchers and large enterprises for years. In SDN, traditional DDoS attack detection mechanisms are mostly based on intermediate plug-ins or SDN controllers, most of which have problems of large southbound communication overhead, detection delay or lacking network-wide monitoring information. In this paper, we propose a cross-plane cooperative DDoS defense system (CPCS) under the architecture of SDN, which filters abnormal traffic through coarse-grained detection on the data plane and fine-grained detection on the control plane. On the data plane, a preliminary screening is performed to reduce the detection range of the control plane, and the K-means clustering algorithm is used to perform fine-grained analysis of traffic on the control plane. In addition, an anti-false positive module is added ingeniously. The proposed method captures the key characteristics of DDoS attack traffic by polling the value of counters in OpenFlow switches which leverages the computational power of OpenFlow switches that currently not fully utilized. We conducted experiments on a campus network center including OpenFlow switches and RYU controllers. The results show that the framework and traffic monitoring algorithms proposed in this paper can greatly improve detection efficiency and accuracy, and reduce detection delay and southbound communication overhead.

Photonic integrated resonators stand out as reliable frequency converters due to their compactness and stability, with second-harmonic generation (SHG) efficiencies of up to 17000%/W reported recently in aluminum nitride microrings. In this work, a sufficiently strong second-harmonic (SH) signal up to microwatts was generated by a photonic integrated frequency doubler using a milliwatt infrared (IR) laser source. Furthermore, increased SHG bandwidth covering $^{85}$Rb and $^{87}$Rb D$_2$ transition lines as well as saturated absorption spectroscopy (SAS) were demonstrated by tuning the pump power and chip temperature. Here, we present, to the best of our knowledge, the first successful locking of an IR laser to Rb saturated absorption lines via a photonic chip frequency doubler., Comment: 4 pages, 4 figures

On the basis of DSP digital signal processing chip TMS320F2812 function as the main control chip of power supply, this paper proposes a dual switch forward topology with RCC converter as auxiliary power supply,the bootstrap drive chip IR2110 as power drive circuit, a dual closed loop control strategy with voltage outer loop and current inner loop, and PID control algorithm using integral separation together with dead zone control. The experimental result show that the power supply structure is easy to operate, and the corresponding control strategy and algorithm effectively improve the stability of the power supply output voltage and the rapidness of the response of the system.

In order to realize higher speed and large flow network communication on the new manned spacecraft independently developed in China, it is necessary to apply Ethernet technology. Considering the cost and application prospect, it is planned to use industrial Ethernet control chip. So it is necessary to verify whether it can meet the special requirements of the space environment. According to the space environment of the manned spacecraft design orbit, and the sensitive characteristics of the Ethernet controller chip itself, it is necessary to focus on verifying its single-particle effect. This paper introduces in detail the single-event effect of the Ethernet controller in China for the first time. The Bi-ion and Kr ions of the HIRFL cyclotron are used to carry out the single-event effect on the KSZ8851-16MLLJ Ethernet MAC controller produced by MICREL. The evaluation test, including the single-particle test design, hardware platform, software functions and test data, finally gave the test conclusion.

Dendrobium officinale Kimura et Migo has been used for thousands of years to promote body fluid production; however, little is currently known regarding its effects on the heart. The present study aimed to explore the cardioprotective potential of the water extract of Dendrobium officinale Kimura et Migo (DOE) on myocardial ischemia in mice. A mouse model of myocardial ischemia was induced following ligation of the left anterior descending coronary artery. Prior to the operation, mice were administered a vehicle or DOE for 2 weeks. Following the operation, ST elevation was measured. To estimate the extent of myocardial damage, infarct size analysis and histopathological examination were performed. The activities of cardiac marker enzymes [creatine kinase (CK)‑MB and lactate dehydrogenase (LDH)] and antioxidative indicators [malondialdehyde (MDA) and superoxide dismutase (SOD)] were also analyzed to explore the underlying mechanisms. Treatment with DOE decreased infarct size and the number of apoptotic cardiomyocytes; reduced serum CK‑MB, LDH and MDA activities; and increased SOD levels. According to western blotting, DOE conferred protection against myocardial ischemic injury via the regulation of Meis1 expression. These results indicated that DOE may exert potential cardioprotective effects against myocardial ischemia; these effects may be associated with its antioxidant activity, and its ability to inhibit cardiac cell apoptosis and to regulate Meis1 expression.

A new fluxgate current sensor is presented in this paper. The sensor consists of an additional magnetic toroidal core and an additional winding, aside from the elements in a traditional sensor. In addition, the exciting winding is wound along the circumference of the toroidal core to decouple the exciting magnetic field and the feedback magnetic field in order to reduce internal interference. With the additional core and the additional winding, the proposed current sensor can extend its bandwidth to medium- and high-frequency ac measurement. Another purpose of introducing the additional core is to concentrate on the exciting magnetic field and to reduce interference from external disturbances. A prototype of the proposed sensor was designed and tested. Test results show that the sensor is less affected by hysteresis effects and has a measurement error (precision) within 0.4% of the full scale, a 40-kHz small-signal bandwidth, remarkable sensitivity, and linearity in the measurement range up to 25 A.

In calendering process, the fabric undergoes luster treatment to make the surface uniformly glossy at a high operation speed. It is easy to be misjudged for the seam detection by human vision in the process, especially for the seam detection of light fabric. To improve quality products and revenues, effective and fast feature extraction algorithms are urgently needed to solve the problem. This paper presents a new wavelet energy measure method and also compares it with a novel scheme for automated textural feature extraction implementation in CIELAB color space. In wavelet-based approach, energy measures are extracted in the best number decomposition. In the CIELAB color space, we proposed to calculate characteristic parameters included mean, standard deviation and variation coefficient (CV). Then the feature data obtained from the two approaches are analyzed to determine optimized threshold values in order to recognize seam information. Compared the detection results of the two algorithms, the characteristic parameters extraction in the CIELAB color space shows higher accuracies and more computationally efficient than wavelet-based approach on detecting fabric seam in calendering process.

For the safety inspection of substation, this paper proposes a flame image detection method based on the combination of fusion feature and support vector machine (SVM). Firstly, the suspected flame area is detected by motion detection and flame color model. Then, four features of B-channel color variation coefficient, roughness, flicker frequency and flame area change rate are extracted. Finally, four features are sent to SVM to learn the flame classifier and used in video flame detection. The experimental results show that the proposed method can effectively identify the flame.

The superstructure of passenger ship becomes more and more plump to satisfy the requirement of different functional area and comfortable space. Therefore, the research on the bending efficiency of superstructure to hull girder strength of the passenger ship is paid more attention. In the present paper, an inland passenger ship is taken into account. The interaction of main hull and superstructure is analyzed based on the two-beam theory. The bending efficiency of superstructure is investigated and discussed which can provide technical supporting to the structural design of the superstructure of passenger ship.

Making robots know people’s place concepts has attracted researchers for decades. People believe that this capability will firmly benefit not only robot–human interaction but also reasonable and social robot behaviors, or even traditional problems in robot research such as object detection. Focusing on place classification, this paper builds a kind of native pure 3D geometric description to capture place layouts based on common point clouds. This perspective enables our method to naturally accommodate various illuminations, including extremely bad lighting for which traditional image methods cannot work properly. The space of a place is first divided into 3D voxels. The cardinal orientations of this space are then extracted, and the geometric attributes of the voxels are subsequently represented based on the cardinal orientations. The voxels with geometric attributes are defined as the cardinal-direction prototyping blocks (CDPBs). Next, the CDPB distribution for a scene is calculated by qualitative spatial description technology, thereby obtaining the complete place description. Given the sparse description, the sparse random forest (SRF) is used for learning. The experiments indicate that the CDPB-based method outperforms the current 3D geometric method and its mixed method, and it has good time performance. The main advantages of our method are that it does not require any strict hypotheses on surfaces, such as planar surfaces, it requires smaller fusion windows to attain satisfactory classification rates, it can be used in extreme lighting environments, and its parameter selection is easy.

Ethnopharmacological relevance Atractylodes macrocephala Koidz. (called Baizhu in China) is a medicinal plant that has long been used as a tonic agent in various ethno-medical systems in East Asia, especially in China, for the treatment of gastrointestinal dysfunction, cancer, osteoporosis, obesity, and fetal irritability. Aim of the review This review aims to provide a systematic summary on the botany, traditional uses, phytochemistry, pharmacology, pharmacokinetics, and toxicology of A. macrocephala to explore the future therapeutic potential and scientific potential of this plant. Materials and methods A literature search was performed on A. macrocephala using scientific databases including Web of Science, Google Scholar, Baidu Scholar, Springer, PubMed, SciFinder, and ScienceDirect. Information was also collected from classic books of Chinese herbal medicine, Ph.D. and M.Sc. dissertations, unpublished materials, and local conference papers on toxicology. Plant taxonomy was confirmed to the database “The Plant List” ( www.theplantlist.org ). Results More than 79 chemical compounds have been isolated from A. macrocephala, including sesquiterpenoids, triterpenoids, polyacetylenes, coumarins, phenylpropanoids, flavonoids and flavonoid glycosides, steroids, benzoquinones, and polysaccharides. Crude extracts and pure compounds of A. macrocephala are used to treat gastrointestinal hypofunction, cancer, arthritis, osteoporosis, splenic asthenia, abnormal fetal movement, Alzheimer disease, and obesity. These extracts have various pharmacological effects, including anti-tumor activity, anti-inflammatory activity, anti-aging activity, anti-oxidative activity, anti-osteoporotic activity, neuroprotective activity, and immunomodulatory activity, as well as improving gastrointestinal function and gonadal hormone regulation. Conclusions A. macrocephala is a valuable traditional Chinese medicinal herb with multiple pharmacological activities. Pharmacological investigations support the traditional use of A. macrocephala, and may validate the folk medicinal use of A. macrocephala to treat many chronic diseases. The available literature shows that much of the activity of A. macrocephala can be attributed to sesquiterpenoids, polysaccharides and polyacetylenes. However, there is a need to further understand the molecular mechanisms and the structure-function relationship of these constituents, as well as their potential synergistic and antagonistic effects. Further research on the comprehensive evaluation of medicinal quality, the understanding of multi-target network pharmacology of A. macrocephala, as well as its long-term in vivo toxicity and clinical efficacy is recommended.

This paper proposed to use random forest as classifier for control chart pattern recognition in auto-correlated process. In order to construct the random forest, the bootstrap sample method is used to generate a great many different training datasets from the original dataset first. Based on each training data set, a CART (Classification and Regression Tree) is created to be base classifier, which gets each internal node split from an attribute subset randomly selected from whole attributes during growth to raise diversity. Then all base classifiers perform together, and all results are integrated through majority voting method to achieve the final result. An experiment on AR(1) process dataset created by Mont-Carlo simulation show that the proposed random forest approach perform well than BP neural networks both on recognition rate and noise resisting ability.

Background Exposure to cigarette may affect human health and increase risk of a wide range of diseases including pulmonary diseases, such as chronic obstructive pulmonary disease (COPD), asthma, lung fibrosis and lung cancer. However, the molecular mechanisms of pathogenesis induced by cigarettes still remain obscure even with extensive studies. With systemic view, we attempted to identify the specific gene modules that might relate to injury caused by cigarette smoke and identify hub genes for potential therapeutic targets or biomarkers from specific gene modules. Materials and methods The dataset GSE18344 was downloaded from the Gene Expression Omnibus (GEO) and divided into mouse cigarette smoke exposure and control groups. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to construct a gene co-expression network for each group and detected specific gene modules of cigarette smoke exposure by comparison. Results A total of ten specific gene modules were identified only in the cigarette smoke exposure group but not in the control group. Seven hub genes were identified as well, including Fip1l1, Anp32a, Acsl4, Evl, Sdc1, Arap3 and Cd52. Conclusions Specific gene modules may provide better understanding of molecular mechanisms, and hub genes are potential candidates of therapeutic targets that may possible improve development of novel treatment approaches.

Universal structure and thorough analysis were proposed for a kind of polymer optical switch using N-th order microring resonator side-coupled Mach–Zehnder interferometer (MRR-SC-MZI). Formulation and expression of output power, insertion loss and crosstalk were derived, and detailed design and optimization were carried out. Analytical results indicate that all devices for N≥1 can perform normal switching function, and 8≥N≥2 is preferred for dropping the driving voltage below 5 V. For the seven MRR-SC-MZI EO switches (N=2–8) whose cross-state voltages are within 0–2.32 V, their bar-state voltages are within 0.96–4.83 V and their insertion losses are within 0.35–0.85 dB at bar state, whereas those within 0.14–1.70 dB at cross state; their crosstalk are within −20.79 to −31.11 dB at bar state, whereas those are within −13.86 to −20.36 dB at cross state; their 3-dB electrical bandwidths are within 18.5–28.0 GHz, and 3-dB optical bandwidths for the two output ports are within 18.1–40.0 GHz and 32.0~55 GHz, respectively. Comparison indicates that the driving voltages of the proposed MRR-SC-MZI switching devices are 10–250 times smaller than those of the traditional MZI EO switches with the same EO region length, device length and structural parameters. Therefore, due to small footprint size and low driving voltage, this switching configuration can be densely integrated onto optoelectronic chips.

As basic routing element, structure and principle of cross-coupling two-ring resonator are presented, and waveguide parameters are optimized for phase-matching and single-mode propagation. Using eight-group basic elements, a new one-stage five-port polymer optical router is proposed, and it can optically route four channel wavelength data streams along definite-path in 2-D plane. Under the selected four channel wavelengths, the insertion losses along all routing paths are within 0.03–0.62 dB, the maximum crosstalk of all routing operations is less than −39 dB, and the device footprint size is about 0.31 mm 2 . A universal novel structure and routing scheme of N -stage cascaded five-port optical router are presented, and it contains 4 N channel wavelengths that can be routed by the device. Compared with the previously reported silicon optical routers, this polymer device possesses similar ring radius (~10 μm) and device size ( 2 ). Because of simple processing technology, low cost and good scalability, this device shows potential application of wideband signal routing in optical networks-on-chip (ONoC).

This paper presents a current sensor for measurement of AC and DC. The sensor consists of two toroidal magnetic cores. One core works in fluxgate principle for the measurement of DC and low frequency AC. Another additional toroidal core is used as a current transformer for higher frequency application. Bidirectionally saturated fluxgate principle is used in this sensor to achieve better temperature characteristic for high current measurement. Moreover, an improved bidirectionally saturated fluxgate principle is proposed to measure small current, which improves the resolution of the sensor. A prototype is designed and the tested results show that the sensor can measure currents up to 150 A, with an accuracy of 5%o, and a bandwidth of 60 kHz.

This paper presents a current sensor for current measurement in high frequency high voltage pulse power supplies, the output of which is DC current superposed with impulse current waveform. The current sensor is made of two magnetic cores. One works in fluxgate principle to measure DC current. While the other is based on transformer effects for impulse current measurement. The impulse current sensor has a wide bandwidth up to 340kHz. It can measure DC with an accuracy of about 3%o, and the measurement errors for impulse current peak is limited to 6%.

Long distance three-phase power cable has the characteristics of the metal sheath cross-bonded and voltage drop and ground potential difference at both ends, which brings confusion to on-line insulation monitoring of long distance power cable. One parameter monitoring cable insulation will effect by voltage drop, load current change, frequency fluctuation and other factor. A method based on dielectric loss factor and resistive current to monitor cable insulation simultaneously has been put forward. The method named as a multi-parameter on-line cable insulation monitoring method. The method installs current transformers and voltage transformers on both side of three-phase cable and uses a high precision timing function of the GPS receiving module at both ends of the testing equipment respectively which can receives the pulse per second from the GPS satellite as time reference can realize the signal synchronous sampling. The principle and formula of the method are given. The metal sheath cross-bonded equivalent circuit of long distance three-phase cable is established by using MATLAB software and does dynamic simulation on the method. The results show that the method is not effect on load current, voltage drop and frequency fluctuation. The two parameters increase obviously when the cable operating temperature exceeds 80°C. The insulation condition of three-phase cable can be judged by the change of dielectric loss factor and resistive current under different insulation fault. The method was proved to be correctness and feasibility in the paper.

The objective of this paper is to compare and analyze the forest height retrieval methods from Polarimetric SAR Interferometry(POLINSAR).Both of the methods based on DEM difference and that on interferometry coherence amplitude are generalized, analyzed, and compared.Also in this paper combined methods of DEM difference and interferometry coherence amplitude are proposed and validated.The ESA fullpolarimetric interferometry L-band data are used for forest height analysis.The results show that the height is severely underestimated using DEM difference method,In constast,interferometry coherence amplitude method has a overest imation of height.The combined method of DEM difference and interferometry coherence amplitude has a much better estimate,closer to the true height than these two methods.

Our research presented an objective and reliable evaluation method for measuring of fabric cottonseed coat fragment (CSCF) using a scanner with higher accuracy. After the surface image of woven fabric was firstly transformed into the frequency domain using discrete Fourier transform, the image of CSCF parts was then enhanced with Gabor filter to highlight CSCF. Segmentation and localization of CSCF areas parts were achieved by inverse discrete Fourier transform in the reconstructed image. The number and area of CSCF were extracted by threshold at last, and three parameters including recognition ratio, error recognition ratio and omission ratio were used to evaluate the accuracy of the measurements. The results can be used as descriptors of remain of cottonseed coat. The experimental results demonstrated that the fabric CSCF evaluation system developed in this study represented the CSCF properties and also showed high accuracy in the degree of CSCF. By such an inspection system, the CSCF recognition ratio of the fabric CSCF evaluation system defect images comes up to 91 %.

Traditional absolute interferometric testing methods are all based on Zernike's polynomial fitting of tested wavefront,where the wavefront is smoothed and the mid-frequency element is lost,so they can only get the real figure of test optics.This paper adopts the rotation and displacement technique to the absolute interferometric testing of mid-frequency wavefront.The real wavefront of the test optic is separated into a rotationally symmetric component and a rotationally asymmetric component.The rotationally asymmetric component is determined by rotating the test optics for N times,while the rotationally symmetric component is determined by the pseudo shearing data through displacing the test optics.As compared with traditional absolute interferometric testing methods,there is no need to fit the wavefront of test optics with Zernike′s polynomials and can preserve whole wavefront with the proposed method.Because the rotationally symmetric component is retrieved using the even polynomials,the computation speed is enhanced and the fitting error is reduced with the mid-frequency element retained.The numerical simulation shows that the proposed method has much superiority than the traditional method and can achieve the nanometer accuracy.An experimental measurement for a flat surface is carried on with a ZYGO interferometer.The self-comparison of the experimental data is implemented by changing the pseudo shearing ratio and substituting the standard lens and the experimental data is also compared with the horizontal and vertical profiles derived from three-flat testing.Obtained results prove the accuracy of the rotation and displacement technique.

Study in UAV aerial image quality assessment algorithm. Aiming at the characteristics of lack of reference images, have large amount of data and degradation type is mainly about blurry, we put forward a rapid and effective no-reference aerial image quality assessment algorithm based on the natural scene statistics. This algorithm reduces the computational complexity of traditional algorithms based on natural scene statistics by extracting the region of interest of human eye, utilizes the color information of aerial images effectively, and enhances the sensitivity of the algorithm to blurry by calculating color correlation blur metric. Experimental results show that the algorithm as a significant advantage in terms of computational complexity, and is more sensitive to the blurred image compared with the traditional evaluation algorithm. The proposed algorithm is more suitable for the UAV aerial image quality assessment.

Wireless personal area network and wireless sensor networks are rapidly gaining popularity, and the IEEE802.15 Wireless Personal Area Working Group has defined no less than different standards so as to cater to the requirements of different applications. Wireless sensor network (WSN), is a set of sensor technology, computer technology, Network technology and communication technology in the integration of emerging disciplines, in military, commercial, and many other fields has a broad application prospect and great application value. Smart home wireless system is based on smart home wireless system to develop a new generation of smart home system of life. Green home network gradually formed a complex system to deal with a variety of tasks. Developing this trend, I suggest a new Smart Home Wireless System (SHWS) based on an IEEE802.15.4 [5][6]and ZigBee. ZigBee could form a point-to-point and mesh network. This thesis has done following researches: 1. The role of the sensor 2. ZigBee Devices and Data Transfer model 3. Disjoint Multi Path Routing Protocol – (DMPR).

Switchgear charged for fault detection, principles and methods the live test from switchgear partial discharge, analyzes the use of ultrasonic detection assays and transient voltage for the switchgear cabinet feasibility of fault diagnosis; using a combination of switchgear partial discharge founding live testing equipment failure cases, by power testing experimental analysis confirmed the presence of switchgear failure to verify the validity of partial discharge detection in live test switchgear fault diagnosis.

In this paper, the influence of distribution line tripping is analyzed by means of the combination of distribution line tripping case, from equipment, user influence, external factors and natural factors. Power distribution line tripping accident occurs, which affects the economic benefit of power supply enterprises and the reliability of power supply to customers. This paper analyzes the common causes and preventive measures of distribution line tripping, which is of great significance to reduce the number of trips and improve the reliability of power distribution lines.

Interflow related nitrogen (N) loss from hillslope cropland is a global issue of concern. Field experiments were carried out in purple soil to study how to reduce interflow related N loss by substituting organic fertilizers for mineral fertilizers. Study conditions were engineered where identical amounts of N were applied to four different fertilization regimes: N fertilizer only, mineral fertilizers (MF), mineral fertilizers with livestock manure (MFL), and mineral fertilizers with crop straw (MFS). Results showed that total MFL and MFS interflow N loss decreased by 44.1 and 36.9 %, respectively, compared to the MF fertilization regime, using identical amounts of N. Furthermore, crop yields for the MFL and MFS fertilization regimes were higher compared to the MF fertilization regime. These findings can result in an important new means in controlling interflow N loss from hillslope cropland by substituting organic fertilizers for a port of mineral fertilizers, using identical amounts of organic fertilizer.

The worldwide extension and intensification of farming during the last century has led to ecosystem degradation and caused a series of environmental problems. Conservation of ecosystem services in agricultural regions has been implemented by top-down government actions or initiated by resilience scientists in the developed countries, but little attention was paid in the developing countries, especially in some remote mountainous regions. The present paper presents a case study showing how local farmers obtained both maximal societal outcomes and agroecosystem conservation interests in the absence of distinct boundaries between agricultural and protected ecological areas in the densely populated purple-soiled hilly region of southwestern China. The local community (Yanting County) has developed a mosaic agricultural-forestry-fishery-stock breeding system with spatially targeted land uses, diverse agricultural productions and multiple ecological partnerships. It indicates that the local farmers have hereditarily perceived sound strategies on maximizing sustainable societal outcomes and optimizing trade-offs among macro-market, state policy, new technological facility and ecological reinforcement.

With the coming of 21 century ,the need of developing multimedia courseware in psychological health education of college students arises which also meet the need of reform and further development of this field. However, there exists many unresolved problems which suggests that appropriate use of multimedia course ware is necessary . Recently, due to pressure from study , life , future employment , fierce competition in society , broke off the family ,some of the students tend to have mental problems such as obsessive--compulsive inclination , anxiety , distress , depression inconfidence etc. emerged in college students and they even take some extreme behaviors such as suicide murder . Mental heath of the college students become a significant issue highly concerned by school and the society . As to how to create an effective way for emotional health education prevent and solve the mental problems in college students , enhance their capability to let out emotional problems become an urgent issue confronting the professional psychological health education . Compared with traditional method , the advanced approach armed with multimedia , not only presents the updated educational concept and theory but also meet the demand to develop the modernized individual who is equipped with creative spirits , healthy physically and mentally and armed with practical skills . E--learning provide a new way for education reform, so the psychological health school should and will develop with the advanced technology.

The organic-silicon films, polytetrafluorethylene (PTFE) films and its composite films with copper have been fabricated from an active gas phase by pulse laser dispersion from initial powder species. The features of all films obtained were studied with the application of attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy. Our results suggest that the wavelength of laser radiation impact a strong effect on the molecular structure of all films. Specifically, the peaks corresponding to the detachment of C-H bonds in the organic-silicon films and its Cu doped films at a laser wavelength of 532 nm and the destruction of the Si-O-Si groups at 266 nm due to the ultraviolet radiation have been observed. Interestingly, the concentration of Si-С6Н5 groups relative increases with a decremental of the wavelength of laser radiation. In addition, the PTFE films formed at a laser wavelength of 355 nm presented a lower order degree and high amorphous phase, while PTFE-Cu composite films at laser wavelength 266 nm exhibited enhanced crystallinity due to the presence of copper species, wherein being served as nucleation centers. Remarkably, the wavelengths of laser radiation nearly play no effect on the orderness of PTFE-Cu composite films.

The peak shapes of ?-rays at various energies must be known before unfolding the multiplet spectra obtained by using semiconductor or scintillation detectors. Traditional methods describe isolated peaks with multi-parameter fitting functions, and assume that most of these parameters do not vary with energy because it is rare to find a spectrum with enough isolated peaks to constrain their dependence. We present an algorithm for interpolating the ?-ray profile at any intermediate energy given a pair of isolated ?-ray peaks from the spectrum under consideration. The algorithm is tested on experimental data and leads to a good agreement between the interpolated profile and the fitting function. This method is more accurate than the traditional approach, since all aspects of the peak shape are allowed to vary with energy. New definitions of Left-Half Width at Half Maximum, and Right-Half Width at Half Maximum for peak shape description are introduced in this paper.

The design and imaging characteristic experiment of InGaAs shortwave infrared imaging system are introduced. Through the adoption of InGaAs focal plane array, the real time image process structure of InGaAs shortwave infrared imaging system is researched. The hardware circuit and image process software of the imaging system based on FPGA are researched. The InGaAs shortwave infrared imaging system is composed of shortwave infrared lens, InGaAs focal plane array, temperature controller module, power supply module, analog-to-digital converter module, digital-to-analog converter module, FPGA image processing module and optical-mechanical structure. The main lock frequency of InGaAs shortwave infrared imaging system is 30MHz. The output mode of the InGaAs shortwave infrared imaging system is PAL analog signal. The power dissipation of the imaging system is 2.6W. The real time signal process in InGaAs shortwave infrared imaging system includes non-uniformly correction algorithm, bad pixel replacement algorithm, and histogram equalization algorithm. Based on the InGaAs shortwave infrared imaging system, the imaging characteristic test of shortwave infrared is carried out for different targets in different conditions. In the foggy weather, the haze and fog penetration are tested. The InGaAs shortwave infrared imaging system could be used for observing humans, boats, architecture, and mountains in the haze and foggy weather. The configuration and performance of InGaAs shortwave infrared imaging system are respectively logical and steady. The research on the InGaAs shortwave infrared imaging system is worthwhile for improving the development of night vision technology.

A dual spectrum solar-blind ultraviolet (UV) corona detection system is designed in this paper. A common optical axis using a dichroic mirror is applied to this system in order to make visible light and ultraviolet light spectroscopy to ultraviolet detector and visible detectors. A high speed circuit of image processing based on TMS320DM642 DSP and a circuit that is used into system control and power management based on microcontroller are designed for the presented system. On the basis of the multi-threaded programming ideas, real-time image acquisition of ultraviolet and visible detectors, ultraviolet image noise reduction, image registration, dual spectral integration, Characteristic superimposing, serial communication and image display are achieved by using the DSP image processing circuit. Experimental results show that the dual spectrum solar-blind ultraviolet corona detection system has a good performance of corona detection based on ultraviolet and visible image fusion.