无人机倾斜摄影技术在电力巡线树障检测中的实践应用研究

为解决目前贵州电网电力巡线工作中人工巡检存在精度低、效率慢、智能化水平低等问题,本文结合无人机倾斜摄影技术的工作原理,对输电线路杆塔、通道及周边环境进行无人机航飞、空中三角测量、建模,形成电力线通道三维点云,利用自动匹配算法生成的导线精确计算出树障距离和位置,并生成输电线通道障碍物报告。即将无人机倾斜摄影技术用于电力线巡检,可在恢复输电线路通道三维点云的基础上实现树障的定量化检测,探索出一种无人机智能电力巡线新方法。本文将从无人机航空摄影方法、地表三维点云重建方法、导线三维重建方法和树线距离量测方法四个方面入手,重点分析无人机倾斜摄影技术在电力巡线树障巡检作业中的工作原理和流程,并结合一线巡检班组的实验数据,阐述其在实践中的具体应用。

基于低空无人机倾斜摄影技术的电力巡线树障检测方法研究

在电力巡线中无人机的应用广受关注以及研究,其具有安全性及效率高的突出优势,使无人机成为电力线路巡视的关键发展方向。本文为解决人工电力巡检精度低、效率低、智能化程度低等问题,结合无人机倾斜摄影测量技术的作业原理和无人机作业时的周围环境,基于空中三角测量模型,得到三维输电线路通道点云。无人机倾斜摄影技术主要用于电力线巡检,在恢复输电线路通道3D点云的基础上,实现了对树状障碍物的定量检测,并探索了一种将无人机技术用于智能巡线的新方法。

Optimization design of 24bit parallel MAC unit with saturation

An efficient design method for a 24 × 24 bit ＋48 bit parallel saturating multiply-accumulate （MAC） unit is described. The augend in the MAC is merged as a partial product into Wallace tree array. The optimized saturation detection logic is proposed. The 679. 2 μm × 132. 5μm area size has been achieved in 0. 18 μm 1.8 V 1P6M CMOS technology by the full-custom circuit layout design. The simulation results show that the design way has significantly less area （about 23.52% reduction） and less delay than those of the common saturating MAC based on standard cell library.

A new species in the genus Globicornis Latreille(Coleoptera: Dermestidae: Megatominae) from China

General characteristics of Globicornis Latreille and a key of known subgenera of the genus are given. The new species G.（Globicornis） yushuensis sp. nov. from China（Qinghai Province） is described and illustrated.

油桐尺蠖幼虫空间分布特征调查分析

在惠州选取4个桉树林区,对油桐尺蟆Bt/ass si/p/wessaKa幼虫的空间分布进行了调查与分析。结果表明,油桐尺蟆幼虫的空间分布格局为聚集分布,不同高度层、不同方位,尺蟆幼虫数量分布存在着较大的差异。其中,尺蟆数量分布最多的为中部,中部尺蟆幼虫占各层尺蟻总量平均达55.97%65.34%,最高的可占尺蟆幼虫总数的67.74%;同时,在不同方位上,尺蟆种群主要集中分布在南方位,其次为东、西两方位,分别占幼虫总数的34.59%、22.56%、24.81%。因此,进行该虫监测与防控时,应合理利用尺蟻种群在不同方位与高度的分布差异,重点防范中部层与南方位枝条并重施药防治。

The future of wireless capsule endoscopy

We outline probable and possible developments with wireless capsule endoscopy. It seems likely that capsule endoscopy will become increasingly effective in diagnostic gastrointestinal endoscopy. This will be attractive to patients especially for cancer or varices detection because capsule endoscopy is painless and is likely to have a higher take up rate compared to conventional colonoscopy and gastroscopy. Double imager capsules with increased frame rates have been used to image the esophagus for Barrett's and esophageal varices. The image quality is not bad but needs to be improved if it is to become a realistic substitute for flexible upper and lower gastrointestinal endoscopy. An increase in the frame rate, angle of view, depth of field, image numbers, duration of the procedure and improvements in illumination seem likely. Colonic, esophageal and gastric capsules will improve in quality, eroding the supremacy of flexible endoscopy, and become embedded into screening programs. Therapeutic capsules will emerge with brushing, cytology, fluid aspiration, biopsy and drug delivery capabilities. Electrocautery may also become possible. Diagnostic capsules will integrate physiological measurements with imaging and optical biopsy, and immunologic cancer recognition. Remote control movement will improve with the use of magnets and/or electrostimulation and perhaps electromechanical methods. External wireless commands will influence capsule diagnosis and therapy and will increasingly entail the use of real-time imaging. However, it should be noted that speculations about the future of technology in any detail are almost always wrong.

Dendritic Cells Algorithm and Its Application to Nmap Portscan Detection

Dendritic Cells Algorithm （DCA） is a new development in Artificial Immune System （AIS）. It has various parameters, and as yet has not been ex- tensively tested. The general applicability of the al- gorithm to a variety of problems is d. The aim of this work is to demonstrate the feas^ility and ro- bustness of the algorithm, and the sensitivity to the change of various parameters in a series of experi- ments for Nmap portscan detection by using DCA. Experiment results show that the algorithm per- forms well on the task of detecting a ping based Nmap portscan. Sensitivity analysis is also per- formed. True positive rate is higher for the detec- tion of anomaly processes and false positive rate is lower for the detection of normal orocesses.

Edge detection based on object tree image representation and wavelet transform

In applications such as image retrieval and recognition, precise edge detection for interested regions plays a decisive role. Existing methods generally take little care about local characteristics, or become time consuming if every detail is considered. In the paper, a new method is put forward based on the combination of effective image representation and multiscale wavelet analysis. A new object tree image representation is introduced. Then a series of object trees are constructed based on wavelet transform modulus maxima at different scales in descending order. Computation is only needed for interested regions. Implementation steps are also given with an illustrative example.

One new species of the genus Uenostrongylium(Coleoptera:Tenebrionidae) from China

One new species,Uenostrongylium scaber Yuan Ren sp.nov.(China,Zhejiang),is described.Habitus and illustrations are provided,and a key to the genus Uenostrongylium is also given.

A NOVEL INTRUSION DETECTION MODE BASED ON UNDERSTANDABLE NEURAL NETWORK TREES

Several data mining techniques such as Hidden Markov Model (HMM), artificial neural network, statistical techniques and expert systems are used to model network packets in the field of intrusion detection. In this paper a novel intrusion detection mode based on understandable Neural Network Tree (NNTree) is pre-sented. NNTree is a modular neural network with the overall structure being a Decision Tree (DT), and each non-terminal node being an Expert Neural Network (ENN). One crucial advantage of using NNTrees is that they keep the non-symbolic model ENN’s capability of learning in changing environments. Another potential advantage of using NNTrees is that they are actually “gray boxes” as they can be interpreted easily if the num-ber of inputs for each ENN is limited. We showed through experiments that the trained NNTree achieved a simple ENN at each non-terminal node as well as a satisfying recognition rate of the network packets dataset. We also compared the performance with that of a three-layer backpropagation neural network. Experimental results indicated that the NNTree based intrusion detection model achieved better performance than the neural network based intrusion detection model.

High-speed corner detection based on fuzzy ID3 decision tree

A high-speed comer detection algorithm based on fuzzy ID3 decision tree was proposed. In the algorithm, the Bresenham circle with 3-pixel radius was used as the test mask, overlapping the candidate comers with the nucleus. Connected pixels on the circle were applied to compare the intensity value with the nucleus, with the membership function used to give the fuzzy result. The pixel with maximum information gain was chosen as the parent node to build a binary decision tree. Thus, the comer detector was derived. The pictures taken in Fengtai Railway Station in Beijing were used to test the method. The experimental results show that when the number of pixels on the test mask is chosen to be 9, best result can be obtained. The comer detector significantly outperforms existing detector in computational efficiency without sacrificing the quality and the method also provides high performance against Poisson noise and Gaussian blur.

Use of random amplified polymorphic DNA （RAPD） analysis to detect jujube witches＇ broom phytoplasmas

Jujube witches＇ broom is a devastating disease of Ziziphusjujube that occurs in various jujube regions of China. Nucleic acid extracted from midribs of samples collected from three jujube varieties （＂Suanzao＂, ＂Lajiaozao＂ and ＂Langzao＂） from symptomatic and asymptomatic shoots were tested by random amplified polymorphic DNA analyses. Using 13 different 10 and 11-bp random primers the amplification of jujube DNA was achieved from all the samples; AMI4 primer provided amplification of specific DNA fragments of about 400 bp, only from samples collected from symptomatic plants. No genetic variations in these varieties were identified using the other 11 arbitrary primers; only with primer AL07 it was possible to differentiate ＂Langzao＂ from the other two varieties tested. All the experiments were repeated 2 times and the results were consistent. Compared with PCR analyses with phytoplasma-specific primers, RAPD techniques resulted to be an alternative rapid and sensitive method for detecting jujube phytoplasmas presence in different jujube varieties.

THE TREE SHREW APOLIPOPROTEIN C-I cDNA: SEQUENCE AND ITS EXPRESSION

A rabbit anti serum to tree shrew apolipoprotein C I (apo C I) was used to screen an expression cDNA library constructed by us from tree shrew (TS)liver tissue. Two apo C I cDNA clones were obtained. The longer one consistsof 380 nucleotides, including 21 bp and 95 bp at the 5’ and 3’ end of the non translated regions respectively, and a 264 bp fragment in an open reading frame encoding 88 amino acids prepropeptide which contains 26 amino acids of signal peptide and a mature protein (62 amino acids). Comparing the amino acid sequence deduced from this cDNA with those of the published mammalian apo C Is reveals that it shared some structural similarity with rat, mouse and dog apo C I, but it had 5 more amino acids than that of human and baboon. The expression of apo C I mRNA in 8 different tissues were also assayed with Northern blot. The results demonstrated that liver had the highest expression, intestine had much less expression and no expression in other tissues, which is much different from human and other species. This study has laid down a good foundation for further studying on the function and the stucture of tree shrew apo C I gene.

Coseismic Effect Simulation of Yushu M_S 7.1 Earthquake and Absolute Gravity Inspection

Using the results of aftershock relocation, inversion on seismic waves and InSAR results, and surface rupture displacements obtained by geological survey after the earthquake, this paper constructs a fault model of the Yushu Ms7. 1 earthquake. Based on rectangular dislocation theory in an elastic-viscoelastic layered medium, we have simulated the co- seismic deformation and gravity change with gravitational effect considered. The pictures show that the absolute gravity measuring point is beside the extremum of coseismic gravity change, and the numerical value reaches 25.02 x 10-Sm. s-2. After a discussion about the gravity changes before the earthquake and the coherence consistency between two FG-5 absolute gravimeters, we think that the measured value 27.2 × 10^-8 m· s^-2 at Yushu station is coseismic gravity change. It＇s coincident with the simulation results based on dislocation theory. Therefore it is a good tool to test the near-field changes found by dislocation theory.

The spatial scaling effect of the discrete-canopy effective leaf area index retrieved by remote sensing

The leaf area index(LAI) is a critical biophysical variable that describes canopy geometric structures and growth conditions.It is also an important input parameter for climate,energy and carbon cycle models.The scaling effect of the LAI has always been of concern.Considering the effects of the clumping indices on the BRDF models of discrete canopies,an effective LAI is defined.The effective LAI has the same function of describing the leaf density as does the traditional LAI.Therefore,our study was based on the effective LAI.The spatial scaling effect of discrete canopies significantly differed from that of continuous canopies.Based on the directional second-derivative method of effective LAI retrieval,the mechanism responsible for the spatial scaling effect of the discrete-canopy LAI is discussed and a scaling transformation formula for the effective LAI is suggested in this paper.Theoretical analysis shows that the mean values of effective LAIs retrieved from high-resolution pixels were always equal to or larger than the effective LAIs retrieved from corresponding coarse-resolution pixels.Both the conclusions and the scaling transformation formula were validated with airborne hyperspectral remote sensing imagery obtained in Huailai County,Zhangjiakou,Hebei Province,China.The scaling transformation formula agreed well with the effective LAI retrieved from hyperspectral remote sensing imagery.

Use of Near Infrared Spectroscopy to Measure Mechanical Properties of Solid Wood

The visible and near infrared(NIR)(350-2500 nm)spectra and the MOE of 438 small clear wood samples from Chinese fir,eucalyptus and poplar 72 were measured.Using partial least-square(PLS)modeling,the NIR spectra could be used to predict MOE and MOR of the clear-wood samples from Chinese fir and eucalyptus solid wood.NIR spectra could only be used to predict MOE but not MOR of poplar clear-wood samples.With the exception of MOR of poplar clear-wood samples,the correlations between NIR and the mechanical properties are very strong,and the calibration and test correlation coefficients are both above 0.80.