基于树木望高比的材积计算方法研究

分析望高法计算树木材积的原理、适用范围,但因为望高点可能被遮挡,以及测望高效率较低问题,尝试用树高代替望高进行求积。为此,在利用既有解析木的有效数据研究形率系列(q)和形状指数(r)的基础上,提出了直接测算望高比(B)的方法,解决了测望高(h_(R))较为困难及效率较低的问题。

马尾松望高和树高相关关系的研究

望高是良好的干形指标和树干材积指标,用望高-树高相关关系式代入望高法求积式导出二元立木材积式是一种简便、易行和有效的方法。本文研究的马尾松望高H_R=1.0447929+0.577728 332H(r=0.9880)的平均误差为-1.4％,导出的二元立木材积式V=0.385g(H+3)=0.000030d^2(H+3)的平均误差为-1.49％,不仅克服了测定望高的困难,还可以提高二元立木材积式的精度。

EFFECTIVE IMAGE SEGMENTATION FRAMEWORK FOR GAUSSIAN MIXTURE MODEL INCORPORATING LOCAL INFORMATION

A new two-step framework is proposed for image segmentation. In the first step, the gray-value distribution of the given image is reshaped to have larger inter-class variance and less intra-class variance. In the sec- ond step, the discriminant-based methods or clustering-based methods are performed on the reformed distribution. It is focused on the typical clustering methods-Gaussian mixture model （GMM） and its variant to demonstrate the feasibility of the framework. Due to the independence of the first step in its second step, it can be integrated into the pixel-based and the histogram-based methods to improve their segmentation quality. The experiments on artificial and real images show that the framework can achieve effective and robust segmentation results.

Maximizing the endosonography: The role of contrast harmonics, elastography and confocal endomicroscopy

New technologies in endoscopic ultrasound(EUS) evaluation have been developed because of the need to improve the EUS and EUS-fine needle aspiration(EUS- FNA) diagnostic rate. This paper reviews the principle, indications, main literature results, limitations and future expectations for each of the methods presented. Contrast-enhanced harmonic EUS uses a low mechanical index and highlights slowflow vascularization. This technique is useful for differentiating solid and cystic pancreatic lesions and assessing biliary neoplasms, submucosal neoplasms and lymph nodes. It is also useful for the discrimination of pancreatic masses based on their qualitative patterns; however, the quantitative assessment needs to be improved. The detection of small solid lesions is better, and the EUS-FNA guidance needs further research. The differentiation of cystic lesions of the pancreas and the identification of the associated malignancy features represent the main indications. Elastography is used to assess tissue hardness based on the measurement of elasticity. Despite its low negative predictive value, elastography might rule out the diagnosis of malignancy for pancreatic masses. Needle confocal laser endomicroscopy offers useful information about cystic lesions of the pancreas and is still under evaluation for use with solid pancreatic lesions of lymph nodes.

Gaussian mixture model clustering with completed likelihood minimum message length criterion

An improved Gaussian mixture model （GMM）- based clustering method is proposed for the difficult case where the true distribution of data is against the assumed GMM. First, an improved model selection criterion, the completed likelihood minimum message length criterion, is derived. It can measure both the goodness-of-fit of the candidate GMM to the data and the goodness-of-partition of the data. Secondly, by utilizing the proposed criterion as the clustering objective function, an improved expectation- maximization （EM） algorithm is developed, which can avoid poor local optimal solutions compared to the standard EM algorithm for estimating the model parameters. The experimental results demonstrate that the proposed method can rectify the over-fitting tendency of representative GMM-based clustering approaches and can robustly provide more accurate clustering results.

Innovation and Outlook of the New Generation of Cryogenic and Quick-Launch Launch Vehicle

This paper introduces a launch vehicle scheme for the new generation of cryogenic and quick-launch launch vehicle(LM-6). The main technical innovations of LM-6 launch vehicle include the capability of twenty satellites launched by one vehicle, high-pressure staged combustion cycle engine and oxygen tank self-pressurization, sandwich bulkhead tank with 200 K temperature difference, and 7-day quick-launch using the "three horizontals" test and launch mode with integral transportation and erection. The future development of the quick-launch launch vehicle is predicted based upon the need for vehicle mission coverage improvement, better response speed, and stronger market competiveness.

On-line estimation of concentration parameters in fermentation processes

It has long been thought that bioprocess, with their inherent measurement difficulties and complex dynamics, posed almost insurmountable problems to engineers. A novel software sensor is proposed to make more effective use of those meas- urements that are already available, which enable improvement in fermentation process control. The proposed method is based on mixtures of Gaussian processes (GP) with expectation maximization (EM) algorithm employed for parameter estimation of mixture of models. The mixture model can alleviate computational complexity of GP and also accord with changes of operating condition in fermentation processes, i.e., it would certainly be able to examine what types of process-knowledge would be most relevant for local models’ specific operating points of the process and then combine them into a global one. Demonstrated by on-line estimate of yeast concentration in fermentation industry as an example, it is shown that soft sensor based state estimation is a powerful technique for both enhancing automatic control performance of biological systems and implementing on-line moni- toring and optimization.

Improved dark channel image dehazing method based on Gaussian mixture model

To solve the problem of color distortion after dehazing in the sky region by using the classical dark channel prior method to process the hazy images with large regions of sky,an improved dark channel image dehazing method based on Gaussian mixture model is proposed.Firstly,we use the Gaussian mixture model to model the hazy image,and then use the expectation maximization(EM)algorithm to optimize the parameters,so that the hazy image can be divided into the sky region and the non-sky region.Secondly,the sky region is divided into a light haze region,a medium haze region and a heavy haze region according to the different dark channel values to estimate the transmission respectively.Thirdly,the restored image is obtained by combining the atmospheric scattering model.Finally,adaptive local tone mapping for high dynamic range images is used to adjust the brightness of the restored image.The experimental results show that the proposed method can effectively eliminate the color distortion in the sky region,and the restored image is clearer and has better visual effect.

Wealth Expectations Among Lebanese Youth： The Case for Lebanese Higher Education Students

This research provides a survey of literature that contextualizes the research＇s aim of examining factors impacting students＇ aspirations and wealth expectations in Lebanon. To highlight Lebanese higher education students＇ youth＇s expectations of their future wealth, one should understand the four main factors that affect youth＇s hopes and aspirations： social, financial, cultural, and educational. Questionnaires are used to identify and assess how young individuals perceive their future wealth expectations. The developed surveys provide useful and reliable data to analyze the effects of many factors on wealth expectations and outcomes for youth. The collected information is of particular importance for identifying and assessing how factors shape wealth expectations and outcomes for youth. The samples used in this research analysis are restricted to college students only. The research findings shed light on the most crucial variables/factors that should be studied and analyzed. Once these factors are pinpointed and explained, a clear idea about higher education students＇ wealth expectations is formed. Short- and long-term expectations are taken into consideration and evaluated to formulate a basic idea about Lebanese youth.

Online split-and-merge expec tation-maximization training of Gaussian mixture model and its optimization

This paper presents a new online incremental training algorithm of Gaussian mixture model （GMM）, which aims to perform the expectation-maximization（EM） training incrementally to update GMM model parameters online sample by sample, instead of waiting for a block of data with the sufficient size to start training as in the traditional EM procedure. The proposed method is extended from the split-and-merge EM procedure, so inherently it is also capable escaping from local maxima and reducing the chances of singularities. In the application domain, the algorithm is optimized in the context of speech processing applications. Experiments on the synthetic data show the advantage and efficiency of the new method and the results in a speech processing task also confirm the improvement of system performance.

Characteristics and Development Modes of Standardization forChina's National High-Tech Zones:A Review

Indigenous innovation focused on the development of technical standards has become the core of China's innovation policy,since China released the "Outline of the National Program for Longand Medium-Term Scientific and Technological Development (2006-2020)" in 2006.Meanwhile,standardization issues are greatly emphasized by high-tech zones which serve as the major carriers of national economic growth as well as innovation clusters in the context of fast-growing international standardization.By means of the effective guide of the government,the standardization of high-tech zones in China now presents a wide range of operating modes.Specifically,they can be divided predominantly into the government promotion mode,the alliance collaboration mode,the research-standard-industry linkage mode,and the talent training mode,in terms of the main body of work and influence factors.

新出隋墓志所见大兴城城郊地名释证三题

在近年披露的百余方新出隋代墓志铭中,地理信息尤以长安城郊地区为多,如《梁衍墓志》所云大兴县"高望原",为唐宋之前唯一记录;《曹瑾墓志》所云"马头空",为隋以前文献所仅见;《朱幹墓志》所云"轵道乡"名称,原为北周乡名,隋代建立大兴城后,轵道乡或被移置到了禁苑以外,或省废了这一乡名,因而隋代文献中亦仅此一例。本文拣取这三则有关隋代大兴城城郊地名而予以释证,并探讨其地名渊源及其沿革,以期再现当地历史人文演化的踪迹。

The way to improve the energy density of supercapacitors:Progress and perspective

Compared with other energy storage devices, supercapacitors have superior qualities,including a long cycling life,fast charge/discharge processes,and a high safety rating.The practical use of supercapacitor devices is hindered by their low energy density.Here,we briefly review the factors that influence the energy density of supercapacitors.Furthermore,possible pathways for enhancing the energy density via improving capacitance and working voltage are discussed. In particular,we offer our perspective on the most exciting developments regarding high-energy-density supercapacitors, with an emphasis on future trends.We conclude by discussing the various types of supercapacitors and highlight crucial tasks for achieving a high energy density.

Discovery of two broad absorption line quasars at redshift about 4.75 using the Lijiang 2.4 m telescope

The ultraviolet broad absorption lines have been seen in the spectra of quasars at high redshift, and are generally considered to be caused by outflows with velocities from thousands kilometers per second to one tenth of the speed of light. They provide crucial implications for the cosmological structures and physical evolutions related to the feedback of active galactic nuclei(AGNs).Recently, through a dedicated program of optically spectroscopic identifications of selected quasar candidates at redshift 5 by using the Lijiang 2.4 m telescope, we discovered two luminous broad absorption line quasars(BALQSOs) at redshift about 4.75. One of them may even have the potentially highest absorption Balnicity Index(BI) ever found to date, which is remarkably characterized by its deep, broad absorption lines and sub-relativistic outflows. Further physical properties, including the metal abundances,variabilities, evolutions of the supermassive black holes(SMBH) and accretion disks associated with the feedback process, can be investigated with multi-wavelength follow-up observations in the future.