用VB协助非线编完成倒放特技

我们在很多电影、电视中看到这样的特技镜头:一个人跳上一个不可思议的高度,破碎的玻璃神奇地复原,我想实现这种特技的原理大家都很清楚,它就是将正常的片段倒放一下即可;然而,我们在使用非线编的众多特技中却找不到倒放这一项特技功能,以致于放弃了许多极富创意的制作计划。 实际上,我们利用VB灵活的编程能力再配合非线编强大的编辑制作功能,就能很轻易地完成倒放这一特技效果。

术后病人应用完全胃肠外营养支持的疗效观察

术后病人的营养支持越来越受到重视，尤其是消化系统恶性肿瘤病人。由于术后短期内不能恢复经口进食，而且大多数伴有不同程度的营养不良，术后及时给予全胃肠外营养（ＴＰＮ）支持就显得尤为必要。本文随机选择消化系统恶性肿瘤病人３０例，均给予ＴＰＮ支持治疗，现报告...

证据推理及其在决策支持中的应用

本文叙述了证据推理的基本概念、理论体系及其在描述不确定问题和模糊问题时的特殊能力,给出了证据推理语言的语法规则及将其编译成Prolog的方法,指出了它在DSS的定性决策和模型调度中的应用。

Effect of Technology Support for Social Network on Agricultural Technology Diffusion

[Objective] To analyze the key factor in agricultural technology diffusion- technology support, and to explore the method to quicken the diffusion of agricultural technology. [Method] The technology acquisition advantage of social network was il- lustrated by summarizing the status and characteristics of agricultural technology and technology supporting types in the process of agriculture technology diffusion. [Result] The multi-layer, complex, persistence, systematization features of agricultural technol- ogy require support and help of technology from surrounding social network to ulti- mately internalize the technology. [Conclusion] Using social networks for the technol- ogy support will be a powerful supplement to the system of agricultural technology diffusion.

基于GIS的宁德市水资源管理信息系统设计

分析了宁德市水资源管理的现状,提出了基本C/S和B/S结构相结合的宁德市水资源管理信息系统的设计方案,实现了GIS平台下的水资源信息可视化管理功能.

Method of Establishing Object-Oriented System Structure for Decision Support System

In order to solve existing problems about the method of establishing traditional system structure of decision support system(DSS), O S chart is applied to describe object oriented system structure of general DSS, and a new method of eight specific steps is proposed to establish object oriented system structure of DSS by using the method of O S chart, which is applied successfully to the development of the DSS for the energy system ecology engineering research of the Wangheqiu country. Supplying many scientific effective computing models, decision support ways and a lot of accurate reliable decision data, the DSS plays a critical part in helping engineering researchers to make correct decisions. Because the period for developing the DSS is relatively shorter, the new way improves the efficiency of establishing DSS greatly. It also makes the DSS of system structure more flexible and easy to expand.

BOOSTING SPARSE LEAST SQUARES SUPPORT VECTOR REGRESSION (BSLSSVR) AND ITS APPLICATION TO THRUST ESTIMATION

In order to realize direct thrust control instead of conventional sensors-based control for aero-engine, a thrust estimator with high accuracy is designed by using the boosting technique to improve the performance of least squares support vector regression （LSSVR）. There exist two distinct features compared with the conven- tional boosting technique： （1） Sampling without replacement is used to avoid numerical instability for modeling LSSVR. （2） To realize the sparseness of LSSVR and reduce the computational complexity, only a subset of the training samples is used to construct LSSVR. Thus, this boosting method for LSSVR is called the boosting sparse LSSVR （BSLSSVR）. Finally, simulation results show that BSLSSVR-based thrust estimator can satisfy the requirement of direct thrust control, i.e. , maximum absolute value of relative error of thrust estimation is not more than 5‰.

Study on the Landscaping Technologies for Coastal Saline-Alkali Land in Tanghai County of Tangshan City

Tanghai County is one of the counties in Tangshan City with the highest saline-alkali degree, with 80% of its land being covered by saline-alkali soils. Through studying landscaping technologies for coastal saline-alkali land in Tanghai County, 3 dominant modes for landscaping engineering in such land were summarized as shallow underground pipe desalination technology, banding soil replacement technology and hole membrane soil replacement technology, which are different in application scope and also in cost (respectively 260, 210 and 170 yuan). 3 landscaping measures were also proposed, including promotion of suitable plant cultivation technologies, application of saline-alkali tolerant plants and biological improvement of soils. To explore economic and practical planting patterns for saline-alkali land, low-cost landscaping tests were conducted from the perspectives of improving landscaping engineering mode and optimizing landscaping measures, and the results showed that it was practical to apply low-cost landscaping patterns, and comprehensive ecological measures should be adopted to realize the sustained utilization of soil.

Development of Sustainable Solutions for Zebra Mussel Control Through Chemical Product Engineering

The zebra mussel is an important aquatic pest that causes great damage to freshwater-dependent industries, due to biofouling. The main goal of the project discussed here is to develop improved solutions to control this species. Three approaches have been explored in an attempt to design innovative application strategies for existing biocides： （i） encapsulation of toxins; （ii） combination of toxins; （iii） investigation of the seasonal variation of the species＇ tolerance to toxins. In this paper, the principles behind these approaches and the major results on each topic are presented. The benefits of adopting a chemical product engineering approach in conducting this project are also discussed.

Generation of the data required by Conservation Model

Remote sensing techniques and geographic information systems offer a good means of collecting and manipulating the data required for assessing conservation practices. A method for automatic generation of most of the data required by the Agricultural Non point Source erosion model is developed from three sources:(1) file with contour lines from the topographic maps(TM), (2) soil mapping units from the soil surveys, and (3)land cover from land sat TM image classification.

Network Security Incidents Frequency Prediction Based on Improved Genetic Algorithm and LSSVM

Since the frequency of network security incidents is nonlinear,traditional prediction methods such as ARMA,Gray systems are difficult to deal with the problem.When the size of sample is small,methods based on artificial neural network may not reach a high degree of preciseness.Least Squares Support Vector Machines (LSSVM) is a kind of machine learning methods based on the statistics learning theory,it can be applied to solve small sample and non-linear problems very well.This paper applied LSSVM to predict the occur frequency of network security incidents.To improve the accuracy,it used an improved genetic algorithm to optimize the parameters of LSSVM.Verified by real data sets,the improved genetic algorithm (IGA) converges faster than the simple genetic algorithm (SGA),and has a higher efficiency in the optimization procedure.Specially,the optimized LSSVM model worked very well on the prediction of frequency of network security incidents.

Challenges and new insights for exploitation of deep underground metal mineral resources

Long-term and continuous large-scale exploitation has increasingly exhausted shallow metal mineral resources,and deep mining has become inevitable.The current global status of deep mining of metal mineral resources was presented,a series of engineering challenges faced by deep mining were systematically analyzed,and some progress and future innovation focus in key engineering technologies,such as the prediction and prevention of rockburst,cooling techniques,rock support techniques,deep hoisting techniques,and several nontraditional deep mining techniques,were highlighted.Meanwhile,new insights into development strategies of deep mining technology were proposed.The integration of these forward-looking key innovative technologies will form the overall framework of an innovative technology system for the deep mining of metal minerals.This technology system will help to achieve safe,efficient,and green exploitation of deep underground metal mineral resources and ensure the sustainable development of the metal mining industry.

Upper bound solution for supporting pressure acting on shallow tunnel based on modified tangential technique

Based on the nonlinear failure criterion and the upper bound theorem, the modified tangential technique method was proposed to derive the expression of supporting pressure acting on shallow tunnel. Instead of the same stress state, different normal stresses on element boundaries were used. In order to investigate the influence of different factors on supporting pressures, the failure mechanism was established. The solution of supporting pressure, with different parameters, was obtained by optimization theory. The corresponding failure mechanism and numerical results were presented. In comparison with the results using the single tangential technique method, it is found that the proposed method is effective, and the good agreement shows that the present solution of supporting pressure is reliable.

Physical Effectiveness of Soil and Water Conservation Technologies in Drought Prone Areas of Western and Central Uganda

The effect of soil and water conservation （SWC） practices on controlling surface runoff and soil loss was studied in drought prone banana growing areas of Uganda, during the two major rainy seasons of 2014. The study was conducted at two sites-- Ntungamo （Southwest） and Sembabule （Central）, with comparable slopes of about 13%-25%. The treatments included mulch, manure, manure ＋ mulch and a control with no conservation. Results indicated that conservation practices of mulch and manure ＋ mulch significantly reduced surface runoff and soil loss by about 72%-85%, when compared to farmers＇ up-and-down cultivation practice （control）. It was also observed that significantly greater amounts of soil loss occurred from manure and control plots than the ones with mulch. Thus, the combination of manure and mulch is recommended for uptake by crop farmers in the study areas, if they are to overcome drought stress and adapt to changes in climate. More research is needed to quantify nutrient losses resulting from runoff under the different SWC techniques. Modeling such effects is essential in assessing the impacts of SWC practices on soil and crop productivity.

Major Technologies for Safe Construction of High Earth-Rockfill Dams

The earth-rockfill dam is one of the primary dam types in the selection of high dams to be constructed in Western China, since it is characterized by favorable adaptability of the dam foundation; full utilization of local earth, rock, and building-excavated materials; low construction cost; and low cement consumption. Many major technical issues regarding earth-rockfill dams with a height of over 250 m were studied and solved successfully in the construction of the 261.5 m Nuozhadu earth core rockfill dam. This paper describes research achievements and basic conclusions; systematically summarizes the accumulated experiences from the construction of the Nuozhadu Dam and other high earth-rockfill dams; and discusses major technical issues, such as deformation control, seepage control, dam slope stability, safety and control of flood discharging, safety and quality control of dam construction, safety assessments, early warning, and other key technical difficulties. This study also provides a reference and technological support for the future construction of 300 m high earth-rockfill dams.

Tracheobronchial Polyflex stents for the management of benign refractory hypopharyngeal strictures

AIM:To describe a modified technique for placement of a tracheobronchial self-expanding plastic stent(SEPS) in patients with benign refractory hypopharyngeal strictures in order to improve dysphagia and allow stricture remodeling.METHODS:A case series of four consecutive patients with complex hypopharyngeal strictures after combinedtherapy for laryngeal cancer,previously submitted to multiple sessions of dilation without lasting improvement,is presented.All patients underwent placement of a small diameter and unflared tracheobronchial SEPS.Main outcome measurements were improvement of dysphagia and avoiding of repeated dilation.RESULTS:The modified introducer system allowed an easy and technically successful deployment of the tracheobronchial Polyflex stent through the stricture.All four patients developed complications related to stent placement.Two patients had stent migration(one proximal and one distal),two patients developed phanryngocutaneous fistulas and all patients with stents in situ for more than 8 wk had hyperplastic tissue growth at the upper end of the stent.Stricture recurrence was observed at 4 wk follow-up after stent removal in all patients CONCLUSION:Although technically feasible,placement of a tracheobronchial SEPS is associated with a high risk of complications.Small diameter stents must be kept in place for longer than 3 mo to allow adequate time for stricture remodeling.

Support technology for mine roadways in extreme weakly cemented strata and its application

For the engineering geology conditions of bad mine roadway roof and floor lithology in extremely weak cemented strata, the best section shape of the roadway is determined from the study of tunnel surrounding rock displacement, plastic zone and stress distribution in rectangular, circle arch and arch wall sections, respectively. Based on the mining depth and thickness of the coal seam, roadway support technology solutions with different buried depth and thickness of coal seam are proposed. Support schemes are amended and optimized in time through monitoring data of the deformation of roadway, roof separation, l-beam bracket, bolt and anchor cable force to ensure the long-term stability and security of the roadway surrounding rock and support structure. The monitoring results show that mine roadway support schemes for different buried depth and section can be adapted to the characteristics of ground pressure and deformation of the surrounding rock in different depth well, effectively control the roadway surrounding rock deformation and the floor heave and guarantee the safety of construction and basic stability of surrounding rock and support structure.

The impact of information technology on human resource management mode and the selection factors

With the continuous development of information technology, information technology has penetrated into all walks of society, which has a growing influence on the socio-economic management including the impact of human resource management. From the nature of information processing and analysis of information technology, this thesis probes into the impact of information technology on human resource management model and builds a closed-loop model of modem human resources management with the support of information technology. This paper also analyzes the effect of the closed-loop model of modem human resources management supported by the information technology, as well as the requests of IT application in the future, which is designed to help people understand the human resource management from the perspective of IT applications.

SVM with discriminative dynamic time alignment

In the past several years, support vector machines （SVM） have achieved a huge success in many fields, especially in pattern recognition. But the standard SVM cannot deal with length-variable vectors, which is one severe obstacle for its applications to some important areas, such as speech recognition and part-of-speech tagging. The paper proposed a novel SVM with discriminative dynamic time alignment （ DDTA - SVM） to solve this problem. When training DDTA - SVM classifier, according to the category information of the training sampies, different time alignment strategies were adopted to manipulate them in the kernel functions, which contributed to great improvement for training speed and generalization capability of the classifier. Since the alignment operator was embedded in kernel functions, the training algorithms of standard SVM were still compatible in DDTA- SVM. In order to increase the reliability of the classification, a new classification algorithm was suggested. The preliminary experimental results on Chinese confusable syllables speech classification task show that DDTA- SVM obtains faster convergence speed and better classification performance than dynamic time alignment kernel SVM （ DTAK - SVM）. Moreover, DDTA - SVM also gives higher classification precision compared to the conventional HMM. This proves that the proposed method is effective, especially for confusable length - variable pattern classification tasks