基于图像处理技术的柑桔园估产系统研制

通过利用柑桔园代表性植株成熟期普通数码照片,运用计算机图像处理、图形识别、智能推衍等技术识别植株挂果数,建立柑桔园产量估算模型,进而对拟测产目标果园取样单株进行图像分析处理,估算出单株产量和单位面积产量,最终实现果园产量的准确估算。

基于3S技术的草地估产系统的研究与应用

该研究旨在利用全球定位系统GPS、借助G IS系统和遥感技术RS的统计和结合功能,通过多年地面观测工作和卫星影像的印证和草地专家系统分析,通过在GPS相关接收的芯片实现中改进m序列发生器的结构,实现草地信息获取,建立草地估产系统。利用该系统对草原进行估产的结果表明:所设计的各数据接口工作正常,估产结果与实测结果有很好的吻合度,且估产精度有所提高,使小范围内所获研究结果和草地视图信息得以外延和扩展。

意大利:研发出无创猕猴桃估产系统

猕猴桃是许多国家的主要水果,如意大利、中国和新西兰。然而全球对用以估计猕猴桃产量的IT系统仍缺乏研究。近期,意大利特伦托大学的研究人员研发了一套能够估计猕猴桃产量的设备。研究人员开发了一种全自动、无创的人工视觉系统来评估猕猴桃园的产量。该系统主要由安装在小型拖拉机上的光学传感器组成,小型拖拉机在果园内低速行驶并拍摄图像,图像经过处理从而做出产量估计。

Channel Estimation and Throughput Evaluation for 5G Wireless Communication Systems in Various Scenarios on High Speed Railways

The fifth generation （5G） wireless communication is currently a hot research topic and wireless communication systems on high speed railways （HSR） are important applications of 5G technologies. Existing stud- ies about 5G wireless systems on high speed railways （HSR） often utilize ideal channel parameters and are usually based on simple scenarios. In this paper, we evaluate the down- link throughput of 5G HSR communication systems on three typical scenarios including urban, cutting and viaduct with three different channel estimators. The channel parameters of each scenario are generated with tapped delay line （TDL） models through ray-tracing sim- ulations, which can be considered as a good match to practical situations. The channel estimators including least square （LS）, linear minimum mean square error （LMMSE）, and our proposed historical information based ba- sis expansion model （HiBEM）. We analyze the performance of the HiBEM estimator in terms of mean square error （MSE） and evaluate the system throughputs with different channel estimates over each scenario. Simulation results are then provided to corroborate our proposed studies. It is shown that our HiBEM estimator outperforms other estimators and that the sys-tem throughput can reach the highest point in the viaduct scenario.

Evaluation of Biological Assets： Problems and Solutions

The chief production elements of an agricultural enterprise are its biological assets and the choice and practical application of the evaluation methods, as the assets directly affect many aspects： decision making of economic character by the financial statement user, indicators of financial operation analysis, inter-comparison of sector enterprises, assessment of the company value and taxes on its economic activity, and statistical data of the agricultural sector. The authors have used the discounted cash flow （DCF） as an alternative method and a model of system dynamics. Such a system dynamics method has not been used for assessment of biological assets so far. In the operating process, the company acquires or loses possession of the resources. It is vital to analyze the resources to see whether they comply with the concept of the assets and the terms of recognition. It is necessary for the same company as well as for external users of financial statements to get true information about the business and the value of money. Biological assets may be recognized in the company＇s accounting only when it is predictable that future benefits associated with these assets will flow into the enterprise. It is also important that the fair value or the cost can be measured reliably.

Estimates of potential new production in the Java-Sumatra upwelling system

The Java-Sumatra upwelling is one of the most important upwelling systems in the Indian Ocean, with maximum upwelling intensity in July through August. To estimate the nitrate supplied by upwelling, we developed a three-dimensional hydrodynamic model to calculate the mean vertical speed and determine the depth of upwelling. We used in-situ vertical nitrate profiles to assess nitrate concentration in the upwelled waters, and calculated the nitrate supply as the product of nitrate concentration and vertical transport obtained from the numerical model. The calculated result represents potential new production generated in the upwelling region. We found that on the event time scale (monthly) of Java-Sumatra upwelling, water brought to the surface originated from locations 100-m deep, giving a nitrate supply of 93.77×10 3mol/s and potential new production of 1.02×10 14gC/a.

A Development of Augmented Reality Application： AR Band

This study promotes application of Augmented Reality （AR）, whose properties can handle multiple sensory that heightens its quality of performances, affections in first time users, and introduces the possibility and guideline in mass production through the development of＂Augmented Reality Band＂, a gadget based on AR system that allows users to interact with virtual music instruments to make music through the system that analyze printed marker on the shirt. The system is developed by using FLAR Toolkit and made accessible via AR band website. The user can run the system online from anywhere by wearing the shirt printed with embedded musical instruments AR code. In order to promote AR Band performances, the authors assessed the quality of the system from technical professionals. It has been found out that the quality level is very high （4.64/5.00） and the user satisfaction evaluated by sample group has been found in a satisfied level （4.22/5.00）. In summary, AR Band has proven its performances to enhance user satisfaction and its further development and adaptation is under discussion and suggestion section provided at the end.

Study on the evaluation system for the cleaner production of the mine

It is important to establish the evaluation system of the cleaner production of the mining enterprise, which canprovide the technical support and guidance for the cleaner production evaluation and facilitating the promotion ofcleaner productive techniques so as to realize the integration of economic development and environmental protection.This paper, according to the characteristic of mining and Analytic Hierarchy Process (AHP), establishes the evaluationindex system, puts forward the overall quantitative evaluation method based on Fuzzy Mathematics and the experts’experience, and establishes the evaluation system of cleaner production. The main problems in cleaner production of themine are analyzed by calculation, and some countermeasures and suggestions are proposed.

Nitrogen and phosphorus budgets of the Changjiang River estuary

Eutrophication has emerged as a key environmental problem in Chinese coastal waters, especially in the Changjiang (Yangtze) River estuary. In this area, large nutrient inputs result in frequent harmful algal blooms and serious hypoxia in bottom waters. Four cruises were made in the estuary in 2006 to assess the concentration and distribution of dissolved inorganic nitrogen (DIN) and phosphorus (DIP). The concentration of DIN decreased gradually in a linear relationship with salinity from the river mouth to outer waters, while DIP was relatively more dispersed. A modified box budget method was used to estimate nutrient fluxes in the estuary and its adjacent waters. Water and nutrient budgets as well as primary production and denitrification rates were estimated from the box budget model. Estimated water residence time in the estuary was about 11 d. The turbid mixing zone released 33% of DIN and 49% of DIP, while in the adjacent outer sea 17.9 mmol DIN/m2·d and 0.36 mmol DIP/m2·d were fixed. Dissolved inorganic phosphorus was imported from the deep open sea waters, supporting primary production and population growth in this zone. Net ecosystem production (NEP) was calculated at 38.2 mmol/m2·d in the outer estuary and the estimated rate (N-fixation minus denitrification) was negative (1.92 mmol/m2·d), implying that a large amount of input nitrogen was taken up by algae and recycled through denitrification in bottom water and sediment.

Analysis of Potential Failure Modes in an Assembly Line by Fuzzy Expert Systems

The failure modes and effects analysis （FMEA） is widely applied in manufacturing industries in various phases of the product life cycle to evaluate the system, its design and processes for failures that can occur. The FMEA team often demonstrates different opinions and these different types of opinions are very difficult to incorporate into the FMEA by the traditional risk priority number model. In this paper, for each of the Occurrence, Severity and Detectivity parameters a fuzzy set is defined and the opinion of each FMEA team members is considered. These opinions are considered simultaneously with weights that are given to each individual based on their skills and experience levels. In addition, the opinion of the costumer is considered for each of the FMEA parameters. Then, the Risk Priority Numbers （RPN） is calculated using a Multi Input Single Output （MISO） fuzzy expert system. The proposed model is applied for prioritizing the failures of Peugeot 206 Engine assembly line in IKCo （Iran Khodro Company）.

Risk Assessment of Carbon Sequestration for Terrestrial Ecosystems in China

Climate change will alter the capacity of carbon sequestration,and the risk assessment of carbon sequestration for terrestrial ecosystems will be helpful to the decision-making for climate change countermeasures and international climate negotiations.Based on the net ecosystem productivity of terrestrial ecosystems simulated by Atmosphere Vegetation Integrated Model,each grid of the risk criterion was set by time series trend analysis.Then the risks of carbon sequestration of terrestrial ecosystems were investigated.The results show that,in the IPCCSRES-B2 climate scenario,climate change will bring risks of carbon sequestration,and the high-risk level will dominate terrestrial ecosystems.The risk would expand with the increase of warming degree.By the end of the long-term of this century,about 60% of the whole country will face the risk;Northwest China,mountainous areas in Northeast China,middle and lower reaches plain of Yangtze River areas,Southwest China and Southeast China tend to be extremely vulnerable.Risk levels in most regions are likely to grow with the increase of warming degree,and this increase will mainly occur during the near-term to mid-term.Northwest China will become an area of high risks,and deciduous coniferous forests,temperate mixed forests and desert grassland tend to be extremely vulnerable.