51 research outputs found

    Military Report of Domestic Media and National Military Image Building ——A Case Study of Military Report of China Military Online in 2009

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    随着中国综合国力的日渐增强,中国的国际地位不断攀升。与此同时,中国的军事发展也受到国际舆论的关注。建国以来,我国一直奉行防御性的国防政策,无论综合国力、军事实力如何变化,我国国防政策的防御性一直没有改变。但我国家军事形象与我国实际推行的国防政策及军事实践并不完全相符。一国的国家形象是由本国的国家形象建构体系和国际上他国对本国的国家形象建构体系共同塑造而成的。目前,“中国军事威胁论”的论调依然不绝于耳。美国、日本、印度等国家通过政界、军方、学界和媒体制造“中国军事威胁论”,直指中国的军事发展会威胁他国和局部区域的和平和稳定。其中,媒体是国际舆论得以发声的一个重要平台。考虑到美国等国媒体的发展态势...With China's overall national strength increases, China's international status advances constantly. Since the founding of the people's republic of China, our country has always pursued the defensive policy, which is marked by defensiveness. No matter how overall national strength and military strength changed, the defensiveness of our country's defensive policy remained unchanged. However, our cou...学位:文学硕士院系专业:新闻传播学院广告学系_传播学学号:3062007115246

    Synthesis, Characterization and Asymmetric Catalytic Epoxidation of Novel Chiral Ruthenium(Ⅲ) Complexes

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    合成了一系列含手性联吡啶的钌 (Ⅲ )络合物 ,并对其进行了IR、UV Vis、CD、电导率等表征。初步考察了其对苯乙烯的不对称催化环氧化性能 ,获得最高达 6 0 %的e.e.值。Some Ru(Ⅲ) complexes with chiral bipyridine have been prepared. The characterization of the complexes was accomplished by IR, UV-vis, CD spectral studies and conductance measurements. The asymmetric epoxidation catalyzed by the complexes was examined with styrene, giving the enantiomeric excess up to 60%.国家自然科学基金 (2 0 1710 37,2 0 0 730 34 );; 福建省自然科学基金 (2 0 0 2F0 16 ,C0 0 2 0 0 0 1)资助项

    China’s Collective Forest Tenure Reform Trends and Performance Evaluation——A Household Survey Based on the 1050 Farmers in 22 Provinces (Autonomous Regions and Municipalities)

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    【中文摘要】 根据2011年对全国22省(区、市)76村1050户农户的调查数据,从微观角度跟踪观察了本次集体林权制度改革村庄实践态势,并对其经济、社会绩效进行了评估。调查显示:近7成的农户领到林权证,与林改前相比,样本户的承包山总面积累计有10%左右的增加;农户对国家林业政策稳定性仍有疑虑;部分地区政策执行不到位;林权抵押贷款政策实施面临一些困难。研究表明:随着集体林权制度改革的深入推进,农户对林地的投入有所增加;林农收入有所增加;社会资金向林产业积聚,社会造林绿化积极性提高;林下经济取得了初步发展。【基金】 国家林业局委托课题“中国林改百村跟踪观察项目”(编号:JG08062

    中国科学院力学研究所非线性力学国家重点实验室;

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    对低马赫数可压缩各向同性湍流的时间统计性质、能量谱方程的EDQNM封闭问题进行了系统深入的研究:(1)首先用泰勒级数展开方法推导出拉格朗日时间尺度和欧拉时间尺度之间的关系式;(2)然后根据该关系式和swept-wave模型得到了拉格朗日时空关联;(3)最后根据得到的拉格朗日时空关联发展出弱可压缩各向同性湍流的EDQNM封闭模型,并计算出了能量谱和亚格子涡黏系数

    均匀各向同性湍流中速度和速度梯度的时间尺度

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    采用准正态分布理论解析计算出了不可压缩均匀各向同性湍流中速度梯度张量的欧拉和拉格郎日时间尺度。从计算结果中可以得到如下结论:(1)对于欧拉时间关联来说,速度和速度梯度具有相同的去关联机制,它们的特征时间尺度由下扫效应确定;(2)对于拉格郎日时间关联来说,速度和速度梯度也具有相同的去关联机制,它们的特征时间尺度由拉伸效应确定。计算得到的速度梯度的拉格郎日时间尺度证实了Meneveau等的猜测,并

    A Lane Departure and Forward Collision Warning System for Smartphones

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    在台灣一年有接近200,000起道路交通事故,其中「未注意車前狀況」及「未保持安全距離、間隔」的肇事原因各佔了當場死亡車禍事件18.91%和3.95%,有鑑於此,本論文發展一套於智慧型手機平台上之駕駛輔助安全系統,藉由電腦視覺技術達到車道偵測與前車偵測,來提醒駕駛行車疏忽,以保障駕駛及用路人之安全,並且選擇以智慧型手機為發展平台,具有高普及性、低成本和簡易設置優點。 本論文所提出的方法以電腦視覺技術為基礎,車道偵測利用車道標線特性,進行特徵點的擷取,經由霍夫轉換,求出最佳車道標線。前車偵測部分,由於日間與夜間車輛所呈現的特性不同,各自有對應的方法,日間利用垂直、水平邊緣偵測、車底陰影和對稱特性,夜間則利用左右後車燈的高亮度特性,進行前車偵測。實驗結果發現,本系統適用於日間、陰雨天和夜間不同環境,車道偵測率平均高達九成,而前車偵測率平均也可達八成,此外,處理時間只需要約0.2秒,滿足警示駕駛即時反應之需求。Among the 200,000 yearly traffic accidents in Taiwan, 18.91% and 3.95% of the fatal automobile accidents are caused by driving distractions and not maintaining a safe distance from other vehicles, respectively. Hence, the objective of this thesis is to develop a driving assistance system on smart phones. This system will utilize computer vision algorithms to achieve detections of driving lanes and distance to the front vehicle in order to ensure the safety of the driver and others. We choose smart phones as our development platform because of their prevalence in current society in addition to their low cost and easy installation. The methods used in this thesis use computer vision techniques as basis. Lane detection uses properties of the lane markers in order to extract their features for best fit line through Hough transform. Using different properties exhibited by the vehicles during the day and night time, our system can detect the front vehicle with robustness. During the day, edge detection and vehicle shadows are used while the characteristics of vehicle tail lights are exploited for vehicle detection at night. Experimental results show that our system is capable of achieving an average lane detection rate of 90% in different time of day and weather conditions. In addition, front-vehicle detection has an average detection rate of 80%. The performance of our system is also satisfactory since it only requires 0.2 second which satisfies the requirements for real-time driving assistance systems

    加强研究机構和工厂的合作

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    生物可分解聚乳酸複合材料系統的製備及其放線菌分解動力模型

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    [[sponsorship]]東海大學[[conferencetype]]國內[[conferencedate]]20140110~20140111[[iscallforpapers]]Y[[conferencelocation]]台中, 台

    Image Edge Detection Algorithm Based on Rough Set Theory and Mathematical Morphology

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    分析了数学形态学和粗集理论之间的联系,对基于粗集的数学形态学在边缘检测领域方面的应用作了探讨,并将其与传统的形态学方法进行了比较。从实验的结果可以明显看出,基于粗集的形态学方法处理的结果清晰,其性能明显优于传统的形态学
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