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  • Permanent damage effects of CMOS image sensor caused by heavy ions irradiation

    Subjects: Physics >> Nuclear Physics submitted time 2024-05-08

    Abstract: Complementary Metal Oxide Semiconductor (CMOS) image sensor is gradually replacing CCD image sensor with small size, light weight, low power consumption, high integration and other characteristics. In the space radiation environment, it has protons, heavy particles, gamma rays, A large number of high-energy particles such as electrons, CMOS image sensors will be subject to the radiation effect of heavy ions and have permanent damage to them.This paper focuses on the mechanism of permanent damage of CMV4000 under heavy ion irradiation. CMV4000 images after heavy ion irradiation have obvious hot pixels (the dark current peak is several times higher than the dark current peak of other pixels usually shows that the gray value of the pixel is several times higher than that of other normal pixels), and the hot pixels will not disappear in the next frame image and subsequent images, so the hot pixels are not temporary.This paper also considers the comparison of image parameters of CMOS image sensor before and after irradiation and reveals the degradation mechanism of each parameter.

  • Permanent damage effects of CMOS image sensor caused by heavy ions irradiation

    Subjects: Other Disciplines submitted time 2024-05-07

    Abstract: Complementary Metal Oxide Semiconductor (CMOS) image sensor is gradually replacing CCD image sensor with small size, light weight, low power consumption, high integration and other characteristics. In the space radiation environment, it has protons, heavy particles, gamma rays, A large number of high-energy particles such as electrons, CMOS image sensors will be subject to the radiation effect of heavy ions and have permanent damage to them.This paper focuses on the mechanism of permanent damage of CMV4000 under heavy ion irradiation. CMV4000 images after heavy ion irradiation have obvious hot pixels (the dark current peak is several times higher than the dark current peak of other pixels usually shows that the gray value of the pixel is several times higher than that of other normal pixels), and the hot pixels will not disappear in the next frame image and subsequent images, so the hot pixels are not temporary.This paper also considers the comparison of image parameters of CMOS image sensor before and after irradiation and reveals the degradation mechanism of each parameter.

  • 新疆融媒体报道热点领域提取与分析——基于天山网新闻标题语料库的计量研究

    Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》

    Abstract:本文运用手工录入与Python相结合的方法,收集了天山网新疆新闻标题,建立“天山网新闻标题语料库”,并分别使用NLPIR-ICTCLAS汉语分词系统和MyZiciFreq字词频率统计工具对语料进行分词处理和词频统计。本文对天山网新疆新闻标题的统计和社会价值分析,为新闻标题的编写提供了参考依据,同时也展现了新疆地区融媒体所关心的热点事件,也体现出了新疆各族人民团结一心的坚定决心。

  • 新疆南部矮化红枣树干液流特征及其对环境因子的响应

    Subjects: Geosciences >> Geography submitted time 2019-10-11 Cooperative journals: 《干旱区研究》

    Abstract: 应用FLGS-TDP插针式热扩散探针技术,对策勒绿洲的矮化红枣树干液流进行长期监测,同步记录试验地周围的气象因子,分析矮化红枣树干液流变化规律,建立树干液流与环境因子之间的关系模型。结果表明:液流日变化呈单峰曲线,夏季偶尔会出现双峰曲线;天气条件对液流变化有影响,晴天条件下的液流速率最大,沙尘天气次之,雨天液流速率最低;不同季节间的液流速率差异显著,夏季液流启动于6:30左右,比春季和秋季的液流启动时间早;夏季树干液流持续时间最长,春季和秋季液流持续时间相对较短,夏季液流速率峰值最高,春季和秋季峰值偏低;生长期内液流速率与太阳辐射强度、大气温度呈显著正相关关系,与空气相对湿度呈显著负相关关系;各种环境因子中太阳辐射强度对液流速率的影响最大,相关系数为0.927,其次是大气温度,相关系数为0.725 4,空气相对湿度的影响最小,其相关系数为0.548。通过对矮化红枣树干液流进行监测,研究分析矮化红枣的水分消耗特征,为绿洲农业水资源分配管理提供数据支撑。

  • 咸海的过去、现在与未来

    Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2019-09-09 Cooperative journals: 《干旱区研究》

    Abstract: 咸海曾经是世界第四大湖,如今缩小到原来面积的约1/10。咸海究竟如何形成,又经历了怎样的演变过程及其形成机制等,一直是人们关注的问题。咸海水系(阿姆河和锡尔河流域)是青藏高原的隆升,新特提斯海的退却以及新生代全球气候变冷与海平面下降等区域和全球要素共同作用下,构成的一个完整的以青藏高原为中心的亚洲水塔体系的主要组成部分。咸海水系,从形成至大约20世纪中叶,湖泊面积与水文格局大致保持一个相对稳定的状态,只是20世纪下半叶以来,经历了大规模掠夺式的水资源开发和利用,造成了咸海危机。

  • RFE2.0遥感降水数据在新疆的适用性评价

    Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2018-10-23 Cooperative journals: 《干旱区地理》

    Abstract: 本文结合新疆的 65 个气象观测站日降水数据,采用连续验证统计方法、分类验证统计方法对RFE2.0遥感降水数据在新疆的适用性进行了评估。结果表明:(1)通过连续验证统计分析,新疆地区平均偏差MBE(mean bias error)总体为高估日降水量,均值为0.4 mm,在 0.5 mm内的站点超过70%。RFE2.0遥感降水数据与地面观测站的日降水量之间相关系数R的平均值为0.4,表现为较低的相关性。从偏离真实值情况来说,东疆模拟值和观测值最接近。(2)分类验证统计方法对降水事件FBI(frequency bias index)有所高估。按片区来说,降水事件高估的小值区主要在北疆,高估程度低于全疆平均水平。北疆的正确率POD (probability of detection)大于南疆、东疆,同时北疆发生空报率FAR(False Alarm Rate)的可能性也小于南疆、东疆。(3)通过实例验证了RFE2.0在北疆、南疆、东疆的可靠性。以上规律可为RFE2.0在新疆的应用提供科学依据。