Data sharing mechanism of various mineral resources based on blockchain

Basins with various mineral resources coexisting and enriching often occupy an important strategic position. The exploration of various mineral resources is repetitive at present due to unshared data and imperfect management mechanism. This situation greatly increases the cost of energy exploitation in the country. Traditional data-sharing mode has several disadvantages, such as high cost, difficulty in confirming the right of data, and lack of incentive mechanism, which make achieving real data sharing difficult. In this paper, we propose a data-sharing mechanism based on blockchain and provide implementation suggestions and technical key points. Compared with traditional data-sharing methods, the proposed data-sharing mechanism can realize data sharing, ensure data quality, and protect intellectual property. Moreover, key points in the construction are stated in the case study section to verify the feasibility of the data-sharing system based on blockchain proposed in this paper.     

155Mb／s时分光交换系统

本文介绍了国内第一个１５５Ｍｂ／ｓ时分光交换实验系统。系统以新型半导体光器件－半导体光开关门为核心构成，传输速度为１５５Ｍｂ／ｓ。     

As离子注入形成硅化钨的研究

大规模集成电路的发展使集成度不断提高,器件尺寸减小,线条变窄。现常用的多晶硅栅和互连,由于电阻率高,限制了集成电路的速度。近年发展起来的硅化物材料,因其电阻率低、稳定性好、自对准性能好而常被用作大规模集成电路中的欧姆接触,互连和肖特基势垒。     

15万t/a双甲氨合成联合装置设计

从工艺路线的比较、压力等级的选择、主要设备的选型等方面阐述了双甲氨合成联合装置的设计特点。结合生产运行实践,分析了双甲氨合成工艺路线的运行参数,与采用不同工艺的生产消耗和产品成本进行了对比。结果表明,该工艺吨氨节约成本80元,精醇成本为1112.6元/t,经济效益显著且生产运行稳定。     

校车车身结构的有限元分析

建立某型校车的有限元模型,计算在不同工况下其车身骨架的静态强度.计算结果表明:在弯曲和扭转工况下,该校车最大应力分别为154.8和171.4 MPa,均小于Q235屈服应力235 MPa;最大变形分别为4.925和12.92 mm,满足《客车定型试验规程(GB/T 13043—2006)》中所规定的弯曲和扭转工况下10及12 mm的限额;车身结构整体应力大多集中在30 MPa左右,有较大的安全裕度.分析结果可为该校车车身骨架结构优化提供参考.     

基于光纤陀螺的水布垭水电站大坝面板挠度变形规律分析

水布垭水电站混凝土面板堆石坝采用光纤陀螺(FOG)监测面板挠度变形。通过对监测资料分析,全面揭示了水布垭面板堆石坝面板挠度变形特点和一般规律,即:面板挠度变形整体趋于收敛,坝高1/3附近和运行低水位高程附近面板反弹出现峰值。监测成果为大坝安全运行提供重要依据。     

基于Map-Reduce并行构架和AE的大数据指纹监控识别算法

传统的指纹识别监控方法在应用到以海量、在线和增量为特征的大数据环境中时,不能自动高效地进行识别;由此设计了一种基于Map-Reduce并行框架和AE的大数据智能监控指纹识别算法;首先,设计了基于AE和BP神经网络的识别模型,采用AE进行指纹图像自动特征提取,然后提出了一种基于比较差异算法对AE进行参数初始化的训练算法,采用BP神经网络进行具体识别;最后,将识别过程分解为Map函数和Reduce函数;在Map-Reduce并行框架下对FVC2004中的指纹数据库进行实验,实验结果表明了文中方法能自动、高效地进行指纹识别。     

Detecting Driver Normal and Emergency Lane-Changing Intentions With Queuing Network-Based Driver Models

Driver intention detection is an important component in human-centric driver assistance systems. This article proposes a novel method for detecting driver normal and emergency left- or right-lane-changing intentions by using driver models based on the queuing network cognitive architecture. Driver lane-changing and lane-keeping models are developed and used to simulate driver behavior data associated with 5 kinds of intentions (i.e., normal and emergency left- or right-lane-changing and lane-keeping intentions). The differences between 5 sets of simulated behavior data and the collected actual behavior data are computed, and the intention associated with the smallest difference is determined as the detection outcome. The experimental results from 14 drivers in a driving simulator show that the method can detect normal and emergency lane-changing intentions within 0.325 s and 0.268 s of the steering maneuver onset, respectively, with high accuracy (98.27% for normal lane changes and 90.98% for emergency lane changes) and low false alarm rate (0.294%).     

Testing Aesthetic and Function Design Preference for Touch Screen and Non–Touch Screen Mobile Phones Using Interactive Genetic Algorithms

Rapid mobile phone market growth has drastically shortened design cycle times forcing designers to identify user preferences quickly. Two studies test a novel method to quickly determine design preferences for touch screen and non–touch screen mobile phones. Interactive Genetic Algorithms (IGAs) are tested as an option for preference identification. IGAs efficiently explore design spaces, finding user preferences via an iterative system mimicking evolution. Each study tested six independent variables: horizontal and vertical button spacing; horizontal and vertical screen dimensions; corner radius; and user’s goal between aesthetically pleasing, functional, and both aesthetic and functional (first experiment), and aesthetic preference differences between touch screen and non–touch screen mobile phones for dialing phone numbers only (second experiment). Results showed IGAs to be a viable method; participant preference varied by goal (horizontal button spacing and screen width were most effected). Designers can employ IGAs to quickly determine aesthetic and other user preferences.     

Modeling the Influences of Cyclic Top-Down and Bottom-Up Processes for Reinforcement Learning in Eye Movements

Understanding and reproducing complex human oculomotor behaviors using computational models is a challenging task. In this paper, two studies are presented, which focus on the development and evaluation of a computational model to show the influences of cyclic top-down and bottom-up processes on eye movements. To explain these processes, reinforcement learning was used to control eye movements. The first study showed that, in a picture-viewing task, different policies obtained from different picture-viewing conditions produced different types of eye movement patterns. In another visual search task, the second study illustrated that feedback information from each saccadic eye movement could be used to update the model's eye movement policy, generating different patterns in the following saccade. These two studies demonstrate the value of an integrated reinforcement learning model in explaining both top-down and bottom-up processes of eye movements within one computational model.