Technological advances in communication and computing coupled with low costs of sensors have enabled large-scale deployment of video camera networks in our environment nowadays. They are increasingly being used by decision-makers for perceiving elements of an environment in real-time, comprehending their meaning and predicting their status in the near future. Such situational awareness is crucial in dynamic scenarios that arise in military command and control, facility security and emergency services such as policing and fire-fighting. While human perception driven situation awareness has worked well in constrained settings, it is unfortunately not scalable. Furthermore, scenarios such as security and surveillance commonly involve highly complex cognitive tasks that can quickly become monotonous and mentally taxing for human operators. In this thesis, we present new frameworks for automating the perception stage of situation awareness.

关键词：传感器;情境意识;态势感知

查看摘要 索取原文[93页]

According to the limited accuracy of the current MEMS inertial sensors,the motion displacement method obtained by direct acceleration of the second integration to will bring large errors,this paper presents an motion tracking solution method for tracking three-dimensional arm movement,by changing three-dimensional arm motion into the translational tracking of the plane,complementary filter for multi-sensor data fusion for data integration and correction is designed and the translational tracking method is introduced detailed,The experimental results show that the proposed method can improve tracking accuracy and stability in arm writing motion without noticeable drift.

关键词：互补滤波器；转化跟踪

查看摘要 索取原文[6页]

Satellite image data fusion is a topic of interest in many areas including environmental monitoring, emergency response, and defense. Typically any single satellite sensor cannot provide all of the bene ts o ered by a combination of di erent sensors (e.g., high-spatial but low spectral resolution vs. low-spatial but high spectral,optical vs. SAR). Given the respective strengths and weaknesses of the di erent types of image data, it is bene cial to fuse many types of image data to extract as much information as possible from the data.Our work focuses on the fusion of multi-sensor image data into a uni ed representation that incorporates the potential strengths of a sensor in order to minimize classi cation error. Of particular interest is the fusion of optical and synthetic aperture radar (SAR) images into a single, multispectral image of the best possible spatial resolution. We explore various methods to optimally fuse these images and evaluate the quality of the image fusion by using K-means clustering to categorize regions in the fused images and comparing the accuracies of the resulting categorization maps.

关键词：卫星图像；数据融合；聚类；评价

查看摘要 索取原文[8页]

关键词：3.5 GHz；统一；TDD频谱

查看摘要 索取原文[1页]

Data acquisition is the must fundamental task of the wireless sensor network.This sensor data to reduce redundancy of the compression mechanism,compression module is given a concrete realization of the cost of the LTC algorithm itself.Compression mechanism of the design decisions were discussed motives,given the specific description of the mechanism,combined with the concrete realization of the system compression module analyzes its performance.

关键词：数据采集；数据冗余；成本预测；LTC；压缩判断

查看摘要 索取原文[5页]

Based on different methodologies, we have developed a new methodology that synthesizes, accelerates and opfimizes the application of Adaptive Business Intelligence (ABI) in medicine, genomics, pharmaceuticals and other related sciences This methodology -in its final phase culminates in a stage called "Predictive Software Development", where the model obtained may be used to generate a prediction oriented appfieation that can be implemented in different programming languages. The work presents the methodology and also the steps followed in the development of a predictive application for self-adapting environments for a particular case study of hypothyroidism.

关键词：商业智能；预测；应用程序；自适应

查看摘要 索取原文[5页]

全球范围内，运营商，尤其是移动运营商，都面临着支出增长远高于营收增长的困境。一方面，数据流量的高速增长带动了资本支出的增长，而越来越复杂的服务与应用，以及用户对服务期望值的日渐提高，进一步促使运营支出不断高涨；另一方面，各种 OTT应用（Over The Top，指通过互联网向用户提供各种应用服务）对于运营商传统业务的侵蚀，以及竞争导致的价格滑坡，使得营收增长速度开始下降。这对运营商的盈利能力带来巨大挑战，并影响了其企业价值和为股东带来的回报。

关键词：电信运营商；转型

查看摘要 索取原文[7页]

We address the problem of verifying Probabilistic Computation Tree Logic (PCTL) properties of Markov Decision Processes (MDPs) whose state transition probabilities are only known to lie within uncertainty sets.We first introduce the model of Convex-MDPs (CMDPs), i.e., MDPs with convex uncertainty sets. CMDPs generalize Interval-MDPs (IMDPs) by allowing also more expressive (convex) descriptions of uncertainty.Using results on strong duality for convex programs, we then present a PCTL verification algorithm for CMDPs, and prove that it runs in time polynomial in the size of a CMDP. This result allows us to lower the previously known algorithmic complexity upper bound for IMDPs from co-NP to PTIME, and it is valid also for more expressive (convex) uncertainty models.

关键词：概率计算树逻辑;马尔可夫决策;凸规划;转移概率

查看摘要 索取原文[46页]

关键词：兰州信息产业园；高科技企业

查看摘要 索取原文[1页]

关键词：运营商；营销费；骤减

查看摘要 索取原文[1页]