重大事件信息监测模型研究

分析了重大事件的形成机理,提出"结构问题""偶发事件"和"情境条件"三者构成了重大事件酝酿、形成和爆发的三角触发模型,因此应当建立由"决策风险监测""异态信息监测"和"社会心理监测"的三角维稳模型,以对危害社会稳定与安全的各类警源进行及时监控、预警和调解,保证社会系统健康、有序地运行。

广播电视安全播出监测调度指挥系统的设计与实现

采用B/S与C/S系统混合式结构,应用巡检通道电视图像静止检测技术、监测和调度指挥合二为一的系统平台技术等多种广播电视监测核心先进技术,设计实现广播电视安全播出监测调度指挥系统。该系统硬件包括28个监测站点,一个数据处理中心和一个预警信息发布平台;软件系统由广播监测数据采集记录、广播数据处理回放、电视监测数据采集记录、电视数据处理回放、预警信息发布和手机用户6个子系统和46个功能模块组成。系统将监测网与调度指挥网合二为一整合成一个平台,在国内率先建立能把监测信息与调度指挥系统自动链接,将异态信息和预警信息自动发布的多功能监测调度指挥系统。

Multi-dimensional Analysis on Regional Land Use——Taking Bijie City as an Example

Based on the theory of information entropy, time series and spatial variation of land use changes of Bijie City in 2009-2013 were analyzed from different dimensions such as land use degree and land use diversity. The result showed that in 2009-2013, the forest vegetation was well protected, and the construction land was under reasonable expansion under the influence of economic development, the land use degree of which developed gradually to width and depth, and the trend of information entropy showed a graduate increase, indicating that land use scale became more reasonable and the area of different land type became more balanced in Bijie in the period. The study results showed that land resources in Bijie City were used rationally under the strategy from central government local government,and Bijie was in the benign development of economic development—resource distribution—scale change. Moreover, Bijie chould further improve land use pattern such as redevelop stock construction land, optimize the industrial land use pattern and mountain agricultural land development in the future.

A Heterogeneous Information Fusion Deep Reinforcement Learning for Intelligent Frequency Selection of HF Communication

The high-frequency(HF) communication is one of essential communication methods for military and emergency application. However, the selection of communication frequency channel is always a difficult problem as the crowded spectrum, the time-varying channels, and the malicious intelligent jamming. The existing frequency hopping, automatic link establishment and some new anti-jamming technologies can not completely solve the above problems. In this article, we adopt deep reinforcement learning to solve this intractable challenge. First, the combination of the spectrum state and the channel gain state is defined as the complex environmental state, and the Markov characteristic of defined state is analyzed and proved. Then, considering that the spectrum state and channel gain state are heterogeneous information, a new deep Q network(DQN) framework is designed, which contains multiple sub-networks to process different kinds of information. Finally, aiming to improve the learning speed and efficiency, the optimization targets of corresponding sub-networks are reasonably designed, and a heterogeneous information fusion deep reinforcement learning(HIF-DRL) algorithm is designed for the specific frequency selection. Simulation results show that the proposed algorithm performs well in channel prediction, jamming avoidance and frequency channel selection.

Energy-Efficient Beamforming for Two-Tier Massive MIMO Downlink

Heterogeneous networks(HetNets)consisting of macro cells with very large antenna arrays and a secondary tier of small cells with a few antennas each can well tackle the contradiction of large coverage of the network and high data rate at the hot spots.However,it is not permissible to assign orthogonal pilot sequences for all the supported users due to the large number.Hence,we propose a pilot reduction scheme based on the heterogeneous system configurations and the unique topology of this HetNet.The reusing of pilot sequences causes the presence of the contaminated channel state information(CSI) and results in receivers' Quality of Service(QoS) outage.With the contaminated CSI,we provide an energy-efficient beamforming based on minimizing the total power consumption while keeping the QoS constraints satisfied and restricting the QoS outage probability below a given specification.By applying the approach of Bernstein approximation and semi-definite relaxation,we transform the original intractable chance constrained program to a convex problem conservatively.Numerical results show that the average power consumption of the proposed beamforming for our pilot reduction scheme is close to that of the perfect CSI case.Since our scheme will greatly compress the length of pilot sequence especially for those highly densified network with large number of small cells,it will be crucially helpful to put such two-tier massive multiple-input and multiple-output(MIMO) systems into practice.

关于广播电视监管系统应用与维护

广播电视作为国家信息传递的重要组成部分,因此采取先进的广播电视信号监管系统是保证广播电视优质播出的重要基础和保障,提升监管系统业务水平和监测能力,才能为确保全省广播电视节目安全的、优质的播出。

Facile fabrication of encryption composite materials with trilayer quasi-amorphous heterostructure

Encryption materials represent a major direction of information security,but it is challenging to realize the ideal security combining the complete hiding of complex coding,stability in transmission,camouflage,and reliable decoding.Herein,we report an innovative strategy for rationally constructing encryption composite materials with high security and portability.Compared with common colloidal photonic watermarks,our encrypted optical devices are composed of thermoplastic polyurethanes(TPU)protective layers,polystyrene(PS)switching layers and a Cd S coding layer.The optical shielding properties and phase state transition of PS layers enable high-level encoding and decoding security through thermal activation of light transmittance control.Meanwhile,the Cd S layer can be clearly revealed in decoding mode because of the high refractive index.Besides,the confinement protection of integrated TPU films prevents the trilayer quasi-amorphous heterostructure from damage.To establish the practical advantage,portable information carriers can be prepared for camouflage.Accordingly,the reliable encoding and decoding system,and ability to integrate with easy-to-carry products,make our composites a potentially high-security encryption device for anti-fraud technology.