Evaluation of Ambient Light Display for High Information Capacity

Ambient light display presents peripheral information unobtrusively,and it can be context aware and aesthetically enhance specific environment.However,since the abstract characteristic of light,people should attentively keep agood balance between unobtrusiveness and effectiveness,when designing an ambient light display.Especially,in the condition of high information capacity,ambient light display need a mechanism to portray information effectively.In this paper,a framework with an overlay mechanism is evaluated for high information capacity.Based on the framework,two ambient light displays are designed to support the evaluation work.The evaluation questions are related with three aspects including information understanding,transition and encoding,special output channel.From the perception level,interpretation level and experience level,the process of evaluation is implemented.The results indicate that the framework with the overlay mechanism can effectively support varied and specific communicating information.The transitions and information encoding benefit from the proper mapping of states and notification levels in the framework.

DESIGN OF SPARSE ARRAY FOR MAD IMAGING BASED ON MAXIMIZING INFORMATION CAPACITY

In past years,growing efforts have been made to the rapid interpretation of magnetic field data acquired by a sparse synthetic or real magnetic sensor array.An appealing requirement on such sparse array arranged within a specified survey region is that to make the number of sensor elements as small as possible,meanwhile without deteriorating imaging quality.For this end,we propose a novel methodology of arranging sensors in an optimal manner,exploring the concept of information capacity developed originally in the communication society.The proposed scheme reduces mathematically the design of a sparse sensor array into solving a combinatorial optimization problem,which can be resolved efficiently using widely adopted Simultaneous Perturbation and Statistical Algorithm(SPSA).Three sets of numerical examples of designing optimal sensor array are provided to demonstrate the performance of proposed methodology.

Temperature Effects on Information Capacity and Energy Efficiency of Hodgkin-Huxley Neuron

Recent experimental and theoretical studies show that energy efficiency, which measures the amount of infor- mation processed by a neuron with per unit of energy consumption, plays an important role in the evolution of neural systems. Here we calculate the information rates and energy efficieneies of the Hodgkin-Huxley （HH） neuron model at different temperatures in a noisy environment. It is found that both the information rate and energy efficiency are maximized by certain temperatures. Though the information rate and energy efficiency cannot be maximized simultaneously, the neuron holds a high information processing capacity at the tempera- ture corresponding to the maximal energy efficiency. Our results support the idea that the energy efficiency is a selective pressure that influences the evolution of nervous systems.

China’s Government Information Capacity,Medical Resource Allocation and COVID−19 Prevention and Control

The fight against the COVID−19 epidemic is a war against an“invisible enemy”.Access to accurate information and appropriate allocation of medical resources are key to containing the spread of the virus as soon as possible.The Chinese government has great power to collect information from individuals and basic-level organizations.It also has strong ability to pool and allocate medical resources.The fight against COVID−19 can be deemed as a quasi-natural experiment and based on this,we examine how government information capacity and medical resource allocation influence epidemic prevention and control in 286 Chinese cities(prefecture level and above).The fi ndings are as follows:(1)Government information capacities improve the effectiveness of prevention and control policies.At city level,for every 0.1 point of increase in government information capacity score,the number of confi rmed cases will reduce by 66.5,and the number of deaths per 10000 people will be down by 0.008.(2)The quantity of medical resources available has no direct influence on the effectiveness of epidemic prevention and control,but higher allocation efficiency does bring higher effectiveness.(3)The government can,on the one hand,allocate public resources based on information,and on the other hand guide the flow of social resources by releasing relevant information.Both can improve the allocation efficiency of medical resources.These fi ndings have some policy implications for improving global emergency management.

Capacity Analysis and Information Optimization of WSDM

Wireless statistic division multiplexing (WSDM) is a multiplexing scheme that transmits multiple signals simultaneously in the same frequency band over wireless channels. Based on the Shannon capacity of band-limited waveform AWGN channel with input power constraint, we obtain channel capacity of WSDM. Compared to time division multiplexing (TDM), frequency division multiplexing (FDM), and code division multiplexing (CDM), WSDM is more effective in raising spectrum efficiency. What’s more, we propose information optimization method to separate time-frequency mixed signals. Computer simulations also verify that the proposed method is feasible and performs better than traditional algorithms.

Three-Dimensional Scene Encryption Algorithm Based on Phase Iteration Algorithm of the Angular-Spectral Domain

In order to increase the capacity of encrypted information and reduce the loss of information transmission, a three-dimensional(3 D) scene encryption algorithm based on the phase iteration of the angular spectrum domain is proposed in this paper. The algorithm, which adopts the layer-oriented method, generates the computer generated hologram by encoding the three-dimensional scene. Then the computer generated hologram is encoded into three pure phase functions by adopting the phase iterative algorithm based on angular spectrum domain,and the encryption process is completed. The three-dimensional scene encryption can improve the capacity of the information,and the three-phase iterative algorithm can guarantee the security of the encryption information. The numerical simulation results show that the algorithm proposed in this paper realized the encryption and decryption of three-dimensional scenes. At the same time, it can ensure the safety of the encrypted information and increase the capacity of the encrypted information.

Coping with the Big Data:Convergence of Communications,Computing and Storage

To cope with the impact of big data,it is proposed to integrate the traditionally individual computing,communications and storage systems,which are getting inevitably converged.An effective information system capacity is introduced and discussed,aimed at excavating potentials of information system under a new paradigm with more degrees of freedom.