Implementation of a Comprehensive Information Management Platform for Public Security Based on Java Technology

Due to the rapid development of electronic information technology,the development of Internet technology and system software development technology has become more and more common.Especially,along with the development of public security,there are more and more provisions for standard administrative department management system,improving office efficiency and enhancing decision encouragement.Therefore,it is of great practical value to design and complete a comprehensive public security business information system.Based on java technology,this paper designs and builds a comprehensive information management platform for public security through the analysis of comprehensive public security business,and also gets good feedback during the actual test,which confirms the feasibility of the system.

Acquisition of Network Connection Status Information from Physical Memory on Windows Vista Operating System

A method to extract information of network connection status information from physical memory on Windows Vista operating system is proposed. Using this method, a forensic examiner can extract accurately the information of current TCP/ IP network connection information, including IDs of processes which established connections, establishing time, local address, local port, remote address, remote port, etc., from a physical memory on Windows Xflsta operating system. This method is reliable and efficient. It is verified on Windows Vista, Windows Vista SP1, Windows Vista SP2.

Device-Free Through-the-Wall Activity Recognition Using Bi-Directional Long Short-Term Memory and WiFi Channel State Information

Activity recognition plays a key role in health management and security.Traditional approaches are based on vision or wearables,which only work under the line of sight(LOS)or require the targets to carry dedicated devices.As human bodies and their movements have influences on WiFi propagation,this paper proposes the recognition of human activities by analyzing the channel state information(CSI)from the WiFi physical layer.The method requires only the commodity:WiFi transmitters and receivers that can operate through a wall,under LOS and non-line of sight(NLOS),while the targets are not required to carry dedicated devices.After collecting CSI,the discrete wavelet transform is applied to reduce the noise,followed by outlier detection based on the local outlier factor to extract the activity segment.Activity recognition is fulfilled by using the bi-directional long short-term memory that takes the sequential features into consideration.Experiments in through-the-wall environments achieve recognition accuracy>95%for six common activities,such as standing up,squatting down,walking,running,jumping,and falling,outperforming existing work in this field.

Information Comprehension Based on the New Knowledge Acquired by Cognitive Subject as the Fourth Dimension Set

On the basis of studying general comprehension model of information, this paper puts forward the Four Dimensions Set Information Comprehension Model （FDSICM） based on regarding the new knowledge acquired by cognitive subject as the fourth dimension set. Making use of the Four Dimension Set Information Comprehension Model （FDSICM）, this paper analyzes the information attributes and expatiates from three levels the comprehension of the information meaning.

Agriculture Information Retrieval System Based on Comprehensive Information Theory

Through analyzing syntactic,semantic,pragmatic information,the retrieval system ACIS based on comprehensive information was established,which could achieve personalized information exaction to guide user s information retrieval.

Solution to the Mind-Body Relation Problem: Information

In this paper it is analyzed from the informational perspective the relation between mind and body, an ancientphilosophic issue defined as a problem, which still did not receive up to date an adequate solution. Byintroducing/using the concept of information, it is shown that this concept includes two facets, one of themreferring to the common communications and another one referring to a hidden/structuring matter-relatedinformation, effectively acting in the human body and in the living systems, which determines the dynamicinter-change of information between specific structures of the organism by electric/electronic/chemical agents andgenetic/epigenetic processes. It is shown that the maintenance of body, permanently and obligatory depending onthe external matter (foods, air, water) resources, needed to provide both the structuring/restructuring basic materialand energy, determines the necessary existence of an info-managing system, administrating the internalmechano-chemical/physical processes. As a natural consequence, such a system should organize and assure ownsurvival by an effective informational operability to detect the external food resources, to select the appropriateinterest information and to decide as a function of circumstances. One important component in such aninformational system is memory, allowing to dispose of the reference informational data for analysis/comparisonand the selection between good and bad binary possible decisions. The memory receives and stores thereforesignals from external reality and from the body itself, referring to the emotional reaction, digestion status, creation,and inherited predilections, within specific info-neural communication circuits between the brain and bodyexecution/sensitive organs, the human body appearing as an integrated info-matter self-managed dynamic system.The specific body components memorize information with different degrees of info-integration: short/long-termintegration, emotive/action reaction, info-abilities, culminating with the integration in the chromosomal structuresby epigenetic processes. The new acquired information is transgenerationally transmissible, and is manifested asnew traits, showing the adaptation capability of the human and close relation between mind and body. Analyzingthe results of such a mind-body informational model in comparison with the earlier assumed/proposed/assertedarchaic, Greek and Occidental philosophies, which represent only partial aspects of this relation, it is shown thatthis informational model, elaborated in terms of information on the basis of scientific reasons and arguments,constitutes a general, realist, and coherent model of the mind-body relation, able to integrate and/or explain most ofthe others.

APPLICATION OF MAP AND FILE INFORMATIONVISUALIZATION SYSTEM TO COMPREHENSIVEDIVISION OF NATURAL DISASTERS- Takingthe ChangjiangValleg as an Example

ABSTRACT: This paper generalizes the makeup and forming dynamic mechanism of natural disaster systems, principles and methods of comprehensive division of natural disasters, as well as structure, function and up-build routes of map and file information visualization system (MFIVS). Taking the Changjiang(Yangtze) Valley as an example, on the basis of revealing up the integrated mechanism on the formations of its natural disasters and its distributing law, thereafter, the paper relies on the MFIVS technique, adopts two top-down and bottom-up approaches to study a comprehensive division of natural disasters. It is relatively objective and precise that the required division results include three natural disaster sections and nine natural disaster sub-sections, which can not only provide a scientific basis for utilizing natural resources and controlling natural disaster and environmental degradation, but also be illuminated to a concise, practical and effective technique on comprehensive division.

Evaluation Model for Capability of Enterprise Agent Coalition Based on Information Fusion and Attribute Reduction

For the issue of evaluation of capability of enterprise agent coalition,an evaluation model based on information fusion and entropy weighting method is presented. The attribute reduction method is utilized to reduce indicators of the capability according to the theory of rough set. The new indicator system can be determined. Attribute reduction can also reduce the workload and remove the redundant information,when there are too many indicators or the indicators have strong correlation. The research complexity can be reduced and the efficiency can be improved. Entropy weighting method is used to determine the weights of the remaining indicators,and the importance of indicators is analyzed. The information fusion model based on nearest neighbor method is developed and utilized to evaluate the capability of multiple agent coalitions,compared to cloud evaluation model and D-S evidence method. Simulation results are reasonable and with obvious distinction. Thus they verify the effectiveness and feasibility of the model. The information fusion model can provide more scientific,rational decision support for choosing the best agent coalition,and provide innovative steps for the evaluation process of capability of agent coalitions.

Information fusion of train speed and distance measurements based on fuzzy adaptive Kalman filter algorithm

The measurement accuracy of speed and distance in high speed train directly affects the control precision and driving efficiency of train control system. To improve the capability of train self control, a combined speed measurement and positioning method based on speed sensor and radar which is assisted by global positioning system（GPS） is proposed to improve the accuracy of measurement and reduce the dependence on the ground equipment. In consideration of the fact that the filtering precision of Kalman filter will decrease when the statistical characteristics are changing, this paper uses fuzzy comprehensive evaluation method to evaluate the sub filter, and information distribution coefficients are dynamically adjusted according to filtering reliability, which can improve the fusion accuracy and fault tolerance of the system. The sub filter is required to carry on the covariance shaping adaptive filtering when it is in the suboptimal state. The adjustment factor of error covariance is obtained according to the minimized cost function, which can improve the matching degree between the measured residual variance and the system recursive residual. The simulation results show that the improved filter algorithm can track the changes of the system effectively, enhance the filtering accuracy significantly, and improve the measurement accuracies of train speed and distance.

On Normalization of Comprehensive Evaluation System with Complex Uncertain Information

This paper systematically proposes basic requirements on normalization of comprehensive evaluation system with complex uncertain information due to human participation. Four basic academic ideas are as follows: 1) It is necessary to normalize conditions of information acquisition. 2) The effectiveness of comprehensive evaluation depends on the correctness of information acquisition. 3) Any evaluation results can be transformed into linguistic satisfactory degrees. 4) Linguistic values can include a great deal of information. This paper mainly deals with how to select objects to be evaluated, evaluators (panelists) and the methods of information processing, how to construct criteria of evaluation, how to normalize terms of evaluation, the results of evaluation, and the procedure of evaluation.

China Telecom Forging An Empire of Comprehensive Information Services

The transformation of China Telecom starts from late 2004. General Manager Wang Xiaochu put forward the strategy of transforming into a comprehensive information services provider soon after he took the post and defined transformation as the core mission in the next several years in 2005.

Suitability Evaluation on the Information Service System of "Agricultural Science and Technology 110" in Sichuan Province, China

Method of fuzzy comprehensive evaluation is used to carry out suitability evaluation on the information service system of "Agricultural Science and Technology 110" in Sichuan Province, China. Analytic hierarchy process (AHP) and expert consultation method are used to determine the evaluation index system and index weight. Suitability effect of the information service system of "Agricultural Science and Technology 110" is taken as the target layer. The five indices at criterion layer are the organizational mode of agricultural information service, the support system of agricultural information resources, the agricultural information transfer system, the capital source of agricultural information service, and the support system of agricultural information service. And the index layer includes the talent team of agent service, the interaction between the subject and object, the accuracy of agricultural information, the convenience of agricultural information transfer, the adequacy of fund, the efficiency in the use of fund, the status of information infrastructure and so on. Evaluation result shows that the information service system of "Agricultural Science and Technology 110" in Sichuan Province is suitable for the rural economic development at present. The major factors restricting the information service system are the lack of continuity, the weak infrastructure of agricultural information infrastructure, and the relatively low education level of agricultural producers. Therefore, we should further explore and improve the operation mechanism of agricultural information service, expand the capital source of agricultural information service, strengthen the construction of agricultural infrastructure, and ensure the continuous operation of information service system.

Regulation role of miR-204 on SIRT1/VEGF in metabolic memory induced by high glucose in human retinal pigment epithelial cells

AIM:To examine the regulatory role of microRNA-204(miR-204)on silent information regulator 1(SIRT1)and vascular endothelial growth factor(VEGF)under highglucose-induced metabolic memory in human retinal pigment epithelial(hRPE)cells.METHODS:Cells were cultured with either normal(5 mmol/L)or high D-glucose(25 mmol/L)concentrations for 8d to establish control and high-glucose groups,respectively.To induce metabolic memory,cells were cultured with 25 mmol/L D-glucose for 4d followed by culture with 5 mmol/L D-glucose for 4d.In addition,exposed in 25 mmol/L D-glucose for 4d and then transfected with 100 nmol/L miR-204 control,miR-204 inhibitor or miR-204 mimic in 5 mmol/L D-glucose for 4d.Quantitative reverse transcription-polymerase chain reaction(RT-qPCR)was used to detect miR-204 mRNA levels.SIRT1 and VEGF protein levels were assessed by immunohistochemical and Western blot.Flow cytometry was used to investigate apoptosis rate.RESULTS:It was found that high glucose promoted miR-204 and VEGF expression,and inhibited SIRT1 activity,even after the return to normal glucose culture conditions.Upregulation of miR-204 promoted apoptosis inhibiting SIRT1 and increasing VEGF expression.However,downregulation of miR-204 produced the opposite effects.CONCLUSION:The study identifies that miR-204 is the upstream target of SIRT1and VEGF,and that miR-204 can protect hRPE cells from the damage caused by metabolic memory through increasing SIRT1 and inhibiting VEGF expression.

Text Difficulty,Working Memory Capacity and Mind Wandering During Chinese EFL Learners’Reading

This experimental study investigated how text difficulty and different working memory capacity(WMC)affected Chinese EFL learners’reading comprehension and their tendency to engage in task-unrelated thoughts,that is,mind wandering(MW),in the course of reading.Sixty first-year university non-English majors participated in the study.A two-factor mixed experimental design of 2(text difficulty:difficult and simple)×2(WMC:high/large and low/small)was employed.Results revealed that 1)the main and interaction effects of WMC and text difficulty on voluntary MW were significant,whereas those on involuntary MW were not;2)while reading the easy texts,the involuntary MW of high-WMC individuals was less frequent than that of low-WMC ones,whereas while reading the difficult ones,the direct relationship between WMC and involuntary MW was not found;and that 3)high-WMC individuals had a lower overall rate of MW and better reading performance than low-WMC individuals did,but with increasing text difficulty,their rates of overall MW and voluntary MW were getting higher and higher,and the reading performance was getting lower and lower.These results lend support to WM theory and have pedagogical implications for the instruction of L2 reading.

An objective-oriented approach to program comprehension using multiple information sources

Program comprehension is a key activity throughout software maintenance and reuse. The knowledge acquired through comprehending programs can guide engineers to perform various kinds of software maintenance and reuse tasks. The effective comprehension strategy and the associated efficient approach, as well as the sophisticated tool support, are the indispensable elements for an entire solution to program comprehension to reduce the high costs of this nontrivial activity. This paper presents an objective-oriented comprehension strategy, contrasting to the traditional comprehensive understanding strategy in the literature. It is a kind of on-demand understanding for specific tasks and more effective in practice. In addition, using multiple information sources to understand programs is proposed with the corresponding framework. From these two points of views, we propose a feature-oriented program comprehension approach using requirement documentation. This approach aims at a specific category of feature-related software maintenance and reuse tasks. Case studies are conducted to evaluate the proposed solution. Results from the studied cases show that the experimental prototype provides more explicit advices for software engineers when performing these tasks.

Short-term Memory and Listening Comprehension

More and more attention is paid to listening comprehension and learner factors nowadays, but less attention is paid to the effect of short-term memory. By analyzing the function and effect of short-term memory in the process of information in the mind, this essay points out that short-term memory plays a vital role in listening comprehension, and puts forward three most effective ways to improve short-term memory retention.

Maximum information bits stored in reusable memory

Heegard, Ahlswede and Simonyi proposed the general mathematical model ofreusable memory with random noise and error. A probabilistic channel is introduced todescribe the state transmission mechanism of storage element in the reusable memory. Thecoding and capacity problems are studied by using methods in multiuser information theo-

Uncertainty relations based on skew information with quantum memory

Uncertainty principle is one of the most fascinating features of the quantum world. It asserts a fundamental limit on the precision with which certain pairs of physical properties of a particle, such as position and momentum, can not be si- multaneously known. The uncertainty principle has attracted considerable attention since the innovation of quantum me- chanics and has been investigated in terms of various types of uncertainty inequalities： in terms of the noise and dis- turbance, according to successive measurements, as informa- tional recourses in entropic terms, by means of majorization technique and based on sum of variances and standard devia- tions.

AN INFORMATIC APPROACH TO A LONG MEMORY STATIONARY PROCESS

Long memory is an important phenomenon that arises sometimes in the analysis of time series or spatial data.Most of the definitions concerning the long memory of a stationary process are based on the second-order properties of the process.The mutual information between the past and future I_(p−f) of a stationary process represents the information stored in the history of the process which can be used to predict the future.We suggest that a stationary process can be referred to as long memory if its I_(p−f) is infinite.For a stationary process with finite block entropy,I_(p−f) is equal to the excess entropy,which is the summation of redundancies that relate the convergence rate of the conditional(differential)entropy to the entropy rate.Since the definitions of the I_(p−f) and the excess entropy of a stationary process require a very weak moment condition on the distribution of the process,it can be applied to processes whose distributions are without a bounded second moment.A significant property of I_(p−f) is that it is invariant under one-to-one transformation;this enables us to know the I_(p−f) of a stationary process from other processes.For a stationary Gaussian process,the long memory in the sense of mutual information is more strict than that in the sense of covariance.We demonstrate that the I_(p−f) of fractional Gaussian noise is infinite if and only if the Hurst parameter is H∈(1/2,1).

Construction of Software Design and Programming Practice Course in Information and Communication Engineering

Innovation and entrepreneurship education is becoming one of the important goals of higher education in China.According to the requirements of the Ministry of Education to deepen the reform of innovation and entrepreneur-ship education in colleges and universities,we propose a core principle of“from basis to comprehensiveness,and then to innovation”to construct the software design and programming practice course in the information and communication engineering discipline.We have integrated specialized knowledge teaching with innovation and entrepreneurship training,implemented a series of experimental projects that integrate theory with practice,and explored mixed teaching methods and diversified examination methods.In this paper,details about software design and programming practice course construction are shown from aspects of teaching content,teaching methods,and examination methods.These course construction experiences will benefit teachers who engage in innovative practical courses in the information and communication engineering discipline.