Non-cooperative Space Target Estimation Algorithm Without Prior Information Dependence Based on Temporal Line of Sight Constraint

Under single-satellite observation,the parameter estimation of the boost phase of high-precision space noncooperative targets requires prior information.To improve the accuracy without prior information,we propose a parameter estimation model of the boost phase based on trajectory plane parametric cutting.The use of the plane passing through the geo-center and the cutting sequence line of sight(LOS)generates the trajectory-cutting plane.With the coefficient of the trajectory cutting plane directly used as the parameter to be estimated,a motion parameter estimation model in space non-cooperative targets is established,and the Gauss-Newton iteration method is used to solve the flight parameters.The experimental results show that the estimation algorithm proposed in this paper weakly relies on prior information and has higher estimation accuracy,providing a practical new idea and method for the parameter estimation of space non-cooperative targets under single-satellite warning.

The Preliminary Design and Implement of Plant Digital Information Retrieval System

[Objective] The aim was to set up a plant digital information retrieval system.[Method] Plant digital information retrieval system was designed by combining with Microsoft Visual Basic 6.0 Enterprise Edition database management system and Structure Query Language.[Result] The system realized electronic management and retrieval of local plant information.The key words of retrieval included family,genus,formal name,Chinese name,Latin,morphological characteristics,habitat,collection people,collection places,and protect class and so on.[Conclusion] It provided reference for these problems of species identification and digital management of herbarium.

O-O Analysis of Vehicle Body Design and Establishment of Engineering Database

To establish the object-oriented (O-O) engineering for vehicle body design Methods characteristics of vehicle body design data were analyzed by means of theO-Omethod The analytical results were transformed intothe engineering databasethat canbeusedsufficiently to describe the relative information of vehicle body design data.Results TheO-Oengineeringdatabaseforvehiclebodydesignis realized and practiced in the process ofbody design for a QCJ7082 economical car. Conclusion The method is successful in trans- forming vehicle body design object into engineering database.The database supports each procedure of vehicle body design perfectly

OBJECT ORIENTED DATA MODELLING WITH APPLICATIONS TO CAD

An object oriented data modelling in computer aided design (CAD) databases is focused. Starting with the discussion of data modelling requirements for CAD applications, appropriate data modelling features are introduced herewith. A feasible approach to select the “best” data model for an application is to analyze the data which has to be stored in the database. A data model is appropriate for modelling a given task if the information of the application environment can be easily mapped to the data model. Thus, the involved data are analyzed and then object oriented data model appropriate for CAD applications are derived. Based on the reviewed object oriented techniques applied in CAD, object oriented data modelling in CAD is addressed in details. At last 3D geometrical data models and implementation of their data model using the object oriented method are presented.

Automatic relational database compression scheme design based on swarm evolution

Compression is an intuitive way to boost the performance of a database system. However, compared with other physical database design techniques, compression consumes large amount of CPU power. There is a trade-off between the re- duction of disk access and the overhead of CPU processing. Automatic design and adaptive administration of database systems are widely demanded, and the automatic selection of compression schema to compromise the trade-off is very important. In this paper, we present a model with novel techniques to integrate a rapidly convergent agent-based evolution framework, i.e. the SWAF (SWarm Algorithm Framework), into adaptive attribute compression for relational database. The model evolutionally consults statistics of CPU load and IO bandwidth to select compression schemas considering both aspects of the trade-off. We have im- plemented a prototype model on Oscar RDBMS with experiments highlighting the correctness and efficiency of our techniques.

GIS as an Information Infrastructure for Recovery and Reconstruction after the Great East Japan Earthquake

This study considers the regional characteristics of the Tohoku region and the extent of the damage caused by the Great East Japan Earthquake and makes proposals for recovery and reconstruction of the areas affected by this disaster as well as for a reduction of the impact of natural disasters that may occur in the future with GIS （geographic information systems） as a social infrastructure positioned at the heart of the information infrastructure. Due to the fact that social media that used ICT （information and communication technology） was useful in the days directly after the disaster, it can be said that it is necessary to investigate the provision of an information infrastructure that uses ICT to reduce the impact of disasters. Therefore, this study proposes the construction of a geographical information database using GIS and the provision and sharing of information using social media GIS after discussion of the relationship between the development of the computerization of Japan and GIS as a valid example of using information systems for recovery and reconstruction after the Great East Japan Earthquake.

Research on the Automatic Pattem Abstraction and Recognition Methodology for Large-scale Database System based on Natural Language Processing

In this research paper, we research on the automatic pattern abstraction and recognition method for large-scale database system based on natural language processing. In distributed database, through the network connection between nodes, data across different nodes and even regional distribution are well recognized. In order to reduce data redundancy and model design of the database will usually contain a lot of forms we combine the NLP theory to optimize the traditional method. The experimental analysis and simulation proves the correctness of our method.

Design of primary ground support during roadway development using empirical databases

There have been many design practices utilised within the coal mining industry to arrive at the minimum densities of primary ground support required during roadway development. This paper demonstrates the practical use of empirical databases, and focuses on the main drivers for ground support as demonstrated in conceptual models. （;older Associates＇ empirical databases used for ground support include a primary roof support database and a primary fib support database. Both are based on successful ground support designs installed in mines in Australia, the US, the LIK, South Africa, New Zealand, and Europe. The term ＂successful＂ refers to those designs that were used on a repeated basis for the purpose of roadway devel- opment. The primary roof support database indicates that the major factors influencing successful roof support designs are roof competency, expressed as the coal mine roof rating （CMRR）, and in situ stress. In regard to the primary rib support database, it is evident from the current database that the primary factors affecting the capacity of rib support required for a successful design are roadway height and depth of cover. These databases have been used to help determine the minimum primary ground support designs required at many mine sites in Australasia, Europe, and the US. This paper will demonstrate the effectiveness and practicality of these databases at two selected mines in Australia and the US. In order to improve the primary rib support database, this paper will also propose a new rib deformation rating based on the addition of site specific coal strength data for the Australian mines. The proposed rat- ing attempts to capture the main variables that define the behaviour of a buckling column.

Auditing the Use of DBMS Covert Storage Channels Relevant with Transactions

This paper proposes the concept of transaction-type covert storage channels, which are caused by database storage resources. It also proposes that the mode of auditing those channels be based on the transactions. Next, the paper analyzes and resolves the two problems arising from auditing the use of transaction-type covert storage channels in database systems: namely, the relationship between channel variables, which are altered (or viewed) by the transaction and satisfy integrity constraints in DBMS, and database states; and the circumvention of covert storage channel audit in DBMS.

Meta-analysis of combined therapy for adult hepatitis B virus-associated glomerulonephritis

AIM: To investigate the efficacy and safety of combined antiviral and immunosuppressant therapy in adult hepatitis B virus-associated glomerulonephritis (HBVGN) patients. METHODS: A computerized literature search was carried out in the PubMed database, Embase, the Cochrane Library, Chinese BioMedical Literature on disc, Chinese Medical Current Contents, Chinese National Knowledge Infrastructure, Wanfang and VIP (Chinese Technological Journal of Database) to collect articles between June 1980 and December 2010 on therapy with immunosuppressants, e.g., glucorticosteroids, mycophenolate mofetil and leflunomide, combined with antivirals, e.g., interferon, lamivudine, entecavir and adefovir dipivoxil, in adult HBV-GN patients. The primary outcomes were remission of proteinuria, clearanceof HBV e-antigen, and elevation of serum albumin. The secondary outcomes were blood levels of alanine aminotransferase, serum creatinine, and HBV-DNA titer. Meta-analysis was performed using Review Manager 5.1. Fixed or random effect models were employed to combine the results after a heterogeneity test. The effects of the combined therapy were analyzed for different doses of glucorticosteroid and different types of HBV-GN. RESULTS: Twelve clinical trials with 317 patients were included. A significantly higher incidence of HBV-GN was found in male patients (relative risk = 2.40, 95% CI: 1.98-2.93). Combined therapy reduced the proteinuria significantly with a mean difference of 4.19 (95% CI: 3.86-4.53) and increased the serum albumin concentration significantly with a mean difference of -11.95 (95% CI: -12.97-10.93) without significant alterations of liver function (mean difference: 4.62, 95% CI: -2.55-11.79) and renal function (mean difference: 10.29, 95% CI: 0.14-20.45). No signif icant activation of HBV-DNA replication occurred (mean difference: 0.12, 95% CI: -0.37-0.62). There was no significant difference between the high dose glucorticosteroid group and the low dose glucorticosteroid group in terms of proteinuria remission (P = 0.76) and between different pathological types of HBV-GN [membranous glomerulonephritis (MN) vs mesangial proliferative glomerulonephritis, P = 0.68; MN vs membranoproliferative glomerulonephritis, P = 0.27]. CONCLUSION: Combined antiviral and immunosuppressant therapy can improve the proteinuria in HBVGN patients without altering HBV replication or damaging liver and renal functions.

Toward Exhaustive Teaching of Relational Database Indexes

There are several indexing techniques that can optimize system performances. The choice of the right index type in a schema can improve the DB performances by up to 80%. Unfortunately the illustrations of the various techniques are scattered over a number of texts and manuals, and the courses for database designers are often somewhat incomplete. The present paper shows a didactical experience which tackles this kind of limitations. In particular, the authors have prepared a textbook that includes twenty-one different index formats; it discusses advantages and disadvantages of each indexing technique, and has been positively validated during advanced courses on relational database design.

Design of Coal Mine Integrated Automation System Based on NetLinx

A network structure of coalmine integrated automation system based on NetLinx was proposed. The features of three-layer-network structure were discussed in detail. The mechanism of time determination of the network was analyzed. A design example of the integrated automation system for a real coalmine was presented.

Global Research Trends Related to CO_2 Emissions and Their Enlightenment to China

Given the growing awareness of the likely catastrophic impacts of climate change and close association of climate change with global emissions of greenhouse gases （of which carbon dioxide is more prominent） , considerable research efforts have been devoted to the analysis of carbon dioxide （CO2） emissions and its relationship to sustainable development. Now GHG reduction programs have been coming into effect in many developed coun- tries that have more responsibility for historical CO2 emissions, and the studies have become mature. First, the GHG emissions accounting system is more all-inclusive and the methods are more rational with the effort of IPCC from 1995 and all other research- ers related. Second, the responsibility allocation is more rational and fair. Along with the clarity of ＂carbon transfer＂ and ＂carbon leakage＂, the perspective and methodology for allocating regional COz emissions responsibility is turning from production base to consumption base. Third, the decomposition method has become more mature and more complex. For example, the decomposition formulas are including KAYA expression and input-output expres- sion and the decomposition techniques are developed from index analysis to simple average divisia and then adaptive-weighting divisia. Fourth, projection models have become more integrated and long-term. The top-down model and bottom-up model are both inter-embedded and synergetic. Trends above give some advice for the research on CO2 in China, such as emissions factors database construction, deeper-going research on emissions responsibility and structure analysis, promotion of modeling technology and technology-environment database.

Organizational Data Management： Proposing a Metadata-Driven Data Warehouse （DW） Model

Discussing the matter of organizational data management implies, almost automatically, the concept of data warehousing as one of the most important parts of decision support system （DSS）, as it supports the integration of information management by aggregating all data formats and provisioning external systems with consistent data content and flows, together with the metadata concept, as one of the easiest ways of integration for software and database systems. Since organizational data management uses the metadata channel for creating a bi-directional flow, when correctly managed, metadata can save both time and resources for organizations. This paperI will focus on providing theoretical aspects of the two concepts, together with a short brief over a proposed model of design for an organizational management tool.

Machine Recognition of Plan Typologies： Shotgun and Foursquare

The evolution of expert and knowledge-based systems in architecture requires the gradual population of building specific databases. Often these databases are slow to evolve due to the time consuming nature of effectively categorizing building features in a meaningful way that allows for retrieval and reuse. New advances in artificial intelligence such as Hierarchical Temporal Memory （HTM） have the potential to make the construction of these databases more realistic in the near future. Based on an emerging theory of human neurological function, HTMs excel at ambiguous pattern recognition. This paper includes a first experiment using HTMs for learning and recognizing patterns in the form of two distinct American house plan typologies, and further tests the relationship of HTM＇s recognition tendencies in alternate house plan types. Results from the experiment indicate that HTMs develop a similar storage of quality to humans and are therefore a promising option for capturing multi-modal information in future design automation efforts.

Design and implementation of coal mine safety management system based on Ajax and RFID

This paper describes the design and implementation of a coal mine safety management information system based on Ajax. The whole system includes two alarm processing subsystem and management subsystem. Alarm processing subsystem in the server, used to analyzed monitoring data of underground mine, judged whether it is in an abnormal state, also including the crews time recorded by RFID, so that timely alarm data is written to the database for the use of management infonlaation system; management information system adopts the three layer system structure based on B/S, the client the use of ax technology for an asynchronous request to the server, the server operation backstagc Oracle database to complete the business logic processing, and the results in XML form and return it to the client, the subsystem to the user to provide an interactive platform, users can monitor the underground state in real time, at the same time when the abnormal status, the system can timely alarm, prevent the occurrence of coal mine accidents.

Refreshing File Aggregate of Distributed Data Warehouse in Sets of Electric Apparatus

Integrating heterogeneous data sources is a precondition to share data for enterprises. Highly-efficient data updating can both save system expenses, and offer real-time data. It is one of the hot issues to modify data rapidly in the pre-processing area of the data warehouse. An extract transform loading design is proposed based on a new data algorithm called Diff-Match,which is developed by utilizing mode matching and data-filtering technology. It can accelerate data renewal, filter the heterogeneous data, and seek out different sets of data. Its efficiency has been proved by its successful application in an enterprise of electric apparatus groups.

Radiotherapy combined with surgical treatment for gastric cancer:a meta-analysis

Objective:We carried out a meta-analysis to assess the effectiveness and safety of radiotherapy combined with surgery for gastric cancer.Methods:Randomized Clinical Trials (RCTs) in which radiotherapy (preoperative,intraoperative and postoperative),was compared with surgery alone in resectable gastric cancer were identified by searching Cochrane Library (Issue 2,2009),PubMed (Jan 1966-Jun 2009),EMBASE (Jan 1974-Jun 2009),Chinese Biomedical Literature Database (Jan 1978-Jun 2009),Chinese Science and Technology Periodicals Database (Jan 1989-Jun 2009),China National Knowledge Infrastructure (Jan 1994-Jun 2009) and Wanfang database (Jan 1997-Jun 2009) in English and Chinese languang.Two researchers assessed the quality of included randomized controlled trials (RCT) extracted data independently.The RevMan 5.0 software was used for meta-analysis.Our researchers assessed the quality of included randomized controlled trials (RCT) extracted data independently.The RevMan 5.0 software was used for meta-analysis.Results:Nine randomized controlled trials of 1 548 patients were selected for meta-analysis.Five randomized controlled trials were related with comparison of preoperative radiotherapy plus surgery with single surgery.Two randomized controlled trials were the comparative studies between surgery plus postoperative and single surgery.The meta-analysis results showed that:(1) compared with surgery alone,preoperative radiotherapy combined with surgery can increase 3 years (OR=1.78;95% CI 1.14-2.78,P=0.01),5 years (OR=1.67;95% CI 1.22-2.29,P=0.001),10 years (OR=1.64;95% CI 1.03-2.60,P=0.04) survival rate and resection rate (OR=2.15;95% CI 1.31-3.54,P=0.003);reduce the of tumor recurrence rate (OR=0.59;95% CI 0.37-0.92,P=0.02) and metastasis rate (OR=0.44;95% CI 0.27-0.73,P=0.001);(2) The tumor recurrent rates (OR=0.19,95% CI 0.03-1.14,P=0.07) and tumor metastasis rate (OR=0.09;95% CI 0.00-1.77,P=0.11) had no difference between single surgery group and peri-operative radiotherapy plus surgery group;(3) Postoperative radiotherapy compared with surgery alone had no significant effects on 1 year (OR=0.83;95% CI 0.60-1.15,P=0.26) and 3 years (OR=0.75;95% CI 0.51-1.11,P=0.15) survival rate compared with single surgery,but the 5-year survival rates (OR=0.57;95% CI 0.34-0.95,P=0.03) of the patients who received surgery alone was higher than those who received combined therapy.No difference of the tumor recurrence rate (OR=0.59;95% CI 0.33-1.05,P=0.07),tumor metestasis rate (OR=0.90;95% CI 0.51-1.59,P=0.71) and anastomotic leak (OR=0.98;95% CI 0.25-3.65,P=0.98) were observed between the two groups.Conclusion:Preoperative radiotherapy combined surgery is more rational and effective than surgery alone of gastric cancer.However,in terms of the clinical effects of perioperarive or postoperative radoiotherapy combined with surgery,much multicenter,largescale,high-quality,double-blind and rigorously designed studies would be needed than currently available in the future.

Multi-Level Cryptographic Functions for the Functionalities of Open Database System

The purpose of this paper is to design and implement a secure open database system for organizations that are increasingly opened up their information for easy access by different users. The work proposed some functionalities such as open password entry with active boxes, combined encryption methods and agent that can be incorporated into an open database system. It designed and implemented an algorithm that would not allow users to have free access into open database system. A user entering his password only needs to carefully study the sequence of codes and active boxes that describe his password and then enter these codes in place of his active boxes. The approach does not require the input code to be hidden from anyone or converted to place holder characters for security reasons. Integrating this scheme into an open database system is viable in practice in term of easy use and will improve security level of information.

Design and study of computer aided English learning system

Use the Internet for online learning has become one of the directions of the development of education, the traditional classroom learning, the breakthrough time and geographical constraints, more convenient interaction between teachers and students, learning resources are more abundant, more diverse learning styles, has broad application prospects. System uses B / S mode, the application of Java language, together with the MySQL database, high security and good performance.