With the aim of enabling high-speed query processing for big data, IIS and Hitachi have been conducting joint research and development of the ultrafast databaseengine technology based on "out-of-order execution principle," through the Development of the Fastest DatabaseEngine for the Era of Very Large Database and Experiment and Evaluation of Strategic Social Services Enabled by the DatabaseEngine project. This project is led by a principal investigator, Masaru Kitsuregawa, Professor at IIS and Director-General of the National Institute of Informatics, and supported by the Japanese Cabinet Office's Funding Program for World-Leading Innovative R&D on Science and Technology during a period from March 2010 through March 2014.
The Replication Event Handler (REH) plugs directly into the Pervasive PSQL databaseengine. Specifically, the REH is a set of DLLs that operate within the databaseengine, so if the database is running, the replication event handler is running as well. The databaseengine activates the REH when there is a change event (insert, update, delete). The REH then makes note of the event in one of its private control tables.
Microsoft Access is a computer application used to create and manage computer- based databases on desktop computers and/or on connected computers (a network). Microsoft Access can be used for personal information management (PIM), in a small business to organize and manage data, or in an enterprise to communicate with servers. Microsoft Access, is a relational database management system from Microsoft that combines the relational Microsoft Jet DatabaseEngine with a graphical user interface and software development tools.
In R2, the Standard edition now allows installation as a managed instance for application and multiserver management capabilities . As discussed in Chapter 7, “Configuring SQL Server with SQL Server Management Studio,” this allows a Stan- dard edition instance of the DatabaseEngine to be registered with and managed by a Utility Control Point (UCP) and to be configured as a data-tier application (DAC) . UCPs work in conjunction with the new SQL Server Utility and the new Utility Explorer . Although the Standard edition is a strong database server solution, large organizations should consider the Enterprise edition . The Enterprise edition adds the following features:
The default databaseengine underlying Microsoft Access is known as the Jet Engine. Using the appropriate Jet database, which corresponds to your version of the Access Jet Engine helps to maintain the stability of your databases. Each version of the Jet Engine uses a different method of writing to databases. Jet Engines are not backwards compatible so that older Jet Engines can- not perform read and write operations on newer Jet database file formats. When Jet begins a write operation, it sets a flag and then resets the flag when the operation is complete. If a write operation is interrupted, the flag remains set. The particular Jet database to be used with your version of Microsoft Access is as follows:
The embedded databaseengine SQLite was pre- ferred over a full-fledged RDBMS such as MySQL or PostgreSQL for several reasons: (i) running the database as a user-level process gives better con- trol over huge database files and expensive indexing operations, which might otherwise clog up a ded- icated MySQL server computer; (ii) each SQLite database is stored in a single, platform-independent file, so it can easily be copied to other locations or servers; (iii) an embedded database avoids the over- head of exchanging large amounts of data between client and server; (iv) tight integration with the ap- plication program allows more flexible use of the database than pure SQL queries (e.g., a Perl script can define its own SQL functions, cf. Section 3).
The continuous monitoring of weather-related damages is considered of great importance by both the scientific and end-user communities worldwide, as well as at European and national level. Collection of data and information con- cerning the impact of weather events at local or cross-border level are very useful in both disaster risk management and long-term statistical study of weather-related disasters. In 2006, the European Severe Storms Laboratory (ESSL) ad- dressed the need for a homogeneous data format for re- porting disastrous weather events, aiming at producing ba- sic and statistical climatology and hazard assessment in Eu- ropean level. The ESSL recently proceeded to developing the first pan-European database of severe thunderstorm re- ports (Dotzek et al., 2009), available “on-line” to the pub- lic and designed to cover all local severe storms with a high level of meteorological detail. Large flood events are also the subject of the Dartmouth Flood Observatory of the Uni- versity of Colorado, which created a global active archive filled with information derived from news, governmental, in- strumental and remote-sensing sources. The database pro- vides geographical data, the duration of the event, the exact cause of the flood and an estimated severity index based on the recurrence interval (http://floodobservatory.colorado.edu/ Archives/index.html). One of the most important and open to the public databases, with wide geographical coverage, is the EM-DAT database (http://www.emdat.be), which is operated by the Centre for Research on the Epidemiology of Disas- ters (CRED) at Leuven University (l’Universit´e catholique de Louvain) in Belgium and focuses on very large events with significant losses (more than 10 fatalities and over 100 peo- ple affected), thus, excluding events with smaller losses, the overall cost of which can be also significant. Similar is the NatCatService database (MunichRe, 2012), which, though, applies lower criteria for the entry of an event and pro- vides economic damage costs and mortality rates (Kron et al., 2012). The NatCatService is accessible to the public, but information about small events is not available.
methods have been proposed to restore more and better scientific documents according to the needs and requests of users. Since there is no complete information for some documents, users have to access the metadata including the name of authors and their affiliation, the publication date, and references used for the document by accessing to the documents. Therefore, extraction of information based on the structural and geometrical characteristics of the document can be very helpful in retrieving relevant and required documents. In this paper, after extracting metadata using geometrical features of documents and graph-based model, the relationships between different entities such as documents, authors, journals, and conferences are modeled for more efficient information retrieval. The extracted and refined data, stored in the graph model, are available in a web-based user interface. To produce the results of each query, the related documents are retrieved based on the graph’s relationships, the quality of each document, and their citation score. To evaluate the proposed method, the PubMed and D2SPR databases are used. The results from the experiments show that the number of retrieved documents in the proposed method is 60% higher than the PubMed database search engine and 80% higher than D2SPR. Moreover, nDCG with an average of 0.824 in the proposed approach has a significant distance with the average of 0.30 in Pubmed search engine. While the average of F-measure on D2SPR dataset is 0.834 for the suggested system, the value is 0.71 in the current study.
The overall approach described in this paper involves development and use of computerized simulation model for different biodiesel fuels. The software was developed in visual basic environment containing windows, a graphical user interface (GUI), which makes the software easy to use and understand. The software was developed in such a manner that novice user (without prior knowledge of software) can also run with the help of getting information from the help menu. The help menu guides the user in the proper execution, description of the software and its content available in the help menu. Software consists of several windows serving specific purposes such as databases for production related information, chemical properties, trans-esterification process, fuel, blend properties, engine performance parameters and so on. User can add, update or remove data from databases. The software has provision to export and save desired information in spreadsheet and text formats. The overall graphical representation of the developed program is shown in Figure 1.
A distributed database is the third option available and this has significant advantages over the other two approaches. One of the major advantages, which is one of the objectives of distributed systems, is that a distributed database system is extensible. A distributed database system is one where most updates and queries are accomplished locally, but anyone in the organisation can access the information stored in any of the distributed databases if they have authority to retrieve and integrate the data. Control over the data is retained locally. One of the major strategies of designing and controlling distributed databases, is to replicate data. This form of database uses an approach that is better suited to the layout of a company, given that most large organisations have different departments, offices, or can be in different regions. Backup and recovery plans are substantially more important when designing a distributed database system. A well-designed distributed database should give the users of the system location transparency.
Whether we help your prospects find you through Search Engine Optimization (SEO) or we find them from list vendors, affinity groups or research projects, your success will be determined by how well you mine the data in your database. Sales Engine International will help build your database then segment it by market segment, micro-segment, buying persona and digital behavior so demand generation can be targeted and aligned to your prospects buying journey.
Secure and efficient decision making processes are of particular importance especially for small and medium-sized enterprises. In this context, delocalization of responsible decision makers often leads to decision making processes relying on circular resolutions. Although circular resolutions based on written consent are usually efficiently manageable for a limited number of decision makers, involving a potential large number of persons inevitably complicates these processes in practice. In this paper, a circular resolution database system that addresses this problem is introduced.
The operation of the IEMS system is shown in Fig.1. This approach ensures that the optimized load sharing level decided by the IEMS could be updated to a new value in the event of an interruption in the form of traffic conditions. This ensures that for the current node where the vehicle is operating the load sharing is dynamically updated thereby ensuring the objectives of minimization of fuel cost and emission levels are maintained. With increase in altitude there occurs variation in atmospheric pressure which causes reduction of air density. This would affect the Air/fuel ratio of the engine. Consequently, there is an enrichment effect to the combustion mixture with an increase in altitude. If an engine tuned at sea level is operated at high altitude, there will be a reduction in power and fuel economy. Moreover, severe Carbon Monoxide and Hydro Carbons exhaust emissions are expected. Various tests conducted on a vehicle equipped with a sea-level carburettor would experience some 6 percent enrichment in air/fuel ratio upon driving from sea level to an altitude of 1200 m. The enrichment in air/fuel mixture at altitudes substantially increased the bsfc of the engine. The sample case study has been done for a journey of 5 km between Kengeri and Varahasandra, Bangalore, India, as shown in Fig.3. The elevation profile has been obtained from the Google Earth map and is used to create and test the database. The entire distance profile and the corresponding elevation profile for the distance of 5 km is divided into 100 nodes. Therefore, the load sharing for each of the node is predetermined by the IEMS to facilitate dynamic operation of the vehicle.
Case two, the relation between a primary and a lookup table: in this case the primary key of the lookup table should be used as an attribute in the primary table that can be nullable. Figure 6.1.3 shows the relations ship between Invoices as a primary table and Customers as a lookup table. The Invoice must be issued to a Customer whether the customer has an account in the store database or not, but it can exclude the customer name if the payment is in cash. Some stores may restrict their services to be provided only for their customers. As a result, the attribute Customer Id should be an attribute in the Invoices table with a not null option. The main issue, in this case, is the fact that inserting a new Invoice requires that the customer id to exist in the customers table. Finally, the relationship is again one-to-many, which means that a customer can have more than one invoice.
• Administration and management system We give a few specific examples of web applications and database examples in this booklet, but try to define the requirements of your website first, then look to existing web applications to meet the needs. In some instances it is necessary to get a company to customise a web application for your specific needs, or even build a new one.
In this project, it is expected that as soon as a face is sensed by the IR sensor the face recognition algorithm will start working and it will detect and recognize the person’s face saved in the database. If face does not get recognized, then the system will send a request to the owner through a Local application using MQTT protocol demanding a pass code to start the relay.