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Logical data type

Logical—Data type w ith only two possible values True (represented as 1) and False (represented as 0), also referred to as Boolean. [Pg.110]

In a Moore finite state machine, the output of the circuit is dependent only on the state of the machine and not on its inputs. This is described i pictorially in Figure 3-5. Since the outputs are dependent only on the j state, a good way to describe a Moore machine is to use an always state- j ment with a case statement. The case statement is used to switch between j the various states and the output logic for each state is described in the appropriate branch. The always statement can have the clock event in its] event list to indicate that it is a clocked always statement. This models the] condition of a finite state machine going from state to state synchronously j on every clock edge. The machine state itself is modeled using a reg vari-] able (a variable of reg data type). [Pg.114]

You can use other data types as Boolean variables. When a variable is used in a logical expression, zero is converted to False while any non-zero value is converted to True. Thus the expression... [Pg.264]

Classes can be further characterized by means of attributes. Additionally, binary relations can be introduced between classes. In OWL, attributes and binary relations are represented through the same language primitives, the so-called properties, their ranges are different, though (data types and individuals, respectively). Properties can be hierarchically ordered, and their usage can be restricted through cardinality constraints and type constraints. Moreover, two properties can be declared to be equivalent or the inverse of each other. Finally, additional logical information can be indicated about binary relations, namely the transitivity and the symmetry of a relation. [Pg.90]

In contrast, federated architectures tend to be more flexible and are more generally applicable. Typically they either leave data in its native format or require that data be put in a format common to all the datasets. They do not rely on any domain-specific abstractions but instead model the generic features of data and employ some kind of query-based logic for their API abstractions. These solutions tend to be much more extensible and require configuration rather than a programmatic effort when bringing new data types into the system. These federated architectures can be either local or distributed. [Pg.391]

VBA recognizes three different data types textual, numerical, and logical. There are two types of numbers general numbers and integers, and both can be represented in single or double precision. Note that the spreadsheet always uses double precision, but that VBA needs to be told specifically to do so, otherwise the macro computes in single precision instead. [Pg.469]

Just as we have physical data and logical data processing in a DBMS, so also do we have two types of processing efforts in a MBMS model processing and decision processing (Applegate et al. [Pg.125]

For each type of models, such as fault tree, two schemas are defined one for GUI layout information associated with viewers and editors, and one for the logical data. The separation allows user to switch to a different editor if needed. [Pg.1432]

The code in Example 10.2 can be read into DC and synthesized without any errors, though the < operation will be built using random logic. This is because, for scalar data types, the predefined relational operators are implicitly defined. [Pg.266]

Historically, mathematics has been the main, if not the only, science of representation , so it is not surprising that the lack of appreciation of the role of object representation has been inherited from mathematics, where the centuries-old tradition has been to represent objects as unstructured points . In this sense, the underestimation of the role of object representation in a computational model is also not surprising. But while the mainstream mathematics—Shaving been isolated from the problems arising in computer science—had no apparent impetus to proceed with the necessary radical developments, computer science has no such excuse. The concepts of data structure and abstract data type have been screaming for such fundamental developments. As was mentioned in Introduction, I believe the reasons for the lack of such developments within computer science have to do with its historical roots in mathematical logic, whose development was not at all motivated by the representation of physical objects... [Pg.79]

The TYPE ID is an enumeration data type that indicates to application programs the type of certain entities or attributes. TYPE ID values LOGICAL, STRING, and USER DEFINED NAME are permitted only as descriptors for RECORD TYPE. All TYPE IDs for geometric data types are not permitted as RECORD TYPE descriptors. [Pg.44]

With its flexible and logical search language, REACCS can retrieve molecular stmctures, the atoms and bonds that are transformed ia a reaction, relative and absolute stereochemistry, the role (reactant, product, solvent, or catalyst) of a molecule ia a reaction, reaction data (eg, temperature and yield), hterature references, and keyword descriptions of reaction types. [Pg.125]

Adequate support from the facility staff is absolutely essential. The facility staff must help the analysis team gather pertinent documents (e.g., PSilDs, procedures, software descriptions, material inventories, meteorological data, population data) and must describe current operating and maintenance practices. The facility staff must then critique the logic model(s) and calculation(s) to ensure that the assumptions are correct and that the results seem reasonable. The facility staff should also be involved in developing any recommendations to reduce risk so they will fully understand the rationale behind all proposed improvements and can help ensure that the proposed improvements are feasible. Table 12 summarizes the types of facility resources and personnel needed for a typical QRA. [Pg.29]

After the hazard assessment has been conducted and the data has been collected, it should be organized in a logical outline that will estimate the potential for employee injury The organized data will help to decide the type of hazard(s) involved, the level of risk, and the seriousness of potential injury The appropriate levels of PPE are then selected based on the hazard determination and the availability of PPE. The user should be properly fitted for the specified PPE, and the employer should make sure that it is comfortable to wear. Hazard reassessments should be conducted as necessary based on the introduction of new or revised processes, equipment, and accident experience, to ensure the continued suitability of selection of the proper PPE. [Pg.126]


See other pages where Logical data type is mentioned: [Pg.264]    [Pg.264]    [Pg.499]    [Pg.264]    [Pg.264]    [Pg.499]    [Pg.160]    [Pg.323]    [Pg.242]    [Pg.38]    [Pg.291]    [Pg.28]    [Pg.362]    [Pg.72]    [Pg.397]    [Pg.327]    [Pg.74]    [Pg.397]    [Pg.548]    [Pg.118]    [Pg.303]    [Pg.279]    [Pg.265]    [Pg.266]    [Pg.325]    [Pg.100]    [Pg.37]    [Pg.62]    [Pg.61]    [Pg.532]    [Pg.1826]    [Pg.1911]    [Pg.340]   
See also in sourсe #XX -- [ Pg.110 , Pg.114 ]

See also in sourсe #XX -- [ Pg.263 ]




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