"... In PAGE 6: ... No tuple is missing in any full slice of a core cuboid, although the core cuboid itself may not be full. Table4 illustrates the concepts in Definition 1. In the example, both dimensions are a11a7a2a14 a12 .... In PAGE 8: ... We notice that aggregation cuboids are solely decided by their a7 dimensions, but the core cuboid also depends on the tuples missing from it. Table 5 illustrates concepts defined in Definition 2, following the example in Table4 . First we obtain two identical augmented dimensions as a31a7a2a10a2a15a2a14a2 a37a33.... In PAGE 8: ... Among them we have two 1-* ag- gregation cuboids as a31 a5 a7a2 a37a6a2 a5 a10a2 a37a6a2 a5 a15a2 a37a6a2 a5 a14a2 a37a6a33 and a31a37a2 a7a6a2 a5 a37a2a10a6a2 a5 a37a2a15a6a2 a5 a37a2a14a6a33, and one 2-* aggregation cuboids a5 a37a2 a37a6. The right cross tabulation in Table 5 shows a 2-dimensional data cube a29 a13 a21a22a23a24 a2 a2 a17 a16a16 a0, where a13 a21a22a23a24 is the same core cuboid as in Table4 , and a2 a17 a16a16 includes three aggregation cuboids. Notice that the two augmented dimensions are shown only for the purpose of clarity, and they are not a part of the data cube.... In PAGE 8: ... Tuples in a core cuboid (or its subset) and aggregation vectors in an aggregation cuboid (or its subset) are in dictionary order ( by saying so, we are treating vectors as strings with the leftmost element the most significant ). For example, the core cuboid a13 a21a22a23a24 in Table4 is sorted as a31 a5 a7a2 a7a6a2 a5 a7a2a10a6a2 a5 a7a2 a15a6a2... In PAGE 11: ... The actual values of different data types in the domain of a dimension is related to a set of integers by a one-to-one mapping. For example, dimensions month and employee in Table 3 are mapped to integer intervals a11a7a2a14 a12 in Table4 . Such an abstraction ignores the specific values in each dimension and focuses on the structure of the data cube.... In PAGE 12: ...The core cuoid, aggregation cuboids, and data cube in Definition 1 are similar to those in [21]. For example, the real-world data cube in Table 3 is modeled in Table4 . However, unlike in [21], we model data cubes using sets of vectors instead of defining them as a relational operator.... ..."

"... In PAGE 13: ...change. Table13 provides the summary of concepts related to the main attributes and characteristic of agility. It should be noted that among those attributes, the core and global characteristics of agility that can be applied to ARTICLE IN PRESS Table 13 The summary of concepts related to main characteristics/attributes of agility... ..."

"... In PAGE 10: ... The solid-wall concept is aluminum. The material properties used for the facesheets and core are presented in Table2 . Tensorial strains are used for the analysis.... ..."

"... In PAGE 14: ... However, from an ontological point of view, this relationship does not contribute any semantics. Table1 shows some of the mappings defined for PNML Core Model. In this table, each attribute of a PNML concept is related to its equivalent definition in F-Logic.... ..."

"... In PAGE 7: ... Table1 .... In PAGE 15: ... (1999) write about CRM as being really about teamwork. The differences in CRM definitions become apparent when one looks at the diverse skills taught in various CRM training programs as shown in Table1 . 1.... In PAGE 17: ... For rail CRM training programs, NTSB has recommended that training include crewmember proficiency, communication, situational awareness, and conflict resolution (NTSB, 1999c). As shown in Table1 , CRM programs in the medical arena include skills such as priority assessment, assertiveness, use of information, communication, leadership, avoidance of preoccupation, and situational awareness. The flexibility to present core CRM concepts in different manners allows for a more direct training focus within each industry and the ability to relate CRM to associated pre-existing training programs.... ..."

"... In PAGE 9: ...0 Evolution_____________________________________________________ 34 Table 17 : Mapping Core RT Concepts to RTP UML 1.4 ____________________________________ 36 Table18 : Mapping Secondary RT concepts to RTP UML 1.4_________________________________ 37 Table 19: RT Elements of State machine mapping to RTP UML 1.... In PAGE 47: ... Table 19: RT Elements of State machine mapping to RTP UML 1.4 Table 17, Table18 and Table 19 define the mapping methodology as to how the various concepts of Real Time UML are mapped into the new profile of RTP UML 1.4.... ..."

"... In PAGE 19: ... When the problem of context dependence is better understood, this part of the formalism will need to be changed. Thus, a denotational distinction of a word w is a quadruple of components as follows: w: (frequency strength indirectness concept) The first part of Table2 gives some examples for the distinctions of Figures 7 and 8. 5.... In PAGE 20: ...i.e., a variable) to one of the concepts specified in the core denotation of peripheral concepts. The second part of Table2 gives an example. 5.... In PAGE 20: ... Thus, we represent a stylistic distinction as follows: w: (degree dimension) where degree can take a value of low, medium,orhigh (though more values could easily be added to increase the precision). The third part of Table2 gives two examples. 6.... ..."

"... In PAGE 53: ... In the example provided in section 3 we can notice that there are various entities and each have their own policies. The following is a table listing the policies applied in the example found in Section 3 Table 1: Table of entity policies Entity Policy Web Page Allow all Paper If user can be authenticated as being on the submission board (After paper approved) Allow all User Agent A Do not download publications which have not been approved User Agent B Allow all User Agent C Allow all The following is a table listing the credentials found in the example found in Section 3 Table2 : Table of entity credentials Entity Credentials Web Page Credentials that point to author Paper Credentials that point to author User Agent A No Credentials in this example User Agent B Credentials to prove he/she is a board member User Agent C No Credentials (After inputting credentials) Credentials to prove he/she is a board member 3.2 Empowering users An important factor which is to be considered is that it will be hard for such a system to be adopted unless the users are able to migrate their current security structures and perform maintenance on them more efficiently.... In PAGE 113: ... Table 1. Method Comparison 1 METHOD CONSISTENCY BETWEEN NOTATIONS SUPPORT FOR COMUNICATION CONSTRUCTS SUPPORT FOR RESOURCE CONTROL DIFFERENT SYSTEM VIEWS CORE Very Good Poor Poor Average YSM Very Good Poor Poor Average MASCOT Very Good Excellent Very Good Poor CODARTS Very Good Good Good Average HOOD Very Good Average Good Poor ROOM Very Good Good Very Good Poor UML Poor Average Average Very Good UML-RT Good Good Good Good score method (poor = 1, average = 2 , good = 3, very good =4, excellent = 5 Table2 . Method Comparison 2 METHOD CASE TOOL SUPPORT ABSTRACTION / INFO.... ..."

"... In PAGE 10: ...2.2 Contents of the core library Table1 contains, short descriptions of some of the theories in the library core ontology as shown in Fig. 3.... ..."

"... In PAGE 4: ... Knowledge management processes. The KM life cycle models shown in Table1 [Nissen 2002] can be simplified for our proposed KM architecture for two reasons: we already extracted the well-formed CPS knowledge structure, and content management was delegated to the workflow-enabled CMS. When investigating the essential components of human interaction and creativity, we discovered that [Hneiderman 00] has proposed four core concepts: a) new knowledge is built on previous knowledge, b) powerful ... ..."