249 research outputs found
Frank Stanger shaking hands Dr. Lowell O Ryan, Chairman of the Board of Trustees.
No full textDr. Frank Bateman Stanger being welcomed to a new five year term as President of Asbury Theological Seminary, Wilmore, KY, by Dr. Lowell O. Ryan, Chairman of the Board of Trustees. Dr. Robert G. Mayfield, Vice-President for Development (left) and Mr. William E. Savaqe, Vice-President for Business Administration (right) are also pictured.https://place.asburyseminary.edu/atshistory/1098/thumbnail.jp
Frank Stanger shaking hands Dr. Lowell O Ryan, Chairman of the Board of Trustees.
No full textDr. Frank Bateman Stanger being welcomed to a new five year term as President of Asbury Theological Seminary, Wilmore, KY, by Dr. Lowell O. Ryan, Chairman of the Board of Trustees. Dr. Robert G. Mayfield, Vice-President for Development (left) and Mr. William E. Savaqe, Vice-President for Business Administration (right) are also pictured.https://place.asburyseminary.edu/atshistory/1099/thumbnail.jp
Frank Stanger shaking hands Dr. Lowell O Ryan, Chairman of the Board of Trustees.
No full textDr. Frank Bateman Stanger being welcomed to a new five year term as President of Asbury Theological Seminary, Wilmore, KY, by Dr. Lowell O. Ryan, Chairman of the Board of Trustees. Dr. Robert G. Mayfield, Vice-President for Development (left) and Mr. William E. Savaqe, Vice-President for Business Administration (right) are also pictured.https://place.asburyseminary.edu/atshistory/1097/thumbnail.jp
Translating descriptions of a viewpoint among different representations
No full textAn important part of the systems development process is building models of real-world phenomena. These phenomena are described by many different kinds of information, and this diversity has resulted in a wide variety of modelling representations. Some types of information are better expressed by some representations than others, so it is sensible to use multiple representations to describe a real-world phenomenon. The author has developed an approach to facilitating the use of multiple representations within a single viewpoint by translating descriptions of the viewpoint among different representations. An important issue with such translations is their quality, or how well they map constructs of one representation to constructs of another representation. Two possible methods for improving translation quality, heuristics and enrichment, are proposed in this paper, and a preliminary metric for measuring relative translation quality is described.Unpublished[1] A. Finkelstein, M. Goedicke, J. Kramer, and C. Niskier, “ViewPoint oriented software development: Methods and viewpoints in requirements engineering,” in Proceedings of the Second Meteor Workshop on Methods for Formal Specification (J. Bergstra and L. Feijs, eds.), vol. 490 of Lecture Notes in Computer Science, (Mierlo, The Netherlands), pp. 29–54, Springer-Verlag, Sept. 1989.
[2] J. Rumbaugh, I. Jacobson, and G. Booch, The Unified Modeling Language Reference Manual. Reading, Massachusetts: Addison-Wesley, 1999.
[3] N. Stanger, Using Multiple Representations Within a Viewpoint. PhD thesis, Department of Information Science, University of Otago, Dunedin, New Zealand, Dec. 1999.
[4] R. Pascoe and J. Penny, “Construction of interfaces for the exchange of geographic data,” International Journal of Geographical Information Systems, vol. 4, no. 2, pp. 147–156, 1990.
[5] S. M. Easterbrook, Elicitation of Requirements from Multiple Perspectives. PhD thesis, Imperial College of Science Technology and Medicine, University of London, London, 1991.
[6] N. Stanger and R. Pascoe, “Environments for viewpoint representations,” in Proceedings of the Fifth European Conference on Information Systems (ECIS’97) (R. Galliers, S. Carlsson, C. Loebbecke, C. Murphy, H. Hansen, and R. O’Callaghan, eds.), vol. I, (Cork, Ireland), pp. 367–382, Cork Publishing, June 19–21 1997.
[7] N. Stanger, “A viewpoint-based framework for discussing the use of multiple modelling representations,” Discussion Paper 2000/09, Department of Information Science, University of Otago, Dunedin, New Zealand, Apr. 2000.
[8] P. Darke and G. Shanks, “Stakeholder viewpoints in requirements definition: A framework for understanding viewpoint development approaches,” Requirements Engineering, vol. 1, pp. 88–105, 1996.
[9] R. T. Pascoe and J. P. Penny, “Constructing interfaces between (and within) geographical information systems,” International Journal of Geographical Information Systems, vol. 9, no. 3, pp. 275–291, 1995.
[10] J. Martin, Information Engineering, Book II: Planning and Analysis. Englewood Cliffs, New Jersey: Prentice-Hall, revised ed., 1990.
[11] P. Atzeni and R. Torlone, “Schema translation between heterogeneous data models in a lattice framework,” in Database Applications Semantics, Proceedings of the Sixth IFIP TC-2 Working Conference on Data Semantics (DS-6) (R. Meersman and L. Mark, eds.), (Stone Mountain, Atlanta, Georgia), pp. 345–361, Chapman & Hall, May 30–June 2 1995.
[12] P. Atzeni and R. Torlone, “Management of multiple models in an extensible database design tool,” in Proceedings of the Fifth International Conference on Extending Database Technology (EDBT’96) (P. Apers, M. Bouzeghoub, and G. Gardarin, eds.), vol. 1057 of Lecture Notes in Computer Science, (Avignon, France), pp. 79–95, Springer-Verlag, Mar. 25–29 1996.
[13] R. W. Amor, A Generalised Framework for the Design and Construction of Integrated Design Systems. PhD thesis, Department of Computer Science, University of Auckland, Auckland, New Zealand, May 1997.
[14] H. C. Smith, “Database design: Composing fully normalized tables from a rigorous dependency diagram,” Communications of the ACM, vol. 28, no. 8, pp. 826–838, 1985.
[15] N. Stanger, “Modifications to Smith’s method for deriving normalised relations from a functional dependency diagram,” Discussion Paper 99/23, Department of Information Science, University of Otago, Dunedin, New Zealand, Dec. 1999.
[16] N. Stanger and R. Pascoe, “Exploiting the advantages of object-oriented programming in the implementation of a database design environment,” in Proceedings of the Joint 1997 Asia Pacific Software Engineering Conference and International Computer Science Conference (APSEC’ 97/ICSC’ 97), (Hong Kong), IEEE Press, Dec. 2–5 1997.
[17] N. Stanger and R. Pascoe, “Exploiting the advantages of object-oriented programming in the implementation of a database design environment,” Discussion Paper 97/08, Department of Information Science, University of Otago, Dunedin, New Zealand, 1997.
[18] S. Su and S. Fang, “A neutral semantic representation for data model and schema translation,” Technical report TR-93-023, University of Florida, Gainesville, Florida, July 1993.
[19] R. Hull, “Relative information capacity of simple relational database schemata,” SIAM Journal on Computing, vol. 15, pp. 856–886, Aug. 1986.
[20] R. Miller, Y. Ioannidis, and R. Ramakrishnan, “Schema intension graphs: A formal model for the study of schema equivalence,” Technical report CS-TR-94-1185, Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, Jan. 1994.
[21] R. Miller, Y. Ioannidis, and R. Ramakrishnan, “Schema equivalence in heterogeneous systems: Bridging theory and practice,” Information Systems, vol. 19, no. 1, pp. 3–31, 1994.
[22] R. Miller, Managing Structural Heterogeneity. PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, 1994
Translating descriptions of a viewpoint among different representations
No full textAn important part of the systems development process is building models of real-world phenomena. These phenomena are described by many different kinds of information, and this diversity has resulted in a wide variety of modelling representations. Some types of information are better expressed by some representations than others, so it is sensible to use multiple representations to describe a real-world phenomenon. The author has developed an approach to facilitating the use of multiple representations within a single viewpoint by translating descriptions of the viewpoint among different representations. An important issue with such translations is their quality, or how well they map constructs of one representation to constructs of another representation. Two possible methods for improving translation quality, heuristics and enrichment, are proposed in this paper, and a preliminary metric for measuring relative translation quality is described.Unpublished[1] A. Finkelstein, M. Goedicke, J. Kramer, and C. Niskier, “ViewPoint oriented software development: Methods and viewpoints in requirements engineering,” in Proceedings of the Second Meteor Workshop on Methods for Formal Specification (J. Bergstra and L. Feijs, eds.), vol. 490 of Lecture Notes in Computer Science, (Mierlo, The Netherlands), pp. 29–54, Springer-Verlag, Sept. 1989.
[2] J. Rumbaugh, I. Jacobson, and G. Booch, The Unified Modeling Language Reference Manual. Reading, Massachusetts: Addison-Wesley, 1999.
[3] N. Stanger, Using Multiple Representations Within a Viewpoint. PhD thesis, Department of Information Science, University of Otago, Dunedin, New Zealand, Dec. 1999.
[4] R. Pascoe and J. Penny, “Construction of interfaces for the exchange of geographic data,” International Journal of Geographical Information Systems, vol. 4, no. 2, pp. 147–156, 1990.
[5] S. M. Easterbrook, Elicitation of Requirements from Multiple Perspectives. PhD thesis, Imperial College of Science Technology and Medicine, University of London, London, 1991.
[6] N. Stanger and R. Pascoe, “Environments for viewpoint representations,” in Proceedings of the Fifth European Conference on Information Systems (ECIS’97) (R. Galliers, S. Carlsson, C. Loebbecke, C. Murphy, H. Hansen, and R. O’Callaghan, eds.), vol. I, (Cork, Ireland), pp. 367–382, Cork Publishing, June 19–21 1997.
[7] N. Stanger, “A viewpoint-based framework for discussing the use of multiple modelling representations,” Discussion Paper 2000/09, Department of Information Science, University of Otago, Dunedin, New Zealand, Apr. 2000.
[8] P. Darke and G. Shanks, “Stakeholder viewpoints in requirements definition: A framework for understanding viewpoint development approaches,” Requirements Engineering, vol. 1, pp. 88–105, 1996.
[9] R. T. Pascoe and J. P. Penny, “Constructing interfaces between (and within) geographical information systems,” International Journal of Geographical Information Systems, vol. 9, no. 3, pp. 275–291, 1995.
[10] J. Martin, Information Engineering, Book II: Planning and Analysis. Englewood Cliffs, New Jersey: Prentice-Hall, revised ed., 1990.
[11] P. Atzeni and R. Torlone, “Schema translation between heterogeneous data models in a lattice framework,” in Database Applications Semantics, Proceedings of the Sixth IFIP TC-2 Working Conference on Data Semantics (DS-6) (R. Meersman and L. Mark, eds.), (Stone Mountain, Atlanta, Georgia), pp. 345–361, Chapman & Hall, May 30–June 2 1995.
[12] P. Atzeni and R. Torlone, “Management of multiple models in an extensible database design tool,” in Proceedings of the Fifth International Conference on Extending Database Technology (EDBT’96) (P. Apers, M. Bouzeghoub, and G. Gardarin, eds.), vol. 1057 of Lecture Notes in Computer Science, (Avignon, France), pp. 79–95, Springer-Verlag, Mar. 25–29 1996.
[13] R. W. Amor, A Generalised Framework for the Design and Construction of Integrated Design Systems. PhD thesis, Department of Computer Science, University of Auckland, Auckland, New Zealand, May 1997.
[14] H. C. Smith, “Database design: Composing fully normalized tables from a rigorous dependency diagram,” Communications of the ACM, vol. 28, no. 8, pp. 826–838, 1985.
[15] N. Stanger, “Modifications to Smith’s method for deriving normalised relations from a functional dependency diagram,” Discussion Paper 99/23, Department of Information Science, University of Otago, Dunedin, New Zealand, Dec. 1999.
[16] N. Stanger and R. Pascoe, “Exploiting the advantages of object-oriented programming in the implementation of a database design environment,” in Proceedings of the Joint 1997 Asia Pacific Software Engineering Conference and International Computer Science Conference (APSEC’ 97/ICSC’ 97), (Hong Kong), IEEE Press, Dec. 2–5 1997.
[17] N. Stanger and R. Pascoe, “Exploiting the advantages of object-oriented programming in the implementation of a database design environment,” Discussion Paper 97/08, Department of Information Science, University of Otago, Dunedin, New Zealand, 1997.
[18] S. Su and S. Fang, “A neutral semantic representation for data model and schema translation,” Technical report TR-93-023, University of Florida, Gainesville, Florida, July 1993.
[19] R. Hull, “Relative information capacity of simple relational database schemata,” SIAM Journal on Computing, vol. 15, pp. 856–886, Aug. 1986.
[20] R. Miller, Y. Ioannidis, and R. Ramakrishnan, “Schema intension graphs: A formal model for the study of schema equivalence,” Technical report CS-TR-94-1185, Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, Jan. 1994.
[21] R. Miller, Y. Ioannidis, and R. Ramakrishnan, “Schema equivalence in heterogeneous systems: Bridging theory and practice,” Information Systems, vol. 19, no. 1, pp. 3–31, 1994.
[22] R. Miller, Managing Structural Heterogeneity. PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, 1994
Metodologia baseada em projetos para Gestão da Inteligência Policial
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2009Este trabalho teve por objetivo desenvolver uma metodologia para a gestão de operações da Polícia Federal por meio de uma abordagem baseada em Gerenciamento de Projetos. A incursão teórica realizada permitiu observar que grande parte dos estudos sobre gerenciamento de projetos enfoca diversas aplicações empresariais, porém não foram encontrados relatos de aplicações na área de segurança pública, principalmente no tocante às especificidades que ocorrem no planejamento operacional das operações de inteligência policiais. Para o desenvolvimento deste trabalho considerou-se o alinhamento necessário que deve haver entre as estratégias de negócio, a segurança das informações, inteligência policial, gerenciamento de riscos, gestão do conhecimento e a gestão do portfólio de operações. O estudo teve caráter exploratório e utilizou a abordagem de estudo de caso para criar e verificar a aplicabilidade da metodologia proposta. Esta verificação se deu pela triangulação de três técnicas: validação por especialistas; estudo de caso preliminar para ajustes na proposição; e estudo de caso para validação da sistemática. Os resultados alcançados mostraram que é possível a estruturação das operações de inteligência policial por meio de uma abordagem de gerenciamento de projetos a partir de uma metodologia e modelo construídos para este fim. Nesta metodologia estão presentes as atividades importantes, e, somente as necessárias e imprescindíveis, para um eficiente gerenciamento de projetos sem, entretanto, aprofundar em detalhes haja vista que o enfoque principal são as atividades de inteligência policial aplicadas como estudo de caso na Polícia Federal. Como resultados obtidos tanto para a área de gerenciamento de projetos como para o mercado e academia verificou-se que é possível a partir de boas práticas de gerenciamento de projetos obter novas abordagens e metodologias que, ao mesmo tempo em que consigam atender casos específicos, não perdem a sua essência e permitem o seu uso por públicos-alvo que não tenham necessariamente formação na área de gerenciamento de projetos
Bob Stanger
No full textThe Larson Studio Collection contains portraits and landscape photographs from Thomas Larson and his son O. Blaine Larson, who operated the Larson Studio in Provo, Utah County, Utah
A physical database model
No full text214 leaves ; 30 cm. Includes bibliographical references. University of Otago department: Information Science. "December 2004".A good database design brings total attention to data. Data have been recognized as a valuable resource, resulting in an increased use of database systems. A wide variety of models and techniques are available to aid in system development at the analysis and logical stage. Once the system is defined at the logical stage, many other decisions have to be made to define the construction, operation and maintenance of the database system at the physical stage.
Database design whether physical or logical is the process of determining the organization of a database. The concept of logical and conceptual modelling has been widely researched. However, few researchers seem to have considered physical modelling explicitly. Physical modelling is the conversion of a logical model to a physical model that will be suitable for a specific system with its own hardware configuration (Batini, Ceri et al. 1990).
The objective of this thesis is to propose a physical database modelling technique that will demonstrate a join between logical and physical design to improve the performance of a database system using physical tuning techniques. It will annotate an entity model with physical detail that will provide a framework for building a physical model.
To substantiate the relevance of the physical database model, the author looks at the physical storage structures in a database system and other physical database models that have been previously developed.
This thesis will use a moderately realistic database system case study. The case study is used as an example for interpreting possible physical problem areas in a "real" database system. The aim will be to model and optimise the physical design of the discussed case study.UnpublishedAmbler, S. W. (2002). Agile Data, Agile Modelling. 2003.
Batini, Ceri, et al. (1990). Entity Modelling, Publishing Company Inc.
Batory, D. S. (1985). "Modelling the Storage Architectures of Commercial
Database Systems." ACM Transactions on Database Systems 10(4): 463-528.
Beynon-Davies, P. (1992). "Using an entity model to drive physical database
design." Information and Software Technology 34(12/1992): 805-813.
Beynon-Davies, P. (1996). Database Systems, Macmillan, USA
Campbell, D. (1992). "Entity-Relationship Modelling: One Style Suits All?"
DATABASE.23(3):12-18
Chan and Lochovsky (1980). Entity-Relationship Approach: The use of ER
concept in knowledge representation. Edited by P. P. Chen.
Chanchani, N. Understanding Clustering. Developer EIB,www.ejbsamples.com
Last accessed date 14/08/2004.
Connoly, T. and C. Begg (2002). Database Systems- A practical approach to
design, implementation and Management, Addison-Wesley.
Corey, M. J. and Abbey (1997). ORACLE data warehousing - A practical guide to
successful data warehouse analysis, build, roll-out, Osborne McGraw-Hill.
Coronel, R. Database Systems - Design, Implementation & Management,
Thomson Learning.
Date, C. J. (1995). An Introduction to Database Systems, 2nd Edition, Addison
Wesley Publishing Company.
D'Orazio, R. and G. Happel (1996). Practical Data Modelling for Database
Design- The IT Series, John Wiley & Sons.
Feldman, P. and D. Miller (1986). "Entity Model Clustering: Structuring A Data
Model By Abstraction." The Computer Journal 29(4).Pages 348-360
Cane and Sarson (1978) Structured System Analysis: Tools and Techniques.
Prentice Hall
Gillenson, M. L. (1990). " Physical Design Equivalences in Database Conversion."
Communications of the ACM 33(8).Pages 120-131
Kaminski, D. M. (1985). "Query Processing Optimisation Strategies: Possible vs.
Optimal Solutions." ACM Transactions on Database Systems Volume 85 pg 449-
456.
Knuth, D. E. (1973). The Art of Computer Programming - Sorting and
Searching, Addison Wesley.
McFadden, F. R. and J. A. Hoffer (1991). Modern Database Management, The
Benjamin/Cummings Publishing Company Inc.
Naiburg and Maksimchuk (2001) referenced from Agile Modeling. 2003.
O'Neil, P. (1994). Database- Design, Principles And Programming, Morgan
Kaufmann.
O'Neil, P. and E. O'Neil (1994). Database Principles, Programming and
Performance, Morgan Kaufmann Publishers.
Powell, J. D. and D. P. Tiliman(1979) "Automating the development of a
conceptual schema." ACM Transactions on Database Systems pg 98-105
Robinson, K. A. (1979). "An entity/event data modelling method." The Computer
Journal 22(3) pg 270-271.
Roti, S. (1996). Indexing and Access Mechanism. DBMS pg 65-68.
Severance, D. G. and A. G. Merten (1986). "Performance Evaluation of File
Organizations through Modeling." ACM Transactions on Database Systems
pg 543-545
Silberschatz(1999). "Database Systems and Concepts" Fifth Edition
Spiegler, I. and D. Widder (1993). "Physical Database Design: A Decision Support
Model." DATABASE pg 5-11.
Stanger, N. (2001). BDL Electronics.Case study for paper INFO 321 (Database
Systems), Department of Information Science, University of Otago
Teorey, T. J. and J. P. Fry (1982). Design of Database Structures, New Jersey,
Prentice Hall.
Tewari, R. (1990). "Expert Design Tools for Physical Database Design." ACM
Transactions on Database Systems pg 538-549.
Tufte, E. (1997). Visual Explanations, Images & Quantities, Evidence & Narrative,
Graphics Press.
Tufte, E. R. (1998). Envisioning Information, Graphics Press.
Wiederhold (1993). "Physical Database Design (DDMS)." ACM Transactions on
Database Systems pg 657-659.
Willits, J. (1992). Database Design & Construction - an open learning course for
students and information managers, Library Association Publishing, London
A physical database model
No full text214 leaves ; 30 cm. Includes bibliographical references. University of Otago department: Information Science. "December 2004".A good database design brings total attention to data. Data have been recognized as a valuable resource, resulting in an increased use of database systems. A wide variety of models and techniques are available to aid in system development at the analysis and logical stage. Once the system is defined at the logical stage, many other decisions have to be made to define the construction, operation and maintenance of the database system at the physical stage.
Database design whether physical or logical is the process of determining the organization of a database. The concept of logical and conceptual modelling has been widely researched. However, few researchers seem to have considered physical modelling explicitly. Physical modelling is the conversion of a logical model to a physical model that will be suitable for a specific system with its own hardware configuration (Batini, Ceri et al. 1990).
The objective of this thesis is to propose a physical database modelling technique that will demonstrate a join between logical and physical design to improve the performance of a database system using physical tuning techniques. It will annotate an entity model with physical detail that will provide a framework for building a physical model.
To substantiate the relevance of the physical database model, the author looks at the physical storage structures in a database system and other physical database models that have been previously developed.
This thesis will use a moderately realistic database system case study. The case study is used as an example for interpreting possible physical problem areas in a "real" database system. The aim will be to model and optimise the physical design of the discussed case study.UnpublishedAmbler, S. W. (2002). Agile Data, Agile Modelling. 2003.
Batini, Ceri, et al. (1990). Entity Modelling, Publishing Company Inc.
Batory, D. S. (1985). "Modelling the Storage Architectures of Commercial
Database Systems." ACM Transactions on Database Systems 10(4): 463-528.
Beynon-Davies, P. (1992). "Using an entity model to drive physical database
design." Information and Software Technology 34(12/1992): 805-813.
Beynon-Davies, P. (1996). Database Systems, Macmillan, USA
Campbell, D. (1992). "Entity-Relationship Modelling: One Style Suits All?"
DATABASE.23(3):12-18
Chan and Lochovsky (1980). Entity-Relationship Approach: The use of ER
concept in knowledge representation. Edited by P. P. Chen.
Chanchani, N. Understanding Clustering. Developer EIB,www.ejbsamples.com
Last accessed date 14/08/2004.
Connoly, T. and C. Begg (2002). Database Systems- A practical approach to
design, implementation and Management, Addison-Wesley.
Corey, M. J. and Abbey (1997). ORACLE data warehousing - A practical guide to
successful data warehouse analysis, build, roll-out, Osborne McGraw-Hill.
Coronel, R. Database Systems - Design, Implementation & Management,
Thomson Learning.
Date, C. J. (1995). An Introduction to Database Systems, 2nd Edition, Addison
Wesley Publishing Company.
D'Orazio, R. and G. Happel (1996). Practical Data Modelling for Database
Design- The IT Series, John Wiley & Sons.
Feldman, P. and D. Miller (1986). "Entity Model Clustering: Structuring A Data
Model By Abstraction." The Computer Journal 29(4).Pages 348-360
Cane and Sarson (1978) Structured System Analysis: Tools and Techniques.
Prentice Hall
Gillenson, M. L. (1990). " Physical Design Equivalences in Database Conversion."
Communications of the ACM 33(8).Pages 120-131
Kaminski, D. M. (1985). "Query Processing Optimisation Strategies: Possible vs.
Optimal Solutions." ACM Transactions on Database Systems Volume 85 pg 449-
456.
Knuth, D. E. (1973). The Art of Computer Programming - Sorting and
Searching, Addison Wesley.
McFadden, F. R. and J. A. Hoffer (1991). Modern Database Management, The
Benjamin/Cummings Publishing Company Inc.
Naiburg and Maksimchuk (2001) referenced from Agile Modeling. 2003.
O'Neil, P. (1994). Database- Design, Principles And Programming, Morgan
Kaufmann.
O'Neil, P. and E. O'Neil (1994). Database Principles, Programming and
Performance, Morgan Kaufmann Publishers.
Powell, J. D. and D. P. Tiliman(1979) "Automating the development of a
conceptual schema." ACM Transactions on Database Systems pg 98-105
Robinson, K. A. (1979). "An entity/event data modelling method." The Computer
Journal 22(3) pg 270-271.
Roti, S. (1996). Indexing and Access Mechanism. DBMS pg 65-68.
Severance, D. G. and A. G. Merten (1986). "Performance Evaluation of File
Organizations through Modeling." ACM Transactions on Database Systems
pg 543-545
Silberschatz(1999). "Database Systems and Concepts" Fifth Edition
Spiegler, I. and D. Widder (1993). "Physical Database Design: A Decision Support
Model." DATABASE pg 5-11.
Stanger, N. (2001). BDL Electronics.Case study for paper INFO 321 (Database
Systems), Department of Information Science, University of Otago
Teorey, T. J. and J. P. Fry (1982). Design of Database Structures, New Jersey,
Prentice Hall.
Tewari, R. (1990). "Expert Design Tools for Physical Database Design." ACM
Transactions on Database Systems pg 538-549.
Tufte, E. (1997). Visual Explanations, Images & Quantities, Evidence & Narrative,
Graphics Press.
Tufte, E. R. (1998). Envisioning Information, Graphics Press.
Wiederhold (1993). "Physical Database Design (DDMS)." ACM Transactions on
Database Systems pg 657-659.
Willits, J. (1992). Database Design & Construction - an open learning course for
students and information managers, Library Association Publishing, London
Annual Advent and candlelighting service, 1969
No full textPRELUDE -- Greensleeves / V. Williams, arr. Roper -- We three kings / Wyton -- From heaven above / Pachelbel -- CHORAL INTROIT -- Good news from heaven / (from the Christmas Oratorio) J.S. Bach -- PROCESSIONAL HYMN -- O come all ye faithful -- Call to worship / Frank Bateman Stanger -- CHORAL RESPONSE -- God is with us / Kastalsky -- Prayer / Clyde E. Van Valin -- READING OF THE SCRIPTURES -- Isaiah 11: 1-9 / Howard McIlrath and Cromwell Cleveland -- There shall a star from Jacob come forth / Mendelssohn -- Ye watchers and ye holy ones / Fisher -- READING OF THE SCRIPTURES -- Luke 2: 1-14 / Don Crutcher and Philip Harris -- CHRISTMAS ORATORIO (Camille Saint-Saens) -- Prelude / String ensemble -- There were shepherds -- And lo! An angel of the Lord -- Fear not, oh ye shepherds -- And suddenly there was with the angel -- Glory be unto God in the highest -- Patiently have I waited for the Lord -- In my heart I believe, O Lord -- The benedictus -- Wherefore do the heathen clamor? -- The Magnificat -- Alleluia, ye heavens sing praises -- Arise now daughter of Zion -- Praise ye the Lord of Hosts -- OFFERTORY -- In dulci jubilo / Buxtehude -- Do you hear what I hear / Regney-Shane -- Hear the joyful news / (from Cantata 141) J.S. Bach -- ADVENT MESSAGE -- The road to Bethlehem / Frank Bateman Stanger -- As with gladness men of old -- LIGHTING OF THE CANDLES -- Joy to the world / Handel -- Benediction -- POSTLUDE -- Fanfare on, Hark the herald angels sing.https://place.asburyseminary.edu/ecommonsevents/1206/thumbnail.jp
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