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Table 3: Obtained CF in crisp LSDB (HorizonT ype → %OrganicCarbon) Mesoenv. AD AR [Ap] ⇒ [L], CF 0.56 SE CF 0.01 [Bw] ⇒ [L], CF 0.81 [Ah] ⇒ [L], CF -0.19 [Ah] ⇒ [M], CF 0.23 [Bw] ⇒ [L], CF 0.65 SB CF 0.37 [Ah] ⇒ [L], CF -0.58 [Ah] ⇒ [M], CF 0.57 [C] ⇒ [L],CF1 SN CF 0.11 [Bw] ⇒ [L], CF1 [Ah] ⇒ [L], CF -0.35 [Ah] ⇒ [M], CF 0.35 Bib. source AD AR [Ck] ⇒ [L], CF -0.15 CEHEGIN CF 0.12 [Ap] ⇒ [L],CF1 [Ah] ⇒ [L], CF -0.32 [C] ⇒ [L],CF1 MARAÑON CF 0.11 [Bw] ⇒ [L], CF1 [Ah] ⇒ [L], CF -0.35 [Ah] ⇒ [M], CF 0.35 [C] ⇒ [L],CF1 MULA CF 0.73 [Ap] ⇒ [L],CF1 [Bw] ⇒ [L], CF 0.65 OYONARTE CF 0.37 [Ah] ⇒ [L], CF -0.58 [Ah] ⇒ [M], CF 0.57 [C] ⇒ [L],CF1 SORBAS CF -0.01 [Bw] ⇒ [L],CF1 [Ap] ⇒ [L], CF -0.07 [Ah] ⇒ [M], CF -0.02 [C] ⇒ [L], CF -0.03 TABERNAS CF -0.02 [Bw] ⇒ [L],CF1 [Ap] ⇒ [L], CF -0.13 [Ah] ⇒ [L], CF -0.01 [C] ⇒ [L], CF 0.5 VERA CF 0.07 [Ap] ⇒ [L], CF -0.23 Acting prot. AD AR [Ck] ⇒ [L], CF -0,23 ALIAS CF 0.53 [Ck] ⇒ [L], CF1 [Ck] ⇒ [L], CF1 [Bw] ⇒ [L], CF 0.65 CECILIO CF 0.37 [Ah] ⇒ [L], CF -0.58 [Ah] ⇒ [M], CF 0.57 [C] ⇒ [L],CF1 SANCHEZ CF 0.11 [Bw] ⇒ [L],CF1 [Ah] ⇒ [L], CF -0.35 [Ah] ⇒ [M], CF 0.35 [C] ⇒ [L], CF 0.41 PEREZ CF -0.04 [Bw] ⇒ [L], CF 0.81 [Ah] ⇒ [L], CF -0.16 [Ah] ⇒ [M], CF 0.19 AN EXPERIENCE IN MANAGEMENT OF IMPRECISE SOIL DATABASES Table 4: Obtained CF in fuzzy LSDB (HorizonT ype → %OrganicCarbon) (i) Mesoenv. FAD FAR [Ck] ⇒ [L], CF 0.54 SE CF 0.38 [C] ⇒ [L], CF 0.73 [Bwk] ⇒ [L], CF 0.43 [Bw] ⇒ [L], CF 0.80 [Btk] ⇒ [L], CF 0.88 [Bt] ⇒ [L], CF 0.61 [Bk] ⇒ [L], CF -0.03 [Ap] ⇒ [L], CF 0.66 [Ah] ⇒ [L], CF 0.23 [Ah] ⇒ [M], CF 0.18 [C] ⇒ [M], CF -0.05 SB CF 0.35 [C] ⇒ [H], CF -0.05 [Bwk] ⇒ [M], CF 0.57 [Bwk] ⇒ [H], CF 0.06 [Btk] ⇒ [M], CF -0.05 [Btk] ⇒ [H], CF -0.05 [Bw] ⇒ [M], CF0.48 [Bw] ⇒ [H], CF 0.11 [Bt] ⇒ [M], CF 0.31 [Bt] ⇒ [H], CF -0.05 [Ap] ⇒ [M], CF0.30 [Ap] ⇒ [H], CF -0.05 [Ah] ⇒ [M], CF 0.07 [Ah] ⇒ [H], CF0.37 [Ck] ⇒ [L], CF 0.80 SN CF 0.34 [C] ⇒ [L], CF 0.72 [Bwk] ⇒ [L], CF 0.81 [Bw] ⇒ [L], CF 0.41 [Bw] ⇒ [M], CF0.30 [Bt] ⇒ [L], CF -0.01 [Ap] ⇒ [L], CF -0.01 [Ah] ⇒ [L], CF 0.26 [Ah] ⇒ [M], CF 0.15 [Ah] ⇒ [H],CF0.05 165
166 ENTERPRISE INFORMATION SYSTEMS VI Table 5: Obtained CF in fuzzy LSDB (HorizonT ype → %OrganicCarbon) (ii) Bib. source FAD FAR [Ck] ⇒ [L], CF 0.55 CEHEGIN CF 0.52 [C] ⇒ [L],CF0.80 [Bwk] ⇒ [L], CF 0.85 [Bw] ⇒ [L], CF 0.85 [Ap] ⇒ [L], CF 0.34 [Ap] ⇒ [M],CF0.26 [Ah] ⇒ [L], CF 0.09 [Ah] ⇒ [M], CF0.48 [Ck] ⇒ [L], CF 0.77 MULA CF 0.72 [C] ⇒ [L], CF0.81 [Bwk] ⇒ [L], CF -0.03 [Bw] ⇒ [L], CF -0.03 [Ap] ⇒ [L], CF 0.80 [Ah] ⇒ [L], CF 0.33 [Ck] ⇒ [L], CF 0.96 SORBAS CF 0.65 [C] ⇒ [L], CF0.96 [Bw] ⇒ [L], CF 0.95 [Bt] ⇒ [L], CF 0.96 [Ap] ⇒ [L], CF 0.85 [Ah] ⇒ [L], CF 0.66 [Ck] ⇒ [L], CF 0.93 TABERNAS CF 0.52 [C] ⇒ [L], CF0.78 [Bwk] ⇒ [L], CF 0.93 [Bw] ⇒ [L], CF 0.91 [Bt] ⇒ [L], CF 0.93 [Ap] ⇒ [L], CF 0.72 [Ah] ⇒ [M], CF0.52 [Ck] ⇒ [M], CF 0.79 VERA CF 0.25 [C] ⇒ [L], CF0.44 [Bwk] ⇒ [L], CF 0.77 [Bw] ⇒ [L], CF 0.60 [Btk] ⇒ [L], CF 0.78 [Bt] ⇒ [L], CF 0.24 [Bt] ⇒ [M],CF0.37 [Ap] ⇒ [L], CF 0.45 [Ap] ⇒ [M], CF0.14 [Ah] ⇒ [L], CF 0.05 [Ah] ⇒ [M], CF0.16 [Ah] ⇒ [H], CF 0.23 Table 6: Obtained CF in fuzzy LSDB (HorizonT ype → %OrganicCarbon) (iii) Acting prot. FAD FAR [Ck] ⇒ [L], CF 0.50 ALIAS CF 0.61 [C] ⇒ [L], CF 0.85 [Bwk] ⇒ [L], CF 0.44 [Bw] ⇒ [L], CF 0.44 [Ap] ⇒ [L], CF 0.62 [Ah] ⇒ [L], CF 0.19 [Ah] ⇒ [M], CF 0.33 [Ck] ⇒ [L], CF 0.57 PEREZ CF 0.33 [C] ⇒ [L], CF 0.66 [Bwk] ⇒ [L], CF 0.43 [Bw] ⇒ [L], CF 0.82 [Btk] ⇒ [L], CF 0.87 [Bt] ⇒ [L], CF 0.60 [Bk] ⇒ [L], CF -0.01 [Ap] ⇒ [L], CF 0.67 [Ah] ⇒ [L], CF 0.25 [Ah] ⇒ [M], CF 0.15 [Ah] ⇒ [H], CF 0.24
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vi TABLE OF CONTENTS PART 1 - DATAB
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viii TABLE OF CONTENTS A WIRELESS A
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CONFERENCE COMMITTEE Honorary Presi
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Hung, P. (AUSTRALIA) Jahankhani, H.
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Invited Papers
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2 ENTERPRISE INFORMATION SYSTEMS VI
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10 ENTERPRISE INFORMATION SYSTEMS V
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EVOLUTIONARY PROJECT MANAGEMENT: MU
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MANAGING COMPLEXITY OF ENTERPRISE I
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ASSESSING EFFORT PREDICTION MODELS
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ORGANIZATIONAL AND TECHNOLOGICAL CR
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ASAP Processes W Project Kickoff A
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since it means changing the relevan
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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Hit Rate (%) ACME-DB: AN ADAPTIVE C
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5.3.6 Effect on all Policies by Int
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ACKNOWLEDGEMENTS We would like to t
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This paper describes the data sampl
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The major limit A of the operation
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RELATIONAL SAMPLING FOR DATA QUALIT
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TOWARDS DESIGN RATIONALES OF SOFTWA
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((Brown et al., 1998), pp. 159-190,
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sive data filtering, presentation (
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• implementation changes in servi
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MEMORY MANAGEMENT FOR LARGE SCALE D
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Data Rate [bytes/sec] 1600000 14000
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E.g., DV Camcorder Camera Packets (
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Procedure CheckOptimal (n rs 1 ...n
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MEMORY MANAGEMENT FOR LARGE SCALE D
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PART 2 Artificial Intelligence and
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110 ENTERPRISE INFORMATION SYSTEMS
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Page 125 and 126: 114 ENTERPRISE INFORMATION SYSTEMS
Page 127 and 128: DYNAMIC MULTI-AGENT BASED VARIETY F
Page 169 and 170: AN EXPERIENCE IN MANAGEMENT OF IMPR
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Page 179 and 180: ANALYSIS AND RE-ENGINEERING OF WEB
Page 181 and 182: Module p0 Customer Itinerary Send I
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Page 185 and 186: • An acyclic module M is usable,
Page 187 and 188: BALANCING STAKEHOLDER’S PREFERENC
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Page 193 and 194: BALANCING STAKEHOLDER'S PREFERENCES
Page 195 and 196: A POLYMORPHIC CONTEXT FRAME TO SUPP
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Page 221 and 222: INTRUSION DETECTION SYSTEMS USING A
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Table 5: Performance Comparison of
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A USER-CENTERED METHODOLOGY TO GENE
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carries out the second phase of the
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1 1 1 1 2 PROCESS STORE ENTITY EDGE
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constraints rules. KOGGE (Ebert et
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PART 4 Software Agents and Internet
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CABA 2 L A BLISS PREDICTIVE COMPOSI
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y disables evidencing severe mental
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Figure 4: Symbols emission in DAR-H
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they evidence a generalization erro
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A METHODOLOGY FOR INTERFACE DESIGN
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and mobility loss coupled with redu
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Tradeoff: The default input is poss
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Sessions on the VABS which are held
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A CONTACT RECOMMENDER SYSTEM FOR A
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A CONTACT RECOMMENDER SYSTEM FOR A
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- "Going to the sources". The user
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Here are the matrix W and P for our
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EMOTION SYNTHESIS IN VIRTUAL ENVIRO
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theme turns out to be surprisingly
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6 FROM FEATURES TO SYMBOLS 6.1 Face
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sions are described by different em
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Electronic Imaging 2000 Conference
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to the accessibility problem for th
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Figure 3: Hierarchical View of the
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4 CONCLUSIONS AND FUTURE WORK On th
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PERSONALISED RESOURCE DISCOVERY SEA
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profile, the user defines his curre
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Abdelkafi, N. .....................
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