- Page 1 and 2: 9 th International Conference on Co
- Page 3 and 4: 9 th International Conference on Co
- Page 5 and 6: Frank Borasch 166 A Digital Plannin
- Page 7 and 8: A Framework for Scenario-Based Hydr
- Page 9 and 10: Fig. 2: Detail flowchart on the opt
- Page 11 and 12: to be able to solve a wide range of
- Page 13 and 14: acceleration. Similar results were
- Page 15 and 16: 3.4. Scenario results Two different
- Page 17 and 18: At sea-state 2 (H 1/3 = 0.8m) and s
- Page 19 and 20: NEU, W. L.; HUGHES, O.; MASON, W. H
- Page 21 and 22: 3. The software selection process T
- Page 23 and 24: o Development capacity of CAD vendo
- Page 25 and 26: • Departments / groups suited to
- Page 27 and 28: 1. Pre-processing: Pre-processing r
- Page 29 and 30: www.ssi.tu-harburg.de/doc/webseiten
- Page 31 and 32: propulsor should be higher than tha
- Page 33 and 34: The FRIENDSHIP Framework software d
- Page 35 and 36: ehaviour for both parameters. Table
- Page 37 and 38: Fig.13: Thrust oscillation for sing
- Page 39: Training Complex for Training Subma
- Page 43 and 44: In addition, the submarine’s anim
- Page 45 and 46: Fig.8: Visualization of Operation o
- Page 47 and 48: References DORRI, M.K.; KORCHANOV,
- Page 49 and 50: The selection operator allows the t
- Page 51 and 52: This paper uses as case study the m
- Page 53 and 54: indicates the Pareto frontier with
- Page 55 and 56: Centre Girder.Max 29 28 Centre Gird
- Page 57 and 58: Though a holistic approach to the s
- Page 59 and 60: 2.5 Global Criterion Optima Enginee
- Page 61 and 62: sections in order to obtain compati
- Page 63 and 64: Max solution has been obtained for
- Page 65 and 66: Abstract Operator Decision Modeling
- Page 67 and 68: Rule 6: With the MOAS sonar (Mine a
- Page 69 and 70: 4.2. Definition: Extension The use
- Page 71 and 72: We obtain two extensions, which are
- Page 73 and 74: - We define the defaults D: ¬ dete
- Page 75 and 76: 7. Conclusion. The default logic al
- Page 77 and 78: partitioned into two sets as follow
- Page 79 and 80: 3. Two-stage stochastic programming
- Page 81 and 82: drops and the two-stage stochastic
- Page 83 and 84: Fig. 6: Unit transportation cost as
- Page 85 and 86: Fig. 10: Unit transportation cost a
- Page 87 and 88: Acknowledgements This work has been
- Page 89 and 90: Loan model: loan = 0.8 ship cost ra
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The effect of analyses with uncerta
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3.3. Requirements to the system Whe
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There are three design plans (1), (
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(a) (b) (c) Table III: Solutions fr
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Abstract Effects of Uncertainty in
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ε is a number with G\U(0,σ) and [
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Increasing Sigma Time Histories 1 0
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5.1. Space # 040: Galley and Sculle
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5.4. Long Term Study of Optimizatio
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RUN Fitness Min. ZD Avg. ZD Min. SP
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RUN Fitness Min ZD Avg ZD Min SP Av
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The Challenge in Hull Structure Bas
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early design stages. The main advan
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Profile definition is mainly based
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Fig. 7: Example of an automatically
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6.3 Other output One of the advanta
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welding and painting are additional
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To overcome these issues, a model w
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lightweight, hydrostatic data and t
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This graph yields the expected resu
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OERS, B.J. Van; STAPERSMA, D.; HOPM
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Size optimization changes only expl
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3.2. Topology Optimization for Conc
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meshed with shell elements and rema
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Trajectory Design for Autonomous Un
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drastically since it determines a l
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assumptions, the inertia matrix (in
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For each of these missions, we will
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more powerful than for the first tw
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For mission 3, using the first thru
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References BREIER, J.A.; RAUCH, C.G
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wastage from the presence of corros
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The MINOAS system integrates a set
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significant improvements over appro
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over the 3D CAD model of the area u
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through porous materials (see Stauf
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obustness and reliability in challe
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ØSTERRGAARD, E. H.; MATARIC, M. J.
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2 Tool integration DigiMAus integra
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Fig. 4 : Navisworks visualization i
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2.4 Office and other Visualization
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2.7 Control in 3D In this perspecti
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2.10 Method documentation The metho
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Clifetime Cdevelopment Csupport n :
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6. Why Lego Bricks? The three archi
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Specific own platform plug-ins are
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process moves from global design ac
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Data correctness and consistency ch
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Fig.4: System Architecture Once the
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7. Rule Based Processing Rule based
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The editor component is required on
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Geneva. ISO 215 (2004), Industrial
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2. Modern product model - Solid bas
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The built-in output formats include
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3.3. Global loads For the purposes
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Fig. 6: First eigen modes of a crud
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Abstract Rule-Based Resource Alloca
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Fig.2: User groups in the productio
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4 Rule-based approach 4.1 Rule defi
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necessity in the winter. These outd
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Fig.6: Decision tree for the space
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Abstract Combining Artificial Neura
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x log sig( x) = , (12) 1− − x e
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the simulated annealing algorithm,
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ecause the relation between speed a
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Developing of a Computer System Aid
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f γ A = f µ , (2) Fig. 2: Oceans
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calculation methods of the phenomen
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In a similar way can be expressed t
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− the relative resistance increas
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a) 1,0 P VE [-] 0,8 0,6 0,4 0,90 0,
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For the so defined service margin w
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Data Mining to Enhance the Throughp
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maneuvering time and according to w
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The author emphasize that reality i
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time intervals was not appropriate
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The Role of IT in Revitalizing Braz
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The EAS strategy is to use the Petr
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7. Speed to Proficiency In order to
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Practical Applications of Design fo
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Minimize Fabrication / Assembly Com
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Fig. 3: Example of Minor Bulkhead u
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5.2 Improved Practice Fig. 7: Accur
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many constraints on the resulting s
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Modeling Complex Vessels for Use in
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The initial position values for the
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means to get an insight into the sy
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variables. The shape of the hull is
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the free space available above the
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noise or vibration, separation of h
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Furthermore the approach to the imp
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Optimization-Based Approach to Rati
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• Refine or ‘fine-tune’ exist
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elative positions between objects.
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New objective scores for the design
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5.3 Baseline Design Selection Fig.4
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distance in the max-min problem. If
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Improvement of Interoperability bet
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HATLAPA models (Fig.3) are more com
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10. Support by VSM and VDMA (associ
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(DBB) approach, are restricted by t
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3.1.1. A process for employing the
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(a) (b) (c) (d) Fig.3: Option Explo
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Fig.7: Max. length vs. total displa
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Fig.9: Number of Combined Float-Mov
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ather than the normal approach in w
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ANDREWS, D.J., PAPANIKOLAOU, A; ERI
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2. Aspects of Production Simulation
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4.1 Data structure As the goal of t
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and used engineering tools showed d
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Utilization of Integrated Design an
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The right side in Fig. 2 illustrate
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Fig. 6: Initial design of hopper an
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In most cases, it is desired to app
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Interactive Hull Form Transformatio
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3. Modern Hull Form Representation
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introducing a knuckle, Fig. 3. Rule
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P 0 P i P’ 0 ) P’ i P′= P + i
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1. The initial selected vertices ar
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In other cases, it may be necessary
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face must be extended to introduce
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Fig 13: A prototype of the intended
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Abstract Aerodynamic Optimization o
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commonly used in wind tunnel tests,
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Schmode (2002) applied a RNG k-ε m
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Table II presents the properties of
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Fig.10: Comparison of exhaust conce
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5.2. Selected results In order to o
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of a zoomed in region, namely a meg
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performance. The derivation of the
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each agent can always apply rule #1
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With four vehicles the area that ca
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References AKYILDIZ, I.F.; POMPILI,
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However, there is no global optimum
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are adjusted. The calculations are
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Fig. 3: Deep water trim curve for m
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consumption is analysed over relati
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3.2 Benefits for crew and ship mana
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A 3D Packing Approach for the Early
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of these changes. Subsequently, Sec
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• Soft object. Soft objects also
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such that the overlapping part is r
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• Connection object. Connection o
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main difference is that the topside
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Two objectives were maximised: pack
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ASMARA, A.; NIENHUIS,U. (2006), Aut
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Fig.1: General arrangement of the t
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Group Steady-state modeling Group A
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Fig.7: Architecture of Cascade-forw
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2.2.1. Calculation of steady state
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Fig.15: Scatter plot of model outpu
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Because of the usage of steady stat
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Nomenclature c coefficient & fit-fa
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Fig.1: Petroglyph of, possibly, a c
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The lack of a graphical user interf
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3.3. CAD supported logical modellin
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often used in the ship industry, bu
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7.2. Logical components Logical com
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So, input facilities are an integra
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A Decision Support Framework for th
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Some measures will change the fuel
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The re-active technical abatements
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adding water into the chamber. The
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selection of air emission controls
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I = I ∩ I ∩ I and I ⊂ I VOA V
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The objective function in an optimi
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MALLACH, E.G. (1994), Understanding
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etween Kristiansand in Norway and H
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validation dataset. In a recent ser
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(a) (b) Fig. 6: IR corridor test (a
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Fig.9: Number of passengers in each
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4. Conclusions Two passenger ship a
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positive effects on the energy effi
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higher fuel saving potentials and a
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For vessels with azimuthing pods in
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4. Use Case Examples The methodolog
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4.5. Losses and Load Distribution T
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Fig. 7: Mission tab The software pr
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The methodology thus places itself
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Development of a Methodology for Ca
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2.2 Process Driver Fig. 1: Processe
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Fig. 4 illustrates the product info
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Reconstruct calculation An addition
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References BENTIN, M.; SMIDT, F.; P
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While the path for the integration
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ultimately, zero in on the best des
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Below, the subject of collaboration
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1 P opt (C*) C opt (P*) 0 C* 0 1 Fi
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Most importantly: design constraint
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include, for example 5 : z 1 1 = 1/
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Z 1 , which is in this figure is sh
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It can be concluded that the goal o
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Behavior Models can be built from t
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GOUGOULIDIS, G. (2008), The Utiliza
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This procedure can be regarded as a
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corrosion, coating, deformation, cr
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detect an indication of a crack? Wh
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Product Data Management is a concep
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Project Part Instances is a relatio
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The starting point of the developme
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Abstract Requirements of a Common D
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Requirements management or system e
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However the industry has still not
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When design offices begin creating
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Fig. 5: Ship documentation as manag
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Although engineering objects are th
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Fig. 8: Example of UUID as implemen
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Abdel-Maksoud 28 Abramowski 213,221