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Abstrak :
This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact. Therefore, knowing only the nominal values of experimentally measured or computed quantities is insufficient for applications, particularly since the respective experimental and computed nominal values seldom coincide. In the authors view, the objective of predictive modeling is to extract best estimate values for model parameters and predicted results, together with best estimate uncertainties for these parameters and results. To achieve this goal, predictive modeling combines imprecisely known experimental and computational data, which calls for reasoning on the basis of incomplete, error-rich, and occasionally discrepant information.

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ABSTRAK
Permasalahan kondisi tata guna lahan DAS Ciliwung dalam kurun waktu 10 tahun terakhir mengalami degradasi lingkungan sebesar 7,14 0,7 per tahun Bhakti, 2015 . Implikasi perubahan tata guna lahan suatu DAS mengakibatkan sumber daya air terganggu, yaitu dapat menurunkan resapan air ke dalam tanah dan meningkatkan limpasan permukaan. Tujuan penelitian ini menganalisa pengaruh perubahan tata guna lahan terhadap hidrograf banjir pada Sub-DAS Ciliwung Tengah hingga Pintu Air Manggarai dengan memperhitungkan karakteristik sempadan sungai dan diskretisasi spasial dengan menggunakan model hidrologi HEC-GeoHMS. Data inflow dari debit Bendung Katulampa tahun 2017, sedangkan data outflow menggunakan debit Pintu Air Manggarai tahun 2017. Metode analisa dengan 3 skenario yaitu skenario 1 stream threshold area 174,39 km2 menghasilkan 1 sub-DAS, skenario 2 stream threshold area 25 km2 menghasilkan 3 Sub-DAS dan skenario 3 stream threshold area 15 km2 menghasilkan 9 Sub-DAS. Debit puncak hasil simulasi pada skenario 1 sebesar 142,80 m3/dt, skenario 2 sebesar 142,50 m3/dt dan skenario 3 sebesar 135,6 m3/dt. Dari ketiga skenario, skenario 3 yang lebih mendekati data observasi dengan nilai koefisien Efisiensi Nash-Sutcliffe NSE 0,764. Selanjutnya skenario 3 digunakan untuk menghitung hidrograf banjir dengan menggunakan peta RTRW, dihasilkan debit puncak di Pintu Air Manggarai kala ulang 2 tahun sebesar 465,5 m3/dt, kala ulang 5 tahun sebesar 612,7 m3/dt dan kala ulang 10 tahun sebesar 722,6 m3/dt. Semakin kecil diskretisasi spasial, semakin banyak Sub-DAS yang di delineasi dan semakin banyak reach yang dianalisa, sehingga semakin kecil bentangan dan detail karakristik sempadan sungai yang diamati yang dapat mempengaruhi nilai koefisien kekasaran saluran n Manning . Oleh karena itu, semakin kecil diskretisasi spasial Sub DAS, maka akan semakin menurunkan debit puncak banjir dan memperpanjang waktu puncak banjir.

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ABSTRACT
The problem of Ciliwung Watershed Landuse condition in the last 10 years has environmental degradation of 7.14 0.7 per year Bhakti, 2015 . The implications of land use change in a watershed result in disturbed water resources, which can decrease water absorption into the soil and increase surface runoff. The aims of this study are to analyze the effect of land use change on flood hydrograph in Middle Ciliwung Sub watershed to Manggarai Weir by taking into account the characteristics of riparian and spatial discretization using HEC GeoHMS hydrological model. Inflow data from discharge of Katulampa Weir in 2017, while outflow data using Manggarai Weir discharge in 2017. The analysis method with 3 scenarios namely scenario 1 stream threshold area 174,39 km2 yield 1 sub watershed, scenario 2 stream threshold area 25 km2 yield 3 Sub watersheds and scenario 3 stream threshold area 15 km2 yielding 9 Sub watershed. The peak discharge simulation result in scenario 1 is 142,80 m3 s, scenario 2 is 142,50 m3 s and scenario 3 is 135,6 m3 s. From the three scenarios, scenario 3 is closer to the observation data with the value of the Nash Sutcliffe Efficiency coefficient NSE 0,764. Further scenario 3 is used to calculate the flood hydrograph using the Land Use Plan map, resulting in peak discharge at the Manggarai Weir when the 2 year return period is 465.5 m3 s, 5 year return period is 612,7 m3 s and 10 years return period is 722,6 m3 s. The smaller spatial discretization, the more delineated sub watersheds and the more reaches being analyzed, the smaller the expanse and the observed limits of riparian that can affect the value of the roughness coefficient n Manning . Therefore, the smaller spatial discretization of sub watershed, the more it will decrease the peak flood discharge and extend peak time.

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ABSTRACT
This paper presents the small-signal modeling of a Single-Ended Primary Inductor Converter power stage operating in discontinuous conduction mode using the sampled-data modeling technique. In addition, two algebraic manipulating features are revealed; the simpler periodic solution determination by the concept of Volt-Second and Capacitor-Charge balance, and the replacement of the expression involving the singular matrix by the equivalent function with the s-domain matrix. Four pulse transfer functions are derived from the model: the smallsignal input-to-output voltage pulse transfer function, the small-signal duty duration-to-output voltage pulse transfer function, the input-to-output voltage pulse transfer function, and the duty duration-to-output voltage pulse transfer function. The model verification is analyzed by the simulation results. The response sequences from the pulse transfer functions oscillate by the same phase and frequency to the one from the simulation with slightly peak amplitude differences, confirming the validity of the acquired pulse transfer functions.

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This book explores various digital representation strategies that could change the future of wooden architectures by blending tradition and innovation. Composed of 61 chapters, written by 153 authors hailing from 5 continents, 24 countries and 69 research centers, it addresses advanced digital modeling, with a particular focus on solutions involving generative models and dynamic value, inherent to the relation between knowing how to draw and how to build. Thanks to the potential of computing, areas like parametric design and digital manufacturing are opening exciting new avenues for the future of construction. The books chapters are divided into five sections that connect digital wood design to integrated approaches and generative design; to model synthesis and morphological comprehension; to lessons learned from nature and material explorations; to constructive wisdom and implementation-related challenges; and to parametric transfigurations and morphological optimizations.