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"This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge."

"This book constitutes the refereed post-proceedings of the 10th IFIP WG 2.5 Working Conference on Uncertainty Quantification in Scientific Computing, WoCoUQ 2011, held in Boulder, CO, USA, in August 2011. The 24 revised papers were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections : UQ need: risk, policy, and decision making, UQ theory, UQ tools, UQ practice, and hot topics. The papers are followed by the records of the discussions between the participants and the speaker."

"Pada penelitian ini dikembangkan sebuah perangkat lunak yang dapat digunakan untuk melakukan perhitungan ketidakpastian aktivitas dari citra 3-Dimensi hasil pemindaian SPECT. Perangkat lunak ini melakukan kuantifikasi count rate dari citra 3-Dimensi menjadi nilai aktivitas dan nilai ketidakpastian aktivitas. Algoritma dirancang dengan melakukan propagasi ketidakpastian menggunakan the law of propagation uncertainty untuk mengkarakterisasi penyebaran sumber kesalahan pada faktor kalibrasi, count Rate, dan Recovery Coefficient. Penerapan analisis ketidakpastian dapat meningkatkan validitas hasil dosimetri dan dapat membantu mengidentifikasi dan mengurangi kesalahan yang bertujuan untuk meningkatkan kemungkinan pengamatan dosis sebenarnya. Menentukan nilai ketidakpastian penting untuk setiap parameter yang diukur untuk menghindari adanya overdose treatment dan underdose treatment yang diberikan untuk pasien. Perangkat lunak yang dirancang menggunakan Bahasa pemrograman MATLAB. Validasi dilakukan dengan membandingkan hasil kuantifikasi recovery coefficient oleh perangkat lunak dengan hasil referensi pada penelitian Gear et al.,2018. Hasil kuantifikasi citra pada penelitian ini berupa aktivitas dan ketidakpastian aktivitas pada organ right kidney sebesar (28,70±18,69%), (31,32±17,14%), (37,35±14,35%), (29,82±17,99%) dan pada organ left kidney (30,03±17,85%), (45,41±11,81%), (37,17±14.44%), (30,02±17,86%) aktivitas yang didapatkan berupa satuan MBq.

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In this research, a software is developed that can be used to calculate the activity uncertainty of 3-Dimensional SPECT scanned images. This software performs quantificationcount ratefrom 3-Dimensional image into activity value and activity uncertainty value. The algorithm is designed by performing uncertainty propagation usingthe law of propagation uncertainty to characterize the spread of the error source on the calibration factor, count rate, and Recovery Coefficient. The application of uncertainty analysis can increase the validity of dosimetry results and can help identify and reduce errors in order to increase the likelihood of true dose observations. Determine the value of the important uncertainty for each measured parameter to avoid the presence ofoverdose treatment and underdose treatment given to the patient. Software designed using the MATLAB programming language. Validation is done by comparing the results of quantification recovery coefficient by software with reference results by Gear et al., 2018. The results of image quantification in this study are in the form of activity and uncertainty of activity in organs right kidney by (28.70±18.69%), (31.32±17.14%), (37.35±14.35%), (29.82±17.99%) and in left kidney (30.03±17.85%), (45.41±11.81%), (37.17±14.44%), (30.02±17.86%) the activity obtained is in MBq units."

"Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes.Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises.This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters."

"No part of this book may be reproduced, stored in a retrieval system, transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without either the prior written permission of the publisher or a licence permitting restricted copying issued in the UK by The Copyright Licensing Agency and in the USA by The Copyright Clearance Center. Any opinions expressed in the chapters are those of the authors. Whilst Emerald makes every effort to ensure the quality and accuracy of its content, Emerald makes no representation implied or otherwise, as to the chapters’ suitability and application and disclaims any warranties, express or implied, to their use."