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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 fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty calculations for many physical parameters, probability distributions and their properties are discussed. Definitions of various terms are given and will help the practicing metrologists to grasp the subject. The book helps to establish international standards for the evaluation of the quality of raw data obtained from various laboratories for interpreting the results of various national metrology institutes in an international inter-comparisons. For the routine calibration of instruments, a new idea for the use of pooled variance is introduced. The uncertainty calculations are explained for (i) independent linear inputs, (ii) non-linear inputs and (iii) correlated inputs. The merits and limitations of the Guide to the Expression of Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included."

"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."

"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."

"Research about processes and computing is applied to answer the question of what information can and cannot be produced, and to determine the nature of this information (theoretical information science). The book also presents some of the basic processes that are used in specific domains (applied information science), such as those that generate information in areas like reasoning, the evolution of informative systems, cryptography, knowledge, natural language, and the economic value of information.Written for researchers and graduate students in information science and related fields, Information from processes details a unique information model independent from other concepts in computer or archival science, which is thus applicable to a wide range of domains. Combining theoretical and empirical methods as well as psychological, mathematical, philosophical, and economic techniques."