First published in Japan in 1983, this book is now a classic in modern Japanese literary studies. Covering an astonishing range of texts from the Meiji period (1868–1912), it presents sophisticated analyses of the ways that experiments in literary language produced multiple new—and sometimes revolutionary—forms of sensibility and subjectivity. Along the way, Kamei Hideo carries on an exte…
In Networked Control Systems (NCS), components of a control loop are connected by data networks that may introduce time-varying delays and packet losses into the system, which can severly degrade control performance. Hence, this book presents the newly developed S-LQG (Sequence-Based Linear Quadratic Gaussian) controller that combines the sequence-based control method with the well-known LQG ap…
Nigeria is a country shaped by internal diversity and transnational connections, past and present. Leading Nigerian writers from Chinua Achebe, Amos Tutuola and Wole Soyinka to Chimamanda Ngozi Adichie and Teju Cole have portrayed these Nigerian issues, and have also written about some of the momentous events in Nigerian history. Afropolitan Horizons discusses their work alongside other novelis…
Examines the exercise of power in the Stalinist music world as well as the ways in which composers and ordinary people responded to it. A comparative inquiry into the relationship between music and politics in the German Democratic Republic and Poland from the aftermath of World War II through Stalin's death in 1953, concluding with the slow process of de-Stalinization in the mid-to-late 1990s.…
Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the bu…
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In o…
This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimizati…
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book…
This book is based on the 2014 Special Issue 124(3) of Climatic Change. It brings together 16 key papers presented at, or produced, subsequent to the 2010 (3rd) International Workshop on Uncertainty in Greenhouse Gas (GHG) Inventories. The Workshop was jointly organized by the Lviv Polytechnic National University, Ukraine; the Systems Research Institute of the Polish Academy of Sciences; and th…
This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making w…