Micro Houses in Today’s Consumer Society

Consumption has been a phenomenon since the beginning of human existence. Today, the desire for consuming in the society increases rapidly just like the development of technology. Producers took people out of need and usage focused consuming and turned them into happiness based consumption society. This resulted in them initiating consumption madness and creating an unhappy community that has inaccessible dreams. While all of these were happening metropolises occurred as a result of industrialization, modernization and rapid urbanization. The system determined literally everything; from needs of the people to their communication, from the areas and the style they can live. While doing this, it objectified our houses that are the centers of personal space and furniture in our habitats by rationalizing them. This rationalization turned our habitats into places surrounded by non-functional objects. Compared with the past, the consumption madness caused our movement areas to narrow, in contrast to expansion of our habitats. Today, there is a tendency to minimalism to increase quality of life, usage and functionality of our habitats. This tendency's impact also directly affects architecture and interior space design. Consequently, houses becoming widespread day after day, draws attention of users and designers. People tend to increase their quality of lives with less and designers tend to create more functional, more user focused, non-directly consumption focused and sustainable habitats. These houses are economical in terms of cost and environmentalist in terms of material and size. These houses include furniture that is multifunctional and designed with less is more approach and spacious interiors giving the user an expanse. What is good about micro houses is they are capable of addressing various segments of the society. Keywords: Micro Houses, Minimalist Architecture, Urbanization, Covid-19 DOI: 10.7176/ADS/83-06 Publication date:July 31st 2020

MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors

Assuming a known degradation model, the performance of a learned image super-resolution (SR) model depends on how well the variety of image characteristics within the training set matches those in the test set. As a result, the performance of an SR model varies noticeably from image to image over a test set depending on whether characteristics of specific images are similar to those in the training set or not. Hence, in general, a single SR model cannot generalize well enough for all types of image content. In this work, we show that training multiple SR models for different classes of images (e.g., for text, texture, etc.) to exploit class-specific image priors and employing a post-processing network that learns how to best fuse the outputs produced by these multiple SR models surpasses the performance of state-of-the-art generic SR models. Experimental results clearly demonstrate that the proposed multiple-model SR (MMSR) approach significantly outperforms a single pre-trained state-of-the-art SR model both quantitatively and visually. It even exceeds the performance of the best single class-specific SR model trained on similar text or texture images.Comment: 5 pages, 4 figures, accepted for publication in IEEE ICIP 2022 Conferenc

Perception-Distortion Trade-off in the SR Space Spanned by Flow Models

Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temperature ($\tau$) of latent variables, which introduces random variations of texture among sample solutions, resulting in visual artifacts and low fidelity. In this paper, we present a simple but effective image ensembling/fusion approach to obtain a single SR image eliminating random artifacts and improving fidelity without significantly compromising perceptual quality. We achieve this by benefiting from a diverse set of feasible photo-realistic solutions in the SR space spanned by flow models. We propose different image ensembling and fusion strategies which offer multiple paths to move sample solutions in the SR space to more desired destinations in the perception-distortion plane in a controllable manner depending on the fidelity vs. perceptual quality requirements of the task at hand. Experimental results demonstrate that our image ensembling/fusion strategy achieves more promising perception-distortion trade-off compared to sample SR images produced by flow models and adversarially trained models in terms of both quantitative metrics and visual quality.Comment: 5 pages, 4 figures, accepted for publication in IEEE ICIP 2022 Conferenc

Localization of Point Sources for Systems Governed by the Wave Equation

Analytic sensing has recently been proposed for source localization from boundary measurements using a generalization of the finite-rate-of-innovation framework. The method is tailored to the quasi-static electromagnetic approximation, which is commonly used in electroencephalography. In this work, we extend analytic sensing for physical systems that are governed by the wave equation; i.e., the sources emit signals that travel as waves through the volume and that are measured at the boundary over time. This source localization problem is highly ill-posed (i.e., the unicity of the source distribution is not guaranteed) and additional assumptions about the sources are needed. We assume that the sources can be described with finite number of parameters, particularly, we consider point sources that are characterized by their position and strength. This assumption makes the solution unique and turns the problem into parametric estimation. Following the framework of analytic sensing, we propose a two-step method. In the first step, we extend the reciprocity gap functional concept to wave-equation based test functions; i.e., well-chosen test functions can relate the boundary measurements to generalized measure that contain volumetric information about the sources within the domain. In the second step-again due to the choice of the test functions-we can apply the finite-rate-of-innovation principle; i.e., the generalized samples can be annihilated by a known filter, thus turning the non-linear source localization problem into an equivalent root-finding one. We demonstrate the feasibility of our technique for a 3-D spherical geometry. The performance of the reconstruction algorithm is evaluated in the presence of noise and compared with the theoretical limit given by Cramer-Rao lower bounds

Stylechecker Plug-in for Cevelop

In design work, a styleguide defines rules and guidelines to be adhered to for achieving a uniform visual look. Styleguides as such also exist for source code. Additionally, to contributing to a visually pleasing codebase, a styleguide increases understandability and readability of source code. In many projects, coding guidelines exist and are part of the development cycle ranging from a small set of rules to a broader compilation of guidelines to be followed. Cevelop is an integrated development environment (IDE) for C++. It is developed and maintained by the Institute for Software (IFS) at HSR. Cevelop itself is based on the Eclipse C/C++ Development Tooling (CDT) project. Currently, Cevelop is lacking the feature of styleguide checking. The primary goal of the Stylechecker plug-in for Cevelop is providing the capabilities to perform styleguide checking and rule violation reporting. Furthermore, the plug-in is to offer automated resolutions wherever possible. In the scope of this project, the focus lies on covering naming conventions for three predefined styleguides: Google styleguide, Canonical styleguide and Geosoft styleguide. Additionally, users need to be able to create custom styleguides, define rules for it, change existing ones and import/export styleguides for sharing with team members. The implemented Stylechecker plug-in realizes styleguide checking as well as automated resolutions. To achieve this, the plug-in uses the abstract syntax tree provided by Eclipse CDT. Furthermore, the Stylechecker plug-in uses CDT's code analysis (Codan) framework, an integrated Eclipse CDT plug-in, providing facilities to create markers and resolutions for C++ development. In combination, checking, reporting and initiating resolutions become available. The Stylechecker plug-in allows users to compose custom styleguide rules by joining one or more expressions, defining the language elements to check the rules for and providing custom messages on reporting

RAD Enhanced Reporting Tool

Currently, applications within the Rheinmetall Air Defence corporation use a reporting library for logging via network. Applications communicate their logs to a central workstation, where logs are viewed and analysed. The core target of the new reporting tool developed during the term project can be summarized as porting the old reporting tool to a modern, user-friendly application, with new features like tabbed views and filtering capabilities. By requirement of the industry partner, Qt 5.6 was used as the GUI framework. The programming language was defined as C++11. The project was realized in two major phases: first, reimplementing all features of the old reporting tool and second, extending the application with the desired new features. During the first phase, the aspect of performance and memory management received special focus, as by requirement the tool needed to be capable of processing large amounts of logs, arriving in short intervals and remain stable and responsive 24/7. The capabilities of the Qt GUI framework in regards to those two aspects were researched thoroughly and the solutions designed accordingly. The new reporting application offers a modern, approachable tool, making previously cumbersome tasks easier. It joins log handling under one parent application and offers more control in log analysis. Before, in order to initialize analysing, two separate projects needed to be started, one, the listening server application, two, the old reporting tool application, which served more as a configurations manipulator. Furthermore, logs were displayed in simple windows without any capabilities of searching or filtering. Limitations like these made log analysis in the previous reporting tool cumbersome and confusing. Now, the two separate initial steps have been integrated into one and thus made initializing log analysis more convenient. As with the old reporting tool, the new application supports external configuration for quick start-up or workspace arrangement. Gathering the parts under one roof application provides more oversight and makes log analysis more comfortable

Social Consequences Of Residential Segregation In Ankara, Turkey.

PhDFamilies & family lifePersonal relationshipsSociologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/190887/2/7500669.pd