CASE STUDY COMPARISONS OF THE ECOLOGICAL FOOTPRINT ON SOCIAL HOUSING AFTER EARTHQUAKE

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Michael Davis ◽  
Enrique Villacis ◽  
M. Lorena Rodriguez ◽  
Cynthia Ayarza ◽  
Domenica Davila ◽  
...  
Keyword(s):  
Social Housing ◽  
Ecological Footprint ◽  
Coastal Region ◽  
Construction Process ◽  
Housing Design ◽  
First Case ◽  
Practice Approach ◽  
Investigation Process ◽  
Post Disaster

This research seeks to distinguish which factors influence the ecological footprint and what types of construction have the least environmental impact in a post-disaster social housing building. The first case study is a government social housing design, built with bamboo and concrete masonry blocks, and another design by Ensusitio, a private practice approach to social housing built with bamboo and earth. These houses were granted to victims of the April 2016 earthquake in the Ecuadorian coastal region. The investigation process was carried out based on primary research, which was used to understand how Ensusitio carried out the construction process of Meche's house and also based on a secondary investigation of government social housing. With this information, a comparison is made between them to determine which of the two has the least ecological footprint

Non-Linear Model in Architectural Design for Sustainable Social Housing: Case Study Ovča Housing Project Belgrade

2015 ◽  
Vol 40 (4) ◽  
pp. 30-36
Author(s):  
Dušan Stojanović ◽  
Pavle Stamenović
Keyword(s):  
Linear Model ◽  
Design Process ◽  
Social Housing ◽  
Architectural Design ◽  
Common Ground ◽  
Sustainable Living ◽  
Housing Design ◽  
Non Linear ◽  
Spatial Needs

The aim of this paper is to reconsider the conventional approaches in architectural design for social housing that lead to low adaptability of architecture regarding spatial needs of its inhabitants. This research explores the potential of nonlinear model in architectural design of sustainable social housing. Sustainability is commonly interpreted through categories of socio-economic availability, notwithstanding the fact that demands of contemporary living greatly exceed the scope of this definition. One of the methods to integrate sustainability into social housing design is to incorporate specific users’ needs into the design process itself. The aim is to specify the common ground for negotiation between all actors in the process. Such a platform could enable multiple options allowing flexibility and a higher level of quality, as well as the comfort of sustainable living. This design approach is developed in the case study project for Ovča social housing community in Belgrade. This project is conceived as an infrastructural system that precedes the building as a finite architecture, therefore anticipating inhabitants’ involvement in the design process. The non-linear model of architectural design is enabled trough a drawing as a tool of communication. Since it is carried out according to previously defined values, this iterative procedure establishes a specific set of outputs that can later be evaluated and modified in accordance to users’ spatial needs. Therefore, the drawing becomes a tool that allows a variety of designing processes while the most important role still belongs to the architect and the user. Such iterative design process creates preconditions that enable the inhabitants to appropriate the space of living, which legitimizes the aim to transfer the design process from conventional towards the non-linear model of architectural design.

Reframing “building back better” for post-disaster housing design: a community perspective

2016 ◽  
Vol 7 (4) ◽  
pp. 344-360 ◽  
Author(s):  
Yenny Rahmayati
Keyword(s):  
Qualitative Methodology ◽  
Way Of Life ◽  
Content Type ◽  
Housing Design ◽  
Disaster Survivors ◽  
Common Concept ◽  
The Common ◽  
Housing Reconstruction ◽  
Post Disaster

Purpose This study aims to reframe the common concept of post-disaster reconstruction “building back better”, especially in the context of post-disaster housing design. Design/methodology/approach An Aceh post-tsunami housing reconstruction project is used as a case study with qualitative methodology through in-depth interviews of selected respondents. Findings The study findings have shown that the term “building back better” is not a familiar term for housing recipients. Whichever different personal background post-disaster survivors come from, whether they are housewife, civil servant, fisherman, university student, businessman or a professional, none have ever heard this phrase. All found it hard to understand the term. This study argues that the “building back better” concept is good in policy but not working in practice. As a result, housing recipients not only were dissatisfied with their new houses but also found that the new housing configurations profoundly altered their traditional way of life. In light of these findings, the paper argues that the concept of “building back better” needs to be reframed to take account of the cultural individual and communal needs and wants of post-disaster survivors. Research limitations/implications This study discusses only one aspect of post-disaster reconstruction that is the design of housing reconstruction. Practical implications Results from this study provide a practical contribution for reconstruction actors especially designers, architects and planners. It helps them to reconsider the common concepts they have used for post-disaster reconstruction processes particularly in designing housing reconstruction projects. Originality/value This study focuses on the question of how tsunami survivors in Aceh reacted to the design of their new post-tsunami houses and what they had done themselves to make their homes a better and nicer place to live within their own cultural needs. This study also sought to understand what motivated the opinions the respondents had about the design of housing reconstruction after the tsunami in Aceh generally. In addition, the study investigated whether survivors knew the phrase and the credo of “building back better” in a post-disaster context.

Scales and Units

2018 ◽  
Author(s):  
Kathryn M. de Luna
Keyword(s):  
Language Change ◽  
Historical Linguistics ◽  
Bantu Languages ◽  
The North ◽  
First Case ◽  
Linguistic Evidence ◽  
River Region ◽  
History Of ◽  
Alternative Approaches

This chapter uses two case studies to explore how historians study language movement and change through comparative historical linguistics. The first case study stands as a short chapter in the larger history of the expansion of Bantu languages across eastern, central, and southern Africa. It focuses on the expansion of proto-Kafue, ca. 950–1250, from a linguistic homeland in the middle Kafue River region to lands beyond the Lukanga swamps to the north and the Zambezi River to the south. This expansion was made possible by a dramatic reconfiguration of ties of kinship. The second case study explores linguistic evidence for ridicule along the Lozi-Botatwe frontier in the mid- to late 19th century. Significantly, the units and scales of language movement and change in precolonial periods rendered visible through comparative historical linguistics bring to our attention alternative approaches to language change and movement in contemporary Africa.

Applications of random graphs

2017 ◽  
Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts
Keyword(s):  
Social Networks ◽  
Random Graphs ◽  
Interaction Network ◽  
Power Grids ◽  
Protein Protein Interaction ◽  
Topological Features ◽  
First Case ◽  
The Stability ◽  
Protein Protein Interaction Network

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.

Investigating the potential of redundant manipulators in narrow channels

2020 ◽  
pp. 095440622096451
Author(s):  
Ashish Singla ◽  
Jyotindra Narayan ◽  
Himanshu Arora
Keyword(s):  
Case Studies ◽  
Fuzzy Inference ◽  
Redundant Manipulators ◽  
Redundancy Resolution ◽  
Inference System ◽  
Narrow Channels ◽  
First Case ◽  
Task Priority ◽  
Patient Side

In this paper, an attempt has been made to investigate the potential of redundant manipulators, while tracking trajectories in narrow channels. The behavior of redundant manipulators is important in many challenging applications like under-water welding in narrow tanks, checking the blockage in sewerage pipes, performing a laparoscopy operation etc. To demonstrate this snake-like behavior, redundancy resolution scheme is utilized using two different approaches. The first approach is based on the concept of task priority, where a given task is split and prioritize into several subtasks like singularity avoidance, obstacle avoidance, torque minimization, and position preference over orientation etc. The second approach is based on Adaptive Neuro Fuzzy Inference System (ANFIS), where the training is provided through given datasets and the results are back-propagated using augmentation of neural networks with fuzzy logics. Three case studies are considered in this work to demonstrate the redundancy resolution of serial manipulators. The first case study of 3-link manipulator is attempted with both the approaches, where the objective is to track the desired trajectory while avoiding multiple obstacles. The second case study of 7-link manipulator, tracking trajectory in a narrow channel, is investigated using the concept of task priority. The realistic application of minimum-invasive surgery (MIS) based trajectory tracking is considered as the third case study, which is attempted using ANFIS approach. The 5-link spatial redundant manipulator, also known as a patient-side manipulator being developed at CSIR-CSIO, Chandigarh is used to track the desired surgical cuts. Through the three case studies, it is well demonstrated that both the approaches are giving satisfactory results.

scholarly journals Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Markus J. Ankenbrand ◽  
Liliia Shainberg ◽  
Michael Hock ◽  
David Lohr ◽  
Laura M. Schreiber
Keyword(s):  
Neural Networks ◽  
Sensitivity Analysis ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Cardiac Mri ◽  
Magnetic Resonance Images ◽  
Model Interpretation ◽  
First Case ◽  
Segmentation Models

Abstract Background Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only achieved in the narrow tasks networks are trained on. Performance drops dramatically when data characteristics differ from the training set properties. Moreover, neural networks are commonly considered black boxes, because it is hard to understand how they make decisions and why they fail. Therefore, it is also hard to predict whether they will generalize and work well with new data. Here we present a generic method for segmentation model interpretation. Sensitivity analysis is an approach where model input is modified in a controlled manner and the effect of these modifications on the model output is evaluated. This method yields insights into the sensitivity of the model to these alterations and therefore to the importance of certain features on segmentation performance. Results We present an open-source Python library (misas), that facilitates the use of sensitivity analysis with arbitrary data and models. We show that this method is a suitable approach to answer practical questions regarding use and functionality of segmentation models. We demonstrate this in two case studies on cardiac magnetic resonance imaging. The first case study explores the suitability of a published network for use on a public dataset the network has not been trained on. The second case study demonstrates how sensitivity analysis can be used to evaluate the robustness of a newly trained model. Conclusions Sensitivity analysis is a useful tool for deep learning developers as well as users such as clinicians. It extends their toolbox, enabling and improving interpretability of segmentation models. Enhancing our understanding of neural networks through sensitivity analysis also assists in decision making. Although demonstrated only on cardiac magnetic resonance images this approach and software are much more broadly applicable.

scholarly journals Towards a Model for Integrating Informal and Formal Learning for Children in Refugee Camps: The Example of the Lesbos School for Peace

2021 ◽  
Vol 10 (3) ◽  
pp. 111
Author(s):  
Ephrat Huss ◽  
Smadar Ben Asher ◽  
Tsvia Walden ◽  
Eitan Shahar
Keyword(s):  
Lived Experience ◽  
Single Case ◽  
Refugee Children ◽  
Refugee Camps ◽  
Arts Based Research ◽  
Whole School ◽  
School Based ◽  
Research Interviews ◽  
Post Disaster

The aim of this paper is to describe a unique, bottom-up model for building a school based on humanistic intercultural values in a post-disaster/refugee area. We think that this model will be of use in similar contexts. This single-case study can teach us about the needs of refugee children, as well as provide strategies to reach these needs with limited resources in additional similar contexts. Additionally, this paper will outline a qualitative arts-based methodology to understand and to evaluate refugee children’s lived experience of in-detention camp schools. Our field site is an afternoon school for refugee children operated and maintained by volunteers and refugee teachers. The methodology is a participatory case study using arts-based research, interviews, and observation of a school built for refugee camp children in Lesbos. Participants in this study included the whole school, from children to teachers, to volunteers and managers. The research design was used to inform the school itself, and to outline the key components found to be meaningful in making the school a positive experience. These components could be emulated by similar educational projects and used to evaluate them on an ongoing basis.

scholarly journals Novel filter bank-based cooperative spectrum sensing under practical challenges for beyond 5G cognitive radios

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Sener Dikmese ◽  
Kishor Lamichhane ◽  
Markku Renfors
Keyword(s):  
Spectrum Sensing ◽  
Filter Bank ◽  
Cooperative Spectrum Sensing ◽  
Minimum Energy ◽  
Cognitive Radios ◽  
Spectrum Management ◽  
Wireless Channel ◽  
First Case ◽  
Channel Effects

AbstractCognitive radio (CR) technology with dynamic spectrum management capabilities is widely advocated for utilizing effectively the unused spectrum resources. The main idea behind CR technology is to trigger secondary communications to utilize the unused spectral resources. However, CR technology heavily relies on spectrum sensing techniques which are applied to estimate the presence of primary user (PU) signals. This paper firstly focuses on novel analysis filter bank (AFB) and FFT-based cooperative spectrum sensing (CSS) techniques as conceptually and computationally simplified CSS methods based on subband energies to detect the spectral holes in the interesting part of the radio spectrum. To counteract the practical wireless channel effects, collaborative subband-based approaches of PU signal sensing are studied. CSS has the capability to relax the problems of both hidden nodes and fading multipath channels. FFT- and AFB-based receiver side sensing methods are applied for OFDM waveform and filter bank-based multicarrier (FBMC) waveform, respectively, the latter one as a candidate beyond-OFDM/beyond-5G scheme. Subband energies are then applied for enhanced energy detection (ED)-based CSS methods that are proposed in the context of wideband, multimode sensing. Our first case study focuses on sensing potential spectral gaps close to relatively strong primary users, considering also the effects of spectral regrowth due to power amplifier nonlinearities. The study shows that AFB-based CSS with FBMC waveform is able to improve the performance significantly. Our second case study considers a novel maximum–minimum energy detector (Max–Min ED)-based CSS. The proposed method is expected to effectively overcome the issue of noise uncertainty (NU) with remarkably lower implementation complexity compared to the existing methods. The developed algorithm with reduced complexity, enhanced detection performance, and improved reliability is presented as an attractive solution to counteract the practical wireless channel effects under low SNR. Closed-form analytic expressions are derived for the threshold and false alarm and detection probabilities considering frequency selective scenarios under NU. The validity of the novel expressions is justified through comparisons with respective results from computer simulations.

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