Managing problem indoor environments by embracing subjective data: A case study for federal facilities

2004 ◽  
Vol 15 (2) ◽  
pp. 109-124 ◽  
Author(s):  
Linda Thomas-Mobley ◽  
Rita Oberle
Keyword(s):  
Indoor Environments ◽  
Subjective Data

Virtual Sensing of Temperatures in Indoor Environments: A Case Study

2020 ◽  
Author(s):  
Andrea Brunello ◽  
Martin Kraft ◽  
Angelo Montanari ◽  
Federico Pittino ◽  
Andrea Urgolo
Keyword(s):  
Indoor Environments ◽  
Virtual Sensing

scholarly journals The challenge of creating age-friendly indoor environments in a high-density city: Case study of Hong Kong’s care and attention homes

2020 ◽  
Vol 30 ◽  
pp. 101280 ◽  
Author(s):  
Yiqi Tao ◽  
Zhonghua Gou ◽  
Zhongqi Yu ◽  
Jiayan Fu ◽  
Xiaowei Chen
Keyword(s):  
High Density ◽  
Indoor Environments

scholarly journals A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 361-365
Author(s):  
A. Mascitelli ◽  
M. Ravanelli ◽  
S. Mattoccia ◽  
C. Berardocco ◽  
A. Mazzoni
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Positive Impact ◽  
Resource Planning ◽  
Indoor Navigation ◽  
Indoor Environments ◽  
University Of Rome ◽  
Available Information

Abstract. Indoor mapping is an essential process in several applications such as the visualization of space and its utilization, security and resource planning, emergency planning and location-based alerts and, last but not least, indoor navigation. In this work, a completely free and open-source (FOS) approach to map indoor environments, and to navigate through them, is presented. Our tests were carried out within Sapienza University of Rome public buildings; in detail, Letters and Philosophy faculty and Engineering faculty indoor environments were mapped. To reach this goal, only open source software such as Quantum GIS (QGIS) and open-source platforms like Open Street Map (OSM) and its indoor viewer, Open Level Up (OLU) were adopted. A database of indoor environments of the two faculties, completely compatible with OLU, was created through QGIS. In this way, a public territorial information system of classrooms, offices and laboratories is accessible to everyone who can, hence, add or modify the information, following the principle of crowdsourcing and of Volunteered Geographic Information (VGI). The developed procedure is now standard and its outputs accepted by the OSM community. Hence, the long-term developments of this project are the proposal for the volunteered and cooperative indoor mapping and design of strategic buildings and infrastructures (hospitals, schools, public offices, shopping centers, stations, airports etc.), starting from the available information (indoor layouts) and knowledge acquired through experience of people who normally work inside them and/or visit them frequently. In this context it is possible to state that the development of VGI for internal maps for strategic buildings, infrastructures and denied GNSS environments, not only supports and improves internal and external navigation without interruption, but can also have a significant positive impact on security and emergency management.

scholarly journals Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study (Preprint)

2020 ◽  
Author(s):  
Shiri Sadeh-Sharvit ◽  
Steven D Hollon
Keyword(s):  
Language Processing ◽  
Behavioral Treatment ◽  
Clinical Decision Making ◽  
Patient Adherence ◽  
Digital Health ◽  
Behavioral Health Care ◽  
Depression And Anxiety ◽  
Subjective Data ◽  
Measurement Based Care

UNSTRUCTURED Regular assessment of the effectiveness of behavioral interventions is a potent tool for improving their relevance to patients. However, poor provider and patient adherence characterize most measurement-based care tools. Therefore, a new approach for measuring intervention effects and communicating them to providers in a seamless manner is warranted. This paper provides a brief overview of the available research evidence on novel ways to measure the effects of behavioral treatments, integrating both objective and subjective data. We highlight the importance of analyzing therapeutic conversations through natural language processing. We then suggest a conceptual framework for capitalizing on data captured through directly collected and nondisruptive methodologies to describe the client’s characteristics and needs and inform clinical decision-making. We then apply this context in exploring a new tool to integrate the content of therapeutic conversations and patients’ self-reports. We present a case study of how both subjective and objective measures of treatment effects were implemented in cognitive-behavioral treatment for depression and anxiety and then utilized in treatment planning, delivery, and termination. In this tool, called Eleos, the patient completes standardized measures of depression and anxiety. The content of the treatment sessions was evaluated using nondisruptive, independent measures of conversation content, fidelity to the treatment model, and the back-and-forth of client-therapist dialogue. Innovative applications of advances in digital health are needed to disseminate empirically supported interventions and measure them in a noncumbersome way. Eleos appears to be a feasible, sustainable, and effective way to assess behavioral health care.

scholarly journals Accurate indoor positioning system based on modify nearest point technique

2022 ◽  
Vol 12 (2) ◽  
pp. 1593
Author(s):  
Omar Ibrahim Mustafa ◽  
Hawraa Lateef Joey ◽  
Noor Abd AlSalam ◽  
Ibrahim Zeghaiton Chaloob
Keyword(s):  
Indoor Localization ◽  
Signal Strength ◽  
Real Data ◽  
Reference Points ◽  
Positioning System ◽  
Indoor Environments ◽  
Nearest Point ◽  
The Impact ◽  
Indoor Positioning System

Wireless fidelity (Wi-Fi) is common technology for indoor environments that use to estimate required distances, to be used for indoor localization. Due to multiple source of noise and interference with other signal, the receive signal strength (RSS) measurements unstable. The impression about targets environments should be available to estimate accurate targets location. The Wi-Fi fingerprint technique is widely implemented to build database matching with real data, but the challenges are the way of collect accurate data to be the reference and the impact of different environments on signals measurements. In this paper, optimum system proposed based on modify nearest point (MNP). To implement the proposal, 78 points measured to be the reference points recorded in each environment around the targets. Also, the case study building is separated to 7 areas, where the segmentation of environments leads to ability of dynamic parameters assignments. Moreover, database based on optimum data collected at each time using 63 samples in each point and the average will be final measurements. Then, the nearest point into specific environment has been determined by compared with at least four points. The results show that the errors of indoor localization were less than (0.102 m).

scholarly journals Intensity Data Correction for Long-Range Terrestrial Laser Scanners: A Case Study of Target Differentiation in an Intertidal Zone

2019 ◽  
Vol 11 (3) ◽  
pp. 331 ◽  
Author(s):  
Kai Tan ◽  
Jin Chen ◽  
Weiwei Qian ◽  
Weiguo Zhang ◽  
Fang Shen ◽  
...  
Keyword(s):  
Intertidal Zone ◽  
Incidence Angle ◽  
Spectral Characteristics ◽  
Laser Scanner ◽  
Indoor Environments ◽  
Intensity Data ◽  
Improved Method ◽  
Long Distance ◽  
Target Characteristics

The intensity data recorded by a terrestrial laser scanner (TLS) contain spectral characteristics of a scanned target and are mainly influenced by incidence angle and distance. In this study, an improved implementable method is proposed to empirically correct the intensity data of long-distance TLSs. Similar to existing methods, the incidence angle–intensity relationship is estimated using some reference targets scanned in the laboratory. By contrast, due to the length limit of indoor environments and the laborious data processing, the distance–intensity relationship is derived by selecting some natural homogeneous targets with distances covering the entire distance scale of the adopted long-distance TLS. A case study of intensity correction and point cloud classification in an intertidal zone in Chongming Island, Shanghai, China, is conducted to validate the feasibility of the improved method by using the intensity data of a long-distance TLS (Riegl VZ-4000). Results indicate that the improved method can accurately eliminate the effects of incidence angle and distance on the intensity data of long-distance TLSs; the coefficient of variation of the intensity data for the targets in the study intertidal zone can be reduced by approximately 54%. The classification results of the study intertidal zone show that the improved method can effectively eliminate the variations caused by the incidence angle and distance in the original intensity data of the same target to obtain a corrected intensity that merely depends on target characteristics for improving classification accuracy by 49%.

scholarly journals DESIGNING SUSTAINABLE LEARNING ENVIRONMENTS: LOWERING ENERGY CONSUMPTION IN A K-12 FACILITY

2011 ◽  
Vol 6 (4) ◽  
pp. 112-137 ◽  
Author(s):  
Yong Han Ahn ◽  
Young Oh Choi ◽  
Bae Won Koh ◽  
Annie R. Pearce
Keyword(s):  
Energy Consumption ◽  
Learning Environments ◽  
Sustainable Design ◽  
Indoor Environments ◽  
Decision Strategy ◽  
Design Strategies ◽  
Bottom Line ◽  
Sustainable Building ◽  
K 12

The construction industry is embracing sustainable building practices that boost the “triple bottom line”, namely the building's ecological, social, and financial performance. Since more than 55 million US students spend a significant part of their day in K-12 schools, it is vital that these facilities should provide healthy, comfortable, and productive learning environments. Here we present an in-depth literature review of how educational facilities affect student school performance, comfort, and health, and we examine the role of sustainable design and construction strategies in influencing the physical learning environment in schools. Significant barriers to implementing sustainable strategies are examined, particularly the first cost premium of a sustainable building. A systematic decision strategy is described that incorporates sustainable design strategies, lowering energy consumption and improving indoor environments. A case study describes the process of incorporating sustainable strategies in a K-12 education facility in North Carolina to lower annual energy consumption and greenhouse gas emissions. Ways to reduce the first cost premium and minimize operating costs over the facility's life while providing healthy and comfortable learning environments for students and teachers are discussed. The case study school also functions as an experimental learning tool for teaching sustainability to K-12 students, having the potential to improve their attitudes and behavior with respect to sustainability.

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