scholarly journals Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction Using Random Forest Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Grigore Stamatescu ◽  
Claudia Chitu
Keyword(s):  
Percentage Error ◽  
Occupancy Estimation ◽  
Occupant Comfort ◽  
Improved Performance ◽  
Thermopile Sensor ◽  
Rich Data ◽  
Occupancy Prediction ◽  
Building Occupancy ◽  
Algorithm Implementation

Sensing and predicting occupancy in buildings is an important task that can lead to significant improvements in both energy efficiency and occupant comfort. Rich data streams are now available that allow for machine learning-based algorithm implementation of direct and indirect occupancy estimation. We evaluate ensemble models, namely, random forests, on data collected from an 8 × 8 PIR matrix thermopile sensor with the dual goal of predicting individual cell temperature values and subsequently detecting the occupancy status. Evaluation of the method is based on a real case study deployed in an IT Hub in Bucharest, for which we have collected over three weeks of ground data, analyzed, and used it in order to predict occupancy in a room. Results show a 2–4% mean absolute percentage error for the temperature prediction and > 99% accuracy for a three-class model to detect human presence. The resulting outputs can be used by predictive building control models to optimize the commands to various subsystems. By separating the specific deployment from the system architecture and data structure, the application can be easily translated to other usage profiles and built environment entities. As compared to vision-based systems, our solution preserves privacy with improved performance when compared to single PIR or indirect estimation.

scholarly journals Ekstraksi Informasi Halaman Web Menggunakan Pendekatan Bootstrapping pada Ontology-Based Information Extraction

2015 ◽  
Vol 9 (2) ◽  
pp. 111 ◽  
Author(s):  
Erma Susanti ◽  
Khabib Mustofa
Keyword(s):  
Information Extraction ◽  
Language Processing ◽  
Semantic Content ◽  
Extraction Process ◽  
Web Pages ◽  
Structured Information ◽  
Improved Performance ◽  
Types Of Information ◽  
Unstructured Information

AbstrakEkstraksi  informasi  merupakan suatu bidang ilmu untuk pengolahan bahasa alami, dengan cara mengubah teks tidak terstruktur menjadi informasi dalam bentuk terstruktur. Berbagai jenis informasi di Internet ditransmisikan secara tidak terstruktur melalui website, menyebabkan munculnya kebutuhan akan suatu teknologi untuk menganalisa teks dan menemukan pengetahuan yang relevan dalam bentuk informasi terstruktur. Contoh informasi tidak terstruktur adalah informasi utama yang ada pada konten halaman web. Bermacam pendekatan untuk ekstraksi informasi telah dikembangkan oleh berbagai peneliti, baik menggunakan metode manual atau otomatis, namun masih perlu ditingkatkan kinerjanya terkait akurasi dan kecepatan ekstraksi. Pada penelitian ini diusulkan suatu penerapan pendekatan ekstraksi informasi dengan mengkombinasikan pendekatan bootstrapping dengan Ontology-based Information Extraction (OBIE). Pendekatan bootstrapping dengan menggunakan sedikit contoh data berlabel, digunakan untuk memimalkan keterlibatan manusia dalam proses ekstraksi informasi, sedangkan penggunakan panduan ontologi untuk mengekstraksi classes (kelas), properties dan instance digunakan untuk menyediakan konten semantik untuk web semantik. Pengkombinasian kedua pendekatan tersebut diharapkan dapat meningkatan kecepatan proses ekstraksi dan akurasi hasil ekstraksi. Studi kasus untuk penerapan sistem ekstraksi informasi menggunakan dataset “LonelyPlanet”. Kata kunci—Ekstraksi informasi, ontologi, bootstrapping, Ontology-Based Information Extraction, OBIE, kinerja Abstract Information extraction is a field study of natural language processing by converting unstructured text into structured information. Several types of information on the Internet is transmitted through unstructured information via websites, led to emergence of the need a technology to analyze text and found relevant knowledge into structured information. For example of unstructured information is existing main information on the content of web pages. Various approaches  for information extraction have been developed by many researchers, either using manual or automatic method, but still need to be improved performance related accuracy and speed of extraction. This research proposed an approach of information extraction that combines bootstrapping approach with Ontology-Based Information Extraction (OBIE). Bootstrapping approach using small seed of labelled data, is used to minimize human intervention on information extraction process, while the use of guide ontology for extracting classes, properties and instances, using for provide semantic content for semantic web. Combining both approaches expected to increase speed of extraction process and accuracy of extraction results. Case study to apply information extraction system using “LonelyPlanet” datasets. Keywords— Information extraction, ontology, bootstrapping, Ontology-Based Information Extraction, OBIE, performance

Methodology for assessment of public health preparedness and response synergies between institutional authorities and the community

2020 ◽  
Author(s):  
Daniel H. de Vries ◽  
John Kinsman ◽  
Judit Takacs ◽  
Svetla Tsolova ◽  
Massimo Ciotti
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Methodological Approach ◽  
Effective Means ◽  
Field Work ◽  
Lessons Learned ◽  
Outbreak Response ◽  
Study Approach ◽  
Rich Data

Abstract Background: This paper describes a participatory methodology that supports investigation of the collaboration between communities affected by infectious disease outbreak events and relevant official institutions. The core principle underlying the methodology is the recognition that synergistic relationships, characterised by mutual trust and respect, between affected communities and official institutions provide the most effective means of addressing outbreak situations. Methods: The methodological approach and lessons learned were derived from four qualitative case studies including (i) two tick-borne disease events: Crimean-Congo haemorrhagic fever in Spain, and tick-borne encephalitis in the Netherlands (2016); and (ii) two outbreaks of acute gastroenteritis (norovirus in Iceland, 2017, and verocytotoxin-producingEscherichia coli [VTEC] in Ireland, 2018). These studies were conducted in collaboration with the respective national public health authorities in the affected countries by the European Centre for Disease Prevention and Control (ECDC). Results: An after-event qualitative case study approach was taken using mixed methods. Lessons highlight the critical importance of collaborating with national focal points during preparation and planning, and interviewer reflexivity during fieldwork. Field work for each case study was conducted over one working week, which although limiting the number of individuals and institutions involved, still allowed for rich data collection due to the close collaboration with local authorities. The analysis focused on the specific actions undertaken by the participating countries’ public health and other authorities in relation to community engagement, as well as the view from the perspective of the community. Conclusions: The overall objective of the assessment to identify synergies between institutional decision-making bodies and community actors and networks before, during and after an outbreak response to a given public health emergency. The methodology is generic and could be applied to a range of public health emergencies, zoonotic or otherwise. The methodology emphasises reflexivity among fieldworkers, a relatively short time needed for data collection, potential generalisability of findings, insider-outsider perspectives, politically sensitive findings, and how to deal with ethical and language issues.

Problems with Avian Point Counts for Estimating Density of Northern Bobwhite—A Case Study

2011 ◽  
Vol 2 (1) ◽  
pp. 117-121 ◽  
Author(s):  
Roger D. Applegate ◽  
Robert E. Kissell ◽  
E. Daniel Moss ◽  
Edward L. Warr ◽  
Michael L. Kennedy
Keyword(s):  
Count Data ◽  
Distance Sampling ◽  
Bird Species ◽  
Northern Bobwhite ◽  
Model Fit ◽  
Point Count ◽  
Point Counts ◽  
Occupancy Estimation ◽  
Detection Probabilities

Abstract Point count data are used increasingly to provide density estimates of bird species. A favored approach to analyze point count data uses distance sampling theory where model selection and model fit are important considerations. We used uniform and half normal models and assessed model fit using χ2 analysis. We were unsuccessful in fitting models to 635 northern bobwhite Colinus virginianus observations from 85 avian point locations spanning 6 y (P ≤ 0.05). Most observations (74%) occurred in the outermost (>100-m) distance radius. Our results violated the assumptions that all observations at the point are detected. The assumption that birds were assigned to the correct distance interval also was probably violated. We caution managers in implementing avian point counts with distance sampling when estimating northern bobwhite population density. We recommend exploring other approaches such as occupancy-estimation and modeling for estimating detection probabilities.

scholarly journals Examining the Relationships between Stationary Occupancy and Building Energy Loads in US Educational Buildings–Case Study

2020 ◽  
Vol 12 (3) ◽  
pp. 893 ◽  
Author(s):  
Seungtaek Lee ◽  
Wai Oswald Chong ◽  
Jui-Sheng Chou
Keyword(s):  
Building Energy ◽  
Data Traffic ◽  
Network Infrastructure ◽  
Electricity Use ◽  
Building Energy Systems ◽  
Electricity Load ◽  
Logarithmic Relationship ◽  
Heating Loads ◽  
Building Occupancy

Building energy systems are designed to handle both permanent and temporary occupants. Permanent occupants are considered the base energy load while temporary occupants are considered a temporary or additional load. Temporary occupancy is potentially the most difficult to design as the number of temporary occupants varies more significantly than permanent occupants. This case study was designed to investigate the effect of occupancy on energy loads, i.e. the relationship between occupancy and building energy loads. This study estimated the building occupancy by using existing network infrastructure, such as Wi-Fi and wired Ethernet based on the assumption that the number of Wi-Fi connections and the wired Ethernet traffic were used as a proxy for total and stationary occupancy. The relationships were then examined using correlations and regression analyses. The results showed the following: 1. Stationary occupancy was successfully estimated using the network infrastructure; 2. There was a linear relationship between electricity use and total occupancy (and, thus, the use of network infrastructure); 3. Permanent occupants generated a higher impact on the electricity load than the temporary occupants; 4. There was a logarithmic relationship between electricity use and the Ethernet data traffic (a proxy of permanent occupants); and 5. The statistical and qualitative analyses indicated that there was no significant relationship between occupancy and thermal loads, such as cooling and heating loads.

scholarly journals A BIM-Based Study on the Comprehensive Benefit Analysis for Prefabricated Building Projects in China

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yingbo Ji ◽  
Siwei Chang ◽  
Yuan Qi ◽  
Yan Li ◽  
Hong Xian Li ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Economic Benefits ◽  
Construction Technique ◽  
Building Projects ◽  
Comprehensive Benefit ◽  
Incentive Policies ◽  
Improved Performance ◽  
Prefabricated Building

Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. Great efforts have also been made to develop prefabricated construction technologies in China. However, there is a lack of an appropriate pattern for evaluating its comprehensive economic merits, and reasonable mathematical models for providing a comparative analysis of conventional cast-in-situ and prefabricated building projects have yet to be developed. Therefore, the research in this paper aims to comprehensively evaluate the economic benefits of implementing prefabricated construction techniques in order to surpass the economic barrier and promote the development of prefabricated buildings in China. The comprehensive economic evaluation is formulated in terms of resource-use efficiencies, project progress, and incentive policies. An apartment building in Shanghai is selected as a case study. Construction progress is simulated on the BIM platform when the same case study is rationally transformed from the prefabricated to the conventional cast-in-situ construction technique. The results reveal that the comprehensive economic merit can reach ¥739.6/m2 when selecting the prefabricated construction process. The economic benefit brought by shortening the construction period can be regarded as the most significant contributor. Yet, the current incentive policies only contribute 7.1% of the comprehensive economic evaluation. Overall, this research contributes an assessment framework for decision-making in the technique management of building construction. The BIM-based simulation approach can greatly help investors to identify the relevant economic factors and adopt the latest incentive policies.

scholarly journals Record linking in the EHRI portal

2020 ◽  
Vol 30 (3) ◽  
pp. 363-378
Author(s):  
Sigal Arie Erez ◽  
Tobias Blanke ◽  
Mike Bryant ◽  
Kepa Rodriguez ◽  
Reto Speck ◽  
...  
Keyword(s):  
Design Methodology ◽  
Open Data ◽  
Controlled Vocabularies ◽  
Content Type ◽  
Domain Specific ◽  
Historical Archives ◽  
Finding Aids ◽  
Rich Data ◽  
Significant Attention

Purpose This paper aims to describe the European Holocaust Research Infrastructure (EHRI) project's ongoing efforts to virtually integrate trans-national archival sources via the reconstruction of collection provenance as it relates to copy collections (material copied from one archive to another) and the co-referencing of subject and authority terms across material held by distinct institutions. Design/methodology/approach This paper is a case study of approximately 6,000 words length. The authors describe the scope of the problem of archival fragmentation from both cultural and technical perspectives, with particular focus on Holocaust-related material, and describe, with graph-based visualisations, two ways in which EHRI seeks to better integrate information about fragmented material. Findings As a case study, the principal contributions of this paper include reports on our experience with extracting provenance-based connections between archival descriptions from encoded finding aids and the challenges of co-referencing access points in the absence of domain-specific controlled vocabularies. Originality/value Record linking in general is an important technique in computational approaches to humanities research and one that has rightly received significant attention from scholars. In the context of historical archives, however, the material itself is in most cases not digitised, meaning that computational attempts at linking must rely on finding aids which constitute much fewer rich data sources. The EHRI project’s work in this area is therefore quite pioneering and has implications for archival integration on a larger scale, where the disruptive potential of Linked Open Data is most obvious.

scholarly journals Building occupancy estimation and detection: A review

2018 ◽  
Vol 169 ◽  
pp. 260-270 ◽  
Author(s):  
Zhenghua Chen ◽  
Chaoyang Jiang ◽  
Lihua Xie
Keyword(s):  
Occupancy Estimation ◽  
Building Occupancy

Reorganisation of wood production for improved performance: a swiss forest district case study

2004 ◽  
Vol 3 (2) ◽  
pp. 143-160 ◽  
Author(s):  
Kaspar Oswald ◽  
Denis Riechsteiner ◽  
Oliver Thees ◽  
Renato Lemm
Keyword(s):  
Wood Production ◽  
Improved Performance ◽  
Forest District

scholarly journals Pathway to Sustainability in the Mining Industry: A Case Study of Alcoa and Rio Tinto

Resources ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 70
Author(s):  
Prasanna Shrivastava ◽  
Rachana Vidhi
Keyword(s):  
Mining Industry ◽  
Fortune 500 ◽  
Mining Companies ◽  
Rio Tinto ◽  
Sustainability Strategy ◽  
Improved Performance ◽  
Critical Requirement ◽  
The Right ◽  
Río Tinto

Sustainability for the mining companies is a critical requirement for their ongoing operations. Regulations and licenses generally depend on the companies’ sustainability practices, forcing them to focus on environmental impact and social welfare. While the mining industry has historically been associated with poor working conditions and their unsustainable practices, closer review of the industry suggests that the last few decades have seen improved performance and heightened focus on doing the right thing for the environment and the society. This research is focused on reviewing the sustainability strategy and initiatives of Alcoa and Rio Tinto, two Fortune-500 mining companies. It was found that these companies had started focusing on sustainability a few decades ago, but developed a holistic sustainability strategy as part of their core business only over the last few years. While there are many controversies still facing the companies, particularly around environmental pollution, their continued focus on sustainability will be beneficial for their employees as well as the communities they operate in.

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