scholarly journals Internet of Things for Smart Spaces: A University Campus Case Study

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3716
Author(s):  
Ekaterina Gilman ◽  
Satu Tamminen ◽  
Rumana Yasmin ◽  
Eemeli Ristimella ◽  
Ella Peltonen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
User Interfaces ◽  
Real World ◽  
Lessons Learned ◽  
University Campus ◽  
Smart Space ◽  
Smart Spaces

Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different application domains, each with corresponding specific characteristics. In this article, we discuss our experiences and explore the challenges of a long-term real-world Internet of Things (IoT) deployment at a University campus. We demonstrate the technical implementation and data quality issues. We conduct several studies, from data analysis to interaction with space, utilizing the developed infrastructure, and we also share our actions to open the data for education purposes and discuss their outcomes. With this article, we aim to share our experience and provide real-world lessons learned when building an open, multipurpose, publicly used smart space at a University campus.

scholarly journals Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5786
Author(s):  
Filipe Quintal ◽  
Daniel Garigali ◽  
Dino Vasconcelos ◽  
Jonathan Cavaleiro ◽  
Wilson Santos ◽  
...  
Keyword(s):  
Real World ◽  
Lessons Learned ◽  
Long Term Study ◽  
Consumption Data ◽  
Custom Made ◽  
In The Wild ◽  
Platform Development ◽  
A Site

This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.

Unlocking the value of HR to drive a change-ready culture

2017 ◽  
Vol 16 (4) ◽  
pp. 171-176
Author(s):  
Campbell Macpherson
Keyword(s):  
Real World ◽  
Culture Change ◽  
Design Methodology ◽  
Lessons Learned ◽  
World Culture ◽  
Content Type ◽  
Large Organization ◽  
The Real ◽  
Personal Experiences

Purpose This paper aims to present a case study focused on developing a change-ready culture within a large organization. Design/methodology/approach This paper is based on personal experiences gleaned while driving an organization-wide culture change program throughout a major financial advisory firm. Findings This paper details over a dozen key lessons learned while transforming the HR department from a fragmented, ineffective, reclusive and disrespected department into one that was competent, knowledgeable, enabling and a leader of change. Originality/value Drawing on the real-world culture change intervention detailed here, including results and lessons learned, other organizations can apply similar approaches in their own organizations – hopefully to similar effect.

Water in the Time of Drought II: Lessons from Droughts around the World

2021 ◽  
Author(s):  
Raphaëlle Ortiz ◽  
Anamaría Núñez ◽  
Corinne Cathala ◽  
Ana R. Rios ◽  
Mauro Nalesso
Keyword(s):  
Best Practices ◽  
Technical Note ◽  
Lessons Learned ◽  
Institutional Frameworks ◽  
The World ◽  
Relevant Case ◽  
Management Policies ◽  
Successes And Challenges

This technical note is an update to the previous "Water in the Time of Drought: Lessons from Five Droughts Around the World", published in 2018. It explores drought situations and policies in Spain (including the Canary Islands), Chile, Mexico, the dry corridor between Honduras, Guatemala, and El Salvador, Brazil, and South Africa. Each of these countries has recently dealt with droughts and/or developed long-term solutions to manage them. HydroBID, a tool developed by the IDB, will be presented through relevant case studies. After defining drought experiences and institutional frameworks in each country, the brief will explore the successes and challenges of national drought and water management policies. Best practices and lessons learned will be extracted from each case study to help policymakers better prepare for droughts.

scholarly journals Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

2019 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Francesco Leotta ◽  
Massimo Mecella ◽  
Daniele Sora ◽  
Tiziana Catarci
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Visual Analysis ◽  
Future Research ◽  
Specific Method ◽  
Human Intervention ◽  
Smart Space ◽  
Smart Spaces ◽  
Research Questions

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field.

The Role of Visual Assessment of Clusters for Big Data Analysis: From Real-World Internet of Things

2020 ◽  
Vol 6 (4) ◽  
pp. 45-53
Author(s):  
Marimuthu Palaniswami ◽  
Aravinda S. Rao ◽  
Dheeraj Kumar ◽  
Punit Rathore ◽  
Sutharshan Rajasegarar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
Real World ◽  
Visual Assessment ◽  
Big Data Analysis

scholarly journals Building-Back-Better in Post-Disaster Recovery: Lessons Learnt from Cyclone Idai-Induced Floods in Zimbabwe

2021 ◽  
Author(s):  
Ernest Dube ◽  
Gayan Wedawatta ◽  
Kanchana Ginige
Keyword(s):  
Disaster Recovery ◽  
Lessons Learned ◽  
Community Members ◽  
Continuous Training ◽  
Group Discussions ◽  
Disaster Impact ◽  
The Impact ◽  
Post Disaster

AbstractThis study evaluated the build-back-better considerations in post-disaster recovery, following the devastation of Chipinge and Chimanimani communities by Cyclone Idai-induced floods in 2019. Conducted in 2020, the study assessed the impact of Cyclone Idai-induced floods on communities in Chipinge and Chimanimani Districts of Zimbabwe; evaluated the build-back-better considerations; and analyzed the lessons learned. Based on a qualitative approach and case study design, the study depended on focus group discussions, interviews, and researcher observations to gather data from 85 participants. The findings indicate that Cyclone Idai-induced floods seriously impacted human lives, infrastructure, and livelihoods of communities that had been living with flood risk and vulnerability. Build-back-better considerations were absent in much of the post-disaster recovery effort to address the cyclone disaster impact. There are important early lessons for both practitioners and community members to learn from the Cyclone Idai event. These lessons still can inform policy and disaster risk reduction practice in the medium and long term. Build-back-better should be a mandatory objective in the recovery from any disaster impact. Continuous training is also recommended to improve the disaster knowledge of stakeholders and increase local ability to cope with future disaster events.

scholarly journals Evaluating Case Study and Action Research Reports: Real-world Research in Cybersecurity

2020 ◽  
Vol 26 (7) ◽  
pp. 827-853
Author(s):  
Simon Vrhovec ◽  
Damjan Fujs ◽  
Luka Jelovčan ◽  
Anže Mihelič
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Data Collection ◽  
Real World ◽  
Citation Count ◽  
Research Report ◽  
Positive Trend ◽  
Collection Data

There is a growing number of scientific papers reporting on case studies and action research published each year. Consequently, evaluating the quality of pilling up research reports is becoming increasingly challenging. Several approaches for evaluation of quality of the scientific outputs exist however they appear to be fairly time-consuming and/or adapted for other research designs. In this paper, we propose a reasonably light-weight structure-based approach for evaluating case study and action research reports (SAE-CSAR) based on eight key parts of a real-world research report: research question, case description, data collection, data analysis, ethical considerations, results, discussion and limitations. To evaluate the feasibility of the proposed approach, we conducted a systematic literature survey of papers reporting on real-world cybersecurity research. A total of N = 102 research papers were evaluated. Results suggest that SAE-CSAR is useful and relatively efficient, and may offer a thought-provoking insight into the studied field. Although there is a positive trend for the inclusion of data collection, data analysis and research questions in papers, there is still room for improvement suggesting that the field of real-world cybersecurity research did not mature yet. The presence of a discussion in a paper appears to affect most its citation count. However, it seems that it is not uniformly accepted what a discussion should include. This paper explores this and other issues related to paper structure and provides guidance on how to improve the quality of research reports.

Establishing Governance for Hybrid Cloud and the Internet of Things

2017 ◽  
pp. 300-325
Author(s):  
Martin Wolfe
Keyword(s):  
Internet Of Things ◽  
Real World ◽  
Lessons Learned ◽  
The Internet ◽  
Special Focus ◽  
Hybrid Cloud ◽  
Business Goals ◽  
Future State ◽  
High Level ◽  
The Internet Of Things

This chapter is focused on the current and future state of operating a Hybrid Cloud or Internet of Things (IoT) environment. This includes tools, data, and processes which allow an organization to use these assets to serve business goals. Examining governance in this context shows how it works today and how it should change, using some real-world examples to show the impacts and advantages of these changes. It is a high level overview of those important topics with prescriptive detail left for a future and follow-on analysis. Finally, all of the lessons learned, when combined together form a governance fabric, resulting in a set of techniques and actions which tie together into a supporting framework and set of processes. The important questions include: Why does governance matter in the deployment and operation of Hybrid Cloud and IoT? If governance already exists how must it change? What are the important and salient characteristics of governance which need special focus? Thus, this analysis gives a context of how today's governance approach should change when moving to a Hybrid Cloud or IoT model.

Large-Scale Research via App Stores

2015 ◽  
pp. 269-292
Author(s):  
Matthias Kranz ◽  
Andreas Möller ◽  
Florian Michahelles
Keyword(s):  
Data Collection ◽  
Human Computer Interaction ◽  
Real World ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile App ◽  
Lessons Learned ◽  
Conducting Research ◽  
Collection Methods

Large-scale research has gained momentum in the context of Mobile Human-Computer Interaction (Mobile HCI), as many aspects of mobile app usage can only be evaluated in the real world. In this chapter, we present findings on the challenges of research in the large via app stores, in conjunction with selected data collection methods (logging, self-reporting) we identified and have proven as useful in our research. As a case study, we investigated the adoption of NFC technology, based on a gamification approach. We therefore describe the development of the game NFC Heroes involving two release cycles. We conclude with lessons learned and provide recommendations for conducting research in the large for mobile applications.

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