Caring for Our Kupuna: Building an Aging in Place Movement in Hawaii

Government funding for elder care in the United States is becoming increasingly strained as the number of seniors and the cost of healthcare rise. Medicare paid $560 billion for hospital visits, prescription drugs, and other services in 2010 and expects to pay out just over$1 trillion by 2022. Medicaid, which covers long-term care for individuals with low income and assets, is the source of payment for 70% of nursing home stays across the country and paid $48.2 billion for senior residential care in 2007.As the costs of Medicare and Medicaid soar, practitioners in Hawaii and around the country have experimented with preventive and supportive aging-in-place services that reduce the cost of service while improving the lives of seniors. Rather than rushing an elder to the emergency room after a dangerous fall in the bathroom, providers have begun installing hand and safety rails in the home to prevent falls. Other providers are offering preventive health and nutrition classes that help seniors maintain their health and delay the need for long-term residential care. By focusing on preventive services rather than treating only advanced health needs, aging-in-place service providers are helping seniors maintain independence at home, avoid nursing home admission, reduce hospitalization, and minimize social isolation. Studies show that those who choose to age at home have better health outcomes while incurring significantly lower health costs than those who age in nursing homes. In addition to saving financial resources, aging in place is popular among seniors: a full 90% of American seniors share the desire to remain in their homes as they age.The value of aging in place is particularly relevant in Hawaii, which has the highest life expectancy of any state and the second highest cost of living in the country. By 2030, Hawaii expects to have an older population of 475,000 individuals, representing 29.7% of the population and a 310% increase during the 55-year period from 1980-2035. As the number of seniors aging in Hawaii rapidly increases, the state faces limited capacity in its residential care homes. With only 4,200 beds in nursing homes and 7,000 spaces in residential facilities in 2010, Hawaii's current facilities would be able to serve only 30% of the 38,000 older adults projected to need long-term care in 2035.6Increasing the portion of seniors aging in place could increase the happiness of Hawaii's seniors ("kupuna") and save significant resources for society. However, a continuum of wrap-around services must be available to seniors if they are to age in place effectively. Aging-in-place services must be available to transport elders, support needs in the home (safety, cleaning, cooking, etc.), connect elders with a community, provide respite for caregivers, and monitor and address health/nursing needs. Without this comprehensive support, elders living alone are not empowered to age with dignity and are more likely to become ill or incur injuries

Toward understanding crowd mobility in smart cities through the Internet of Things

Understanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. This article discusses the existing challenges and the recent advances to overcome them and allow sharing information across stakeholders of crowd management through Internet of Things (IoT) technologies. The article proposes the usage of the new federated interoperable semantic IoT platform (FIESTA-IoT), which is considered as "a system of systems". The platform can support various IoT applications for crowd management in smart cities. In particular, the article discusses two integrated IoT systems for crowd mobility: 1) Crowd Mobility Analytics System, 2) Crowd Counting and Location System (from the SmartSantander testbed). Pilot studies are conducted in Gold Coast, Australia and Santander, Spain to fulfill various requirements such as providing online and offline crowd mobility analyses with various sensors in different regions. The analyses provided by these systems are shared across applications in order to provide insights and support crowd management in smart city environments.The pilot study in Gold Coast is conducted in collaboration with NEC Australia. This work has been partially funded by the Spanish Government (MINECO) under Grant Agreement No. TEC2015-71329-C2-1-R ADVICE (Dynamic Provisioning of Connectivity in High Density 5G Wireless Scenarios) project and by the EU Horizon 2020 Programme under Grant Agreements No. 731993 AUTOPILOT (Automated Driving Progressed by Internet Of Things), 643943 FIESTAIoT (Federated Interoperable Semantic IoT Testbeds and Applications), and 643275 FESTIVAL (Federated Interoperable Smart ICT Services Development and Testing Platforms) projects and the joint project by NEC Laboratories Europe and Technische Universität Dortmund. The content of this paper does not reflect the official opinion of the Spanish Government or European Union. Responsibility for the information and views expressed therein lies entirely with the authors

Leveraging Resources on Anonymous Mobile Edge Nodes

Smart devices have become an essential component in the life of mankind. The quick rise of smartphones, IoTs, and wearable devices enabled applications that were not possible few years ago, e.g., health monitoring and online banking. Meanwhile, smart sensing laid the infrastructure for smart homes and smart cities. The intrusive nature of smart devices granted access to huge amounts of raw data. Researchers seized the moment with complex algorithms and data models to process the data over the cloud and extract as much information as possible. However, the pace and amount of data generation, in addition to, networking protocols transmitting data to cloud servers failed short in touching more than 20% of what was generated on the edge of the network. On the other hand, smart devices carry a large set of resources, e.g., CPU, memory, and camera, that sit idle most of the time. Studies showed that for plenty of the time resources are either idle, e.g., sleeping and eating, or underutilized, e.g. inertial sensors during phone calls. These findings articulate a problem in processing large data sets, while having idle resources in the close proximity. In this dissertation, we propose harvesting underutilized edge resources then use them in processing the huge data generated, and currently wasted, through applications running at the edge of the network. We propose flipping the concept of cloud computing, instead of sending massive amounts of data for processing over the cloud, we distribute lightweight applications to process data on users\u27 smart devices. We envision this approach to enhance the network\u27s bandwidth, grant access to larger datasets, provide low latency responses, and more importantly involve up-to-date user\u27s contextual information in processing. However, such benefits come with a set of challenges: How to locate suitable resources? How to match resources with data providers? How to inform resources what to do? and When? How to orchestrate applications\u27 execution on multiple devices? and How to communicate between devices on the edge? Communication between devices at the edge has different parameters in terms of device mobility, topology, and data rate. Standard protocols, e.g., Wi-Fi or Bluetooth, were not designed for edge computing, hence, does not offer a perfect match. Edge computing requires a lightweight protocol that provides quick device discovery, decent data rate, and multicasting to devices in the proximity. Bluetooth features wide acceptance within the IoT community, however, the low data rate and unicast communication limits its use on the edge. Despite being the most suitable communication protocol for edge computing and unlike other protocols, Bluetooth has a closed source code that blocks lower layer in front of all forms of research study, enhancement, and customization. Hence, we offer an open source version of Bluetooth and then customize it for edge computing applications. In this dissertation, we propose Leveraging Resources on Anonymous Mobile Edge Nodes (LAMEN), a three-tier framework where edge devices are clustered by proximities. On having an application to execute, LAMEN clusters discover and allocate resources, share application\u27s executable with resources, and estimate incentives for each participating resource. In a cluster, a single head node, i.e., mediator, is responsible for resource discovery and allocation. Mediators orchestrate cluster resources and present them as a virtually large homogeneous resource. For example, two devices each offering either a camera or a speaker are presented outside the cluster as a single device with both camera and speaker, this can be extended to any combination of resources. Then, mediator handles applications\u27 distribution within a cluster as needed. Also, we provide a communication protocol that is customizable to the edge environment and application\u27s need. Pushing lightweight applications that end devices can execute over their locally generated data have the following benefits: First, avoid sharing user data with cloud server, which is a privacy concern for many of them; Second, introduce mediators as a local cloud controller closer to the edge; Third, hide the user\u27s identity behind mediators; and Finally, enhance bandwidth utilization by keeping raw data at the edge and transmitting processed information. Our evaluation shows an optimized resource lookup and application assignment schemes. In addition to, scalability in handling networks with large number of devices. In order to overcome the communication challenges, we provide an open source communication protocol that we customize for edge computing applications, however, it can be used beyond the scope of LAMEN. Finally, we present three applications to show how LAMEN enables various application domains on the edge of the network. In summary, we propose a framework to orchestrate underutilized resources at the edge of the network towards processing data that are generated in their proximity. Using the approaches explained later in the dissertation, we show how LAMEN enhances the performance of applications and enables a new set of applications that were not feasible

Visible Collective and Self-Management Along with Secret Gardens: The Landscape For Distributed Innovation Organizations In Competitive Environments

Hyperloop Transportation Technologies, Inc. (HYPERLOOPTT) is a global crowd-based innovation startup competing in the hyperloop industry. HYPERLOOPTT distinguishes itself from the competition by not simply engineering a hyperloop but also designing sociotechnical systems and practices that enable them to push the use of a distributed innovation system to the extreme. HYPERLOOPTT faces two sources of competition: against other organizations in the hyperloop industry, and against other claims on the time of its largely part-time contributors. We conducted an ethnographic analysis of the coordination practices of the organization, concluding that HYPERLOOPTT is effectively competing on both fronts by creating the means for visible collective and self-management of knowledge as well as by secretly walling in intellectual property, making the walls and their contents invisible. The invisibility of IP walls seems to avoid inhibiting collaboration among part-time contributors since their lack of awareness reduces any frustration that might arise if they knew important information for their work was being withheld. We draw implications for theory on distributed innovation systems in market-oriented organizations

The Implementation of Smart Mobility for Smart Cities: A Case Study in Qatar

This paper contributes to building a systematic view of the mobility characteristics of smart cities by reviewing the lessons learned from the best practices implemented around the world. The main features of smart cities, such as smart homes, smart infrastructure, smart operations, smart services, smart utilities, smart energy, smart governance, smart lifestyle, smart business, and smart mobility in North America, Asia, and Europe are briefly reviewed. The study predominantly focuses on smart mobility features and their implications in newly built smart cities. As a case study, the modern city of Lusail located in the north of Doha, Qatar is considered. The provision of car park management and guidance, real-time traffic signal control, traffic information system, active-modes arrangement in promenade and busy urban avenues, LRT, buses, taxis, and water taxis information system, and multimodal journey planning facilities in the Lusail smart city is discussed in this study. Consequently, the implications of smart mobility features on adopting Intelligent Transportation Systems (ITS) will be studied. The study demonstrates that the implementation of Information and Communication Technologies (ICT) when supported by Intelligent Transportation Systems (ITS), could result in making the most efficient use of existing transportation infrastructure and consequently improve the safety and security, mobility, and the environment in urban areas. The findings of this study could be considered an initial step in the implementation of Mobility-as-a-Service (MaaS) in cities with advanced public transportation such as Doha, the capital of Qatar. Doi: 10.28991/CEJ-2022-08-10-09 Full Text: PD

Online Group-exercises for Older Adults of Different Physical Abilities

In this paper we describe the design and validation of a virtual fitness environment aiming at keeping older adults physically and socially active. We target particularly older adults who are socially more isolated, physically less active, and with less chances of training in a gym. The virtual fitness environment, namely Gymcentral, was designed to enable and motivate older adults to follow personalised exercises from home, with a (heterogeneous) group of remote friends and under the remote supervision of a Coach. We take the training activity as an opportunity to create social interactions, by complementing training features with social instruments. Finally, we report on the feasibility and effectiveness of the virtual environment, as well as its effects on the usage and social interactions, from an intervention study in Trento, Ital

College of Health Sciences Newsletter, May 2017

May 2017 issue of Old Dominion University\u27s College of Health Sciences Newsletter.https://digitalcommons.odu.edu/healthsciences_newsletters/1053/thumbnail.jp