IoT Voice, Gesture & Application Control System: Proof of Concept Implementation

Internet of Things (IoT) technology is an ever-growing field in today’s day and age. IoT enables the connection of several devices to a network, enabling data to be retrieved from the network without direct human-to-human or human-to-computer interaction. The education system can take advantage of this advancing technology and integrate it into a Smart Campus and Classroom environment. Therefore, our solution plans to implement an IOT solution that may be applicable to the smart classroom. The solution plans to implement an application, voice and gesture recognition system that could command a robot to perform an action

TACTICAL BLOCKCHAIN TO PROVIDE DATA PROVENANCE IN SUPPORT OF INTERNET OF BATTLEFIELD THINGS AND BIG DATA ANALYTICS

This capstone project evaluated the use of blockchain technology to address a number of challenges with increasing amounts of disparate sensor data and an information-rich landscape that can quickly overwhelm effective decision-making processes. The team explored how blockchain can be used in a variety of defense applications to verify users, validate sensor data fed into artificial intelligence models, limit access to data, and provide an audit trail across the data life cycle. The team developed a conceptual design for implementing blockchain for tactical data, artificial intelligence, and machine learning applications; identified challenges and limitations involved in implementing blockchain for the tactical domain; described the benefits of blockchain for these various applications; and evaluated this project’s findings to propose future research into a wider set of blockchain applications. The team did this through the development of three use cases. One use case demonstrated the use of blockchain at the tactical edge in a “data light” information environment. The second use case explored the use of blockchain in securing medical information in the electronic health record. The third use case studied blockchain’s application in the use of multiple sensors collecting data for chemical weapons defense to support measurement and signature intelligence analysis using artificial intelligence and machine learning.Civilian, Department of the ArmyCivilian, Department of the ArmyCivilian, Department of the ArmyCivilian, Department of the ArmyCivilian, Department of the ArmyApproved for public release. Distribution is unlimited

LEVERAGING OPENAIRINTERFACE AND SOFTWARE DEFINED RADIO TO ESTABLISH A LOW-COST 5G NON-STANDALONE ARCHITECTURE

Includes Supplementary MaterialCommercial cellular service providers are at the forefront of the paradigm shift from 4G Long Term Evolution (LTE) to 5G New Radio (NR). The increase in throughput, provisioning of ultra-low latency, and greater reliability of 5G enable potential uses that no other wireless communication could support. The Department of Defense (DOD) is interested in 5G NR technologies, but the implementation of the architecture can be lengthy and costly. This capstone configured a 4G LTE network and a 5G non-standalone network using OpenAirInterface and software defined radios (SDRs). Universal Subscriber Identity Module (USIM) cards were configured and introduced to user equipment and attached to the 4G LTE network. A gNodeB (gNB) was added to the 4G LTE network to establish the 5G non-standalone (NSA) network architecture (3GPP Option 3). The testbed developed in this research was able to connect the core to a commercial internet service provider and browse the internet using third-party applications. Our analysis educates future researchers on the challenges and lessons learned when implementing the OpenAirInterface 4G LTE and 5G NSA networks. This work also provides a better understanding of 4G LTE and 5G NSA OpenAirInterface software usability, flexibility, and scalability for potential use cases for the DOD.Chief Petty Officer, United States NavyApproved for public release. Distribution is unlimited

Bringing Computational Thinking to Nonengineering Students through a Capstone Course

Although the concept of computational thinking has flourished, little research has explored how to integrate various elements of computational thinking into an undergraduate classroom setting. Clarifying core concepts of computational thinking and providing empirical cases that apply computational thinking practices into a real-world educational setting is crucial to the success of software engineering education. In this article, we describe the development of a curriculum for a social innovation capstone course, using core concepts and elements of computational thinking. The course was designed for undergraduate students of a liberal arts college at a university in Korea. Students were asked to define a social problem and introduced to the core concepts and processes of computational thinking aided by Arduino and Raspberry Pi programming environments. After building a business model, they implemented a working prototype for their proposed solution. We document class project outcomes and student feedback to demonstrate the effectiveness of the approach

Bringing Computational Thinking to Nonengineering Students through a Capstone Course

Although the concept of computational thinking has flourished, little research has explored how to integrate various elements of computational thinking into an undergraduate classroom setting. Clarifying core concepts of computational thinking and providing empirical cases that apply computational thinking practices into a real-world educational setting is crucial to the success of software engineering education. In this article, we describe the development of a curriculum for a social innovation capstone course, using core concepts and elements of computational thinking. The course was designed for undergraduate students of a liberal arts college at a university in Korea. Students were asked to define a social problem and introduced to the core concepts and processes of computational thinking aided by Arduino and Raspberry Pi programming environments. After building a business model, they implemented a working prototype for their proposed solution. We document class project outcomes and student feedback to demonstrate the effectiveness of the approach

Learning path for Construction 4.0 based on tinkering and STEAM

This article describes the outcomes of a completed study of practice in civil engineering education. The study is aimed at infusing Construction 4.0 content to a Bachelor degree on Civil Engineering. A set of STEAM-rich activities are created in the form of an individual learning path. These activities are conceived with a threefold perspective: i) Construction 4.0-related, ii) STEAM vision by-design and iii) hardware-software independent (open-source, accessible, affordable). Cornerstone and capstone projects as well as a set of workshops represent some demonstrators of these activities. All these demonstrators are knitted together in a single path in that is pegged to the traditional curriculum The STEAM perspective provides completeness to the whole development. During the last two years, design, development and implementation of several demonstrators have been completed. Some results related to the application of some activities are already available. In the years to come, it is expected that an improved systematic deployment of such activities will allow assessing the evolution between tools, pedagogies and the needs of the sector. In this paper, the description of the activities together with the discussion on the potential of tinkering on Construction 4.0-based curriculum is addressed.Objectius de Desenvolupament Sostenible::4 - Educació de QualitatPostprint (published version

Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads

This thesis develops an economic scheduling framework for a building microgrid with internet of things (IoT) based flexible loads to synchronize the buildings’ controllable components, with occupant behavior and environmental conditions. We employ model predictive control (MPC) methods to minimize building operating costs, while maximizing the utilization of the on-site resources. The main research thrusts are: 1) Developing the building microgrid model; 2) Defining different building operation strategies; 3) Minimizing the building’s daily operating costs. Simulation results show that the proposed approach provides superior energy cost savings and peak load reduction in comparison with other operation controls, such as All from Utility (AFU), AFU with installed IoT-based Building Energy Management System (BEMS), and MPC-Mix Integer Linear Programming (MILP) without IoT-based BEMS. An economic analysis is also conducted to provide a road map for the implementation of installing advanced energy efficiency technologies across loads in building microgrid and integrating them with the building microgrid’s control strategy

Developing community-based engagement in Smart Cities: A design-computational thinking approach

Smart Cities development has progressed rapidly with Internet of Things (IoT), ambient intelligence and increasingly, crowdsourcing. Engaging the community thus plays a key role in developing meaningful communal growth along with other stakeholders. This paper briefly presents a pilot study on developing computational perspectives for community-based engagement and innovations in Smart Cities for the young and thereafter, to explore possibilities of engaging seniors in self and community development, and the young and old in community-based engagement and possibly in the future, the development of viable values-based innovations in information systems