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Item Plant Level IIoT Based Energy Management Framework(2023-05) Koshy, Liya Elizabeth; Chien, Stanley Yung-Ping; Chen, Jie; King, BrianThe Energy Monitoring Framework, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology. The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely. The main objectives of the project include the following: • Set up a wireless network using sensors and smart implants with a base station/ controller. • Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency. • Set up a generalized interface to collect and process the sensor data values and store the data in a database. • Design and develop a generic database compatible with various companies irrespective of the type and size. • Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment. The General Structure of the project constitutes the following components: • A wireless sensor network with a base station. • An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators. • A cloud that hosts a database and an API to collect and store information. • A web application hosted in the cloud to provide an interactive platform for users to analyze the data. The project was demonstrated in: • Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/). • Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/). • A company in Indiana. The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.Item A Short-Term Art Therapy Group for Individuals with Dementia(2018) Hinkle, Brittany; Misluk, EileenThis human-subject study used the Quality of Life-Alzheimer's Disease (QOL-AD) for its pre- and post-test intervention format without at control group. It was hypothesized that there would be an increase in quality of life (QoL) scores after participation in the 6-week art therapy group. The findings were anticipated to suggest that the supportive group art therapy setting improved QoL in the participants in the domains of energy, mood, and self as a whole. The pre-QOL-AD provided a baseline measure of QoL that was compared to the post-QOL-AD to identify if a change in QoL occurred as a result of participation in the study. Eight participants created an ongoing life review project, recommended by Judith Walk, over six sessions. They were provided with 18-by-24-inch white artist paper, colored pencils, markers, pre-cut collage images, and glue. The paper was pre-divided into six sections. Each section represented an important phase of life, ranging from childhood to the present. The results showed an increase in QoL for five of the eight participants. The participant and caregiver pre- and post-test total scores and scores for the domain of self as a whole were found to be approaching significance. These findings provide support for the use of art therapy to improve QoL for individuals with dementia. Future implications of this study include additional research on the use of Judith Wald's method and the QOL-AD as a measure of QoL for individuals with dementia, particularly for art therapy studies.Item State Renewable Energy Governance: Policy Instruments, Markets, or Citizens(Wiley, 2015) Park, Sunjoo; School of Public and Environmental AffairsSince the 1990s, state governments in the U.S. have diversified policy instruments to encourage the electric power industry to deploy renewable sources for electricity generation. This study identifies the trends and variations in renewable energy policy governance among states and examines the effectiveness of policy instruments in the deployment of renewable energy sources for electricity production. This study explores 18 state legislative, renewable energy related regulations, programs, or financial incentives existing between 2001 and 2010 in 48 states in the United States. Renewable energy policies were classified into three types of policy approaches: command-and-control, market-based, and information instruments. Results suggest that authoritative approaches are more likely to be effective in the governmental intervention toward a pre-existing market, and information instruments and citizen participation became important in the power industry in the 2000s. In addition, it gives us some evidence that Federal assistance under the ARRA of 2009 influenced the overall growth of the renewable electricity industry, in addition to state government led policy designs.