Digital Commons Network^™

Examining The Brownsfields Issue: The Effectiveness Of The Brownfields Amendements And The Need For Further Action, Juliann Grace Dodd

Ohio Northern University Law Review

No abstract provided.

Client Usability And Student Perspectives Of A Novel Mobile Health App To Facilitate 3d-Printed Assistive Device Learning And Application, Sara Benham, Sarah Argumedo, Samantha Pifer, Tiras Williams, Jeffrey Bush, Monica Kaniamattam

Journal of Innovation in Health Sciences Education

Introduction: Locating, selecting, and printing appropriate 3D-printed assistive devices (AD) to meet specific health needs can be overwhelming. To address these challenges, the 3DAdapt app was developed. This study aimed to explore the app’s usability through an occupational therapy (OT) student project that involved delivering 3D-printed AD to older adults.

Methods: Over three sessions, OT students collaborated with older adults to provide customized 3D-printed AD. The app’s usability was assessed using a mixed-methods approach, including the System Usability Scale (SUS; scores ≥ 70 indicate usability). Focus groups with OT students further explored the usability of occupation-focused interventions with their …

Shaped By Experience: A Study Of Hybrid Professional Physical Therapist Education Patient Experiences And Experiential Learning., Teresa R. Bachman, Anne H. Boddy, Megan B. Flores, Elizabeth M. Ardolino

Journal of Innovation in Health Sciences Education

Introduction: Limited evidence exists on the use of patient experiences (PE) and experiential learning (EL) in hybrid entry-level physical therapist (PT) education programs. This study explored the impact of PE and EL within immersion labs on student self-confidence and self-efficacy in a hybrid entry-level PT education program. A total of 431 surveys were completed across 8 lab immersions for 6 courses. Nine total focus group discussions occurred, with a total of 50 participants, ranging from 2 to 10 per group.

Methods: A convenience sample from one entry-level hybrid PT education program participated in this mixed-method study with surveys and …

Freedom Of Religion: The Chinese Farce, Christopher M.L. Mccain

Ohio Northern University International Law Journal

No abstract provided.

When Robots Join The Care Team: A Pilot Study Of Social Robots In Inpatient Pediatric Occupational Therapy, Nora Mizell, Rebecca Ozelie

Student Journal of Occupational Therapy

Background: Children may experience anxiety while hospitalized. This may act as a barrier to participation in occupational therapy (OT) sessions and diminish the benefits of OT. Therefore, occupational therapy practitioners (OTPs) must provide interventions that support mental health and engagement during pediatric hospitalization. This study explored the feasibility of using social robots as OT intervention to reduce anxiety and support engagement in therapy in children admitted to an acute inpatient rehabilitation facility (AIR).

Methods: Participants included four children ages 5-10, admitted to an urban AIR facility. Each participant interacted with a social robot during three, 30-minute occupational therapy sessions. A …

From Cloistered Courts To Prairie Colonies: Five Centuries Of Hutterite Communal Architecture, Sibylle Becker-Kilian

Communal Societies

No abstract provided.

Front Matter

Communal Societies

No abstract provided.

Removal Of Heavy Metal Ions From Wastewater By Carbon Nanotubes (Cnts), Waleed Frayyeh, Zainab Mohammed, Abdulkhaleq Mahmood

Engineering and Technology Journal

This work is an attempt to remove cadmium (II) from wastewater by adsorption on multi-walled carbon nanotubes (MWCNTs) and functional group of carbon nanotubes (fMWCNTs) by using the batch process system and continuous reactor. In the batch reactor, the main variables that govern process efficiency such as the initial Cd (II) concentration, MWCNTs dose, contact time, stirring speed, and pH were studied. The experiments revealed that the amount of cadmium absorption (II) was higher on the increasing fMWCNTs dose and stirring speed. In addition, it decreased significantly with a decrease in the initial concentration of cadmium. The optimum values for …

Assessment Of Electricity Sector Using Geomatics Techniques: (Ramadi City As A Case Study), Hisham Al-Sharaa

Engineering and Technology Journal

Geomatics involves the collection, management, integration, representation, analysis, modeling and display of geographically referenced information describing both the Earth’s physical features and the built environment. One of the main use of this tool is to estimate electrical energy demand throughout Al Anbar Governorate, which have major problems in this sector with about 750 to 770 MW. The consumption of the city of Al Ramadi is about 200 MW. According to official forecasts by the Directorate of Electricity Networks of Al Anbar, this demand is expected to increase to about 900 MW during the summer of 2020. The present distribution systems …

The Effect Of Mobile Phone Use While Driving On Response Time: Driving Simulator Study, Hussein Mutar, Ahmed Abduljabbar, Ammar Mohammed

Engineering and Technology Journal

Mobile phone use is one of the most common daily tasks and this is normal, however, this task could be problematic while driving. The use of mobile phones while driving has become a major cause of road accidents and poses a threat to public health. This study investigated the effect of mobile phone usage while driving on response time, as it investigated four mobile phone tasks (hands-free calling, hand calls, reading text messages, and sending text messages) in addition to basic driving. A total of 42 participants, ranging in age from (19 to 55), with a mean age (mean = …

Improving The Properties Of A Polyester-Based Composite Using Nanoparticle Fillers, Zainab Younus, Laith Abbas, Abbas Hussein

Engineering and Technology Journal

In this work, unsaturated polyester, resin, matrix reinforced, with fiberglass mat chopped were developed using TiO2 and SiO2 Nanoparticles as filler materials. The individual and combined effects of nanoparticles on the nanocomposite and material properties were examined. An improvement in Young’s modulus (39,3%) using combined weight of TiO2+ SiO2 was observed to be 3%. Examined nanoparticles have shown normal distribution in grain size indicated to be within standard limit, therefore boosting nanocomposite material to have excellent hardness, roughness, impact, and flexural resistance. DSC was characterized by transitions in this material. SEM and EDS techniques were used to confirm the formation …

Optimization Of Automatic Generation Control And Economic Load Dispatch For Two Area Six Unit Interconnected Power System, Faeq Zwayyer, Afaneen Abbood, Jasim Hussein

Engineering and Technology Journal

This paper proposes an integrated Economic Load Dispatch (ELD) and Automatic Generation Control (AGC) for interconnected power systems. Based on their participation factor determined from the economic load dispatch calculation, each unit shares the total change in the same control region. In this study, two control areas are considered. Three thermal units are located in each control area. An integral controller (I) is only used for the AGC mechanism's secondary controller and is used for the primary controller for the ELD mechanism. An Improved Grey Wolf Optimizer (IGWO) technique is used to evaluate the optimum parameters of the integral controllers …

Unit Commitment Solution Based On Improved Particle Swarm Optimization Method, Ali Abbas, Afaneen Anwer

Engineering and Technology Journal

This paper presents an algorithm to solve the unit commitment problem using the intelligence technique based on improved Particle Swarm Optimization (IPSO) for establishing the optimal scheduling of the generating units in the electric power system with the lowest production cost during a specified time and subjected to all the constraints. The minimum production cost is calculated based on using the Lambda Iteration method. A conventional method was also used for solving the unit commitment problem using the Dynamic Programming method (DP). The two methods were tested on the 14-bus IEEE test system and the results of both methods were …

Detection Of Covid-19 Based On Chest Medical Imaging And Artificial Intelligence Techniques, Nawres Alwash, Hussain Kareem

Engineering and Technology Journal

The emergence of COVID-19 disease in the world has moved the wheel of scientific research in order to detect it in the best method, and the fastest of these methods is the use of Artificial Intelligence (AI) techniques to help medical professionals detect COVID-19. The proposed topic is aim to develop algorithm based on combination between imageprocessing techniques with artificial intelligence to diagnose COVID-19. The proposed algorithm consists of five stages to detect and classify COVID-19 from Computer Tomography (CT) images. These stages include; The first of these stages is to collect data from hospitals as real data and from …

Design And Implementation Of The Temperature Sensor For Health Care Monitoring Based On Optical Fiber Technology, Dawood Ahmed, Alaa Ali, Shehab Kadhim, Sawsan Fandi

Engineering and Technology Journal

Human health is represented due to the measurement of vital signs. The basic vital signs are temperature, heart pulse rate, oxygen percentage in blood, blood pressure, etc. These signs are changes according to the physical and mental status of the individual. So measuring and monitoring those signs are very important. In this work, design and implementation of human Temperature Sensor are submitted. This is achieved using optical fiber technology. Two sensor diameters were tested; 125 µm and 60µm. The obtained results show a shifting in wavelength towards the red region due to temperature application. The submitted sensor has good sensitivity …

Field Oriented Control Of Afpmsm For Electrical Vehicle Using Adaptive Neuro-Fuzzy Inference System (Anfis), Nagham Farhan, Abdulrahim Humod, Fadhil Hasan

Engineering and Technology Journal

Axial Flux Permanent Magnet Synchronous Motor (AFPMSM) are very attractive candidates for driving applications due to their high efficiency, high torque-to-weight ratio, high power density, small magnetic thickness, and simplicity of construction. On the other hand, AFPMSM produces undesirable torque ripple in the developed electromagnetic torque, affecting their output performance. An intelligent control method is proposed in this paper to reduce torque ripple and improve the dynamic performance of AFPMSM.  The vector control, employing the Field Oriented Control (FOC) technique, was used to improve the dynamic performance of the AFPMSM. The speed and torque controllers are achieved using the decoupling …

A Visual Enhancement Quality Of Digital Medical Image Based On Bat Optimization, Kholood Hussin, Ali Nahar, Hussain Khleaf

Engineering and Technology Journal

Improve medical image visualization is a critical preliminary step before further imagery processing like analyzing texture, extracting features, and segmentation. Imagery noises in medical images are frequently occurred as a consequence of different artificial processes such as acquisition, sending and receiving, and storing & retrieving processes. As a result, the quality of image visualization is degraded. Therefore, a de-noise process is important in order to maintain good image quality for medical purposes. In this paper, medical image enhancement aims to de-noise as much as possible while maintaining detailed features and edges. This work employed an optimization algorithm called "Bat" to …

A Study Of Patient’S Pain Assessment Based On Facial Expression: Issues And Challenges, Elaf Saddam, Saad Mutashar, Wissam Ali

Engineering and Technology Journal

Pain is considered as an emotional experience and a restless feeling associated with tissue damage. When the interpretation begins in the brain, the sensation of pain occurs; a signal transmitted to the brain through the nerve fiber. Pain helps the body to stop further damage to the tissues. Since there are numerous ways to convey and feel pain, the perception of pain is special to all. Technology that promotes pain assessment is an urgent need to reduce restless feelings and suffering. This paper aims to demonstrate the issues and challenges facing the patient’s pain assessment based on facial expression. The …

A Proposed Channel Estimation Based On Enhanced Sub-Carrier Index Modulation And Packet-Discrete Wavelet Transform To Minimize Bit Error Rate, Ansam Jabbar

Engineering and Technology Journal

For Orthogonal Frequency Division Multiplexing (OFDM) and other communication systems, many estimating approaches have been developed to estimate the channel state information and lower the Bit Error Rate (BER). These estimating methods, however, are still subject to the influence of large peak powers compared to average powers. Reduced computational complexity is one of the most significant factors to consider while developing a new estimate algorithm. This study aims to provide a novel design of the Packet-Discrete Wavelet Transform (P-DWT) algorithm for channel estimation in wireless OFDM instead of the fast Fourier transform (FFT). It is presented to retrieve the code …

Signaling Load Reduction In 5g Network And Beyond, Mohammed Waheed, Azzad Saeed, Thanaa Abd

Engineering and Technology Journal

A huge traffic flow in the next generation network is anticipated due to the rising in number of users and the new services that need low end-to-end latency causing a large signaling load on the Core Network (CN). In order to mitigate this issue, many revolutionary architectures have been proposed to reduce this burden such as Cloud Radio Access Network (C-RAN). In this paper, a new C-RAN distributed core network architecture has been proposed by splitting some CN functions and grouping them into one location with Base Band Units (BBUs). As a measure of testing the proposed architectures and by …

Power Optimization Of Binary Multiplier Based On Fpga, Fadi Nasser, Ivan Hashim

Engineering and Technology Journal

In the VLSI circuits, power dissipation is a critical design parameter and it plays a vital role in the performance of different digital systems. The decrease in chip size along with the increase in chip density and complexity will increase the difficulty in designing higher performance and low power digital systems. Therefore, achieving a fast and low power system is the major concern of VLSI designers. Most of the digital systems have different math operations in their architectures. This paper focuses on the multiplication operation. Multiplication requires more iterations, long time, large area, and consumes high power of the digital …

A Survey In Implementation And Applications Of Electroencephalograph (Eeg)-Based Brain-Computer Interface, Samaa Abdulwahab, Hussain Khleaf, Manal Jasim

Engineering and Technology Journal

A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves in the body. This is useful for individuals with mobility issues. Traditional BCI has been dependent only on recording brain signals with Electroencephalograph (EEG) and has used a rule-based translation algorithm to generate control commands. These systems have developed very accurate translation systems. This paper is about the different methods for adapting the signals from the brain. It has been mentioned that …

Fpga Implementation Of Modified Reconfigurable Adaptive Gain Scheduling Controller, Ali Wheed, Abbas Issa, Mohammed Y.

Engineering and Technology Journal

This article aims to put forward a modified type of adaptive gain scheduling that will be able to deal with the immeasurable and unpredictable variations of system variables by adapting its value at each time instance to follow any change in the input and overcome any disturbance applied to the system without the need to predetermine gains values. In addition, the inverse neural controller will precede the gain scheduling to eliminate the need for complex system linear zing and parameter estimation. Therefore, the problems of needing complex mathematics for system linearization and gains calculations have been solved. The performance of …

A Study About E-Commerce Based On Customer Behaviors, Zainab Mohammed, Suhad Kadhem

Engineering and Technology Journal

E-commerce is one of the new virtual technologies that make life simpler for both traders, marketers, and customers. However, the main problem for the seller was how to know customer's intentions when they enter the website. This paper proposed to predict whether customers make a purchase or not from their previous behaviors.  Therefore, this paper aims to predict the intentions of users that using online -shopping. the main aim of this study is to highlight customer behaviors to predict purchases and make a compression between the works that are related to the subject of this paper to conclude and suggest …

Intrusion Detection System For Nsl-Kdd Dataset Based On Deep Learning And Recursive Feature Elimination, Bilal Mohammed, Ekhlas Gbashi

Engineering and Technology Journal

Intrusion detection system is responsible for monitoring the systems and detect attacks, whether on (host or on a network) and identifying attacks that could come to the system and cause damage to them, that’s mean an IDS prevents unauthorized access to systems by giving an alert to the administrator before causing any serious harm. As a reasonable supplement of the firewall, intrusion detection technology can assist systems to deal with offensive, the Intrusions Detection Systems (IDSs) suffers from high false positive which leads to highly bad accuracy rate. So this work is suggested to implement (IDS) by using a Recursive …

Real-Time Hand Gesture Extraction Using Python Programming Language Facilities, Azher Fahad, Hassan Hassan, Salma Abdullah

Engineering and Technology Journal

Hand gesture recognition is one of communication in which used bodily behavior to transmit several messages. This paper aims to detect hand gestures with the mobile device camera and create a customize dataset that used in deep learning model training to recognize hand gestures. The real-time approach was used for all these objectives: the first step is hand area detection; the second step is hand area storing in a dataset form to use in the future for model training. A framework for human contact was put in place by studying pictures recorded by the camera. It was converted the RGB …

Wheelchair Movement Based On Convolution Neural Network, Maisaa Kodher, Jammila Saud, Hani Hassan

Engineering and Technology Journal

This paper intends to develop a methodology for helping amputees and crippled people old, by ongoing voice direction and association between patient and personal computer (PC) where these blends offer a promising response for helping the debilitated people. The major objective of this work is accurately detected audio orders via a microphone of an English language (go, stop, right and left) in a noisy environment by the proposed system. Thus, a patient that utilizes the proposed system can be controlling a wheelchair movement. The venture depends on preparing an off-line dataset of audio files are included 10000 orders and background …

Optimized Pid Control Of Quadrotor System Using Extremum Seeking Algorithm, Abdullah Muhsen, Safanah Raafat

Engineering and Technology Journal

This paper presents the development of an automatic tuning of conventional PI-D controllers for Quadrotor system. The most critical problem of tuning the parameters of the PID, is that they can drastically affect the performance of the system. Accordingly, Extremum seeking (ES) algorithm is utilized here to reduce a selected cost function that brings the required performance aspects. The results show that the ES-PID controller provides better stability and performance as compared with only PI-D controller. The parameters of ES-PID controller have been successfully tuned and modified to reach the desired destination with significantly less overshoot, oscillations, and faster convergence.

Dynamic Power Consumption In Cmos N Bit Full-Adder Circuit, Amal Hasan, Qusay Al-Doori

Engineering and Technology Journal

This paper discusses power consumption in the full adder circuit using some fabrication technologies. Though many studies related to power consumption in the full adder circuit were performed, however, few investigations about the effect of the number of bits on the power consumption are addressed. In this paper, the effect of changing the number of bits on the power consumption and time delay of the full adder circuit will be observed and the effect of changing the technology size is going to be calculated. The results will show that there is a direct relationship between the number of bits and …

Secured Medical Image Hashing Based On Frequency Domain With Chaotic Map, Amira Jabbar, Ashwaq Hashim, Qusay Al-Doori

Engineering and Technology Journal

Recently, online-medicine got increased global interest, particularly during COVID19 pandemic. Data protection is important in the medical field since when promoting telemedicine applications, it is necessary to protect the patient data and personal information. A secured process is needed to transmit medical images over the Internet. In this paper hash algorithm is employed to protect the data by using powerful features from the coupled frequency domains of the Slantlet Transformation (SLT) and the Discrete Cosine Transform (DCT). The Region of Interest (ROI) is localized from an MRI image then extraction of a feature set is performed for calculating the hash …