Digital Commons Network^™

Traffic Impact Assessment System Using Yolov5 And Bytetrack, Jin Jie Ng, Kah Ong Michael Goh, Connie Tee

Journal of Informatics and Web Engineering

Monitoring software for traffic is not too much in this era of digital. Even cheaper is decent traffic monitoring software. You can gauge the quality of the software. It should be possible to assess the code's performance outside of a test environment. The most useful metrics are frequently those that support the program's ability to fulfil business requirements. Therefore, this project is planning to develop a traffic assessment system. The main purpose of development is to improve heavy traffic in this country – Malaysia. This system includes function vehicle detection using YOLOv5, vehicle counting with a different type (such as …

Enhancing Migraine Management System Through Weather Forecasting For A Better Daily Life, Wen-Xuan Ong, Sin-Ban Ho, Chuie-Hong Tan

Journal of Informatics and Web Engineering

A migraine is a severe, throbbing, or pulsing headache that typically affects one side of the head. A migraine attack can be so painful that it interferes with daily activities and can last for hours or even days. Migraine is a common health issue that affects approximately 1 in every 5 women and 1 in every 15 men. Additionally, millions of people worldwide suffer from migraine attacks due to the inability to anticipate or adapt to their environment. In today's globalized world, mobile phones have become a necessity for the general public, enabling communication, internet shopping, food purchases, and even …

Multi-Label Classification With Deep Learning For Retail Recommendation, Zhi Yuan Poo, Choo Yee Ting, Yuen Peng Loh, Khairil Imran Ghauth

Journal of Informatics and Web Engineering

Selecting the right retail business for a location is crucial for the success of a business because it determines the likelihood of favourable return on investment. One common approach used in retail recommendation is multi-class classification, where retail businesses are categorized into different classes or categories based on various features or attributes. Existing research in the field of retail recommendation has extensively proposed and evaluated different algorithms, techniques, and approaches for multi-class classification in the context of retail recommendation, however, limited work has been focusing on formulating retail recommendation as a multi-label problem. This is because in retail recommendation, one …

Utilizing Fuzzy Algorithm For Understanding Emotional Intelligence On Individual Feedback, Elham Abdulwahab Anaam, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen, Rasha Thabit

Journal of Informatics and Web Engineering

Although previous studies looked at how employees should seek assistance, the issue is the researchinvestigation into how behavioral intelligence affects employee satisfaction is limited. This study examines several significant usages and developments of fuzzy mental modelling. The primary objective of the current section is to provide an innovative technique for modelling an emotion-based acceleration of the compressor for individuals. Methodologies of experiential thinking postulate that our comprehension of facial emotional reactions depends significantly on facial behavior imitation and the reactions as opportunities. Considering the theoretical foundations of combined logical reasoning. In addition, the hypothesis of probability, it additionally is not …

Face And Facial Expressions Recognition System For Blind People Using Resnet50 Architecture And Cnn, Jia-Rou Lee, Kok-Why Ng, Yih-Jian Yoong

Journal of Informatics and Web Engineering

Many blind individuals have difficulties in recognizing people’s facial expression which may impact their social interaction. With the recognition, the blind individuals can accurately interpret and respond to the emotions. There is a lack in the existing application with the combination of face and facial expressions recognition. The blind individuals have to rely on multiple applications to accomplish the same task, making it difficult and time-consuming for them to use. The paper aims to recognize faces and facial expressions for blind individuals and provides feedback in real-time. Three face detection algorithms of Haar Cascade Classifier, Dlib, and RetinaFace are compared. …

Impact Of Green Building Certification On The Rent Of Commercial Properties: A Review, Thebuwena Arachchige Chandana Hemantha Jayakody, Anthony Vaz

Journal of Informatics and Web Engineering

The world is currently facing two major problems, namely, increasing energy costs and global warming. As a result, it is crucial to take proactive measures to effectively address and mitigate the detrimental impacts arising from elevated energy costs, the pressing issue of global warming, and various types of environmental degradation. As a reaction, international organizations are advocating for the development of eco-friendly, sustainable, or green buildings as a strategy to reduce the harmful effects of the construction sector on the environment. While green development may entail higher costs for developers, it is imperative to evaluate the return on investment from …

A Cost-Based Dual Convnet-Attention Transfer Learning Model For Ecg Heartbeat Classification, Johnson Olanrewaju Victor, Xinying Chew, Khai Wah Khaw, Ming Ha Lee

Journal of Informatics and Web Engineering

The heart is a very crucial organ of the body. Concerted efforts are constantly put forward to provide adequate monitoring of the heart. A heart disorder is reported to cause a lot of hidden ailments resulting in numerous deaths. Early heart monitoring using an electrocardiogram (ECG) through the advancement of computer-aided diagnostic (CAD) systems is widely used. Meanwhile, the use of human reading of ECG results are faced with many challenges of inaccurate and unreliable interpretations. Over two decades, studies provided artificial intelligence (AI) technique using machine learning (ML) algorithms as a fast and reliable technique for ECG heartbeat classification. …

A Marker Free Visual-Based Home Rehabilitation Framework, Roy Kwang Yang Chang, Kok Swee Sim, Siong Hoe Lau

Journal of Informatics and Web Engineering

Adhesive capsulitis or more commonly known as frozen shoulder, is a familiar occurrence for adults aged above 40 caused by the inflammation of the connective tissues surrounding the shoulder joint. There are different severity of adhesive capsulitis but patients afflicted with frozen shoulder typically will experience stiffness, severe pain, and reduced range of motion (ROM) for the shoulder. No matter the course of treatment being non-steroidal anti-inflammatory drugs (NSAIDs) or steroid injections, which can help reduce the inflammation and reduce pain, in order to restore ROM for the afflicted shoulder joint, rehabilitation exercises need to be performed. Even without the …

Engaging Learning Experience: Enhancing Productivity Software Lessons With Screencast Videos, Usha Vellappan, Lim Liyen, Lim Su Yin

Journal of Informatics and Web Engineering

The use of screencast videos can improve the effectiveness of the teaching and learning process, whether it is face-to-face or online. Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. It eliminates the need for educators to repeat information multiple times and creates an uninterrupted personalised learning environment for the students. This method of learning gives students a more personalised sense, as if they were given one-on-one guidance from the educator, with students having access to the educator and receiving immediate feedback during …

Workplace Preference Analytics Among Graduates, Sin-Yin Ong, Choo-Yee Ting, Hui-Ngo Goh, Albert Quek, Chin-Leei Cham

Journal of Informatics and Web Engineering

Graduates often find themselves difficult to secure a job after completing their education at universities or colleges. In this light, researchers have proposed various solutions to address this challenge. However, most of the work has largely focused on academic profile and personality traits; very few have highlighted the importance of workplace location characteristics. To address this challenge, this study has employed feature selection and machine learning approach to help graduates identify desired company type and sector based on their preferences and preferred location. The data used in this study was obtained from the Ministry of Higher Education Graduates Tracer Study's …

Qr Food Ordering System With Data Analytics, Chee-Chun Wong, Lee- Ying Chong, Siew-Chin Chong, Check-Yee Law

Journal of Informatics and Web Engineering

As the epidemic starts to slow down and Malaysians are more confident about containing the outbreak with the norm of vaccination, diners have been aching to return to dining rooms, with many restaurants functioning at full capacity, but staffing is an entirely different story. As restaurateurs try to keep their businesses running at full speed and solve limited staff issues, there is only one solution: process automation. This paper aims to design a food ordering system that covers the benefits of automating the ordering process using the QR code and provides visualised insightful information based on the business data. Customers …

Charting The Landscape Of Ventral Stream Neural Code On Generative Image Manifolds, Binxu Wang

Arts & Sciences Graduate Student Theses and Dissertations

The natural world features high-dimensional retinal inputs to the visual system. In contrast, to study vision in the lab, only sparsely sampled image sets are used. Given this immense natural image manifold, what is a principled way to sample and understand the neural representations on it? In this thesis, we frame the neural coding question in a geometric way. Neural tuning can be conceptualized as a landscape on the natural image manifold, and generative models such as GANs provide a concrete instantiation of the manifolds. We hypothesized that the maximally activating images or peaks on these landscapes are critical for …

Managing Fires And Ecosystems Indigenous Fire Ecologies Session_Greenhouse Gas Emissions From Wildland Fires Workshop, Cynthia Twyford Fowler

Faculty Scholarship

No abstract provided.

Lower Back Pain Imaging: A Readability Analysis, Michael J. Valentine, Gannon Cottone, Hunter D. Kramer, Ankur Kayastha, James Kim, Nicholas Pettinelli, Robert C. Kramer

Student Publications

Purpose: The internet provides access to a myriad of educational health-related resources which are an invaluable source of information for patients. Lower back pain is a common complaint that is discussed extensively online. In this article, we aim to determine if the most commonly accessed articles about lower back pain imaging use language that can be understood by most patients. According to the American Medical Association (AMA) and National Institute of Health (NIH), this corresponds to a sixth-grade reading level.

Methods: Online searches were conducted from the most commonly used search engine, Google, to assess the present state of readability …

Pathogen-Driven Crispr Screens Identify Trex1as A Regulator Of Dna Self-Sensing During Influenza Virus Infection, Clayton Mickelson, Autumn E Sanders, Tony Hu, Srishti Gupta, Ryan A Langlois, Judith A Smith, Andrew Mehle

Faculty, Staff and Student Publications

Host:pathogen interactions dictate the outcome of infection, yet the limitations of current approaches leave large regions of this interface unexplored. Here, we develop a novel fitness-based screen that queries factors important during the middle to late stages of infection. This is achieved by engineering influenza virus to direct the screen by programming dCas9 to modulate host gene expression. Our genome-wide screen for pro-viral factors identifies the cytoplasmic DNA exonuclease TREX1. TREX1 degrades cytoplasmic DNA to prevent inappropriate innate immune activation by self-DNA. We reveal that this same process aids influenza virus replication. Infection triggers release of mitochondrial DNA into the …

Energy Extraction From Black Holes By Cosmic Strings, Michael Ramsey

Discovery Day

Cosmic strings, speculative one-dimensional objects, are thought to result from spontaneous, electroweak symmetry-breaking phase transitions in the early universe. If cosmic strings exist, they could extract energy from spinning black holes via the Penrose process. Although theoretically motivated, cosmic strings have not yet been observed. We propose an indirect method of observing a cosmic string by investigating a pulsar-black hole binary system, using high precision observations of pulsars. We then aim to place bounds on cosmic string abundance and tension.

Cultural Legacies In The Amazonian Holocene: A Paleoecological Perspective, S. Yoshi Maezumi

Sustainability Seminar Series

The extent to which Indigenous land use and cultural burning practices have altered modern ecosystems is a hotly debated topic in archaeology and paleoecology. To address this issue, an interdisciplinary approach combining archaeological, archaeobotany, palaeoecolgoy, and palaeoclimatology is used to investigate climate-human-ecosystem interactions in the Amazon. These data indicate Indigenous Amazonians employed diverse subsistence strategies that combined cultural burning, agroforestry, polyculture, and soil amelioration that maximized subsistence diversity without large-scale land clearing. These data provide evidence of resource diversification, improved food security, and sustainable anthropogenic landscapes during increased climate variability and expanding Indigenous populations during the late Holocene. These data …

Icc Agenda 9-12-23, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Bare-Bones Based Salp Swarm Algorithm For Text Document Clustering, Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh

Machine Learning Faculty Publications

Text Document Clustering (TDC) is a challenging optimization problem in unsupervised machine learning and text mining. The Salp Swarm Algorithm (SSA) has been found to be effective in solving complex optimization problems. However, the SSA’s exploitation phase requires improvement to solve the TDC problem effectively. In this paper, we propose a new approach, known as the Bare-Bones Salp Swarm Algorithm (BBSSA), which leverages Gaussian search equations, inverse hyperbolic cosine control strategies, and greedy selection techniques to create new individuals and guide the population towards solving the TDC problem. We evaluated the performance of the BBSSA on six benchmark datasets from …

A Multinomial Modeling Approach To Assess Supplier Delivery Performance For Buyer-Supplier Alignment, Kuntal Bhattacharyya, Alfred L. Guiffrida, Milton Rene Soto-Ferrari, Paul Schikora

Faculty Research Articles

Purpose – Untimely delivery of goods and services, especially in a post-COVID landscape, is a critical harbinger of end-to-end fulfillment. Existing literature in supplier delivery modeling is focused on penalizing suppliers for late deliveries built into a contractual transaction, which eventually erodes trust. As such, a holistic modeling technique focused on long-term relationship building is missing. This study aims to design a supplier evaluation model that analytically equates supplier delivery performance to cost realization while replicating a core attribute of successful supply chains – alignment, leading to long-term supplier relationships. Design/methodology/approach – The supplier evaluation model designed in this paper …

College Of Liberal Arts Faculty Bylaws - Amended 09/12/23, College Of Liberal Arts Faculty, Rollins College

College of Liberal Arts Bylaws

No abstract provided.

The Role Of Leading-Edge Serrations In Controlling The Flow Over Owls’ Wing, Tanner Saussaman, Asif Nafi, David Charland, Hadar Ben-Gida, Roi Gurka

Physics and Engineering Science

We studied the effects of leading-edge serrations on the flow dynamics developed over an owl wing model. Owls are predatory birds. Most owl species are nocturnal, with some active during the day. The nocturnal ones feature stealth capabilities that are partially attributed to their wing microfeatures. One of these microfeatures is small rigid combs (i.e. serrations) aligned at an angle with respect to the incoming flow located at the wings' leading-edge region of the primaries. These serrations are essentially passive flow control devices that enhance some of the owls' flight characteristics, such as aeroacoustics and, potentially, aerodynamics. We performed a …

On Subset Labelings Of Trees, Gary Chartrand, Ebrahim Salehi, Ping Zhang

Mathematical Sciences Faculty Research

For a nontrivial graph G, a subset labeling of G is a labeling of the vertices of G with nonempty subsets of the set [r]={1, 2, ... , r} for a positive integer r such that two vertices of G have disjoint labels if and only if the vertices are adjacent. The subset index ρ(G) of G is the minimum positive integer r for which G has such a subset labeling from the set [r]. If T is a tree of diameter d, then ρ(Pd+1) ≤ ρ(T). It is shown that there are several classes of trees T of diameter …

The Structure Of A Lactobacillus Helveticus Chlorogenic Acid Esterase And The Dynamics Of Its Insertion Domain Provide Insights Into Substrate Binding, Kellie K. Omori, Charles T. Drucker, Tracie L. S. Okumura, Nathaniel B. Carl, Brianna T. Dinn, Destiny Ly, Kylie N. Sacapano, Allie Tajii, Cedric P. Owens

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Chlorogenic acid esterases (ChlEs) are a useful class of enzymes that hydrolyze chlorogenic acid (CGA) into caffeic and quinic acid. ChlEs can break down CGA in foods to improve their sensory properties and release caffeic acid in the digestive system to improve the absorption of bioactive compounds. This work presents the structure, molecular dynamics, and biochemical characterization of a ChlE from Lactobacillus helveticus (Lh). Molecular dynamics simulations suggest that substrate access to the active site of LhChlE is modulated by two hairpin loops above the active site. Docking simulations and mutational analysis suggest that two residues within …

Approved Programs 9-12-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Programs Agenda 9-12-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Ucc Minutes 9-12-23, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Approved Courses 9-12-23, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Teacher Workforce Profile In South Carolina For 2021-2022, Steve Barth, Angela Starrett, Christine Distefano, Jungsun Go

Reports

SC TEACHER published the first teacher workforce profile report in September 2020, drawing upon statewide education data from the 2018-2019 academic year to examine key demographics of the teachers across our state, with consideration of extant factors such as the geographic context of the districts (urban or rural) and average poverty level (lower or higher poverty) within the school.

This third workforce profile report utilizes statewide educational data from the 2021-2022 academic year to draw comparisons with the United States and the 2022 workforce profile report. The results provide a more thorough understanding of dissimilarities within the South Carolina teacher …

Innovations In Health-Care Service Delivery During The Pandemic, Taryn Vian, Ankita Meghani Phd

Nursing and Health Professions Faculty Research and Publications

The COVID-19 pandemic disrupted health service delivery as countries implemented lockdowns and issued stay-at-home orders. Despite attempts to make essential health services available throughout, the pandemic strained health systems and resulted in rampant shortages of health commodities, beds and health-care staff. There were concomitant declines in tuberculosis screening, HIV testing, and maternal and child health services.2 However, the global pandemic also accelerated the pace of innovation. Some initiatives served as stopgap measures implemented to maintain health services, whereas others helped leapfrog progress in the areas of health information systems, telemedicine, and regulatory policy, bringing efficiencies that could be applied even …