Data Storage Systems Commons^™

Cloud Computing For Supply Chain Management And Warehouse Automation: A Case Study Of Azure Cloud, Pawankumar Sharma

International Journal of Smart Sensor and Adhoc Network

In recent times, organizations are examining the art training situation to improve the operation efficiency and the cost of warehouse retail distribution and supply chain management. Microsoft Azure emerges as an expressive technology that leads optimization by giving infrastructure, software, and platform resolutions for the whole warehouse retail distribution and supply chain management. Using Microsoft Azure as a cloud computing tool in retail warehouse distribution and supply manacle management contributes to active and monetary benefits. At the same time, potential limitations and risks should be considered by the retail warehouse distribution and the supply chain administration investors. In this research …

Data Integration Based Human Activity Recognition Using Deep Learning Models, Basamma Umesh Patil, D V Ashoka, Ajay Prakash B. V

Karbala International Journal of Modern Science

Regular monitoring of physical activities such as walking, jogging, sitting, and standing will help reduce the risk of many diseases like cardiovascular complications, obesity, and diabetes. Recently, much research showed that the effective development of Human Activity Recognition (HAR) will help in monitoring the physical activities of people and aid in human healthcare. In this concern, deep learning models with a novel automated hyperparameter generator are proposed and implemented to predict human activities such as walking, jogging, walking upstairs, walking downstairs, sitting, and standing more precisely and robustly. Conventional HAR systems are unable to manage real-time changes in the surrounding …

Enhancing Query Processing On Stock Market Cloud-Based Database, Hagger Essam, Ahmed G. Elish, Essam M. Shaban

Future Computing and Informatics Journal

Cloud computing is rapidly expanding because it allows users to save the development and implementation time on their work. It also reduces the maintenance and operational costs of the used systems. Furthermore, it enables the elastic use of any resource rather than estimating workload, which may be inaccurate, as database systems can benefit from such a trend. In this paper, we propose an algorithm that allocates the materialized view over cloud-based replica sets to enhance the database system's performance in stock market using a Peer-to-Peer architecture. The results show that the proposed model improves the query processing time and network …

Max Fit Event Management With Salesforce, Akshay Dagwar

Electronic Theses, Projects, and Dissertations

MAX FIT Gym is looking for an event management software program to help manage activities very efficiently, along with attendees and environmental statistics. The event management program is developed and deployed using the Salesforce platform. MAX FIT can efficiently create, edit, and remove events and send email alerts to clients. This task operated on opportunities captured under MAX FIT, including all clients, and prepared information in the Salesforce cloud. This also includes product inventory with various varieties of protein products, and business owners can also add more products to their inventory. In the event management program, the event addresses within …

Blockchain Games: What On And Off-Chain Factors Affect The Volatility, Returns, And Liquidity Of Gaming Crypto Tokens, Sumer Sareen

CMC Senior Theses

Blockchain games took the internet by storm as they offered a new way for users to play video games, own the assets in those games, and benefit monetarily from their efforts. Through Non-Fungible Tokens (NFTs) and cryptocurrencies, new, Web3 games ushered in a unique asset class for retail and institutional investors to diversify into and benefit from. This paper uses cross-sectional data from 30 blockchain gaming companies to identify on and off-chain factors that affect the company’s token volatility, returns, and liquidity. A multiple linear regression found the percentage of tokens dedicated to a company’s private sale and rewarding users, …

Hybrid Life Cycles In Software Development, Eric Vincent Schoenborn

Culminating Experience Projects

This project applied software specification gathering, architecture, work planning, and development to a real-world development effort for a local business. This project began with a feasibility meeting with the owner of Zeal Aerial Fitness. After feasibility was assessed the intended users, needed functionality, and expected user restrictions were identified with the stakeholders. A hybrid software lifecycle was selected to allow a focus on base functionality up front followed by an iterative development of expectations of the stakeholders. I was able to create various specification diagrams that express the end projects goals to both developers and non-tech individuals using a standard …

Modeling The Impact Of The Covid-19 Pandemic On Speeding At Rural Roadway Facilities In Maine Using Short-Term Speed And Traffic Count Data., Amirhossein Shahlaeegilan

Electronic Theses and Dissertations

The COVID-19 pandemic caused a significant change in traffic operations and safety. For instance, various U.S. states reported an increase in the rate of fatal and severe injury crashes over this duration. In April and May 2020, the comprehensive stay-at-home orders were issued across the country, including in Maine. These orders resulted in drastic reductions in traffic volume,switching working policies of noticeable number of corporations and educational administrations like universities to the remote working, closure of many organizations during the lockdown period, and people avoidance to public places to suppress the possible exposure to the virus were among the most …

A Comparative Study On Blockchain-Based Electronic Health Record Systems: Performance, Privacy, And Security Between Hyperledger Fabric And Ethereum Frameworks, Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Xia Li

Master of Science in Software Engineering Theses

Traditional data collection, storage, and processing of Electronic Health Records (EHR) utilize centralized techniques that pose several risks of single point of failure and lean the systems to a number of internal and external data breaches that compromise their reliability and availability. Addressing the challenges of conventional database techniques and improving the overall aspects of EHR application, blockchain technology is being evaluated to find a possible solution. Blockchain refers to an emerging distributed technology and incorruptible database of records or digital events which execute, validate, and maintain by a ledger technology to provide an immutable architecture and prevent records manipulation …

Mitigating Popularity Bias In Recommendation With Unbalanced Interactions: A Gradient Perspective, Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu

Research Collection School Of Computing and Information Systems

Recommender systems learn from historical user-item interactions to identify preferred items for target users. These observed interactions are usually unbalanced following a long-tailed distribution. Such long-tailed data lead to popularity bias to recommend popular but not personalized items to users. We present a gradient perspective to understand two negative impacts of popularity bias in recommendation model optimization: (i) the gradient direction of popular item embeddings is closer to that of positive interactions, and (ii) the magnitude of positive gradient for popular items are much greater than that of unpopular items. To address these issues, we propose a simple yet efficient …

Redefining Research In Nanotechnology Simulations: A New Approach To Data Caching And Analysis, Darin Tsai, Alan Zhang, Aloysius Rebeiro

The Journal of Purdue Undergraduate Research

No abstract provided.

Data Scarcity In Event Analysis And Abusive Language Detection, Sheikh Muhammad Sarwar

Doctoral Dissertations

Lack of data is almost always the cause of the suboptimal performance of neural networks. Even though data scarce scenarios can be simulated for any task by assuming limited access to training data, we study two problem areas where data scarcity is a practical challenge: event analysis and abusive content detection} Journalists, social scientists and political scientists need to retrieve and analyze event mentions in unstructured text to compute useful statistical information to understand society. We claim that it is hard to specify information need about events using keyword-based representation and propose a Query by Example (QBE) setting for event …

Research On The Early Warning And Intervention Of Learning Crisis Based On Smart Classroom, Tan Aiping, Wang Sainan

International Journal of Computer and Communication Technology

Under the normal state of online and offline integrated learning of open courses, the low participation of learners and low learning results are hot issues that scholars in the industry pay more attention to. Accurate learning crisis warning and personalized teaching intervention are important measures to solve the above problems and improve teaching quality. Based on the analysis of the shortcomings of the existing learning early warning and teaching intervention, this study constructs a research framework of online open course learning early warning and intervention under the intelligent classroom learning environment. The framework diagnoses and warns learners' learning state from …

Towards Qos-Based Embedded Machine Learning, Tom Springer, Erik Linstead, Peiyi Zhao, Chelsea Parlett-Pelleriti

Engineering Faculty Articles and Research

Due to various breakthroughs and advancements in machine learning and computer architectures, machine learning models are beginning to proliferate through embedded platforms. Some of these machine learning models cover a range of applications including computer vision, speech recognition, healthcare efficiency, industrial IoT, robotics and many more. However, there is a critical limitation in implementing ML algorithms efficiently on embedded platforms: the computational and memory expense of many machine learning models can make them unsuitable in resource-constrained environments. Therefore, to efficiently implement these memory-intensive and computationally expensive algorithms in an embedded computing environment, innovative resource management techniques are required at the …

Implementation Of Outcome Based Education For The Course Digital Image Processing, Bageshree Pathak, Prachi Mukherji, Sandhya Potadar

Graduate Research in Engineering and Technology (GRET)

Achieving Outcome Based Education (OBE) in engineering education is a challenging task for the instructor. The cycle starts from the process of curriculum design for the course ‘Digital Image Processing’ by incorporating the inputs from different stake holders. Program Outcomes (POs) and Program Specific Outcomes (PSOs) are attained through balanced course design and achieving the Course Outcomes by various evaluation methods. The next challenge is to improve the traditional teaching learning methods by implementation of innovative techniques for effective delivery of the course and to increase the engagement of the students. Students should be able to apply, analyze and evaluate …

Inculcating Research Culture With An Outcome-Oriented Technical Project Evaluation Framework, Pritish Vibhute, Sumeet Gupta, Muzffarali Sayyad, Snehal Gondkar

Graduate Research in Engineering and Technology (GRET)

The Outcome of the Teaching-Learning Process of any specific subject or course is measured using a standard statistical method, the majority of which relies on the marks obtained by each learner, according to procedures and guidelines defined by numerous national-international consortiums, boards, or councils for Outcome-Based Education (OBE). Rarely has it been linked to documentary evidence demonstrating the attainment of competency expected to emerge following successful completion of the course. At the same time, a significant number of technical institutes across India are in desperate need of good research, which leads to massive publications, IPR, startups, and cash. For the …

Importance Of Students’ Feedback For Modifying Course Syllabus And Revising Curriculum Of Ug Electronics And Telecommunication Engineering Programme, Prachi Mukherji, Vidya Sisale

Graduate Research in Engineering and Technology (GRET)

The goal of education is to create an environment that assists teaching and learning. Modification of courses, and Course Outcomes is necessary to cater to the changing needs of students and enhance their learning experience. Under academic, freedom to change the curriculum in resonance with industry needs and current trends makes the student more skilled, knowledgeable, and employable. Feedback is a traditional way of making improvements in the educational field. This paper gives direction on the use of Students’ feedback for revising the curriculum and modifying the Course Outcomes for the Undergraduate program in Electronics and Telecommunication Engineering. We have …

Active Learning Strategies/Pedagogy, Pallavi Chavan, Priyanka Kadam

Graduate Research in Engineering and Technology (GRET)

This research explores the practices like teaching style, attainment and assessment which covers the various aspects of teaching methods, and there are many Strategies to pedagogy. The study of different teaching methods, phenomena is termed as pedagogy. The skills such as application of knowledge, analysis and synthesis helps to promote higher order thinking. This study aims to the current pedagogical practices that enhancing students’ intellectual quality with regard to obtain insightful information. Actively involving of Learners in learning process, Constructivist, collaborative, inquired-based, integrative, and reflective. In active learning process, learners are involved actively in the process of different levels like …

Use Of Assignment Mode For Effective Assessment Of Students To Achieve Course Outcomes, Namrata Karandikar, Pradnya Nanavare

Graduate Research in Engineering and Technology (GRET)

To ensure the quality learning of students, course outcome assessment is vital element of outcome based education. To achieve course outcomes, various modes of pedagogy and assessment are essential. There are different modes of assessment for In-semester examination like multiple choice questions, time bound pen and paper, presentations, seminars, assignment etc. This paper explains the use of assignment mode for effective assessment of students. This paper highlights how assignment mode helps students to apply concepts taught in classroom to solve various problems on applications of engineering mathematics. We had done assessment of 610+ F. Y. B. Tech students by giving …

Enhancement Of Concentration In Studies Through Simple Games - An Innovative Pedagogy Methodology, Bharatbhushan Joshi, Chandra Bhople, Sanjivani Shastri

Graduate Research in Engineering and Technology (GRET)

It is often observed that the students of new generation have large number of distractions. This leads to lesser concentration on what they are studying and it effects into lesser assimilation of subject matter, lesser confidence and lesser overall performance. It is a well-known fact that assimilation increases with increase in concentration. In order to improve the performance of students in whatever they do, we planned to use some innovative methods for improving their concentration. We experimented this on the fresh batch of students that was admitted in 2018-19 to increase their concentration and built-up their confidence through a new …

Case Study Based Learning For System Development, Nivedita Daimiwal, Revati Shriram

Graduate Research in Engineering and Technology (GRET)

The presented case study based activity supports collaboration between students. Case study based activity consists of a story of an organization and how the problem is solved by using planning strategy, coordination and using any advance system for example management information system is a subject which can be taught using the case study based activity .Outcome to analyse the problem, develop problem solving capabilities and to take appropriate decision that leads to success.

The student’s role is to read and explore case study. Participate in online discussions, lead a discussion, engage in classroom discussion and present their reflections. Finally the …