Digital Commons @ Harrisburg University of Science and Technology
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    435 research outputs found

    SIGHT HELPER

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    Stock Investment Helper

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    Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making

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    This paper examines consumers’ attention traces (e.g., sequences of eye fixations and saccades) during choice. Due to reduced equipment cost and increased ease of analysis, attention traces can reflect a more fine-grained representation of decision-making activities (e.g., formation of a consideration set, alternative evaluation, and decision strategies). Besides enabling a better understanding of actual consumer choice, attention traces support more complex models of choice, and point to the prospects of specific interventions at various stages of the choice process. We identify and discuss promising areas for future research

    Human Activity Recognition & Mobily Path Prediction

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    Individual Mobility is the study that depicts how individuals move inside a region or system. As of late a few researches have been accomplished for this reason and there has been a flood in enormous informational accessible in individual developments. Most of these information’s are gathered from cellphone or potentially GPS with variable accuracy relying upon the distance from the tower. Enormous scope information, for example, cell phone follows are significant hotspot for urban modeling. The individual travel designs breakdown into a solitary likelihood distribution however despite the assorted variety of their travel history people follow basic reproducible examples. This similitude in movement example can help us in an extremely different zones of utilizations, for example, city arranging, traffic building, spread of disease and versatile infections. The motive of this project is to show that by utilizing a measure of direct estimation that human directions do follow a few high reproducible scaling designs. Activity recognition expects to perceive the activities and objectives of at least one operator from a progression of perceptions on the specialists\u27 activities and the natural conditions. Human movement acknowledgment, which is one of the developing fields of research, plans to figure out which action is finished by people. Some true applications, for example, health monitoring, abnormal behavior detection, and sport. In this way, it is a troublesome issue given the enormous number of perceptions delivered each second, the fleeting idea of the perceptions, and the absence of an unmistakable method to relate accelerometer information to known developments. Keen PDAs presently fuse numerous different and ground-breaking sensors, for example, GPS sensors, vision sensors, sound sensors, light sensors, temperature sensors, course sensors and speeding up sensors. This project is about utilizations telephone-based accelerometers to perform activity recognition, which includes identifying the physical movement a user is performing

    Digital Dentistry- The Future of Oral Health

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    Background and objective: In the digital world, dentistry appears to be at least a decade behind in adopting the latest technologies in comparison to consumer electronics, biomedical engineering and aeronautics. However, recently, dental professionals have experienced the evolution of the dental profession as technological growth. Digital dentistry is the future of dentistry, and it will be essential to adopt and integrate technology into practice to improve the quality of care. The new generation of digital dentistry opens the exploration of innovations and advancement in technologies which will dramatically impact and improve all of dentistry. The objective of this paper is to describe advances, innovations, and the breadth of their impacts towards time and quality of care for both patients and dentists. Materials & methods: A cross-sectional, anonymous online survey was conducted using a self-administered, pre-tested, structured questionnaire. The questionnaire consisted of 11 multiple choice questions. The statistical relationships among the variables was analyzed using exploratory visualization (histograms, pie charts and bar charts), descriptive data analysis, and multivariate data analysis. Results: Almost all respondents used digital technologies in their daily practice. Most of them have noticed increased patient satisfaction with treatment outcomes. All responders were willing to use digital dentistry in the future. Conclusion: Although both conventional and digital dentistry have advantages and disadvantages, digital dentistry is notably superior in terms of accuracy and patient acceptance, and it will surely become the future of dentistry

    Towards High Performance Stock Market Prediction Methods

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    Stock markets of today, and will continue to in the future, rely on the metrics of timeliness and efficiency to reach optimal profits. A way stock investors have continued to strive for the best of these two factors of the business is through the use of predictive machine learning systems to help aid in their decision making. However, among the many systems currently in use, it could be said that the myriad of data that they are based on may not be sufficient. In an effort to devise an ensemble learning predictive system that will utilize an array of big data sources, we conducted research into the use of long-term short-term recurrent neural networks in stock prediction and planned experiments around the timeliness for it to be an effective implementation into our proposed predictive system

    A Software Factory in the Cloud for Pandemics and other Disasters – Initial Results and Future Directions

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    Pandemics such as COVID-19 and other disasters in this age require a wide range of cyber-physical solutions such as web portals, mobile apps, IoTs, robots and drones. These solutions need to be customized for different geographical locations with different capabilities and should be produced quickly and at massive scales to meet the specific demands of the disasters. To complicate matters further, several government policies and industry guidelines regulate the deployment and use of such solutions. It is virtually impossible to handcraft the needed solutions individually and manually. A factory model is needed to rapidly build highly customized solutions very much like the auto factories that build millions of highly customized cars to satisfy needed safety requirements. In the same vein, this paper presents initial results from a software factory in the cloud that has produced a Smart Global Village (SGV) with more than 700 smart hubs for 130 countries that span 12 sectors, including disaster management. These highly customized smart hubs, created by using the SPACE Factory in less than 20 minutes per hub, also collaborate with each other that leads to highly creative B2B collaborations at global level. The paper discusses initial results from creating the SGV sandbox by using a factory model and outlines future research directions

    UPRISING DIGITAL CYBER-ATTACKS AND STAGNANT CYBER LAWS WORLDWIDE

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    Cybersecurity is vast area for research with multiple domains. Any individual can focus on minimum topics for research and it becomes cumbersome to follow various tools and technique. In this research paper, I have tried to focus on digital cybersecurity crime and terrorism efforts by hackers however there are numerous ways to minimize the hacking activities. To reduce such attacks and understand the chronology, research paper will display research and understanding

    The Difficulty With Introducing Project Management Techniques in Digital Startups

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    Digital startups face complex issues when it comes to accurately using project management techniques because of the startup’s scarcity of resources and the governance of projects , such as having different stages of growth and development. Since project management is needed in almost all businesses, dealing with this problem is important to improve the growth of startups and their organizational issues. Because of the correlation between startups using traditional project management techniques and their problems with implementing project management, this traditional model might not be relevant for startups. Startups seem to require more flexible and quick solutions to project management, suggesting that agile methods might be the right way for most digital startups to use project management. By looking at how different startups in different stages of development deal with problems in implementing project management by use of a qualitative research study, this paper looks to back the statement that the way that startups function leads to issues with implementing project management. Looking at how different startups have dealt with these problems might suggest where and in which stage the problem lies, leading to the possible solution of project management difficulty in startups

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