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Education, Criminal Justice, and Human Services
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- Type:
- Student Work
- 摘抄:
- Today we constantly use our phones to act as another form of verification. Unfortunately, this requires us to jump from device to device to prove that we have our phones. Dock Talk is a product that will communicate authentication codes, so the end user does not have to. This way, a user can set their phone down to charge and not have to worry about pesky authentication codes. By using NFC technology our dock will be able to receive authentication codes from the phone. If you are traveling and did not bring your dock with you, you will still be able to use old verification methods.
- 作者:
- Miller, Kyle; Jones, Tyler, and Dhital, Tek
- 提交者:
- CECH Library Service
- 上传日期:
- 06/22/2020
- 创建:
- 2019-04
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- 摘抄:
- If a relative were placed in a long-term healthcare facility tomorrow, we would all love to be able to communicate frequently with them over the web, wouldn’t we? In many places, we simply cannot. According to the Centers for Disease Control and Prevention (CDC), over eight million people receive some form of long-term care annually. Whether at a nursing home, adult service center, or mental health institution, long-term care has great importance in our society. Yet these facilities mostly operate using dated technology and software. We built CareLine to bridge that communication gap between families, patients, and caretakers. CareLine provides an innovative solution that features a mobile friendly site, built-in office appointment-making, text and video chat, and email notifications with automated updates as a means to ease the anxiety that comes with long-term care. CareLine is a sleek and modern web application that features a built-in calendar for office appointments, text and video chat, and email notifications with automated updates. It has a TypeScript front end with a NodeJS and Fastify back end and a Microsoft SQL Server database. Our app is HIPAA compliant and secured with modern authentication tools. CareLine is designed to increase the amount of communication between not only the family and their relatives in long-term care situations, but also the family and the facility's caretakers. There is a myriad of concerns that come along with these scenarios, which our app aims to ease. While we do not provide the care ourselves, we offer a platform to give families a direct line. CareLine is your line to care, right away
- 作者:
- Souders,Garrett; Thomas, Jeremy, and Moore, Merideth
- 提交者:
- CECH Library Service
- 上传日期:
- 06/22/2020
- 创建:
- 2019-04
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- 摘抄:
- Abstract This study is the first of a series of studies, collectively embodying a multiphase mixed methods design. The overall objective of these studies is to explore and address a variety of issues and features of the discipline of economics, particularly as they relate to and represent past present and future factors of globalization, education, citizenship, and society. This is done by collecting and analyzing data on numerous aspects of the undergraduate economics curriculum, economics as a discipline, and economics as applied in the real world. The overall purpose of these studies is to inform ongoing debates concerning the future of the discipline of economics and how it is taught, by examining and creating paradigms and methods that may be of aide. Additionally these studies collectively aim to outline, and in small ways develop, potential technological and organizational solutions for detailed longitudinal curriculum tracking. The frameworks employed and developed in these studies may eventually be scaled and adapted for all sorts of curricula. Ideally, the completion of this study’s overall objective yields practical insights and tools that empower faculty and departments, in economics and eventually in general, to better understand and design their own curriculum. This immediate study fills gaps in and updates data on the curriculum of undergraduate economics majors in U.S. institutions, while also establishing a baseline data set for future studies to build on. A qualitative census methodology is adapted and employed to explore how various institutional and program factors relate to certain types of major program requirements. Descriptive statistics are used for analysis, primarily to allow for comparisons to previous studies. In sum, the purpose of the data collected and analyzed in this census is to give a glimpse into the current state of the undergraduate economics curriculum in the U.S., and to inform the qualitative, quantitative, and transformative studies that are to follow in this multiphase series.
- 作者:
- Turner, Grant
- 提交者:
- Grant Turner
- 上传日期:
- 06/18/2020
- 更改日期:
- 06/18/2020
- 创建:
- 2018-05-19
- 证书:
- Attribution-NonCommercial-ShareAlike 4.0 International
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- Type:
- Student Work
- 摘抄:
- testing a theory
- 作者:
- Library Service, CECH
- 提交者:
- CECH Library Service
- 上传日期:
- 06/18/2020
- 证书:
- All rights reserved
-
- Type:
- Student Work
- 摘抄:
- 2019 CECH Senior Design Projects
- 作者:
- Library Service, CECH
- 提交者:
- CECH Library Service
- 上传日期:
- 06/18/2020
- 证书:
- All rights reserved
-
- Type:
- Student Work
- 摘抄:
- 2019 CECH Senior Design Projects
- 作者:
- Library Service, CECH
- 提交者:
- CECH Library Service
- 上传日期:
- 06/18/2020
- 证书:
- All rights reserved
-
- Type:
- Student Work
- 摘抄:
- Have you had a chance to visit the 1819 Innovation hub yet? If not, you're probably not familiar with all the exciting opportunities and services the building has to offer. To some, the possibilities at 1819 can be quite overwhelming, but with the 1819 Mobile app, we make these opportunities more approachable. With our location based informational beacons and seamless check-in pre-registration process, you can skip to the front of the line and get right to work on your latest ideas and inventions. Using Apple’s Core Location services, the power of Swift, and the latest in Bluetooth low energy beacon technology, the 1819 Mobile app provides you with up to date contextual information about key locations within the University of Cincinnati’s 1819 Innovation Hub. The 1819 Mobile app ensures that you have access to the tools and information needed to succeed in your visit.
- 作者:
- Demoss, Cameron; Holschuh, Chris, and Burns, Aidan
- 提交者:
- CECH Library Service
- 上传日期:
- 06/15/2020
- 创建:
- 2020-04
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
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- Type:
- Article
- 摘抄:
- In a world where technology continues to vastly grow and improve, IoT devices have increasingly become more and more a part of people’s everyday lives. Although that is the case there is a need to understand how to better use these devices for threat detection. This paper presents early work to understand gaps in this regard using a review of previously used techniques to identify known threats to households. Through the use of smart home device clusters we seek to effectively reduce the amount of false alarms and create a more reliable resource for home residents.
- 作者:
- Tresenwriter, Isaac
- 提交者:
- Jess Kropczynski
- 上传日期:
- 05/15/2020
- 更改日期:
- 05/15/2020
- 创建:
- 2020-04-14
- 证书:
- All rights reserved
-
- Type:
- Article
- 摘抄:
- Small office home office networks have become a target for many threat actors, hackers and cyber attackers and hence there is an urgent need to secure the network from such attackers. Most small office home office network users do not see the need to provide enough security to their networks because they assume no one is going to hack them forgetting that the biggest threat of our small home networks today comes from the outside. The challenge of misconfiguration of routers, firewalls and default configurations in our small home networks renders the network vulnerable to attacks such as DDos , phishing attacks , virus and other network attacks hence the need to implement a detection algorithm to help identify flaws in the pattern of the small office network. It turns out that about 75% of existing approaches focused on intrusion detection in 802.11 wireless networks of a SOHO and not the entire network. These approaches do not efficiently secure the network entirely leaving the rest prone to attacks can occur with or without the internet. This paper proposes to add another layer of security to the other preventive measures in a SOHO network by designing, implementing and testing a supervised neural network algorithm to identify attacks on the small home network and also to send a notification to users to keep them informed of the activities on their network. The supervised neural network algorithm will have a dataset representing both attacks and non-attacks which will be used in the training phase. The system should be able to detect and identify the various attacks and anomalies when they occur on the network and help keep the users informed.
- 作者:
- Azumah, Sylvia Worlali and Li, Chengcheng
- 提交者:
- Jess Kropczynski
- 上传日期:
- 05/15/2020
- 更改日期:
- 05/15/2020
- 创建:
- 2020-04-14
- 证书:
- All rights reserved
-
- Type:
- Article
- 摘抄:
- The current rapid growth in the computer and internet development has ushered in numerous cybersecurity challenges which are constantly evolving with time. The current cybersecurity solutions are no longer optimal in tackling these emerging cyber threats and attacks. This paper proposes the creation of a cybersecurity dataset to be used for a hybrid machine learning (ML) approach of supervised and unsupervised learning for an effective intrusion detection system. The proposed model entails a five-stage process which starts at the setup of a simulated network environment of network attacks to generate a dataset which feeds into the data normalization stage and then to data dimension reduction stage using the principal component analysis as a feature extraction method after which the data of reduced dimension is clustered using the k-Means method to bring about a new data set with fewer features. This new dataset is afterward classified using the enhanced support vector machine (ESVM). The proposed model is expected to provide a high-quality dataset and an efficient intrusion detection system in terms of intrusion detection accuracy of 99.5%, short train time of 3seconds and a low false-positive rate of 0.4%.
- 作者:
- Eichie, Maxwell
- 提交者:
- Jess Kropczynski
- 上传日期:
- 05/15/2020
- 更改日期:
- 05/15/2020
- 创建:
- 2020-04-14
- 证书:
- All rights reserved