5153 research outputs found
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Relationship between credit and GDP
No full textThis research tries to answer the question: "How strong is the dependency of the GDP of a country to the amount of Credits in the economy?". The main results implied a strong dependency of these two macro variables, and it was also found that to the contrary of predictions, the effects of more loans can be felt the same year, giving more loans in a certain year will increase the GDP in that same year more than it will affect the following time periods.The relationship between the growth of these two two variables is almost perfectly linear. Which might be useful for governments to predict the economy growth if they can know the increase of loans that will be given in the economy. A very interesting side-finding was the dependency of countries to each other and global impact a financial crisis will have on all economies
A new herbal formulation with demonstrated clinical efficacy and safety in promoting weight loss
No full textLI56008F is novel, proprietary herbal blend, developed by screening over 2,000 botanicals. It contains extracts of Moringa oleifera and Murraya koeingii leaves plus extract of Curcuma longa root. Weight loss efficacy of LI85008F was first demonstrated in obese adults and has now been re-evaluated in healthy overweight adults via a 16-week randomized, double-blind, placebo-controlled clinical study. Its effectiveness in weight loss in combination with diet and exercise, suggests this herbal blend could play an important role in helping to manage weight. Given the impact of the obesity epidemic on human health, identifying effective weight loss options is critical
A Supplier Selection Model for End-of-Life Product Recovery: An Industry 4.0 Perspective
No full textIn order to sustain their long-term competitiveness, organizations are under constant pressure to strategically realign their businesses towards globalization and digitalization to adopt to changes in market dynamics. This requires two major structural challenges to be addressed: How can manufacturers and consumers become active participants of environmentally responsible product disposal activities, How fast and efficiently manufacturers can respond to changing market and capital needs while preserving their environmental, economic, and social sustainability levels. Industry 4.0 rises as a viable solution due to its ability to overcome these challenges and effectively respond to the increasing demand for mass customization. This concept is signified as a fully digitized future production and logistics system where all primary objects within a factory such as human, machine, and product as well as all partners within a supply chain such as supplier, manufacturer, logistics provider, and consumer are linked to one another
Lightweight Accountable Privacy-Preserving Protocol Allowing the Cloud Client to Audit the Third-Party Auditor for Malicious Activities
No full textCloud computing is reserving its position in the market as the next disruptive utility paradigm. It is found on the pay-as-you-use model. Cloud computing is changing the way information technology (IT) operates for individuals as well as for companies. Cloud computing comes with different offerings to accommodate diverse applications. It comes with many successful adoption stories and a few unfortunate ones that are related to security breaches. Security concerns are what is making many companies reluctant to fully embrace the cloud realm. To enhance trust and entice adoption between cloud clients (CC) and cloud service providers (CSP), a new paradigm of depending on involving a third-party auditor (TPA) has been introduced. Hence, implementing a solution with a TPA comes with its toll in terms of trust and processing overhead. A lightweight security protocol to give the CC extra control with tools to audit the TPA and the CSP is paramount to the solution. In this paper, we are introducing a novel protocol: the lightweight accountable privacy-preserving (LAPP) protocol. Our proposed protocol is lightweight in terms of processing and communication costs. It is based on a newly introduced mathematical model along with two algorithms. We have conducted simulation experiments to measure the impact of our method. We have compared LAPP to the most eminent privacy-preserving methods in the cloud research field, using the open source cloud computing simulator GreenCloud. Our simulation results showed superiority in performance for LAPP in regard to time complexity, accuracy, and computation time on auditing. The aim of the time complexity and computation time on auditing simulations is to measure the lightweight aspect of our proposed protocol as well as to improve the quality of service.http://dx.doi.org/10.3390/app915303
SLEC: A Novel Serverless RFID Authentication Protocol Based on Elliptic Curve Cryptography
No full textRadio Frequency Identification (RFID) is one of the leading technologies in the Internet of Things (IoT) to create an efficient and reliable system to securely identify objects in many environments such as business, health, and manufacturing areas. Since the RFID server, reader, and tag communicate via insecure channels, mutual authentication between the reader and the tag is necessary for secure communication. The central database server supports the authentication of the reader and the tag by storing and managing the network data. Recent lightweight RFID authentication protocols have been proposed to satisfy the security features of RFID communication. A serverless RFID system is a new promising solution to alternate the central database for mobile RFID models. In this model, the reader and the tag perform the mutual authentication without the support of the central database server. However, many security challenges arise from implementing the lightweight RFID authentication protocols in the serverless RFID network. We propose a new robust serverless RFID authentication protocol based on the Elliptic Curve Cryptography (ECC) to prevent the security attacks on the network and maintain the confidentiality and the privacy of the authentication messages and tag information and location. While most of the current protocols assume a secure channel in the setup phase to transmit the communication data, we consider in our protocol an insecure setup phase between the server, reader, and tag to ensure that the data can be renewed from any checkpoint server along with the route of the mobile RFID network. Thus, we implemented the elliptic curve cryptography in the setup phase (renewal phase) to transmit and store the data and the public key of the server to any reader or tag so that the latter can perform the mutual authentication successfully. The proposed model is compared under the classification of the serverless model in term of computation cost and security resistance
Blockchain Technology & Intellectual Property Protection
No full textIn Year 2008, Satoshi Nakamoto titled Bitcoin: A Peer-to-Peer Electronic Cash System , which made the whole world stunning and enabled people starting to concentrate on Bitcoin and the technology behind it. Even though Bitcoin is an extrodinary world famous intelegence contribution on 21st Century, it's still a tip of the iceburg to the technology behind it - Blockchain Technology. In this poster, we give more space on explaining the working principle of Blockchain Technology and also take a quick glance at the application of Blockchain Technology in Intellectual Property Protection field
Examining acculturation, gender, and BMI across different racial and ethnic groups
No full textThe current study explored the relationship between acculturation and BMI levels across different racial/ethnic groups and how external factors such as education, income, and gender may impact BMI levels. The study also examined the current WHO standard cutoffs for overweight & obesity for Asian American groups
How Nike’s "Dream Crazy" Campaign used Social Issues to Profit
No full textJuan Camilo Muñoz's poster examining Nike’s "Dream Crazy" advertising campaign
Automated Vision-Based High Intraocular Pressure Detection Using Frontal Eye Images
No full textGlaucoma, the silent thief of vision, is mostly caused by the gradual increase of pressure in the eye which is known as intraocular pressure (IOP). An effective way to prevent the rise in eye pressure is by early detection. Prior computer vision-based work regarding IOP relies on fundus images of the optic nerves. This paper provides a novel vision-based framework to help in the initial IOP screening using only frontal eye images. The framework first introduces the utilization of a fully convolutional neural (FCN) network on frontal eye images for sclera and iris segmentation. Using these extracted areas, six features that include mean redness level of the sclera, red area percentage, Pupil/Iris diameter ratio, and three sclera contour features (distance, area, and angle) are computed. A database of images from the Princess Basma Hospital is used in this work, containing 400 facial images; 200 cases with normal IOP; and 200 cases with high IOP. Once the features are extracted, two classifiers (support vector machine and decision tree) are applied to obtain the status of the patients in terms of IOP (normal or high). The overall accuracy of the proposed framework is over 97.75% using the decision tree. The novelties and contributions of this work include introducing a fully convolutional network architecture for eye sclera segmentation, in addition to scientifically correlating the frontal eye view (image) with IOP by introducing new sclera contour features that have not been previously introduced in the literature from frontal eye images for IOP status determination.https://doi.org/10.1109/JTEHM.2019.291553
The Conventional Past, Behavioral Present, and Algorithmic Future of Risk and Finance
No full textPhilip Maymin's poster discussing the conventional past, behavioral present, and algorithmic future of risk and finance