5153 research outputs found
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Light-weight Accountable Privacy Preserving (LAPP) Protocol Allowing to Audit the Third-Party Auditor in the Cloud Environment
No full textCloud computing is situating its position in the market as the next disruptive utility paradigm based on the pay as you use model. It is changing the way information technology (IT) operates from individuals and companies’ perspectives. Cloud computing comes with different offerings to accommodate diverse applications. Security concerns are what’s making many companies reluctant from fully embracing the cloud realm. To enhance trust and entice adoption between cloud clients (CC) and cloud service providers (CSP), cloud computing based on a third-party auditor (TPA) has been introduced. Hence introducing a solution with a TPA, comes with its toll in terms of trust and processing overhead. A light-weight security protocol to give the CC an 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: Light-weight Accountable Privacy Preserving (LAPP) Protocol. Our proposed protocol is based on a novel mathematical model along with three algorithms. We have conducted simulation experiments to measure the impact of our method, compared to the most eminent privacy preserving methods, using the GreenCloud simulator. Our results showed superiority in performance for LAPP concerning time complexity, accuracy, and computation time on auditing
How Does an Employee’s Attitude Toward Savings Affect Their Participation in Qualified Retirement Plans?
No full textQualified retirement plans provide employees with the opportunity to invest tax-free dollars into a retirement account and in some cases employers either match or contribute an additional percent to enhance participation. However, if an employee does not see the value in saving or investing, how does this effect their participation in employer sponsored qualified retirement plans? Utilizing a secondary data analysis, data from the Survey of Consumer finance will be analyzed in order to address employee attitudes towards savings and retirement and how this relates to their participation in their employer sponsored plans. How does an employee’s attitude towards planning and investing affect their ability to participate in employer-sponsored retirement plans
Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes
No full textMachine Learning (ML) requires a certain number of features (i.e., attributes) to train the model. One of the main challenges is to determine the right number and the type of such features out of the given dataset’s attributes. It is not uncommon for the ML process to use dataset of available features without computing the predictive value of each. Such an approach makes the process vulnerable to overfit, predictive errors, bias, and poor generalization. Each feature in the dataset has either a unique predictive value, redundant, or irrelevant value. However, the key to better accuracy and fitting for ML is to identify the optimum set (i.e., grouping) of the right feature set with the finest matching of the feature’s value. This paper proposes a novel approach to enhance the Feature Engineering and Selection (eFES) Optimization process in ML. eFES is built using a unique scheme to regulate error bounds and parallelize the addition and removal of a feature during training. eFES also invents local gain (LG) and global gain (GG) functions using 3D visualizing techniques to assist the feature grouping function (FGF). FGF scores and optimizes the participating feature, so the ML process can evolve into deciding which features to accept or reject for improved generalization of the model. To support the proposed model, this paper presents mathematical models, illustrations, algorithms, and experimental results. Miscellaneous datasets are used to validate the model building process in Python, C#, and R languages. Results show the promising state of eFES as compared to the traditional feature selection process.http://dx.doi.org/10.3390/app804064
Analytical Method for Determination of Internal Forces of Mechanisms and Manipulators
No full textThis paper presents a theory for the analytical determination of internal forces in the links of planar linkage mechanisms and manipulators with statically determinate structures, considering the distributed dynamic loads. Linkage mechanisms and manipulators were divided into elements and joints. Discrete models were created for both the elements and the entire mechanism. The dynamic equations of equilibrium for the discrete model of the elements and the hinged and rigid joints, under the action of longitudinal and transverse distributed dynamic trapezoidal loads, were derived. In the dynamic equations of the equilibrium of the discrete model of the elements and joints, the connections between the components of the force vector in the calculated cross-sections and the geometric, physical, and kinematic characteristics of the element were established for its plane-parallel motion. According to the developed technique, programs were created in the Maple system, and animations of the motion of the mechanisms were produced. The links were constructed with the intensity of transverse- and longitudinal-distributed dynamic loads, bending moments, and shearing and normal forces, depending on the kinematic characteristics of the links.http://dx.doi.org/10.3390/robotics703005
Analyzing the Implementation of Six Stroke I.C. Engine with Optimal Design of Camshaft
No full textThe aim of the presented paper is to understand the latest trends in Internal Combustion Engine while maintaining its prime focus on six stroke engines. The engine works through harnessing wasted heat energy created by the fuel combustion. After the combustion stage water is injected into the superheated cylinder. The water explodes into steam and force the piston down. It in turn helps to cool the engine. That resulted in normal levels of power but using much less fuel. It also has the advantage of not requiring an external cooling system
Low-cost Arduino-Based Ultrasonic Radar System
No full textFaculty Research Day 2018: Undergraduate Student Poster People's ChoiceRADAR uses radio waves to detect the range, altitude, direction, or speed of objects. Radars have been used for airport air-traffic control, highway patrol, ballistic missile guidance, military exercise and many other applications. In this poster, we developed a low-cost tiny ultrasonic radar system based on Arduino. It utilizes ultrasonic sensors to detect the object in the range and passes the information to Arduino microcontroller. Once the object is detected, two sets of alarm can be triggered. The graphical display utilizes the position of the detected objects on the computer to send visual alarm on LED screen. Sound alarm can also be sent via an audio buzzer. By adjusting the rotation of the servo motor, we allow the sensing to be in range from 0 degree to 150 degrees. It can detect objects up to 400 cm away from the ultrasonic sensor. The prototype of the system is implemented and coding for Arduino control is developed. Experimental results show that the system can detect objects within the range and alarm can be successfully triggered
The Endurance Test: A Virtual Project Team’s Lived Experience in an Online Project Management Course
No full textThis case study examines longitudinal data from an online MBA program’s project management course to understand and describe the lived experience of a virtual student team that exhibited difficulty delivering a term project. Testing a theoretical model proposed by Lohle and Terrell (2016), the study affirms that unless students actively contact their instructor to escalate feedback and concerns about progress it is difficult to assess student contribution on virtual team projects. The instructor also actively solicited feedback and facilitated closure to compensate for a lack of student accountability. This prompted a research question asking whether requiring an online instructor’s constant oversight and engagement is an optimal strategy for effective project delivery on virtual student teams
Efficient and Secure Key Distribution Protocol for Wireless Sensor Networks
No full textModern wireless sensor networks have adopted the IEEE 802.15.4 standard. This standard defines the first two layers, the physical and medium access control layers; determines the radio wave used for communication; and defines the 128-bit advanced encryption standard (AES-128) for encrypting and validating the transmitted data. However, the standard does not specify how to manage, store, or distribute the encryption keys. Many solutions have been proposed to address this problem, but the majority are impractical in resource-constrained devices such as wireless sensor nodes or cause degradation of other metrics. Therefore, we propose an efficient and secure key distribution protocol that is simple, practical, and feasible to implement on resource-constrained wireless sensor nodes. We conduct simulations and hardware implementations to analyze our work and compare it to existing solutions based on different metrics such as energy consumption, storage overhead, key connectivity, replay attack, man-in-the-middle attack, and resiliency to node capture attack. Our findings show that the proposed protocol is secure and more efficient than other solutions.http://dx.doi.org/10.3390/s1810356
Efficient And Secure Key Distribution Protocol For Wireless Sensor Networks
No full textModern wireless sensor networks have adopted the IEEE 802.15.4 standard. This standard defines the first two layers, the physical and medium access control layers; determines the radio wave used for communication, and defines the 128-bit advanced encryption standard (AES-128) for encrypting and validating transmitted data. However, the standard does not specify how to manage, store, or distribute encryption keys. Many solutions have been proposed to address this problem, but the majority are impractical in resource-constrained devices such as wireless sensor nodes or cause degradation of other metrics. Therefore, we propose an efficient and secure key distribution protocol that is simple, practical, and feasible to implement on resource-constrained wireless sensor nodes. We conduct simulations and hardware implementations to analyze our work and compare it to existing solutions based on different metrics, such as energy consumption, storage overhead, key connectivity, replay attack, man-in-the-middle attack, and resiliency to node capture attack. Our findings show that the proposed protocol is secure and more efficient than other solutions
BRanching Artificial Neural Ensemble (BRANE) Algorithm for Supervised Learning
No full textVarious models exist to predict a numerical value in supervised learning problems. One of the challenges in predicting an outcome with high degree of precision involves dealing with numerical data points which can be represented using differently. To solve for such challenge and in order to predict the logerror value in Zillow’s competition on Kaggle, we have developed a new model, BRanching Artificial Neural Ensemble (BRANE). This ensemble network uses a number of multilayer perceptrons (MLP) to predict the outcome and combines the results using an additional MLP. This approach not only allowed us to use different datatypes as inputs, but also predicted better and converged faster than traditional MLP models