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Retrieving hidden friends: A collusion privacy attack against online friend search engine
No full textOnline social networks (OSNs) are providing a variety of applications for human users to interact with families, friends, and even strangers. One such application, the friend search engine, allows the general public to query individual users\u27 friend lists and has been gaining popularity recently. However, without proper design, this application may mistakenly disclose users\u27 private relationship information. Our previous work has proposed a privacy preservation solution that can effectively boost OSNs\u27 sociability while protecting users\u27 friendship privacy against attacks launched by individual malicious requestors. In this paper, we propose an advanced collusion attack, where a victim user\u27s friendship privacy can be compromised through a series of carefully designed queries coordinately launched by multiple malicious requestors. The effect of the proposed collusion attack is validated through synthetic and real-world social network data sets. The in-depth research on the advanced collusion attacks will help us design a more robust and secure friend search engine on OSNs in the near future
Voice Controlled Smart Mirror with Multifactor Authentication
No full textInternet of Things, Smart Home, and Smart Cities have become hot topics in recent years. The development of these areas grows spirally due to the emergence of advanced smart devices. Smart mirrors are a new addition to the smart home family that has been getting a lot of attention nowadays by both commercial manufacturers and academia. This paper describes how a Raspberry Pi device can be used to enhance such mirrors with intelligence and security. The goal is to develop a cost effective intelligent mirror system that not only works as a regular mirror, but also be able to display various kinds of information, such as weather, time and location, current events, and users. The mirror can provide multimedia services while ensuring high end security across the entire system
Evaluation of chemical composition of Byrsocarpus dinklagei: An uncommon indigenous spice consumed in south-eastern Nigeria
No full textBackground: Spices especially in form of herbs and leaves, are commonly used in food preparation in eastern Nigeria. However, they are not usually accounted for in the nutritional content of foods. Byrsocarpus dinklagei is one of the uncommon aromatic spices added to cooked food for enhanced organolpetic properties and health purposes. Objective: This study evaluated the proximate, vitamins and phytochemical compositions of B. dinklagei (efu) spice. Methods: Seeds of B. dinklagei were dried in a cabinet dryer at 70oC to a constant weight and pulverized to powder. The ground powder was evaluated for proximate, vitamins and phytochemical compositions using standard methods. Data obtained was analyzed for mean and standard deviation. Results: The results showed that the spice contained 4.14% protein, 20.54% moisture, 2.19% fat, 1.83% ash, 1.94% crude fiber and 74.71% carbohydrate. Byrsocarpus dinklagei seeds powder contained 19.60 mg/100g of vitamin B2, 9.09 mg/100g vitamin C and 1.60 mg/100g of beta carotene. The mineral contents per 100g were 3.3mg Mg, 14.10 mg K, 0.9mg Na, 1.0 mg Ca, 212.0mg Mn, 598.0 mg Fe, 72 mg Cu and 144.0 mg Zn. The identified phytochemical content of B. dinklagei were 8.50 mg/100g of tannin, 115.10 mg/100g of alkaloid, 57.60 mg/100g of flavonoid, 21.00 mg/100g of saponin, 41.1 mg/100g of phytate and 25.00 mg/100g. Terpene profilr showed the presence of alpha-pinene, beta-myrcene, delta 3-carene, limonene, and rho-cymene as the main terpenes detected in the spice with a total terpene content of 50.70 mg/100g. Conclusion: The spice powder is a rich source of micronutrients and phytochemicals of biological significance
Using an Adaptive Intelligent Tutoring System to Promote Learning Affordances for Adults with Low Literacy Skills
No full textOne out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of discourse processing. AutoTutor was designed with a simple, easy to use interface that caters to the special technological needs of adult learners. Though the interface may be simple, the functionality is not. AutoTutor leverages empirically based learning principles from cognitive psychology to scaffold the acquisition of reading comprehension skills. In particular, it embeds six major learning affordances, or learning opportunities, that help students master difficult material. We provide an overview of AutoTutor, describe its’ learning affordances and discuss its potential as a reading comprehension tool. We conclude by considering some of the challenges when building adaptive technologies to support low literacy adults
The Importance of Properly Modeling the Hydrogen Bond in Histidine
Get PDFThe hydrogen bond plays a vital role in many reactions. This study is to investigate the effect of different hydrogen bonding modes, such as single and double hydrogen bonds, via the quantum mechanic (QM) methods. Four histidine models (A, B, C, and D) with different numbers of intra-molecular hydrogen bonds were studied. The QM model results indicate that the double hydrogen bond is plausible and has a more stable geometry. However, this study suggests that the data from QM methods require further evaluation with solvation models to produce an even better energy profile
Relationship Between Gait Mechanics and the Speed of the Trot in the Weimaraner Dog Breed
No full textWhile the size of the Weimaraner may assist in the breed performing the tasks of a sporting dog, the large size coupled with these tasks may also make the breed more susceptible to orthopedic issues. The understanding of the normal gait mechanics of the Weimaraner can be a useful tool in examining for gait abnormalities associated with these orthopedic issues, and yet, research concerning breed-specific gaits in the canine is limited. Therefore, study objectives were to define the normal Weimaraner trotting kinematics and determine the influence of speed on these parameters. Markers were attached to palpation points on the limbs and head of American Kennel Club registered Weimaraners. Dogs were tracked while performing a slow (1.2-1.7 m/s) and fast (1.9-2.3 m/s) trotting speed. Frame-by-frame analysis was performed. Paw ground contact and lift-off was documented and marker displacement was tracked. At both speeds, the trot had a diagonal footfall sequence with diagonal limb pairing alternating between diagonal bipedal support and suspension. The faster speed was achieved with significant increases in stride length and displacements of the head, withers, and fore and hind paws (P \u3c.05). Range of motion of the elbow and hip significantly increased as the dog transitioned from a slow to fast speed (P \u3c.05). Through gait analysis, the Weimaraner trot was defined as a 2-beat diagonal rhythm gait with suspension. Speed did not change these characteristics, but did influence stride length and linear and angular displacements, and thus, should be a consideration in clinical examination
On a solution method for the bound energy states of a particle in a one-dimensional symmetric finite square well potential
No full textWe present details of a new solution method for the bound energy states of a quantum particle in a one-dimensional symmetric finite square well potential. The solution is obtained in a clear way by introducing a simple method that relies on the use of two auxiliary functions. The approach is straightforward and leads to the well-known even and odd parity wave function solutions of the problem without having to do any a priori assumptions about the nature or symmetry of the quantum states
Patent data analysis using functional count data model
No full textTechnology is an important cause of social change. So many researchers have studied on diverse methods for technology analysis. Patent analysis has been proposed in many studies for technical analysis. They extracted technological keywords and codes from patent documents and analyzed them using statistics and machine learning. One of the problems in the existing studies was the patent analysis that did not consider the time factor. However, time is a factor to be considered in technology analysis. Because technology has evolved over time, in this paper, we study and propose a new technology analysis method considering time factor. We analyze patent data to understand technological structure of company, because patent contains most of information about developed technology. A lot of studies on technology analysis using patent data have been published in various areas. Many of them used extracted technological keywords from patent documents for patent analysis. They did not consider time factor to build technology analysis models, but we know technology changes over time. So we propose a technology analysis method using functional data analysis as a patent analysis considering time factor. We select Apple technology for our case study. With the patent data of Apple over time, we investigate on the technological structure of Apple and its technological evolution through high-dimensional visualization using harmonic components generated by functional data analysis. In addition, by employing the count data regression models of Poisson, negative binomial and hurdle Poisson, we examine the relationships among highest frequency keywords based on the visual outputs in functional data analysis. The practical implication of this paper is that it can be applied more effectively than the existing studies of technology analysis by considering time factor. This research contributes to technology forecasting for understanding the social changing. We can develop a more efficient research and development plan to improve the technological competition. The originality of this research is to consider time factor in technology analysis based on patent data. In this paper, we used the functional data analysis to model trends of technology keywords over time. Using the results of the technology analysis of this study considering the time, the company will be able to understand the social change and thereby improve its technological competitiveness in the market
The effect of CIO virtues on CIO role effectiveness
No full textThis paper aims to contribute to the concept of ethical CIO leadership through a distinctive focus on virtue ethics. Our research investigates the theoretical significance of CIO virtues on two CIO capabilities and their corresponding influence on the CIO\u27s role effectiveness in organizations
