Miracle-dz/UniFAR-FTUs huggingface dataset:
A Time-series Classification Approach to Shallow Web Traffic De-anonymization

Web traffic analysis and classification has been extensively studied, both with classical and deep learning techniques. Many of these systems analyse the entire packet to perform the classification task. Due to the increase of encrypted traffic in recent years, this approach has become problematic. Moreover, few works focus on the classification of the users themselves, also called web traffic de-anonymization . In the present paper we address this problem by proposing an approach focused on a shallow, temporal analysis of web traffic data packets. We show that it is possible to identify the users of a network just by analyzing their navigation patterns and without accessing the content of the TCP packets. Finally, we propose a comparison between the performance of our approach and a more classical feed forward neural network architecture to showcase the informational power of temporal data in this context.
A Comparison of Three Data Analysis Approaches When Outliers are Suspected

A Comparison of Three Data Analysis Approaches When Outliers are Suspected Stephen F. Olejnik University of Florida ". Obtaining a descriptive summary (i.e., group means, variances, minimum and maximum values, etc.) of a data set before statistical tests of hypotheses are conducted is standard operating procedure for most data analysts. The purpose of this preliminary analysis is to identify possible errors in the data set and determine whether basic assumptions of hypothesis tests have been met. Data points are often found which are clearly in error, e.g., a score on a test may exceed the total number of items on the test. These errors are relatively common and are generally the result of scoring, coding or keypunching errors. If they are identified, they can be corrected or deleted if the original data source is no longer available. There are many other situations, however, when one or two data points don't seem to "fit" in with the remaining data set, but no apparent error can be found. These questionable data points are often called outliers . •. ~
Healthcare professionals in COVID-19: Safety, fear, and intention to leave

The objective was to verify the fear of COVID-19 mediating role between the perception of safety at work and the intention of professionals on the frontline of COVID-19 to distance themselves from work. For this intent, 227 professionals (Mage = 33.01; SD = 7.67), mostly female (67.8%), answered the Safety Climate Scale in Hospital Work, the Intentional Behavior to Take a Leave of Absence Scale adapted to the COVID-19 context, the Fear of COVID-19 Scale, and a sociodemographic questionnaire. The safety perception in places of fight against the COVID-19 minimizes the fear of infection, consequently reducing health professionals’ intention to take leaves of absence when in hospitals in the pandemic. Thus, ensuring the professionals’ safety in their workplace is a protective factor of fear, so it may collaborate for the development of relevant strategies that minimize the intention to take a leave of absence.
Physicochemical characterization and modeling of water sorption isotherms for sugarcane samples (Saccharum officinarum L.)

Sugarcane juice is a refreshing, energetic and highly nutritious beverage. Due to its composition, fresh sugarcane juice is prone to microbial deterioration. Therefore, the application of methods that extend its shelf life can be useful to obtain a product with desirable properties. The aim of this study was to perform physicochemical characterization of freeze-dried sugarcane samples and evaluate the capability of six different mathematical models to describe their water sorption isotherms at three temperatures. Higher mineral content and phenolic compounds were found in the freeze-dried sugarcane sample compared to in natura sugarcane sample. Several statistical indices were adopted to assess the mathematical models performances used for the isotherm studies. The Henderson model provided the best goodness-of-fit for the observed type-III experimental isotherms. The net sorption isosteric heat was negative, indicating the occurrence of exothermic reactions during the water absorption in sugarcane samples. An empirical equation for calculating the energy required for drying sugarcane samples by freeze-drying between two given moisture contents was obtained. The results described in this work could be used for designing and optimizing drying processes of sugarcane samples in real-world applications.
Ultrasonic in food microbiology: Application and future trends

Ultrasonic is one of the promising technological innovation to modify structure, inactivate enzymes and/or neutralize microorganisms in food products for enhancement of their quality and safety. Apart from pasteurization, sanitation, disinfection and cleaning procedures, in the area of food microbiology, ultrasound can facilitate recovery of microorganisms and their identification through cell lysis or detachment of microbe from food surface. Hence, study of effect of sound waves on microbial cells in suspended condition and food matrices has opened a new horizon of its application in the area of food microbiology. Use of ultrasound in microbial analysis is already in practice and expanding, but the physics of interaction of acoustic waves with microbial cells in presence of actual food matrices need further attention. Ultrasonic reactor (UR) design needs interdisciplinary approach to further exploit the promise of ultra sound in food microbiology. Substantial demand in recent years for bench-top ultrasound reactors for cleaning of food contact surfaces in common households has increased. This review deals with the state of art of the ultrasound technology, process development, and further scope of the technology specific for its applications in cleaning and sanitization, microbial inactivation and in microbiological analysis in food processing industries.
Dynamic displacement measurement of a vibratory object using a terrestrial laser scanner

Dynamic displacement measurement is often preferred over conventional acceleration measurement in the field of structural engineering. In this paper, a new methodology for dynamic displacement measurement using a terrestrial laser scanner (TLS) is presented. The methodology operates the TLS so as to measure multiple target points in a scan and to determine dynamic displacement from the distance data of the points. To lessen the TLS’s inherent high noise contamination, optimal weighted averaging, i.e. the kriging method, is adopted, utilizing multiple neighbor points provided by TLS’s spatial-temporal measurement. After conducting two experiments of vibration testing, it has been verified that the noise reduction efficiency of the proposed methodology does not change significantly with respect to the vibration characteristic of structures.
Participation of Uniformed Women in Peacekeeping Missions in Liberia and East Timor

This study sought to assess uniformed women’s participation in United Nations peacekeeping missions with specific reference to Liberia and East Timor. The study was qualitative in nature and a case study research design was used. To achieve its objectives, the study drew nine (9) research participants from uniformed personnel particularly from the Zimbabwe Defence Forces, Zimbabwe Republic Police and Zimbabwe Prisons and Correctional Service who have previously served in United Nations peacekeeping missions in Liberia and East Timor. In addition, two other key informants were drawn from local offices of United Nations Women and Southern African Development Committee Regional Peacekeeping Training Centre. The study found out that despite being a key ingredient for successful operational impact in any peacekeeping mission, the participation of uniformed women in peacekeeping missions was low due to a variety of factors. The study also noted that uniformed women peacekeepers were grappling with a plethora of challenges ranging from language and cultural barriers, low number of female peacekeepers, gender stereotypes to non-family status of most UN peacekeeping
Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data

Most of the state-of-the-art action recognition methods focus on offline learning, where the samples of all types of actions need to be provided at once. Here, we address continual learning of action recognition, where various types of new actions are continuously learned over time. This task is quite challenging, owing to the catastrophic forgetting problem stemming from the discrepancies between the previously learned actions and current new actions to be learned. Therefore, we propose Else-Net, a novel Elastic Semantic Network with multiple learning blocks to learn diversified human actions over time. Specifically, our Else-Net is able to automatically search and update the most relevant learning blocks w.r. t. the current new action, or explore new blocks to store new knowledge, preserving the unmatched ones to retain the knowledge of previously learned actions and alleviates forgetting when learning new actions. Moreover, even though different human actions may vary to a large extent as a whole, their local body parts can still share many homogeneous features. Inspired by this, our proposed Else-Net mines the shared knowledge of the decomposed human body parts from different actions, which benefits continual learning of actions. Experiments show that the proposed approach enables effective continual action recognition and achieves promising performance on two large-scale action recognition datasets.
Modeling of Laminar Viscous Flow in a Semi-Porous Channel Under Uniform Magnetic Field

Laminar flow in porous channels or tubes has received a great attention in recent years due to its various applications. These applications include blood filtration in artificial kidney, blood flow in capillaries and oxygenations, transpiration, cooling of turbine blades, lubrication of ceramic machine parts, food processing, electronics cooling, gaseous diffusion, the extraction of geothermal energy, and nuclear reactor cooling systems. The present work, proposes the Galerkin method to solve the two dimensional electrically conducting flow in a semiporous channel under uniform magnetic field as governed by dimensionless: Hartman number (Ha), and Reynolds number (Re). The numerical results predict the flow field characteristics over wide ranges of Ha, and Re. These results are compared with other available analytical and numerical results at different values of Ha, and Re. Detailed results are presented and discussed.Copyright © 2011 by ASME
Rough Set Theory Applied to JU-algebras

This paper is based on the concept of roughness in JU-algebras and related terminologies. In this paper, we study lower and upper approximations of JU-subalgebras and JU-ideals. Moreover, we study rough sets and JU-algebras with their weak and strong ideals and prove that the lower/upper approximation of JU-subalgebra (resp., JU-ideals) is a JU-subalgebra (resp., JU-ideals). Furthermore, we show some related results.
Understanding the Decision to Enroll in Massive Open Online Courses

The prevalence of high-paying, stable jobs for low skilled workers has declined over the past few decades. As a result, individuals lacking marketable job skills may be less likely to succeed in the workplace. Given this circumstance, massive open online courses (MOOCs) could offer a viable means of developing in-demand job skills. However, MOOCs do not appear to attract the individuals who stand to benefit the most from enrolling in them. Therefore, the purpose of the current research is to understand the factors leading individuals to enroll in a MOOC. To date, research has focused primarily on participant demographics, with little attention given to the psychological process behind enrolling in a MOOC. Thus, we conducted an empirical study to determine the psychological process underlying an individual’s decision to sign up for a MOOC. The results indicate that participants were more likely to sign up for a MOOC if they had the intention to do so. We found that the intention to sign up for a MOOC was impacted by competing demands, perceived skills gap, value perceptions, and expectancy perceptions. That is, participants were more likely to intend to sign up if they perceived a gap in their job skills, perceived value in taking a MOOC, and had high expectancy in their ability to successfully complete a MOOC. Additionally, there was a negative relationship between competing demands and expectancy. Overall, this research has both practical and theoretical implications, including informing interventions to encourage under-skilled workers to pursue career advancement via MOOCs.
Determinants of Underpricing of Initial Public Offerings-An Evidence from India

The Bombay Stock Exchange (BSE) is actually first stock exchange of India. It is also the first stock exchange of Asia as well as the it is the Fastest Stock Exchange on the planet. Earlier researches on Initial Public Offerings (IPOs) in Indian context happen to give major importance to the Bombay Stock Exchange (BSE) only rather than National Stock Exchange (NSE) or any other local exchange. The study seeks to find if Indian IPOs tend to be underpriced in short run. The study also tries to describe underpricing on day one with regard to the demand created throughout the book building process of IPO, the delay in listing which is the time period around the closing of the book building process and day the shares get listed on the exchange, the price at which the shares were issued and the size of the issue. Additionally, it tries to comprehend any kind of growing pattern in issue market of India with regards to the prior studies. Initial public offerings getting underpriced can prove to be a severe concern for virtually every economy. On one side, excessive underpricing trend within the IPO market makes companies, that are not in a position to or simply do not desire underpricing to lose confidence in IPOs. Alternatively, it generates arbitrage opportunities in the exchanges as well as within the grey market of IPO. Issues getting underpriced, as a result hinders the expansion prospects as well as generates lack of stability within the secondary markets. The current research on 107 IPOs which used book building mechanism, for the period of January 2012 to December 2017, discovered that the typical underpricing in those times was 9.44 % whilst the utmost underpricing had been close to 139.40%. Hence IPO underpricing continues to be a problem. The outcomes of the study claim that the demand produced for an IPO in the course of book building as well as the Issue Size had a positive influence on the underpricing on day one, whilst the Issue Price and Listing delay of the IPO had an insignificant impact.
Flow Interference Between Circular Cylinders Subjected to Waves and Currents - A Review

The determination of interference effects due to the presence of a group of circular cylinders in a wave environment is important in the evaluation of forces on offshore structures. The present paper discusses the major research efforts made in recent years, in this area. Although emphasis has been made on the experimental investigations of the problem, mathematical models attempting to estimate the interference effects are also cited. Preliminary results obtained by the authors in an on-going research program are discussed.
A deep map from performance to resources - intelligent resource allocation for network slicing

Network slicing allows flexible and automatic provisioning of resources to satisfy contractually defined Key Performance Indicator (KPI) targets. When admitting new slices and during the slice run-time, the mapping between a KPI target and the resources required to fulfill it should be as accurate as possible. However, in mobile wireless networks, the number of resources to achieve a given network performance varies with the users' connection quality over time. An incorrect mapping may result in additional costs due to excessive over-provisioning or fines paid due to a contract breach. This work introduces a framework that predicts a cost efficient KPI target to resource mapping for a future time window. It does so by learning with network condition history and the slice's contractual agreement. Different operators can use the framework in both slice admission and run-time. Simulations show that the framework successively decreases costs related to an inefficient KPI target to resource mapping.
Compact filtering power divider with good frequency selectivity and wide stopband based on composite right‐/left‐handed transmission lines

A novel compact power divider with good frequency response and wide stopband based on composite right‐/left‐handed (CRLH) transmission line is presented in this article. To provide bandpass‐filtering frequency response, the bandpass filtering circuits is applied to this power divider using the CRLH resonators. The bandpass filtering circuit can generate two transmission zeros at the lower and upper stopband and have a wide upper stopband. Besides, the phase shift of the CRLH filter is tuned to be 90° for the sake of replacing the conventional quarter‐wave length branch line in the power divider. Moreover, the capacitive coupling between the input and output of the resonator is used simultaneously to generate three additional transmission zeros beside the passband edges. Then, the frequency selectivity of the power divider is greatly improved. A resistor is placed at the center of the symmetric plane to produce good isolation between the two outputs. A filter‐integrated power divider operating at 3.7 GHz is implemented. Good agreement between the simulated and measured results is observed. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2122–2125, 2014
ANALYSIS OF SINGLE AND MULTI OBJECTIVE INVENTORY MODEL WITH EXPONENTIAL DEMAND BY FUZZY NON LINEAR PROGRAMMING AND GENERAL FUZZY PROGRAMMING TECHNIQUES

A single objective stochastic inventory model is formulated and introducing the impreciseness to the budget, it is considered as a fuzzy single objective stochastic inventory model. Then we reformulate the model as a multi objective inventory problem and it is solved by General Fuzzy Non Linear Programming technique. The solutions are illustrated by numerical examples when the demand follows exponential distribution and the results are compared, also.
Limiting equilibrium method for slope/drilled shaft system

The use of drilled shafts to stabilize an unstable slope has been a widely accepted practice. There are two basic design and analysis issues involved: one is to determine the global factor of safety of the drilled shafts stabilized slope and the other one is to determine the design earth thrust on the drilled shafts for structural design of the shafts. In this paper, a limiting equilibrium method of slices based solution for calculating global factor of safety (FS) of a slope with the presence of a row of drilled shafts is developed. The arching mechanisms due to the presence of the drilled shafts on slope were taken into account by a load transfer factor. The method for calculating the net force applied to the drilled shaft from the soil mass was also developed. The interrelationships among the drilled shaft location on the slope, the load transfer factor, and the global FS of the slope/shaft system were derived utilizing the developed numerical closed‐form solution. An illustrative example is presented to elucidate the use of the solution in optimizing the location of the drilled shafts on slope to achieve the desired global factor of safety of the slope/shaft system. Copyright © 2009 John Wiley & Sons, Ltd.
Study Of Sentiment Analysis On Product Features

—Sentiment Analysis has grabbed attention of many researchers around the world in the last few years, since subjective texts are used for various applications. Specifically, sentiment analysis of Online Reviews is becoming increasingly popular area. This is said so because understanding the point of view of customers efficiently is valuable for both companies as well as other buyers. This paper focuses on methods used for extraction of characteristics, classification according to the polarity
The Research on the Fuel Performance of Fsae EFI Engine

For the modeled engine, the soft AVL-BOOST is applied to do the single-dimensional cycling simulation and calculation. And then the engine performance after assembling the improving limiter（its diameter is 20mm） is analyzed. According to the calculation and analysis, the torque and pneumatic efficiency are largely affected by limiter, the maximum torque and pneumatic efficiency decreases 20 percents and 30 percents respectively. The limiter not only improves the engine’s fuel performance, but also reduces its power performance.
Single Photon Emission from Neutrino-Nucleon Coherent Scattering in Liquid Argon

Weak photon emission from neutral current interactions is a non-negligible background for the MicroBooNE experiment. One interaction of this type is single photon emission from neutrinonucleon coherent scattering. In this report I outline the analysis done on coherent scattering events generated by a Monte Carlo simulation of the MicroBooNE detector. I investigate various properties of coherent photon showers such as the energy of the photon and the angle the photon makes with the neutrino beam axis. In this report I find a discriminator between coherent and incoherent events in the angle of the shower. For a simulation of 1,000 coherent events in Geant4 and DetSim, 55% of single showers have cos(θ) > 0.85. I present in this report an algorithm to calculate the opening angle of a shower in φ as well as in θ. I also introduce the relevance this has to Dr. Avinay Bhat’s MeV blip-finding algorithm in identifying coherent and incoherent showers.
HACCLE: metaprogramming for secure multi-party computation

Cryptographic techniques have the potential to enable distrusting parties to collaborate in fundamentally new ways, but their practical implementation poses numerous challenges. An important class of such cryptographic techniques is known as Secure Multi-Party Computation (MPC). Developing Secure MPC applications in realistic scenarios requires extensive knowledge spanning multiple areas of cryptography and systems. And while the steps to arrive at a solution for a particular application are often straightforward, it remains difficult to make the implementation efficient, and tedious to apply those same steps to a slightly different application from scratch. Hence, it is an important problem to design platforms for implementing Secure MPC applications with minimum effort and using techniques accessible to non-experts in cryptography. In this paper, we present the HACCLE (High Assurance Compositional Cryptography: Languages and Environments) toolchain, specifically targeted to MPC applications. HACCLE contains an embedded domain-specific language Harpoon, for software developers without cryptographic expertise to write MPC-based programs, and uses Lightweight Modular Staging (LMS) for code generation. Harpoon programs are compiled into acyclic circuits represented in HACCLE’s Intermediate Representation (HIR) that serves as an abstraction over different cryptographic protocols such as secret sharing, homomorphic encryption, or garbled circuits. Implementations of different cryptographic protocols serve as different backends of our toolchain. The extensible design of HIR allows cryptographic experts to plug in new primitives and protocols to realize computation. And the use of standard metaprogramming techniques lowers the development effort significantly. We have implemented Harpoon and HACCLE, and used them to program interesting applications (e.g., secure auction) and key computation components of Secure MPC applications (e.g., matrix-vector multiplication and merge sort). We show that the performance is improved by using our optimization strategies and heuristics.