Miracle-dz/UniFAR-FTUs huggingface dataset:
Steganography for Invisible Communication: A Review

Steganography is the science and art of embedding secret messages in innocuous looking carriers in such a way that it does not draw the attention of anyone other than the sender and the targeted recipient, thus a method for secret and invisible communication which provides security through obscurity. Its main purpose is to hide the occurrence of communication over a public channel. Steganography has been used since ancient times and has grown exponentially in the recent past because of the improvements in computing power. Earlier, steganography was implemented using some physical medium i.e. some tangible objects but now a days, it is implemented electronically by using several other intangible objects i.e. data can be hidden using any type of media, be it image in bmp, jpeg, gif format or some music file, video clip, text file, SMS etc. In this paper, different types of techniques used to hide data have been discussed with major focus on image based modern steg-anographic techniques.
A four‐dimensional agent‐based model: A case study of forest‐fire smoke propagation

Dynamic geospatial complex systems are inherently four‐dimensional (4D) processes and there is a need for spatio‐temporal models that are capable of realistic representation for improved understanding and analysis. Such systems include changes of geological structures, dune formation, landslides, pollutant propagation, forest fires, and urban densification. However, these phenomena are frequently analyzed and represented with modeling approaches that consider only two spatial dimensions and time. Consequently, the main objectives of this study are to design and develop a modeling framework for 4D agent‐based modeling, and to implement the approach to the 4D case study for forest‐fire smoke propagation. The study area is central and southern British Columbia and the western parts of Alberta, Canada for forest fires that occurred in the summer season of 2017. The simulation results produced realistic spatial patterns of the smoke propagation dynamics.
High Q inductors for wireless applications in a complementary silicon bipolar process

Rectangular spiral inductors with Q's as high as 12 have been built in a high-speed complementary bipolar process and characterized for use in wireless applications. An accurate broadband model has been developed for the inductors, and a test filter and mixer have been built to verify the performance of the inductors and the accuracy of the model.
Is employability detrimental to unions ? An empirical assessment of the relation between self-perceived employability and voice behaviours

Le concept d’employabilite fait debat. Non seulement, il pose le probleme du partage des responsabilites entre employeurs et salaries au sujet des trajectoires professionnelles, mais surtout, un courant de recherche emergent tend a examiner les effets du developpement de l’employabilite percue sur le comportement des salaries a l’egard des organisations syndicales. Dans la continuite du modele Exit-Voice-Loyalty developpe par Hirschman, cet article contribue a ce courant qui reste encore peu explore empiriquement. La litterature existante hesite encore sur le sens a donner a la relation entre employabilite et prise de parole, notamment par l’intermediaire des organisations syndicales : l’employabilite peut certes diminuer les couts associes a une decision de demission et ainsi diminuer la necessite de prendre la parole ; mais, inversement, en facilitant un hypothetique reclassement, l’employabilite peut etre concue comme une ressource que le salarie peut mobiliser dans un rapport de force, en ce sens qu’elle diminue le cout ou la probabilite de represailles associees a l’expression d’une insatisfaction, et ceci tout particulierement lorsque le climat des relations professionnelles est positif. Pour aller plus loin, nous introduisons une distinction, d’une part, entre employabilite interne et externe et, d’autre part, entre prise de parole “directe” et “representative”, c’est-a-dire par l’intermediaire des representants du personnel. Nous testons nos hypotheses grâce aux reponses a un questionnaire adresse a l’ensemble des salaries d’une grande banque de reseau francaise. Nos resultats montrent que l’employabilite interne favorise la prise de parole directement aupres du management, alors que l’employabilite externe semble n’avoir aucun effet sur aucune forme de prise de parole, sauf lorsque que le climat des relations professionnelles est cooperatif. Cela confirme la necessite de differencier la dimension interne de la dimension externe de l’employabilite. Enfin, nos resultats ne permettent pas de conclure que le developpement de l’employabilite se fait au detriment des organisations syndicales : ce n’est pas necessairement par l’instauration d’un pouvoir collectif de negociation et d’opposition que les syndicats peuvent contribuer a l’amelioration de la position des salaries, mais plutot en creant les conditions d’une relation cooperative avec la ligne manageriale.
A new web interface to facilitate access to corpora: development of the ASLLRP data access interface

A significant obstacle to broad utilization of corpora is the difficulty in gaining access to the specific subsets of data and annotations that may be relevant for particular types of research. With that in mind, we have developed a web-based Data Access Interface (DAI), to provide access to the expanding datasets of the American Sign Language Linguistic Research Project (ASLLRP). The DAI facilitates browsing the corpora, viewing videos and annotations, searching for phenomena of interest, and downloading selected materials from the website. The web interface, compared to providing videos and annotation files off-line, also greatly increases access by people that have no prior experience in working with linguistic annotation tools, and it opens the door to integrating the data with third-party applications on the desktop and in the mobile space. In this paper we give an overview of the available videos, annotations, and search functionality of the DAI, as well as plans for future enhancements. We also summarize best practices and key lessons learned that are crucial to the success of similar projects.
Modeling Exposure to Electromagnetic Fields with Realistic Anatomical Models: The Brooks Finite Difference Time Domain (FDTD)

Abstract : Air Force Research Laboratory/Human Effectiveness Directorate Radio Frequency Radiation Branch (AFRL/RHDR) and Naval Health Research Center (NHRC) have long used Finite Difference Time Domain (FDTD) software to study radiofrequency radiation (RF) bioeffects. FDTD is a direct time-domain solver for Maxwell's equations. The original Brooks FDTD code was developed as part of the Brooks Dosimetry Project and has been repeatedly enhanced to meet empirical and theoretical research needs. Many feature upgrades have been added to the original Fortran FDTD code, and recently the code has been completely rewritten in C. Both versions of Brooks FDTD are parallelized for Beowulf clusters and have run on more than one hundred processors. In addition to code, a number of segmented anatomical models have been created for the Brooks Dosimetry Project. These models include a human, rhesus monkey, goat, and several rat models (See Appendix E). The Brooks FDTD codes, used with these anatomical models, allow researchers to perform useful RF bioeffects modeling to aid ongoing RHDR and NHRC research efforts. To ensure fidelity of FDTD results, Brooks FDTD has been validated using several methods which are reported here.
Biologically motivated controllers for robotic eyes

We present the development of computational models of biological motor control used in two different types of eye movements — gaze shifting and gaze stabilization. They are then implemented and tested on robotic systems. The thesis also investigates the application of these biological motor control strategies in robotics applications. We describe and test a non-linear control algorithm inspired by the behaviour of motor neurons in humans during extremely fast saccadic eye movements involved in gaze shifting. The algorithm is implemented on a robotic eye connected with a stiff camera cable, similar to the optic nerve. This adds a complicated nonlinear stiffness to the plant. For high speed movement, our “pulse-step” controller operates in open-loop using an internal model of the eye plant learned from past measurements. We show that the controller approaches the performance seen in the human eye, producing fast movements with little overshoot. Interestingly, the controller reproduces the main sequence relationship observed in animal eye movements. We also model the control of eye movements that serve to stabilize its gaze direction. To test and evaluate this stabilization algorithm, we use a camera mounted on a robotic test platform that can have unknown perturbations in the horizontal plane. We show that using models of the vestibulo-ocular and optokinetic reflexes to control the camera allows the camera to be effectively stabilized using an inertial sensor and a single additional motor, without the need for a joint position sensor. The algorithm uses an adaptive controller based on a model of the vertebrate Cerebellum for velocity stabilization, with additional drift correction. A resolution-adaptive retinal slip algorithm that is robust to motion blur was also de-
Time-Series analysis for wind speed forecasting

In this paper, an enormous amount of study has been made on various weather forecasting models and many specialists developed different models for optimal results. Different models which is taken for implementation and were used for predicting the forecasted data. A technique used for forecasting the given data is defined as a time series data. Box-Jenkins method is a statistical methodology used for prediction of data in time series. During this paper, an ARIMA model is implemented for predicting the data of Wind Speed. Results are compared with respective model i.e., ETS Model. With this paper we like to through some light on ARIMA (Auto-Regressive Integrated Moving Average) and ETS (Exponential Smoothing) models for forecasting the weather conditions in India. ARIMA model is chosen; because of it is acceptable in terms of easiness and extensive of the model. Eight years weather data (from year 2007 to 2014), i.e., wind Speed for time-intervals to forecast (i.e., 1 hours) are used in this research.
Helicobacter pylori eradication therapy: indications, efficacy and safety

Background: Helicobacter pylori infects up to half of the world's population. It remains the major cause of peptic ulcer disease and is recognised as a carcinogen for its role in gastric carcinogenesis. Successful eradication of the bacteria is associated with improved health outcomes including fewer dyspeptic symptoms, reduced peptic ulcer recurrence and rebleeding, reduced peptic ulcer risk with NSAIDs and as a cure for low-grade gastric MALT lymphoma. The risk of gastric cancer is reduced in those without premalignant mucosal abnormalities at the time of eradication. Objective: This review outlines the current indications and options for therapy of H. pylori with particular reference to drug-induced adverse events associated with treatment. Methods: The indications for H. pylori eradication are evidence-based and in accordance with recent consensus statements and recommendations. The eradication treatment is based on numerous clinical trials and meta-analyses. Results/conclusion: Eradication therapy, in general, is safe and well tolerated. Antibiotic therapy may be associated with significant drug adverse reactions, especially gastrointestinal symptoms.
Simultaneous Identification of Segmented Vascular True Vessels From Retinal Replica using Graph Tracer Method

-Identification of retinal blood vessels morphology reflects the heart disease like hypertension, coronary heart disease etc. The contingency of the retinal vessels helps to detect the cardiovascular condition of human body. The aim of this paper is to find the optimal path of the true vessels from the segmented vessel graph. The major challenges in this identification are crossover and bifurcation that leads to ambiguity when one vessel is tracked on a one-at-a-time basis. To avoid this, the vessel tracking, vessel segmentation and vessel identification are preformed simultaneously. Hence the complete vessel of the retina is determined. Keywords— cardiovascular structure, ophthalmology, vessel segmentation, skeletonization
Designing Consensus Algorithms for Three-Link Manipulators

We deal with a consensus control problem for a group of three-link manipulators which are networked by digraphs. Assuming that the control inputs of each manipulator are the torques on its links and they are constructed based on weighted difference between its states and those of its neighbor agents, we aim to propose an algorithm on computing the weighting coefficients in the control inputs, so that full consensus is achieved among the manipulators. The control problem is reduced to designing Hurwitz polynomials with complex coefficients. We show that by using Hurwitz polynomials with complex coefficients, a necessary and sufficient condition is obtained for designing the consensus algorithm. Moreover, the discussion is extended to the case of designing convergence rate of consensus. Numerical examples are provided to illustrate the condition and the design algorithms.
Securing software : an evaluation of static source code analyzers

This thesis evaluated five static analysis tools – Polyspace C Verifier, ARCHER, BOON, Splint, and UNO – using 14 code examples that illustrated actual buffer overflow vulnerabilities found in various versions of Sendmail, BIND, and WU-FTPD. Each code example included a "BAD" case with one or more buffer overflow vulnerabilities and a "PATCHED" case without buffer overflows. The buffer overflows varied and included stack, heap, bss and data buffers; access above and below buffer bounds; access using pointers, indices, and functions; and scope differences between buffer creation and use. Detection rates for the "BAD" examples were low except for Splint and PolySpace C Verifier, which had average detection rates of 57% and 87% respectively. However, average false alarm rates, as measured using the "PATCHED" programs, were high for these two systems. The frequency of false alarms per lines of code was high for both of these tools; Splint gave on average one false alarm per 50 lines of code, and PolySpace gave on average one false alarm per 10 lines of code. This result shows that current approaches can detect buffer overflows, but that false alarm rates need to be lowered substantially.
Schalm's Veterinary Hematology

Section I - Essential Hematologic Concepts Section II - Hemopoiesis Section III - The Erythrocytes Section IV - Leukocytes - Lymphocytes Section V - Leukocytes - Nonlymphoid Leukocytes Section VI - Hemostasis: Platelets - Platelet Structure and Function Section VII - Hemostasis: Platelets - Clinical Platelet Disorders Section VIII - Hemostasis Section IX - Hematologic/Hemopoietic Neoplasia-Lymphoid Neoplasia Section X - Hematologic/Hemopoietic Neoplasia-Nonlymphoid Hemopoietic Neoplasia Section XI - Immunohematology Section XII - Plasma Proteins Section XIII - Genetic Hematologic Disease Section XIV - Specific Species-Appropriate Hematology Section XV - Case Studies Index
A modified location-aided routing protocol for the reduction of control overhead in ad-hoc wireless networks

This paper contributes to the issue of location-aided routing in ad-hoc wireless networks. It focuses on the location-aided routing (LAR) protocol and its way of building the forwarding zone. A modified-LAR algorithm is proposed and three variants of it are examined. All of them are based on the idea of enlarging the request zone, in case of failure of the route discovery phase, instead of restoring to flooding. Simulation results show that the proposed algorithm leads to an improvement in the control overhead.
Automatic text classification using BPLion-neural network and semantic word processing

ABSTRACT Text mining has become a major research topic in which text classification is the important task for finding the relevant information from the new document. Accordingly, this paper presents a semantic word processing technique for text categorization that utilizes semantic keywords, instead of using independent features of the keywords in the documents. Hence, the dimensionality of the search space can be reduced. Here, the Back Propagation Lion algorithm (BP Lion algorithm) is also proposed to overcome the problem in updating the neuron weight. The proposed text classification methodology is experimented over two data sets, namely, 20 Newsgroup and Reuter. The performance of the proposed BPLion is analysed, in terms of sensitivity, specificity, and accuracy, and compared with the performance of the existing works. The result shows that the proposed BPLion algorithm and semantic processing methodology classifies the documents with less training time and more classification accuracy of 90.9%.
AN EMPIRICAL EVALUATION OF CRYPTOOL IN TEACHING COMPUTER SECURITY

In the area of network security, the fundamental security principles and security practice skills are both required for students’ understanding. Instructors have to emphasize both; the theoretical part and practices of security. However, this is a challenging task for instructors’ teaching and students’ learning. For this reason, researchers are eager to support the lecture lessons by using interactive visualization tools. The learning tool CrypTool 2 is one of these tools that mostly cover all of the above. In fact, the evaluations of the effectiveness of the tools in teaching and learning are limited. Therefore, this paper provides an overview of an empirical evaluation for assessing CrypTool 2 tool. The effectiveness of this tool was tested using an empirical evaluation method. The results show that this visualization tool was effective in meeting its learning objectives.
Computation Offloading Strategy in Mobile Edge Computing

Mobile phone applications have been rapidly growing and emerging with the Internet of Things (IoT) applications in augmented reality, virtual reality, and ultra-clear video due to the development of mobile Internet services in the last three decades. These applications demand intensive computing to support data analysis, real-time video processing, and decision-making for optimizing the user experience. Mobile smart devices play a significant role in our daily life, and such an upward trend is continuous. Nevertheless, these devices suffer from limited resources such as CPU, memory, and energy. Computation offloading is a promising technique that can promote the lifetime and performance of smart devices by offloading local computation tasks to edge servers. In light of this situation, the strategy of computation offloading has been adopted to solve this problem. In this paper, we propose a computation offloading strategy under a scenario of multi-user and multi-mobile edge servers that considers the performance of intelligent devices and server resources. The strategy contains three main stages. In the offloading decision-making stage, the basis of offloading decision-making is put forward by considering the factors of computing task size, computing requirement, computing capacity of server, and network bandwidth. In the server selection stage, the candidate servers are evaluated comprehensively by multi-objective decision-making, and the appropriate servers are selected for the computation offloading. In the task scheduling stage, a task scheduling model based on the improved auction algorithm has been proposed by considering the time requirement of the computing tasks and the computing performance of the mobile edge computing server. Extensive simulations have demonstrated that the proposed computation offloading strategy could effectively reduce service delay and the energy consumption of intelligent devices, and improve user experience.
On-road Wireless Sensor Network for Traffic Surveillance

— In this paper, a traffic surveillance system using wireless sensor networks is introduced. Such traffic surveillance system should satisfy more requirements and overcome harder constraints because wireless network systems have some characteristics such as small hardware resources and less stability of communication. Such requirements include energy-efficient operation, reliable data transmission, and accurate operations. A traffic surveillance system using magnetic sensor network is designed and implemented to satisfy mentioned requirements. The designed traffic surveillance system is tested on indoor and outdoor test-beds.
Research on Vector Spatial Data Storage Schema Based on Hadoop Platform

Cloud computing technology is changing the mode of the spatial information industry which is applied and provides new ideas for it. Since Hadoop platform provides easy expansion, high performance, high fault tolerance and other advantages, we propose a novel vector spatial data storage schema based on it to solve the problems on how to use cloud computing technology to directly manage spatial data and present data topological relations. Firstly, vector spatial data storage schema is designed based on column-oriented storage structures and key/value mapping to express spatial topological relations. Secondly, we design middleware and merge with vector spatial data storage schema in order to directly store spatial data and present geospatial data access refinement schemes based on GeoTools toolkit. Thirdly, we verify the middleware and the data storage schema through Hadoop cluster experiments. Comprehensive experiments demonstrate that our proposal is efficient and applicable to directly storing large-scale vector spatial data and timely express spatial topological relations.