Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploitation des techniques de l’intelligence artificielle pour l’optimisation de la QoS et l’efficacité spectrale dans les réseaux de radio cognitive.

Le concept d'acces dynamique au spectre vient remedier au probleme de la rarete spectrale resultant de la multiplication des services et standards de communications sans fil a travers une technologie cle la radio cognitive. Cette derniere est consideree comme etant un dispositif intelligent et autonome capable de prendre des decisions d'adaptation a son environnement dynamique en temps reel afin de satisfaire les besoins de l'utilisateur en termes de qualite de service tout en respectant le cadre de regulation en vigueur. Dans cette these, nous proposons de nouveaux algorithmes bases sur des approches bio-inspirees qui ont ete developpees lors de cette derniere decennie, a savoir : l'algorithme des lucioles, la recherche Coucou et l'algorithme de la chauve-souris, pour l'adaptation des parametres de transmission qui a ete formulee sous forme d'un probleme d'optimisation multi-objectifs. Les resultats obtenus au travers d'une serie de tests et de simulations demontrent clairement une nette superiorite de nos algorithmes en termes de qualite des solutions et de vitesse de convergence par rapport aux techniques les plus utilisees dans la litterature, a savoir les algorithmes genetiques et l'algorithme d'optimisation par essaim de particules.
Factors Affecting Motion Sickness in an Augmented Reality Environment

This study aims to evaluate the factors affecting motion sickness in the Augmented Reality (AR) environment. Motion sickness is due to a difference between actual and expected motion. When people use Virtual Reality (VR), they experience symptoms of motion sickness due to the inconsistency in vision and body movements. To measure the motion sickness, a VR Sickness Questionnaire (VRSQ) measurement index is used. The experiment was conducted with the following settings. The study group consisted of 12 female and 12 male participants with no health problems. They performed the task of repeatedly selecting specific buttons. It consisted of a total of 240 button selections (12 treatment (two methods of selection × two button sizes × three distances) × 4 choices × 5 sets = 240 tasks). The Latin Square design was used to minimize the effect of order. Then, a questionnaire was conducted after each treatment. ANOVA (ANalysis Of VAriance) was performed to check if there were differences in Oculomotor, Disorientation, and VRSQ total score. There was a significant difference in selection method and distance of VRSQ Oculomotor. It is recommended to use physical buttons and to have a distance of 100 cm from the target to reduce the motion sickness in AR environment. Keywords-Augmented reality; simulator sickness questionnaire; virtual reality sickness questionnaire.
Blockchain Application in Remote Condition Monitoring

Through advanced sensor technologies, satellite-based authentication, and high bandwidth data networks, Remote Condition Monitoring (RCM) systems are now an essential ‘Internet of Things’ (IoT) resource for efficient operation of railway infrastructure. However, the full potential of this big data has yet to be realized. Data is currently collected and used in siloes, with limited visibility of all possible datasets for exploitation. The RSSB on behalf of the UK Rail Industry established a cross-industry research program, T1010, to build stronger cooperation between stakeholders in sharing RCM data. This research builds upon T1010, to explore the use of blockchain and smart contracts to automate, in an auditable and tamper-proof way, the commercial agreements and payment processes for data trading. By removing the limitations of paper-based agreements, our goal is to enable innovation in shared business processes and an IoT data marketplace. Building on existing smart contract-based schemes for trading and sharing IoT data over blockchain networks, this research identifies novel ways to enforce agreements and ensure fair cost attribution between parties, without a Trusted Third Party. The initial design of a blockchain-based framework is presented, oriented around the data provider, consumer, and smart contracts. Blockchain-hosted data access agreement and accounting models are specified in detail. The processors in the efficient permissioned blockchain platforms Hyperledger Fabric, Sawtooth, and Iroha have been analyzed for their suitability for implementation. We then outline our future work to evaluate and validate two industrial use cases: monitoring systems for unattended overhead line equipment and axle bearings.
Solubility, heat capacity, and density of lithium bromide + lithium iodide + lithium nitrate + lithium chloride aqueous solutions at several compositions and temperatures

The lithium bromide + lithium iodide + lithium nitrate + lithium chloride (mole ratio 5:1:1:2) aqueous solution is a potential working fluid for air-cooled absorption chillers. Three important thermophysical properties were measured: solubility, heat capacity, and density. The solubilities were measured, in the temperature range (276.04 to 353.21) K, using visual polythermal and calorimetric methods. Heat capacities were measured in the range of temperatures from (312.63 to 372.08) K and a range of total salt mass fraction of (0.4953 to 0.6394). Liquid densities were measured at 1.0 MPa from (303.15 to 423.15) K and total salt mass fraction from (0.5150 to 0.6594). In addition, the Young's rule was checked for density predictions in the reported system at (305.15 and 323.15) K and 0.1 MPa. For this purpose, densities of the quaternary salt and lithium iodide aqueous solutions were measured at 0.1 MPa and several temperatures and concentrations. All the experimental data were correlated using empirical po.
The effect of heat setting on the structure and mechanical properties of poly(ethylene terephthalate) fiber. I. Structural changes

We report structural changes in commercial multifilament poly(ethylene terephthalate) (PET) yarn when it is heat set in silicone oil over a range of temperatures between 100 and 220°C for times ranging from 1 min to 1 hr, while the yarn was (1) free to relax, and (2) held taut at constant length. In one case, viz., a sample heat treated for 1 hr, the cooling time was also varied to study the effect of rate of cooling. The free-annealed and taut-annealed samples showed considerable differences. The predominant role of the temperature of heat setting on structure is discussed in detail. There are considerable changes in the amount and orientation of the amorphous phase, and these will be shown to have important influence on mechanical properties in subsequent reports.
Characterization of the Short-Range Couplings in Excitation Energy Transfer

The electronic coupling in excitation energy transfer (EET) is composed of a Coulomb coupling (which can be approximated as the Forster's dipole coupling), a Dexter's exchange coupling, and a term arising from the orbital overlap of the donor and acceptor fragments. We have developed a new scheme to account for the EET coupling by generalizing the fragment charge difference scheme [Voityuk, A. A. ; Rosch, N. J. Chem. Phys. 2002, 117, 5607] for electron-transfer coupling. As a result, the EET coupling can be calculated in a general class of systems irrespective of the molecular symmetry. The short-range coupling, defined as the contribution from Dexter's exchange coupling and the overlap effect, was obtained as the difference of the EET coupling from this new scheme and a precise account of the Coulomb coupling. For a pair of stacked naphthalenes, the short-range coupling is very similar to the triplet−triplet energy-transfer coupling in both magnitudes and the distance dependences. We have observed cases i.
Anaerobic Co-Digestion of Swine Manure and Corn Stover for Biogas Production

Anaerobic co-digestion of swine manure and corn stover for biogas production has been studied in two completely-mixed and semi-continuously fed reactors (Reactor 1 and Reactor 2). Each reactor had a working volume of 14 liters and was operated at 35°C, a hydraulic retention time of 25 days, and an agitation speed of 120 rpm. Initially the reactors were operated as duplicates and each was fed with 560 ml of swine wastewater per day. After a stable performance had been achieved in both reactors with almost the same results, corn stover was added to Reactor 2 to get a Carbon to Nitrogen ratio (C:N) of 10:1. Since then 560 ml of swine wastewater and 14 g of corn stover have been added to Reactor 2 every day to keep the C:N ratio at 10:1. In the meantime Reactor 1 has been fed the same as previously.
Property and microstructural nonuniformity in the yttrium-barium-copper-oxide superconductor determined from electrical, magnetic, and ultrasonic measurements

The purpose of this dissertation was the following: (1) to characterize the effect of pore fraction on a comprehensive set of electrical and magnetic properties for the yttrium-barium-copper-oxide (YBCO) high temperature ceramic superconductor; and (2) to determine the viability of using a room-temperature, nondestructive characterization method to aid in the prediction of superconducting (cryogenic) properties. The latter involved correlating ultrasonic velocity measurements at room temperature with property-affecting pore fraction and oxygen content variations. The use of ultrasonic velocity for estimating pore fraction in YBCO is presented, and other polycrystalline materials are reviewed, modeled, and statistically analyzed. This provides the basis for using ultrasonic velocity to interrogate microstructure. The effect of pore fraction (0.10-0.25) on superconductor properties of YBCO samples was characterized. Spatial (within-sample) variations in microstructure and superconductor properties were investigated, and the effect of oxygen content on elastic behavior was examined. Experimental methods used included a.c. susceptibility, electrical, and ultrasonic velocity measurements. Superconductor properties measured included transition temperature, magnetic transition width, transport and magnetic critical current density, magnetic shielding, a.c. loss, and sharpness of the voltage-current characteristics. An ultrasonic velocity image constructed from measurements at 1mm increments across a YBCO sample revealed microstructural variations that correlated with variations in magnetic shielding and a.c. loss behavior. Destructive examination using quantitative image analysis revealed pore fraction to be the varying microstructural feature.
Observation of gravity fluctuations due to tide-induced groundwater table fluctuations with two superconducting gravimeters

<p>Estimation of aquifer hydraulic properties is necessary for predicting groundwater flow and hence managing groundwater resources. Analysis of tide-induced groundwater table fluctuations in unconfined aquifers is one of the methods to estimate aquifer properties. Changes in groundwater level affect surface gravity. Consequently, surface gravity in coastal regions is expected to fluctuate due to the groundwater table fluctuations and is potentially useful for estimating aquifer properties. Moreover, gravity measurements are sensitive to mass redistribution around the observation location and therefore are useful for estimating the storage coefficient of an aquifer. In this study, surface gravity and unconfined groundwater level were measured continuously near the coast of Japan to observe gravity fluctuations due to the tide-induced groundwater table fluctuations. Groundwater level measured in two wells at 60 and 90 m distances from the coastline fluctuated in response to ocean tides. Two superconducting gravimeters (SGs) were installed at 70 and 80 m distances from the coastline and at an elevation of 8 m. After taking the difference between gravity values recorded with the two SGs and then correcting the gravity difference for ocean loading effects, diurnal and semi-diurnal gravity fluctuations, which are possibly due to tide-induced groundwater table fluctuations, were recognized. These results suggest that gravity monitoring with two SGs at different distances from the coastline can be useful for observing gravity fluctuations due to tide-induced groundwater table fluctuations and possibly for estimating aquifer hydraulic properties. </p>
Classification of Android APIs Posts : An analysis of developer’s discussions on Stack Overflow

Discussions concerning mobile applications development are growing significantly in the recent years in questions and answers websites such as Stack Overflow (SO). Developers commonly resort to Stack Overflow to solve their technical issues and seek professional help. In this paper, we aim to analyze developers’ discussions about Android APIs in order for us to understand how these questions evolve over the years and what answers could possibly contain (code, URL). Therefore, we suggest a novel classification technique to identify the Android APIs that are being most discussed. The proposed technique is based on the official online documentation of Android APIs and the Random Forest Classifier algorithm (RFC). Our findings show that the most discussed Android APIs by developers on SO is “google.android. collect”.
Discharge characteristics of an atmospheric pressure radio-frequency plasma jet

An atmospheric pressure plasma jet using radio-frequency (rf) (13.56 MHz) power is developed to produce a homogeneous glow discharge at low temperatures (between 50°C and 150°C on the inner electrode). Discharge parameters (power, voltage, current and the phase angle) are measured and the influence of the operating parameters on the discharge characteristics is investigated for a He/O2 gas mixture. By varying the input power, a ‘phase saturation’ region and the ‘arc failure’ mode are identified. The optimized flow rate ratio between oxygen and helium is found to be 0.1/40 slpm in our experiment. At this ratio, a low power consumption and wide operational range for rf power (200 W) are obtained.
Design Guidelines for Educational Games Targeting Children

—There exists a wide range of frameworks with design guidelines within child-computer interaction and educational games. However, hardly any frameworks can be found that combine both these areas. This work aims to develop accessible and easily applicable design guidelines aimed towards educational games for children. A literature review was conducted within the areas of games, educational games, and child-computer interaction. From the publications, 42 guidelines within educational games and child-computer interaction were elicited. The guidelines were applied and tested on a healthcare application. Based on the outcome of the evaluation, formulations of the guidelines were updated and resulted in a new, more easily applicable compact version of the framework, named the Educational Games for Children (EGC) framework, presenting 24 guidelines within educational games for children.
Privacy Model: Detect Privacy Leakage for Chinese Browser Extensions

The wide use of browser extensions brings the privacy leakage problem. The previous works detected private data transmission to find privacy leakage in Chrome or Firefox, but the real challenge is to determine whether the transmission is reasonable because the privacy data that existed in transmission does not absolutely mean leaking. To this end, we establish a privacy model for each extension, which contains the sensitive information permitted to be used and servers authorized to communicate with. In order to evaluate the effectiveness of the proposed method, we develop a dynamic browser extension privacy detection framework. It first builds privacy models for extensions and records all network traffic when accessing test pages. Then, the leakage results are presented according to the strict privacy leakage judgment rules. In this paper, the experiments are conducted in a real environment, and our work is verified by 34,095 extensions which are collected from 3 mainstream browsers in China from November 2019 to August 2020. There is a total of 2,983 extensions that exist privacy leakage. We further conduct a comprehensive analysis of the results including calculating the precision, recall, accuracy, and F1 score for each type of leakage, and show the information leaked by different extension categories and the malicious domain name that collecting the users’ privacy, as well as the results changing of detection over time.
Molecular properties in solution described with a continuum solvation model

The study of molecular systems in a condensed phase with quantum-mechanical tools introduces problems not present in analogous studies on isolated molecules. Some of these problems are presented in the introductory part to justify a strategy to elaborate a theoretical model starting from an accurate continuum description of the solvent. This is here achieved through the polarizable continuum model (PCM), which also permits explicit consideration of solvent molecules. The decision of relying on the description of a large number of properties to refine the model is then justified. The consideration of complex molecular properties of a various nature has led to the elaboration of numerous additional features not present in the basic version of PCM, some among which are here briefly presented: local field and nonequilibrium effects, specific solute–solute and solute–solvent interactions, description of condensed phase with more complex structure. The paper ends with the presentation of some results, selected among a larger set of available examples, and limited to a few properties, to show the potentialities of the approach.
Ageing Monitoring of GaN Transistors using Recurrent Neural Networks

In this paper we propose a method to track the degradation of GaN transistors during high temperature switching operation. Using a Long Short-Term Memory (LSTM) based recurrent neural network (RNN) encoder decoder architecture we are able to determine whether the device is still working normally or if its behavior changed compared to the initial one.
Improvement of Segmentation Accuracy for Pose Estimation by Selecting an Instance

We improved accuracy of instance segmentation and pose estimation. Pose estimation is required to pick and place objects correctly if we develop a robot that stocks products. Mask R-CNN, a conventional method for instance segmentation tends to lower its accuracy under complex environments. Now, we focused on that robots deal with only one object per one task. We developed a new method that selects one instance that was segmented successfully and then refines it intensively. Our method lowered pose estimation error 1.3×.
Novel aqueous chelating agents for catalytic oxidation of hydrogen sulfide to sulfur by air

Six phosphorus-containing analogues of nitrilotriacetic acid (NTA) or ethylenedinitrilotetraacetic acid (EDTA) form stable Fe(III) complexes which have been tested as catalysts for the oxidation of hydrogen sulfide. Ligand 4, phosphonomethyliminodiacetic acid (NTAP), was found to be comparable with NTA in efficiency of catalytic activity such as the conversion of hydrogen sulfide to sulfur, half-life of ligand, consumption of ligand per kg of sulfur product. A quantitative analytical method of phosphorus-containing ligand in the absorbed solution has been successfully established by applying 31P-{1H} NMR.
Particle size characterisation of in-flow milling products by video image analysis using global features

The objective of this work was to characterise the particle size of milling products by image analysis. Four classes of milling products were obtained by varying the roll gap of the second break roll of the mill. Images were acquired by using an in-flow imaging system implemented in the mill, and 1300 images were recorded for each class. Three methods of image analysis were investigated: morphological opening, constant grey level run lengths and grey level spatial interdependences. Discriminant analyses were applied to the data extracted from the images by the three methods in order to identify each class of milling product. More than 77% of the samples were correctly assigned to their group, both for the calibration and validation sets. The best results were obtained by applying morphological openings or by computing parameters from the co-occurrence matrices. The number of correct classifications rose to 81% of samples with only three variables selected for the opening curves and to 83% with three co-occurrence parameters.
Dissociation Dynamics and Thermochemistry of Energy-Selected CpCo(CO)2+ Ions

Photoelectron photoion coincidence (PEPICO) spectroscopy has been used to investigate the dissociation dynamics of the cyclopentadienyl cobalt dicarbonyl ion, CpCo(CO)2+. The dissociation proceeds by the sequential loss of the two CO molecules. Both reactions proceed with no reverse activation energies and are slow near their dissociation onset. The 0 K onset was determined by modeling the measured dissociation rate constants with RRKM theory utilizing the variational transition state theory to locate the transition states. The ionization energy of CpCo(CO)2 was measured from the threshold photoelectron spectrum to be 7.35 eV, which agrees with the literature value. The neutral CpCo(CO)2+ gas-phase heat of formation of −117 ± 10 kJ/mol was determined from the liquid value by measuring the heat of vaporization of 52.12 ± 0.68 kJ/mol. The first Co−CO bond energy in the CpCo(CO)2+ was found to be 1.53 ± 0.02 eV (148.1 ± 2 kJ/mol), giving a 298 K gas phase heat of formation of 857 ± 10 kJ/mol for CpCoCO+. The.
Dynamic 3D-Obstacles Detection by a Monocular Camera and a 3D Map

We developed a new method for 3D-obstacles de-tection using a 3D map. Three-dimensional-obstacles detection is a key function of autonomous driving. It is easy to detect static obstacles because they exist in the 3D map. However, the 3D detection of dynamic obstacles that are not in the 3D map is difficult for a typical in-vehicle camera that cannot measure the distance. We aim to detect dynamic obstacles three-dimensionally, using an in-vehicle camera. And we deal with the new problem of accurate 3D reconstruction by using a monocular camera and a 3D map. To solve this problem, we focused on semantic segmentation for detection and depth completion to complement the depth map. We propose a multitask neural network (NN) that shares the encoder of semantic segmentation NN and depth completion NN, whose inputs are an image and a 3D map. The proposed multi-task NN detects dynamic obstacles 1.4 times more accurately than the singletask state-of-the-art method.