Miracle-dz/UniFAR-FTUs huggingface dataset:
Security Preserving Integration and Resynthesis of Reconfigurable Scan Networks

Reliable operation, test, debug and diagnosis of complex integrated systems are ensured by embedded instruments, such as sensors, aging monitors or Built-In Self-Test (BIST) registers. Reconfigurable Scan Networks (RSNs) offer a flexible and efficient way to access such test instruments throughout the whole life-cycle. However, improper RSN integration might introduce additional connectivity properties to the device under test (DUT), which can be exploited to perform unauthorized access or cause information leakage. The existence of such additional connectivity through the RSN can compromise the security of the DUT and is considered as a security threat.In this paper, a method is presented to resolve all such security compliance violations. The problem is formulated in terms of Integer Linear Programming (ILP) as a minimum cut problem in multicommodity flow. An efficient heuristic is presented, which, to our knowledge, for the first time allows to consider the whole set of violations simultaneously and thereby to find a minimized number of changes to the RSN structure in order to make it compliant with the initial security requirements of the DUT and prevent the information leakage through the scan chain.
Monitoring and Control of Reverse Feed Current in Grid Tied PV Systems Using Multiple MPPT Inverter

Availability of Energy resources is very important for economic growth of a country. Conventional energy resources are exhaustible and will deplete in near future, so it is need of hour to find new sources of energy. To meet current energy demand renewable resources especially Solar Photovoltaic (SPV) energy is being in much focus. If a PV system generates output that is more than the load requirement. The produced excessive energy will cause reverse current flowing towards the generator causing damage. For grid tied PV systems multiple MPPT inverter can be used to avoid this reverse feed current. Multiple MPPT control algorithm works by controlling the output of system by adjusting Maximum Power Point using feedback from generator. A grid-tied PV system connected with synchronous generator is designed in MATLAB Simulink toll to investigate the performance of proposed MMPT Control Algorithm for controlling Reverse Feed Current (RFC).
Hybrid CNN-SVM classifier for efficient depression detection system

Depression is a serious debilitating mental disorder affecting people from all ages all over the world. The number of depression cases increases annually in a continuous way. Due to the complexity of traditional techniques based on clinical diagnosis, there is a need for an automatic detection system of the depression. In this paper we present a novel audio-based approach to automatically detect depression using hybrid model. This model combines convolutional neural networks (CNN) and support vector machines (SVM), where SVM takes the place of the fully connected layers in CNN. In this proposed model, the features are automatically extracted using CNN and the classification is done using the SVM classifier. This approach was evaluated using DAIC-WOZ dataset provided by AVEC 2016 depression analysis sub-challenge. Experimental results showed that our hybrid model achieved an accuracy of 68% which outperform the CNN model (58.57%). Compared to the previous audio-based works using the same DAIC-WOZ dataset, our work showed a significant improvement in terms of accuracy, precision and recall.
Evaluation of 3D small-angle scattering from non-spherical particles in single crystals

Three-dimensional small-angle scattering is discussed as a tool for investigation of anisometric particles in single-crystalline alloys. The measurement and evaluation methods take advantage of the well defined orientation relation between the precipitates and the matrix in alloys. The determination of shape, size and orientation of precipitates from the scattering in several planes of reciprocal space is discussed for the example of ellipsoids and plates. Shape and orientation of ellipsoids with small aspect ratio can be determined by deviations of the scattering intensity from spherical symmetry in certain planes of reciprocal space. Particle size is obtained from one-dimensional slices along certain directions. The small-angle scattering of plate-like particles with large aspect ratio is concentrated along radial streaks in reciprocal space. Slices along and across these streaks allow the determination of the plate thickness as well as size and aspect ratio of the plate surface. In addition, the evaluation of such `off-center' slices provides a resolution enhancement of almost one order of magnitude compared to the conventional Guinier method applied to spherically averaged data.
Production and properties of a fibrinolytic enzyme by Schizophyllum commune BL23

Schizophyllum commune BL23 was cultivated for the production of a fibrinolytic enzyme under submerged culture conditions. Maximum growth (8.93 g/l) with fibrinolytic enzyme activity (576.73 units) was achieved when S. commune BL23 were cultured in a peptone yeast extract dextrose broth with an initial pH of 6.0, a temperature of 35 o C and a shaking speed of 150 rpm for 7 days. The protein fraction precipitated with 80% ammonium sulfate saturation had the highest fibrinolytic activity (35.12x10 4 units/mg protein). Ammonium sulfate was found to activate the fibrinolytic activity after dialysis. Fibrinolytic enzyme was partially purified using anion exchange chromatography (DEAE-Sephacel). Purity was increased 86 fold and specific activity of 39.31 x10 4 units/mg protein was obtained. A single protein band after native polyacrylamide gel electrophoresis (Native PAGE) exhibited fibrinolytic enzyme activity. The maximum activity of the partially purified enzyme was found at 50 o C. Enzyme was stable in the temperature range of 30-50 o C for 48 h but its activity was progressively lost at 60 o C. Activity was retained by 70% over the pH range of 5.0-11.0 at 28 o C for 20 min. After prolonged incubation (48 h), it was stable only in a narrow pH range (6.0-9.0). At pH 7.0 and 30 o C, its activity was retained for 60 days. The fibrinolytic activity was inhibited by 1,10-phenanth roline and EDTA and was completely inactivated by Hg 2+ . Increasing concentrations of EDTA progressively decreased the enzyme activity. However, its activity was not affected by PMSF and SBTI. The results indicate that the enzyme was most likely a metalloprotease.
Novel high‐dielectric‐permittivity poly(vinylidene fluoride)/polypropylene blend composites: The influence of the poly(vinylidene fluoride) concentration and compatibilizer

Novel high-dielectric-permittivity poly(vinylidene fluoride) (PVDF)/polypropylene (PP) blend composites were prepared via a blending technology, and their dielectric properties were studied over wide ranges of temperatures and frequencies. To improve the interface bonding between PVDF and PP, a suitable compatibilizer, polypropylene-graft-maleic anhydride (PP-g-MAH), was employed. The results showed that the concentration of PVDF in the composites dominated the changes in the dielectric properties and that the use of PP-g-MAH could improve the interface interaction between PVDF and PP, resulting in an increase in the dielectric permittivity. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007
Using the Ferromagnetic Fingerprint of Rails for Velocity Estimation and absolute Localization of Railway Vehicles

This paper describes the difference inductance sensor that provides position, velocity, and acceleration of railway vehicles based on an analysis of the ferromagnetic fingerprint of the rail. We describe the algorithms for velocity estimation based on a correlation principle, for acceleration estimation based on a warping principle, and for position estimation based on a comparison of ferromagnetic signatures with a digital map. The empirical results exhibit high accuracy and high availability of the estimates.
Towards centimeter accurate positioning with smartphones

Nowadays, Android enables the access of GNSS raw data and, thus, an in-depth evaluation of smartphone GNSS observations. We analysed and compared GNSS code and phase observations and the achievable position accuracies of three Android devices: tablet Google Nexus 9, smartphones Xiaomi Mi8 and Huawei P30. Not all the phase observables of these devices possess the property of integer ambiguities. We were able to perform precise antenna calibrations on GPS L1 for both smartphones and obtained corrections for the phase center offsets and phase center variations. The latter do not exceed 1 to 2 cm. With successful ambiguity fixing, we achieved standard deviations of the 3D positions of 2 to 3 cm after 30 minutes of static observations in baseline mode.
Elderly Patient’s Understanding on Self-management of Diabetes Mellitus in Bahrain

Diabetes mellitus currently affects over 422 million people worldwide and is a seventh leading cause of death. Between 2013 and 2016 there were 75,480 cases of diabetes in Bahrain. Self-care interventions for health are among the most promising and exciting new approaches contributing to universal health coverage. Lack of diabetic self-care behaviors can lead to more complications of the disease and is an essential part of controlling diabetes. The greater the understanding of diabetes, the more the self-management among diabetic elderly in Bahrain. Our aim was to examine the different types and understanding of diabetic self- management in older people with diabetes from a range of socio-economic backgrounds. A cross-sectional study was carried out among the diabetics in a diabetic center (n= 43) and in the community (n=393) in Bahrain using a validated survey instrument. Majority were Bahrainis (n=248); males (n=241) and 316 had the family history of diabetes. Of the responses to diabetic understanding: physical examinations of foot and eye, testing for blood sugar, lack of consultation with the dietician were significant (p<0.005). Likewise, of the responses to diabetic understanding among the insulin takers: low blood sugar levels, taking a drink or a snack and increasing diabetic treatment were significant (p<0.005). Normally, the diabetics in Bahrain prefer to consult diabetic clinics or a GP. Majority of the participants were taking tablets to control diabetes than insulin alone or both tablets and insulin or diet, tablets and insulin (p< 0.005). Our study showed that the majority of the elderly with diabetes, regardless of socio-economic status, saw a medical professional, underwent some form of treatment and understood basic diabetes management.
Capital Structure, Equity Ownership and Earnings Management

The purpose of this study is to examine the impact of capital structure and equity structure on earnings management practices. The empirical analysis of 120 firm-year observations during the period from 2014 to 2019 for the listed firms in Bahrain and Oman stock markets indicates that concentrating (block-holders) ownership is positively associated with earnings management. Also, the empirical results show that increased liabilities might drive management to use discretionary accruals to aggressively report earnings to meet covenants’ terms. Moreover, we found out that a profitable firm is less likely to engage in earnings management practices.
Feature Extraction with Triplet Loss to Classify Disease on Leaf Data

This paper addresses the plant disease detection and classification using Deep Learning approach. In particular, we propose a novel model using the Triplet Loss together with the fine-tuned pre-trained MobileNet model to extract good features, classify, and detect diseases of plants from the open-source PlantVillage dataset. Using our proposed model, the achievable results are 99.92%, which outperforms the existing models using the same dataset. Furthermore, our proposed model can support the large-scale agricultural sector, which plays an important role in ensuring food security during the current COVID-19 crisis.
Analytical formulation of the vertical refractivity profiles associated to evaporation ducts

Ducting is a major phenomenon that affects the radar systems operating above the sea surface. The refractivity profiles derived from bulk models can be approximated by analytical expressions whose precision must be analyzed. We examine here a quite new published expression and show that, in terms of radar propagation, it gives very similar results to those obtained with the complete bulk profiles (The computed propagation factors generally differs by only a few tenths of dB).
Automatic Analytics Model for Learning Skills Analysis Using Game Player Data and Robotic Process Automation in a Serious Game for Education

Utilizing serious games as a learning support tool can motivate students' interest in learning and improving their educational skills. The effectiveness of serious games in learning is usually assessed with traditional paper-based pre-posttests tools and predefined learning outcomes. However, serious game player data have proven to be a useful tool to measure the effect of games on student knowledge, learning skills and to evaluate their academic performance and achievements. In this paper, we introduce a new model for automatically read game player data and provide an analysis of game player learning skills. The model is composed of game learning analytics, robotic process automation, and the statistical analysis package to assess the effect based on game players' data. The model used the plant kingdom unit in the science book of grade eight students. The learning outcomes, content, and learning skills are considered in developing game content. The model tested on a sample of 15 students aged 13–14 years from Palestinian public schools. The students played the game four times, and the game's player data sent automatically into the game database and analyzed. The model provides an efficient pre-posttest assessment tool based on the game players dataset. The results showed a significant improvement in learning skills performance measures after comparing the results of the first session with the fourth session.
A Study of the Connection Between Bending Stress and Belt Friction Using a Servomotor Controlled by a Computer

The aim of the publication is to design an analytical relationship for determining the bending coefficient measurable by belt friction. Following the results of the presented measurements, the theoretical assumption is verified that in the material of the belt stress arises during the friction of the contact surfaces, due to external forces and bending of the belt. Selected experiments of drawing a polypropylene belt at a constant speed over an aluminium cylindrical surface are carried out using a servo drive on a measuring bench with computer-controlled instrumentation. The results of friction and bending coefficient measurements are interpreted in connection with the setting of various input parameters (especially friction surfaces and belt thicknesses), at a constant shaft speed. The newly identified dimensionless bending coefficient of belt friction is a material coefficient with a comparative information value concerning the flexibility of the belt, suitably supplementing the friction Euler-Eytelwein coefficient. The presented publication can be suitably applied especially to the engineering educational process.
Integrated Chassis Control With Four-Wheel Independent Steering Under Constraint on Front Slip Angles

This paper presents a method to design an integrated chassis controller with four-wheel independent steering (4WIS) under the constraint on front slip angles for electric vehicles (EVs) adopting in-wheel motor (IWM) driving system. To improve lateral stability and maneuverability of a vehicle, direct yaw moment control strategy is adopted. A control allocation method is adopted to distribute control yaw moment into tire forces, generated by 4WIS. If corrective steering angles of 4WIS are added to front steering angles generated by a driver, it can deteriorate control performance because the lateral tire force of front wheels easily saturated and it causes loss of required yaw moment needed to stabilize a vehicle. To cope with the problem, it is necessary to impose constraints on front slip angles. To compensate the loss of control yaw moment caused by the constraint on front slip angles, a constrained control allocation method is presented. Simulation on driving simulation tool, CarSim®, shows that the proposed integrated chassis controller is capable of maintaining lateral stability and maneuverability without performance deterioration under the constraint on the front slip angles.
Physico-Geometrical Kinetics of Solid-State Reactions in an Undergraduate Thermal Analysis Laboratory

An undergraduate kinetic experiment of the thermal decomposition of solids by microscopic observation and thermal analysis was developed by investigating a suitable reaction, applicable techniques of thermal analysis and microscopic observation, and a reliable kinetic calculation method. The thermal decomposition of sodium hydrogen carbonate is selected as the suitable reaction for the student experiments, because its physico-geometrical reaction mechanism is approximately described by the two-dimensional phase boundary controlled model, and its reaction kinetics are less sensitive to the measurement conditions of thermal analyses. On the basis of simple microscopic observations of this reaction, development of the physico-geometrical reaction model and derivation of the kinetic model function are imposed on students. The kinetic analysis is also performed using the kinetic rate data recorded by a single thermogravimetric run under modulated temperature conditions. This reduces the time spent in the labor.
Finite Element Analysis of Artificial Lymphatic Drainage System for a Vascularized Microfluidic Scaffold

Regenerative medicine allows replacement of damaged tissue due to injury or disease. Vascularization is one of the requirements of the tissue in order to survive and regrowth. One approach to overcome this problem is using microfluidic vessels combined with the drainage channel inside the scaffold. In this study, the scaffold is made of type I collagen with a porosity of 81 percent. The geometry of the vessel follows Murray’s law. The effect of parameters such as vascular hydraulic conductivity, scaffold hydraulic conductivity, drainage channel radius, and perfusion pressure on transmural pressure and shear stress was investigated. Simulations on the vessel with a diameter of 100 μm have shown the maximum interstitial velocity of 50E-9 m/s, maximum interstitial pressure of 1.34E+3 Pa, and minimum transmural pressure of 1.49E+3 Pa. Average shear stress on the wall of the vessel was 10 dyn/cm2. It was noted that decreasing the pressure at the drainage channels outlet, reducing vascular hydraulic conductivity, increasing scaffold hydraulic conductivity, and increasing drainage channel radius will create and maintain a positive transmural pressure in the scaffold.
Effect of Chemical Heterogeneity on Adsorbed Solute Dispersion at Column Scale

Chemical heterogeneity seems to be responsible for spreading increase of adsorbed solute breakthrough curves. Adsorption in fixed beds assumes chemically homogeneous media. However, this is not always true, in particular when natural sands or mixed adsorbent filters are used in drinking water purification. Neglecting eventual effect of chemical heterogeneity may engender false modeling bases. So, considering homogeneous grain size distribution, the effect of chemical heterogeneity on global dispersion in porous media has been investigated experimentally in this article at column scale. Breakthroughs of adsorbed solute showed a visible effect of chemical heterogeneity on solute global dispersion increasing. The more heterogeneous the medium, the more spread the adsorbed solute breakthrough. Reduced variance showed a linear variation with the chemical heterogeneity scale at closely constant media global capacity. A pseudo-homogeneous model has been developed to simulate experimental data by increasing dispersion parameter. © 2008 American Institute of Chemical Engineers AIChE J, 2008
Influence of Hand Representation Design on Presence and Embodiment in Virtual Environment

Previous research results have emphasized the influence of avatar representations on user perception in virtual environments, including presence and embodiment. It has been reported that realistic hands present a strong sense of presence and body ownership, while there is a controversy about the sense of agency. This paper investigates the influence of virtual hand representation on user perception and the association between the sense of body ownership and agency. An experiment based on virtual reality was designed with hand representations of different levels of realism to collect users’ perception data through questionnaires, and the Spearman correlation was adopted to analyze the relationship between body ownership and agency. The results show that realistic hand induces the higher sense of presence and body ownership, but there is no significant difference in the sense of agency. Moreover, a positive correlation between body ownership and agency in virtual environments was found.
Customer Loyalty in Marketplace: Structural Equation Modeling Analysis

The rapid development of the three business models, namely online stores via social media, e-commerce with the Consumer to Consumer concept, and e-commerce with the Business to Consumer concept, caused a high level of competition so owners must know and fulfil customer wishes. This challenge was certainly not easy, e-commerce owners provided the best service by maintaining the quality of the website especially security factor to convince visitors so that they gain trust and develop into customer loyalty. This research aimed to analyze the effect of website security on customer loyalty with trust as Shopee web moderation variable. Primary data collection technique used in this study is by spreading questionnaires to the student respondents of the ITB STIKOM Bali information system study program. The data analysis method used Structural Equation Model. Based on the results of the analysis that has been obtained, it is discovered that the web security had a significant effect on the customer trust, the web security had a significant effect on the customer loyalty, and the customer trust variable did not have a significant effect on the customer loyalty variable on the Shopee website. The results of this research were considered by Shopee's management to pay attention to the variables of web security and customer trust that can-shaped customer loyalty so that later the company's goals will be achieved.
Distributed Photometric Bundle Adjustment

In this paper we demonstrate that global photometric bundle adjustment (PBA) over all past keyframes can significantly improve the global accuracy of a monocular SLAM map compared to geometric techniques such as pose-graph optimization or traditional (geometric) bundle adjustment. However, PBA is computationally expensive in runtime, and memory usage can be prohibitively high. In order to address this scalability issue, we formulate PBA as an approximate consensus program. Due to its decomposable structure, the problem can be solved with block coordinate descent in parallel across multiple independent workers, each having lower requirements on memory and computational resources. For improved accuracy and convergence, we propose a novel gauge aware consensus update. Our experiments on real-world data show an average error reduction of 62% compared to odometry and 33% compared to intermediate pose-graph optimization, and that compared to the central optimization on a single machine, our distributed PBA achieves competitive pose-accuracy and cost.