Miracle-dz/UniFAR-FTUs huggingface dataset:
JUnit in action

HIGHLIGHT Updated and revised edition of a Manning classic and the only in-depth book on JUnit. Explains modern unit testing principles and the latest features in JUnit 4.5. DESCRIPTION Unit testing during software development, done properly, can mean the difference between a project's success and failure. JUnit in Action, Second Edition is an up-to-date guide to unit testing Java and Java EE applications using the popular JUnit framework and its extensions. Revised and updated from the best-selling original, the book provides techniques to help readers exploit JUnit 4.5. JUnit in Action, Second Edition summarizes many related open-source tools, offering a mature view of the unit testing field including strategies for EJB, database, and web applications. With real-world examples throughout, the authors demonstrate how to incorporate open source frameworks with JUnit, and explain test-driven development and other best practices for modern unit testing. KEY POINTS * Strong early demand through Manning's Early Access program (MEAP) * Covers latest JUnit 4.5 features including annotations, exception handling and assertion methods * Concise and developer-centric "In Action" style * Examples with AJAX applications, mock testing, test automation and more
Preparation of polyethylene glycol/silicon dioxide phase change materials

This paper deals with the preparation of polyethylene glycol (PEG)/silicon dioxide (SiO2) composites as shape-stable, solid-liquid phase change material (PCM) for thermal energy storage and determination of their thermal properties.The result showed that it was successful to keep the same shape in the solid state by making PEG adsorbed on microporous SiO2 network even when the temperature of the PCM was over the melting point.The PCM also had favorable heat capacity and high thermal conductivity, which could be used in solar energy and some other applications.
Context-aware framework for analysis of horse-race videos

Today sports analysis systems draw the attention of many commercial entities and are providing many opportunities for computer vision researchers to study and develop automated sports analysis systems. The primary objective of a sports video analysis is to interpret low-level visual features to high-level semantics that can be understood by the end user. Although all sports video analysis systems are based on similar principles at the low-level visual extraction, interpreting this visual information to high-level human understanding is extremely specific to the sport in question. This project is the very first attempt to evaluate the jockeys’ performance from horse-race TV broadcasts. The aim of this thesis is to extract high-level information from the horse race by automatically detecting and tracking jockeys, specifically at turning points of the race. However, detecting and tracking of jockeys is extremely difficult. This is because in most horse-races there are more than six jockeys and they closely follow each other to gain a leading position, consequently locating jockeys and maintaining their identities through a video sequence is highly challenging due to the frequent occlusion. In addition, the background in horse-race videos is continually changing, thus there is not only background clutter but the jockeys themselves may be obscured by obstacles such as trees, towers and bars. To tackle these challenges, a context-aware analysis system is proposed. The proposed system is developed based on deterministic reasoning which was obtained by observing various horse races. One important property of horse-races is the group dynamic behaviour of jockeys in the race. The jockeys race around a circular track and the camera typically follows the jockeys, thus the jockeys rel-
Characteristics of spherical Ti-6Al-4V powders prepared by RF plasma processing

Spherical Ti-6Al-4V(TC4) powders were prepared with irregular TC4 powders by a radio frequency(RF) plasma.The effect of spheroidization on the powder characteristics and the influence of feeding rate on the spheroidization ratio were studied.The morphology,particle size distribution and characteristics of the spherical powders were analyzed by scanning electron microscopy(SEM),laser micron sizer(LMS) and Hall flowmeter,respectively.The results show that TC4 powders after plasma processing have good sphericity and smooth surfaces,and their spheroidization ratio is almost 100%. The loose density,tap density and powder flowability significantly increases after the process,but the spheroidization ratio gradually decreases with the feeding rate increasing.
TEST ANALYSIS OF DEFORMATION CHARACTERISTICS AND COMPRESSIVE STRENGTHS OF TWO TYPES OF COAL SPECIMENS CONTAINING GAS

A manufacturing process of coal briquette specimen(CBS) and raw coal specimen(RCS) is introduced;and then the method and steps of triaxial test for coal specimens containing gas(CSCG) are designed.By means of triaxial compressive experimental apparatus composed of a self-developed triaxial creep gas-seepage device and a material testing machine,the tests of CSCG are performed on CBS and RCS and a large number of test data under different confining pressures and gas pressure conditions are obtained;and the deformation characteristics and compressive strength of the two kinds of CSCGs are mainly investigated in triaxial stress conditions based on the experimental results.The results show that the confining pressure and gas pressure have a certain extent effect on the deformation characteristics and compressive strength of CSCG.The CBS and RCS have a commonness to some extent in deformation characteristics and compressive strength,but there are distinct differences between the mechanical parameters of the two kinds of coal specimens.The elastic modulus and Poisson′s ratio are not constant but variable during the distorting of CSCG;and the elastic moduli of the two types of CSCGs are very different and their Poisson′s ratios are also not equal actually;the deformation of CBS is much larger than that of RCS under a same loading condition,and in additiont,he shape change of CBS is also larger than that of RCS.The results have a reference valuable for further exploring the mechanical properties of coal containing gas in future.
WhatsApp: An Online Platform for University-Level English Language Education

Technology has developed immensely and its role in the aspects of learning a language has grown bigger and bigger. Among the university level students, WhatsApp at present is getting into the frontline as one of the most widespread online social networking platforms concerning to language learning. The research work undertaken tries to understand if university level students consider WhatsApp as a significant learning platform that can develop and support their language learning skills. Moreover, , the research work focuses on the routine practices or use of WhatsApp by students. The outcome of the survey data reveals that students consider that WhatsApp may be utilized as a teaching cum learning online platform to assist them in the process of language learning. They also highlighted the necessity of imitating language courses associated with WhatsApp, integration of technology through WhatsApp for the access of class materials with a set of objectives and outcomes explicitly focused on learning language to create meaningful experiences for students. Pedagogically, the study concludes by emphasizing the efficacy and prospective role of WhatsApp in improving the capability of students with regard to learning a language at university level.
Pengembangan Model Blood Mobile Collection Routing Problem (BMCRP) pada Proses Pengumpulan Darah

This research develop a model of blood mobile collection using blood donor vehicle efficiently by determining the optimal route of blood collection to the points of blood collection. The model developed in the form of mixed integer nonlinear programming (MINLP) and this model is called Blood Mobile Collection Routing Problem (BMCRP). The purpose of this model is to minimize the total distance of the blood collection routing process in which each place of blood collection has the opening hours and the closing time (time windows) and the service time in each place. This study considers the blood age (spoilage time) for 6 hours to ensure blood quality. The mathematical model is then verified to determine whether the solution is in accordance with the characteristics of BMCRP. Verification is done by solving Blood Mobile Collection Routing small cases. The simulation of solving BMCRP is done by generating eight hypothetical data sets of small cases based on vehicle routing data problems with different characteristics. Verification of BMCRP uses LINGO software. From the simulation results, the BMCRP model can obtain optimal solutions with minimum total distance travelled and does not violate any constraints on BMCRP.
Three-dimensional dynamic simulation of temperature field of TIG welding and infrared temperature measurement

The right description of temperature field for welding process during fast heating and cooling is prerequisite for the analysis of microstructure evolution and stress-strain of welded joint.A finite element model of three-dimensional dynamic thermal distributions of tungsten inert gas(TIG) welding was established.The APDL program was written with the finite element analysis(FEA) software Ansys to simulate the TIG welding for aluminum LF6.The infrared temperature measuring meter SAT-HY6800 measures the welding process.The numerical solution and experimental results show good agreement and effectiveness of the analytic model.
A New feature extraction method to Improve Emotion Detection Using EEG Signals

Since emotion plays an important role in human life, demand and importance of automatic emotion detection have grown with increasing role of human computer interface applications. In this research, the focus is on the emotion detection from the electroencephalogram (EEG) signals. The system derives a mechanism of quantification of basic emotions using. So far, several methods have been reported, which generally use different processing algorithms, evolutionary algorithms, neural networks and classification algorithms. The aim of this paper is to develop a smart method to improve the accuracy of emotion detection by discrete signal processing techniques and applying optimized support vector machine classifier with genetic evolutionary algorithm. The obtained results show that the proposed method provides the accuracy of 93.86% in detection of 4 emotions which is higher than state-of-the-art methods.
IoT‐based wireless body area networks for disaster cases

Wireless networks have many advantages for emergency situations especially disaster cases. A disaster might happen because of various reasons such as earthquakes, hurricanes, floods, and tornadoes. In these emergency situations, wireless communication technologies are very important for the rescue of human life. Wireless technologies, especially body area networks, might monitor, collect, and send data about human in trouble to rescue unit. In this paper, Internet of things‐based wireless body area network is proposed for disaster cases. The proposed architecture guarantees lifesavings by using wireless technologies for location determination, vital signs transmission, and SOS calls. Also, a gateway selection algorithm based on fuzzy logic is developed for selecting more appropriate wireless technology.
Switches Controlling to Implement Adaptive Multilevel Inverter on PV System

A voltage nonuniformity problem across photovoltaic (PV) modules in a multilevel inverter (MLI) can be solved by adaptive multilevel inverter method. This method compose voltage variation of PV modules by controlling switching state to result a good sinusoidal waveform so that low THD can be acquired. The proposed method refer to the sine waveform characteristic i.e. fast arise at the beginning and slower on the subsequent slopes. This paper discusses a concept of the adaptive multilevel inverter method. There are two techniques to be discussed i.e. direct computation and look up table base. Both techniques process voltage measurement quantities to determine switch ON/ OFF angle on each cells. Where algorithm of the switching angles determination will be conducted in the Field Programmable Gate Array (FPGA) controller.
Toward Therapist-in-the-Loop Assistive Robotics for Children with Autism and Specific Language Impairment

In this paper we summarize some of the current work in the field of robot-based therapy for children with autism, and explore new directions that emphasize the important role of the therapist in achieving clinical benefit for these children and children with specific language impairment (SLI). Our ongoing and future research related to robot-based imitation therapy, design of therapist interfaces, and development of therapy robots is described. The overarching assumption in each of these research thrusts is that clinical benefits to children with autism and SLI are best achieved through triadic interactions between the child, the therapist, and the robot facilitator.
A New Feature Selection Method for Sentiment Analysis in Short Text

Abstract In recent internet era, micro-blogging sites produce enormous amount of short textual information, which appears in the form of opinions or sentiments of users. Sentiment analysis is a challenging task in short text, due to use of formal language, misspellings, and shortened forms of words, which leads to high dimensionality and sparsity. In order to deal with these challenges, this paper proposes a novel, simple, and yet effective feature selection method, to select frequently distributed features related to each class. In this paper, the feature selection method is based on class-wise information, to identify the relevant feature related to each class. We evaluate the proposed feature selection method by comparing with existing feature selection methods like chi-square ( χ2), entropy, information gain, and mutual information. The performances are evaluated using classification accuracy obtained from support vector machine, K nearest neighbors, and random forest classifiers on two publically available datasets viz., Stanford Twitter dataset and Ravikiran Janardhana dataset. In order to demonstrate the effectiveness of the proposed feature selection method, we conducted extensive experimentation by selecting different feature sets. The proposed feature selection method outperforms the existing feature selection methods in terms of classification accuracy on the Stanford Twitter dataset. Similarly, the proposed method performs competently equally in terms of classification accuracy compared to other feature selection methods in most of the feature subsets on Ravikiran Janardhana dataset.
Quantum spin Hall state in monolayer 1T′-TMDCs

Although the 1T′ phase is rare in the transition metal dichalcogenides (TMDCs) family, it has attracted rapid growing research interest due to the coexistence of superconductivity, unsaturated magneto-resistance, topological phases etc. Among them, the quantum spin Hall (QSH) state in monolayer 1T′-TMDCs is especially interesting because of its unique van der Waals crystal structure, bringing advantages in the fundamental research and application. For example, the van der Waals two-dimensional (2D) layer is vital in building novel functional vertical heterostructure. The monolayer 1T′-TMDCs has become one of the widely studied QSH insulator. In this review, we review the recent progress in fabrications of monolayer 1T′-TMDCs and evidence that establishes it as QSH insulator.
A Practical and Compatible Cryptographic Solution to ADS-B Security

As the heart of next-generation air transportation systems, the automatic dependent surveillance-broadcast (ADS-B) is becoming a substitute for the radar, because it can enhance flight safety by requiring aircraft to regularly broadcast their precise geographic positions. Despite its promise, the lack of security mechanisms, e.g., not providing data encryption and message authentication, is a significant barrier to realistically deploy this new technology. While many methods have been proposed for ADS-B security, they can deal with either privacy or integrity unilaterally, and also need to change current ADS-B standards. In this paper, we present a new cryptographic solution to ADS-B security by first carefully exploiting some cryptographic primitives, and then adapting them to the air traffic-monitoring scenario. In contrast to previous approaches, our proposed solution is not only of high compatibility with existing protocols of ADS-B, but also lightweight for congested data links and resource-constraint avionics. Furthermore, it can also tolerate package loss and disorder that frequently occur in ADS-B wireless broadcast networks, making the proposed solution easy-to-deploy and practical. Security analysis shows that our proposal simultaneously achieves the confidentiality and authenticity of ADS-B messages. In addition, performance evaluation also demonstrates the efficiency of communication and computation for the proposal by using flight data of OpenSky–a sensor network that covers Central Europe aiming at gathering ADS-B flight data. Finally, the deployment in a real airport environment also proves the effectiveness of our solution.
Euclidean distance digital image processing for jaundice detect

Jaundice is a serious health issue. Late treatment of jaundice cases in babies may result in neurodevelopmental disorder and irreversible brain damage. Diagnosis inaccuracy is usually caused by the fact that health professionals and health service providers often rely on visual observation instead of laboratory examination. Lack of expertise in detecting jaundice is a serious matter. This research proposes a method of web-based digital image processing as an alternative for early detection of jaundice based on babies’ complexion. Images of babies’ complexion and color calibration cards are taken to obtain images for online analysis. Determination of bilirubin levels is carried out using the method of Euclidean approximate distance of RGB values from babies’ complexion and those of color calibration cards. Results show correlation of Euclidean distance to bilirubin level of babies of 0.93596 and web-based digital image processing accuracy of 90%. These mean that the information system developed here is capable of detecting jaundice cases. This research was performed observationally in high-risk prenatal ward involving 30 infants as samples.
Laser Pulse Duration Optimization With Numerical Methods

In this study we explore the optimization of laser pulse duration to obtain the shortest possible pulse. We do this by employing a feedback loop between a pulse shaper and pulse duration measurements. We apply to this problem several iterative algorithms including gradient descent, Bayesian Optimization and genetic algorithms, using a simulation of the actual laser represented via a semi-physical model of the laser based on the process of linear and non-linear phase accumulation.
Numerical Study on Ductile-to-Brittle Transition of Steel and its Behavior under Residual Stresses

The transition of fracture mode from ductile to brittle (DBT) is a crucial phenomenon of structural materials, e.g. body centered cubic (BCC) metals, which are normally brittle at low temperatures or high loading rates, become ductile at high temperatures or low loading rates. The DBT has aroused great concerns in science and engineering in the past years. The prediction of DBT will benefit for the application of materials in arctic engineering, particularly where avoiding the occurrence of catastrophic brittle fracture is one of the major concerns for the material or structures working at the low temperature. To this end, some important aspects pertaining to the DBT will be addressed in the present PhD thesis: (i) revealing the intrinsic mechanisms of DBT and searching a physically-motivated variable to capture the temperature dependent fracture toughness in the transition regime, (ii) exploring a framework for the modelling of DBT by implementing the micromechanical approach with this physically-based variable, (iii) studying the DBT of material or components under an important circumstance, e.g., residual stresses, through applying this framework. The mechanism of DBT can be fundamentally discovered by studying its reverse process, e.g., brittle-to-ductile transition (BDT), in which an intrinsically brittle material fractures in a ductile manner. The BDT is not an intrinsic phenomenon of material, and depends not only on the strain rate but also on the constraint at crack tip. However, few work has been performed on studying the effect of constraint on BDT. A dislocation mobility based continuum model is employed to model the BDT behavior of single-crystal iron under different loading rates. Two scenarios of T-stress implementation in the model have been adopted to study the constraint effect on the BDT. It is found that the change of the stress distribution ahead of crack tip due to the T-stress dictates the fracture toughness in the BDT transition region. Lower constraint leads to a higher fracture toughness in the transition region, a smoother transition curve and a lower critical BDT temperature, and also a higher fracture toughness at the critical BDT temperature. A quantitative relation between fracture toughness and T-stress has been established such that the BDT curve with constraint can be estimated from a reference BDT curve. A solution to build a temperature-dependent effective surface energy law has been proposed, which could facilitate the understanding of the change of the fracture toughness in the transition region. It is still a challenge to numerically achieve the interactive competition between ductile damage and brittle fracture in transition region. In addition, since two types of fracture occur
Polaronic Emergent Phases in Manganite-based Heterostructures

Transition metal functional oxides, e.g., perovskite manganites, with strong electron, spin and lattice correlations, are well-known for different phase transitions and field-induced colossal effects at the phase transition. Recently, the interfaces between dissimilar perovskites were shown to be a promising concept for the search of emerging phases with novel functionalities. We demonstrate that the properties of manganite films are effectively controlled by low dimensional emerging phases at intrinsic and extrinsic interfaces and appeared as a result of symmetry breaking. The examples include correlated Jahn–Teller polarons in the phase-separated (La1−yPry)0.7Ca0. 3MnO3, electron-rich Jahn–Teller-distorted surface or “dead” layer in La0.7Sr0. 3MnO3, electric-field-induced healing of “dead” layer as an origin of resistance switching effect, and high-TC ferromagnetic emerging phase at the SrMnO3/LaMnO3 interface in superlattices. These 2D polaronic phases with short-range electron, spin, and lattice reconstructions could be extremely sensitive to external fields, thus, providing a rational explanation of colossal effects in perovskite manganites.
Development and Prospects of High Strength Pre-stressed Ceramics

: It is a worldwide challenge to simultaneously improve the strength and damage tolerance of ceramics, which is a core issue in the development of ceramics and a goal pursued by materials scientists. While the pre-stressed design has been widely used to improve the strength of concrete and glass for over a century, a little progress has been made for ceramic materials. In this paper, the research progresses of ceramic reinforcement are summarized, and a new pre-stressed design and model of high strength and high damage tolerance composite ceramics are proposed. The novel design focuses on the generation of residual compressive stresses on the surface of ceramic components to inhibit crack initiation and growth and offset the external tensile stress, which can be applied to different fields such as structural ceramics, architectural ceramics, domestic ceramics and so on. This simple and economical technique with no limitation of size and shape in ceramic components has great application prospects.