Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Student Performance: A Predictive Analytics using Imbalanced Data

Big data has revolutionized every field of life, which accumulates human learning as well. The field of education has progressed in past couple of decades, and addition to that, rapid growth in the number of educational institutions has created a tough competition. The massive accumulation of data in the educational sector has created a great scope of EDM (Educational Data Mining) with the support of robust predictive models. It is quite necessary to regularly examine the performance of the students to make them perform better, thus helps to maintain the reputation of the institution. This study proposed a predictive model through which the performance of the student can be forecasted depending upon various characteristics. The KDD(Knowledge Discovery in Databases) methodology was followed stepwise in this study for developing predictive models to predict student performance. The data balancing techniques such as SMOTE (Synthetic Minority Over-sampling Technique) and ADASYN (Adaptive Synthetic Sampling) were employed to handle the unbalanced effect of data which causes bias predictions. Also, for the selection of significant features techniques, FCBF (Fast Correlation Based Feature selection) and RFE (Recursive Feature Elimination) were used. The EDM algorithms Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network (ANN) were utilized for predicting student performance with suitable hyper-parameter tuning using random search to enhance the performance of the model. The results obtained were cross-validated using Ensemble Method and benchmarked with previous studies. The random forest model achieved the highest accuracy of 86% after data balancing and careful selection of significant features.
An adaptive liquid microlens driven by a ferrofluidic transducer

Ferrofluids behave superparamagnetically and can be manipulated by external magnetic fields, providing numerous applications in microfluidic systems. In this paper, an adaptive liquid microlens driven by a ferrofluidic actuator is presented. The microlens consists of a cylindrical well filled with a lens liquid connected to a microchannel containing a ferrofluid plug. When the ferrofluid plug is moved back and forth by an external magnetic field, the lens liquid is displaced, forming a liquid lens with an adaptive focus in the cylindrical well. The focal length of the lens can be changed from infinity to the scale of the radius of the cylindrical well, leading to a high optical power compared to conventional liquid lenses utilizing liquid crystals or electrowetting. The lens curvature is reversibly tunable without hysteresis when the ferrofluid plug moves with a speed below a specific threshold value. The lens can be acted on by a magnetic field of about 100 mT which can be generated by microcoils requiring much lower voltages than the electrowetting principle.
Real-time 3D color display using a holographic optical element

A display system requiring no special glasses is a useful technology for 3D images. The lenticular display system has such defects that it has a non-planar screen and views a blur. In this paper, a newly developed, 3D real-time display with a HOE is described. This simple 3D display can improve above-mentioned problems. And the advantage of the screen HOE is that the number of presented views is much greater that of an equivalent lenticular display, because the screen HOE can multiplex pixels both horizontally and vertically to display lateral views. This screen HOE can be made more easily and smoothly. The trial screen HOE is 4' X 5' and consists of 128,000 holograms. Therefore, the image size measures approximately 4' X 5', and the resolution is 200 X 160 pixels X 4 views.
An Algorithm of Channel Sharing for the Solar Blind NLOS Ultraviolet Ad-Hoc Network Based on the Hybrid Genetic Algorithm

The solar blind NLOS ultraviolet Ad-hoc network communication bases on atmosphere scatter and absorption. An algorithm of channel sharing for the solar blind NLOS ultraviolet Ad-Hoc network is proposed to avoid conflict. The conflict nodes in the network are colorized based on the hybrid genetic algorithm, and then the network has a higher spatial reuse. The Simulation results show the algorithm of high-speed efficiency, thus having a better engineering practicability.
Advances in Dynamic Analysis for Hypercompressor Cylinder Valves

The life of valves is extremely important for the availability of hypercompressors in LDPE plants. Different factors such as high gas temperatures, early wear, the presence of polymers or loud noise, can give an indication of poor valve performance that could shorten their life. 3D computational fluid dynamics (CFD) has been extensively used to obtain an accurate evaluation of pressure losses, drag forces and flow coefficients at various operating conditions. CFD dimensionless flow field coefficients have been fed into 1D valve dynamics model simulations, resulting in a more accurate calculation, able to better predict the poppet position during valve opening and closing. The poppet motion can be correlated to critical performance factors and can be used to estimate valve life. Experimental validation will allow a fine tuning of this modified model for valve performance prediction, which can be used to design optimized valve geometries with improved reliability. © 2008 ASME
Scalable simulation for preliminary design of electrified power trains

The paper presents a full vehicle simulation system utilized for a drive train design process. A parallel hybrid electric power train exemplifies the procedure. The simulation system consists of scalable simulation models reproducing the behaviour of the used components and considering the stationary losses. In this way the configuration of the hybrid electric power train can be variegated by scaling the components. Moreover, an intelligent energy management system is derived and implemented including the power train control strategy. In a final step parameters are defined in the simulation system that enables the global optimization of the power train design. (6 pages)
Design Criteria for Epoxy Repair of Timber Structures

The repair of timber structures requires the same careful engineering design as that of new structures. However, practically no information is available that allows the engineer to compute either allowable or actual stresses for repair alternatives. Based on both theoretical and experimental studies, a methodology for computing both actual and allowable glue line shear stresses is presented here. The actual glue line stress is computed as an average shear stress. The allowable stresses are given as formulas which are functions of the wood species, grain orientation, allowable wood shear stress, and lap length to member thickness ratio. Several epoxy formulations are considered and a method for evaluating other epoxies is presented. Numerical examples are given to illustrate the approach for both predicting the strength and designing a repair scheme. Through the use of the design techniques presented here for epoxy repair of timber, the engineer can rationally decide: (1) Whether the proposed repair will b.
Automated Assessment of Binding Affinity via Alchemical Free Energy Calculations

Free energy calculations have seen increased usage in structure-based drug design. Despite the rising interest, automation of the complex calculations and subsequent analysis of their results are still hampered by the restricted choice of available tools. In this work, an application for automated setup and processing of free energy calculations is presented. Several sanity checks for assessing the reliability of the calculations were implemented, constituting a distinct advantage over existing open-source tools. The underlying workflow is built on top of the software Sire, SOMD, BioSimSpace and OpenMM and uses the AMBER14SB and GAFF2.1 force fields. It was validated on two datasets originally composed by Schrödinger, consisting of 14 protein structures and 220 ligands. Predicted binding affinities were in good agreement with experimental values. For the larger dataset the average correlation coefficient Rp was 0.70 ± 0.05 and average Kendall’s τ was 0.53 ± 0.05 which is broadly comparable to or better than previously reported results using other methods.
Construction of a prototype MOS electrometer

A parametric metal‐oxide‐silicon (MOS) electrometer, which offers the possibility of an electrometer with an input bias current lower, and an input resistance higher than any presently available has been constructed. The design of the electrometer permits the use of thicker silicon dioxide gate insulation than is possible with MOS field‐effect‐transistors (MOSFET) electrometers; thus reducing gate leakage currents. It also has a unique feedback configuration which eliminates any leakage current through the feedback loop. The electrometer is a solid‐state analog of the vibrating‐capacitor electrometer with MOS capacitors replacing the vibrating capacitor. The design and construction of a prototype which demonstrates the feasibility of the MOS electrometer is described.
Teaching Design Engineering: High Innovation or High Adaptation?

Teaching engineering design is fraught with problems, not the least of which is that traditionally, the subject is difficult for both student and professor. We don’t think that it needs to be. We attempt to identify and understand the major problem, that of the very considerable difference in the ability to form abstractions, of the professor and the students. Research shows that this ability is essential to gaining experthood, but that the difference in the abilities of teachers and students to form abstractions hinders teaching. We propose a new project-based teaching paradigm, the “Program Projects” and a new teaching environment to help to ad-
Extending RRT for Robot Motion Planning with SLAM

In this paper,the motion planning problem for mobile robot is addressed. Motion planning (MP) has diversified over the past few decades to include many different approaches such as cell decomposition, road maps, potential fields, and genetic algorithms. Often the goal of motion planning is not just obstacle avoidance but optimization of certain parameters as well. A motion planning algorithms based on Rapidly-exploring random Tree(RRT) is present in the paper. Then the RRT algorithm has been extended which combines the SLAM algorithm.The Extend-RRT-SLAM has been simulated in MobileSim.Simulation results show Extend-RRT-SLAM to be very effective for robot motion planning.
A Performance Surface Method for Characterizing the Nonlinear Air Bearing Forces and Moments With Application to the Unloading Process

An efficient scheme was developed to analyze the dynamics of a magnetic head slider during the unloading process. The nonlinearity of the air bearing forces and moments was described by analytical expressions obtained from a surface fitting procedure. Combined with a dual-scale suspension model, the force and moment functions determined can be used to obtain the instantaneous flying attitude of the slider and the unloading time with a very short computation time, thus providing a way of exploring a large number of parameter values of the suspension stiffness matrix.Copyright © 2008 by ASME
The Research of Speech Emotion Recognition Based on Gaussian Mixture Model

A new recognition method based on Gaussian mixture model for speech emotion recognition is proposed in this paper. To improve the effectiveness of feature extraction and accuracy of emotion recognition, extraction of Mel frequency cepstrum coefficient combined with Gaussian mixture model is used to recognize speech emotion. According to feature parameters extraction method by analyzing the principle of vocalization theory, emotion models based on Gaussian mixture model are generated and the similarity of their templates is obtained. A series of experiments is performed with recorded speech based on Gaussian mixture model and indicates the system gains high performance and better robustness.
Optimal linear time-invariant preview steering control for motorcycles

Prior research into the application of optimal linear preview control theory to the steering of a car by a driver is extended into the domain of the motorcycle. The simple car model employed previously is replaced by a much more elaborate motorcycle model, and the control mode is changed from a fixed control for the car to a free control for the motorcycle. Handlebar torque is always the main control input but, in some cases, the rider's upper body lean torque is also included as a control. The machine speed is considered to be constant. The objective of the optimal control is to minimize a weighted sum of path-tracking errors and control power. The time-invariant control corresponding to an infinite optimization horizon and a white noise disturbance is found for each of several cases, involving variations in machine speed and performance priorities. Results demonstrate the relatively minor role of body lean torque control and the strong relationship between the optimal tracking steering control and the motorcycle oscillatory modes of motion. The extent of rider preview necessary for full control is found for cases involving two controls and only one control. The optimal controls are installed on the machine for which they were derived, and simulation results from tracking tasks are shown. The simulations demand the transformation of the problem from a global description, in which the optimal control is found, to a local description corresponding to the rider's view. It is concluded that a motorcycle rider model representing a useful combination of steering control capability and computational economy has been established. The model yields new insights into the rider and motorcycle behaviour.
Designing computer technologies with older people

There is a growing recognition that gerontechnology must be about more than usability and technical reliability, it is also about addressing and fulfilling wishes and desires; fitting in to people’s lives and according, as far as possible, to their expectations. To create appropriate technologies that will be acceptable and appropriate demands a shift of emphasis from the technology to the people, from analyses of functional decline to more holistic views of ageing as personal and life experience. Most importantly, it demands innovative approaches to gerontechnology: a person-centred approach in which researchers form partnerships with older adults.
MOMS-based Programmable Sampling Rate Converters

In this paper design options when implementing programmable sampling rate converters are discussed. The theory and performance of the classical and new converters based on maximum order and minimum support (MOMS) splines is presented. FPGA designs are shown in term of resources used, latency, and the quality of results. Second-order (or, equivalently, linear or triangular) and sine-based benchmarks are described and evaluated that show the advantages of the new MOMS-based sampling rate converters. The FPGA synthesis results of 7 different converters are presented as proof of concept.
Internationalization to China: A Model for Australian Architectural, Engineering and Construction Firms

The experiences of an architectural, an engineering, and a construction organization, when internationalizing to China, are compared to extant theories of internationalization to develop an enhanced explanation of these organizations’ internationalization. The research examines the explanatory power of both the Uppsala internationalization model and network theory for internationalization. The research determined that, whilst these organizations utilized an incremental internationalization process, the stages differed from those identified in the Uppsala model. Part of this difference reflects the fact that the participants are service organizations and the Uppsala model is more relevant to manufacturing organizations. Network theory was also found to predict some of the participant behaviors; however, it did not correctly predict the reasons for forming partnerships, which was to gain knowledge rather than develop networks. The stages of the internationalization into China identified were: (1) experiencing a motivation to internationalize; (2) adopting one of a variety of entry modes; (3) experiencing a motivation to increase internationalization to the level of a wholly-owned foreign entity; (4) establishment of a wholly-owned foreign entity (WOFE), either by acquisition or development; and (5) further horizontal expansion (such as movement to new locations). A range of different motivations for both stages one and three were identified.
Urinary bladder reconstruction using autologous collagenous connective tissue membrane “Biosheet” induced by in-body tissue architecture

Background: Tissue engineering technology has the potential for bladder reconstruction without complications. We have previously developed autologous collagenous prosthetic tissues using in-body tissue architecture (iBTA). This is a cell-free tissue engineering technology that can produce autologous implantable tissues be a desired shape by simple subcutaneous embedding of a specially designed mold. Grafts formed by iBTA can be made in any shape and form, including sheet-shaped tissues (Biosheet). In this study, we evaluated the efficacy and safety of autologous Biosheet as bladder repair material in a canine bladder defect model. Methods: We studied four healthy adult beagles (1-2 years old, 9.3-9.9 kg). Autologous Biosheets were prepared by embedding specially designed molds into subcutaneous pouches in the beagles. Eight weeks after implantation, the molds were extracted, and collagenous connective tissues surrounding the molds were harvested as autologous Biosheet. The urinary bladder wall was excised (2 cm × 2 cm) and autologous Biosheets were sutured to the cut edge of the native bladder using a simple continuous suture pattern. The efficacy of implantation of the Biosheets was evaluated by physical examination, blood tests, abdominal ultrasound, urinalysis, and urography, at 0, 1, 3, 7, 14, 28, 56, and 84 days after the implantation. The Biosheets were extracted at 28 days (n=1) and 84 days (n=3) after implantation. Results: No side-effects were observed during follow-up. No disruption of the sheet or any urinary leakage into the peritoneal cavity was observed. Histological analysis revealed α-SMA-positive muscle fibers at the margin of the Biosheets, indicating regeneration of the urinary bladder tissue. Conclusion: This is the first report evaluating the efficacy and safety of iBTA-induced autologous “Biosheets” as a bladder repair material in a canine model. In summary, autologous Biosheets could be useful biomaterials for urological reconstruction.
Experimental investigation of a PtSi source and drain field emission transistor

A p‐type PtSi source and drain, no ‘‘gap,’’ metal oxide semiconductor field effect transistor (MOSFET) has been successfully fabricated and experimentally investigated in detail down to 4.2 K. Gate curves (source current versus gate voltage) clearly show that, in the ‘‘on’’ state, the current flow mechanism from the source metal into the channel gradually changes from primarily thermal emission over the small ∼0.2 eV Schottky barrier to holes to completely field emission through the triangular Schottky barrier as the temperature is lowered below ∼100 K. Gate curves for different channel lengths also show minimal short channel effects down to 1.0 μm, in agreement with previous simulations. Drain curves (source current versus drain voltage) demonstrate that the drive current is comparable to that of a conventional MOSFET, and that the Schottky barrier is rendered transparent to the flow of holes when the device is strongly ‘‘on. ’’
A new data extrapolation algorithm with application in guidance and target recognition

A new data extrapolation algorithm is presented for guidance and target recognition application. The algorithm firstly uses DFT or FFT computation of L points data of response over band (f/sub o/,f/sub o/+/spl Delta/F) to obtain the rough outline of target range profile. Then a CFAR detector is used to obtain the structure window function X/sub w/(e/sup j/spl omega) and its IFT series X/sub w/(l) and several filtering functions {H/sub j/(z)} are constructed. Finally, the extrapolation process by using the filtered series {y/sub j/(l)} based on X/sub w/(e/sup j/spl omega) restriction is established. The algorithm has the advantage of robustness under clutter background. <<ETX>>
SRL-DP-NE: An Opinion Mining Method Based on Web News Comments

There is much news online every day and people would like to read online news and give their comments on some news, which reflect their views and opinions about the people and matters involved in the event reported in the news. Opinions mining on these comments is of great significance for the construction of the government's democratic politics, public opinion monitoring and decision support, etc. In this paper we analyze user opinion from four aspects: characteristic, emotional word, emotional word qualifier, emotional tendency. We propose a SRL-DP-NE algorithm to extract the characteristic-emotional word pairs. Finally, we implement the system of opinion mining on web news comments, and got the overall polarity analysis.
Dimorphic magnetorheological fluids: exploiting partial substitution of microspheres by nanowires

Magnetorheological (MR) fluids typically are suspensions of spherical micron-sized ferromagnetic particles suspended in a fluid medium. They are usually thought of as Bingham-plastic fluids characterized by an apparent yield stress and viscosity. Partial substitution of the micron-sized iron particles with rod-shaped nanowires constitutes a dimorphic MR fluid. In this study, we investigate the influence that nanowires have on the magnetorheological and sedimentation properties of MR fluids. A variety of conventional and dimorphic MR fluid samples were considered for this study with iron loading ranging from 50 to 80 wt%. The nanowires used in this study have mean diameters of 230 nm and a length distribution of 7.6 ± 5.1 µm, while the spherical particles have a mean diameter of 8 ± 2 µm. Flow curves were measured using a parallel disk rheometer and a sedimentation measuring instrument was constructed for quantifying sedimentation velocity. The Bingham yield strength and sedimentation velocity of the dimorphic MR fluids are then compared to those of conventional MR fluids incorporating spherical particles.
Minimization of Heat Sink Mass Using CFD and Mathematical Optimization

This paper describes the use of CFD and mathematical optimization to minimise heat sink mass given a maximum allowable heat sink temperature, a constant cooling fan power and heat source. Heat sink designers have to consider a number of conflicting parameters. Heat transfer is influenced by, amongst others, heat sink properties (such as surface area), airflow bypass and the location of heat sources, whilst size and/or mass of the heat sink needs to be minimized. This multiparameter problem lends itself naturally to optimization techniques. In this study a commercial CFD code, STAR-CD, is linked to the DYNAMIC-Q method of Snyman. Five design variables are considered for three heat source cases. Optimal designs are obtained within six design iterations. The paper illustrates how mathematical optimization can be used to design compact heat sinks for different types of electronic enclosures.
Handover algorithm and mobility support for wireless ATM networks

Wireless ATM (WATM) will be used to support broadband multimedia services. To achieve this, the existing ATM protocol must be augmented with mobility function. Handover is one of important function of mobility management in the WATM system. This paper describes a handover mechanism for intra-switch handovers in the wireless ATM. On the other hand, this paper present a simple signaling and control architecture for mobility support in a wireless ATM network that provides integrated multimedia services to mobile terminals.