Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite element and integral equation formulations for high -performance micromagnetic and electromagnetic solvers

The ability to have a good understanding of and to manipulate electromagnetic fields has been increasingly important for many hardware technologies. There is a strong need for advanced numeric algorithms that yield fast and accuracy-controllable solvers for electromagnetic and micromagnetic simulations. The first part of the dissertation presents methods constituting the core of the high-performance simulator FastMag. FastMag derives its high speed from three aspects. First, it leverages the state-of-the-art graphics processing unit computational architectures, which can be hundreds of times faster than a single central processing unit. Moreover, efficient and accurate implementations of numeric quadrature was invoked. Thirdly, we provide an analytic method for Jacobian-vector products. Some advanced features are provided in FastMag. Quadratic basis functions are used to provide better accuracy. Hexahedral elements were also implemented because they are more accurate, consume less memory. The second part of the dissertation is devoted to electromagnetic scattering problems. We developed new algorithms that significantly improved the traditional methods. First of all, potential volume integral equations were implemented, where the potential quantities (vector and scalar potential). Another important contribution of this dissertation is quadrilateral barycentric basis functions (QBBFs). The QBBFs can serve as a fundamental block for primary basis functions (PBFs) and dual basis functions (DBFs). The PBFs and DBFs, when applied in combination into traditional electric and magnetic field integral equations (EFIE and MFIE), give rise to accurate and robust results. Moreover, the DBFs make the famous Calderon preconditioner multiplicative
Particle swarm optimization for two-echelon location-routing problem

In order to solve two-echelon location-routing problem of distribution network,particle swarm optimization with path relinking integrated into particle update process was proposed.Three path relinking search modules with regarding transfer station,path and edge as the object were put forward according to the attributes of the solution of two-echelon locationrouting problem.At the same time,on the basis of the different combinations of these search modules,four kinds of path relinking strategy were put forward.The test results on different scale examples show that the particle swarm optimization can solve two-echelon location-routing problem effectively,the first path relinking strategy has higher efficiency.The second one has higher stability,the third one has no obvious performance in every aspect,and the fourth one has higher quality solution.
Simulacija in razvoj vgrajene programske opreme na osebnem računalniku

Za uspesno in pravocasno opravljeno delo sta potrebni dve stvari: znanje in kakovostna orodja. Pri razvoju vgrajene programske opreme se razvijalci pogosto soocajo s pomanjkljivimi orodji. Pomanjkljivost je toliko bolj ocitna pri primerjavi razvoja programske opreme na vgrajenih sistemih na eni strani in na osebnem racunalniku na drugi strani. Magistrsko delo obravnava razvoj programske opreme za vgrajene sisteme s pomocjo modernih orodij, ki so na voljo za razvoj programske opreme na osebnem racunalniku. Konkretno prikazuje transformacijo izvorne kode, pisane za Metrelove merilne instrumente, v izvorno kodo, ki se lahko izvaja ali simulira na osebnem racunalniku v okolju Microsoft Windows. Razloži uporabljene metode in opozarja, na kaj je treba biti previden pri pisanju kode, ki se izvaja na dveh razlicnih arhitekturah. Rezultat magistrskega dela je programska knjižnica, namenjena simuliranju okolja vgrajenih sistemov. Omogoca razvoj programske opreme za mikrokrmilnike z arhitekturo ARM Cortex-M4 in ARM7TDMI-S na osebnem racunalniku z najnovejsimi prevajalniki, razhroscevalniki in integriranimi programskimi razvojnimi okolji, ki so na voljo na trgu. Vecina razvoja in testiranja se lahko opravi brez ciljne strojne opreme. Razvijalec lahko kadarkoli preveri obnasanje aplikacije na ciljnem sistemu enostavno tako, da jo prevede s ciljnim prevajalnikom in jo naloži na ciljni sistem.
Inclusive quarkonium production at forward rapidity in pp collisions at √ s = 8TeV

We report on the inclusive production cross sections of J/ψ , ψ(2S), Υ(1S), Υ(2S) and Υ(3S), measured at forward rapidity with the ALICE detector in pp collisions at a center-of-mass energy √ s = 8 TeV. The analysis is based on data collected at the LHC and corresponds to an integrated luminosity of 1.23 pb−1. Quarkonia are reconstructed in the dimuon-decay channel. The differential production cross sections are measured as a function of the transverse momentum pT and rapidity y, over the pT ranges 0 < pT < 20 GeV/c for J/ψ , 0 < pT < 12 GeV/c for all other resonances, and for 2.5 < y < 4. The cross sections, integrated over pT and y, and assuming unpolarized quarkonia, are σJ/ψ = 8.98 ± 0.04 ± 0.82 μb, σψ(2S) = 1.23 ± 0.08 ± 0.22 μb, σΥ(1S) = 71 ± 6 ± 7 nb, σΥ(2S) = 26 ± 5 ± 4 nb and σΥ(3S) = 9 ± 4 ± 1 nb, where the first uncertainty is statistical and the second one is systematic. These values agree, within at most 1. 4σ , with measurements performed by the LHCb collaboration in the same rapidity range.
A Cable Length Invariant Robotic Tail Using a Circular Shape Universal Joint Mechanism

This paper presents the development of a new robotic tail based on a novel cable-driven universal joint mechanism. The novel joint mechanism is synthesized by geometric reasoning to achieve the desired cable length invariance property, wherein the mechanism maintains a constant length for the driving cables under universal rotation. This feature is preferable because it allows for the bidirectional pulling of the cables which reduces the requisite number of actuators. After obtaining this new joint mechanism, a serpentine robotic tail with fewer actuators, simpler controls, and a more robust structure is designed and integrated. The new tail includes two independent macro segments (2 degrees of freedom each) to generate more complex shapes (4 degrees of freedom total), which helps with improving the dexterity and versatility of the robot. In addition, the pitch bending and yaw bending of the tail are decoupled due to the perpendicular joint axes. The kinematic modeling, dynamic modeling, and workspace analysis are then explained for the new robotic tail. Three experiments focusing on statics, dynamics, and dexterity are conducted to validate the mechanism and evaluate the new robotic tail's performance.
DSP Techniques for Sound Enhancement of Old Recordings

This chapter addresses digital signal processing techniques for sound restoration and enhancement. The most common sound degradations found in audio recordings, such as thumps, pops, clicks, and hiss are characterized. Moreover, the most popular solutions for sound restoration are described, with emphasis on their practical applicability. Finally, critical views on the performance of currently available restoration algorithms are provided, along with discussions on new tendencies observed in the field. IGI PUBLISHING This paper appears in the publication, Advances in Audio and Speech Signal Processing: Technologies and Applications edited by H. Perez-Meana © 2007, IGI Global 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.igi-pub.com ITB14183
Opinion Analysis For Online Reviews

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
GENERATING UML CLASS DIAGRAM FROM SOURCE CODES USING

The traditional Software Development Life Cycle (SDLC) often includes four phases: analysis, design, implementation, and testing. Reverse engineering is the process of moving back those phases by analyzing the software system and then representing it at the higher levels of abstractions. The reverse engineering software process generates high level information from the implementation phase. This information includes generating several diagrams and specification documents that describe the implemented software. The UML class diagram represent a valuable source of information even after the delivery of the software. Class diagram extraction can be done either from software’s source code, or from the executable file. In the case of source code, a review of the current tools shows that many researchers have been extracting the UML class diagram from an object-oriented source code based on the sequential processing approach. In this research, a proposed approach for extracting a class diagram from the source code is presented. The proposed approach relies on multi-threading technique in the class diagram extraction which is representing the parallel processing. The motivation behind using multi-threading technique is that, it gives an advantage of faster processing to any software because the threads of the program naturally lend themselves to truly concurrent execution. In this research, a class diagram extraction using multithreading technique is designed and implemented using the C# programming language. The implemented approach is tested on three case studies that contain several types of entities and relationships between them. Testing results show that the time needed to extract class diagram using multi-threading technique for the tested three cases is less than the time needed in extracting the same class diagram without using multi-threading technique.
On The Integrality of Somos 4 Sequences

Bu calismada, eger ( h n ), bir eliptik egri ile eslesen bir Somos 4 dizisi ise her bir h n teriminin R = Z [ a 1 , a 2 , a 3 , a 4 , x , y , h –1 ± 1 , h 0 ] halkasinin bir elemani olarak ifade edilebilecegi gosterilmistir. Ozel olarak n ≥ 0 icin h –1 = ± 1 ise Somos 4 dizisinin terimleri birer tamsayidir. Ustelik bir ikili indirgeme bagintisini gercekleyen Somos 4 dizisinin genel terimi verilmistir.
Percolation parameter and percolation-threshold estimates for 3D random ellipses with widely-scattered distributions of eccentricity and size

In fractured materials of very low matrix permeability, fracture connectivity is the first-order determinant of the occurrence of flow. For systems having a narrow distribution of object sizes (short-range percolation), a first-order percolation criterion is given by the total excluded volume that is almost constant at threshold. In the case of fractured media, recent observations have demonstrated that the fracture-length distribution is extremely large. Because of this widely-scattered fracture-length distribution, the classical expression of the total excluded volume is no longer scale invariant at the percolation threshold and has no finite limit for infinitely large systems. Thus, the classical estimation method of the percolation threshold established in short-range percolation becomes useless for the connectivity determination of fractured media. In this study, we derive a new expression of the total excluded volume that remains scale invariant at the percolation threshold and that can thus be used as the proper control parameter, called parameter of percolation in percolation theory. We show that the scale-invariant expression of the total excluded volume is the geometrical union normalized by the system volume rather than the summation of the mutual excluded volumes normalized by the system volume.
A Data Science Framework for Movement

Author(s): Dodge, S | Abstract: © 2019 The Ohio State University Movement is the driving force behind the form and function of many ecological and human systems. Identification and analysis of movement patterns that may relate to the behavior of individuals and their interactions is a fundamental first step in understanding these systems. With advances in IoT and the ubiquity of smart connected sensors to collect movement and contextual data, we now have access to a wealth of geo-enriched high-resolution tracking data. These data promise new forms of knowledge and insight into movement of humans, animals, and goods, and hence can increase our understanding of complex spatiotemporal processes such as disease outbreak, urban mobility, migration, and human-species interaction. To take advantage of the evolution in our data, we need a revolution in how we visualize, model, and analyze movement as a multidimensional process that involves space, time, and context. This paper introduces a data science paradigm with the aim of advancing research on movement.
Peak-to-average power ratio reduction in wavelet packet modulation Using Binary Phase Sequence.

A novel method of Peak–to-Average–Power-Ratio reduction is presented in this paper using WPT for multi carrier modulationand Riemann matrix for phase sequencing in SLM. Wavelet Packet Multicarrier Modulation(WPM) is a betteralternative to the existing multicarrier transmission system,OFDM system which suffers from high PAPR.Further reduction in Peak to Average Power Ratio (PAPR)is achieved by using Wavelet Packet Modulation(WPM) with SLM technique. Classical SLM uses random phases for phase rotations which suffers from the additional load of transmitting SI(side Information) to receiver. So to overcome a novel method is proposed here which uses the principle of varying the phases of the subcarrier data block to be transmitted ,using rows of the normalised Reimann matrix as phase sequence vectors for the Selected Mapping (SLM)Technique. The generated WPM frame with minimum PAPR is selected and transmitted . The proposed system achieves a significant improvement in PAPR reduction over the OFDM-classical SLM and WPM-classical SLM.
Coupled-Resonator Theory of Isolation in Multi-Mode Antennas

The literature currently maintains the assumption that mutual coupling is the mechanism that leads to the degradation of isolation between the active ports of antenna arrays. However, this paper shows that a coupled-resonator model with series-coupled mutual coupling breaks down when applied to multi-mode/multi-port antenna arrays and limits the achievable isolation. An improved model based on parallel-coupled modes is presented. This model suggests that poor isolation is more accurately caused by unbalanced antenna modes. Using this model, several novel examples of simple and compact dual- and triple-mode antennas show how to maximize isolation in multi-mode antennas by balancing the modes’ resonant frequencies and radiation bandwidths. For comparison, the mutually coupled assumption limits isolation to around 20 dB in the proposed novel structures, whereas 40–70 dB is possible when parallel-coupled modes are considered. Based on the developed concept, a compact triple-mode two-pole-filtering antenna is fabricated at 3500 MHz with 160 MHz of bandwidth and more than 40 dB of isolation between the antenna ports.
Teaching Report Writing Skills through Communicative Activities

Designing communicative activities for teaching any specific skills has been used for the last few decades effectively worldwide. In teaching Report Writing Skills its use is somewhat new as the subject itself has not been taught separately before as a complete course in many universities of Pakistan and internationally as well. It happened only with the passage of time that it has been introduced as a separate course due to the need of learning of specific skills and time required in writing, developing and presenting reports by business students or in some cases students of other professional disciplines such as engineering.This workshop will suggest methodologies and techniques that cater the needs and interests of the teachers teaching a technical subject like Report Writing Skills. It will also emphasize the kind of problems students face while learning report writing a form of technical writing. They are affected by the basic handicaps/mistakes developed since childhood in learning of English language. It is obvious and natural to cause them to make similar mistakes even at higher level of education when they are studying technical subjects like report writing skills. The grammatical errors, the style of writing is erroneous due to no exposure and experience of writing reports or technical documents previously. Moreover, the focus of this workshop will be to teach Report Writing Skills using non expensive Communicative Activities to enhance writing skills of the students in writing professional reports.
Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data

Potato late blight, which is caused by Phytophthorainfestans (Mont.) de Bary, is a worldwide devastating disease for potato. It decreased yields of potato and caused unpredictable losses all over the world. Various simple statistical methods and forecasting models have been developed to predict and manage potato late blight. Meanwhile, there is a rising need to develop prediction models reflecting peroxidase (POD) activity, which is an important health index that varies with infection and correlated with stress resistance in plants. Thus, the aim of this research was to develop kinetic models to predict POD activity. Infection-induced changes in potato leaves stored in an artificial climate chest at 25°C were analyzed using hyperspectroscopy. Four prediction models were developed by using linear partial least squares (PLS) and nonlinear support vector machine (SVM) methods based on the full spectrum and effective wavelengths. The effective wavelengths were selected by the successive projection algorithm (SPA). In this study, the prediction model developed by means of SPA-SVM method obtained the best performance, with a Rp (correlation coefficient of prediction) value of 0.923 and a RMSEp (root mean square error of prediction) value of 24.326. Five-order kinetics models according to the prediction model were developed, and late blight disease can be predicted using this model. This study provided a theoretical basis for the prediction of latencies of late blight. Keywords: POD (peroxidase) activity, kinetic model, potato leaves, late blight, hyperspectral data, latency prediction DOI: 10.25165/j.ijabe. 20191202.4574 Citation: Li Q Y, Hu Y H. Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data. Int J Agric & Biol Eng, 2019; 12(2): 160–165.
Analyzing the Practice of Blended Learning Based on Moodle Using the Method of Action Research

The practice of carrying out Blended Learning based on Moodle were probed using the method of action research.There were three teaching organized activities such as face to face teaching in classroom based on Moodle、cooperative leaning in a group by mission-driven based on Moodle and multi-dimensional teaching appraisal based on Moodle.The results of the practice indicate that Moodle can carry out Blended Learning effectively,and can gain preferable teaching effect.
A New Method to Diagnose Cyclone–Cyclone Interaction and Its Influences on Precipitation

Unlike the classical point vortex model, a new method is developed to extract flows induced not only by vorticity but also by divergence in a well-defined vortex core area of a cyclone. This new method is applied to diagnosing the interactions of three midlatitude cyclones (called A, B, and C) that account for a missed summer severe rainfall forecast, in which the daily precipitation predicted by the Canadian operational model is an order of magnitude smaller than the rain gauge and radar measurements. In this event, cyclone B, responsible for the severe rainfall occurrence, was advected largely by flows induced by two neighboring cyclones: A and C to the west and east, respectively. This work attempts to assess whether and to what degree the vertical tilt of the observed cyclone versus that of the forecast cyclone B is caused by advections of the environmental flows (including A- and C-induced flows) at 500 and 1000 hPa. Results show that the observed cyclone B was advected mainly by the cyclone A–induced flow at 500 hPa into a vertically tilted structure that was northwestward against the vertical shear of the environmental flow and thus favorable for upward motion and cyclone intensification around the time of severe rainfall. However, the forecast cyclone B was advected largely by the cyclone A–induced flow at 500 hPa and the cyclone C–induced flow at 1000 hPa into an increasingly northward-tilted structure that was along the vertical shear of the environmental flow and thus unfavorable for upward motion and cyclone intensification, leading to the missed forecast of severe rainfall. Suggestions are made for future improvements of model forecasts.
Preliminares de la adaptación del algoritmo PA-VNE para la reasignación de redes virtuales mapeadas y la selección entre diferentes tipos de métricas

The current architecture of the internet does not allow the introduction of innovations, due to, among other reasons, competition between service providers. Network virtualization has been proposed as a possible solution to this problem. For the implementation of this technology, an algorithm that can locate the virtual networks on the physical network resources in an optimal way, according to the metrics to consider, is required. This article presents preliminary research advances about the optimization of the algorithm PA-VNE, and its implementation through a software defined network.
TailoredRE: A Personalized Cloud-based Traffic Redundancy Elimination for Smartphones

The exceptional rise in usages of mobile devices such as smartphones and tablets has contributed to a massive increase in wireless network traffic both Cellular (3G/4G/LTE) and WiFi. The unprecedented growth in wireless network traffic not only strain the battery of the mobile devices but also bogs down the last-hop wireless access links. Interestingly, a significant part of this data traffic exhibits high level of redundancy in them due to repeated access of popular contents in the web. Hence, a good amount of research both in academia and in industries has studied, analyzed and designed diverse systems that attempt to eliminate redundancy in the network traffic. Several of the existing Traffic Redundancy Elimination (TRE) solutions either does not improve last-hop wireless access links or involves inefficient use of compute resources from resource-constrained mobile devices. In this research, we propose TailoredRE, a personalized cloud-based traffic redundancy elimination system. The main objective of TailoredRE is to tailor TRE mechanism such that TRE is performed against selected applications rather than application agnostically, thus improving efficiency by avoiding caching of unnecessary data chunks. In our system, we leverage the rich resources of the cloud to conduct TRE by offloading most of the operational cost from the smartphones or mobile devices to its clones (proxies) available in the cloud. We cluster the multiple individual user clones in the cloud based on the factors of connectedness among users such as usage of similar applications, common interests in specific web contents etc., to improve the efficiency of caching in the cloud. This thesis encompasses motivation, system design along with detailed analysis of the results obtained through simulation and real implementation of TailoredRE system.