Miracle-dz/UniFAR-FTUs huggingface dataset:
IfcXMLExplorer : a visualization tool for exploring and understanding ifcXML data

XML is a markup language popularly used for data exchange across different applications. Its flexibility and simplicity has made it easy to use. However, this flexibility makes it difficult for large XML files to be easily comprehensible. Most XML files have complex schemas and these schemas differ across domains. In this work, we have taken a specific type of XML files ifcXML. IfcXML files are domain specific XML files generated from building information models (BIM). The organization of ifcXML files is hard to follow; elements in the ifcXML file are identified through unique identifiers, which are used to connect one element to another. This results in long chains of connections. Currently there is no effective method of extracting and understanding these connections. The only way a user can see how one element is connected to another is by following the path of connections through the ifcXML file. We address this gap by introducing ifcXMLExplorer. IfcXMLExplorer is a visualization tool that enables users to better understand the different systems in a BIM model along with the connections within elements of the system by extracting necessary information from the ifcXML file.
Field testing of underwater acoustic communication using Doppler-resilient orthogonal signal division multiplexing in coastal area of Suruga Bay

Mobile underwater acoustic (UWA) communication is still challenging, since the mobile UWA channel is characterized by severe delay and Doppler spreads. In this paper, we describe a field test of Doppler-resilient orthogonal signal division multiplexing (D-OSDM)—a signal modulation technique designed to address delay and Doppler spreads efficiently. The experiment was performed in a coastal area of Suruga Bay, which has typical shallow-water sound speed profiles with delay and Doppler spreads of 5–25 ms and 1–8 Hz, respectively. The results indicated that UWA communication using D-OSDM is an effective communication tool that can provide reliable data transfer even in a mobile UWA channel with delay and Doppler spreads.
Virtual Interactive Hand Gestures Recognition System in Real Time Environment

Normal human Beings can communicate with each other with the help of various different languages, however, the people who can’t speak have different sign languages to communicate with others. But a major setback of sign language is that only people those who know sign language can communicate with them. Individuals habitually use gestures to interconnect. Gestures are used for directing to an individual, to get his devotion and convey statistics about temporal and spatial physiognomies. Gesticulating does not only elaborate verbal language, but it is part of the language production practice. In our paper we recommend a scheme which will be able to convert the sign language into words or sentences. The system takes inputs several hand gestures then processes its meaning and verifies it with the stored gestures in database and results the corresponding output on the screen.
Understanding the make-or-buy decision in R&D:influences on the make-or-buy decision in the context of R&D, applied to the R&D center of Bosch Sprang

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
Footstep localization based on in-home microphone-array signals

This paper describes a system able to detect footstep locations. Through acoustic information retrieved from a wireless sensor network with small and relatively cheap microphone arrays. A dataset was recorded in order to validate the accuracy of the detection. Results on this dataset show that a best median of errors of 31cm per time moment are achievable, but results heavily depend on the positions of the microphones relative to the footsteps.
Direct Vector Control of Induction Motor Based on Sinusoidal PWM Inverter with Fuzzy Logic Controller

This paper presents the speed control scheme of direct vector control of Induction Motor drive (IM drive). The Fuzzy logic controller is (FLC) used as the controller part here for the direct vector control of Induction Motor using Sinusoidal PWM Inverter (SPWM). Fuzzy logic controller has become a very popular controlling scheme in the field of Industrial application. The entire module of this IM is divided into several parts such as IM body module, Inverter module, coordinate transformation module and Sinusoidal pulse width modulation (SPWM) production module and so on. With the help of this module we can analyze a variety of different simulation waveforms, which provide an effective means for the analysis and design of the IM control system using FLC technique.
Personalized Web Content Extractor for Privacy Protection

Personalized web search (PWS) used for improving the quality of various search services on the Internet. Users might (force) experience failure when search engines return irrelevant (unrelated) results that do not meet (convene) the real intentions. This irrelevance is largely due to the enormous variety of user contexts and backgrounds, as well as the ambiguious texts. However, research studies show that user's private information during search has become known to publicly due to proliferation of PWS. We propose a PWS framework called WCEP that can adaptively generalize profiles by queries without violating user specified privacy requirements. We present two greedy algorithms, namely GreedyDP( Greedy discriminating power) and GreedyIL (Greedy information loss), for runtime generalization.
Impact of a REBCO coated conductor stabilization layer on the fault current limiting functionality

Reliability is one of the crucial requirements of conductors used in resistive superconducting fault current limiters. Possible critical current degradation of a REBCO coated conductor during the limiter operation restrains broader application of devices based on these conductors. In this article the impact of an electrical stabilization layer on the conductor protection against overheating as well as its effect on electrical current evolution during the limitation period are investigated. For the experimental part of the study, a commercial copper stabilized REBCO coated conductor and a modified conductor without copper stabilization are compared. Extensive experimental work complemented by electro-thermal numerical modeling paved the way for studying the electrical and thermal effects separately. The numerical model assuming adiabatic conditions is sufficient to reproduce experimental results and predict the peak temperature for conductors with various stabilization layers in realistic conditions. Reduction of the conductor critical current caused by multiple current limitation pulses was studied using pulses with various durations. It was observed that the degradation due to temperature rise is gradual with the rate depending solely on the peak temperature. It is this quantity through which other parameters like the pulse duration, the thickness of stabilization and the peak current cause the tape damaging.
Optical gain and loss in nanophotonics

The topic of gain/loss and dispersion is fundamental to the construction of various nanophotonic devices. Through a unique branch of physics called Parity Time Symmetry (PTS), the interplay between gain and loss opens many opportunities to make gain/loss and dispersion necessary parts of the operation of PTS optical devices. The spatial refractive index profile of an optical PTS system, n(x,y,z) requires Ÿ{n(x,y,z)} to be spatially symmetric and ⁄{n(x,y,z)} to be spatially antisymmetric. Such a system exhibits exceptional point behaviours which give rise to unusual physical phenomena including non-reciprocal propagation of light—the operational principle of optical diodes. Most solid state devices investigated in this thesis are based on GaAs to supply gain. To apply the concept of PTS to practical optical platforms where high loss/gain exists, it is essential to understand the mechanism behind the high gain in GaAs and associated gain-induced dispersion. To assess the feasibility of generating high gain and the extent of dispersion e ects in nanooptics, we demonstrate experimentally a practical GaAs plasmonic laser based on the hybrid gap plasmon waveguide. The analysis of the modal gain and losses in these nanolasers suggests that even though lasing actions can be obtained in this high loss environment, the severe e ects of dispersion pose potential issues in practical PTS systems. In PTS coupled waveguides, the detrimental influence of gain-induced dispersion is counteracted by working with non-identical waveguides and bias pumping of the optical waveguides. The coupled mode theory provides the necessary formulation for an in-depth analysis of such a highly dispersive system. The useful application of dispersion in optical PTS is investigated in a Silicon-based active PTS grating. The results of these works improve our understanding of the gain/loss and dispersion mechanism in PTS optical devices and lay the foundation for an e cient design of PTS optical diodes.
W-BAND SINGLE-POLE FOUR-THROW SWITCH FOR MULTICHANNEL HIGH POWER TRANSCEIVER CHIPSET DESIGN

In this paper, a W-band single-pole four-throw (SP4T) switch for multichannel high power transceiver chipset design is proposed based on a standard commercial 100 nm GaAs power pseudomorphic high electron mobility transistor (pHEMT) technology. Process used in this work is optimized for use in power amplifier (PA) design, resulting in a larger drain electrode capacitance. In order to reduce the effect of large drain capacitance for switch design, a proper series capacitor is introduced. This capacitor can not only reduce the overall capacitance of the turn-off state transistor but also resonate with the parasitic inductance of the turn-on state transistor to improve the isolation. As known, a short stub is adopted to compensate the remaining parasitic capacitance. For verification, a prototype is fabricated and measured. The measured results are in good agreement with the simulated ones. The fabricated SP4T switch achieves a bandwidth of 75 GHz–96 GHz, with an insertion loss and isolation about 4.8 dB and 28 dB, respectively. The fabricated switch also realizes a Pin1 dB about 22 dBm.
A mixed-effects least square support vector regression model for three-level count data

ABSTRACT Hierarchical study design often occurs in many areas such as epidemiology, psychology, sociology, public health, engineering, and agriculture. This imposes correlation in data structure that needs to be account for in modelling process. In this study, a three-level mixed-effects least squares support vector regression (MLS-SVR) model is proposed to extend the standard least squares support vector regression (LS-SVR) model for handling cluster correlated data. The MLS-SVR model incorporates multiple random effects which allow handling unequal number of observations for each case at non-fixed time points (a very unbalanced situation) and correlation between subjects simultaneously. The methodology consists of a regression modelling step that is performed straightforwardly by solving a linear system. The proposed model is illustrated through numerical studies on simulated data sets and a real data example on human Brucellosis frequency. The generalization performance of the proposed MLS-SVR is evaluated by comparing to ordinary LS-SVR and some other parametric models.
Analysis of Hybrid Diversity Combining Technique over TWDP Fading Channel

Background/Objectives: Tremendous growth in the mobile communication services in this technology driven era has made possible for the people to exchange information (data, voice or image) with each other while they are on the move. These wireless systems have brought a revolution in the current market for their high data rates and performance enhanced features. Methods/Statistical Analysis: One of the key issues affecting the performance of a wireless channel is the random variations in the signal strength which may be resulted due to some obstructions like buildings, trees, etc. or due to the movement of the mobile user. This leads to stochastic behavior of the radio channel. A highly faded Two-Wave with Diffuse Power (TWDP) environment is discussed along with hybrid diversity combining technique. The effectiveness of this scheme is further evaluated by analyzing the system performance in terms of Bit Error Rate (BER) vs Signal to Noise Ratio (SNR). Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift Keying (QPSK) modulation techniques were employed. Findings: It has been shown clearly that TWDP forms the poorer link when compared with other fading channels as BER is higher in this case. Moreover, TWDP fading environment can serve as the worst case scenario in wireless communication system. Also it has been shown as the diversity order increases system’s performance is improved in terms of BER and reduction in SNR requirement to achieve a constant BER value. Application/Improvement: This paper presents the need to obtain a clear perception of channel characteristics and to model a system for combating fading and improving the system performance by considering a TWDP fading channel instead of Rayleigh channel while designing a wireless communication system in worst channel conditions.
Empirical Convergence Rate of a Markov Transition Matrix

The convergence rate of a Markov transition matrix is governed by the second largest eigenvalue, where the first largest eigenvalue is unity, under general regularity conditions. Garren and Smith (2000) constructed confidence intervals on this second largest eigenvalue, based on asymptotic normality theory, and performed simulations, which were somewhat limited in scope due to the reduced computing power of that time period. Herein we focus on simulating coverage intervals, using the advanced computing power of our current time period. Thus, we compare our simulated coverage intervals to the theoretical confidence intervals from Garren and Smith (2000).
Expression-based Grouping in Multiple Identity Tracking

The multiple-object tracking (MOT) task, proposed by Pylyshyn and Storm (1988), requires participants to simultaneously track the positions of several visual objects as they move among identical distractors. Yantis (1992) found that participants used perceptual grouping strategy when tracking multiple moving objects, indicating that moving objects with different identities could facilitate using of grouping strategy to help tracking. In this present study, we used facial expressions of emotions as object identities to investigate grouping strategies during multiple-identity tracking (MIT). With facial expressions of emotion playing an important role two experiments: (1) grouping improved tracking performance significantly, compared with homogenous condition; (2) targets with negative expression improved tracking performance significantly, compared with either positive targets or homogenous conditions, indicating an attention bias to negative expression; (3) shared identities between targets and distractors impaired tracking performance, compared with homogenous condition; (4) absence of eyebrows in facial images did not affect processing of negative expressions. In conclusion, we examined grouping strategy in MIT using facial expression as object identities. Our results showed that targets with negative expressions improved tracking performance significantly compared with positive and neural expressions, indicating an attention bias to negative attention. People can not only effectively use location and physical properties information of objects during multiple objects tracking found in previous studies, but also more ecological facial expression information. Our study also provides a new way of investigating perception of facial expressions of emotions in dynamic scenes.
IMPLEMENTASI MOBILE LEARNING UNTUK PERKULIAHAN MENGGUNAKAN MEDIA VISUAL

Dengan semakin berkembangnya Teknologi Informasi dan Komunikasi, perkembangan dunia pendidikan juga ikut berkembang. Dimana pembelajaran sekarang tidak harus langsung di kelas, tapi dapat dilakukan dimana saja dengan menggunakan perangkat berupa internet, wifi, mobile device ataupun video-conferencing. Karena metode pembelajarannya yang memanfaatkan elektronika maka biasa disebut dengan e-learning (electronic learning). Dalam perkembangannya e- learning akan berevolusi menjadi mobile learning. Dan perkembangan terbaru dalam teknologi mobile semakin memungkinkan untuk mendukung pembelajaran bergerak dan memanfaatkan situasi belajar yang spontan dan efisien serta dapat dilakukan pada anywhere dan anytime Dengan permasalahan tersebut dapat dilakukan perancangan dalam sistem mobile learning yang berbasis android dengan memanfaatkan media visual berupa perangkat mobile dan layanan video, karena sistem pembelajarannya lebih bervariatif. Oleh karena itu perlu dilakukan perancangan dan implementasi sistem mobile learning agar nantinya dapat digunakan sebagai acuan dalam membuat suatu sistem mobile learning yang baik. Pengujian mobile learning ini akan dilakukan pada jaringan wireless dengan cara melakukan download atau akses pada mobile learning object. Untuk itu pengujian sistem akan diuji ketika proses kedua transfer data di atas berlangsung. Adapun paket data yang di-transfer merupakan data mobile learning object berupa video.
High-resolution analysis of the wavelength stopping effect in a self-sweeping fiber laser

We experimentally investigate for the first time, to the best of our knowledge, wavelength stopping, as well as slow reverse sweeping regimes in a self-sweeping fiber laser with a high temporal and spectral resolution, with a heterodyne technique. The experiments have shown that reverse sweeping, in fact, is a drifting series of short normal scans consisting of 5–7 pulses and there is no drift of central wavelength in the case of wavelength stopping. An effective spectral width of the mode set of the investigated fiber laser can be estimated as ~0.2 and ~30 MHz in the case of normal and reverse sweeping, respectively. An influence of absorption as well as gain and refractive index dynamical gratings on the wavelength stopping effect is also experimentally demonstrated.
MAGNETIC AND DIELECTRIC CHARACTERISATION OF PANI - COBALT FERRITE NANO COMPOSITE SYNTHESIZED VIA GREEN MEDIUM.

T.R. Smitha 1 , Thushara Bhadran 2 , Vaishali Shanker 2 and K.H. Prema 2 . 1. Department of Chemistry, T.K. M.M. College, Nangiarkulangara, Alappuzha, Kerala, India. 2. Department of Chemistry, Sanatana Dharma College, Alappuzha, Kerala, India. Manuscript Info Abstract . Manuscript History Received: 24 March 2019 Final Accepted: 26 April 2019 Published: May 2019
Molecular dynamics modeling of a partially saturated clay‐water system at finite temperature

The mechanical and hydraulic properties of unsaturated clay under nonisothermal conditions have practical implications in geotechnical engineering applications such as geothermal energy harvest, landfill cover design, and nuclear waste disposal facilities. The water menisci among clay particles impact the mechanical and hydraulic properties of unsaturated clay. Molecular dynamics (MD) modeling has been proven to be an effective method in investigating clay structures and their hydromechanical behavior at the atomic scale. In this study, we examine the impact of temperature increase on the capillary force and capillary pressure of the partially saturated clay‐water system through high‐performance computing. The water meniscus formed between two parallel clay particles is studied via a full‐scale MD modeling at different elevated temperatures. The numerical results have shown that the temperature increase impacts the capillary force, capillary pressure, and contact angle at the atomic scale. The capillary force on the clay particle obtained from MD simulations is also compared with the results from the macroscopic theory. The full‐scale MD simulation of the partially saturated clay‐water system can not only provide a fundamental understanding of the impact of temperature on the interface physics of such system at the atomic scale, but also has practical implication in formulating physics‐based multiscale models for unsaturated soils by providing interface physical properties of such materials directly through high‐performance computing.
Kernel Matrix Completion

KERNEL MATRIX COMPLETION Rachelle Alvarez Rivero In this study, in order to improve the accuracy of machine learning, methodologies for completing multiple incomplete data representations have been developed. In data analysis including pattern recognition and clustering, each data object is not limited to a single representation. In many applications, several measurement methods are available to objects to be analyzed, yielding multiple data representations. For example, in the task of function prediction of proteins in cells, each protein can be represented with its amino acid sequence, cubic structure, interactions with other proteins, and expression data. Each data representation provides useful information for function prediction. Proteins that have homology in their amino acid sequences are likely to have same functions in cells. The cubic structures of proteins determine functions. Many function mechanisms in cells depend on multiple interacted proteins. Proteins with same functions express the same conditions in cells. Thus, each of these representations is informative for function prediction. Research reports have shown that analysis accuracy is improved by combining multiple data representations. However, an issue in data analysis based on multiple data representations is that data examples lacking any representation cannot be included in machine learning. In this thesis, several new methods for completing incomplete data are presented. To assess the effectiveness of the new data completion methods, experiments on real-world data are carried out. The results are then reported.
ZONA KESESUAIAN LAHAN RAWA PASANG SURUT BERBASIS KEUNGGULAN KOMPETITIF KOMODITAS

The research was aimed to engineer the agriculture development model in KTM tidal swampland that based on resources utilization optimizing (land, human,and material), agriculture technology amelioration and farm zoning based on competitive advantage. The research was conducted in Cahaya Baru KTM, Barito Kuala Regency, South Kalimantan whose land was tidal swampland. Data were collected by interviewing 160 respondents that had been chosen by the mean of purposive random sampling. Data was analyzed by using competitive advantage method. Research result showed that on tabukan (down part of surjan), for potential field tipology with A, B and C overflow type on wet rice field (surjan available) was afforded by using cropping pattern with new paddies variety. that turn to be more competitive than local paddy variety plant. Whereas, on A and B sulfate acid tidal swampland would be more profitable if were afforded with new paddies variety and C overflow type was afforded with local paddy variety. Vegetable plant above guludan (raise bed) on sulfate acid field typology and potential for A and B overflow typology were using cropping pattern of chili (MH)- tomato (MKI)-tomato (MKII) which most competitive. Whereas, for C type of overflow typology the cropping pattern of chili (MH) – tomato (MK I) was the most competitive. These competitive advantage were visualized on commodities competitive advantage map on 1 : 55.000 scale.