Miracle-dz/UniFAR-FTUs huggingface dataset:
Force-balancing model predictive control of MEMS vibratory gyroscope sensor

In this paper, the design process of a new model predictive control (MPC) for force-balancing operation mode of a vibratory Micro-Electro-Mechanical-System (MEMS) gyroscope is investigated. Based on the internal model principle, a robust repetitive MPC is proposed to regulate the gyroscope’s drive mode output to a pre-specified periodic reference signal and to set the sense mode vibration to zero. Owing to the fast dynamics of the MEMS gyroscope, large prediction horizons are required to attain the closed-loop stability as well as tracking objectives. In order to alleviate the computational burden of online optimization within large prediction horizons, a set of orthonormal functions, named Laguerre functions are used to parameterize the system trajectories. Distinguishing features of the proposed control method, for MEMS gyroscope applications, are robustness to large parametric uncertainty, exogenous disturbances/noises and the capability to handle the hard input constraints within an optimal setting. Using a recursive least squares algorithm, on-line estimation of the unknown angular rate and the quadrature error of the force-balanced gyroscope is performed. Through computer simulations, the tracking accuracy of the proposed control method together with the convergence of the parameter estimation algorithm is assessed.
PECTOPEXY TO REPAIR VAGINAL VAULT PROLAPSE : A FINITE ELEMENT APPROACH

The vaginal prolapse after hysterectomy (removal of the uterus) is often associated with the prolapse of the vaginal vault, rectum, bladder, urethra or small bowel. Minimally invasive surgery such as laparoscopic sacrocolpopexy and pectopexy are widely performed for the treatment of the vaginal prolapse with weakly supported vaginal vault after hysterectomy using prosthetic mesh implants to support (or strengthen) lax apical ligaments. Implants of different shape, size and polymers are selected depending on the patient’s anatomy and the surgeon’s preference. In this computational study on pectopexy, DynaMesh®-PRP soft, GYNECARE GYNEMESH® PS Nonabsorbable PROLENE® soft and Ultrapro® are tested in a 3D finite element model of the female pelvic floor. The mesh model is implanted into the extraperitoneal space and sutured to the vaginal stump with a bilateral fixation to the iliopectineal ligament at both sides. Numerical simulations are conducted at rest, after surgery and during Valsalva maneuver with weakened tissues modeled by reduced tissue stiffness. Tissues and prosthetic meshes are modeled as incompressible, isotropic hyperelastic materials. The positions of the organs are calculated with respect to the pubococcygeal line (PCL) for female pelvic floor at rest, after repair and during Valsalva maneuver using the three meshes.
No 2 BETA-DECAY CORRELATIONS IN THE LHC ERA ∗

Neutron and nuclear beta-decay correlation coefficients are linearly sensitive to the exotic scalar and tensor interactions that are not included in the Standard Model. The proposed experiment will measure simultaneously 11 neutron correlation coefficients (a, A, B, D, H, L, N , R, S, U , V ) where 5 of them (H, L, S, U , V ) were never addressed before. Silicon pixel detectors are considered as promising alternative to multi-wire gas chambers devoted to electron tracking in the original setup. The expected sensitivity limits for S and T — EFT parameters describing the scalar and tensor contributions to be extracted from the transverse electron polarization related coefficients H, L, N , R, S, U , V are discussed.
THE EFFECT OF THE SPOKEN LANGUAGE ON THE DISTORTION OF THE LINEAR PREDICTION CODERS

The newly developed Code Excited Linear Prediction "CELP" Speech coders combine low data rates and good speech quality. However these coders have been built initially for 7 languages not included Arabic language. So what is the effect of the change of the spoken language or accent? This paper answers on many questions. The first question is; what is the effect of the language or accents on CELP coders? Moreover what will happen if the speech is compressed more by lower data rate coder and at the same time the language is other than English? Finally; what is the defective part in the coder? Extensive testing is done on 3 coders ITU G.711, ITU G.723. 1 and 3GPP AMR. The outputs were compared with the ITU PESQ algorithm. It has been proved that the speech quality will be slightly degraded when using Arabic. Also the quality is decreased as the compression ratio increased which will be lower and unstable for Arabic or Cairo accent. Finally it is found that the main problem is the Linear Prediction vector quantization CodeBook and has been verified by the MFCC and LBG algorithm.
A Model Predictive approach for semi active suspension control problem of a full car

A suspension controller aims at enhancing the ride comfort and the handling of vehicle which are evaluated by the acceleration at center of gravity and the roll motion resspectively. In this paper, a semi-active suspension Model Predictive Control (MPC) is designed for a full vehicle system equipped with 4 semi-active dampers. The main challenge in the semi-active suspension control problem is to tackle with the dissipativity constraints of the semi-active dampers , here recasted as input and state constraints. The controller is designed in the MPC framework where the effects of the unknown road disturbances are taken into account. An observer approach allows to estimate the road disturbance information to be used by the controller during the prediction step. Then, the MPC control law with road estimation (but without road preview) is computed by minimizing a quadratic cost function, giving a trade-off between the comfort and the handling, while guaranteeing some phyiscal constraints of the semi-active dampers. Some simulation results performed on a nonlinear full car model are presented in order to illustrate the effectiveness of the proposed approach.
Material embodiments of electroacoustic music: an experimental workshop study

This paper reports on a workshop where participants produced physical mock-ups of musical interfaces directly after miming control of short electroacoustic music pieces. Our goal was understanding how people envision and materialize their own sound-producing gestures from spontaneous cognitive mappings. During the workshop, 50 participants from different creative backgrounds modeled more than 180 physical artifacts. Participants were filmed and interviewed for the later analysis of their different multimodal associations about music. Our initial hypothesis was that most of the physical mockups would be similar to the sound-producing objects that participants would identify in the musical pieces. Although the majority of artifacts clearly showed correlated design trajectories, our results indicate that a relevant number of participants intuitively decided to engineer alternative solutions emphasizing their personal design preferences. Therefore, in this paper we present and discuss the workshop format, its results, and the possible applications for designing new musical interfaces.
P 2 P Live Video Streaming

The ever increasing demand for video content directed the focus of research from traditional server-based schemes to peer-to-peer systems for video delivery. In such systems, video data is delivered to the users by utilizing the resources of the users themselves, leading to a potentially scalable solution. Users connect to each other, forming a p2p overlay network on top of the Internet and exchange the video segments among themselves. The performance of a p2p system is characterized by its capability to deliver the video content to all peers without errors and with the smallest possible delay. This constitutes a challenge since peers dynamically join and leave the overlay and also contribute different amounts of resources to the system. The contribution of this thesis lies in two areas. The first area is the performance evaluation of the most prominent p2p streaming architectures. We study the streaming quality in multiple-tree-based systems. We derive models to evaluate the stability of a multiple tree overlay in dynamic scenarios and the efficiency of the data distribution over the multiple trees. Then, we study the data propagation in mesh-based overlays. We develop a general framework for the evaluation of forwarding algorithms in such overlays and use this framework to evaluate the performance of four different algorithms. The second area of the thesis is a study of streaming in heterogeneous p2p overlays. The streaming quality depends on the aggregate resources that peers contribute to the system: low average contribution leads to low streaming quality. Therefore, maintaining high streaming quality requires mechanisms that either prohibit non-contributing peers or encourage contribution. In this thesis we investigate both approaches. For the former, we derive a model to capture the evolution of available capacity in an overlay and propose simple admission control mechanisms to avoid capacity drainage. For the latter, in our last work, we propose a novel incentive mechanism that maximizes the streaming quality in an overlay by encouraging highly contributing peers to offer more of their resources.
coVenanT or conTracT : The TreaTy of friendShiP beTWeen neW Zealand and Samoa 1962 .

This paper looks at different interpretations of the 1962 Treaty of Friendship between New Zealand and Samoa, to uncover possible sources of misunderstanding between the two nation states. The 1962 Treaty of Friendship marked the independence of Samoa1 from New Zealand. Unlike most international treaties of friendship, the NZ/Samoan treaty was written in the languages of both of the signatories, with both languages, English and Samoan, designated as ‘equally authentic’2. In addition, the wording of this treaty differed from most international treaties in that the language of human rights and egalitarianism was used, rather than the previous terminology associated with the Treaty of Westphalia. However, a comparative linguistic analysis reveals that, while the English version uses the language of contract and human rights, the Samoan version uses the concept of covenant and the language of Christianity and spirituality. We argue that difference in language helps to explain some of the differences in importance accorded to the Treaty in New Zealand and Samoa.
H-, P- and T-Refinement Strategies for the Finite-Difference-Time-Domain (FDTD) Method Developed via Finite-Element (FE) Principles

In this research, several improvements to the FDTD method are implemented by recasting it as a mixed Whitney-form finite-element method. This step permits the application of numerous advancements developed by the finite element community, such as non-uniform nested refinement schemes and higher order Nedelec-type basis functions. The first improvement is h-refinement, a method for abutting disjoint grids with distinct edge lengths (commonly referred to as “subgridding”). This overcomes one of the major disadvantages of the FDTD method: its restriction to uniform sample resolution regardless of physical local feature size. With this improvement, field singularities can be modeled with greater fidelity and stair-casing error can be reduced for geometries with curved features for local instead of global cost. Another improvement explored herein is the development of higher order accurate FDTD-like methods, by replacing the collections of Yee cells with “Lobatto cells” which support mixed order Lagrange polynomial finite elements. Unlike traditional high order finite-difference schemes, the proposed Lobatto cell maintains high order accuracy at material interfaces and metal wall boundaries. These methods have superior geometrical fidelity and dispersion characteristics over the typical Yee method. Both the subgridding and high order improvements inherit the Yee’s schemes famous robustness by construction: they are provably energy conserving, electric charge conserving and magnetic charge conserving. When
SUMS: A Flexible Approach to the Teaching and Learning of Statistics

Statistical Understanding Made Simple (SUMS) (http://www.gla.ac.uk/sums) is an online statistics tutorial generator which covers basic statistical concepts and focuses on applying these concepts to real data. Instructors can upload their own data to the site, and students choose the level at which they want to work from one of three levels. SUMS adopts a teaching approach where each concept is explained, the student explores the concept with an interactive game, and then applies their knowledge to a concrete example (using data provided by the instructor). SUMS was evaluated to determine its effectiveness as a stand-alone resource for psychology students and as a resource to support a psychology laboratory class, using a measure of statistics self-efficacy (based on Finney & Schraw, 2003) and a statistics comprehension test. Results of the evaluation showed that overall, SUMS had a positive impact on students' statistics comprehension and self-efficacy.
SEGMENTATION OF TUMOR REGIONS IN MICROSCOPIC IMAGES OF BREAST CANCER TISSUE

Nowadays, advances in the domain of digital pathology gave the means to replace the old optical microscopes by the Whole Slide Imaging (WSI) scanners. These scanners enable pathologists viewing conventional tissue slides on a computer monitor. Currently, several applications that aim to analyze human tissue are evolving remarkably. Segmentation of tumor regions in microscopic images of breast cancer tissue in one of the application that researchers are investigating extensively. Indeed, researchers are interested in such application not only because breast cancer is one of the pervasive cancers for human beings, but also segmentation is one of the basic and frequent tasks that pathologists have to perform in order to perform tissue analysis. In this thesis, we addressed the task of segmentation of tumor regions in microscopic images of breast cancer tissue as a machine learning task. We developed different supervised and unsupervised learning frameworks. Our proposed frameworks encompass five steps: (1) pre-processing, (2) feature extraction, (3) feature reduction, (4) supervised and unsupervised learning, and (5) post-processing. We focused on the extraction of textural features, as well as utilization of supervised learning techniques. We investigated individually the MR8Fast, Gabor, and Phase Gradient features, as well as a combination of all these features. We investigated also different classifiers which are Naive Bayes, Artificial Neural Network, and Support Vector Machine, as well as a combination of the supervised learning results. We conducted different experiments in order to compare the different proposed frameworks. Therefore, we developed different conclusions. The MR8Fast features are the most discriminating features compared to the Gabor and Phase Gradient that come in the second and third place respectively. Furthermore, the Naive Bayes classifier and the combination of classification results, that have been overlooked for the segmentation of tumor regions in microscopic images of breast cancer tissue, achieved better results compared to the Support Vector Machine classifier which has been extensively employed for this task. These promising conclusions promote the need for further work to investigate other textural features as well as other classifiers.
Enhancing the Expressivity of the Sensel Morph via Audio-rate Sensing

This project describes a novel approach to hybrid electro-acoustical instruments by augmenting the Sensel Morph, with real-time audio sensing capabilities. The actual action-sounds are captured with a piezoelectric transducer and processed in Max 8 to extend the sonic range existing in the acoustical domain alone. The control parameters are captured by the Morph and mapped to audio algorithm proprieties like ﬁlter cutoﬀ frequency, frequency shift or overdrive. The instrument opens up the possibility for a large selection of diﬀerent interaction techniques that have a direct impact on the output sound. The instrument is evaluated from a sound designer’s perspective, encouraging exploration in the materials used as well as techniques. The contribution are two-fold. First, the use of a piezo transducer to augment the Sensel Morph aﬀords an extra dimension of control on top of the oﬀerings. Second, the use of acoustic sounds from physical interactions as a source for excitation and manipulation of an audio processing system oﬀers a large variety of new sounds to be discovered. The methodology involved an exploratory process of iterative instrument making, inter-spersed with observations gathered via improvisatory trials, focusing on the new interactions made possible through the fusion of audio-rate inputs with the Morph’s default interaction methods.
DOCUMENT CONTENT MINING FOR AUTHORS’ IDENTIFICATION TASK

This paper deals with automatic authorship attribution through documents content analysis. This approach is based on selecting sets of suitable features relying on specific use of grammar, punctuation or vocabulary and in the next step – executing given classification algorithm. The contribution first overviews various text characteristics which can be employed for that purpose, then presents the results of experiments involving feature selection and examines classifier performance for author identification problem. The paper concludes with discussion and proposals for further research.
Recommendation System : A Global and Soft Approach

This Paper recommendation to researchers has been extensively studied in the last years, and many methods have been investigated for this purpose. In this paper, we propose a novel approach embedding the whole process for selecting papers of interest given some keywords. Our approach is based on a workflow integrating fuzzy clustering of the papers, the computation of a representative summary paper per cluster using Ordered Weighted Average (OWA) operators, and ranking, in order to answer user queries adequately. The originality of our method relies in the introduction of fuzziness for more flexibility in the approach. The use of representative papers allows us to summarize sets of papers into a single representative one, thus simplifying the user’s interactions with the huge number of papers from the literature. Keywords-Paper Recommendation; Soft Computing; Fuzzy Clustering; Ordered Weighted Average (OWA)
A MONOLITHICALLY INTEGRATED PHOTORECEIVER WITH AVALANCHE PHOTODIODE IN CMOS TECHNOLOGY

An avalanche photodiodes were fabricated by standard 0.18 μm CMOS process (CMOS-APD) with the maximum bandwidth of 8.4 GHz at the avalanche gain of about 10 and the gain-bandwidth product of 280 GHz. To achieve highspeed photo receivers, two types of TIA which are common-source and regulated-cascode TIAs were simulated by utilizing the output of the CMOS-APDs. The figure of merits of gain-bandwidth product was applied to find better results of the transimpedance gain and bandwidth performance due to trade-offs between them. The common-source TIA produced the transimpedance gain of 22.17 dBΩ, the bandwidth of 21.21 GHz and the gain-bandwidth product of 470.23 THz × dBΩ. Besides that, the simulated results of the regulated-cascode TIA configuration demonstrate 79.45 dBΩ transimpedance gain, 10.64 GHz bandwidth, and 845.35 THz × dBΩ gain-bandwidth product.
The Relation Between Psychiatric Disorders and Substance Abuse in Adolescence and Young Adulthood

Data of Substance abuse gathered from all over the world, has indicated that Substance use and dependence cause a significant burden on societies and individuals across the globe. The World Health Report 2002 indicated that 8.9% of the total burden of disease comes from the use of psychoactive substances. In 2005, the WHO reported that there are about 200 million addicts around the world. With a population of around 80 million inhabitants, drug addiction is considered one of the serious problems that worry both the people and the government. It affects young people within their productive years and may lead to many problems such as social maladaptation, decreased work productivity and job loss. As can be further proven by our study, stress has long been recognized as one of the most powerful triggers for drug abuse, craving and relapse. People who experience major trauma and those with PTSD or depression may self-medicate with drugs or alcohol to relax and cope with stress. Stress exists in various forms in our lives; it could be in the form of parents’ separating, money troubles, dropping out of school, etc. In today’s modern age, it’s extremely difficult to remain resilient with all the distress that surrounds us. Therefore, people who face strong stressors in their lives often do resort to substance use to mask the pain of everything they are going through. That’s why adolescence is a very critical stage, as teens are extremely vulnerable to peer pressure, often leading to substance abuse. As will be clearly seen by our results, substance abuse in adolescents is a grave problem with direct consequences that affects a marked percentage of adolescents nowadays. Psychiatric disorders could present as risk factors for substance abuse; hence, management of these comorbid psychiatric disorders may prevent the persistence of this problem into adulthood. To sum up, substance use remains a public health problem among adolescents. Comorbidity is the rule rather than the exception, and psychiatric disorders often predate SUD. However, treatment can alleviate impairment caused by comorbid psychiatric and SUDs. The earlier we initiate the treatment of these adolescents, the better the outcome. The longer the time an adolescent spends in treatment, the better the prognosis.
EVALUATION OF ENGLISH/RUSSIAN-CROATIAN

In this research, a specific data set was machine translated by two publicly available machine translation services, Google Translate and Yandex.Translate. Machine translations were performed for two language pairs: English-Croatian and Russian-Croatian. Afterwards, automatic quality evaluation of the machine translated data set was carried out. Several automatic metrics were used: BLEU, NIST, METEOR and GTM, in order to evaluate machine translations relating to the domain of city description, for each language pair and for each machine translation service.