Miracle-dz/UniFAR-FTUs huggingface dataset:
Text and language independent speaker identification by using short-time low quality signals

Several speaker identification applications that exploit voice signals recorded by using wireless networks of small, low-power acoustic sensors are becoming feasible. However, the acoustic signals provided by these devices have typically lower signal-to-noise ratio compared to wired microphone systems. In this paper, we present a text and language independent speaker identification algorithm based on a cepstral speech parameterization method. We analyze the robustness of the algorithm when the quality of the recorded voice signals is decreased. We also investigate how the number of cepstral coefficients considered in the extracted feature vector, and the resolution of the Discrete Fourier Transform affect the algorithm performance. To make the application as close to real-time as possible, we propose a light-weight classification technique based on a simple –yet effective– similarity measure.
PHONONS , ROTONS AND RIPPLONS AT INTERFACES

The bulk and surface thermal excitations of superfluid helium are well-defined and long-lived both for small wave vectors and for large, comparable with inverse average atomic separation. The distinctive dispersion relation of the bulk excitations, shown in Fig. 1, is measured in experiments on neutron scattering [1]. There is an almost linear phonon part, and a parabola-like roton part. Rotons with negative group velocity, to the left from the minimum, are called R− rotons, and with positive group velocity R rotons. The bulk excitations were studied in a large series of experiments on pulses of quasiparticles in helium at very low temperatures (see [3, 4]). R− rotons, however, eluded direct detection, supposedly due to anomalously weak interaction with interfaces, as solid heaters and bolometers were usually used for creation and detection of pulses. This was further affirmed by their eventual detection in [3] by means of a special source and quantum evaporation, and the effect needed theoretical description. Ripplons are quantised capillary waves on the surface of He II. Experiments on neutron scattering in thin films [5] showed, that they are well-defined quasiparticles even at frequencies of the order of the roton gap. It was important to derive theoretically their dispersion relation for large wave vectors (see [6]). Both problems were solved using a model in which the quantum fluid is described as a continuous medium at all length scales, down to the interatomic distances [7, 8]. This approach naturally allows to consider a quantum fluid with essentially arbitrary nonlinear dispersion relation, and the two problems turned out to be two sides of one. In this paper we give a short review of the model and method used, and the main results of this approach.
Fatal Coxsackievirus A16 Pneumonitis in Adult

H foot, and mouth disease (HFMD) is a benign condition caused by coxsackievirus A type 16 (CVA16), which affects young children and usually resolves uneventfully. Rarely, it may be associated with complications such as meningitis, encephalitis, myelitis, and respiratory failure. During outbreaks of enterovirus infection, respiratory failure has been associated with cardiac failure in children infected with enterovirus 71 (EV 71) but not in those infected with CVA-16 (1,2). We report a case of CVA-16 pneumonitis that was fatal for an adult.
Simulation-based Optimization of Energy Consumption and Discomfort in Multi-Occupied Offices Considering Occupants Locations and Preferences

Among the factors affecting the energy consumption of buildings, occupancy-related factors are the least understood due to the uncertainty and complexity associated with them. As a result, there is a rise in this area of research focusing on the effect of occupants (e.g., their location, behaviour, etc.) on buildings’ energy consumption. Focusing on office buildings, researchers have suggested several occupancy monitoring techniques in order to minimize the energy usage of existing office buildings. However, a limited number of studies have been conducted to consider proper sensing techniques to distinguish between different occupants in multioccupied offices and to apply local control to adjust the lighting and HVAC systems based on the occupancy information. This research proposes a simulation-based multi-objective optimization of the energy consumption in office buildings considering occupants’ locations and preferences. The objective functions are minimizing the energy consumption and the occupants’ discomfort hours simultaneously by applying local control of the Heating, Cooling, and Air Conditioning (HVAC) system. A case study is presented to demonstrate the feasibility of the proposed method.
NLP Final Project Cross Domain Sentiment Classification on Reddit Comments Using Distant Supervision

The introduction of the internet gave rise to various platforms of open communication such as forums, social media, Internet Relay Chat (IRC), and review sites. Popular websites and social networks such as Twitter and Facebook serve over 1 billion unique visitors monthly, with Twitter receiving 500 million daily tweets per day [5]. In the project, I used Machine Learning techniques in order to create a classifier that can apply sentiment analysis to determine whether a tweet is positive or negative in sentiment. I also examine the cross domain usefulness of my classifier with comments posted on Reddit.com. The result is a surprisingly effective sentiment analyzer that manages to achieve similar accuracy levels of around 80% on a hand labelled test set.
UNDERLYING DETERMINANTS OF CAREER DECISION MAKING OF HOSPITALITY UNDERGRADUATE STUDENTS ENROLLED IN UNIVERSITIES WITHIN NAIROBI METROPOLIS , KENYA

In Kenya, the hospitality industry is in shortage of thirty thousand skilled and professional employees as document in vision 2030. However, there has been a proliferation of Universities offering hospitality undergraduate management course. Hospitality students are seen as the needed workforce that would address this shortage. Therefore, this study sought to fill this gap by specifically investigate the effects of demographic factors (gender and age), individual background factors, and career outcome expectations on career decision making of hospitality undergraduate students. Findings revealed that majority of participants (69%) were females and many (71.9%) had joined hospitality career with secondary school qualifications. Captivatingly, majority (85.4%) were intending to seek a career in the hospitality industry following graduation. Multiple regression results revealed that, among the significant predictors (gender, individual background factors and career outcome expectations), career outcome expectations was the most significant predictor. Thus, the study concluded that career outcome expectations influence students’ career decision making in the hospitality industry. The study recommends hospitality practitioners to provide more opportunities such as through field trips, internships and part-time jobs for students to directly experience a real industry job. By so doing, students will develop a clear image of what to expect from the industry or what awaits them following graduation. This would help towards better alignment of their career outcome expectations and thus encourage them to join the industry.
A Methodology forDesigning High Confidence Pattern viaEvent-B : Insulin Infusion Pump Case Study 1

The correct formal design is anachievement in software engineering, but we faced with challenges to satisfy that. The informal problems types are general or special. The special informal problems depend on the case study and the general informal problems come from an inexperienced designer called anti-patterns". In this paper we discuss these two types on Insulin Infusion Pump (IIP) and sample of UML class diagrams. The proposed approach to formalize IIP is based on using event B. Finally, we could verify that the code generated from the proposed approach is correct and formal to use as a pattern. The accuracy of the proposed verification steps are suitable for using toany systems or medical device. We applied the proposed approach on the sample of eightfamous UML class diagrams used as templates. The method ameliorates the proof percentage.
Young women ' s part-time work : family formation , choice and context

Economic and sociological theories propose different explanations for the relation between family responsibilities and labour market participation. Economists emphasize the choices made by the individual actor, whereas sociological perspectives focus on cultural and structural factors that constrain individual choice. In the debate the lower labour market participation of women is being linked with stronger family orientations and limited labour market attachment (particularly in Hakim's interpretation of human capital theory). In this paper we analyze the participation rate, part-time work and full-time work among young women over time. We first look at the labour market position of mothers before their transition to parenthood, in order to evaluate the causal effect of family formation. Indeed, young mothers work full-time less often than young women without children. This observation suggests that women reduce their labour market participation in response to the demands of childcare. However, our longitudinal analyses also reveal that mothers in part-time positions often already worked part-time before their first childbirth. This seems to support the alternative interpretation which connects the lower female participation with stronger family orientations and weaker labour market attachment. However, further qualitative analyses suggest that most of young women’s part-time work is involuntary, not originating from active choice.
ANALYSIS OF MASSIVE DATA : KEY ROLE OF RESOLUTION SCALE OF THE ANALYTICS

Resolution scales of analytics can be coupled in the following way. The principal or main analysis is carried out on a low resolution data encoding. This simply expresses that data are aggregated. We consider where data aggregation is interpretationally of value; and where it is of computational benefit. Once the principal or main analysis is carried out, using supplementary elements, we can locate or map rows or columns, i.e. individuals, or attributes or attribute modalities, in the semantic, factor space. From the overall perspectives we proceed to address specific aspects of our data. While the above provides focus in analytical processing, what is so very important also is context. Here to be described is how context gives rise to qualitative as well as quantitative effectiveness and impact assessment.
Phase Extraction Of The Analytic Video Signal In Clifford Algebra

The paper presents an algebraic framework for (2D+t) video analytic signals and a numerical implementation thereof using Clifford biquaternions and Clifford Fourier transforms. Though the basic concepts of Clifford Fourier transforms are well-known, an implementation of analytic video sequences using multiquaternion algebras does not seem to have been realized so far. A biquaternion algebraic framework is developed to express Clifford Fourier transforms and (2D+ t) video analytic signals in standard and polar form constituted by a scalar, a pseudo-scalar and six phases. The phase extraction procedure is provided. Then a numerical implementation using discrete fast Fourier transforms of an analytic multiquaternion video signal is proposed. When considering a progressive plane wave, the proposed numerical estimation retrieves correctly the six phases and the linear relationships with the time, horizontal position and vertical position of video signal. Liang Wang Université de Lyon, CREATIS; CNRS UMR 5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France. Bât. Blaise Pascal, 7 avenue Jean Capelle, F-69621 Villeurbanne. e-mail: liang.wang@creatis.insa-lyon.fr Patrick R. Girard Université de Lyon, CREATIS; CNRS UMR 5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France. Bât. Blaise Pascal, 7 avenue Jean Capelle, F-69621 Villeurbanne. e-mail: patrick.girard@creatis.insa-lyon.fr Patrick Clarysse Université de Lyon, CREATIS; CNRS UMR 5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France. Bât. Blaise Pascal, 7 avenue Jean Capelle, F-69621 Villeurbanne. e-mail: patrick.clarysse@creatis.insa-lyon.fr Philippe Delachartre Université de Lyon, CREATIS; CNRS UMR 5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France. Bât. Blaise Pascal, 7 avenue Jean Capelle, F-69621 Villeurbanne. e-mail: philippe.delachartre@creatis.insa-lyon.fr
A SELF-ADAPTIVE SPATIAL-TEMPORAL CORRELATION PREDICTION ALGORITHM TO REDUCE DATA TRANSMISSION IN WIRELESS SENSOR NETWORKS

In this work, we propose a self-adaptive spatial-temporal correlation (SASTC) prediction algorithm, which combines temporal correlation and spatial correlation to prediction sensing data in wireless sensor networks. Adaptive grey prediction model is used to measure the temporal correlation of sensing data, and then Delaunay triangulation is introduced to measure the spatial correlation of sensing data. The adaptive grey prediction model runs between member nodes and cluster heads, using the temporal correlation of data within these nodes and heads to reduce the amount of data transmission. The spatial correlation model runs between cluster heads and sink nodes, using the spatial correlation of data within the member nodes to reduce the amount of data transmission. The simulation results show that the algorithm has higher prediction accuracy, which can effectively reduce the amount of data transmission in the network and save the energy consumption of data transmission.
Factorization models for context-aware recommendations

The field of implicit feedback based recommender algorithms have gained increased interest in the last few years, driven by the need of many practical applications where no explicit feedback is available. The main difficulty of this recommendation task is the lack of information on the negative preferences of the users that may lead to inaccurate recommendations and scalability issues. In this paper, we adopt the use of contextawareness to improve the accuracy of implicit models—a model extension technique that was applied successfully for explicit algorithms. We present a modified version of the iTALS algorithm (coined iTALSx) that uses a different underlying factorization model. We explore the key differences between these approaches and conduct experiments on five data sets to experimentally determine the advantages of the underlying models. We show that iTALSx outperforms the other method on sparser data sets and is able to model complex user–item relations with fewer factors.
Exterior Bound Allotted Advanced Node Distribution for Energy Efficient Clustering ( EBAN DEEC ) Protocol in WSN

In recent years , numerous steering conventions have been proposed to enhance the lifetime, deployment of nodes, energy efficiency, latency, robustness, fault tolerance, and reliability of Wireless Sensor Networks (WSN). The vitality requirements and drawing out the lifetime of the WSN is imperative part of steering conventions. Diverse bunch based directing convention have proposed to enhance the customary conventions i.e. direct transmission, multi-jump steering, static bunching and least transmission-vitality. Among all group based conventions, DEEC is the most conspicuous WSN convention. In this undertaking, we have attempted to extend the DEEC by including diverse components in DEEC for homogeneous and heterogeneous situations. We have proposed Hand DEEC Phase-1 by presenting capable group head choice plan and distinctive transmitting force levels for DEEC in homogeneous environment. Be that as it may, vitality sparing plan of homogeneous environment is not suitable for heterogeneous environment. Stable Election Protocol (SEP) is the element heterogeneous steering convention. SEP depends on weighted decision probabilities of every hub to end up the bunch head as indicated by the remaining vitality in every hub. We propose Hand DEEC Phase-2 by applying diverse methods for correspondence (between CH to sink) for cutting edge and ordinary hubs. By demonstrating recreation, we demonstrate that Hand DEEC is more vitality proficient and has longer lifetime of system than DEEC in homogeneous and heterogeneous situations. Keywords-Data aggregation, Dynamic cluster head rotation, Heterogeneous system, DEEC Protocol, WSN.
Theory of Colour Harmony and Its Application

The colour represents an essential element of visual and graphic communications. It plays an important role in the perception of visual design and it is significant for all participants in the process of planning, developing and promoting graphic products. Designers are interested in a psychological and presentational aspect of colours, while to the technologists the colour represents one of the most important quality attributes. The process of choosing colours that are harmonious, usable and efficient is complex. In addition, many designers have inadequate background knowledge of colour theory, which could help them with the selection of colours. As a result, designers usually spend a great deal of time and expend significant effort in choosing appropriate colour combinations. In this article, the importance of colour harmony and its application when extracting colours, rating and generating colour schemes is presented.
Segmentação Automática de S-EMG em Protocolos Dinâmicos para Compressão Bidimensional

This paper presents a preprocessing technique of dynamic S-EMG protocol consisting of automatic detection of muscle activity and segmentation based on consecutive intervals. This segmentation is performed to generate a two-dimensional matrix from the S-EMG signal, corresponding to a digital image, which exploits more efficiently the HEVC encoder intra-frame prediction. The results are compared to a fixed window length approach for temporal segmentation, in addition to other results reported in the literature. The proposed technique proved to be the most efficient for compression factors above 80%. Keywords—Data compression, Image Compression, Surface electromyography, HEVC.
BIOAUGMENTATION OF AN ACTIVATED SLUDGE

This study investigated the performance of a bacterial product Free Flow (NCH Suomi Oy) as a bioaugmentation tool at doses 0, 20 μl and 120 μl of an Activated Sludge Process on a laboratory scale. The flow rate of wastewater to the Activated Sludge Process plant was 18 l/d. Sludge settling, sludge activity, examination of composition of wastewater microbes present and biofloc formation under microscope, reductions in suspended solids, CODCr, BOD7ATU and enteric microbes were studied. The percentage performances in the BOD7 ATU removal were 99% for both 120 μl and 20 μl doses and were higher than the 0 dose (97% p ˂ 0.05). The percentage performances in the CODCr removal were 97% for both 120 μl and 20 μl doses and these reductions were higher than the 0 dose (91% p ˂ 0.05). The percentage performances in suspended solids reduction were 88% for the 120 μl dose, 87% for the 20 μl dose and 84% for the 0 dose. The log10 reductions in microbial communities covered were; E. coli 120 μl dose 3.2, 20 μl dose 2.9, and 0 dose 2.6. With the Intestinal Enterococci population, the 120 μl dose performed (2.9, 20 μl dose 2.6, and 0 dose 2.4 log reductions. With the F-RNA coliphage population, the 120 μl dose performed 3.6, 20 μl dose 3.3, and 0 dose 2.8 log reductions. Mean MLSS level at the 120 μl dose phase was 6.5 g/l and was higher than the 20 μl (4.7 g/l and 0 dose 3.4 g/l p ˂ 0.05). The 20 μl dose MLSS was also higher than the 0 dose (p ˂ 0.05). MLVSS followed the same trend, 120 μl dose was 2.2 g/l, 20 μl dose 1.7 g/l and 0 dose 1.4 g/l. Mean sludge activity from dehydrogenase test of sludge recorded (2.9 μg formazan/MLSS), (3.5 μg formazan/MLSS) and (5.6 μg formazan/MLSS) at the 120 μl, 20 μl and 0 dose phases respectively. Mean sludge volume index recorded were 68 ml/g, 48 ml/g and 55 ml/g at the 120 μl, 20 μl and 0 dose phases, respectively. Microbial occurrence varied, however during 20 μl dose, the floc was very good and characterized by the prevalence of Rotifera, crawling ciliates and stalked ciliates. Sludge settling recorded higher values during the 120 μl dose phase and lower settling trend was recorded during the no dose phase. Overall, after the application of the bioaugmentation agent, a higher reduction performance was recorded with BOD7 ATU and CODCr, MLSS increased favourably and floc improved. The 120 μl dose performed the most reduction with all the microbes covered and the most successful reduction was achieved with the F-specific RNA coliphage microbial population.
Oxygen Partial Pressure Dependence of the Properties of TiO 2 Thin Films Deposited by DC Reactive Magnetron Sputtering

Thin films of TiO2 have been deposited on glass and silicon wafers (100) substrates by DC reactive magnetron sputtering from a 99.995% pure titanium target. The influence of the oxygen partial pressure on the optical, crystallinity, surface morphology and UV-induced hydrophilic properties has been studied. The films were characterized by UV-VIS spectrophotometer, X-ray diffractometer, atomic force microscopy and scanning electron microscope. The UV-induced hydrophilicity of the films was measured by the contact angle variation. The results showed that the crystalline anatase, anatase/rutile or rutile films can be successfully deposited on unheated substrate. The best hydrophilicity was obtained on the well-crystallized anatase TiO2 thin film deposition with 5.0 10 mbar oxygen partial pressure. The optical band gap of TiO2 thin films increased with increasing oxygen partial pressure, from 3.21 to 3.28 eV, with film thickness of 135 nm. © 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of I-SEEC2011
The Effectiveness Of Reading Guide For Enhancing The Non-English Lecturers ’ Reading Competence At Higher Education In Central Java

This paper attempts to find out whether or not Reading Guide designed by the writers can enhance the reading ability of non-English lecturers at Higher Education in Central Java, Indonesia. Besides, it also tries to reveal the extent to which the lecturers could understand the language components found in the text. The method used in this research was experimental research with the population of non-English lecturers at Kopertis Wilayah VI, Central Java. Sixty three (63) lecturers from several universities were taken randomly as the sample. Two kinds of instrument for collecting the data, namely reading test and interview were used. It was found out that the mean score of the pre-test was 55,61 which is considered to be poor; meanwhile the mean score of the post-test was 75,68 and considered to be fair. When these two means were compared using t-test, it was gained the t-value of 9,119. Since the t-value is higher than the t-table 2.00 (9.119>2.00), it can be concluded that there is significant difference of the lecturers’ reading competence before and after using Reading Guide. It implies the meaning that Reading Guide is quite effective for enhancing the reading ability of non-English lecturers. Besides, it was also revealed that most of the lecturers had low motivation and negative attitudes towards reading activity, particularly reading English text. It could be possible to be a part of the reasons why their reading ability so far is poor.