Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling Text Independent Speaker Identification with Vector Quantization

Speaker identification is one of the most important technology nowadays. Many fields such as bioinformatics and security are using speaker identification. Also, almost all electronic devices are using this technology too. Based on number of text, speaker identification divided into text dependent and text independent. On many fields, text independent is mostly used because number of text is unlimited. So, text independent is generally more challenging than text dependent. In this research, speaker identification text independent with Indonesian speaker data was modelled with Vector Quantization (VQ). In this research VQ with K-Means initialization was used. K-Means clustering also was used to initialize mean and Hierarchical Agglomerative Clustering was used to identify K value for VQ. The best VQ accuracy was 59.67% when k was 5. According to the result, Indonesian language could be modelled by VQ. This research can be developed using optimization method for VQ parameters such as Genetic Algorithm or Particle Swarm Optimization.
Service selection method supporting service relation

With wild application of the service-oriented thinking in business area,the service quantity increased rapidly,thus a large comlicate business network was formed.Through these dynamic collaboration between services,a Services-Oriented Business Ecosystem(SOBE)was put forward.To selecting service effectively and playing correlative relationship between services fully,a service selection method supporting service relation was proposed.History information was selected to construct service relation network based on service.A relation network-based service selection goal programming model supporting applicated assocation was set up,and genetic algorithm was used to solve the proposed model.A experiment was designed to verify the effectiveness and feasibility of proposed method.
Design of Decimation Filter for Sigma-Delta A/D Converter

This paper introduces a kind of design method about the digital decimation filter design for Sigma-delta ADC with high performance, analyze its features of frequency and high pass filter, and give the results of simulation. The decimation filter can be applied to 1 bit, 128 times the rate of oversampling for Σ-Δ modulator, and can form a complete Σ-Δ A/D converter with Σ-Δ modulator. The area of this device is small, and the power consumption is very low with high precision. It can be easily realized with hardware in the SOC ASIC design and suitable for audio system.
Um Estudo sobre Técnicas de Aprendizado de Máquina aplicadas à Mineração de Dados

This paper presents a comparative study between the application of Artificial Neural Networks and the k-Means algorithm, for Data Mining. Such machine learning techniques are used as tools for data classification and clustering. The database used treats on a psychological experiment that analyses the human behavior based in a scale. Resumo. Este artigo apresenta um estudo comparativo entre a aplicacao de Redes Neurais Artificiais (RNAs) e o algoritmo de clusterizacao k-Means, para a Mineracao de Dados. Tais tecnicas de aprendizado de maquina sao utilizadas, neste trabalho, como ferramentas para a classificacao e clusterizacao de dados de um experimento psicologico que analisa o comportamento do ser humano baseado em uma escala.
Leader-Following Consensus of Multi-Agent Systems

In this paper,the leader-following consensus problem for multi-agent systems with directed networks is studied.The leader-following consensus problem for multi-agent systems is also discussed when the corresponding graph of the network is strongly connected.The designed coordination laws for the followes utilize the agents velocity information,then the stability of the closed-loop system is further analized based on the classical Lyapunov theory.The effect of the aggregation gains on the tracking performance of the closed-loop system is theoretically proved.Finally,simulation results validate the theoretical analysis.
Examination of Driver Lane Change Behavior and the Potential Effectiveness of Warning Onset Rules for Lane Change or "Side" Crash Avoidance Systems

(ABSTRACT) Lane change or " Side " Crash Avoidance Systems (SCAS) technologies are becoming available to help alleviate the lane change crash problem. They detect lane change crash hazards and warn the driver of the presence of such hazards. This thesis examines driver lane change behavior and evaluates the potential effectiveness of five warning onset rules for lane change or " side " crash avoidance system (SCAS) technologies. The ideal SCAS should warn the driver only when two conditions are met: (1) positive indication of lane change intent and (2) positive detection of a proximal vehicle in the adjacent lane of concern. Together, these two conditions create a crash hazard. The development of SCAS technologies depends largely on an understanding of driver behavior and performance during lane change maneuvers. By quantifying lane change behavior, real world crash hazard scenarios can be simulated. This provides an opportunity to evaluate potential warning onset rules or algorithms of driver intent to change lanes. Five warning onset rules for SCAS were evaluated: turn-signal onset (TSO), minimum separation (MS), line crossing (LC), time-to-line crossing (TLC), and tolerance limit (TL). The effectiveness of each rule was measured by the maximum response time available (t available) to avoid a crash for a particular lane change crash scenario, and by the crash outcome, crashed or crash avoided, of a particular lane change crash scenario. iii ACKNOWLEDGEMENTS I would like to thank, first of all, my committee members. I would like to express my most sincere gratitude to Dr. Louis Tijerina for his ongoing support and guidance as both a friend and a mentor. His intelligence and expertise has provided me with valuable insights to conduct my research. I would also like to thank Dr. Walter Wierwille for sharing his vast and profound knowledge throughout my graduate studies at Virginia Tech. I would like to thank my chair, Dr. Tom Dingus for giving me the opportunity to work in the field of transportation and for opening my eyes to research. His efforts have contributed considerably to my future for which I give him my deepest thanks. I would like to thank Delco Electronics, Inc. for providing the instrumented vehicle used in my study. I give my appreciation to the Vehicle Research and Test Center, which provided a means for developing my thesis. I would also like to thank the Virginia Tech Center for Transportation Research for providing me with …
Study on Printed Tibetn Character Recognition

The method of printed Tibetn character recognition presented by this paper is based on printed Tibetn character propectus of five different fonts,w h ich are Beiti,Heiti,Yuanti,Changti,Zhuti. Pilot study by preprocessing, docume nt line and character segmentation ,features selection and pattern classificati on, has obtained average recognition rate of 89.582% for doucments of those fiv e fo nts ,and average recognition rate for doucments of others fonts has reache d 93. 867%.
HOW THE INTERNAL STAKEHOLDERS PERCEIVE THE IMPLEMENTATION OF CONTROLLING

Controlling is considered to be one of the key tools that help to make the management of an enterprise more efficient, and thus adjust to continual changes of the economic environment of the present times. By implementing controlling into an enterprise, it becomes its inevitable part which helps coordinate all systems in the enterprise. It is all internal stakeholders who encounter controlling, i.e. the owners, managers, and the employees. However, for controlling to be efficient in an enterprise, it is essential to implement it appropriately, promote and enforce it, and gradually build it up, in order to achieve its most appropriate form. Psychological aspects help to understand how implementation of controlling is perceived by the employees, managers, and the owners. The main objective of this paper is to determine the effect of controlling from the psychological point of view, and from the view of the internal stakeholders. Using the data obtained in a survey, the paper also aims at proposing a model of implementing, enforcing, and using controlling in an enterprise. Within the empirical research, the authors have used a questionnaire as a method of surveying the given problem in the practice of Slovak enterprises. The results of the research enabled identification of the main barriers of implementing, enforcing, and using this tool in enterprises, as perceived by the employees, managers, and the owners. Based on the results, a standardized model of implementing, enforcing, and using controlling in Slovak enterprises has been proposed. This model will help to ensure the acceptance of controlling by all stakeholders, eliminate barriers to its implementation and enforcement in an enterprise, help understand its benefits by internal stakeholders, and enable an effective use and functioning of this tool.
A Perspective about the Application of Quality of Context in U-Learning Environments

U-Learning environments collects context information relative to user’s preferences and needs, but this information is typically very volatile. For this reason, Quality of Context is aimed at treating this information by applying quality parameters. This chapter aims to help the reader understand how the quality of context information can be treated in U-Learning environments, which are the main theoretical bases, technologies that support them and what are the methods, advantages and disadvantages related to this approach. In addition, specific cases of development and application of technologies and strategies involving Quality of Context are presented to illustrate all the concepts described. The results of usability testing related to the SUS questionnaire showed that the developed environment described in the case of study operated satisfactorily, based on the assessments made by the group of users who tested the modules and their operation.
Should We Reject the Natural Rate Hypothesis?

Fifty years ago, Milton Friedman articulated the natural rate hypothesis. It was composed of two sub-hypotheses: First, the natural rate of unemployment is independent of monetary policy. Second, there is no long-run tradeoff between the deviation of unemployment from the natural rate and inflation. Both propositions have been challenged. Blanchard reviews the arguments and the macro and micro evidence against each and concludes that, in each case, the evidence is suggestive but not conclusive. Policymakers should keep the natural rate hypothesis as their null hypothesis but keep an open mind and put some weight on the alternatives.
Çiftçilerin Bilgisayar ve İnternet Kullanımı Üzerine Bir Araştırma: Denizli İli Çivril İlçesi Örneği

Bu calismada ciftcilerin bilgisayar ve internet kullanma duzeyleri incelenmis, tutum ve davranislarini belirlenmistir. Calisma Denizli ili Civril ilcesi merkeze bagli 10 koyde yasayan 147 ciftci ile anket yapilarak olusturulmustur. Arastirmadan elde edilen bazi sonuclara gore, ciftcilerin yaklasik %60'inin evinde bilgisayara sahip oldugu, % 52'sinin internet ve bilgisayar kullandigi soylenebilir. Ciftcilerin bilgisayar kullanma amaclarinin basinda internete erismek gelirken, internet kullanim amaclari ise, bilgi edinmek, haber ve yenilik takip etmek ve sosyal paylasim sitelerini takip etmek olarak belirlenmistir. Calismada yapilan khi kare analiz sonucuna gore, ciftcilerin yas, medeni durum, egitim durumlari ve yillik geliri ile bilgisayar ve internet kullanimlari arasinda anlamli bir iliski oldugu gozlemlenmistir.
The Burden of Big Data

Gathering and processing high volumes of data is relevant in all branches of science, including the humanities. Increasingly large collections of information on people, objects, and events, and the relationships between them are being created by people and by machines, both for research purposes and for companies and institutions. Our ability to process this data is also improving by leaps and bounds.
Study on Chinese Short Message Text Classification Based on Theme

According to characteristics of Chinese short message text categorization,some contents are proposed,such as the synonymy concept merging,the superior concept and sub-concept semantic focusing and using of topic sentences.The algorithm getting theme of short text is used to obtain the text theme.KNN algorithm is also used to classify the short text subject.Simulation experimental results show this algorithm can improve the classification speed of the short text.
Modified Na$\ddot{i}$ve Bayes Classifier for Categorizing Questions in Question-Answering Community

Social media refers to the content, which are created by users, such as blogs, social networks, and wikis. Recently, question-answering (QA) communities, in which users share information by questions and answers, are regarded as a kind of social media. Thus, QA communities have become a huge source of information for the past decade. However, it is hard for users to search the exact question-answer that is exactly matched with their needs as the number of question-answers increases in QA communities. This paper proposes an approach for classifying a question into three categories (information, opinion, and suggestion) according to the purpose of the question for more accurate information retrieval. Specifically, our approach is based on modified Nave Bayes classifier which uses structural characteristics of QA documents to improve the classification accuracy. Through our experiments, we achieved about 71.2% in classification accuracy.
Utvärdering av latens och jitter för LQG och PID

Digital control theory normally assumes equidistant sampling intervals and a negligible or constant control delay from sampling to actuation, so called input/output latency. However this can seldom be achieved in practice. In the computer tasks interfere with each other through preemption and blocking when waiting for common resources. The execution time for each task may be data-dependant and therefore differ from one sample to another, which introduces a so called jitter in the latency. The latency and jitter introduced by the computer can lead to significant performance degradation, and may also lead to instability. This thesis discusses how computer-induced latency and jitter affects computer-controlled systems. Control systems, with various processes and control structure of either PID or LQG, are analyzed under various latency and jitter conditions. The systems are analyzed and simulated with the Matlab-based tools Jitterbug and TrueTime. Jitterbug allows the computation of a cost function for linear systems under various timing conditions. With this tool, one can estimate how sensitive a control system is to latency and jitter. With TrueTime the user can simulate a control system in a real-time kernel under various timing conditions. The results from the analysis and the simulations are presented and discussed. (Less)
Techreport for GERBIL 1.2.2 - V1

Since the initial release of GERBIL, we added four tasks to the list of available experiment types. First, we supported the OKE Challenge 2015 [9] by adding the first and second task, i.e, named entity recognition, typing and linking as well as entity type annotation (cf. CETUS [13]), to GERBIL’s experiments types. Here, we also integrated a hierarchical f-measure for the evaluation of the new typing task. The challenge requirements led to the introduction of the new concept of sub-tasks. Thus, users are now able to analyze whether the linking or the recognition step of an annotator caused the most problems. Second, we directly derived two tasks, namely Entity Recognition and Entity Typing from the two tasks above. In addition, GERBIL now contains improved diagnostic capabilities such as the possibility for runtime measurements. Moreover, we added the calculation of correlations of dataset features and annotator performance as well as different measures for better analysis of the annotator performance, such as the distinction between entities known to a knowledge base or emerging entities [4]. We removed the separation between Sa2KB and A2KB as well as between Sc2KB and C2KB. The usage of confidence scores is not a part of the A2KB and C2KB experiments. If an annotator adds confidence scores to its annotations, GERBIL searches a threshold that optimizes the micro F1-score.
Paths from the Philosophy of Art to Everyday Aesthetics

It is often thought that art teaches us and that we can learn from it. To learn that p is to come to know that p. So, art can teach us only if we can gain knowledge through art. How is this possible? Nelson Goodman tries to explain it by his theory of symbols. However, his theory just explains how works of art can refer to the world, and referring to the world is not enough for having knowledge about the world. Because knowledge is a matter of having true beliefs, in order to give us knowledge, works of art must say something that is true. It is argued that we can explain how they can do this, if we revise and supplement certain aspects of Goodman’s theory of symbols. Furthermore, we can even explain how our built and natural environment can teach us.
The Analysis and Optimization of Personalized Customization Model of Crowdsourcing Based on GSPN

The development and customization of new products in crowdsourcing is an important crowdsourcing theory application issue. But as a new business model, there are usually low efficiency, poor effect in the process of enterprises, and in practical application and the combination of businesses. This paper proposes the generalized stochastic Petri net (GSPN) theory in the modeling and performance analysis in crowdsourcing business model, and assesses effectively about the overall model’s time performance and operation efficiency, which has been verified and optimized by 24% in an example. This paper starts from crowdsourcing contest business model to optimize the process and the frame of crowdsourcing through quantitative analysis results, so as to provide a reference for the decision-making party of the business model.
Attention and the representation of objects in space

Visual information is processed by the brain in a large number of functional sites across a network of anatomically separate areas. In order to guide coherent behaviour, visual attention is required to select and integrate information regarding the spatial and perceptual attributes of separate objects from the numerous areas involved in their representation. The empirical work reported in this thesis investigates the role of spatial information in guiding this process and considers the different types of representation that may be involved. Using an experimental paradigm designed to disambiguate priming in egocentric and allocentric coordinates, the thesis contrasts the predictions of location and object-based models of attention across a series of experiments that manipulate the way attention is oriented to the location or identity of objects in the visual scene. Initial chapters investigate the distinction between exogenous and endogenous attention and its implication for the coordinate frame in which selection occurs. Subsequent chapters investigate the role of non-spatial attributes such as colour differentiation and grouping in determining the nature of spatial representation underlying shifts of attention as well as spatial-temporal constraints on object-based priming. The results across the thesis are inconsistent with the distinction imposed by space and object-based models of attention and instead support a more flexible account in which attentional mechanisms activate representations that combine non-spatial and spatial information about localised objects at a number of levels of spatial description.
Virtual Reality and Education: Overview Across Different Disciplines

Virtual reality (VR) is a technology which combines hardware and software solutions. It permits to create three-dimensional (3D) virtual worlds and virtual objects. This chapter describes how VR technologies find positive application fields in educational environments. VR, combined with multimedia technologies and in support of different learning styles, offers potential help in teaching and in learning paths. This chapter shows a set of examples in the applications of VR at different age levels schools, and in different countries (USA, Italy, Morocco, Romania, and Switzerland). VR, and their applications, are also described here.
Plantes médicinales et formes d'utilisation en phytothérapie

Lorsqu'un patient se presente au comptoir d'une pharmacie d'officine en exposant les differents symptomes qu'il ressent, le pharmacien peut repondre a ses attentes si l'affection est benigne et en l'absence de tout diagnostic. Pour cela ce specialiste de sante dispose d'une multitude de produits et medicaments parmi lesquels il devra choisir le ou les plus adaptes.Dans cet immense arsenal therapeutique, les plantes tiennent depuis de nombreuses annees une place importante.En amont de la delivrance d'un medicament a base de plantes se cachent de nombreuses etapes dediees a la fabrication et aux essais des produits, assurant leur qualite pharmaceutique.Apres le cheminement des vegetaux a travers les âges, ce travail est consacre a l'etude du devenir des plantes utilisees, depuis leur recolte jusqu'a l'obtention du produit fini. La legislation sur les plantes medicinales et leurs produits derives evoluant regulierement, connaitre leur statut actuel en facilitera et garantira la delivrance et l'utilisation en toute securite. Puis chaque forme d'utilisation des plantes medicinales utilisable en conseil en officine est etudiee, afin de renseigner sur la solution pertinente qu'offre la Phytotherapie.Enfin la derniere partie, plus pratique, rassemble les conseils personnalises que le pharmacien doit prodiguer au patient en fonction de l'indication therapeutique et des produits phytogaleniques proposes pour le traitement
CPW-Fed Compact Ultra Wideband MIMO Antenna for Portable Devices

Background/Objectives: A novel Coplanar Waveguide (CPW) fed Multiple Input Multiple Output (MIMO) ultrawideband (UWB) antenna with a size of 26mm x 40mm x 0.8mm is proposed for portable device applications. Methods/Statistical Analysis: Two monopole elements with CPW fed are the elements of MIMO antenna and are placed perpendicular to each other to obtain pattern diversity. To enhance the isolation between elements and to improve impedance bandwidth, a long protruding ground stub is etched on the ground plane. Findings: The proposed antenna can cover the frequency band from 2.3-12.5 GHz with isolation more than -20 dB over the entire frequency band. A peak realized gain of 4.5 dBi and efficiency of more than 90% is achieved through the proposed antenna model. Applications/Improvements: High isolation of more than -20 dB is obtained from 2.3-12.5 GHz. The proposed antenna is good candidate for portable device applications.
Uso de datos abiertos y técnicas de minería de datos para la clasificación de estudiantes de instituciones privadas de educación superior de Belem-PA

The private universities face the challenge to reduce the evasion rate of the undergraduate students. If this rate is too high, the profit of these universities can drastically reduce, driving away shareholders and investors. This paper aims to apply data mining techniques to classify students who completed the course and those who dropped out, in order to facilitate the identification of possible risk factors that influence university dropout. The analysis used open data extracted from the government portal and various data mining algorithms.