Miracle-dz/UniFAR-FTUs huggingface dataset:
Exactly Solvable Quantum Mechanics

A comprehensive review of exactly solvable quantum mechanics is presented with the emphasis of the recently discovered multi-indexed orthogonal polynomials. The main subjects to be discussed are the factorised Hamiltonians, the general structure of the solution spaces of the Schroedinger equation (Crum's theorem and its modifications), the shape invariance, the exact solvability in the Schroedinger picture as well as in the Heisenberg picture, the creation/annihilation operators and the dynamical symmetry algebras, coherent states, various deformation schemes (multiple Darboux transformations) and the infinite families of multi-indexed orthogonal polynomials, the exceptional orthogonal polynomials, and deformed exactly solvable scattering problems.
Using Infinite Server Queues Theory In Stress Testing

In this thesis, we propose and study a framework to model stress testing, using an infinite server queues theory, such that this framework is aligned with and integrates several existing frameworks currently used in the industry. On the other hand, memoryless property plays a critical rule in the framework of industry models. Our proposed framework will provide a mathematical analysis for the memoryless property as well.
Laboratory stand for human robot cooperation

Commonly used programmable industrial robots often lack sensors allowing them to safely operate alongside human operators. Because of the required security measures, human-robot cooperation is often limited or even impossible. The presented article describes the current advancements in industrial robotics; mainly force limited robots and standard manipulators equipped with additional external sensors, which concentrate on improving human-robot cooperation. Commercially available products are described as well as completed and current research projects. In the article, we also propose a concept of a robotic system dedicated to working alongside humans, incorporating the Universal Robots UR5 manipulator.
A Survey on Web Text Information Retrieval in Text Mining

In this study we have analyzed different techniques for information retrieval in text mining. The aim of the study is to identify web text information retrieval. Text mining almost alike to analytics, which is a process of deriving high quality information from text. High quality information is typically derived in the course of the devising of patterns and trends through means such as statistical pattern learning. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, creation of coarse taxonomies, sentiment analysis, document summarization and entity relation modeling. It is used to mine hidden information from notstructured or semi-structured data. This feature is necessary because a large amount of the Web information is semistructured due to the nested structure of HTML code, is linked and is redundant. Web content categorization with a content database is the most important tool to the efficient use of search engines. A customer requesting information on a particular subject or item would otherwise have to search through hundred of results to find the most relevant information to his query. Hundreds of results through use of mining text are reduced by this step. This eliminates the aggravation and improves the navigation of information on the Web.
Apparent Tissue Modulus for Micro/Nano Pillar Arrays

Polymeric culture platforms with micro/nano topographies have provided a powerful approach to modulate cell to substrate interactions. Substrate stiffness and topography has been widely explored in order to study physical cues that cell exert. Cells respond to chemical and mechanical signals from surrounding microenvironments. While chemical signals have been well studied in the last decade [1,2], mechanical cues are also very important to cell growth owing to a surface rigidity and compatibility. It has been recognized that substrate stiffness has a significant effect on traction forces as well as cell differentiation, growth, and mobility[3]. The goal of this given study is to investigate beam deformation as stiffness element in order to simulate apparent elastic modulus that focal adhesion regions would signal during cell culturing. Furthermore, this approximation would be a superior tool that helps cell mechanosensing investigators to design efficient substrates that match the tissue’s elastic moduli.
Design and Implementation of SMS Extraction and Analysis System

With more and more applications of smart phone, more and more text messages in mobile phone, and then more and more information possibly contained in text messages. How to dig out useful information form SMS? This paper discusses techniques of the SMS extraction and analysis. Taking the bank SMS as example, key information is extracted to inform, is formatted to story in APP database, and then be analysed and statistic result shown in chart. The APP with the function is run well on Android phone and has Practical value. This technology helps to expand the application of SMS.
Geometric tuning: spectroscopy using whispering-gallery resonator frequency-synthesizers

Continuous fine-tuning of nonlinear processes in whispering-gallery resonators is still in its infancy. We demonstrate an innovative, fast, and compact tuning-method by enlarging a ring-like whispering-gallery resonator made out of lithium niobate with the help of a piezo actuator disk embedded inside the resonator. The radial expansion of the actuator forces the resonator to change its size and shape. This process is much faster than thermal tuning and has the additional benefit of a smaller dispersion. Using just this method to tune the resonator, a second-harmonic process pumped at around 1 μm wavelength can be tuned mode-hop-free over a range of 28 GHz, and an optical parametric oscillator pumped at the same wavelength achieved 4.5 GHz continuous tuning. In addition to presenting and demonstrating this novel concept, the influence of the elasto-optic effect and the refractive-index dispersion are discussed, and an analytic model to predict the wavelength dependent tuning efficiency is presented.
Development of an efficient data coverage strategy for testmanager

Model-based testing (MBT) emerged during the last years as a new approach to deal with the testing of complex software systems, generating sets of test cases automatically. MBT may be implemented following different approaches, the most common ones being: transition, data and state coverage. This MSc thesis focuses on the combination of transition and data coverage in order to achieve a more complete testing. This combination is approached by the use of two black box techniques: equivalence partitioning and boundary value analysis. GNU Prolog (Gprolog) software, a constraint solver, has been selected as a solution for both obtaining an immediate solution and achieving the domain of a constraint. Achieved results on a small but realistic case study show acceptable execution times in order to get 100% transition and boundary value coverage. Further results are a boundary value coverage/time graph, an application of boundary value analysis not only to numeric values but to most common data types, and a set of metrics in order to evaluate results. All these achievements were gathered in a boundary value strategy, named BVA, a data oriented strategy. As a conclusion, it is shown that merging MBT approaches results in more benefits that the single use of one of them.
Evaluation Method for Node Importance of Power Grid Based on the Weighted Network Model

Some important nodes in power grid have serious impacts on cascading failures.Choosing reactance of transmission line as the weight parameter,a weighted power network model based on complex network theory is established.The weighted network agglomeration is defined.The important node evaluation indicator is proposed based on the weighted power network model.With this method,both network topology of the power grid and distribution of electrical characteristics are considered.The time-domain simulation on EPRI 36 bus system shows the effectiveness of the method.
Preserving the Edges of a Digital Image Using Various Filtering Algorithms and Tools

Digital Image Processing is basically the implementation of a set of computer algorithms for processing digital images. Digital image processing has probative advantages over Analog image processing. In this content, noise like, Gaussian, Salt and Pepper, Speckle and Poisson, is added to an image and then the original edges are restored using various filters and tools. These tools have remarkable alteration on the image and hence they are widely employed. Some of them are wavelet transform, median filter, Weiner filter and many more.
Extraction automatique de paramètres prosodiques pour l'identification automatique des langues Automatic extraction of prosodic features for automatic language identification

and key words The aim of this study is to propose a new approach to Automatic Language Identification: it is based on rhythmic modelling and fundamental frequency modelling and does not require any hand labelled data. First we need to investigate how prosodic or rhythmic information can be taken into account for Automatic Language Identification. A new automatically extracted unit, the pseudo syllable, is introduced. Rhythmic and intonative features are then automati- cally extracted from this unit. Elementary decision modules are defined with gaussian mixture models. These prosodic modellings are combined with a more classical approach, a vocalic system acoustic modelling. Experiments are conducted on the five European languages of the MULTEXT corpus: English, French, German, Italian and Spanish. The relevance of the rhythmic parameters and the efficiency of each system (rhythmic model, fundamental frequency model and vowel system model) are evaluated. The influence of these approaches on the performances of automatic language identification system is addressed. We obtain 91 % of correct identification with 21 s. utterances using all the information sources
Intuitionistic Fuzzy Number Based Group Decision Making Approach For Personnel Selection

Kuresel pazarda artan rekabetten dolayi en uygun personel secimi bir organizasyonun basarisinda cok onemli bir konudur. Saaty’nin tutarlilik metodu uzman goruslerinin tutarliligini kontrol etmek icin kullanilir. Tutarsiz gorusler yeniden degerlendirme icin uzmanlara geri gonderilir. Bu calismada mukemmel carpimsal tutarli sezgisel tercih iliskisi, tutarsiz uzman goruslerini otomatik olarak tutarli hale getirmek icin kullanilir. Sezgisel bulanik analitik hiyerarsi prosesi (SBAHP) ve SBVIKOR (sezgisel bulanik VlseKriterijumska Optimizacija I Kompromisno Resenje ) yaklasimi personel secimi probleminde daha once kullanilmamistir. Bu makale sezgisel bulanik ortamda mukemmel carpimsal tutarli sezgisel tercih iliskili personel secimi icin butunlesik cok kriterli karar verme yaklasimini sunmaktadir. Kriterlerin oncelik dereceleri SBAHP metodu kullanilarak belirlenmis ve adaylar arasindan en uygun personel SBVIKOR metodu kullanilarak belirlenmistir. Personel secimi uygulamasi bir lojistik firmasinda onerilen metodun etkinligini gostermek icin gerceklestirilmistir. Insan kaynaklari alaninda uzman uc kisi tarafindan bir anket yardimiyla personel secimi yapilmistir. Personel secimi icin uzman gorusleri ve literaturden yararlanilarak bes kriter belirlenmistir. SBAHP yaklasimi sonucunda K1 (kendine guven) kriteri lojistik firmasi icin personel seciminde en onemli kriter olarak belirlenmistir. SBVIKOR yaklasimi sonucunda lojistik firmasi icin en uygun adayin alternatif 3 oldugu belirlenmistir.
The Guru's Guide to SQL Server Architecture

"I can pretty much guarantee that anyone who uses SQL Server on a regular basis (even those located in Redmond working on SQL Server) can learn something new from reading this book. " --David Campbell, Product Unit Manager, Relational Server Team, Microsoft CorporationThe latest book from the highly regarded and best-selling author Ken Henderson, The Guru's Guide to SQL Server Architecture and Internals is the consummate reference to Microsoft SQL Server. Picking up where documentation and white papers leave off, this book takes an all-inclusive approach to provide the most depth and breadth of coverage of any book on SQL Server architecture, internals, and tuning.Blending in-depth discussion with practical application, the guide begins with several chapters on the fundamental Windows technologies behind SQL Server, including processes and threads, memory management, Windows I/O, and networking. The focus then moves on to the architectural details of SQL Server and how to practically apply them.The entire SQL Server product is covered--not just the functionality that resides within the core executable or product features that have been in place for years. SQL Server has matured and broadened substantially with each release, and the author explores the "fringe" technologies that have yet to be covered elsewhere, including Notification Services, Full Text Search, SQLXML, replication, DTS, and a host of others.Throughout the book, the author uses WinDbg, Microsoft's free downloadable symbolic debugger, to look under the hood of SQL Server. Armed with new debugging and coding skills, readers will be ready to master SQL Server on their own.The accompanying CD-ROM is packed with additional material, including full source code for the book's 900+ examples, as well as three invaluable tools: DTSDIAG, the VBODSOLE Library, and DTS Package Guru. DTSDIAG allows developers and administrators to simultaneously collect Profiler traces, perform logs, blocking script output, system event logs, and SQLDIAG reports from a specified SQL Server. The VBODSOLE Library features more than twenty new COM-based functions for Transact-SQL, including T-SQL enhancements such as array-manipulation routines, financial functions, string-manipulation functions, and system functions. DTS Package Guru is a . NET-based package editor for SQL Server's Data Transformation Services that allows editing of any modifiable package and supports the automation of mass package changes.The Guru's Guide to SQL Server Architecture and Internals is the essential guide for database developers and admin- istrators alike, regardless of skill level. 0201700476B10012003
Electronic excitation spectra of the five-orbital Anderson impurity model: From the atomic limit to itinerant atomic magnetism

We study the competition of Coulomb interaction and hybridization effects in the five-orbital Anderson impurity model by means of continuous time quantum Monte Carlo, exact diagonalization, and Hartree Fock calculations. The dependence of the electronic excitation spectra and thermodynamic ground state properties on hybridization strength and the form of the Coulomb interaction is systematically investigated for impurity occupation number $N \approx 6$. With increasing hybridization strength, a Kondo resonance emerges, broadens and merges with some of the upper and lower Hubbard peaks. Concomitantly, there is an increase of charge fluctuations at the impurity site. In contrast to the single orbital model, some atomic multiplet peaks and exchange split satellites persist despite strong charge fluctuations. We find that Hund's coupling leads to a state that may be characterized as an itinerant single atom magnet. As the filling is increased, the magnetic moment decreases, but the spin freezing phenomenon persists up to $N\approx 8$. When the hybridization is weak, the positions of atomic ionization peaks are rather sensitive to shifts of the impurity on-site energies. This allows to distinguish atomic ionization peaks from quasiparticle peaks or satellites in the electronic excitation spectra. On the methodological side we show that a comparison between the spectra obtained from Monte Carlo and exact diagonalization calculations is possible if the charge fluctuations are properly adjusted.
THE EFFICIENCY OF PLASTICIZING SURFACTANTS IN ALKALI-ACTIVATED CEMENT MORTARS AND CONCRETES

Functionality of mortar and concrete mixes is regulated by surfactants, which act as plasticizers. The molecular structure of these admixtures can be changed during hydration of alkali-activated cements (AAC). The objective was to determine the chemical nature of plasticizers effective for property modification of mortars and concretes based on AACs with changing content of granulated blast furnace slag from 0 to 100 %. The admixtures without ester links become more effective than polyesters when content of alkaline component increase. The admixtures effective in high alkaline medium were used in dry mixes for anchoring (consistency of mortar 150 mm by Vicat cone; 1 d tensile strength in bending / compressive strength of mortar 6.6 /30.6 MPа) and in ready-mixed concretes (consistency class changed from S1 to S3, S4 with consistency safety during 60 min; 3 d compressive strength of modified concrete was not less than the reference one without admixtures).
Article-Goods Associative Search using Bi-Source Topic Modeling Method

With the progress of digital convergence, multimodal data is generated in torrents. User-centric retrieval and recommendation services in this environment demand methods for multimodal information retrieval and associative analysis. In this paper, an associativity modeling method is presented for datasets from various sources and results are shown in online article-goods associative search just based on images. The model is named as a Bi-Source Topic Model (BSTM), which is an extension of LDA (latent Dirichlet allocation). An image dataset is constructed with pictures in Korean magazines and an online shopping mall. With BSTM, we can quantify associativities between images from magazine and mall based on the similarity of topic proportions in images. With a testset of goods images for evaluation, it is shown that proposed method results in about 60% success rate based on category information of goods. Given article pictures as queries, various goods are retrieved which contain interesting semantic relations.
A Goal Programming Model for Single Vehicle Routing Problem with Multiple Routes

The single vehicle routing problem with multiple routes is a variant of the vehicle routing problem where the vehicle can be dispatched to several routes during its workday to serve a number of customers. In this paper we propose a goal programming model for multi-objective single vehicle routing problem with time windows and multiple routes. To solve the model, we present a heuristic method which exploits an elementary Shortest Path Algorithm with Resource Constraints. Computational results of the proposed algorithm are discussed.
Integrating Flexible Filament Circuits for E‐Textile Applications

Practical wearable e‐textiles must be durable and retain, as far as possible, the textile properties such as drape, feel, lightweight, breathability, and washability that make fabrics suitable for clothing. Early e‐textile garments were realized by inserting standard portable electronic devices into bespoke pockets and arranging interconnects and cabling across the garment. In these examples, the textile merely served as a vehicle to house the electronics and had no inherent electronic functionality. A reduction in electronic component size, the development of flexible circuits, and the ability to weave robust interconnects offer the potential for improved levels of electronic integration within the textile. The weaving of electronic circuit filaments less than 2 mm wide into fabrics such that the electronics are fully concealed in the textile and given extra protection by the surrounding textile fibers is introduced. The failure mechanisms for different filament circuit designs before and after integration into the textile are investigated with a 90° cyclical bending test. Results show that encapsulated filament circuits embedded within the textile survive 45 washing cycles and more than 1500 cycles of 90° bending around a bending radius of 10 mm, performing five times better than equivalent filament circuits before integration into the fabric.
Resonator Impedance Optimization for Quasi-static Magnetic Resonance Based Actuation

Strongly coupled magnetic resonance is used to induce currents in a system of resonator coils. These induced currents are used to apply torque on a rotating resonator coil (rotor). The rotor angle dependent coil-coil torque interactions can be optimized by altering the impedance of the resonator coils, shifting their resonance frequency. A 14% gain in average torque is obtained for the considered system by detuning the capacitor values of the system’s resonators.
Radical Innovation by Theoretical Abstraction – A Challenge for The User-centred Designer

Abstract It is generally accepted that scientific disciplines such as psychology, sociology, and anthropology contribute beneficially to design by providing understanding of users’ needs, experiences, and desires. Arguably, however, these disciplines have more to contribute, because they include theories and models that can be applied as design frames and principles. More specifically, goal-setting, visualization, thematization, and conceptual reconfiguration are general mechanisms through which theories translate into design contributions. Actualizing radical design solutions via these mechanisms is discussed: theories provide appropriate means of abstraction, which allows ‘distance’ from user data; departure from the existing design and user paradigms toward ‘what has not yet been imagined’ is thereby possible. These suggestions draw from and are exemplified by a ship bridge design case.
Effects of Design and Construction on the Carbon Footprint of Reinforced Concrete Columns in Residential Buildings

Constructing structural elements requires high performance materials. Important decisions about geometry and materials are made during the design and execution phases. This study analyzes and evaluates the relevant factors for reinforced concrete columns made in situ for residential buildings. This article identifies and highlights the most sensitive aspects in column design: geometry, type of cement, and concrete strength performance. Using C-40 concrete mixed with CEM-II proved to cut costs (up to 17.83%) and emissions (up to 13.59%). The ideal combination of rebar and concrete is between 1.47 and 1.73: this is the percentage of the ratio between the area of rebar and the area of the concrete section. The means used during the execution phase affect resource optimization. The location of a building has only a minor impact, wherein the wind zone exercises more influence than topographic altitude.
Active-Connector-Based Software Architecture and Its Description Method

Connector is an important concept in software architecture. Since an engine mechanism is introduced into connector, connectors become triggers when they are connected with components, and can be transformed into visible parts in implementing system. This kind of connector is called active connector. In this paper, the authors introduce the concept of the software architecture that is based on active connectors, and present a description language.
Un enfoque Hamiltoniano para la estabilizaci´on de microredes incluyendo din´amicas de los convertidores

microredes forman parte de una clase especial de sistemas el´ectricos de potencia que ofrecen una alternativa atractiva para el uso de fuentes de energ´ıa sustentable. No obstante, imponen varios retos desde el punto de vista de control que por lo general se abordado bajo dos condiciones principales, la din´amica de los convertidores de potencia utilizados para forma la energ´ıa suministrada las fuentes renovables se simpliﬁcado y se supuesto sistema opera bajo r´egimen estado estacionario sinusoidal. fundamental Hamiltoniana control incluyendo convertidores y reactiva son los adecuados.