Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Noise Control Using LMS & NLMS Algorithm

Active filtering is a wide area of researcher in present decade in the field of communication. Active noise cancellation is a new approach used for noise reduction in speech signal. As received signal is continuously corrupted by noise where both received signal and noise signal both changes continuously, then this arise the need of active filtering. This paper deals with cancellation of noise on speech signal using two adaptive algorithms least mean square (LMS) algorithm and NLMS algorithm. And compare them for better performance and provide efficient performance with less computational complexity.
IMPROVING DEEP MATRIX FACTORIZATION WITH NORMALIZED CROSS ENTROPY LOSS FUNCTION FOR GRAPH-BASED MOOC RECOMMENDATION

Nowadays, with the fast growth of the Internet, the useful role of learning online is getting increasingly popular. MOOC platforms such as Coursera, Edx, Udemy, etc. are attracting many students from all over the world, with thousands of courses constantly continually being opened and updated. This raises the question of how to suggest courses that learners are interested in. To tackle this problem, we apply the Deep matrix Factorization model to the course suggestion along with the improved loss function. The experiment shows that our course recommendation system achieves better NDCG for top K courses than other methods. And the loss function has improved in NDCG measurement compared to the original DMF model.
Sonar Model Based Matched Field Signal Processing

Passive underwater sonar array systems were subject to development in the past decades for accomplishing tasks in naval surveillance and geo-acoustical investigation of the ocean bottom. Modern sonar passive array systems are using adaptive matched field signal processing techniques. Passive sonar array signal processing based on ocean physical propagation model is known as “Matched Field Processing” (MFP). It is a specific application of the more general case of space-time adaptive signal processing in the area of sonar array signals processing (Klemm, 2002). It is a cross-correlation technique developed for matching the values of the computed with a propagation model sound pressure with the measured values at the output of a passive sonar vertical array. The maximum in the crosscorrelation or ambiguity surface gives an estimation of the position of the underwater source. This technique is first proposed by Clay in 1966 and later on theoretically and experimentally developed by Hinich and Bucker in 1972 and 1975 (Sullivan & Middleton, 1993). In 1980 and 1981 Klemm introduced in the matched field signal processing algorithms the Capon’s minimum variance and Burg’s maximum entropy estimators for better resolution in shallow water environments (Sullivan & Middleton, 1993). The acoustic field in an ocean horizontally stratified waveguide may be presented as a sum of “normal waves” or “normal modes”1, each satisfying the boundary conditions and propagating down the layer with its own speed, wave constant and attenuation. The coherent modal sum is used in matched field signal processing for localization of an underwater source in range and depth. It can be used for localization of the source also with a horizontal array because the angular modal spread is proportional to the direction of arrival relative to the axis of the array (Klemm, 2002). The matched field processing for source position localization is presented in most of the investigations as a parameter estimation problem. It is assumed that the detection has been carried out and the frequency of the source is known. Some authors consider joint detection and localization problem [Booth et al., 2000]. In the beginning MFP of narrowband signals was used which was later modified with the more realistic for practical applications broadband case where MFP results for several frequencies are averaged. The aim of this chapter is to introduce the reader to the principles of matched field signal processing and present narrowband MFP experimental results. An available on the web normal mode propagation code and vertical sonar array signals data from a controlled source localization experiment are used. A comparison is made between MFP
Monte Carlo Techniques for Estimating Power in Aircraft T&E Tests

Abstract : Edwards AFB, as a matter of policy, requires statistical rigor be a part of test design and analysis. Statistically defensible methods are used to gain as much information as possible from each test. This requires:  Statistically defensible methods be identified and applied to each test  Setting up tests to maximize scope of inference, and  Determining the power or each test to optimize sample size This paper demonstrates how Monte Carlo techniques may be applied to aircraft test and evaluation to determine the power of the test and the associated sample size requirements. Traditional methods for determining the power of a test are based on distributional assumptions associated with data. These assumptions may not be appropriate; a distribution-free Monte Carlo technique for power assessment for tests with (possible) serially correlated data is presented. The technique is illustrated with an example from a target location error (TLE) test. Power of the test and appropriate sample sizes are derived using Monte Carlo simulation implemented in R.
The 5S rDNA and their chromosomal loci in autotriploid Carassius auratus

Background Polyploidization can induces a flurry of genetic events and plays an important role in speciation. In this study, we comparatively analyzed the molecular organization and chromosomal locus of 5S rDNA in natural autotriploid (3nCC, 3n=150) and artificial autotriploid gynogenetic (3nG, 3n=150) Carassius auratus as well as the related diploid ancestors, diploid Carassius auratus (2nCC, 2n=100) and Carassius auratus red var. (RCC, 2n=100), which provide a excellent model to ascertain the genomic changes in autotriploidization process. Results The similarities of the 5S rDNA coding region (class I, class II and class III) between RCC and 3nG were 98.3%, 100% and 99.1%, respectively, and the similarities of the 5S rDNA coding region (class IV, class V and class VI) between 2nCC and 3nCC were 97.5%, 100% and 100%, respectively. Fluorescence in situ hybridization (FISH) with 5S rDNA as probe indicated that the expected numbers of maternal chromosomal loci were found in 3nG and 3nCC, respectively. Conclusions These observations indicate that autotriploidization has little influence on the divergence of 5S rDNA family in Carassius auratus.
A semi-analytical approach to the study of the transient acoustic response of cylindrical shells

A semi-analytical method related to the effects of a weak shock wave on submerged evacuated cylindrical elastic structure is presented. The circular shell/acoustic medium interaction problem has already been tackled in the frequency domain with a full elastic model by Pathak and Stepanishen. The approach is based on the methods of Laplace transform in time, Fourier series expansions and separations of variables in space. The solution consists of simple matrix inversions for each point of the Laplace variable and Fourier mode, numerical inversions of the Laplace transforms and Fourier series summations. the method is shown by computing the shell response to a weak underwater explosion.
Anthropometry and soft biometrics for smart monitoring

The increasingly rapid convergence between machine and human languages has created a growing interest In the semintic analysis ofmultimedia contents. Despite the recent technological progresses, much remains to study in order to fill the semantic gap, the lack ofcoincidence between the information the machine extracts from raw data and the way humans interpret that content. Soft Biometrics (SB)represent the recent advances that Biometric research performed in these regards.Those traits have attracted the attention of theresearch community in that they have some characteristics peculiar to Hard Biometrics while they improve the semantic content theycarry. In this dissertation we explore the Body SB concept both from a theoretical and a practical point of view. Taking advantage ofdataset used for medicals and demographics studies, we analyze the relation between body parts and personal traits like anthropometricmeasures, weight, and gender. The ability to extract this information is tested by using both the 2D image analysis and by processing 3D video streams. We use SB for pruning a biometric database, enabling faster and more accurate response of a face recognition system.Moreover, we build an application that demonstrates the feasibility of people re-identification for limited groups of users. Furthermore, we present two medical applications for health conditions tracking. The former enables the interaction between the user and an automaticsystem that performs a medical check up of user’s body, providing hints and lifestyle suggestions. The latter Is intended to support themonitoring of cosmonauts’ weight losses due to the lack of gravity in outer space.
Towards Autonomous Machine Learning in Chemistry via Evolutionary Algorithms

Machine learning has been emerging as a promising tool in the chemical and materials domain. In this paper, we introduce a framework to automatically perform rational model selection and hyperparameter optimization that are important concerns for the efficient and successful use of machine learning, but have so far largely remained unexplored by this community. The framework features four variations of genetic algorithm and is implemented in the chemml program package. Its performance is benchmarked against popularly used algorithms and packages in the data science community and the results show that our implementation outperforms these methods both in terms of time and accuracy. The effectiveness of our implementation is further demonstrated via a scenario involving multi-objective optimization for model selection.
On the steering qualities of ships

While there have been a number of scholarly studies on the steering of ships, the concerned design practice remains quite experiential.On the other hand, the modern devlopments of communication and control engineering offer us a successful method for the analysis and synthesis of the control of various physical systems.Then, the authors have applied the method to the problem of steering of ships, expecting that it supplies a more rational and practical basis of design works.The present paper is the first report of the work, and consists of three parts a glance of steering problems in the aspect of control engineering, the representation of steering characters of a ship with the transfer function, and the determination of the transfer function from experiments with a free self-propelled model or an actual ship.
Vehicle Dynamics Monitoring and Tracking System (VDMTS): Monitoring Mission Impacts in Support of Installation Land Management

Abstract : The use of military vehicles during training results in soil disturbance and vegetation loss, with subsequent increases in soil erosion rates, sedimentation in streams, habitat degradation, and numerous other secondary effects. The National Environmental Policy Act (NEPA) requires federal agencies to evaluate the implications of their plans, policies, programs, and projects. However, accurate assessment of military training impacts is limited by the technical data available to support the assessments. This project demonstrated the use of the Vehicle Dynamics Monitoring and Tracking System (VDMTS) to assess and predict military vehicle maneuver training impacts for use in land management decision making and NEPA documentation. The objective of this project was to demonstrate and validate the VDMTS system and its components through a series of controlled field studies and live tracking events. A controlled field study was used to demonstrate and validate that the hardware can sufficiently characterize vehicle dynamic properties (turning radius and velocity) to accurately predict site impacts (area impacted, vegetation loss, and rut depth [RD]). A controlled field study was used to demonstrate and validate the accuracy of VDMTS impact models in predicting area impacted, vegetation loss, and RD for a range of vehicles. Field studies tracking live training exercises and subsequent field measurements were used to demonstrate and validate the VDMTS hardware and model performance in predicting site impacts.
Structural Response of Concrete Pavements under Moving Truck Loads

While there has been a great deal of research conducted on concrete pavement performance and deterioration under static loads, only very limited research has been carried out on its dynamic response. Furthermore, opinions differ as to which type of loading (static or dynamic) results in greater values of slab deflection or flexural stress. in the present study, a test section consisting of two jointed reinforced concrete pavement and two jointed plain (unreinforced) concrete pavement was constructed and tested under both quasistatic and dynamic truck loads. Truck load was allowed to wander at predetermined locations on the instrumented pavement at speeds from 5 to 55 km/hr. Strain gauges and displacement transducers were installed along the test section to monitor the pavement responses. Time history responses of the test section were recorded and used to validate a finite-element model developed in the ANSYS platform for further sensitivity analysis study on thoes parameters affecting the dynamic response of concrete pavements. Results indicate the significance of dynamic amplification in concrete pavement design.
Managing Generation X: How to Bring Out the Best in Young Talent

Managing Generation X explains Generation X to its employers. It tunes in to the free-agent mindset that has swept across the entire workforce and serves as the best source of information on a generation that is leaving an indelible mark on the culture of American business. GenXers' willingness to walk away from any unsatisfactory employment relationship launched the staffing crisis that plagues employers today--and has allowed them to become the most entrepreneurial generation in history. Managing Generation X shows employers how to tap this valuable, quirky labor pool. GenXers speak in verbatim interview narratives on almost every page, offering their firsthand experiences as well as concrete advice on how to manage them (and how not to). Through the clear lens of Managing Generation X, we can see the future of work and the workforce of the future.
The local economic impacts of the conversion and re-use of traditional rural working buildings

As well as their intrinsic value, derived from factors such as their historical significance and meaning, redundant traditional rural working buildings have the potential for instrumental value through being economic assets that can accommodate alternative uses. The conversion works and subsequent re-use can impact upon the locality in terms of income generation and employment creation, thereby supporting local economic development. However, the extent of this local economic impact rests on the expenditure patterns of the building owner and user. Drawing on a mix of exogenous and endogenous growth theories, the study investigated the local economic impacts of converting and re-using redundant traditional rural working buildings. The focus was on the local economic impacts that were measurable spatially at the sub-regional level. The fieldwork was conducted with the collaborating partner, the National Trust, and primary data was collected from 30 traditional rural building conversion projects across England. The local economic impact of both the conversion works process and the subsequent re-use of the building were analysed. A modelling framework, drawing on the principles of Keynesian multiplier analysis and Local Multiplier 3 (LM3) modelling, was used to generate a range of estimated income and employment multipliers according to distinguishing characteristics of the buildings. In total, 12 building conversion works and 14 building re-use models were produced. The building characteristics with the largest conversion works income multipliers included: animal housing buildings, listed buildings, and buildings converted for manufacturing purposes. For building re-use, the characteristics with the largest income multipliers included: animal housing buildings, Accommodation and Food Services SIC class and let buildings. A guidance document was produced based on the findings to aid the National Trust with the consideration of local economic impact in future traditional rural working building conversion projects.
A model-based approach to construction of integrated internet CSCW systems

Internet technologies provide ubiquitous infrastructure for Computer Supported Cooperative Work (CSCW) applications, many of which share similar fundamental requirements for coordination, collaboration and information management services. However, there is a lack of structured architectural support for building and maintaining these systems. This thesis is directed towards an investigation of development mechanisms for integrated internet CSCW applications which promote reuse and rapid reconfiguration of CSCW services. A model-based approach to development of internet CSCW systems is proposed, based upon definition of reusable CSCW services and a specification language which describes user interaction with those services within an application context. At runtime, the specification is used to drive a Web user interface generator that dynamically integrates access to required CSCW services. This development approach enables many application changes to be affected quickly at the modelling level, rather than requiring code recompilation. Hence, investigation of the approach was directed towards rapid prototyping and evolutionary maintenance of internet-based CSCW systems. A proof-of-concept system architecture was implemented and applied to a case study cooperative working scenario within a large telecommunications enterprise. Assessment of the implementation found the approach to be useful in reducing iteration cycle times following change requests, thereby enhancing participatory design of CSCW systems. The value of the approach is in increasing communication and feedback between application builders and users by enabling rapid exploration of evolving system designs.
CRYOGENIC DESIGN OF THE ALUHEAT PROJECT

ALUHEAT project aims to build a cryogen-free superconducting induction heater. In this paper, the cryogenic design, which includes heat loss calculations, mechanical analysis, optimization of current leads and description of cooling conditions, is presented in detail. The induction heater consists of two magnets in separate cryostats and the billet to be heated is rotated between the cryostats. Short distance between the magnet and cryostat wall, large forces between the magnets, and the need to rotate the billet create application specific requirements that must be taken into account. Finite element analysis is used to design the cryostat to withstand the forces created by the vacuum and magnetic field. Finally, thermal interface, radiation shield, magnet support and apparatus to rotate the billet are designed and all components assembled into the complete system.
Surge protection of low-voltage AC power by MOV-based SPDs

Protection against surges and transient voltages is an essential part of almost any properly designed electrical and electronic equipment today. And the Metal Oxide Varistor (MOV) is the single most important component in the overwhelming majority of the surge protection devices (SPD) designated to provide such protection. The level of protection provided by the SPD and its duration in service depend very much on the properties of the MOV. We discuss the ways of improvement of three major characteristics of the MOV-based SPDs. These properties are: the clamping (residual) voltage, the ability to withstand a temporary overvoltage, and the longevity. The improvement of these characteristics can be achieved by the selection of the right type of MOVs, by the special MOV packaging technology, and by making the length of wires connecting a SPD to the circuit as short as possible.
Mechanics Analysis of Functional Origamis Applicable in Biomedical Robots

The origami principle of folding planar sheets into functional three-dimensional devices promises a future with increased compactness and reconfigurability of biomedical robots. To inspire new origami-based biomedical robots, we highlight two categories of origami patterns that are applicable to build compact actuators, deployable stents, and minimally invasive surgery devices. Due to the requirements in system integration, biocompatibility, and payload capability, the conventional paper-based origamis are converted to physical robots by replacing the zero-thickness facets and zero-width folds with thick panels and flexible hinges, respectively. Therefore, the physical origami-based robots become inhomogeneous, making it more complex and challenging to analyze their mechanics. So far, no such model can analyze the mechanics of any physical origami robot. Herein, we propose a computational model that discretizes the continuous structures into truss and spring elements to fulfill this goal. Based on the model, we simulate the identified origami structures under various boundary conditions to investigate their application in biomedical scenarios. This article is expected to accelerate the design iteration of new functional biomedical origami robots.
Electric vehicles revisited: Costs, subsidies and prospects

This paper compares the lifetime costs of like internal combustion and battery electric vehicle pairs on the market in France and finds that relative costs of electric vehicles remain elevated for consumers and even more so for society under current conditions and typical use scenarios. It also suggests that in those cases where electric vehicles do already compare favourably to internal combustion engine powered cars, subsidies may be superfluous. In the future, a number of simultaneous changes in battery electric vehicles (BEV) and ICE technology, fiscal regimes and prevailing energy prices might reduce and even eradicate the consumer cost differential in favour of ICEs. Reducing the social cost differential between BEVs and ICEs seems more challenging under most scenarios and, when successful, raises the question of how much should society seek to subsidise BEVs in instances where there begins to be a business case for them.
Memory Mapped Files on MINIX

Most modern operating systems provide support for memory mapped files, which allow users to treat files using pointer arithmetic, thus avoiding the usage of expensive system calls. MINIX 3 is a UNIX-like, recently developed operating system that recently got virtual memory support, opening the opportunity for memory mapped files. This article describes the design and implementation of memory mapped files on MINIX, and highlights the specific details of MINIX’s microkernel particularities. keywords: MINIX, mmap, memory mapped files