Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of Stator Turn-to-Turn Fault and Stator Voltage Unbalance Fault Using ANFIS

An induction machine is a highly non-linear system that poses a great challenge because of its fault diagnosis due to the processing of large and complex data. The fault in an induction machine can lead to excessive downtimes that can lead to huge losses in terms of maintenance and production. This paper discusses the diagnosis of stator winding faults, which is one of the common faults in an induction machine. Several diagnostics techniques have been presented in the literature. Fault detection using traditional analytical methods are not always possible as this requires prior knowledge of the exact motor model. The motor models are also susceptible to inaccuracy due to parameter variations. This paper presents Adaptive Neuro-fuzzy Inference system (ANFIS) based fault diagnosis of induction motors. The distinction between the stator winding fault and supply unbalance is addressed in this paper. Experimental data is collected by shorting the turns of a health motor as well as creating unbalance in the stator voltage. The data is processed and fed to an ANFIS classifier that accurately identifies the faulted condition and unbalanced supply voltage conditions. The ANFIS provides almost 99% accurate and computationally efficient output in diagnosing the faults and unbalance conditions. DOI: http://dx.doi. org/10.11591/ijece.v3i1. 1854
Processing of images based on blind evaluation of noise type and characteristics

Most modern methods of image processing exploit a priori knowledge or estimates of noise type and its characteristics obtained in blind or interactive manner. However, the results of noise type blind determination can be false with some hopefully rather small probability. Similarly, the obtained estimates of noise parameters are characterized by certain accuracy. Clearly, false decisions and errors of estimates influence performance of image processing techniques that exploit the information on noise properties obtained in a blind manner. In this paper, we consider some aspects of such influence for several typical applications.
EXAMINATION OF THE LBM IN SIMULATION OF MICROCHANNEL FLOW IN TRANSITIONAL REGIME

The gas flows in micro-electro-mechanical systems possess relatively large Knudsen number and usually belong to the slip flow and transitional flow regimes. Recently the lattice Boltzmann method (LBM) was proposed by Nie et al. in Journal of Statistical Physics, vol. 107, pp. 279–289, in 2002 to simulate the microchannel and microcavity flows in the transitional flow regime. The present article intends to test the feasibility of doing so. The results of using the lattice Boltzmann method and the direct simulation Monte Carlo method show good agreement between them for small Kn (Kn = 0.0194), poor agreement for Kn = 0.194, and large deviation for Kn = 0.388 in simulating microchannel flows. This suggests that the present version of the lattice Boltzmann method is not feasible to simulate the transitional channel flow.
Role of Dissolution Intermediates in Promoting Oxygen Evolution Reaction at RuO2(110) Surface

RuO2 is one of the most active electrocatalysts toward oxygen evolution reaction (OER), but it suffers from rapid dissolution in electrochemical environments. It is also established experimentally that corrosion of metal oxides can, in fact, promote catalytic activity for OER owing to the formation of a surface hydrous amorphous layer. However, the mechanistic interplay between corrosion and OER across metal-oxide catalysts and to what degree these two processes are correlated are still debated. Herein, we employ ab initio molecular dynamics-based blue moon ensemble approach in combination with OER thermodynamic analysis to reveal a clear mechanistic coupling between Ru dissolution and OER at the RuO2(110)/water interface. Specifically, we demonstrate that (i) dynamic transitions between metastable dissolution intermediates greatly affect catalytic activity toward OER, (ii) dissolution and OER processes share common intermediates with OER promoting Ru detachment from the surface, (iii) the lattice oxygen .
On cost-efficient optimisation of universal mobile telecommunications system access subsystem using extended evolutionary heuristic algorithm

Tremendous increase in mobile subscribers, demand for real-time interactive applications of voice, text, multimedia data and also to provide QoS attracts researchers towards the wireless cellular mobile networks. This necessitates, cellular network monitoring and cost optimisation a non-trivial problem that needs continuous scrutinise and improvement. In this study, we propose a categorisation strategy that eases the approach of optimising the access subsystem of universal mobile telecommunications system UMTS cellular network problem. Further, we use mixed integer programming model for optimisation of layered cellular access network and is a NP hard problem. In order to find feasible solution, we propose an extended evolutionary heuristic algorithm that uses powerful techniques like reassignment, redistribution and shuffle tolerance limit. Finally, we show that our proposed heuristic algorithm outperforms other conventional algorithm for both smaller networks and larger networks.
Preparation of Activated Carbon from Mangrove Waste by KOH Chemical Activation

In this study, Mangrove (Rhizophora mucronata) fruit waste which was generated from water-based extraction of natural dyes from this fruit was used as raw material in activated carbon preparation. Carbonization of chopped Mangrove fruit waste was conducted in a batch pyrolyzer for slow pyrolysis at temperature range of 300°C to 335°C and atmospheric pressure. The produced carbon was then soaked with potassium hydroxide (KOH) solution for 24 hours before activation process in an electrical furnace at 400°C for an hour. Effect of KOH concentration on physical characteristics of activated carbon was investigated in terms of moisture content, ash content, surface area, pore diameter, iodine number, and surface morphology. It was observed that the surface area and pore diameter increased with increasing the KOH concentration. Soaking the carbon in 2.5 M KOH provided the highest surface area and pore diameter of activated carbon, which were 1,920.6 m2/g and 5.52 µm, respectively. Also, the iodine number of 1,540.13 mg/g was obtained in correspond to the adsorption capacity.
Factorial Approach to Assessment of GPU Computational Efficiency in Surrogate Models

Surrogate models are very useful to replace very accurate but time-consuming huge data numerical models. The process of construction and optimization of surrogate models may require large computational power. It may be delivered by multi-core CPU or by massively multi-core GPGPU. This paper presents a consistent approach to make quantitative assessment of the computational efficiency with different hardware configurations: with one and multi-core CPU and with GPGPU card. The design of experiments factorial approach is used to analysis of the obtained data. The linear main effects model with two-way interaction is identified. The results show that the investment to multi-core CPU and GPGPU cards simultaneously is impractical due to negligible effects of CPU efficiency which is masked by dominated GPGPU performance.
Copyright and multimedia classroom material: a study from Japan

This paper outlines the knowledge and attitudes that 57 language teachers in Japan have regarding copyright laws in relation to using external materials in the classroom. A 13-item online survey was distributed, and semi-structured interviews were conducted, to ascertain what teachers know about Japanese copyright laws, and the teachers' resultant attitudes and actions regarding these laws. After introducing the theoretical background to the problem, this paper delineates how the survey was carried out and then presents the data obtained. By examining themes culled from the survey and the interviews, three distinct categories were found: participants' knowledge about copyright laws; participants' intentions and actions in using external materials; and participants' attitudes toward copyright laws. The results indicate that while most teachers are aware of the existence of copyright laws, they do not act in a manner that suggests they are particularly concerned about them. That is, teachers in Japan use copyrighted material because it suits their lesson planning, and do not always consider the consequences of their actions. Further, the researchers demonstrate that teachers view copyright laws as being too vague and strict, ultimately affecting teachers' actions when producing and using materials. The study reveals the need for educational institutions in Japan to take the appropriate steps in providing adequate copyright law training for their teachers.
Tecnologia de informação para apoio ao ensino superior: O uso da ferramenta moodle por professores de ciências contábeis

The aim of this research is to identify and assess the main features seen in the use of Moodle technological innovation, taking into account the aspects that may contribute to its adoption as a tool to support teachers in higher education in Accounting courses. The study on the adoption of Moodle was based on the Diffusion Theory, which asserts the existence of characteristics or attributes that directly affect the adoption of technological innovations. The study sample consisted of 31 professors of the undergraduate course in Accounting at the University (“Omega”) of Sao Paulo, which has about 35,000 students. The collected data were analyzed by means of Structural Equation Modeling, the Partial Least Square (PLS) technique and smartPLS® software. The results indicate that Experimentation, Usability and Voluntary Use of the tool were regarded as determinants of the adoption of Moodle. Its noticeable improvement extends to services, to teaching-learning processes and to professor-student interaction when accessing knowledge and information. Such improvements, in the view of professors, were difficult to provide before the adoption of Moodle.
Finding the needle

Abstract The phenomenal growth of digital resources on the Internet, their lack of organization, and the deficiency of the search tools currently available, make searching for information on the Internet comparable to looking for the proverbial “needle in a haystack. ” Developing more effective means of resource discovery and retrieval on the Internet is increasingly necessary. Dublin Core (DC), a newly developed metadata set for resource description, has the potential for providing more effective resource discovery. One major obstacle remains, however: the lack of a systematic approach to subject access. This paper discusses the need for applying controlled vocabularies to enhance the discovery of document-like objects on the Internet and outlines some options for such a process in a distributed environment, with an emphasis on the enhancement of DC with controlled vocabularies.
Hybrid control for robotic manipulators

Abstract The proportional-integral-derivative (PID) controller is still the most dominant form of feedback control in use because of its simplicity and efficiency to produce powerful solutions for most cases of industrial processes. However, the PID controller may be inadequate for nonlinear and non-minimum phase systems since the design of the controller is based on constant gain values. On the other hand, many advanced control methods have been proposed to overcome the limitations of the PID controllers. These control methods have highly dynamic structures to minimize the resultant error by optimizing the control signal, but stability is their common problem. This study integrates the classical proportional-derivative (PD) control with the self-tuning adaptive control in order to have a stable and dynamic control structure. The integral part (I) of PID is replaced by explicit self-tuning control to improve the performance of the proposed controller. Some experimental results on a hydraulic robot are presented for validation of the proposed concept of hybrid control.
A dynamically reconfigurable token-based optical backplane

We present a 2D token-based dynamically reconfigurable smart pixel array (DRSPA) for intelligent optical backplanes. The DRSPA has the ability to reconfigure both the location and the size of the backplane optical communication channels (between 8, 16, 24, and 32 bits), dynamically enhancing the backplane throughput under light backplane load. This functionality is realized through the use of a 2D token, a 4 clock cycle backplane header, and a distributed control environment.
Web 2.5: The Symbiotic Web

A new form of symbiosis is developing on the Web. The current ecommerce model, which relies heavily on the supply of ‘free’ content, has made individuals and commercial enterprises mutually dependent: enterprises have built business models reliant on a currency of personal data, while individuals expect free access to services supplied by search engines, email systems and social networking sites, and media services such as YouTube and Hulu. These ‘free’ services use personal data to generate revenues through targeted advertising, profile building, and the direct brokering of personal data. The symbiosis is essentially benign – it lies behind many recent positive developments. Both users and the businesses that provide online services benefit. Nevertheless, there are significant risks associated with this symbiotic nature that need to be addressed. This paper will describe the model that is the Symbiotic Web, explain the risks associated with it, and suggest possible approaches to address them.
A robust eye detection method based on multi-neighborhood block with weight and SVM on gray image

Eye detection plays a vital role in intelligent recognition system. In this paper, a novel of robust and fast eye detection algorithm is proposed. The process of eye detection can be divided into two stages. Firstly, coarse eye candidates are extracted based on multi-neighborhood blocks with weight; Secondly, eye candidates validation is testified on support vector machine (SVM). Data from different face databases such as self-built, JAFFE, FERET are used to demonstrate the effectiveness and robustness of the proposed method.
A Novel MAC Protocol with Different QoS for WMSNs Materials

The adoption of wireless multimedia sensor networks (WMSNs) by applications that require complex operations, ranging from health care to industrial monitoring, has brought forward a new challenge of fulfilling the quality of service (QoS) requirements of these applications. Since the requirements depend on the applications, it would be difficult to design a single MAC that satisfies the wide range of applications. This calls for a suitable MAC protocol capable of achieving application-specific QoS. In this paper, we have proposed a novel MAC protocol with different QoS for WMSNs, which not only adapts to application oriented QoS, but also attempts to conserve energy without violating QoS-constraints. Simulation results demonstrate that the proposed protocol is capable of providing a bound latency including real-time and better throughput, at the cost of reasonable energy consumption, in comparison to other existing MAC protocols.
Performance limits of a closed-loop, micro-g silicon accelerometer with deposited rigid electrodes

Silicon micro-g accelerometers are of increasing demand for the new generation of lightweight low cost inertial measurement units (IMUs) and microgravity measurement systems. This paper presents modeling and noise analysis of a closed-loop micro-g accelerometer with deposited sense and feedback electrodes, and direct digital output. Modeling and noise analysis have been essential to identifying the performance limits in addition to design and development of the accelerometer. The paper first briefly reviews the sensor and its interface electronics, followed by the complete time domain modeling and simulation of the closed-loop electromechanical accelerometer. The simulation results show achievement of less than 10 /spl mu/g direct digital output in a /spl plusmn/1 g range, which is equivalent to 17.6 bits dynamic range. Also, the mechanical and electrical noise analysis indicate a noise floor of 0.72 /spl mu/g//spl radic/Hz without vacuum packaging.
An implementation of multi-microphone dereverbera-tion approach as a preprocessor to the word recogni-tion system

A multi-microphone sub-band selection method has been proposed for dereverberation with the assumption that the transfer function between the sound source and each micro-phone can be calibrated. In this paper, the dereverberation system is implemented for a speaker dependent word recognizer as a preprocessor. The degradation of the recog-nition performance was investigated under three reverberation conditions. The prepro-cessor is evaluated by the recognition rate of using different numbers of microphones and sub-bands. It is found, when the distance between the sound source and the microphone is about 2.65m and the reverberation times of the enclosure are 0.55, 0.68, 0.86s, the recognition rates of the reverberated speech decreased by 12.8, 13.6, 14.5%, respectively, compared with the original clean speech. The results showed that the recognition rates were improved by 11.3, 12.6, 12.3%, respectively, by introducing the dereverberation preprocessor.
Direction for element managers and network managers

In the past, each new network element of a wireless network had a corresponding management system to provide management capabilities. Each of these management systems had a different user interface, employed a different computing platform, and typically managed one type of network element. The total O&M system was the sum of these independent resources, consuming partial solutions that made network management tasks inefficient, complex, time consuming, and expensive to administer. Large operations costs borne from these inefficiencies were once buffered by large cellular operator profits. With the introduction of PCS, operators became extremely cost conscious and sought to eradicate these large costs. Additionally, wireless service providers moved into a mixed vendor environment, where network elements manufactured by several vendors are used, so they could no longer afford different management systems for each network element. In today's environment, a wireless service provider who can provide better service quality at the lowest price will be the ultimate winner. The key to providing better service quality at the lowest price is to have efficient network management. As the wireless industry strives to push wireless prices on a par with wireline, the necessity for reduced network operation and management costs takes on increasing importance.
A Maximum-Likelihood Sequence Estimator with Decision-Feedback Equalization

A decision-feedback equalizer (DFE) is proposed as a prefilter which limits the complexity of a maximum-likelihood sequence estimator (MLSE) implemented by the Viterbi algorithm (VA) for channels having a long impulse response. By imbedding a DFE into the structure of the MLSE, the overall impulse response of the system is truncated to a short duration. With this practical receiver, a compromise may be made between performance and complexity by properly choosing the duration of a desired impulse response. A technique is also developed to estimate the performance of the receiver numerically, taking into account the effect of incorrect decision feedback on the VA. Analysis and computer simulation over a single-pole channel show that the proposed scheme can reduce the complexity of the MLSE while retaining much of its performance advantages.
Extensions to MPLS Networking for Enhanced Multiplatform Multicasting Services

Abstract This paper addresses the required extensions to the MultiProtocol Label Switching (MPLS) [1] signaling protocols (i.e., Resource Reservation Protocol [2] with Traffic Engineering extensions (RSVP-TE) [3] and Label Distribution Protocol (LDP) [4]) to support effective MPLS network multicasting functionalities for various Internet protocol (IP) based multicasting routing algorithms, such as, Distance Vector Multicasting Routing Protocol (DVMRP), Multicast Extensions for Open Shortest Path First (MOSPF), Protocol Independent Multicast-Dense Mode (PIM-DM), Protocol Independent Multicast-Sparse Mode (PIM-SM), and Core Based Tree (CBT). The multicasting extensions for MPLS networking proposed in this paper will not only enable the MPLS networking layer to support full multicasting services corresponding to the IP based multicasting algorithms, but will also enable the traffic engineering (TE) advantages of MPLS to support the multicasting operations [1].
Pedestrian Detection Based on Multi-Stage Unsupervised Learning

In order to implement effective detection and utilize large numbers of unlabeled samples,a pedestrian detection method based on Unsupervised learning was presented.We apply deep learning to human detection to acquire pedestrian features with unlabeled data set.The detection method uses unsupervised convolution sparse auto-encoders to train features at all levels from the data set,then trains classifier with end-to-end supervised method.Additionally,we fine-tune the features in a supervised way.Experiments show that the method approach an state-of-art result on all data set.
The Preprocessing Method for Software Reliability Failure Data

The software reliability failure data is the foundation of the software reliability’s quantitative evaluation based on the failure data, and it has an important influence on the accuracy of reliability evaluation. But there are always noises in the original software reliability failure data and make the reliability evaluation accuracy affected. This paper put forward the collecting method of reliability failure data and data preprocessing method including data cleaning and data analysis method, which based on the analysis of the importance and the source of failure data in the software reliability testing and the classification of software failure data. Finally through an example, it displayed the reduction of data noises and the promotion of data quality which produced by the preprocessing methods.
Metrics for distributed C/sup 3/ systems: Rationale and approach

The empirical nature of distributed computing techniques used in developing Command, Control, and Communication (C/sup 3/) systems requires a comprehensive definition, implementation, and usage of metrics to ascertain how the system meets its functional and performance requirements. The additional objectives of adaptive fault-resistance and resource management need new metrics that are dynamically implementable. The authors present rationale/needs of metrics and an approach to their development and usage. This approach is based upon a framework that covers various aspects of metrics including usage across system life-cycle, metrics views across system functions and levels of abstraction, and instrumentation architecture/tools for implementation.
Kuidas määrata eesti keele sõnavara tundetoone

Artiklis antakse ulevaade sonavarauksuste tundetoonide maaramise teoreetilistest alustest ja praktilistest voimalustest. Esmalt kirjeldatakse ulesande olulisust, siis teoreetilisi lahte-eeldusi ja vaetakse neist tulenevaid metoodilisi voimalusi. Juhtumianaluusina kirjeldatakse eesti keele pohisonavara sonastiku marksonastiku tundetoonide hindamise metoodikat, katse labiviimist ja tulemusi ning vorreldakse neid varasemate eesti keele emotsioonisonavara uurimustega. Artikkel naitab, kuidas eesti lingvistika kontekstis uudset uleannet lahendada metoodiliselt voimalikult korrektselt, kuid arutleb ka kusitavuste ja perspektiivide ule. DOI: http://dx.doi. org/10.5128/ERYa8.17