Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Research on the Characteristics of Radiator Batteries of Oil Immersed Power Transformers

This paper presents the results of experimental research on radiator batteries for cooling oil immersed power transformers. A special test setup was built, consisting of a tank and heaters, simulating the active part of the transformer, and a radiator bank, with the pump in the pipe connecting the tank and the radiators. Fans were mounted below (vertical blowing) and on the side (horizontal blowing). The main parameters measured include temperatures, oil flow, and pressures in characteristic positions. The motivation behind the experimental research lies in the somewhat higher discrepancy between oil flows through the radiators calculated using detailed thermal-hydraulic model from the results of heat run tests in the case of forced oil flow and the application of the radiators for the outer cooling. Since the calculated oil flows were higher than the values obtained from the heat run test, it was obvious that there are some additional pressure drops along the oil path. The hypothesis is that these pressure drops appear in the top and bottom head of the radiators. Corresponding measurements, analysis, and steps taken to fine tune the detailed thermal-hydraulic model are presented in this paper.
A 28-GHz CMOS Linear Power Amplifier With Low Output Phase Variation Over Dual Power Modes

This letter presents a 28-GHz CMOS linear power amplifier (PA) for 5G beamforming front-end that has dual power modes. The proposed PA consists of parallelly connected cascode cells, which are used to linearize the PA in the high-power mode (HPM). Power modes are implemented by splitting the cascode cells again. To have a low-power mode (LPM), half of the cells are turned off while halving the supply voltage simultaneously. This concurrent change makes it possible to keep the phase of the PA unchanged over two power modes while the dc power consumption is reduced by about half in the LPM. In addition, the good linearity is maintained in the LPM. The PA has gains of 18/14 dB, saturated output powers of 18.5/12.2 dBm, P1dBs of 16.5/10.2 dBm, and peak PAEs of 27.3%/17.8% with a 28-GHz continuous wave (CW) signal. The maximum linear output powers that satisfy EVM < −25 dB are 7.5/1.5 dBm with an 8-CC $\times100$ -MHz 64-QAM OFDM signal.
Physicochemical Properties of Pectin Extracted from Selected Local Fruits By-Product

Pectin was extracted from selected local fruits by-product, which was a banana, mango, and papaya peel by using the citric acid solution as a solvent. The primary objectives of this study were to extract pectin from selected local fruits by-product as well as, to determine and compare the physicochemical properties of extracted pectin to that of commercial pectin. Pectin extracted from mango peel gave the highest yield significantly (15.4%) as compared to banana peel pectin (14.47%) and papaya peel pectin (12.77%). The physicochemical properties of pectin obtained were compared with commercial pectin. These include color, degree of esterification (DE), ash, moisture, solubility, and viscosity. The color measurement of pectin showed it has a significant difference between other types of pectin. The color parameter L (lightness) showed commercial pectin had the highest value of 89.17 significantly, yet significantly the lowest of a* (redness) value of 1.72. Hence, thecolor parameter b* (yellowness) showed that the papaya peel pectin was significantly the highest (17.65) as compared to other types of pectin. All pectins in this study were of high methoxyl pectin as the DE was found to be more than 50%. No significant difference was noted for DE between commercial pectin and both banana and mango peel pectin. As for the ash content, banana peel pectin has significantly the highest ash content of about 4.60% compared to other types of pectin. Moisture content also showed a significant difference between all kinds of pectin. Solubility analysis also indicated significant difference between all types of pectin in this study with commercial pectin to possess the highest solubility (98.37%) as compared to other types of pectin. No significant difference was noted for viscosity between commercial pectin and mango peel pectin. Based on this study, it can be concluded that pectin extracted from mango peel possess high chances to be exploited and commercialized as most of the physicochemical analysis carried out showed no significant difference to that of commercial pectin.
Cross-Gramian Model Reduction Approach for Tuning Power System Stabilizers in Large Power Networks

Poorly damped inter-area modes of oscillations represent a major concern to power system operation since they detain the power transfer capability of transmission networks. This situation becomes more stringent as the tie-lines are heavily stressed and/or large amounts of renewable energy resources are installed. To overcome this issue, a detailed mathematical model is proposed in this paper to reduce the linearized model of a large power system using the cross-Gramian technique. The presented approach divides the system into a study area which contains one generation unit with installed power system stabilizer (PSS) and an external one which comprises the rest of generation units in the system. Model order reduction is only applied to the external area with the objective of maintaining the characteristics of the original model. Meanwhile, the dynamics of the study area are preserved to provide the required damping through the designed PSS. In addition, an online tuning methodology is also presented to provide robust damping performance in response to changes in the system operating conditions. The deployed cross-Gramian model order reduction alleviates the computational burden and time associated with the online PSS tuning when original power system models are used. The effectiveness of the proposed approach is tested using the New-England 39-bus system in addition to another practical system which resembles the Northern Regional Power Grid India test system.
Determinants of information and digital technology implementation for smart manufacturing

This study aims to identify and analyse factors that determine the implementation of Information and Digital Technologies (IDT) of smart manufacturing. By performing a state-of-the-art and content-driven review of literature, consulting a group of experts from academia and industry, and implementing interpretive structural modelling methodology, the study identified eleven enabling factors and mapped the contextual interrelationships among them. The study further explained the complex precedence relationships that exist among determinants of smart manufacturing IDT adoption. Results showed that perceived benefits and management support are the two driver determinants that act as stepping-stones in the implementation of smart manufacturing IDT. Operations technology maturity and cybersecurity maturity were found to be the dependent determinants of smart manufacturing IDT implementation and highly driven by the linkage and driver determinates. The findings are expected to assist academicians, industrialists, and the policymakers with achieving a detailed understanding of smart manufacturing transformation processes, and conditions that facilitate the manufacturing digitalisation in the Industry 4.0 era.
Analysis Of Implementation Of Dynamic Filing Information System (SIKD) With Technology Acceptance Approach Model (TAM) At The University Of Jember

: The purpose of this study is to find out and analyze the testing of TAM theory in assessing user acceptance of the implementation of dynamic filing information systems and analyzing variables that influence the acceptance of the use of dynamic filing information system applications at the University of Jember. This research is a type of research using primary data in the form of a questionnaire. Determination of the sample in this study using purposive sampling with the criteria of users who have already registered or medically positioned incoming and outgoing letters on the application of dynamic filing information systems at the University of Jember. The method of data analysis in this study uses descriptive statistical analysis methods with the research hypothesis using Partial Least Square (PLS) with Smart Partial Least Square (SmartPLS) statistics. The results showed that experience variables had a significant effect on perceived ease of use, experience did not affect perceived usefulness, perceived ease of use had a significant effect on perceived usefulness (perceived usefulness) perceived ease of use has a significant effect on attitude towards behavior, perceived usefulness has a significant effect on attitude to use (attitude towards behavior), perceived usefulness has no effect towards of use behavioral interest, attitude towards behavior has a significant effect on interest in use (behavioral intention), interest in user behavior (behavioral intention os use) is significant towards real users (Actual System Usage) on the implementation of stem of dynamic filing information at the University of Jember
An Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in Scotland

Domestic heating accounts for 64% of domestic energy usage in the UK, yet there are currently very few viable options for low carbon residential heating. The government’s carbon plan commits to improving the uptake of district heating connections in new build dwellings, but the greatest carbon saving can be made through targeting traditional housing stock. This paper aims to quantify the potential carbon and energy savings that can be made by connecting a traditional tenement building to a district heating scheme. The study uses a transient system simulation tool (TRNSYS) model to simulate the radiator system in a tenement block and shows that a significant benefit can be achieved by reducing the supply temperature; however, the minimum supply temperature is drastically limited by the building condition. Therefore, the study also critically compares the benefits of a lower supply temperature against minor refurbishments. It was found that improving building conditions alone could offer a 30% reduction in space heating energy consumption, while building improvements and integration of a river source heat pump could offer almost a 70% reduction. It is the recommendation of this study that a dwelling be improved as much as economically possible to achieve the greatest carbon and energetic savings.
Da ğõtõk ve Paralel Görüntü Đ leme Đçin Hadoop Eklentisi Hadoop Plugin For Distributed and Parallel Image Processing

Hadoop Distributed File System (HDFS) is widely used in large-scale data storage and processing. HDFS uses MapReduce programming model for parallel processing. The work presented in this paper proposes a novel Hadoop plugin to process image files with MapReduce model. The plugin introduces image related I/O formats and novel classes for creating records from input files. HDFS is especially designed to work with small number of large size files. Therefore, the proposed technique is based on merging multiple small size files into one large file to prevent the performance loss stemming from working with large number of small size files. In that way, each task becomes capable of processing multiple images in a single run cycle. The effectiveness of the proposed technique is proven by an application scenario for face detection on distributed image files. 1. GĐRĐ�
Wilkinson filtering power divider using coupled lines and T‐shaped stub

A new Wilkinson filtering power divider (PD) with high performance has been presented. By employing four pairs of parallel‐coupled lines and a T‐shaped stub to construct the filtering PD, sharp roll‐off skirts and high stopband rejections can be achieved with three transmission poles and six transmission zeros. Theoretical deduction is presented to verify the proposed structure. For demonstration, a filtering PD example with center frequency of 2 GHz and 3‐dB fractional bandwidth of 48% is fabricated and measured. It is shown that the measured minimum insertion loss within the passband is less than 0.4 dB. The lower stopband rejection of over 17 dB and upper stopband rejection of more than 23 dB from 2.7 to 4.9 GHz can be achieved. The measured isolations between two output ports are greater than 20 dB within the passband.
Scanning Process in Digitization of Records and Archives Materials

This academic writing is all about the scanning which is the types of scanning and types of scanners. There are several types of scanner that have been stated in this academic writing which is flatbed Scanners, Sheet-Fed Scanners, Integrated Scanners , Drum Scanners and Portable Scanners. This academic writing also have been discuss about the hardware and software that been used in the scanning process. There are also several issues or problems about the scanning that have been stated in this paper. There are also a few example of scanning resolution, In addition, there are also explanation about the scanning process and new technology in the scanning.
Sparse Signal Representation in Digital and Biological Systems

Title of dissertation: SPARSE SIGNAL REPRESENTATION IN DIGITAL AND BIOLOGICAL SYSTEMS Author: Matthew Guay, Doctor of Philosophy, 2016 Dissertation directed by: Professor Wojciech Czaja Department of Mathematics Theories of sparse signal representation, wherein a signal is decomposed as the sum of a small number of constituent elements, play increasing roles in both mathematical signal processing and neuroscience. This happens despite the differences between signal models in the two domains. After reviewing preliminary material on sparse signal models, I use work on compressed sensing for the electron tomography of biological structures as a target for exploring the efficacy of sparse signal reconstruction in a challenging application domain. My research in this area addresses a topic of keen interest to the biological microscopy community, and has resulted in the development of tomographic reconstruction software which is competitive with the state of the art in its field. Moving from the linear signal domain into the nonlinear dynamics of neural encoding, I explain the sparse coding hypothesis in neuroscience and its relationship with olfaction in locusts. I implement a numerical ODE model of the activity of neural populations responsible for sparse odor coding in locusts as part of a project involving offset spiking in the Kenyon cells. I also explain the validation procedures we have devised to help assess the model’s similarity to the biology. The thesis concludes with the development of a new, simplified model of locust olfactory network activity, which seeks with some success to explain statistical properties of the sparse coding processes carried out in the network.
Affinity Propagation-based Clustering For Data Streams

Clustering data stream is an active research area that has re cently emerged to discover knowledge from large amounts of continuously generated data. Several clustering algorith ms have been proposed for static data. Nevertheless, data stream clustering imposes several challenges to be addressed, such as dealing with dynamic data that arrive in an online fashion, capable of performing fast and incremental processing of data objects, suitably a ddressing time and memory limitations, and how to handle the evolving patterns that are important characteristics of streaming d ata with dynamic distributions. In this paper, we propose an algorithm that extends Affinity Propagation (AP) to handle evolving data st eam with dynamic distribution. Affinity Propagation was pro posed as a clustering algorithm extracted a set of exemplars that best represent the dataset using a message passing method. We present a semi- supervised clustering technique (SSAP) that incorporates labeled exemplars into the AP algorithm to deal with changes in the data distribution, which requires the stream model to be updated as soon as possible. Experimental results with state-of-th e-art data stream clustering methods demonstrate the effectiveness and effic iency of the proposed method.
Atom Probe Tomography for Catalysis Applications: A Review

Atom probe tomography is a well-established analytical instrument for imaging the 3D structure and composition of materials with high mass resolution, sub-nanometer spatial resolution and ppm elemental sensitivity. Thanks to recent hardware developments in Atom Probe Tomography (APT), combined with progress on site-specific focused ion beam (FIB)-based sample preparation methods and improved data treatment software, complex materials can now be routinely investigated. From model samples to complex, usable porous structures, there is currently a growing interest in the analysis of catalytic materials. APT is able to probe the end state of atomic-scale processes, providing information needed to improve the synthesis of catalysts and to unravel structure/composition/reactivity relationships. This review focuses on the study of catalytic materials with increasing complexity (tip-sample, unsupported and supported nanoparticles, powders, self-supported catalysts and zeolites), as well as sample preparation methods developed to obtain suitable specimens for APT experiments.
Entropy production in quantum Brownian motion

We investigate how to coherently define entropy production for a process of transient relaxation in the quantum Brownian motion model for the harmonic potential. We compare a form, referred to as ‘poised’ (P), which after non-Markovian transients corresponds to a definition of heat as the change in the system Hamiltonian of mean force, with a recent proposal by Esposito et al (ELB) based on a definition of heat as the energy change in the bath. Both expressions yield a positive-definite entropy production and they coincide for vanishing coupling strength, but their difference is proved to be always positive (after non-Markovian transients disappear) and to grow as the coupling strength increases. In the classical over-damped limit the ‘poised’ entropy production converges to the entropy production used in stochastic thermodynamics. We also investigate the effects of the system size, and of the ensuing Poincaré recurrences, and how the classical limit is approached. We close by discussing the strong-coupling limit, in which the ideal canonical equilibrium of the bath is violated.
Efficient power control scheme in IEEE 802.11-based wireless mesh networks

For power efficiency and capacity in IEEE 802.11-based wireless mesh networks, an efficient power control scheme is proposed in single-channel wireless networks. With the proposed power control scheme, nodes can decide their transmission power level and whether they can transmit data on the information they exchanged in the ad hoc traffic indication message (ATIM) window. Simulation results prove the effectiveness of our approach and demonstrate that the proposed scheme is effective and significantly improves energy gains and the quality of service (QoS) in terms of throughput and end-to-end delay metrics.
Seamless Image Stitching Method Based on ASIFT

A seamless image stitching method based on Affine-SIFT(ASIFT) algoithm is proposed in this paper.It implements automatically and makes up the disadvantages of traditional image registration methods under greatly different scale,parallax and illumination conditions.It adopts ASIFT algorithm for the detection of feature points,which is robust to the case of strong affine.Then it does the extraction and matching of feature points.With Random Sample Consensus(RANSAC) algorithm,it finds the accurate initial transform matrix through iteration,and accomplishes the unity of coordinate transformation between two images.The seamless image stitching is completed with smoothing algorithm.Experimental results demonstrate that this method has better performance than the method based on SIFT.
Application des techniques de décodage itératif a la correction de l’interférence entre symboles

Le recepteur propose est applicable aux systemes de communications numeriques sur canal a trajets multiples. Il permet de traiter de facon efficace l'interference entre symboles (IES) en utilisant un principe iteratif derive de celui des turbo-codes [1]. La transmission est renforcee a l'aide d'un code correcteur de type convolutif. Le recepteur global est constitue de modules elementaires representant les differentes iterations. Chacun de ces modules est compose d'un detecteur de symboles pour le traitement de l'IES, suivi d'un decodeur de canal permettant de corriger les erreurs de transmission et de creer une information extrinseque qui est exploitee par le module suivant. Afin de fonctionner de facon optimale, le detecteur et le decodeur fournissent des decisions ponderees. Les resultats de simulation montrent que l'IES peut etre totalement annulee sur canal gaussien et fortement reduite sur canal de Rayleigh.
Designing Quality Student Reports in an Agroecosystems Analysis Course

Introduction One integrative requirement of a week-long summer Agroecosystems Analysis course hosted by four universities from three states is a final student team document (Wiedenhoeft et al., 2003). After visiting farms and interviewing farmers in the Upper Midwest, teams of three to four students prepare an initial oral presentation for instructors and peers in the learning community, followed by a final written analysis addressing the sustainability of each farm. After extensive group interaction to plan their written reports, the teams return home and communicate electronically for the next month to craft a final written team document. In their written reports the groups explain their methods of evaluation, discuss their results, and present their conclusions about the sustainability of each farm. Although they are free to choose their own parameters, the groups often assess sustainability in terms of productivity, economics, environmental impacts and social viability for farms, families and communities (Rickerl and Francis, 2004).
Europeana communication bug: which intervention strategy for a better cooperation with Creative Industry?

In aggiunta all'obiettivo principale di diffondere la conoscenza sui beni culturali, Europeana e diversi MAB (Musei, Archivi e Biblioteche) sono impegnati nello sviluppo di nuove strategie volte a rendere i contenuti digitali riusabili dalle imprese creative. Cio nonostante, tali iniziative hanno successo solo in casi sporadici, dal momento che un approccio comunicativo scorretto puo minare gli sforzi fatti in questo senso. L'articolo descrive un caso di studio che propone interconnessioni efficaci tra Europeana, MAB e imprese creative nel contesto della promozione e del miglioramento del patrimonio digitale sul cibo e le bevande.
Measurement of Triaxial Magnetocardiography Using High Sensitivity Tunnel Magnetoresistance Sensor

Three-axis components of magnetocardiography (MCG) signals are measured with a high sensitivity tunnel magnetoresistance (TMR) sensor in this paper. From the measurement result, the R-wave and QRS-complex of MCG associated with the cardiac cycle are clearly observable without need of averaging. The T-wave is at the noise level and the weaker P-wave is drowned in noise. It is a great progress comparing with the previous MCG measurement with TMR sensor, where averaging was required to reliably detect R-wave. The amplitude of R-peak observed by the TMR sensor in the <inline-formula> <tex-math notation="LaTeX">$x$ </tex-math></inline-formula>-direction is 200 pT, which is consistent with the measurement of superconducting quantum interference device (SQUID) considering the effect of distance from the observation point to the magnetic field source. The <inline-formula> <tex-math notation="LaTeX">$y$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula> components R-peak are about 550 pT. As the TMR sensor can measure MCG at room temperature, potentially, it is a promising alternative to cryogenically cooled superconducting devices to make inexpensive MCG instrumentation for extensive clinical applications.