Miracle-dz/UniFAR-FTUs huggingface dataset:
PATTERN BASED GENERATION OF FULL-FLEDGED RELATIONAL SCHEMAS FROM UML/OCL MODELS

In this paper, we briefly describe currently used methods for generating relational database schemas, their limitations and drawbacks, and propose a method which advances them by generating full-fledged relational database schemas from a conceptual model. The proposed method consists of metamodel-based ant pattern-based transformations. Principles of creating pattern-based transformations are defined for transformation of OCL expressions to corresponding SQL code.
Image super-resolution processing approach based on genetic algorithm

The paper presents the approach of image super-resolution reconstruction based on genetic algorithm. We use genetic algorithm as an optimizing tool, considering the image set as initial population, and thus establish an algorithm based on genetic algorithm aiming at image super-resolution reconstruction. Simulating experiments have been carried out, which proves that the algorithm we put forward can enhance the resolution and quality of the image and the result is satisfactory.
Establishing the value of voice communication with computers

Voice communication with computers provides many advantages, particularly for communicating with multifunctional spaceborne computers. Advantages include proper utilization of the astronaut's (or any computer user's) training and experience with speech, advantages of natural-language man-computer communication, physical mobility permitted to the busy astronaut, reasonable communication capacities of the voice channel, advantages of multimodal communication, including increased reliability of I/O systems, possibility of monitoring astronaut emotional state, the small closed spaceborne environment with no outside noise and limited population of speakers, and the potential for voice I/O under various accelerations. In contrast, difficulties of oral communication with computers include interference of auditory noise, lack of any direct permanent record of what has been spoken, difficulties of computer handling of versatile natural languages, and increased demand for computer storage and processing capabilities. A system for experimentally comparing speech parameter extraction techniques has been implemented and should provide valuable results concerning the potential for successful speech recognition by computer. The final test of the value of the oral man-computer communication link will be whether human users accept and use it with some ease. Behavioral investigation of the operational acceptability of voice I/O under various restrictions on the communication and command languages used will provide precise measures of the potential success of restricted voice I/O systems.
Locally pixel‐compensated backlight dimming on LED‐backlit LCD TV

Abstract— The pixel brightness of an LCD panel perceived by a user is the product of the backlight brightness and the panel transmittance. In conventional LCD panels, the backlight brightness is constant and always at peak luminance. This design suffers from light leakage and power waste problems at dark scenes. This paper presents a new LCD system, which uses locally pixel‐compensated backlight dimming (PCBD). The proposed method combines backlight control and pixel processing for reducing light leakage and power consumption while keeping the image at the original brightness. Backlight luminance is dimmed locally in the dark‐image region, and pixel values are compensated synchronously according to the luminance profile of dimmed backlight. By reducing the light leakage, a static contrast of over 20,000:1 has been achieved on a large‐sized LCD panel with the proposed PCBD method. No obvious artifacts have been noticed as well. The power consumption of the panel can also be greatly reduced, depending on various video content. The PCBD method could be widely used for developing state‐of‐the‐art LCD panels with LED backlights.
Rapid Recognition Out Of A Large Model Base Using Prediction Hierarchies And Machine Parallelism

An object recognition system is presented to handle the computational complexity posed by a large model base, an unconstrained viewpoint, and the structural complexity and detail inherent in the projection of an object. The design is based on two ideas. The first is to compute descriptions of what the objects should look like in the im-age, called predictions, before the recognition task begins. This reduces actual recognition to a 2D matching process, speeding up recognition time for 3D objects. The second is to represent all the predictions by a single, combined IS-A and PART-OF hierarchy called a prediction hierarchy. The nodes in this hierarchy are partial descriptions that are common to views and hence constitute shared processing subgoals during matching. The recognition time and storage demands of large model bases and complex models are substantially reduced by subgoal sharing: projections with similarities explicitly share the recognition and representation of their common aspects. A prototype system for the automatic compilation of a prediction hierarchy from a 3D model base is demonstrated using a set of polyhedral objects and projections from an unconstrained range of viewpoints. In addition, the adaptation of prediction hierarchies for use on the UMass Image Understanding Architecture is considered. Object recognition using prediction hierar-chies can naturally exploit the hierarchical parallelism of this machine.
Getting more out of eye diagrams [circuit testing]

The eye diagram, so called for its resemblance to a human eye, is a well-established tool. The communications industry uses it to observe and analyze the performance of circuits that drive the transfer of digital data streams. In its simplest form, it is generated on the screen of a storage oscilloscope (analog or digital) by overlaying sweeps of different segments of a long data stream driven by a master clock. The author describes how the eye diagram is used to obtain information about the circuit under test. The advent of the digital oscilloscope has led to improvements in the use of the method. Digital oscilloscopes give engineers the ability to use timing jitter, rise time, pulse width, amplitude, and more than 40 other signal parameters as the basis for making decisions-or, even better, for having automatic test equipment make them. The most powerful digital scopes will even calculate and display such statistical quantities as the mean, minimum, maximum, and standard deviation of these parameters.
THE GROWTH, UTILITY, AND OBSOLESCENCE OF SCIENTIFIC PERIODICAL LITERATURE

Line's recently proposed technique for correcting the ‘apparent’ half‐life to allow for the rate of growth of the literature and Vickery's critical analysis of the proposal are both further analysed. Using the concept of utility and considering the sampling variances involved, the paper shows that Line's technique is both questionable and impractical, and that a further factor—the growth of the number of contributors—needs to be allowed for in Vickery's analysis. A collaborative empirical investigation is proposed.
The CAMS reanalysis of atmospheric composition

Abstract. The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis dataset of atmospheric composition produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), consisting of three-dimensional time-consistent atmospheric composition fields, including aerosols and chemical species. The dataset currently covers the period 2003–2016 and will be extended in the future by adding 1 year each year. A reanalysis for greenhouse gases is being produced separately. The CAMS reanalysis builds on the experience gained during the production of the earlier Monitoring Atmospheric Composition and Climate (MACC) reanalysis and CAMS interim reanalysis. Satellite retrievals of total column CO; tropospheric column NO2; aerosol optical depth (AOD); and total column, partial column and profile ozone retrievals were assimilated for the CAMS reanalysis with ECMWF's Integrated Forecasting System. The new reanalysis has an increased horizontal resolution of about 80 km and provides more chemical species at a better temporal resolution (3-hourly analysis fields, 3-hourly forecast fields and hourly surface forecast fields) than the previously produced CAMS interim reanalysis. The CAMS reanalysis has smaller biases compared with most of the independent ozone, carbon monoxide, nitrogen dioxide and aerosol optical depth observations used for validation in this paper than the previous two reanalyses and is much improved and more consistent in time, especially compared to the MACC reanalysis. The CAMS reanalysis is a dataset that can be used to compute climatologies, study trends, evaluate models, benchmark other reanalyses or serve as boundary conditions for regional models for past periods.
A New Semantic Method for Image Retrieval

In this paper, a multi-level image representation model is developed and used to mine semantic feature hidden in the original remote sensing image. This model is consisted of three levels: region level, region feature level and semantic level. The first two levels aim at represent image content by using region feature. Semantic level aims at extracting hidden semantic feature. At last, interested part and uninterested part method is used to improve the retrieval precision. Experiment shows that this method can well improve the accuracy of the retrieval result.
Accounting for the effects of nonideal minor structures on the optical properties of black carbon aerosols

Abstract. Black carbon (BC) aerosol is the strongest sunlight-absorbing aerosol, and its optical properties are fundamental to radiative forcing estimations and retrievals of its size and concentration. BC particles exist as aggregate structures with small monomers and are widely represented by the idealized fractal aggregate model. In reality, BC particles possess complex and nonideal minor structures besides the overall aggregate structure, altering their optical properties in unforeseen ways. This study introduces the parameter “volume variation” to quantify and unify different minor structures and develops an empirical relationship to account for their effects on BC optical properties from those of ideal aggregates. Minor structures considered are as follows: the polydispersity of monomer size, the irregularity and coating of the individual monomer, and necking and overlapping among monomers. The discrete dipole approximation is used to calculate the optical properties of aggregates with these minor structures. Minor structures result in scattering cross-section enhancement slightly more than that of absorption cross section, and their effects on the angle-dependent phase matrix as well as asymmetry factor are negligible. As expected, the effects become weaker with the increase in wavelength. Our results suggest that a correction ratio of 1.05 is necessary to account for the mass or volume normalized absorption and scattering of nonideal aggregates in comparison to ideal ones, which also applies to aggregates with multiple minor structures. In other words, the effects of minor structures are mainly contributed by their influence on particle volume/mass that cannot be ignored, and a relative difference of approximately 5 % is noticed after removing the volume effects. Thus, accurate knowledge and evaluation of BC volume/mass are more important than those of the minor structures themselves. Most importantly, the simulations of optical properties of nonideal aggregates are greatly simplified by applying the empirical relationship because they can be directly obtained from those of the corresponding ideal aggregates, a volume/mass difference parameter, and the correction factor, i.e., 1.05, not the detailed minor structure information. We expect this convenient treatment to find wide applications for the accounting for the effects of nonideal minor structures on BC optical properties.
Chitosan Based Edible Films Enriched with Black Cumin Oil for Potential Food Packaging Applications

Bu calismada corekotu yagi eklenerek kitosan bazli yenilebilir filmler hazirlanmistir. Elde edilen filmler, yuzey morfolojisi ve mekanik mukavemeti acisindan karakterize edilmistir. Filmlerin yuzey ve kesit ozellikleri taramali elektron mikroskobu ile analiz edilmistir. Ucucu yag eklenmis filmlerin yuzeyi puruzsuz ve kesiti plakali yapidadir. Filmlerin ortalama kalinligi 4-8 m m arasindadir. Ucucu yag eklemek film opakligini arttirmistir. Filmlerin mekanik ozellikler tekstur analiziyle belirlenmistir. Ucucu yag ilavesi kitosan filmlerin mekanik ozelliklerini gelistirmistir. Elde edilen filmlerin fonksiyonel ozelliklerinin ortaya konulmasi icin corekotu yaginin antioksidan ve antimikrobiyal aktivitesi belirlenmistir. Corekotu yaginin trolox esdeger antioksidan kapasitesi 0.552 μM trolox/g olarak bulunmustur. Corekotu yagi Escherichia coli , Pseudomonas aeruginosa, Staphylococcus aureus ve Staphylococcus epidermidis uzerine antimikrobiyal aktivite gostermistir. % 1'lik corekotu yagi ile zenginlestirilmis filmler hem antioksidan aktivite hem de test mikroorganizmalari uzerine antimikrobiyal aktivite ortaya koymustur. Bu sonuclar gore, ucucu yag ile zenginlestirilmis fonksiyonel yenilebilir filmlerin gidayi mikrobiyal bozulmalardan ve oksidasyondan koruyabilecegi dusunulebilir.
Hierarchical Automatic Classification of News Articles based on Association Rules

With the development of the internet and computer technology, the amount of information through the internet is increasing rapidly and it is managed in document form. For this reason, the research into the method to manage for a large amount of document in an effective way is necessary. The conventional document categorization method used only the keywords of related documents for document classification. However, this paper proposed keyword extraction method of based on association rule. This method extracts a set of related keywords which are involved in document`s category and classifies representative keyword by using the classification rule proposed in this paper. In addition, this paper proposed the preprocessing method for efficient keywords creation and predicted the new document`s category. We can design the classifier and measure the performance throughout the experiment to increase the profile`s classification performance. When predicting the category, substituting all the classification rules one by one is the major reason to decrease the process performance in a profile. Finally, this paper suggested automatically categorizing plan which can be applied to hierarchical category architecture, extended from simple category architecture.
Vertical profiles of sub-3 nm particles over the boreal forest

Abstract. This work presents airborne observations of sub-3 nm particles in the lower troposphere and investigates new particle formation (NPF) within an evolving boundary layer (BL). We studied particle concentrations together with supporting gas and meteorological data inside the planetary BL over a boreal forest site in Hyytiälä, southern Finland. The analysed data were collected during three flight measurement campaigns: May–June 2015, August 2015 and April–May 2017, including 27 morning and 26 afternoon vertical profiles. As a platform for the instrumentation, we used a Cessna 172 aircraft. The analysed flight data were collected horizontally within a 30 km distance from SMEAR II in Hyytiälä and vertically from 100 m above ground level up to 2700 m. The number concentration of 1.5–3 nm particles was observed to be, on average, the highest near the forest canopy top and to decrease with increasing altitude during the mornings of NPF event days. This indicates that the precursor vapours emitted by the forest play a key role in NPF in Hyytiälä. During daytime, newly formed particles were observed to grow in size and the particle population became more homogenous within the well-mixed BL in the afternoon. During undefined days with respect to NPF, we also detected an increase in concentration of 1.5–3 nm particles in the morning but not their growth in size, which indicates an interrupted NPF process during these undefined days. Vertical mixing was typically stronger during the NPF event days than during the undefined or non-event days. The results shed light on the connection between boundary layer dynamics and NPF.
Speech Recognition with Emphasis on Wavelet based Feature Extraction

In this paper some of the commonly used feature extraction techniques are presented and a new set of features based on the Discrete Wavelet Transform (DWT) and Admissible Wavelet Packet Transform (AWPT) is presented for the recognition of phonemes. These features overcome the problem of shift variance and speaker dependence encountered in the earlier features derived by using wavelet transform. Further study on the earlier proposed energy features derived by DWT is carried out and AWPT is proposed for phoneme recognition to overcome the problems with DWT based features. Further a new set of features based on the logarithmic compression of the energy is proposed which shows considerable improvement in the recognition performance.
A 0.75-V, 0.7 MHz CMOS 32-bit RISC microprocessor for portable applications

A 32-bit RISC microprocessor "V810" that has 5-stage pipeline structure and a 1 K byte, direct-mapped instruction cache realizes 0.7 MHz operation at 0.75 V, dissipating 330 /spl mu/W power consumption. To overcome narrow noise margin, all the signals are set to have rail-to-rail swing by pseudo-static circuit technique. The chip is fabricated by 0.8 /spl mu/m double metal-layer CMOS process technology to integrate 240,000 transistors on 7.4 mm/spl times/7.1 mm die.
Synthesis of Kaolin Loaded Ag and Ni Nanocomposites and Their Applicability for the Removal of Malachite Green Oxalate Dye

The present study focuses on the synthesis of Kaolin loaded Silver (Ag-KNC) and Nickel (Ni-KNC) nanocomposites by co-precipitation method. The surface morphology of them was determined by SEM technique while chemical composition was determined by FT-IR technique. The removal of Malachite Green Oxalate (MGO) was preceded by the adsorption method using (Ag-KNC) and (Ni-KNC). The adsorption models like Freundlich, Langmuir, and D-R (Dubinin-Radushkevich) was utilized to figure out the applicability of the tactic. Moreover, the pH at the point of zero charges (pHpzc) was determined to find surface neutrality. The effect of electrolyte (KCl) on the removal efficacy of MGO was additionally investigated. Furthermore, the ionic strength and thickness of Electrical Double Layer (EDL) were also determined. Thermodynamic parameters like free energy (∆Go), entropy (∆So) and enthalpy (∆Ho), of the system, was also investigated. The adsorption Kinetic was resolute by Intra Particle Diffusion (IPD) and Boyd’s models. Moreover, the adsorption efficacy was effectuality was ascertained to be 88% for (Kaolin), 97% for (Ag-KNC) and 95% for (Ni-KNC) systems.
Facile Synthesis of Ag3PO4 Photocatalyst with Varied Ammonia Concentration and Its Photocatalytic Activities For Dye Removal

The highly active photocatalyst of Ag3PO4 could be synthesized under ammonia solution using the facile co-precipitation method with the starting material of AgNO3 and Na2HPO4.12H2O. The variation of ammonia concentration was designed at 0.00, 0.05, 0.15, and 0.30 M. The products were characterized using X-ray diffraction, UV-diffuse reflectance spectroscopy, and scanning electron microscopy. The photocatalytic activities were evaluated using the Rhodamine B degradation under blue light irradiation. The effect of calcination, pH condition, and visible light source irradiation was carried out in the experiment. The highest photocatalytic activity was found in the sample prepared using the addition of ammonia solution at the concentration of 0.05 M. This photocatalytic activity was 4.13 times higher compared to the Ag3PO4 prepared without the ammonia. The effective condition of photocatalytic activity was achieved at the sample prepared without calcination, degradation at pH of 7 and under blue light irradiation. Copyright © 2019 BCREC Group. All rights reservedReceived: 20th April 2018; Revised: 1st September 2018; Accepted: 4th September 2018; Available online: 25th January 2019; Published regularly: April 2019How to Cite: Febiyanto, F. , Soleh, A. , Amal, M.S.K. , Afif, M. , Sewiji, S. , Riapanitra, A. , Sulaeman, U. (2019). Facile Synthesis of Ag3PO4 Photocatalyst with Varied Ammonia Concentration and Its Photocatalytic Activities For Dye Removal. Bulletin of Chemical Reaction Engineering & Catalysis, 14 (1):42-50 (doi:10.9767/bcrec.14.1.2549.42-50)Permalink/DOI: https://doi.org/10.9767/bcrec.14. 1.2549. 42-50
Licence to govern

In this paper I consider the behaviour of word-internal empty nuclei preceded by a consonant cluster. I provide a principled account for the fact that in this context a properly governable empty nucleus receives a phonetic interpretation. To do so I introduce a new notion: GOVERNMENT-LICENSING. I argue that a non-nuclear head can govern a complement only if (i) it has the required charm value, or if charmless, the required complexity, and (ii) it is licensed to govern by a following nuclear head. Among other things government-licensing accounts for the phonetic realisation of an empty nucleus following a governing onset head (i.e. a non-nuclear skeletal point which governs a rhymal or an onset complement), and for the simplification of a consonant cluster preceding an unrealised empty nucleus. If, in order to govern a complement, a nonnuclear point must be government-licensed and if a properly governed empty nucleus may not be such a licenser, in a situation where a properly governable empty nucleus follows a consonant cluster we predict the two following possibilities: to license the consonant to govern, the empty nucleus will fail to be properly governed, or proper government will apply, preventing the non-nuclear head from governing its complement, which entails the loss of this head.
A method for reproducing apparent continuous depth in a stereoscopic display using “Depth‐Fused 3D” technology

Abstract— A new method that can present fine depth increments in a stereoscopic display is proposed. In typical stereoscopic displays, depth can be presented by binocular disparity, but binocular disparity of less than one pixel cannot be displayed because, in general, electronic displays have discrete pixels. We combined binocular disparity and modulation of the edge luminance in DFD (depth‐fused 3D) displays. In an experiment, the perceived depth could be continuously changed by modulating the edge luminance only. Therefore, continuous depth can be produced by combining binocular disparity and modulation of edge luminance distribution.
Understanding and enhancing the public's behavioural response to flood warning information

Drawing on evidence from the United Kingdom and elsewhere in Europe, this paper explores how people have responded to flood warning information and how these responses impact upon the effectiveness of a flood warning through saving lives and injuries, and reducing economic damages. Methods of flood warning that the public rely upon are discussed alongside empirical evidence of how flood victims prepare for, and respond to, flood warnings in rapid to medium‐onset floods. The paper investigates why some members of the public fail to act appropriately, or most effectively, to flood warning information, touching on ideas of a lack of understanding, mistrust in authority and a lack of ownership of flood reducing actions. The paper examines the styles of public learning about flood warning response which might be most appropriate and effective, and how recent positive steps to increase the public's understanding of effective response might be further enhanced in the United Kingdom. Copyright © 2009 Royal Meteorological Society