Miracle-dz/UniFAR-FTUs huggingface dataset:
AN EFFECTIVE APPROACH FOR IMAGE RECONSTRUCTION AND REFINING USING DEMOSAICING

Address for Correspondence Lecturer, Department of Information Technology, Sri venkateswara college of Engineering, Chennai, India. Email:jayasudha@svce.ac. in, alagu@svce.ac. in ABSTRACT The proposed work uses Demosaicing process for restoring full-color images from incomplete color samples acquired by single-sensor digital cameras. In the demosaicing process red, green and blue components of the image are acquired and interpolated to reconstruct the image. To restore a full-color image from its CFA samples, the two missing color values at each pixel are usually estimated from their neighboring CFA samples. This process is commonly referred to as CFA demosaicing (or CFA interpolation). and it has a substantial impact on the quality of the color images produced by a single – sensor digital cameras. If demosaicing is not performed properly, the restored images will suffer from visible artifacts, most dominated by zipper effects and false colors. The reconstructed images are affected by some visible and annoying artifacts. In this work a new effective algorithm is used to reduce these artifacts. This algorithm improves the performances of the demosaicing reconstruction. A refining step is included to further improve the resulting reconstructed image. It provides better performance with low computational cost.
Magneto-Hydrodynamic Flow in Electrolyte Solutions

The paper presents and compares two models for simulating magneto-hydrodynamic flow of RedOx electrolyte in a conduit patterned with circular pillars. The first model solves the coupled Nernst-Planck and Navier-Stokes equations subjected to Butler-Volmer electrode kinetics and provides detailed information on ions’ concentrations. The second model treats the electrolyte as a conductor, and uses current and momentum conservations. Both models are verified and their predictions are compared. Furthermore, we demonstrate the existence of an optimal pillar diameter that maximizes the electric current’s density. The work is relevant to microfluidic systems that utilize magnetohydrodynamics to move and stir fluids without a need for mechanical pumps and valves and, in particular, to chromatographic columns with infinite length.
Introducing Software Reading Techniques into Pattern Writer ’ s Workshop : Checklists and Perspectives

Pattern Writer’s Workshop (WW) is a method to review, evaluate, and improve each other’s pattern or pattern language papers under the guidance of a moderator. Although the WW has been well accepted at the pattern community and xPLoP conferences, there could be several problems such as poor moderations leading to “ad hoc” review meetings. To address the problems, we propose an approach for introducing two existing major software reading techniques, Checklist-Based Reading (CBR) and PerspectiveBased Reading (PBR), to the WW targeting software patterns and pattern languages, and discuss potential benefits and drawbacks. Moreover we confirmed benefits and drawbacks of the approach by conducting an experiment.
Inheritance and Molecular Mapping of Wilt Resistance Gene ( s ) in Castor ( Ricinus communis L . )

The inheritance of resistance to castor wilt derived from ‘Haritha’ and ‘48-1’ conferring resistance to race 1 of the pathogen Fusarium oxysporum F.sp. ricini has been determined. The F2 individuals and backcross F1 families of two crosses Haritha and ‘48-1’ (resistant) × ‘Kranthi’ (susceptible) were screened against Fusarium wilt in combined tests which indicated dominant control by single locus of tightly linked gene(s). Bulked segregant analysis (BSA) was carried out on F2 and BC1F1 individuals with 186 RAPD primers that resulted in the identification of two RAPD markers linked to resistance that distinguished the bulks. Of these, the RAPD markers OPH-124973 and OPJ154268 were tightly linked to ‘Haritha’ and ‘48-1’ at a distance of 5.0 cM and 7.0 cM to wilt resistance. These closely linked markers to the wilt resistance gene(s) provide a valuable basis for marker-assisted selection in castor breeding programs. _____________________________________________________________________________________________________________
QUANTUM INFORMATION AND QUANTUM PHYSICS IN SPACE : EXPERIMENTAL EVALUATION ( “ QIPS ” ) Executive Summary

Space links offer an ideal solution for global Quantum Communication, e.g. for secure key exchange. At the same time, the space environment enables fundamental tests of quantum phenomena, in particular quantum non-locality. Within the first part of this study, the detailed designs of mid-term and long-term experiments for the demonstration of Quantum Communications applications as well as fundamental principles of Quantum Physics have been further investigated, both from the scientific impact point of view, and in terms of the technical feasibility of the required space infrastructure. In the second part of the study, a multi-purpose ground-based proof-of-concept experiment was defined and its detailed design was carried out. Its flexible and modular design of the demonstrator ensured compatibility with the testing of several phenomena (single photon channel, testing of atmospheric effects, entanglement distribution). Using this demonstrator, we performed basic ground-to-ground Quantum Communications experiments, that are representative of the needs of space systems in order to identify and evaluate the main limitations of future space-to-ground (or fully space-based) experiments. These experiments established single photon links between the Canary islands of La Palma and Tenerife over a distance of 144 km. Utilising schemes with an entangled photon source and attenuated laser pulses, we demonstrated secure key exchange at optical attenuation values expected for a downlink from a low earth orbit (LEO) satellite. We also demonstrated that the Optical Ground Station (OGS) on Tenerife, developed for standard optical communication to and from satellites, can be adapted for the use in quantum communication protocols. The results thus clearly demonstrate the feasibility of satellite-based quantum key distribution. On the way towards a quantum communication experiment in space, further developments of components and technologies are required. We identified associated critical areas and proposed future activities for the development of a space-based quantum communication terminal. The work described in this report was done under ESA contract. Responsibility for the contents resides in the author organisation that prepared it.
Customized 3D sound for innovative interaction design

This paper considers the impact of binaural 3D audio on several kinds of applications, classified according to their degree of body immersion and their own coordinate system deviation from a physical condition. A model for sound spatialization, which includes additional features with respect to existing systems, is introduced. A significant reduction of computational costs is allowed by model parametrization according to anthropometric information of the user and audio processing through low-order filters, thus resulting affordable for several kinds of devices. According to the following examination, this approach to 3D sound rendering can grant a transversal enrichment to the CHI research purposes, in reference to content creation and adaptation, resourceful delivery and augmented media presentation. In several contexts where personalized spatial sound reproduction is a central requirement, the quality of the immersive experience could only benefit from this sort of adaptable and modular system.
L 2 – Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation

This paper presents first results for the stability analysis of Model Predictive Control schemes applied to the Fokker-Planck equation for tracking probability density functions. The analysis is carried out for linear dynamics and Gaussian distributions, where the distance to the desired reference is measured in the L-norm. We present results for general such systems with and without control penalization. Refined results are given for the special case of the Ornstein-Uhlenbeck process. Some of the results establish stability for the shortest possible (discrete time) optimization horizon N = 2.
Temperature and pressure effect on gasification process

Gasification is among technologies that allow the use of fuel to produce power and heat. This technology is also suitable for biomass conversion. And the use of this renewable source is used to diversify the energy mix and thus the Czech Republic reduces its dependence on fossil fuels and imported energy raw materials from abroad. During gasification, biomass is converted into gas that can then be burned in gas burner with all advantages of gas combustion; or used in internal combustion engines. The main task during gasification is to achieve maximum purity and calorific value of gas. These are mainly dependent on the type of gasifier, gasification medium, biomass quality and last but not least, on the very gasification mode. The paper describes experiments investigating the effect of temperature and pressure on the gas composition, low calorific value and tars content. Experiments were performed in atmospheric gasifier in the laboratories of the Energy Institute at the Faculty of Mechanical Engineering, Brno University of Technology. Key-Words: biomass, gasification, tar content, steam, temperature effect
Exploring the Space of Probabilistic Sentential Decision Diagrams

Probabilistic sentential decision diagrams (PSDDs) are annotated circuits providing a possibly compact specification of joint probability mass functions consistent with a formula over a set of propositional variables. PSDD inference is tractable in the sense that marginal queries can be achieved in linear time with respect to the circuit size by traversal algorithms. Unlike other probabilistic graphical models such as Bayesian networks, the problem of learning the structure for PSDDs received relatively little attention. We discuss some preliminary ideas related to the development of pure likelihood-score-based search methods for the learning of PSDD structures fitting a formula and a data set of consistent observations. A sampling algorithm for these models is also provided.
Towards Energy-Fairness in LoRa Networks

LoRa has recently become one of the most promising networking technologies for the Internet of Things applications. Distant end devices have to use a low data rate to reach a LoRa gateway, which can cause long in-the-air transmission time and high energy consumption. Compared with the end devices using high data rate, they will drain the batteries much earlier and the network may be broken. Such an energy unfairness can be mitigated by deploying more gateways, since it allows end devices to reach closer gateways with higher data rates. However, multiple gateways may not solve the energy unfairness problem efficiently due to the collision problem caused by the chirp spread spectrum modulation of LoRa networks. Spreading factors of LoRa links can determine both data rate and multiplexing of different transmissions. With more gateways, more end devices may choose low spreading factors and reach closer gateways, which increase the collision probability. In this paper, we propose a networking solution for LoRa networks named EF-LoRa that can achieve fair energy consumption among end devices by carefully allocating different network resources, including frequency channels, spreading factors and transmission power, to achieve fair energy consumption among end devices in LoRa networks. We develop a LoRa network model to study the energy consumption of all the end devices in a network by considering the unique features of LoRa networks, such as LoRaWAN MAC protocol, spreading factors, interference, and the capacity limitation of a LoRa gateway. We formulate the energy fairness problem as an optimization problem and finally propose a greedy resource allocation algorithm to achieve the max-min fairness of energy efficiency in the LoRa networks. Simulation results show that the proposed solution EF-LoRa can improve the energy fairness of legacy LoRa networks by 177.8%.
MOBILE INTERNET SERVICES CONTINUANCE : A RATIONAL DECISION MAKING AND AUTOMATIC BEHAVIORAL PERSPECTIVE

No researchers in the IS literature tried to provide and explain an integrated human behavioral processes framework. This paper attempts to fill in this gap by proposing a rational decision making and automatic behavior framework and suggesting rational behaviors to consist of cognitive, affective and judgmental components while automatic behaviors to consist of affective and habitual components. This study also provides implications to practitioners who have been finding it difficult to maintain or increase the continuing usage of mobile Internet services. The findings validate our integrated rational decision making and automatic behavior framework and suggest practitioners to increase the perceived value of the mobile Internet services.
Auditor reporting decisions and audit fees

This paper investigates whether audit fees are associated with auditor reporting decisions involving accounting principles changes. Auditing standards require auditors to modify the standard audit report when a client adopts a new accounting principle and that change has a material effect on the financial statements. Two competing hypotheses regarding the association between auditor reporting decisions and audit fees (economic bonding theory versus auditor reputation theory) are considered. The findings are consistent with the economic bonding theory. Specifically, the results suggest that audit fees and total fees are inversely associated with auditors’ propensity to modify audit reports for consistency in the application of GAAP. The results also suggest that high audit fees may impair auditor reporting decisions relative to low fees. The findings will be of use to market regulators considering methods of improving auditor independence. The findings will also be of interest to investors and other market participants when considering the independence of firms’ auditors when making informed decisions based on accounting reports. Finally, academics may find the setting interest because the extant literature has focused on ex-post measures to examine auditor independence, whereas this study does not rely on a subsequent accounting failure occurring or not occurring.
FACIAL AGE CLASSIFICATION USING DISCRETE WAVELET TRANSFORM AND K-NEAREST NEIGHBOUR ALGORITHM

Computer based face processing has been extensively used in finding identity, gender and age of human beings. There were a number of growth related changes in the face, which helps us in categorizing the age into various age groups. Statistical methods, Geometric methods, Anthropometric methods etc, were the various methods, which classifies the human facial images into different age groups. On the other hand, a prominent method is yet required for classifying the human age. The proposed work includes three stages of pre-processing technique, in which the facial images are enhanced. The facial features were extracted using Discrete Wavelet Transformation (DWT) and the classification of age group is done using K-Nearest Neighbour (KNN) classifier. We used three categories of age groups, namely Adolescence (13-18yrs), Adult (19-59yrs) and Senior Adult (60yrs and above). The classification algorithm is trained and tested using MORPH database which consists of images of various age groups. In stage-1 a maximum classification rate of 96.56% is achieved, using Reverse Bi-orthogonal wavelet (rbior2.4 at level-2), whereas, in stage-2, a maximum classification rate of 91.86% is achieved, using Daubechies, Bi-orthogonal, Reverse Bi-orthogonal wavelets at level-3.
Numerical Study on the Formation of Typhoon Ketsana ( 2003 ) in the Western North Pacific

This is part II of a previous study Lu et al. (2012), which simulated the formation of Typhoon Ketsana (2003) in the western North Pacific using the Weather, Research and Forecasting (WRF) model from the National Center for Atmospheric Research. In particular, the mesoscale dynamics associated with the generation of mesoscale convective vortices (MCVs) and the roles of mesoscale convective systems (MCSs) during the formation process of the Typhoon were investigated. Lu et al. concluded that with the successive occurrence of MCSs, midlevel average relative vorticity was strengthened through generation of MCVs via mechanisms such as vertical stretching and eddy fluxes. Through sensitivity experiments to modify the vertical humidity profile in each MCS, it was found that the development of a MCS depends substantially on that of the prior ones through remoistening of the midtroposphere, and thus leading to different scenarios of system intensification during the typhoon formation.
Masterhesis : Implementation of Monte Carlo fitter and Selection of B → K ∗ μ μ decays in LHCb Run 2 data

The work presented in this thesis consists of two parts, which are all intended to be used in the contents of data analysis of data taken by the LHCb detector, especially to analyse the decay B→ K∗μμ. 1. A new fitting routine has been developed as a more transparent and reliable alternative to the broadly used routine Minuit. 2. A test of boost decision tree algorithms has been performed. boost decision trees are algorithms used to separate signal from background. The test in this thesis was performed to find the best boost decision tree algorithm in order to select events with the decay B → K∗μμ. In addition data from the Run II of the LHCb detector was used to reweight the Monte Carlo simulation of events with the decay B→ K∗μμ.
NITRIC OXIDE AND CALCIUM INDUCED PHYSIO- BIOCHEMICAL CHANGES IN TOMATO (SOLANUM LYCOPERSICUM) PLANT UNDER HEAT STRESS

Temperatures above the threshold levels limit many physiological and biochemical processes required for plant survival. Therefore, the aim of the present experiment was to determine the individual and combined effects of sodium nitroprusside (SNP) and calcium (Ca) on the physiological attributes of tomato (Solanum lycopersicum) plants under heat stress (HS) and non-HS conditions. Heat stress significantly increased the chlorophyll (Chl) degradation, malondialdehyde (MDA), hydrogen peroxide (H2O2), proline (Pro) and glycinebetaine (GB) content, and decreased the photosynthetic pigment (Chl a and Chl b) and total soluble carbohydrate (TSC) content and the activities of Rubisco, carbonic anhydrase (CA), and nitrate reductase (NR). However, compared to the individual treatments, the combined application of SNP and Ca was more effective in subsiding the damaging effects of HS by reducing the accumulation of MDA and reactive oxygen species and by stimulating the biosynthesis of compatible solutes (Pro and GB), TSC, and photosynthetic pigments (Chl a and b), and also by enhancing the activities of Rubisco, CA, NR, superoxide dismutase, catalase, peroxidase, glutathione reductase, and ascorbate peroxidase.
A 023 Function Integrated Diagnostic Assistance Based on Multidisciplinary Computational Anatomy Models-Progress Overview FY 2015 -

This paper describes the purpose and summary of our recent progress and achievement in the research work, which is a part of the research project “Multidisciplinary Computational Anatomy and Its Application to Highly Intelligent Diagnosis and Therapy,” founded by Grant-in-Aid for Scientific Research on Innovative Areas, MEXT, Japan. The main purposes of our research in this project are to establish a scientific principle of multidisciplinary computational anatomy and to develop computer-aided diagnosis (CAD) systems based on such anatomical models for organ and tissue functions. In FY2015, we proceeded with the preparation for sub projects, such as the database establishment, and started the investigation in earnest. Several progresses have been achieved with the promising results, which encourage the continual effort for success of this project.
OF STATE OF ART TECHNIQUES IN ACTIVE POWER FILTERS AND REACTIVE POWER COMPENSATION

This paper presents a review of the state of the art techniques in active power filters and reactive power compensation. The presentation and subdivision of these techniques is discussed in detail with their merits and demerits. Latest research work in the field of controlling techniques has also been given. This is important for design engineers and researchers in Power Quality to enable them to select the correct system for their specific applications.
FROM GIST TO URBAN TRANSPORT POLICIES : ACCESSIBILITY SIMULATIONS TO FAVOUR SUSTAINABLE MOBILITY

This paper, presents a new tool to model and simulate transports policies using access-based indicators. This tool, namely a GIS coupled with a 4 steps transport model, is the result of MOSART program developed in LET (Lyon Institute of Transport Economics, University of Lyon). LET has developed the MOSART project (Modelling and simulating accessibility) to set up a tool to help in decision and town planning, allowing to study the accessibility of populations to services and jobs along the various networks (private car, public transport). After presenting some paradoxical results of accessibility measurement in relation with new public transit offers, the paper tests some public policies change like the set up of a urban toll or a high increase of mobility price due to a fuel tax or a sharp increase of fuel price. This kinf of “stress test” on urban mobility might prepare public policies to the effects of potential external shocks on accessibility and therefore on mobility. From GIS-T to urban transport policies: Accessibility simulations to favour sustainable mobility CROZET, Yves ; MERCIER, Aurélie; OVTRACHT, Nicolas 12 WCTR, July 11-15, 2010 – Lisbon, Portugal
Screening , identification and characterization of lignocellulolytic fungi from decomposing rice straw and eucalyptus stump

The fungi from decomposing rice straw and rotten eucalyptus stumps in Amphoe Mueang, Nongkhai Province were screened using agar diffusion technique. There were 32 isolates that could hydrolyze lignocelluloses. Those isolates hydrolyzed cellulose and hemicellulose, but lignin oxidation was not found. Among the fungi isolate from rotten eucalyptus stumps, NKU1-5, NKU1-7 and NKU2-9 showed highest ability to hydrolyze hemicelluloses. The optimal temperatures for those isolate were 35, 35 and 25 C, respectively. In addition, their growth rates were similar at 25 C. The xylanase activity and hemicelluloses hydrolysis ability of those isolate, rice straw as substrate, were compared at 25 C and 50 % moisture content on the model of solid state fermentation. The NKU2-9 showed the highest xylanase activity (4.48 IU/ml) and hemicellulose degradation (8.29%). Those 3 isolates were identified as Aspergillus sp. strain NKU1-5 (KY405016), Aspergillus sp. strain NKU1-7 (KY405017) and Curvularia sp. NKU 2-9 strain (KY405018) as assessed by partial 5.8S rDNA sequences. These lignocellulolytic fungi have the potential to degrade agricultural waste to produce valuable products and to handle the waste without environmental harmful. ค าส าคัญ: ราย่อยลิกโนเซลลูโลส การย่อยสลายเฮมิเซลลูโลส การย่อยลิกโนเซลลูโลส กิจกรรมเอนไซม์ไซลาเนส Keyword: Lignocellulolytic fungi, Hemicellulose degradation, Lignocelluloses hydrolysis, Xylanase activity