Miracle-dz/UniFAR-FTUs huggingface dataset:
Blue Emitting Phosphor : Synthesis and Luminescence Characteristics

The main focus in this research was to understand the influence of Dy3+ and Eu3+ doping/co-doping and sintering atmosphere on the luminescence properties of SrB2Si2O8. Single phase Eu and Dy doped/co-doped SrB2Si2O8 ceramics were synthesized in different atmosphere through solid state reaction technique. An inexpensive method was occupied to provide reducing sintering atmosphere. Europium doped SrB2Si2O8 exhibit unusual reduction from trivalent to a divalent oxidation state even in an oxidizing atmosphere. We also discovered co-doping with Dy3+ ions produced further europium reduction in this phosphor. By manipulating the sintering condition and co-doping, a reddish-purple to blue tune-able phosphor under 390 nm excitations were produced and their Commission International del’Eclairage (CIE) color coordination were calculated and plotted in a CIE 1931 diagram. Photoluminescence spectra of the Eu2+/Eu3+ and Dy3+ co-doped SrB2Si2O8 phosphor showed energy transfer from Dy 3+ to Eu3+ and Eu2+ which was observable in Dy3+ f-f excitation transitions and the Dy-O charge transfer bands. A weak 777 nm emission from 3p5P to 3s5S0 transition of O2ions were observed in all the samples. The excitation and emission peaks of f f transition from Dy3+ and Eu3+ as well as 4f 5d transition of Eu2+ were also discussed. The long excitation band in ultraviolet (UV) region from these doped/ co-doped SrB2Si2O8 ceramics produced phosphors with efficient UV excitation for solid state lighting.
Overview of Security Mechanisms and Attacks in Wireless Sensor Networks

WSN technology is expanding day by day. The WSN technologies which are related to network protocol have been structured for the efficiency of energy. This paper is used for examining security mechanisms which are designed for application and network layers. Wireless Sensor Networks (WSNs) are recruited in several regions in a variety of claims named as fitness, ecology, and service; for example, to rule the chief data such as the location of staff in a building for this type of example WSNs security is required. WSN which are cluster-based gives finer hold up, functionality, benefits, and output in plenty of applications, by which numerous routing protocols which are cluster based have been evolved in WSN.
A Simple Computational Approach for the Texture Analysis of CT Scan Images Using Orthogonal Moments

This paper is a study on texture analysis of Computer Tomography (CT) liver images using orthogonal moment features. Orthogonal moments are used as image feature representation in many applications like invariant pattern recognition of images. Orthogonal moments are proposed here for the diagnosis of any abnormalities on the CT images. The objective of the proposed work is to carry out the comparative study of the performance of orthogonal moments like Zernike, Racah and Legendre moments for the detection of abnormal tissue on CT liver images. The Region of Interest (ROI) based segmentation and watershed segmentation are applied to the input image and the features are extracted with the orthogonal moments and analyses are made with the combination of orthogonal moment with segmentation that provides better accuracy while detecting the tumor. This computational model is tested with many inputs and the performance of the orthogonal moments with segmentation for the texture analysis of CT scan images is computed and compared.
DATA MODEL FOR HYBRID INDOOR POSITIONING SYSTEMS

Indoor Positioning Systems have gained attention over the last decade. Despite of numerous attempts and solutions, there is no common standard indoor positioning system such as the GPS for outdoor environment. Smart phones seem to be a good candidate for mobile devices of indoor positioning systems due to their low cost and incidence. The sensor sets of the most popular mobile platforms are analyzed from the point of view of indoor positioning and a formal data model has been created in this paper. The presented model allows the development of hybrid indoor positioning algorithms. The data model is used to design and implement a Java library which will be used to create an indoor location and navigation framework.
Fishery characteristics in two districts of coastal Tanzania

Nearshore marine fisheries provide the main source of protein for nearly 9 million people in coastal villages of Tanzania, yet for decades the fisheries have shown signs of overexploitation. These fisheries are small-scale and co-managed by local coastal communities and governmental authorities in groups known as Beach Management Units (BMUs). BMUs record individual fishing trip data (e.g. gear, vessel, taxa); however, the catch data have only been analyzed in nationally aggregated statistics. The objective of this study was to determine if BMU catchassessment surveys can provide information on the fishing characteristics of small-scale fishing communities in Tanzania. We collected all available landings data from 2014 to 2017 from BMUs in fourteen villages in two spatially, socially, and ecologically distinct districts (Pangani and Rufiji) of the country. Our results show that each village had unique patterns for vessel-use, gear-use, and taxa landed, and that every village was specialized in some measure. Specifically, two villages in Pangani district landed octopus or parrotfish almost exclusively, suggesting potential trophic cascades after years of overexploitation. Furthermore, village fisheries had shared characteristics within their district, thus describing how fishing patterns vary at multiple spatial scales along the coast. Although imperfect, the catch data collected by the community organizations have generated the first descriptions of how village-based fisheries in Tanzania function. Using these findings, we suggest implementing local monitoring data and analysis into the fisheries management plans at the village and district scale. Continuing to collect and analyze community collected data is necessary to gain insights into the range of characteristics of small-scale fisheries to improve current management programs.
The Causal Relationships in Mean and Variance between Stock Returns and Foreign Institutional Investment in India

This paper examines the causalities in mean and variance between stock returns and foreign institutional investment (FII) in India. The analysis in this paper applies the cross-correlation function approach from Cheung and Ng (1996), and uses daily data from January 1999 to March 2008 divided into two periods before and after May 2003. Empirical results showed that there are uni-directional causalities in mean and variance from stock returns to FII flows irrelevant of the sample periods, while the reverse causalities in mean and variance are only found in the period beginning with 2003. These results point to FII flows having exerted an impact on the movement of Indian stock prices during the more recent period.
Improvement of Conversion Efficiency and Enhancement in Output Power of Solar Panel

Concentrating photovoltaics (CPV) is used to integrate the extraction of light energy and thermal energy. The water cooling system is proposed in this paper provides an effective cooling by circulating cold water to remove heat from the PV systems. The use of a water circulation cooling system improves photovoltaic power systems 2% to 15% and increases the efficiency of electricity production of photovoltaic 2.29% 3.37%. Through the combined use of photovoltaic and thermal techniques, the total energy of the entire system can be improved by 37% -59%, even taking into account the cooling system power consumption. A solar hybrid system is designed to use novel photovoltaics (PV), thermoelectric modules (TE), and hot water (HW) through a multilayer of the building envelope. Water pipes are cast into a functionally graded material layer to serve as a heat sink, which allows because heat water easily transfer through some surface rich in aluminum, while being isolated by a polymer rich background. Compared to traditional solar panels, this design can achieve efficiencies with increased production of electricity and the use of thermal energy. Based on the limitations of the theoretical conversion efficiency, PV / TE / HW system exceeds PV / HW and traditional photovoltaic systems with 30% more output power. Keyword: FGM, PLTC, PV cells, TE Layer, CPV, HDPE
Computer assisted detection , prognosis and management of Diabetic Retinopathy

Detection, prognosis and management of diabetic retinopathy (DR) by computer based algorithm database have great potential to enhance the quality and availability of healthcare. Comparable in performance to human specialist doctors, examples of these databases are STARE (structured analysis of the retina), DRIVE (digital retinal images for vessel extraction), ARIA, Image Ret, Messidor, REVIEW (retinal vessel image set for estimation of widths), ROC (receiver operating characteristic) microaneurysm set and VICAVR database. Patient data is collected in the form of digital image analogues. Processing includes filtration, image enhancement, identification of defective regions and their extraction. Extracted data is recognized, classified and used to diagnose the DR along with suggestive therapy.
Overview: Morphological and Molecular Markers role in Crop Improvement Programs

The knowledge of existing plant genetic diversity is crucial for effective management of crop genetic resources. The variabil ity obtained in the genome of a species can be grouped i n to visible and non visible characteristics. E thino - botanical classification, morphological, biochemical and molecular characterization are schemes used for measurement of genetic diversity. Morphological characterization is highly recommended at the begi nning prior to biochemical and molecular studies . Morphological markers allow assessment of genetic variability based on individual phenotypic difference yet there are limitations associated to these mar kers. These limitations led to the development of mol ecular markers. Molecular marker techniques are based on naturally occurring polymorphisms in DNA sequences . Thus, these markers had several advantages over conventional phenotypic characterization.
The effect of different processing methods on rumen degradation of protein and starch in threshed peas

Legumes have increased in interest as a locally produced low input protein feed for ruminants in northern Europe. Peas are of special interest in Sweden since they are possible to cultivate on most farms. Protein feed is also a limited resource in organic farming, especially for high producing dairy milk cattle. Farmers often have to complement feed rations with conventional produced protein concentrate. The limitation with all legume grains, including peas, is that their protein is very soluble in the rumen. As a result, the pea protein is almost immediately degraded to a great deal and much of the protein, which is transformed to ammonia, is lost through the rumen wall, transported with the blood and excecreted with the urine. The consequence is that much nitrogen is lost to the environment instead of being synthesised as microbe protein. Different methods of feed processing, including preservation of feed and milling, rolling and heat treatment could improve protein utilisation. Of great importance affecting rumen degradation rate is particle size in processed peas. The extent to which peas are processed may also affect the passage rate through the rumen. A combination of different processing: preservation methods (i.e. wet or dry), grinding, flaking and cracking might give an additive effect in reducing protein degradation in the rumen.
Educating knowledge engineers on knowledge acquisition

Even though many universities are offering programs in knowledge engineering, it's a rarity that a course on knowledge acquisition is included in the knowledge engineering curriculum content. At George Washington University, a course on knowledge acquisition is required as part of the Master of Science program in Applied Artificial Intelligence and Expert Systems. This paper describes the need for more university courses on knowledge acquisition, which then can contribute to improving the state-of-the-art in expert systems development. <<ETX>>
Modellierung des verbrennungsinduzierten Wirbelaufplatzens in Vormischbrennern

Die Arbeit untersucht die Flammenausbreitung nach dem plotzlichen Wirbelaufplatzen in der rohrformigen Mischzone eines Gasturbinenbrenners. Es werden Moglichkeiten zur Reduzierung der dreidimensionalen Geometrie auf ein 2D-axialsymmetrisches Modell aufgezeigt, das eine wesentlich effizientere Berechnung zulasst. Die Kombination eines Reynoldsspannungs-Modells mit einem robusten Verbrennungsmodell liefert eine quantitativ gute Ubereinstimmung mit den experimentellen Daten. Mittels einer Analyse der Rechenergebnisse auf der Basis der Wirbeltransportgleichung konnten die zum verbrennungsinduzierten Wirbelaufplatzen fuhrenden Mechanismen identifiziert werden. Von entscheidender Bedeutung fur die Flammenruckschlagsneigung ist die Erzeugung eines baroklinen Drehmoment durch die Interaktion der chemischen Reaktion mit der Stromung im Bereich der Rezirkulationszone beim Ubergang vom Mischrohr in die Brennkammer.
Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

Applying Machine Learning (ML) to business applications for automation usually faces difficulties when integrating diverse ML dependencies and services, mainly because of the lack of a common ML framework. In most cases, the ML models are developed for applications which are targeted for specific business domain use cases, leading to duplicated effort, and making reuse impossible. This paper presents Acumos, an open platform capable of packaging ML models into portable containerized microservices which can be easily shared via the platform's catalog, and can be integrated into various business applications. We present a case study of packaging sentiment analysis and classification ML models via the Acumos platform, permitting easy sharing with others. We demonstrate that the Acumos platform reduces the technical burden on application developers when applying machine learning models to their business applications. Furthermore, the platform allows the reuse of readily available ML microservices in various business domains.
Overview of an article : ∗ Redactable Blockchain – or – Rewriting History in Bitcoin and Friends

In this overview of [AMVA16] paper we aim to provide a condensed summary of its contribution as well as elaborate on certain theoretical and practical aspects of it. Basic knowledge of hash functions, public key encryption schemes and blockchain is largely assumed but a brief introduction is given nevertheless. In the very beginning a motivation for having a redactable blockchain is given. Later a central notion of chameleon hash functions is explained as well as its suggested application in modifications of existing blockchain networks like Bitcoin [Nak09]. Finally we briefly cover practical implications of the solution and its conceptual controversy.
Regulation of Petunia Pollen Tube Growth by Phytohormones: Identification of Their Potential Targets

It is known that cytoskeleton-dependent trafficking of cell wall and membrane components to apical plasma membrane (PM) coupled with ion transport across pollen PM is crucial for maintaining polar pollen tube growth. To elucidate whether plant hormones are involved in these processes, the effects of exogenous phytohormones, indole-3-acetic acid (IAA), abscisic acid (ABA), gibberellin A3 (GA3) and cytokinin (kinetin) on the growth, PM polarization, actin cytoskeleton (AC) organization and cytoplasmic pH (pHc) of in vitro 4 h-growing petunia pollen tubes were investigated. IAA, ABA and GA3 displayed the growth-stimulating effects and these were accompanied by orthovanadate-sensitive hyperpolarization of the PM. Fluorescent labeling the enzyme with H-ATPase antibodies exhibited IAAand ABA-induced lateral PM redistribution of it into the subapical zone of pollen tube PM. Pollen cultivation on the medium with latrunculin B, the inhibitor of actin polymerization, resulted in inhibition of pollen tube growth and simultaneously in the drop of endogenous IAA content. The IAA-growth stimulating effect was correlated with increased content of actin filaments (AF) in both apical and subapical zones of tubes, while ABA and GA3 exerted the same effect but it was accompanied by redistributing F-actin only to apical zone. In contrast, kinetin decreased the total F-actin content and inhibited pollen tube growth. It has been shown that the рНc of growing pollen tubes is sensitive to the plant hormones. In the case of male gametophyte growing for 1, 2 and 4 h, IAA induced alkalinization of the cytosol, while ABA and GA3 exerted qualitatively similar effect only after its growth for 1 h and 4 h, respectively. Kinetin, in contrast, resulted in acidification of the cytosol. All these results, taken together, indicate, for the first time, potential targets of the phytohormone action in pollen tubes.
The Performance Analysis of Multi-Layer Split-Protocol

The growing need for high-performance networking is achieved with parallel processing; several networking functions are processed concurrently in order to accomplish a performance Networking Architecture. Open systems interconnection (OSI) model is an example of multi-layering structure, and each layer performs definite function unique to that layer. OSI model works on pass it on principle, and it is divided in two stacks lower stack and upper stack. Layers 4 - 7 represent upper stack and responsible for data applications. The remaining 1 - 3 layers represent the lower stack and mostly involve in data movement. There are many techniques are available for server optimization enhancing the availability by distributing the load among peer servers. According to our knowledge, nobody has implemented such splitting architecture across the entire OSI model. In this paper, we present multilayer Split-protocol (MLSP) a high performance, reliable and secure technique for spiting an application or network protocol across OSI model, and we present the design, implementation, and empirical performance evaluation of MLSP. It is the ideal choice for Cloud services where each functional component is considered an independent of each other.
Digital media literacy in the workplace : a model combining compliance and inventivity

Digital technology has become ubiquitous in the workplace, shaping socalled “new ways of working (NWOW)”. This digital turn involves changes in workers’ digital media competences. Competences are often linked to ideas of efficiency and performance, but concern issues of inclusion and wellbeing as well. This article introduces a conceptual framework that articulates two models of digital media literacy at work: one based on functional-operational skills that defines the worker as compliant, and the other based on critical-creative competences that defines the worker as inventive. This framework is used in two methodological approaches in order to study how digital media literacy is performed or articulated as compliance and/or inventivity in practices and discourses. The first approach is a connective ethnography including a workplace observation protocol and an interview guide to document employees and managers’ practices. The second one uses critical discourses analysis in order to elucidate how workers’ identities and social relations are constituted by, and constitutive of, digital media literacy discourses at work.
Research on Mean-Shift Target Tracking Based on Image HOG Feature

In this paper, mean shift algorithm based on HOG feature has been used to track the moving object. A feature hierarchical model has been constructed, which is coarser in the entire moving object layer. It is partly based on model components featuring accurate tracking of the moving object in different layers. The moving object is tracked using nuclear tracking with two layers which is more accurate than the moving object tracking with one layer information. Partially, it is based on the whole occlusion target location that can better be forecasted. The algorithm has a good tracking performance after the moving object appears again.
Peripherality and Integration: Industrial Growth and Decline in the Greek Regions

Peripheral European economies are often characterized by unfavorable structural regularities and geographical coordinates, making the process of economic integration an experience possibly associated with welfare losses at the regional level. Such types of arguments are at variance with the neoclassical understanding of the operation of the spatial economy, making the study of a weak industrial base in the EU periphery an interesting assignment with implications for theory and policy. We develop an empirical model accounting for industrial (manufacturing) growth and decline in the Greek regions in the period following EU membership (1981–2005). Given that Greek regions are characterized as lagging behind and structurally weak for the entire period under consideration, understanding the factors behind their industrial experience may have a value added for many regions with similar characteristics, especially in the new and potential EU member states.
Effect of Transport Properties on Thermoelectric Generators Design, A review

Due to the relatively low efficiency of thermoelectric (TE) generators, they have mostly been used in niche applications where the unique properties of TE generators outweigh their lack of efficiency, or conditions where it is more reasonable to base the optimal design on maximum generated power rather than maximum efficiency. The aim of this work is to investigate how the different fundamental transport properties (Seebeck coefficient, thermal conductivity and electrical resistivity) in materials with equal figure of merit (ZT) impact TE module design and maximum power output. Further, we discuss and review the strategies to enhance material properties and the latest studies on the TE module performance. It is shown, that by increasing the power factor by a factor of 15 and decreasing the thermal conductivity by 13.33 in order to maintain ZT=1, power output is increased by 45%. This effect is stronger in lower module fill factor and thermal resistance of the heat source and heat sink.