Miracle-dz/UniFAR-FTUs huggingface dataset:
FEATURE BASED FUSION OF MULTISENSOR DATA - INCLUSION OF HYPERSPECTRAL DATA INTO CLASSIFICATION OF HIGH RESOLUTION ORTHOPHOTOS

Many applications of remote sensing – like for example urban monitoring – require high resolution data. For a correct determination of object geometry, high spatial resolution data is essential. These data contain often low spectral information like three band RGB orthophotos. Similar feature values for thematic classes like water, dark pavements or dark rooftops lead to classification errors. As a result, high spectral resolution is also needed to separate these classes. Due to technical sensor limitations, hyperspectral data comes with a coarse ground resolution of > 3 m and are thus not suitable for geometric modelling of surface objects. A multisensor fusion is needed to reduce the limitations and uncertainties associated with data coming from a single sensor like described above. In the context of remotely sensed data, fusion is often performed by combining high spatial with high spectral resolution imagery on different levels. In contrast to pixel-based approaches like the IHStransformation or PC spectral sharpening, the emphasis of this paper is fusion of data at feature level. Hyperspectral data recorded by the HyMap sensor are fused with high spatial resolution imagery (digital orthophotos) for a combined endmember selection and classification. In this approach, the endmember for the thematic classes will be determined in a semi-automatic process. After a segmentation of the high spatial resolution dataset the resulting segments will be used to detect those pixels in the hyperspectral data, which represent candidates for the definition of thematic endmembers. The endmembers are stored in a spectral library and are used for the classification of hyperspectral data. The segments in the high spatial resolution data will be processed based upon the classification of the hyperspectral dataset and the application of overlay rules.
THE IMPACT OF GREEN MANAGEMENT AND TECHNOLOGY IN ELECTRICAL AND ELECTRONICS MANUFACTURING IN BUSINESS SUSTAINABILITY IN MALAYSIA

This paper is aim to investigating the impact of green management (GM) and technology (GT)in the electrical and electronics industry. Environmental issues, pollution and corruption due to wrong doing. This questionnaire survey-based paper was a cross sectional approach. The samples were derived by simple random sampling from the Federation of Malaysian Manufacturing report of 2013/2014. A pilot test data of 40 respondents was collected and tested using factor analysis, construct validity and reliability. The data obtained and used in this survey were self-reporting by respondent from the respective industry. The outcome, suggested that GM and GT should be holistically implemented. This paper contributed to the body of knowledge through identifying the relationship between GM and GT practices in Business Sustainability.
Americas Conference on Information Systems ( AMCIS ) December 1999 ICT in the real estate industry : Agents and social capital

For the past year, we have been involved in a study of the ways in which information and communica-tions technologies (ICT) are becoming pervasive in the residential real estate industry and their effects on the work lives of real estate agents. Our initial results suggest that analyzing an agent’s social capital—the set of social resources embedded in relationships—provides insight into how real estate agents work and how that work is affected by ICT. Social capital has three components: structural, relational, and cognitive. ICT use affects all three components.
The Impact of a Mental Health Court on Participants: The Professional’s Perspective

People with mental illness do not receive the services they need while incarcerated. This leads to a revolving door where mentally ill inmates are released from custody no better off than they were when they went in and they frequently reoffend, putting them back in the criminal justice system. One alternative to the traditional criminal courts is mental health courts, diversion programs that steer offenders away from incarceration. They seek to reduce recidivism by connecting mentally ill offenders with community services and bettering the lives of the participants. This research examined one specific mental health court. Interviews were conducted with various professionals working at the court to determine the impact of this program on participants. There were many major findings from this research. First, the professionals felt there were many benefits for participants that come from participation in the mental health court. Second, the professionals felt the community benefited from increased safety and reduced recidivism. Third, the professionals thought that the biggest challenge for participants in the mental health court was the amount of work involved in participation. Finally, the professionals felt that the mental health court would benefit from increased resources.
Fast Type Recognition of Missive Insulator Leakage Current Data Using Spark

Performance is the key issue in power big data applications. One of main challenges is how to exploit these technologies in building power big data processing platform and facilitating science discoveries such as those in electric power systems. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. We have designed and implemented the Parallel KNN(k-NearestNeighbor) algorithm using Spark and then deployed onto the Aliyun E-MapReduce cloud computing platform. The results from experiments shows the performance and scalability can be enhanced through these advanced technologies.
Adaptive capacity of climate sensitive habitats to climate change in Hungary

Several natural habitats are expected to be sensitive to climate, and their vulnerability to future climate change can be further increased by their insufficient capacity to adapt to the changes. Therefore, it is increasingly pressing to set up methodologies for assessing sensitivity and adaptive capacity of natural ecosystems for enhancing detailed climate change impact, adaptation, and vulnerability assessments. In this paper, we first provide a methodology to quantify the sensitivity of a natural habitat based on habitat distribution models. Next, we selected the 12 most climate sensitive habitats of Hungary as a case study. We also developed a composite adaptive capacity index, which was applied to the selected habitats and used as an input in the climate change impact, adaptation, and vulnerability assessment described. Our adaptive capacity index consists of three main components describing the naturalness, diversity, and connectivity of the studied natural habitats. According to our results, adaptive capacity of the climate sensitive habitats of Hungary is generally lower than it needs to be to cope with the predicted climate change of the 21st century.
Full-Field Displacement Measurement Technique by Using Repeated Patterns and JPEG Compressed Images

This paper presents an experimental technique for measuring displacement distribution from an image of repeated patterns and JPEG compressed images. The measurement accuracy of the developed method is insusceptible to the degree of JPEG compression because only lower spatial frequency components of the repeated pattern are used to calculate the displacement distribution, and high spatial frequency components have high priority to cut-off according to the JPEG compression algorithm. The insensitivity to the JPEG compression was confirmed by a displacement measurement using JPEG images of various compression ratios or image qualities. We found that by using the highest quality JPEG image, the accuracy of displacement measurement could research 1/1000 of the repeated pattern pitch, as same the uncompressed BMP images. In addition, displacement with accuracy of 1/500 pitch could be measured from a compressed JPEG image of which the file size was 1/50 of that of the BMP image. This technique is useful for measurement using a high-speed camera with high-resolution digital images for a long-term or wireless image transfer.
Relativistic tunneling through two successive barriers

We study the relativistic quantum mechanical problem of a Dirac particle tunneling through two successive electrostatic barriers. Our aim is to study the emergence of the so-called generalized Hartman effect, an effect observed in the context of nonrelativistic tunneling as well as in its counterparts and which is often associated with the possibility of superluminal velocities in the tunneling process. We discuss the behavior of both the phase (or group) tunneling time and the dwell time, and show that in the limit of opaque barriers the relativistic theory also allows the emergence of the generalized Hartman effect. We compare our results with the nonrelativistic ones and discuss their interpretation.
Isolation and characterization of a thermostable -amylase from Bacillus subtilis

The present study is aimed at assessing the ability of Bacillus subtilis to convert starch into reducing sugars. Maximum enzyme activity showed by B. subtilis was 236 Uml-1. B. subtilis showed optimum growth at pH 8 and optimum temperature for the growth of bacterial isolate was found to be 45°C. The optimal pH and temperature of the amylase activity were 7.0 and 37°C, respectively. The enzyme was found to be stable in the pH range of 5 to 10. Maximum α-amylase activity was determined in 1% starch. The enzyme was found to be in two forms with relative molecular mass of 43 and 18 kDa in SDS-polyacrylamide gel electrophoresis. B. subtilis can be exploited for starch conversion biotechnologies. Key words: Starch, α-amylase, Bacillus subtilis.
Using of GSM and Wi-Fi Signals for Indoor Positioning Based on Fingerprinting Algorithms

In the paper framework for indoor positioning utilizing Wi-Fi and GSM signals is introduced. Nowadays, indoor positioning is a very attractive topic for researchers, since accurate and reliable positioning system can unlock new market to service providers. In this paper we will analyse the use of Wi-Fi and GSM signals and their combination for the fingerprinting based positioning in the indoor environment. Performance of positioning system in terms of accuracy was analysed using simulations. In the simulations the position of the mobile device was estimated in three ways, when only GSM signals were used, when only Wi-Fi signals were utilized and when a combination of both signals was used. Three positioning algorithms from the Nearest Neighbour (NN) family were used in the simulations. Simulations were performed in the simulation model created in MATLAB environment.
Capital Structure and Foreign Ownership: Evidence from China

﻿This study provides fresh evidence on how sensitive long and short-term debts are to their financial determinants, looking at firms with different degrees of foreign ownership. Specifically, the study divides ownership into three groups, Purely Domestic, Joint Ventures and Wholly Foreign Firms and compares how their respective long-term debt and short-term debts respond to changes in their financial determinants. Wholly Foreign Firms and Joint Ventures are presumed to be more efficient and have a larger pool of cash flow compared to Purely Domestic Firms. In addition, firms with some degree of foreign ownership are presumed to be more endowed with tangible assets than firms without any degree of foreign ownership. Differences in these endowments are expected to reflect in the debt maturity choices of the different types of firms. Using ORIANA Dataset covering the period 2000-2008 on over 20,000 Chinese firms and the GMM technique, this study finds that while wholly-foreign firms and joint ventures’ short-term debt respond less to changes in cash flow compared to domestic firms’, there is no difference between how wholly-foreign firms and joint ventures long-term debt respond to changes in cash flow. Contrary to our expectations, we find that an increase in collateral will allow foreign firms to increase their long-term debt much more than Joint Ventures and Purely Domestic Firms. The implication of these results is that China’s attempt to improve its financial system has not fully gained grounds.
Microwave synthesized monodisperse CdS spheres of different size and color for solar cell applications

Monodisperse CdS spheres of size of 40 to 140 nm were obtained by microwave heating from basic solutions. It is observed that larger CdS spheres were formed at lower solution pH (8.4-8.8) and smaller ones at higher solution pH (10.8-11.3). The color of CdS products changed with solution pH and reaction temperature; those synthesized at lower pH and temperature were of green-yellow color, whereas those formed at higher pH and temperature were of orange-yellow color. A good photovoltage was observed in CdS:poly(3-hexylthiophene) solar cells with spherical CdS particles. This is due to the good dispersion of CdS nanoparticles in P3HT solution that led to a large interface area between the organic and inorganic semiconductors. Higher photocurrent density was obtained in green-yellow CdS particles of lower defect density. The efficient microwave chemistry accelerated the hydrolysis of thiourea in pH lower than 9 and produced monodisperse spherical CdS nanoparticles suitable for solar cell applications.
MGI-LEACH: Multi Group LEACH Improved an Efficient Routing Algorithm for Wireless Sensor Networks

The wireless sensor networks (WSN) are composed by a large number of micro sensors that are randomly deployed in an area of ​​interest to supervise or monitor various phenomena (temperature, pressure, humidity .). The wireless sensor nodes are typically powered by non-rechargeable batteries which makes them constrained in terms of energy. As communication energy represents the largest part of the energy consumed in sensor nodes [1], so energy efficient routing is one of the main issues to prolong lifetime of wireless sensors networks. This paper proposes a hierarchical routing protocol called MGI-LEACH for homogeneous wireless sensor networks based upon the framework of LEACH such as the network is divided into multi groups to prevent the concentration of cluster head in a particular area of ​​the network, and the cluster head selection is based on high residual energy and a short distance from the base station (BS) in each communication round, which minimizes the communication energy of wireless sensor nodes, and hence, increases lifetime of the whole network. Simulations using MATLAB software show improved lifetime in different levels of Grouping compared to the classical algorithm LEACH.
On the Potential of new digital aerial cameras for DEM generation

Based on practical experiences with the first generation of digital cameras, the impact of new digital aerial cameras on the generation of digital elevation models is estimated. The new cameras are evaluated with respect to elevation accuracy, area coverage and image quality. The produced tables and graphs show the potential of the new cameras regarding the accuracy of automatically derived elevations. For better elevation accuracy, the increases of the base/height ratio and of the resolving power of lenses are more important than the reduction of the pixel size. The impact of multi-ray photogrammetry, sensors for georeferencing, multi-spectral images and new matching algorithms is also discussed. All of the mentioned innovations will improve the accuracy of DEMs derived by photogrammetry.
On the Historical, Moral and Economic Arguments for Asymmetric Trading Regimes: the case of sub-Saharan Africa

The Least Developed Countries Report 2006 argued that a paradigm shift in national and international policies to promote development and poverty reduction is required because current policies are inadequate and have failed to develop productive capacities in the underdeveloped economies. However, the policies that are advocated do not deal with the fundamental question of how the new paradigm should differ in its approach to trading regimes currently in operation. In this paper we address this in terms of the arguments against the comparative advantage orthodoxy of free trade and for the acceptance of an asymmetric trading regime for sub-Saharan Africa based on the history of economic development and the underlying moral imperative.
ASSESSMENTS ON SHOCK ABSORPTION PROPERTIES OF FOAM-FORMED LOW DENSITY CELLULOSE COMPOSITES

This work deal with the foam-formed composites based on low density cellulose (LDC) and using the procedure of air dried foam fibre (ADFF). The authors present some assessments about shock insulation properties of such materials taking into account different types of base fibrous material starting with cellulose fibres with high purity and mixed in various percentages with fibres from recycled paper. Using a pendulum-based experimental setup for impact tests and acquiring the impact force and the striker acceleration signals respectively, it was evaluated the sample deformation, the impact bending strength, and the force – deformation diagram. Finally, it was performed a comparative analysis based on the restoring and the dynamic amplification coefficients, the sample total and residual deformations, and the maximum values of impact strength in respect with the first striking cycle . Key words: shock protection, low density cellulose, foam-formed composites, experimental analysis.
A competing risks model with degradation phenomena and catastrophic failures

Abstract: This paper proposes a competing risks model for the reliability analysis of units subject both to degradation phenomena and catastrophic failures. The paper is mainly addressed to the analysis of real data presented in Huang and Askin (2003) which refer to some electronic devices subject to two independent failure modes. The first mode is the light intensity degradation, which is treated as a degradation phenomenon since the light intensity is observed and measured at given inspection times. The other failure mode is the solder/Cu pad interface fracture, which is classified as a catastrophic failure. The main reliability characteristics, such as the probability density functions and the cumulative distribution functions of each failure mode in the presence of both modes, are estimated. Likewise, the estimate of the hazard function, of the unit reliability under the competing risks model, and of the proportion of failures caused by each failure mode are derived.
Zoning and resorption of plagioclase in a layered gabbro, as a petrographic indicator of magmatic differentiation

ABSTRACT The Murotomisaki Gabbroic Intrusion is a sill-like layered gabbro emplaced in sedimentary strata of Tertiary age in southwest Japan. The zoning (including resorption structures) and the compositional variations of plagioclase from throughout the intrusion were studied, and it was found that the zoning pattern may be classified into four types, which may well correlated with the hosting rock types, the mode of occurrences and their stratigraphic positions in the intrusion. The plagioclase zoning was successfully decoded, and the sequence of events that took place during the magmatic differentiation was deduced and further interpreted in the context of a stratified basal boundary layer slowly ascending in a solidifying magma body. It was shown that various layered structures – modal layering, podiform gabbroic pegmatites and anorthositic layers – observed in the Murotomisaki Gabbro were formed within the moving basal boundary layer by flushing of H2O-rich fluid and fractionated silicate melts from below. By the fluxing of hydrous fluids, plagioclase crystals preferentially dissolved and then melt fraction increased in the basal boundary layer. Under these circumstances, plagioclase-rich fractionated melts diapirically segregated from the crystal pile. Calcic plagioclases, which are out of equilibrium in the central part of the intrusion, may have originated from the basal boundary layer in this manner.
Results of a nationwide census of the long-tailed macaque (Macaca fascicularis) population of Singapore

Long-tailed macaques (Macaca fascicularis) are known for their ability to thrive in a wide variety of habitats, including urban areas. Singapore is an island city-state that has experienced rapid deforestation and urbanisation over the past several decades. These processes have led to the loss of most of Singapore's large mammalian species, but long-tailed macaques still live on the island. We conducted a census of long-tailed macaques between 2011 and 2012 to determine the current status of Singapore's macaque population. We surveyed forest edges, counted groups, and classified the age and sex of all individuals. We estimated the macaque population to be 1810-2166 individuals distributed among 92 groups, and a density averaging 6.86 individuals per km 2 (range: 0.89-33.63 across six zones) in areas with macaques. We found no evidence of overpopulation. Rather, the population characteristics mirror those of non-provisioned, wild long-tailed macaque populations. However, the interpretation of our results is limited by the fact that we did not have access to records documenting the number of macaques culled in Singapore before and during this census. Without accurate culling records, it is not possible to assess what shapes the current population structure, and thus research on the past effects of culling is needed.
DIVERSITY AND GENETIC STRUCTURE OF NATURAL POPULATIONS OF ARAÇÁ (Psidium guineense Sw.)

Psidium guineense Sw , popularly known as araca, is a fruit tree there is widely distributed in Brazil and belongs to the Myrtaceae family. In northeastern Brazil, araca occurs along coast and in the Zona da Mata; its fruit looks like guava but is more acidic and has a stronger smell. There is a little information about this species, which increases the difficulty of conserving its genetic resources and exploiting araca as an economic resource. The objective of this research was the evaluation of the genetic diversity and genetic structure of P. guineense from Pernambuco’s Zona da Mata. One hundred and fourteen individuals and 18 isozyme loci were evaluated, showing 28 alleles. The percentage of polymorphic loci () and the average number of alleles per locus () were 0.5 and 1.5, respectively, in this population. The expected heterozygosity, which corresponds to the genetic diversity, ranged from 0.22 to 0.23, a high value when considering that isozymes mark access from the functional genome. The differentiation index among the population was () = 0.015; therefore, the populations were not different among the sampled places. The inbreeding values () ranged from -0.549 to -0.794, indicating an absence of inbreeding and a greater-than-expected heterozygosity in all the studied populations. The estimated gene flow ( N m ) for a pair of this population ranged from 3.23 to 20.77, sufficient to avoid genetic differentiation among the population and in accordance with the values of genetic divergence found in this study.
Morita equivalences of enriched categories

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