bluuebunny/crossref_metadata_2025 huggingface dataset:
Large Magellanic Cloud Near-infrared Synoptic Survey. IV. Leavitt Laws for Type II Cepheid Variables
Authors: Bhardwaj Anupam , Macri Lucas M. , Rejkuba Marina , Kanbur Shashi M. , Ngeow Chow-Choong , Singh Harinder P.
Published: March 2017

We present time-series observations of Population II Cepheids in the Large Magellanic Cloud at near-infrared (JHK

s
) wavelengths. Our sample consists of 81 variables with accurate periods and optical (VI) magnitudes from the OGLE survey, covering various subtypes of pulsators (BL Herculis, W Virginis, and RV Tauri). We generate light-curve templates using high-quality I-band data in the LMC from OGLE and K

s
-band data in the Galactic bulge from VISTA Variables in Via LÃ¡ctea survey and use them to obtain robust mean magnitudes. We derive period–luminosity (P–L) relations in the near-infrared and Period–Wesenheit (P–W) relations by combining optical and near-infrared data. Our P–L and P–W relations are consistent with published work when excluding long-period RV Tauris. We find that Pop II Cepheids and RR Lyraes follow the same P–L relations in the LMC. Therefore, we use trigonometric parallax from the Gaia DR1 for VY Pyx and the Hubble Space Telescope parallaxes for k Pav and 5 RR Lyrae variables to obtain an absolute calibration of the Galactic K

s
-band P–L relation, resulting in a distance modulus to the LMC of

mag. We update the mean magnitudes of Pop II Cepheids in Galactic globular clusters using our light-curve templates and obtain distance estimates to those systems, anchored to a precise late-type eclipsing binary distance to the LMC. We find that the distances to these globular clusters based on Pop II Cepheids are consistent (within

) with estimates based on the

relation for horizontal branch stars.
Turbulent Transport by Diffusive Stratified Shear Flows: From Local to Global Models. I. Numerical Simulations of a Stratified Plane Couette Flow
Authors: Garaud Pascale , Gagnier Damien , Verhoeven Jan
Published: March 2017

Shear-induced turbulence could play a significant role in mixing momentum and chemical species in stellar radiation zones, as discussed by Zahn. In this paper we analyze the results of direct numerical simulations of stratified plane Couette flows, in the limit of rapid thermal diffusion, to measure the turbulent viscosity and the turbulent diffusivity of a passive tracer as a function of the local shear and the local stratification. We find that the stability criterion proposed by Zahn, namely that the product of the gradient Richardson number and the Prandtl number must be smaller than a critical values

for instability, adequately accounts for the transition to turbulence in the flow, with

. This result recovers and confirms the prior findings of Prat et al. Zahn’s model for the turbulent diffusivity and viscosity, namely that the mixing coefficient should be proportional to the ratio of the thermal diffusivity to the gradient Richardson number, does not satisfactorily match our numerical data. It fails (as expected) in the limit of large stratification where the Richardson number exceeds the aforementioned threshold for instability, but it also fails in the limit of low stratification where the turbulent eddy scale becomes limited by the computational domain size. We propose a revised model for turbulent mixing by diffusive stratified shear instabilities that properly accounts for both limits, fits our data satisfactorily, and recovers Zahn’s model in the limit of large Reynolds numbers.
Three Radial Gaps in the Disk of TW Hydrae Imaged with SPHERE
Authors: Boekel R. van , Henning Th. , Menu J. , Boer J. de , Langlois M. , Müller A. , Avenhaus H. , Boccaletti A. , Schmid H. M. , Thalmann Ch. , Benisty M. , Dominik C. , Ginski Ch. , Girard J. H. , Gisler D. , Gomes A. Lobo , Menard F. , Min M. , Pavlov A. , Pohl A. , Quanz S. P. , Rabou P. , Roelfsema R. , Sauvage J.-F. , Teague R. , Wildi F. , Zurlo A.
Published: March 2017

We present scattered light images of the TW Hya disk performed with the Spectro-Polarimetric High-contrast Exoplanet REsearch instrument in Polarimetric Differential Imaging mode at 0.63, 0.79, 1.24, and 1.62 μm. We also present H2/H3-band angular differential imaging (ADI) observations. Three distinct radial depressions in the polarized intensity distribution are seen, around ≈85, ≈21, and ≲6 au.21
The overall intensity distribution has a high degree of azimuthal symmetry; the disk is somewhat brighter than average toward the south and darker toward the north–west. The ADI observations yielded no signifiant detection of point sources in the disk. Our observations have a linear spatial resolution of 1–2 au, similar to that of recent ALMA dust continuum observations. The sub-micron-sized dust grains that dominate the light scattering in the disk surface are strongly coupled to the gas. We created a radiative transfer disk model with self-consistent temperature and vertical structure iteration and including grain size-dependent dust settling. This method may provide independent constraints on the gas distribution at higher spatial resolution than is feasible with ALMA gas line observations. We find that the gas surface density in the “gaps” is reduced by ≈50% to ≈80% relative to an unperturbed model. Should embedded planets be responsible for carving the gaps then their masses are at most a few 10

. The observed gaps are wider, with shallower flanks, than expected for planet–disk interaction with such low-mass planets. If forming planetary bodies have undergone collapse and are in the “detached phase,” then they may be directly observable with future facilities such as the Mid-Infrared E-ELT Imager and Spectrograph at the E-ELT.
Constraints on the Optical Depth of Galaxy Groups and Clusters
Authors: Flender Samuel , Nagai Daisuke , McDonald Michael
Published: March 2017

Future data from galaxy redshift surveys, combined with high-resolutions maps of the cosmic microwave background, will enable measurements of the pairwise kinematic Sunyaev–Zel’dovich (kSZ) signal with unprecedented statistical significance. This signal probes the matter-velocity correlation function, scaled by the average optical depth (τ) of the galaxy groups and clusters in the sample, and is thus of fundamental importance for cosmology. However, in order to translate pairwise kSZ measurements into cosmological constraints, external constraints on τ are necessary. In this work, we present a new model for the intracluster medium, which takes into account star formation, feedback, non-thermal pressure, and gas cooling. Our semi-analytic model is computationally efficient and can reproduce results of recent hydrodynamical simulations of galaxy cluster formation. We calibrate the free parameters in the model using recent X-ray measurements of gas density profiles of clusters, and gas masses of groups and clusters. Our observationally calibrated model predicts the average

(i.e., the integrated τ within a disk of size R
500) to better than 6% modeling uncertainty (at 95% confidence level). If the remaining uncertainties associated with other astrophysical uncertainties and X-ray selection effects can be better understood, our model for the optical depth should break the degeneracy between optical depth and cluster velocity in the analysis of future pairwise kSZ measurements and improve cosmological constraints with the combination of upcoming galaxy and CMB surveys, including the nature of dark energy, modified gravity, and neutrino mass.
The Grism Lens-Amplified Survey from Space (GLASS). VIII. The Influence of the Cluster Properties on Hα Emitter Galaxies at 0.3 < z < 0.7
Authors: Vulcani Benedetta , Treu Tommaso , Nipoti Carlo , Schmidt Kasper B. , Dressler Alan , Morshita Takahiro , Poggianti Bianca M. , Malkan Matthew , Hoag Austin , Bradač Marusa , Abramson Louis , Trenti Michele , Pentericci Laura , Linden Anja von der , Morris Glenn , Wang Xin
Published: March 2017

Exploiting the data of the Grism Lens-Amplified Survey from Space (GLASS), we characterize the spatial distribution of star formation in 76 highly active star-forming galaxies in 10 clusters at

. All of these galaxies are likely restricted to first infall. In a companion paper, we contrast the properties of field and cluster galaxies, whereas here we correlate the properties of Hα emitters to a number of tracers of the cluster environment to investigate its role in driving galaxy transformations. Hα emitters are found in the clusters out to 0.5 virial radii, the maximum radius covered by GLASS. The peak of the Hα emission is offset with respect to the peak of the UV continuum. We decompose these offsets into a radial and a tangential component. The radial component points away from the cluster center in 60% of the cases, with 95% confidence. The decompositions agree with cosmological simulations; that is, the Hα emission offset correlates with galaxy velocity and ram-pressure stripping signatures. Trends between Hα emitter properties and surface mass density distributions and X-ray emissions emerge only for unrelaxed clusters. The lack of strong correlations with the global environment does not allow us to identify a unique environmental effect originating from the cluster center. In contrast, correlations between Hα morphology and local number density emerge. We conclude that local effects, uncorrelated to the cluster-centric radius, play a more important role in shaping galaxy properties.
Comment l’Union européenne fabrique (ou pas) sa propre légitimité
Authors: Dupuy Claire , Van Ingelgom Virginie
Published: March 2017

Cet article s’inscrit dans la longue lignée des travaux qui s’intéressent à la légitimité de l’Union européenne, mais le fait à partir d’une approche centrée sur les politiques publiques : les politiques européennes contribuent-elles à légitimer l’UE aux yeux des citoyens ? Il suggère que les caractéristiques des politiques européennes permettent d’éclairer l’existence même d’effets de légitimation de l’UE aux yeux des citoyens ainsi que la nature de cet effet, définie en termes de légitimation ou de délégitimation de l’UE. Les résultats nous amènent également à insister sur la non-systématicité de ces effets-retours. L’article repose sur la comparaison des politiques sociales, environnementales et agricoles dans cinq pays de l’UE : l’Allemagne, l’Espagne, la France, l’Italie et les Pays-Bas.
La perversion narcissique en institution psycho-gériatrique : enjeux psychothérapeutiques et cliniques
Authors: Le Goff Johane , Rexand-Galais Franck
Published: March 2017

Lourds de conséquences pour l’équilibre psychique du Moi, les enjeux psychiques de la sénescence s’entendent dans une double dimension narcissique et objectale. Guère étudiée chez le sujet âgé, lorsqu’elle se manifeste dans l’espace psycho-gériatrique, la perversion narcissique peut constituer l’expression d’une perturbation dans cette double dimension. À travers un cas, l’exploration de l’installation de la perversion narcissique en institution psycho-gériatrique et l’analyse des enjeux cliniques et psychothérapeutiques qui lui sont associés permettent notamment d’approcher la question de l’identification projective comme élément caractéristique de la défense en psycho-gérontologie.
Augmented Lagrange Hopfield Network for Combined Economic and Emission Dispatch with Fuel Constraint
Authors: Dieu Vo Ngoc , Tung Tran The
Published: March 2017

This chapter proposes an augmented Lagrange Hopfield network (ALHN) for solving combined economic and emission dispatch (CEED) problem with fuel constraint. In the proposed ALHN method, the augmented Lagrange function is directly used as the energy function of continuous Hopfield neural network (HNN), thus this method can properly handle constraints by both augmented Lagrange function and sigmoid function of continuous neurons in the HNN. For dealing with the bi-objective economic dispatch problem, the slope of sigmoid function in HNN is adjusted to find the Pareto-optimal front and then the best compromise solution for the problem will be determined by fuzzy-based mechanism. The proposed method has been tested on many cases and the obtained results are compared to those from other methods available the literature. The test results have shown that the proposed method can find good solutions compared to the others for the tested cases. Therefore, the proposed ALHN could be a favourable implementation for solving the CEED problem with fuel constraint.
An Overview of the Last Advances and Applications of Artificial Bee Colony Algorithm
Authors: Márquez Airam Expósito , Expósito-Izquierdo Christopher
Published: March 2017

Swarm Intelligence is defined as collective behavior of decentralized and self-organized systems of a natural or artificial nature. In the last years and today, Swarm Intelligence has proven to be a branch of Artificial Intelligence that is able to solving efficiently complex optimization problems. Some of well-known examples of Swarm Intelligence in natural systems reported in the literature are colony of social insects such as bees and ants, bird flocks, fish schools, etc. In this respect, Artificial Bee Colony Algorithm is a nature inspired metaheuristic, which imitates the honey bee foraging behaviour that produces an intelligent social behaviour. ABC has been used successfully to solve a wide variety of discrete and continuous optimization problems. In order to further enhance the structure of Artificial Bee Colony, there are a variety of works that have modified and hybridized to other techniques the standard version of ABC. This work presents a review paper with a survey of the modifications, variants and applications of the Artificial Bee Colony Algorithm.
A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems
Authors: Expósito-Izquierdo Christopher , Expósito-Márquez Airam
Published: March 2017

The chapter at hand seeks to provide a general survey of the Cuckoo Search Algorithm and its most highlighted variants. The Cuckoo Search Algorithm is a relatively recent nature-inspired population-based meta-heuristic algorithm that is based upon the lifestyle, egg laying, and breeding strategy of some species of cuckoos. In this case, the Lévy flight is used to move the cuckoos within the search space of the optimization problem to solve and obtain a suitable balance between diversification and intensification. As discussed in this chapter, the Cuckoo Search Algorithm has been successfully applied to a wide range of heterogeneous optimization problems found in practical applications over the last few years. Some of the reasons of its relevance are the reduced number of parameters to configure and its ease of implementation.
Process Optimization in Non-Conventional Processes
Authors: Das Milan Kumar , Barman Tapan Kumar , Sahoo Prasanta , Kumar Kaushik
Published: March 2017

Conventional machining becomes non-efficient and non-effective in case of intricate shape and also while working with hard metals and alloys due to excessive tool wear. In such situations non-conventional machining, in contrast becomes more appropriate due to non-contact between tool and work-piece. In the present study, EN31 steel was machined using Plasma Arc Cutting with pre-defined process parameters. Material Removal Rate and Surface roughness were considered as responses for the study. The responses were optimized both as single and multi-response. Considering the complexities of this present problem, experimental data were generated and the results were analyzed by using Taguchi, Grey Relational Analysis and Artificial Bee Colony (ABC) Algorithm. Responses variances with the variation of process parameters were thoroughly studied and analyzed and ‘best optimal values' were identified. The result were verified by the morphological study. It was observed that there was an improvement in responses from mean to optimal values of process parameters.
Optimizing the Electrical Discharge Drilling Process for High Aspect Micro Hole Drilling in Die Steel
Authors: Kumar Kamal
Published: March 2017

Electric discharge drilling (EDD) is a thermo erosion process used to produce holes in high strength materials for various applications such as fuel injector, medical devices, turbine blades cooling channels etc. In this chapter, high aspect micro holes are drilled in die steel (of thickness 15 mm) using tubular electrodes of diameter 500µm. Using Taguchi' design of experiment method, four process parameters namely electrode material, discharge current (Ip), pulse on time (Ton) and pulse-off time (Toff) are investigated and optimized for two performance characteristics namely drilling rate (DR) and electrode wear rate (EWR). DR and EWR are opposite in nature, i.e. DR is higher the better type of characteristics while EWR is lower the better type of characteristics. Using Grey relational analysis (GRA) along with Taguchi method, both the characteristics are optimized simultaneously. Through GRA, grey relational grade has been computed as a performance index for predicting the optimal parameters setting for multi machining characteristics.
Prediction of Hardness Distribution in Plasma Arc Surface Hardening Using Neural Network
Authors: Kumar Manoj
Published: March 2017

In this chapter, an attempt has been made to develop neural network models to predict the hardness distribution of hardened zone in plasma arc surface hardening process. The back propagation method with the Levenberg-Marquardt algorithm was used to train the neural network models. Hardness distributions were collected by the experimental setup in the laboratory and the associated data were used to train the neural network models. Furthermore, the prediction of neural network models were compared with those obtained from a statistical regression models. It is confirmed experimentally that the hardness distribution can be accurately predicted by the trained neural network models. The accuracy of hardness distribution prediction using neural network is superior to that using other statistical regression models.
Efficiency Analysis of Genetic Algorithm and Genetic Programming in Data Mining and Image Processing
Authors: Chatterjee Ayan , Rong Mahendra
Published: March 2017

Today, in the age of artificial intelligence and machine learning, Data mining and Image processing are two important platforms. GA and GP are value based and program based randomized searching tools respectively and these two are very much useful in the fields' data mining and image processing for handling different issues. In this chapter, a review is made on ability of GA and GP in some applications of these two fields. Here, the selected subfields of data mining are market analysis, fraud detection, risk management, sports analysis, protein interaction, classification of data, drug discovery and feature construction. The similar in image processing are enhancement and segmentation of images, face recognition, photo mosaic generation, data embedding, image pattern classification, object detection and Graphics Processor Unit (GPU) development. The efficiencies of GA and GP in these particular applications are analyzed with corresponding parameters, comparing with other non-GA and non-GP approaches of the corresponding subfields.
Prediction of Temperature Evolution During Self-Pierced Riveting of Sheets
Authors: Mylavarapu Deepak , Das Manas , Narayanan R Ganesh
Published: March 2017

Weight reduction of automotive components by tailoring materials is the state of the art. This basically has resulted in the development of advanced joining methods like clinching, friction stir welding, self-pierced riveting etc. to assemble similar or dissimilar materials, with significant change in sheet properties. In the present work, the main aim is to predict the temperature evolution during Self-Pierced Riveting (SPR) of sheets by Finite Element (FE) analyses. Load evolution is also predicted. Generally temperature estimation during SPR is not attempted. The influence of a few selected SPR parameters has been studied on the temperature and load evolution through FE simulations. The relationship between these parameters and the temperature and the load evolution are revealed. Later a neural network model is developed to predict the temperature rise during SPR. The same has been validated at 20 intermediate levels and the predictions are accurate. Thus a hybrid FEM-ANN model for SPR has been developed to predict the SPR outputs efficiently.
An Insight on the Texture and Electrical Properties of Tomato Ketchup on a Temperature Scale
Authors: Yadav Indu , Nayak Suraj Kumar , Pandey Preeti Madhuri , Biswal Dibyajyoti , Anis Arfat , Pal Kunal
Published: March 2017

The current study delineates the effect of incubation temperature on mechanical and electrical properties of ketchup. The analysis was done in the temperature range of 5oC and 25oC. Microstructure analysis of ketchup suggested the presence of cell wall components. Mechanical properties of ketchup were analyzed by spreadability and stress relaxation studies. Electrical properties of ketchup were analyzed by measuring the impedance in the frequency range of 100 Hz and 15 KHz. Spreadability study showed a higher firmness and cohesiveness in samples incubated at a lower temperature. The stress relaxation study suggested that inherent mechanical stability of the samples reached a critical lower limit at 15oC. Stability of the electrical equivalent circuit of samples was highest at 5oC. An increase in temperature drastically compromised the stability of electrical equivalent circuit of the samples. In gist, a variation in incubation temperature of the tomato ketchup can allow modulating not only the mechanical and viscoelastic properties, but also the electrical properties of ketchup.
Artificial Intelligence
Authors: Kasemsap Kijpokin
Published: March 2017

This chapter explains the Artificial Intelligence (AI) techniques in terms of Artificial Neural Networks (ANNs), fuzzy logic, expert systems, machine learning, Genetic Programming (GP), Evolutionary Polynomial Regression (EPR), and Support Vector Machine (SVM); the AI applications in modern education; the AI applications in software engineering development; the AI applications in Content-Based Image Retrieval (CBIR); and the multifaceted applications of AI in the digital age. AI is a branch of science which deals with helping machines find the suitable solutions to complex problems in a more human-like manner. AI technologies bring more complex data-analysis features to the existing applications in various industries and greatly contribute to management's organization, planning, and controlling operations, and will continue to do so with more frequency as programs are refined.
Assessment of Levels and Interrelationships of ICT Deployment, Web Readiness, and Web Presence Quality of Nigerian E-Government Websites
Authors: Ogunsola Kemi , Tiamiyu Mutawakilu A.
Published: March 2017

Electronic government (e-government), facilitated through government websites are becoming the fastest delivery modes of government services, as they make services available to users, anywhere, anytime. Previous studies focused on the accessibility or quality of these websites in terms of web readiness and/or web presence quality measures. However, no known study has investigated the interrelationships among web readiness, web presence quality and information communication technology deployment for government services (ICT deployment) in Nigeria. The study used a questionnaire (test-retest Spearman r 0.79 for all construct items) to collect data from a sample of 117 public servants in 20 government agencies, on their knowledge of ICT deployment in their agencies; and a checklist for the content analysis of 207 Nigerian government websites, measuring their web readiness and web presence quality. The study recommended that government agencies should re-align ICT deployment with the information, services and features of their e-government websites.
Potentials of Digital Assistive Technology and Special Education in Kenya
Authors: Hamidi Foad , Owuor Patrick Mbullo , Hynie Michaela , Baljko Melanie , McGrath Susan
Published: March 2017

Technology specifically designed for people with disabilities is important in lowering boundaries to education, employment and basic life needs. However, the growth of a vibrant tech sector in Kenya has had little effect on the prevalence of digital assistive technology in the country. In this chapter, the authors report on initial explorations undertaken in Kisumu, Kenya to identify existing strengths, relationships, and gaps in access to digital assistive technology. The goal was to explore opportunities for initiatives in participatory design of assistive technology, using an international community/academic partnership. Relevant literature and projects from the areas of Information and Computer Technology for Development (ICT4D), Human-Computer Interaction (HCI) and Critical Disability Studies are reviewed and, these theories are grounded in the authors' experience working with stakeholders in the region. The conclusion discusses promising future directions for participatory and collaborative research in Kenya, and more broadly in the East African context.
Integrating Digital Literacies Into an Undergraduate Course
Authors: Kapepo Meke I. , Mayisela Tabisa
Published: March 2017

The purpose of this chapter is to share a successful case of how ICT was used for educational inclusiveness by students from previously disadvantaged backgrounds. This chapter further illuminates how students could be supported in acquiring digital and academic literacy skills, within a discipline context. Lecturers often find it difficult to define digital literacy beyond the use of ICT in a classroom, or understand how students' acquisition of digital literacy skills could be supported or further expanded into students' academic literacy skills. This piece of work therefore, provides insight to academics, researchers and students, on how: (1) ICT could be integrated into the curriculum; (2) digital literacy could be embedded into the curriculum; and (3) students could be supported in acquiring graduate attributes and skills that make them fit for the workplace.
ICT for Development in Nigeria
Authors: Longe Olumide B. , Bolaji Adefolarin A. , Boateng Richard
Published: March 2017

Prior studies have x-rayed the potentials and impetus for development that can be resultant from a full scale adoption of ICT in Africa particularly in Nigeria. Current challenges relating to infrastructures, cybercrime, government policies and so on that mitigate the benefits accruable from a virile ICT growth have also been highlighted. However, research also needs to really address possible areas of developmental benefit of ICT to rural target groups such as farmers, extension officers, health and social workers This paper explores possible alignment of ICT4D2.0 goals to ICT development in Nigeria. It posited that the digital divide that ICTD1.0 sets to bridge are still very evident at grassroots level. Adding computing and Internet functionality to technologies that already penetrate the grassroots such as mobiles phones, radios and televisions will enhance ICT4D2.0 goals in Nigeria. This will in turn increase productivity among this target group with attendant contribution to national development.
Social Cooperation in Autonomous Agents to Avoid the Tragedy of the Commons
Authors: Akarsh Shagun , Kishor Avadh , Niyogi Rajdeep , Milani Alfredo , Mengoni Paolo
Published: March 2017

In this paper, we address the “Tragedy of the Commons” (TOC) problem for shared-resource systems by considering different types of behaviors of agents. On one extreme are self-interested agents while on the other one, agents are concerned about the welfare of the society. Algorithms to capture the different behaviors of the agents with and without interaction among the agents are proposed. An extensive experimental analysis for the different cases has been carried out as well as comparisons of our algorithms with an existing approach. Our study shows that if the agents are willing to sacrifice for some period of time, the sustainability of the society increases considerably.
Understanding the Role of Urban Morphology and Green Areas Configuration During Heat Waves
Authors: Stanganelli Marialuce , Gerundo Carlo
Published: March 2017

This paper focuses on urban planning strategies to adapt cities to the increasing rising of temperatures during summer heat waves. The main target is to investigate which configuration and distribution pattern of green spaces could effectively improve natural cooling of urban environments. Although the benefit that green areas give to natural cooling is well known, this kind of studies has hardly been carried out, especially at an urban scale where it is crucial to define quantities and density of green areas to address open spaces design. To reach this goal, a methodology based on the interpretation of the statistical correlation among temperature, urban parameters and green areas configurational indicators was implemented and applied to the case study of the Municipality of Naples, performing all the analysis in a GIS. Results provide guidelines to improve natural cooling in urban areas adopting the most effective configuration and distribution of green areas within a densely-built context.
Secure Mobile Multi Cloud Architecture for Authentication and Data Storage
Authors: Zkik Karim , Orhanou Ghizlane , El Hajji Said
Published: March 2017

The use of Cloud Computing in the mobile networks offer more advantages and possibilities to the mobile users such as storing, downloading and making calculation on data on demand and its offer more resources to these users such as the storage resources and calculation power. So, Mobile Cloud Computing allows users to fully utilize mobile technologies to store, to download, share and retrieve their personal data anywhere and anytime. As many recent researches show, the main problem of fully expansion and use of mobile cloud computing is security, and it's because the increasing flows and data circulation through internet that many security problems emerged and sparked the interest of the attackers. To face all this security problems, we propose in this paper an authentication and confidentiality scheme based on homomorphic encryption, and also a recovery mechanism to secure access for mobile users to the remote multi cloud servers. We also provide an implementation of our framework to demonstrate its robustness and efficiently, and a security analysis.
Risk Factors Discriminating Online Metropolitan Women Shoppers
Authors: Rajini G. , Krithika M.
Published: March 2017

Online shopping has been really male - oriented as the product categories were limited to software, computers, music and computer accessories. As the product category expanded to clothing, food, home care and toys, women started to adopt online shopping. Nowadays there is a massive surge in online shopping particularly among metropolitan women, as they tend to purchase both necessary and discretionary products. According to the report by Associate Chamber of Trade and Industry of India (ASSOCHAM), over 80% of the online shopping is done by metropolitan women shoppers.The present study investigates the prominent perceived risks of employed women in online shopping through a consumer survey and by applying multiple discriminant analysis .The results of the empirical analysis demonstrated that perceived physical risk and product risk were found vital in discriminating the respondents as intermediate or experts in online shopping .Whereas perceived psychological risk, quality risk, Information Security Risk, Time Risk, Delivery Risk, Social Risk, Source Risk and financial risk perception during online purchase adoption contributes comparatively lesser for discrimination. The findings elucidate how marketers can formulate and implement risk-reducing strategies during online purchasing.
An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks
Authors: Cuka Miralda , Elmazi Donald , Inaba Takaaki , Oda Tetsuya , Ikeda Makoto , Barolli Leonard
Published: March 2017

Cluster formation and cluster head selection are important problems in Wireless Sensor Network (WSN) applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, in this paper, we implement an integrated fuzzy-based system for controlling sensor speed in WSNs. Different from our previous work, we consider 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.
Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model
Authors: Zhang Zhenchang , Gao Libin , Guo Minquan , Chen Riqing
Published: March 2017

The 4D variational (4DVAR) assimilation numerical ocean model research is proposed. This model for Taiwan Straits (TWS) is based on Regional Ocean Model System (ROMS). The background of the 4DVAR method is introduced and the development process of assimilation system is presented. In the present research, the model assimilated with Sea Surface Temperature (SST) data of HY-2 satellite (Qi, 2012; Xu, 2013) which is the first marine environmental monitoring satellite of China. In this paper, the model processes from Feb. 1 to Feb. 7, 2014 with one-day assimilation time window and root mean square error (RMSE) reduces averagely by 14.7%.
Telecom Big Data Based User Offloading Self-Optimisation in Heterogeneous Relay Cellular Systems
Authors: Xu Lexi , Luan Yuting , Cheng Xinzhou , Fan Yifeng , Zhang Haijun , Wang Weidong , He Anqi
Published: March 2017

This paper proposes a telecom big data based user offloading self-optimisation (TBDUOS) scheme. Its aim is to assist telecom operators to effectively balancing the load distribution with achieving good service performance and customer management in heterogeneous relay cellular systems. To achieve these objectives, in the cell-level offloaded traffic analysis stage, the optimal offloaded traffic is calculated to minimise the total blocking probability. In the user-level offloading stage, the user portrait is drawn and the K-MEANS algorithm is employed to manage the users clustering in the heavily loaded cell, and finally shifting users to assistant cells. Simulation results show the TBDUOS scheme can effectively reduce the handover failure and call dropping of specific users, especially voice/stream users, high consumption users, high level users. The TBDUOS scheme can also reduce the blocking probability.
A Novel Software Protection Approach for Code Obfuscation to Enhance Software Security
Authors: Gautam Pratiksha , Saini Hemraj
Published: March 2017

Over the past few decades ago, software developers analyzed robustly several forms of software protection against illegal copying or piracy. With the expansion in digital technology, the risk of illegal copying of software also amplifies. The increasing piracy rate has posed a serious threat to software developers leading to the development of various software protection techniques. However, various techniques have been proposed for copyright protection such as software watermarking, obfuscation, tamper-proofing and diversity. The code transformation (obfuscation) is a method of transforming a program into a form which is more complicated for an adversary to understand or change the original code from an illegitimate process of reverse engineering. None of the current code obfuscation approaches provide resistance from reverse engineering attacks. The reverse engineering threat occurs due to the unconfined software code to the user. Malicious reverse engineering of software codes can be harder by exertion of code transformation on software programs. To address this, we acquaint a peculiar code transformation approach for software protection. The proposed approach is used semantically equivalent to code clone within the source code to protect logical part of program text. We have successfully implement our approach using open source java project Gantt project system and open source java obfuscator's tools. In this paper, we present our approach and demonstrate it with an illustration. The intent of this method is to prevent static analysis attack and make dynamic attack compact for an adversary. This makes it worthwhile against reverse engineering attacks.
Analysis of Environmental Infrastructure Sustainability of Low Cost Apartment
Authors: Rahmayanti Henita , Ananda Sylvira
Published: March 2017

Housing is a basic human need, but the Government has not been able to fully provide decent shelter for the community. Governments have an obligation to provide access to adequate housing communities, livable, prosperous, cultured, and social justice. This study aimed to analyze the sustainability of the environmental infrastructure of low cost rental apartment (rusunawa) in Jakarta. To determine the condition of exixting low cost rental apartment in Jakarta, this study was conducted in five locations of Rusunawa. The sustainability of infrastructure environmental methods included Focus Group Discussion and Multi-Dimensional Scaling (MDS) approach using RAPFISH techniques program. An index value of sustainability infrastructure in rusunawa Jakarta is obtained based on an assessment of 29 attributes included into four (4) dimensions of infrastructure facilities (8 attributes), sociocultural (7 attributes), perception (7 attributes) and management (7 attributes). The results of multidimensional analysis produce an index value of sustainability infrastructure of rusunawa is 47.275. This value reflects that the existence of infrastructure of rusunawa in Jakarta is sustainable less. This research can be used as the basis for improvement of aspects that have not been sustained and become a model for other Rusunawa management.
Inverse Stochastic Routine Combined to a Stepwise Modeling Approach in the Chromatographic Column Characterization Applied to Simulated Moving Bed-SMB Separation of Verapamil Enantiomers
Authors: Bihain Anderson Luis Jeske , de Mello e Silva Pedro Castro Menezes Xavier , de Oliveira Everton Mendes , Blass Leandro , da Silva Neto Antônio José , Câmara Leôncio Diógenes Tavares
Published: March 2017

Simulated Moving Bed (SMB) chromatographic processes for the enantiomers separation of the drug verapamil were evaluated through stepwise modeling approach. Predictions of the model were compared to the dispersive equilibrium model in the simulation of continuous separation process and validated with data taken for both compounds in a SMB experimental set-up. An inverse problem tool was associated to the chromatographic columns aiming at their characterization through the global mass transfer parameters using only the experimental residence times of each enantiomer. According to the study conducted, the proposed approach was shown to be a tool with a good potential to predict the chromatographic behavior of a sample in a test pulse, as well as the simulation of separation of a compound in SMB equipment despite minor discrepancies presented in the first work cycles of the SMB. Moreover, the approach can be easily implemented and applied in the analysis of the process.
Ship Movements’ Analysis in a Physical Scale Model
Authors: Pinheiro Liliana Vieira , Simão Joana , Santos João Alfredo , Fortes Conceição Juana
Published: March 2017

A set of physical model tests was run in to characterize the ship’s response to different wave conditions going from frequently-occurring conditions up to extreme ones. Several wave heights, periods and directions were generated. The waves around the ship were measured with probes and the movements of the ship were measured with a fiber-optic gyrocompass. Transfer functions are established and compared with numerical ones obtained with the WAMIT model.
Thermal Environment and Inclination Angle Dependencies on the Surface Quality of Selective Laser Melted 316L Steel
Authors: Hitzler Leonhard , Hirsch Johann , Merkel Markus , Öchsner Andreas
Published: March 2017

Additive manufacturing processes offer the ability to manufacture highly complex geometries, but are limited in terms of the achievable surface quality. These limitations are based on physical restrictions, especially the need of support and the powder-bed environment, and economic decisions. In this study, the development of the morphology of surfaces with varying inclination angles was investigated on the example of 316L stainless steel. Surfaces with low inclination angles to the manufacturing plane suffered extensively from the process related staircase effect, whereas perpendicular side faces revealed high dependencies on the interaction with the powder-bed.
Finite Element Evaluation of Effective Thermal Conductivity of Short Carbon Nano Tubes: A Comparative Study
Authors: Javanbakht Zia , Hall Wayne , Öchsner Andreas
Published: March 2017

In the current study, two extreme cases are considered for the dispersion of carbon nanotubes(CNTs) in a polymeric matrix: randomly-oriented and randomly-aligned. The representative volume element (RVE) is used to represent the composite material consisting of epoxy resin matrix and CNT-reinforcement. The finite element method acts as the computational tool to conduct the simulations and investigate the effective parameters, i.e., the influence of the aspect ratio and the orientation, on the thermal conductivity of the matrix. A Fortran subroutine was used for both generation and analysis of the models by means of the MSC Marc finite element package and a Python script was used for the sensitivity analysis. The results indicate that optimum performance of the CNTs in terms of thermal conductivity can be reached by orienting them along the temperature gradient whereas a random distribution improves the conductivity by a smaller magnitude.
Numerical Study of Phase Change of PCM in Spherical Cavities
Authors: Faistauer Fábio , Rodrigues Petros , Oliveski Rejane de Césaro
Published: March 2017

This work presents a numerical study of the phase change process of PCM (Phase Change Materials) stored in spherical cavities. The numerical model is two-dimensional and it is composed by the equations of conservation of mass, momentum, energy and volumetric fraction, which are modeled using the enthalpy-porosity technique. The computational mesh is tetrahedral, with refinements on regions that have large thermic and fluid dynamic gradients. The numeric model was validated with result from literature. It was studied the melting process of PCM RT35, RT 55 and RT 82 in spherical cavity with constant wall temperature. Four diameters of spheres D were used (40, 60, 80 and 100 mm) and three temperature differences ΔT (10, 20 and 30 oC) between the wall temperature and the melting temperature of the PCM. Liquid fraction results from the 36 cases studied are presented. It was observed that the time required to reach a certain liquid fraction increases with the diameter and reduces with the increment of ΔT, being possible to predict the fusion time by knowing the characteristic length of the sphere. The largest percentage reduction of the fusion time was obtained with ΔT = 10 oC – 20 oC for all the D considered. The shortest fusion time was obtained with the largest ΔT combined with the smallest D. It is possible to see the dependence of the liquid fraction results in relation with the PCM properties and the its independence in relation its melting temperature, since all the PCM studied presented equal fusion time for the same ΔT and D.
Numerical Simulation of the Oscillating Water Column inside a Vertical Cylinder in Regular Waves Using IHFOAM
Authors: Conde J.M.P. , Cardoso J.M.S.M.
Published: March 2017

The motion of the free-surface inside a surface-piercing vertical cylindrical tube can be seen as a simplified approximation of an oscillating-water-column ocean-wave energy-converter (OWC-OWEC). In the present work the IHFOAM code, which solves the Reynolds-averaged Navier-Stokes (RANS) equations by a finite-volume method using the volume-of-fluid (VoF) technique, was used to simulate the action of a regular wave on the free-surface inside a vertical cylinder open to the atmosphere. In this paper the results obtained by IHFOAM are compared with other numerical results and with experimental data, showing a good correspondence between these results. In this way the IHFOAM code was verified (by comparison with other numerical results) and validated (by comparison with experimental data).
Analysis of Two Oil Spills in the Southern Brazilian Shelf, in the Years of 2012 and 2014
Authors: Monteiro Caroline Barbosa , Kirinus Eduardo de Paula , Marques Wiliam Correa , Oleinik Phelype Haron , Costi Juliana
Published: March 2017

Numerical models have been widely used to simulate and predict the behavior and transport of oil spills in marine environments. Their behavior is governed by physical, chemical and biological processes which are related to the hydrocarbon properties, hydrodynamic and weather conditions, and other environmental variables. The transport and interactions of oil particles were evaluated in simulations reproducing two oil spills recorded in the northern part of the Southern Brazilian Shelf (SBS). The numerical simulations were performed using the ECOS (Easy Coupling Oil System) model coupled to the three-dimensional hydrodynamic module TELEMAC3D. The hydrodynamic model provides the variables needed by oil spill model to calculate and infer the properties and behavior of the oil slick. The results indicate that the local wind forcing is the most important factor in determining the oil fate, followed by the intensities and directions of coastal currents. Regarding the events, in 2012 the oil reached the coast after 10 hours of the leak while in 2014 it was transported towards the ocean. The simulation strategy used in this article did not prove to be appropriate for estimates of the oil risk in the region, due to the distinct susceptibility responses between the events simulated.
Melting Heat Transfer and Induced-Magnetic Field Effects on the Micropolar Fluid Flow towards Stagnation Point: Boundary Layer Analysis
Authors: Koriko O.K. , Omowaye A.J. , Animasaun Isaac Lare , Bamisaye Mayowa E.
Published: March 2017

In this article, the problem of a non-Newtonian fluid (micropolar) flow over a horizontal melting surface in the presence of internal heat source and dual stretching (i.e. at the wall and at the free stream) is presented. Since the magnetic-Reynold of the flow is substantial, the influence of induced magnetic field is properly accounted in the governing equation. The viscosity and thermal conductivity of the micropolar fluid are considered to vary linearly with temperature. Classical models of these thermophysical properties were modified to suit the case of melting heat transfer. A similarity transformation is applied to reduce the governing partial differential equation to coupled ordinary differential equation corresponding to dimensionless momentum, angular momentum, energy and induced magnetic field equation. These equations along with the boundary conditions are solved numerically using shooting method along with Runge-Kutta-Gill method together with quadratic interpolation. The results of the present study indicate that due to the formation of boundary layer on melting surface (region of low heat energy) in the presence of induced magnetic field, space and temperature dependent internal heat generation enhances the heat transfer rate.