1,538 research outputs found

    Вдосконалення підходу до захисту інформації в Hadoop: Відкликано з публікації

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    This article by Yogesh Awasthi (Email: [email protected]) has been retracted (i.e. withdrawn from the press) due to violating our Publication Ethics: plagiarism of text from the previously published article titled "Enhancing Approach Using Hybrid Pailler and RSA for Information Security in Bigdata" Shadan Mohammed Jihad ABDALWAHID, Raghad Zuhair YOUSIF, Shahab Wahhab KAREEM in the journal "Applied Computer Science" (2019. Т. 15, № 4. http://acs.pollub.pl/pdf/v15n4/6.pdf); publishing of the same article by Yogesh Awasthi and Ashish Sharma "Enhancing Approach for Information Security in Hadoop" in "Journal of Information Technology and Computer Engineering" (2020. Т. 4, № 1. https://doi.org/10.25077/jitce.4.01.5-9.2020 ).Статья Yogesh Awasthi (Email: [email protected]) "Усовершенствование подхода к информационной безопасности Hadoop" отозвана из публикации в связи с нарушением публикационной этики: выявлены признаки неправомерного заимствования из статьи "Enhancing Approach Using Hybrid Pailler and RSA for Information Security in Bigdata" Shadan Mohammed Jihad ABDALWAHID, Raghad Zuhair YOUSIF, Shahab Wahhab KAREEM в журнале "Applied Computer Science" (2019. Т. 15, № 4. http://acs.pollub.pl/pdf/v15n4/6.pdf); выявлена дублирующая публикация под названием "Enhancing Approach for Information Security in Hadoop" Yogesh Awasthi, Ashish Sharma в журнале "Journal of Information Technology and Computer Engineering"  (2020. Т. 4, № 1. https://doi.org/10.25077/jitce.4.01.5-9.2020 ).Стаття Yogesh Awasthi (Email: [email protected]) "Вдосконалення підходу до захисту інформації в Hadoop" відкликана з публікації через порушення публікаційної етики: виявлено ознаки неправомірного запозичення зі статті "Enhancing Approach Using Hybrid Pailler and RSA for Information Security in Bigdata" Shadan Mohammed Jihad ABDALWAHID, Raghad Zuhair YOUSIF, Shahab Wahhab KAREEM в журналі "Applied Computer Science" (2019. Т. 15, № 4. http://acs.pollub.pl/pdf/v15n4/6.pdf); виявлена дублююча публікація "Enhancing Approach for Information Security in Hadoop" Yogesh Awasthi, Ashish Sharma в журналі "Journal of Information Technology and Computer Engineering" (2020. Т. 4, № 1. https://doi.org/10.25077/jitce.4.01.5-9.2020 )

    Investigating consumer adoption, usage and impact of broadband: UK households

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    This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Despite a large investment, the majority of countries especially the UK demonstrate a slow adoption of broadband. In order to enhance the adoption and use of broadband this research examines the factors influencing the decisions of household consumers. This research aims to address the two main areas of concern: first, to investigate consumer-level factors affecting the adoption of broadband in UK households; and second, to understand the usage of broadband and its impact upon household consumers in the UK. This research adopted a quantitative approach that was executed in the following steps. First, it developed a conceptual model by selecting and justifying relevant constructs from appropriate theories and models related to technology adoption, usage and impact. Second, it operationalised the constructs by developing and validating the research instrument by employing the content validity, reliability and construct validity approach. Finally, it empirically validated and refined the conceptual model by employing a survey research approach. The findings suggested that all the constructs included in the conceptual model, except knowledge, significantly influence the consumers when adopting broadband in a UK household. The significant constructs include relative advantage, utilitarian outcomes, hedonic outcomes, primary influence, facilitating conditions resources and self-efficacy. The rate and variety of Internet usage is significantly higher for broadband consumers than narrowband ones. It was also found that significantly more numbers of broadband consumers perceived changes in time allocation patterns on various daily life activities than narrowband ones. This research contributes towards theory, practice and policy. The contribution of this research towards theory is that it integrates and determines the appropriate information systems (IS) literature in order to enhance knowledge of technology adoption from the consumers' perspectives. An added contribution to theory is the development and validation of a research instrument that future studies can utilise to examine broadband and other similar technologies in household context. Considering the slow adoption of broadband, this research also provides implications for policy makers and the providers of broadband in order to encourage and promote homogenous adoption and usage

    Determination of Quantum Capacitance of Niobium Nitrides Nb2N and Nb4N3 for Supercapacitor Applications

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    The density of states and quantum capacitance of pure and doped Nb2N and Nb4N3 singlelayer and multi-layer bulk structures are investigated using density functional theory calculations. The calculated value of quantum capacitance is quite high for pristine Nb2N and decent for Nb4N3 structures. However for cobalt-doped unpolarized structures, significant increase in quantum capacitance at Fermi level is observed in the case of Nb4N3 as compared to minor increase in case of Nb2N. These results show that pristine and doped Nb2N and Nb4N3 can be preferred over graphene as the electrode material for supercapacitors. The spin and temperature dependences of quantum capacitance for these structures are also investigate

    Preference prediction through feature-based collaborative filtering of textual reviews

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    Text reviews are often used by users to decide whether to buy a product or watch a movie or dine in a restaurant. Most of these reviews are raw text and lack a formal structure. Computers cannot easily understand and interpret these reviews to analyze and aggregate them. Users have to manually read through these reviews to find the useful information about the concerned restaurant. We use the topical and sentimental information compiled from raw textual reviews to understand user preferences. We use these preferences to cluster similar users together and then predict users' topical feelings towards the restaurants for which they may be requesting information and to make suitable recommendations. Users have similarities in their preferences for particular topics under which the restaurants have been reviewed. Therefore, we can soft-cluster them using these similarities extracted from their reviewing history. These cluster membership probabilities help us make predictions about the user's sentiments in each topic for the target restaurant. Our results show our accuracy for predicting these sentiments and show that we can provide recommendations to users in most topics for the target restaurant.M.S.Includes bibliographical referencesIncludes vitaby Yogesh Kakodka

    Learning API mappings for programming platforms

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    Software developers often need to port applications written for a source platform to a target platform. One of the key tasks here is to find matching API calls in the target platform for the given API calls in the source platform. This task involves exhaustive reading in target platform API (Application Programming Interface) documentation to identify API methods corresponding to the given API methods of the source platform. We introduce an approach to the problem of inferring mapping between the APIs of a source and target platforms. It is constructed based on independently developed applications on source and target platforms performing similar functionality. We observe that in building these applications, developers exercised knowledge of the corresponding APIs. We develop two dynamic analysis techniques to systematically harvest this knowledge and infer likely mappings between the Graphical APIs of JavaME and Android Graphical platform. Rosetta Mapper: A tool which provides a ranked list of target API methods or method sequences that likely map to each source API method or method sequences. Rosetta Classifier: A supervised learning tool which classifies whether the given mapping between source API and target API is true or false using support vector machines.M.S.Includes bibliographical referencesby Yogesh Padmanaba

    Edible Packaging: Mechanical Properties and Testing Methods

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    Traditionally people use food packaging materials from nonrenewable sources such as plastics obtained from petroleum. The traditional food packaging materials play a significant role in the total plastics consumption of the world. They are nonbiodegradable, cause environmental pollution, and large carbon adds to water footprint in their manufacturing process. Subsequently, this leads to a heavy dependence on nonrenewable resources. Reducing the amount of nonrenewable material by biodegradable and renewable sources of packaging holds the potential to improve waste disposal and decrease the cost of packaging and overall product. The need for alternatives to petrochemical-based plastics is more than ever. The current trend in food packaging calls for the utilization of natural, “environment-friendly” materials, which also have some additional functional properties wherever possible and with some cost benefit. Biodegradable packaging is a very good alternative packaging and a specialized type of biodegradable packaging, that is, the “edible packaging,” is a very good alternative as they also have some other benefits like enhancing shelf life, maintaining the freshness of foods, and can be eaten along with the food without altering the original organoleptic characteristics of the food. The two main considerations with the use of edible packaging can be understood from its name itself, which are firstly “edible,” it means the package is an integral part of the food and may or may not be consumed together with the product and hence should have all the necessary properties. At present, 12 types of edible films are approved by FDA and commercially used, which are made up of materials like polysaccharides, lipids, cellulose, chitosan, starch (potato, corn, wheat, rice), hemicellulose, hydrocolloids like gums (guar, pectin) and alginates, and plant and animal proteins. Secondly, the material chosen should have all the properties to protect the food from the outer environment, provide a good barrier against light, water vapor, other gases, and also have the required mechanical strength to protect the food against damages incurred during storage, transportation, and handling

    Ultrasonic modulated rice bran protein concentrate: Induced effects on morphological, functional, rheological, and thermal characteristics

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    The effect of low frequency (20 kHz) ultrasonication at varying amplitude (20%, 30%, 40% for 30 min) on the morphological, functional, rheological, and thermal characteristics of rice bran protein concentrate (RBPC) from three different rice varieties: Pusa Basmati- 1509, 1121 and Sugandha were undertaken for the study. Scanning Electron Microscopy images showed that sonication treatment changed the microstructure of RBPC as some pores appeared on the smooth particles surface and more disordered structures compared to the untreated sample. Sonication treatment decreased mean particle size, D[4,3] from 89.77 μm (untreated) to 64.34 μm (20% amplitude), and increased surface hydrophobicity significantly (p < 0.05), from 1.34 ± 0.0080 (untreated) to 1.65 ± 0.0081 (20% amplitude) of 1121 RBPC variety. The FTIR analysis showed that sonication treatment altered RPBC secondary structure as β sheets, and random coils increased while reducing α-helix and β-turns. Sonication treatment at a lower amplitude of 20% made RBPCs brighter in color as lightness, redness, and yellowness values increased. The results showed that sonication treatment has improved the foaming capacity (FC), foaming stability (FS), and oil binding capacity (OBC) of all RBPC varieties. The FC increased significantly from 34.10 ± 0.27 (untreated) to 50.13 ± 0.98 (30% amplitude), FS (60 min) from 21.19 ± 0.63 (untreated) to 44.20 ± 0.26 (30% amplitude), and OBC from 1.42 ± 0.05 (untreated) to 1.61 ± 0.01 (30% amplitude) of 1509 RBPC variety, respectively (p < 0.05). Furthermore, water binding capacity and emulsion activity were reduced for all RBPC varieties after sonication, while solubility and digestibility improved for the 1121 variety, whereas reduced for the 1509 and Sugandha RBPC varieties. Frequency sweep analysis showed that sonication treatment reduced both the storage modulus and loss modulus of RBPC dispersions. Moreover, protein gel linkages transformed from non-covalent to covalently cross-link with increasing % amplitude for the 1121 RBPC variety. Ultrasonication at a lower 20% amplitude, first decreased the denaturation temperature (Tp) of 1121 RBPC variety from 72.5 °C to 63 °C, then increased it to 77.3 °C at higher 40% amplitude. In conclusion, under the conditions investigated in this study, sonication treatment has the potential to modify the foaming and oil-binding properties of RBPCs

    The Effect of Modifications of Activated Carbon Materials on the Capacitive Performance: Surface, Microstructure, and Wettability

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    In this review, the efforts done by different research groups to enhance the performance of the electric double-layer capacitors (EDLCs), regarding the effect of the modification of activated carbon structures on the electrochemical properties, are summarized. Activated carbon materials with various porous textures, surface chemistry, and microstructure have been synthesized using several different techniques by different researchers. Micro-, meso-, and macroporous textures can be obtained through the activation/carbonization process using various activating agents. The surface chemistry of activated carbon materials can be modified via: (i) the carbonization of heteroatom-enriched compounds, (ii) post-treatment of carbon materials with reactive heteroatom sources, and (iii) activated carbon combined both with metal oxide materials dan conducting polymers to obtain composites. Intending to improve the EDLCs performance, the introduction of heteroatoms into an activated carbon matrix and composited activated carbon with either metal oxide materials or conducting polymers introduced a pseudo-capacitance effect, which is an additional contribution to the dominant double-layer capacitance. Such tricks offer high capacitance due to the presence of both electrical double layer charge storage mechanism and faradic charge transfer. The surface modification by attaching suitable heteroatoms such as phosphorus species increases the cell operating voltage, thereby improving the cell performance. To establish a detailed understanding of how one can modify the activated carbon structure regarding its porous textures, the surface chemistry, the wettability, and microstructure enable to enhance the performance of the EDLCs is discussed here in detail. This review discusses the basic key parameters which are considered to evaluate the performance of EDLCs such as cell capacitance, operating voltage, equivalent series resistance, power density, and energy density, and how these are affected by the modification of the activated carbon framework

    Working from home during Covid-19:how do we ‘do’ social interaction at a distance?

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    With the rapid adoption of homeworking by organisations across the world owing to Covid-19, employees have been separated from their informal, social networks in the traditional office space. This paper explores how individuals maintain social interaction with colleagues when working remotely. A diary study technique was employed and snowball sampling was used. Initial results from the diaries of 29 participants are presented. The findings highlight various challenges that homeworkers face, including task-related inefficiencies relating to technology-enabled communications in the absence of face-to-face interaction. The paper ends by briefly highlighting how the study analysis will proceed.</p

    A Meta-analysis of Social Commerce Adoption Research

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    Social commerce is a subset of e-commerce that utilises social media to facilitate interaction between sellers and consumers. Over the last number of years, the subject of social commerce has attracted significant attention from many researchers as they attempt to understand the factors affecting its adoption by consumers. A review of results from existing studies suggests inconsistent results for many relationships. Hence, this research has conducted a meta-analysis of 65 studies and synthesized the findings from existing studies in order to estimate the cumulative correlation coefficient (β) and significance (p). The investigation found that behavioural intention, trust, perceived usefulness, and social support are frequently examined dependent variables, that are strongly influenced by a number of independent variables. The findings in this study suggests that perceived usefulness, hedonic value, social commerce constructs, subjective norms, informational and emotional support are important for encouraging social commerce adoption. This research highlights various antecedents that have been theoretically examined in different social commerce studies that explore the effect size through meta-analysis
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