Reviewerly/exHarmony huggingface dataset:
Developing an evolution software architecture framework based on six dimensions

With the growing number of software architectural evolution methods, the need to develop a framework based on well defined dimensions to analyse approaches is now a prerequisite for practitioners in order to analyse, compare and classify methods within the field of architectural evolution. In this paper, we propose an evolution framework based on six dimensions for analysing, comparing and classifying existing and future evolution methods. The proposed architectural evolution framework adopts Zachman analytic tool (answering what, why, where, who, when and how questions). The framework relies upon identifying dimensions that researchers would take into account while developing a new evolution approach. The set of the proposed dimensions whether combined or individually can serve as a basis to explore further classification paradigms. The proposed framework is supported by an empirical study that involves surveying and analysing 119 research methods related to the area of architectural evolution.
Links between School Design and Pedagogy and Community

No AccessFeb 2019Links between School Design and Pedagogy and CommunityAuthors/Editors: Peter Barrett, Alberto Treves, Tigran Shmis, Diego Ambasz, Maria UstinovaPeter BarrettSearch for more papers by this author, Alberto TrevesSearch for more papers by this author, Tigran ShmisSearch for more papers by this author, Diego AmbaszSearch for more papers by this author, Maria UstinovaSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1378-8_ch5AboutView ChaptersPDF (0.4 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Explores how the design and layout of schools can support the pedagogy and how schools can be designed to foster productive relationships between schools and their local communities. Goals involve striving to create innovative spaces for learning while also respecting the professionalism of the educationalists involved and their current traditions, skills, and constraints, as well as creating schools that are spatially flexible so that over the long term they can support rather than obstruct any changes or developments in pedagogical practice. Other efforts include implementing any innovations in educational practice by ensuring that there is a consistent fit between the vision behind the innovation, teachers’ capabilities and motivations, and the characteristics of the spaces that are available, as well as increasing the flexibility of existing schools. The advantages of seeing the school in the context of its community include involving community stakeholders, exploring the potential of community resources, and allowing community members to use the school’s facilities. Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: February 2019ISBN: 978-1-4648-1378-8 Copyright & Permissions Related TopicsEducation KeywordsSCHOOL CONSTRUCTIONACCESS TO EDUCATIONEDUCATIONAL OUTCOMESINVESTMENT IN EDUCATIONRESOURCES FOR EDUCATIONQUALITY OF EDUCATIONEDUCATIONAL INSTITUTIONSEDUCATIONAL ATTAINMENTINFRASTRUCTURE MAINTENANCEINDOOR AIR POLLUTIONAIPINSTITUTIONAL DESIGNCURRICULUMEDUCATION REFORMTEACHERS PDF DownloadLoading ...
Customer Experience Posting an Online Review and eWOM Intent: An Abstract

The recent development of Internet communication platforms has caused electronic word of mouth (eWOM) to become an increasingly important source of information for consumers (Cheung et al. 2008). One type of eWOM is of particular consideration—online reviews. Previous research shows that online reviews impact customers throughout their purchasing experience, from attitudes to products (Lee et al. 2008) to the final product choice (Senecal and Nantel 2004). In other words, a customer experience with a product starts with consulting online reviews and ends with leaving feedback online. There are several motivations for publishing online reviews: platform assistance, venting negative feelings, concern for other consumers, extraversion, social benefits, economic incentives, helping the company, and advice seeking (Hennig-Thurau et al. 2004). Nonetheless, companies still struggle to foster useful and positive online reviews (King et al. 2014). Due to their growing influence, online reviews are becoming increasingly relevant to marketers (Chen and Xie 2008). The empirically confirmed impact of reviews on consumers and the difficulty to obtain them have led companies to exploit malicious practices in online reputation management (Xiao and Benbasat 2011). These corporate practices aiming to manipulate opinions by posting deceptive content are referred to as fake reviews and have become alarmingly widespread (Mayzlin et al. 2014). Therefore, online review platforms have a difficult challenge of paramount importance to control the quality and authenticity of the published reviews. As manual moderation of online reviews is time-consuming and often not effective (Masip et al. 2012), online review platforms turn to a more efficient method of automated filtering of malicious reviews (e.g., Mukherjee et al. 2013). However, every filtering method has an error, and the biggest risk of these filtering systems is to block authentic content and dissuade consumers from sharing real experience. We carry out an online experiment to investigate the impact of customer experience with online reviews’ filtering systems on customers’ emotions and satisfaction with the product and the online platform, as well as their intention to continue publishing online reviews. The 219 respondents were asked to write an authentic review and were equally distributed among three experimental cells: (1) the review is accepted right away; (2) the review is required to be modified to conform to platform’s rules and published after the modification; and (3) the review is rejected. Our results show that reviewer’s motivation defines his/her reaction to the automatic filter. Our contribution is twofold: first, we advance the literature on automated deception detection mechanisms and their use by online reviewing platforms and, second, we propose applicable managerial solutions to avoid losing authentic content and engaged customers. References Available Upon Request
Web data geostatistics and analytics to evaluate the impact of a cultural event

This work proposes a methodological approach that analyses and interprets data resulting from cultural events fruition, in order to obtain information useful to improve cultural events management and encourage the cooperation between the different stakeholders involved. The methodology, based on geostatistics and text analytics techniques, has been proposed and applied to a real case study: the Italian folk music festival 'La Notte della Taranta'. In particular, text analytics techniques, like semantic and sentiment analysis, integrated with spatial analysis techniques, allowed identifying sentiment score spatial variation and locating geographical areas characterised by negative or positive average sentiment score, in order to understand the impact of a cultural event on the local territory. The particular structure of the event (itinerant) and the Salento territory where it is rooted, an area rich in traditions and folklore, make this festival an appropriate use case for the approach proposed.
A New Technique of Web Page Classification and Optimization

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A Vision of Internet of Things

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
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Relevance Based Feature Selection Algorithm For Efficient Preprocessing of Textual Data Using HMM

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Development of Cutter Head Design in Cutter Suction Dredger with Thickness and Pitch Variation

The need for dredgers for the shallow water in the sea with a very high level of siltation on the coast of Indonesia is a factor worth considering. For example, coastal areas in Ujung Pangkah sub-district, Gresik district, East Java province. The choice of the area is due to the many institutions and corporations that are back and forth utilizing these waterways. But the main obstacle to making a Cutter Suction Dredger (CSD) is almost all the equipment needed is imported, for example, the main equipment is the cutter head. Therefore looking at the needs, economics and technology factors, this paper will discuss the cutter head design. Available data is a request from the owner, 40KW power cutter head; 1000mm cutter diameter; 30rpm rotation. The force distribution given 5950 N is in accordance with the dredging condition which is to have a strong material tension to be estimated to work at a relatively Soft density of &lt;100 Mpa and Medium around 100Mpa - 170Mpa. The expected results of this design are to obtain a proportional design before the production process and to function at a minimum according to specifications. The usefulness of this design really hopes to be followed up to the production stage and can be applied.
Saliency Detection via Objectness Transferring.

In this paper, we present a novel framework to incorporate top-down guidance to identify salient objects. The salient regions/objects are predicted by transferring objectness prior without the requirement of center-biased assumption. The proposed framework consists of the following two basic steps: In the top-down process, we create a location saliency map (LSM), which can be identified by a set of overlapping windows likely to cover salient objects. The corresponding binary segmentation masks of training windows are treated as high-level knowledge to be transferred to the test image windows, which may share visual similarity with training windows. In the bottom-up process, a multi-layer segmentation framework is employed, providing local shape information that is used to delineate accurate object boundaries. Through integrating top-down objectness priors and bottom-up image representation, our approach is able to produce an accurate pixel-wise saliency map. Extensive experiments show that our approach achieves the state-of-the-art results over MSRA 1000 dataset.
Book Review: Uma Lele, Manmohan Agarwal & Sambuddha Goswami (2018). Patterns of Structural Transformation and Agricultural Productivity Growth

The process of structural transformation has constantly interested economic systems, as it manifested itself the shift from agriculture to non-agriculture activities and subsequently from manufacturing to service activities. Structural change of an economy is both cause and a determinant of restless economic growth (Metcalfe, 2002). But this does not mean that the agriculture being a low productive sector will eventually vanish from the system. On the contrary, productivity in agriculture should increase over a period as technological advancements spreads to the agricultural sector, and yield per hectare would surly then rise along with labour efficiency.
Analisis Perbandingan Perbaikan Kualitas Citra Pada Motif Batik Dengan Konsep Deteksi Tepi Robert, Sobel, Canny Menggunakan Metode Morfologi

Image results from quality edge detection are not optimal. From these problems a method is needed to improve the image quality of edge detection. The method used is Dilation Morphology on the results of edge detection of batik patterns. The results of testing the improved image quality of edge detection 10 batik patterns using Dilation Morphology show that Canny operators are able to produce very high accuracy from operators Robert and Sobel, with the percentage of Canny operators is 80%. While Robert operators with a percentage of 40% and Sobel operators 60%. The application of Dilation Morphology to operators Robert, Sobel and Canny can improve image quality of edge detection and improve accuracy in batik patterns.
How to detect qubit environment entanglement in pure dephasing evolutions

We propose a straightforward experimental test for qubit-environment entanglement generation during qubit pure dephasing. The protocol is implemented using measurements and operations on the qubit only - no measurement of the system-environment state is required.
Interdisciplinary Student Engagement As A Potential Condition Of Developing Professional Creativity

The modern way of all society spheres development is sustainable and encourages the integration of the scientific processes. The transfer of ideas and research methods from one scientific area to another through the cognitive potential of different disciplines reflects this tendency. All these processes lead to a collaboration between the actual scientific and engineering spheres: the innovation projects today are characterized by increasing science-intensity, complexity and innovativeness, including not only technological, but also environmental, social, economic aspects. This multidimensionality determines the need for specialists who are able to find and solve complex professional tasks. It is this synthesis of science and production that can increase the competitiveness of the countrys economy in the modern dynamics of all processes. Such conditions stimulate the interdisciplinary interaction in higher education institutions. In this respect the professional creativity of a technical specialist is important and is understood as the ability to create new products and get high performance results through the realization of the individual creative abilities. However, pedagogical science does not pay enough attention to the consideration of professional creativity in the context of creating and organizing the work of interdisciplinary project teams. The product of the teams activities is not presented in the light of its contribution to the formation of the students professional personality. Therefore, in this paper we aim at revealing the potential of interdisciplinary interaction for the development of professional creativity, taking into account the characteristics of the product as a result of project activities.
Perbandingan Metode Cooperative Learning Tipe Numbered Heads Together (NHT) dengan Metode Inquiry Learning pada Mata Pelajaran Matematika di Kelas IV SDN 01 Rensing

The purpose of this study was to determine whether there were differences in learning achievement by using the Cooperative Learning method type NHT with the Inkuiry Learning method on grade IV math subjects SDN NO 01 Rensing. This research was conducted by sample research where the sample from this study was class IV which consisted of Class IV-B and IV-C which numbered 56 people consisting of 30 men and 26 women. In this study divided into NHT type Cooperative class consisting of 28 students (IV-B) and Inkuiry class consisted of 28 students (Class IV-C) with the provisions of the learning experiment class using the NHT type Coperative Learning method while the learning control class by using the Inkuiry Learning method. After doing the research, the highest value of 96 and the lowest value of 40 for the NHT type Cooperative class is highest, while the highest value is 100 and the lowest value is 36 for the Inkury class.After the results of the research data are processed, the average value for the NHT type Cooperative class is 69.43 with a standard deviation of 15.16 while the Inkuiry class average is 64.18 with a standard deviation of 19.66. Thus learning using the type of Cooperative Learning method including NHT high category while learning using the Inkuiry Learning method including the medium category. So it can be concluded that there are differences in learning achievement using the Cooperative Learning method type NHT by using the Inkuiry Learning method on mathematics subjects in class IV SDN NO 01 Rensing.
Extraction of Cipher Texts for Temporary Keywords Search on Confidential Data in the Cloud

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
New Jamming Method of Netted Radar Based on Time Synchronization Errors

Aiming at time synchronization errors among netted radar sub-stations, the paper established the model that time synchronization errors influenced the netted radar cross-location accuracy, and proposed a new method of using time synchronization errors to jam netted radar. Firstly, time synchronization errors were caused among radar stations in the network by applying deceptive jamming to GPS navigation satellites. Then, jammed the location and tracking of jamming sources in the mode of netted radar cross-location. Finally, according to the parameters of typical netted radar and target jammer, simulation research was developed, and the results verify the methodâ€™s effectiveness.
Institutional Logics and Digital Collective Action at Amnesty International – the Decoder Initiative

As social movement organizations (SMOs) enter the platform economy to transform their processes and scale their impact, they have to reckon their traditional logic with the emerging logic of the platform organization.In this paper we examine the Decoder initiative at Amnesty International.The Decoder initiative introduced the global SMO into the uncharted territory of online microtasking of political activism.The platform allowed rapid scaling of repetitive unstructured data tasks to generate large quantities of standardized data, leveraging the work of thousands previously unaffiliated digital supporters around the world.While partially contrasting, we trace and examine the coexistence of the SMO and digital platform logics.We conclude with implications for theory and practice.
Design of an Improved Data Deduplication Technique for Cloud Storage

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Pedestrian Detection in Unmanned Aerial Vehicle Scene.

With the increasing adoption of unmanned aerial vehicles (UAVs), pedestrian detection with use of such vehicles has been attracting attention. Object detection algorithms based on deep learning have considerably progressed in recent years, but applying existing research results directly to the UAV perspective is difficult. Therefore, in this study, we present a new dataset called UAVs-Pedestrian, which contains various scenes and angles, for improving test results. To validate our dataset, we use the classical detection algorithms SSD, YOLO, and Faster-RCNN. Findings indicate that our dataset is challenging and conducive to the study of pedestrian detection using UAVs.