Reviewerly/exHarmony huggingface dataset:
Serials Industry: Truth or Dare

SUMMARY. This panel, comprising experts from an academic library, a publisher and two vendor companies, engaged the audience and each other in a series of discussions on the problems and challenges currently facing each of the active members in the scholarly communication chain. The primary topics covered were: the recent flurry of cancellations of e-journal packages by libraries and consortia, evaluating vendor sustainability, jobbing orders (or &quot;where do you put your eggs”), the cri138teria used to make acquisition or cancellation decisions, and standing orders. [Article copies available for a fee from The Haworth Document Delivery Service: l-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt; https://\v\vw.HaworthPress.com &gt;]
Ma chine Learning Based Efficient a nd Secure Storage Mechanism i n Cloud Computing

The cloud is an online platform that offers services for end-users by ensuring the Quality of services (QoS) of the data. Since, the user’s access data through the internet, therefore problem like Security and confidentiality of cloud data appears. To resolve this problem, encryption mechanism named as Rivest–Shamir–Adleman (RSA) with Triple Data Encryption Standard (DES) approach is used in hybridization. This paper mainly focused on two issues, such as Security and Storage of data. The Security of cloud data is resolved using the encryption approach, whereas, the data storage is performed using Modified Best Fit Decreasing (MBFD) with Whale Optimization algorithm (WOA)&amp;Artificial Neural Network (ANN) approach. The neural network with the whale as an optimization approach model makes sure the high confidentiality of cloud data storage in a managed way. From the experiment, it is analyzed that the proposed cloud system performs better in terms of energy consumption, delay, and Service Level Agreement (SLA) violation.
Mining historical changes to predict software evolution

Software evolution reflects the progress volume of the development process. This increasing volume is based on a sequence of incremental changes and maintenance activities. As volume increases, more resources are needed to control and handle future change requests. Developers and designers need to be able to analyse and predict how the software evolves in advance, in order to better allocate needed resources. Better and correct predictions help in estimating the required resources as cost and maintainers. Prediction can also help in setting the strategies and assumptions to solve the problems that can be encountered when evolving a project from version to the next. This paper presents a prediction model to predict the evolution of software projects. A set of hypotheses are examined to predict the evolution of specific parameters based on machine learning techniques. Data mining approaches are used to test the hypothesis on different versions of two software projects. Experimental results showed that future changes in software systems can be predicted using changed parameters of the previous version.
Review Paper on High Performance Integrated Circuit for Multiplier-less Finite Impulse Response

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.
Secure Data Replication Management Scheme with Better Data Accessibility

Cloud computing technology has gained substantial research interest, due to its remarkable range of services. The major concerns of cloud computing are availability and security. Several security algorithms are presented in the literature for achieving better security and the data availability is increased by utilizing data replicas. However, creation of replicas for all the data is unnecessary and consumes more storage space. Considering this issue, this article presents a Secure Data Replication Management Scheme (SDRMS), which creates replicas by considering the access frequency of the data and the replicas are loaded onto the cloud server by considering the current load of it. This idea balances the load of the cloud server. All the replicas are organized in a tree like structure and the replicas with maximum hit ratio are placed on the first level of the tree to ensure better data accessibility. The performance of the work is satisfactory in terms of data accessibility, storage exploitation, replica allocation and retrieval time.
Electronic Journals and Aggregated Databases: New Roles for Public Service Librarians

Electronic journals and aggregated databases affect the roles and tasks of public service librarians in several ways. Jeanie Welch and Melissa Holmberg discuss significantly different roles they have acquired as a result of their libraries’ electronic journals and aggregated databases. Welch elaborates on her changing roles in collection development as she evaluates serial collections in a mixed print and electronic environment, decides which print serials titles to cancel when duplicated by full-text electronic access, and negotiates new print serials when electronic access is not available. Holmberg describes her new role of partnering with Instructional Technology to educate teaching faculty about full-text 318electronic resources that legally and technologically can be incorporated into online course materials. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]
IEEE INFOCOM 2020 Workshops: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) - Program

From virtual reality and teleportation, to telepresence, augmented reality, holograms, and remotely controlled robotics, these future network applications promise an unprecedented development for society, economics and culture by revolutionizing the way we live, learn, work and play.Unfortunately, today's Internet falls short when it comes to providing the stringent performance requirements imposed by such applications.This is due to several fundamental limitations in the design of the current network architecture and communication protocols.As a result, there is a pressing need to rethink the network architecture and protocols, and efficiently harness recent technological advances in terms of virtualization and network softwarization to design the Tactile Internet of the future.In this talk, we start by analyzing the characteristics and requirements of future networking applications and highlight the limitations of the current network architecture and protocols.We then draw a rough sketch of FlexNGIA, a Flexible Next-Generation Internet Architecture that is able to satisfy the requirements of future Internet applications and services.We also discuss through some use-cases how FlexNGIA could ensure the service level guarantees required by some of the future network applications.
Development of a hospital virtual tour with virtual reality-based panorama

Information technology has an important role in socialising the institutional profile of hospitals as public services. Virtual reality (VR) technology, along with panoramic photography as a multimedia component, supports the need for visualisation that can be made almost as real as the original. In this study, we utilised VR to introduce hospital buildings and their rooms. The multimedia development life cycle method was used in this development. The study aims to analyse the effect of text cueing on panoramic design. Users can explore the hospital tour virtually. User experience questionnaire (UEQ) was used to evaluate each application. The significance level of the comparisons was tested by using the Wilcoxon test. In general, the UEQ assessed both applications in the range above average to excellent scores. The experimental results showed that the approach can enhance user experience aspects such as attractiveness, stimulation, and novelty. Perspicuity, dependability, and novelty were not significantly improved according to the Wilcoxon result. This study implies that using text cueing enhances user experience in a virtual tour with panoramic VR.
APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES

Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data mining uses pattern recognition technology that is similar to statistical techniques and mathematical techniques. The patterns found can provide useful information for generating economic benefits, effectiveness and efficiency. Algorithm Naive Bayes Classifier is one method of data mining that can be used to support effective and efficient promotion strategies. The Naive Bayes Classifier algorithm is used to predict the interest of the study based on the calculations performed. The data used are new student registration data from 2014 until 2016 at Bina Darma University. The results of this study are new models that are expected to provide important information can be used to assist the Marketing Team of Bina Darma University Palembang in policy making and implementation of appropriate marketing strategy. The results obtained are expected to help to support the promotion strategies that impact on the effectiveness and efficiency of promotion and increase the number of new students who will register.
Cybercrime takedowns

In Russia, the FSB security service announced that it had charged 25 individuals with payment card fraud that involved 90 websites that sold stolen card details.
Enriching Image Retrieval System Through CNN for Sketches And Images

Image retrieval is being a one of the widely research areas in the current paradigm of the software industry. This is mainly due to as a proverb "image can speak many words", which is because of its diversity of the contained objects and their pattern. Many search engines including Google, is providing the option of searching images by giving query image, most of the time this searching is done by the averaging the features of the images which yields considerable low precision. Convolution neural network and Recurrent neural network are widely used mechanisms to handle the image processing techniques in image retrieval. On using of CNN and RNN many systems are yielding the low accuracy because of the features that they are considering. And again, only finger counting systems are dealing with the image retrieval mechanism for the input of the object rather than the whole image. So as a tiny step towards this, this research article proposes a model of image retrieval using the input as image sketch and images using the histogram features and Region of interest based on the position, volume, color and orientation through the interactive CNN model. The image search is performed using the CNN through K means Clustering and Haar wavelets.
Project management and network planning

In this chapter, the use of a network as a tool for generating team spirit and creating confidence in the schedule is illustrated by an example of an actual site-preparation contract. An example of a network used to describe a method statement for an erection contract is also given. The important use of networks to justify claims for extension of time is explained by the inclusion of two real-life examples.
Helper Classes

In this chapter, you’ll review the helper classes of the MmgBase API. Helper classes are usually simple to initialize, use static methods to expose functionality, and provide support for different features of the API. We’ll encounter the following classes during this review:
Neighbor Search with Hash Map Indexing Technique for Complex Networks

Neighbor Search with Hash Map Indexing Technique is used to get the high performance when the optimal path is searched in the complex networks.This system can also give advice the public bus passengers about the travel route depend on the travel time and cost.Moreover, the proposed technique is highly performance one if it compares about the response time of many other popular cited shortest path algorithms.Especially it contains two main parts for finding the optimal path, the first one is dividing the complex large tree into small sub-trees using divide and conquer at an optimal threshold value.The second one is using heuristic neighbor search instead of searching the heuristic values of all expanded nodes at current level.Heuristic neighbor search and hash-map indexing technique is used together to reduce the time complexity when the heuristic values are searched dynamically depend on the user query to reach the target.The proposed system is faster than the popular bi-directional heuristic search A* algorithm, previously proposed combined forward and backward heuristic search algorithm and modified heuristic search algorithm.Road network and bus network in Yangon Region is used as the case study for spatial database.
Effective Genre Classification - Understanding Url And Webpage Attributes For Classification

With the boom in the number of internet pages, it is very hard to discover desired records effortlessly and fast out of heaps of web pages retrieved with the aid of a search engine. there may be a increasing requirement for automatic type strategies with more class accuracy. There are a few conditions these days in which it's far vital to have an green and reliable classification of a web-web page from the information contained within the URL (Uniform aid Locator) handiest, with out the want to go to the web page itself. We want to understand if the URL can be used by us while not having to look and visit the page due to numerous motives. Getting the web page content material and sorting them to discover the genre of the net web page is very time ingesting and calls for the consumer to recognize the shape of the web page which needs to be categorised. To avoid this time-eating technique we proposed an exchange method so one can help us get the genre of the entered URL based of the entered URL and the metadata i.e., description, keywords used in the website along side the title of the web site. This approach does not most effective rely upon URL however also content from the internet application. The proposed gadget can be evaluated using numerous available datasets.
Survey on Material and Shape Variations in Pipe Joints

In order to understand the actual strength and shape of pipe joints, and the difference from the nominal values determined by the code, material certification data and shape measurement data in the previous studies were collected. It was found that the yield stress and ultimate strength were approximately 20-40% larger than the values determined by the Japanese industrial standard. As for the shape data, the outer diameters and the wall thicknesses were investigated. The outer diameters were almost same with the nominal value. It was confirmed that the wall thickness of the elbow pipe tended to be slightly thicker on the intrados side and slightly thinner on the extrados side, and the variation from the nominal value is up to about 8%. As for the tee pipe, the wall thicknesses were distributed unevenly in the pipe joint, and the thickest position was the bottom of the tee pipe. The maximum wall thickness was 38% larger than the nominal value.
Measuring digital transformation impact in Jordan: A proposed framework.

The digital transformation vision (REACH 2025) is essential for transformation and enabling individuals, sectors, and companies in Jordan to adopt digital solutions and build a robust ground in conducting business. The government in Jordan launched the REACH2025 Vision in 2016, and it has taken many serious measures to bring sectors, companies, and individuals to virtual digital by 2025. This government's vision consisted of seven dimensions (Smart Specialization and demand-driven innovation, Public Sector Innovation, Tech Start-ups and Entrepreneurs, ICT Skills, Capacity and Talent, Enabling Business Environment, Smart digital economy infrastructure, and Governance), and 18 actions to implement over ten years. The researchers used these dimensions to build a framework to measure the impact of government progress on enabling individuals, sectors, and companies, on productivity, and encouraging investment. The researchers used a sample of 196 respondents from various disciplines to figure out attitudes and evaluate government actions. The researchers also used responses to validate the proposed theoretical framework in the components of the digital economy. The results revealed positive attitudes towards the development and implementation, and excellent in some areas, while some measures need strengthening and re-evaluation. The study recommended employing the proposed framework to measure the actual impact of the digital transformation. The study also advises leading future research towards further empirical examination to validate the framework proposed.
Violence Detection and Target Finding using Computer Vision

Recognizing savagery in recordings through CCTV is basic for requirement and investigation of reconnaissance cameras with the plan of keeping up open wellbeing. Moreover, it will be an incredible device for securing kids and help guardians settles on a superior educated choice about their children. However, this can be a difficult drawback since detecting certain nuances with no human administration isn't entirely technical however also a conceptual problem.So, our idea is to use computer vision to develop an automated technique in detecting the violent behavior/street crime criminals through surveillance cameras installed in cities and towns. When the surveillance cameras detect the abnormal behavior, it captures the scene and generates an alert by sending the captured image to the nearby police station. Further, the CCTV cameras using Cloud trigger the near-by cameras to track the particular target and its location.
PELATIHAN PEMBUATAN MODEL 3D ALAT PERAGA EDUKASI HIDROLOGI BERBASIS AUGMENTED REALITY UNTUK GURU

Augmented reality in Indonesia has been widely used as a media aids in teaching in the classroom, to enhance a better learning interaction between teachers and students. Students can learn independently by observing augmented reality objects that are developed without the need to be guided. Unfortunately developing an augmented reality application takes a lot of effort especially for teachers, there are not many teachers who can develop an augmented reality application. Based on these problems, through the APSI organization, community service activities were carried out in the form of training on making 3D models based on augmented reality which was attended by representatives of 15 teachers from Jadebotabek. The training activities were divided into 3 sessions, namely the first session through the lecture method, the second session the guided tutorial method and the last session with training. The results of the implementation of this training are the teacher is able to make augmented reality applications independently and is able to make augmented reality based hydrological teaching aids that can be used to enrich learning in the classroom.
Implementation Of Self-Regulated Learning Model In E-Learning English Writing

This Academic article discusses the implementation of self-regulated learning model in e- learning English Writing, especially on enriching writing skill. This study uses a qualitative method. The discussion of this article uses many points of views of self-regulated model learners, such as Albert Bandura, Barry Zimmerman, Anananita Bramuci, Popa Daniela, and Ernesto Panadero. According to the authors' interpretation, the discussion shows several results. (1) English writing skills require serious effort and practice in formulating, developing and analyzing ideas, especially for second / foreign language learners. (2) The understanding of English language grammar and vocabulary is indispensable for second / foreign language learners. (3) The self-regulated learning model can increase the learning motivation because this model encourages students to acquire knowledge and skills on their own voluntarily; and (4) learners who have high self-regulated learning, will have good learning outcomes as well.
Domain-Independent Feature Extraction

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
Software Contradictions

This chapter will explore the main ideas of Software Contradictions and concepts created by using software principles. In 2007, an Invention Machine Corporation’s research team (including the author) identified the Software Contradictions defined in this chapter. Using the same structure that describes System Contradictions, these Software Contradictions include the 24 most often used software parameters, 40 software principles that resolve Software Contradictions, and a table for the different combinations of conflicting parameters of Software Contradictions. Invention Machine Corporation has graciously allowed this information to be included here.
MarineVerse enables more people to sail!

MarineVerse wants to promote and share the sport of sailing with the world by providing sailing education, growing as a sailor, socializing, and having entertainment using virtual reality technology. Current VR sailing applications are designed for Valve Index, HTC Vive, Oculus Rift, and Oculus Quest, and flagship products are MarineVerse Cup and VR Regatta.