Reviewerly/exHarmony huggingface dataset:
Mitigating Economic Denial of Sustainability (EDoS) in Cloud Environment using Genetic Algorithm and Artificial Neural Network

Economic Denial of Sustainability (EDoS) is a latest threat in the cloud environment in which EDoS attackers continually request huge number of resources that includes virtual machines, virtual security devices, virtual networking devices, databases and so on to slowly exploit illegal traffic to trigger cloud-based scaling capabilities. As a result, the targeted cloud ends with a consumer bill that could lead to bankruptcy. This paper proposes an intelligent reactive approach that utilizes Genetic Algorithm and Artificial Neural Network (GANN) for classification of cloud server consumer to minimize the effect of EDoS attacks and will be beneficial to small and medium size organizations. EDoS attack encounters the illegal traffic so the work is progressed into two phases: Artificial Neural Network (ANN) is used to determine affected path and to detect suspected service provider out of the detected affected route which further consist of training and testing phase. The properties of every server are optimized by using an appropriate fitness function of Genetic Algorithm (GA) based on energy consumption of server. ANN considered these properties to train the system to distinguish between the genuine overwhelmed server and EDoS attack affected server. The experimental results show that the proposed Genetic and Artificial Neural Network (GANN) algorithm performs better compared to existing Fuzzy Entropy and Lion Neural Learner (FLNL) technique with values of precision, recall and f-measure are increased by 3.37%, 10.26% and 6.93% respectively.
Towards Describing Visual Explanation using Machine Learning

Current available visible explanation generating systems research to easily absolve a class prediction. Still, they may additionally point out visible parameters attribute which replicate a strong category prior, though the proof may additionally not clearly be in the pic. This is specifically regarding as alternatively such marketers fail in constructing have confidence with human users. We proposed our own version, which makes a speciality of the special places of house of the seen item, together predicts the category label &amp; interprets why the expected label is proper for the image. The machine proposes to annotate the images automatically using the Markov cache model. To annotate images, principles are represented as states through the usage of Hidden Markov model. The model parameters were estimated as part of a set of images and manual annotations. This is a great collection of checks, albeit automatically, with the possibility a posteriori of the concepts presented in her.
VoiCon: a Matlab GUI-based tool for voice conversion applications

Voice conversion finds applications in a wide variety of areas such as customisation of text to speech systems, voice editing and dubbing, voice restoration systems, etc. in addition to its initial applications of speaker conversion and conversion of speaking styles. The basic steps required for the implementation of voice conversion however remain the same. The alignment of features using various techniques such as dynamic time warping, time sequence matching etc., the development of the mapping function, and finally the conversion of features, are computation intensive and require the researcher to have in-depth knowledge of the various techniques used. In this work, in an effort to reduce the tasks of a researcher interested in using voice conversion for his application, a Matlab GUI-based tool has been designed, implemented and tested for carrying out spectral feature conversion for three applications, conversion of female to male speech, whispered to normal speech and synthetic to natural speech. The tool not only provides an easy to use interface by carrying out feature conversions using various mapping functions but also enables the user to view, save and compare the results graphically.
Clustering, Separation, and Connection: A Tale of Three Characteristics

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
An Automated Tool for Detection and Tutoring of Sources of Ambiguities in Requirements Documents

Software Engineering (SE) is the application of essentials to deal with the analysis, design, development, testing, deployment and management - Software Development Life Cycle (SDLC) - of software systems. Requirements Engineering (RE) is responsible for the most critical task in the SDLC; which is transforming the requirements and wishes of the software users into complete, accurate and formal specifications. One of the main responsibilities of RE is the creation of a software requirements document that exactly, reliably, and totally defines the functional and non-functional properties of the system to be developed. At some point through the RE process, the requirements are written using a Natural Language (NL). On one hand, NLs are flexible, common, and popular. On the other hand, NLs are recognized widely as inherently ambiguous. Ambiguity is noticed in a requirement document when a piece of text is interpreted in distinct ways. This may lead to erroneous software that is too expensive to correct in later phases of the SDLC. Many tools have been developed in the literature to detect ambiguities in requirements documents. Best practices for writing requirements have also been proposed to help avoid ambiguities in the first place. The goal of this paper is to combine features from both approaches by developing the Ambiguity Checker Tutor (ACTutor), which not only detects ambiguities, but also aids in tutoring requirements engineers to apply best practices while writing requirements (rather than merely listing them). The paper is mainly concerned with proving the tutoring effectiveness of ACTutor through empirical evaluation.
Negotiating the Possible Through the Artificial

Relating the concepts of value-sensitive design to decolonial theory, we will describe our attempts to activate resistance to the foundations of modern technicity through a game called Reimagining the Now, which we designed for the Digital Democracies Institute in Vancouver, BC, Canada.We argue that, as digital technologies become embedded in every facet of society, any hope of a digital democracy requires sustained public discourse, imagination, and action that goes beyond an understanding of how digital technologies work, towards a comprehension of the value systems, contexts, and consequences of their creation.To do this we devised a custom card set and large paper playmat as a speculative prompt to help participants rethink existing technologies through different value sets, to imagine with us what a digital democracy -and the world it brings with it -might look like.As part of a larger research endeavour, the game experiments with using speculative design methods as fertile spaces for generating a critical imaginary as a productive way to invite publics to think past taken for granted ideas of 'what is' towards 'how what is' and 'what could be'. Ontologically Orientated design; Value-sensitive design
Core i7 A Research into the Processor

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.
Comparative Performance Analysis of Multilevel Image Watermarking Using Cryptographic Algorithm

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.
Mariana Matus

When people flush their toilets, they also flush chemical information about themselves into the sewer—what they ate, what medicines they took, what health conditions they have. Mariana Matus and her colleagues at Biobot Analytics, based in Somerville, Massachusetts, want to help communities capture that information to confront challenges like the opioid epidemic. “There isn’t just one opioid epidemic. There are many versions of it and many types of [drug] users,” Matus says. Some people use opioids for pain management, whereas others use them recreationally. By measuring the distribution of opioids coming out of various cities’ wastewater systems, Biobot aims to help public health officials deploy the right counteractive program for each situation. Biobot grew out of a research project at the Massachusetts Institute of Technology. Cofounders Matus, who is the CEO, and Newsha Ghaeli, who is the president, met during a collaboration between research groups at MIT to use wastewater
Software Methods to Extend the Dynamic Range

In addition to the hardware methods discussed in Chapter 3, software methods have also been developed (note that there are algorithms other than the ones presented here; many are proprietary). These methods are of great interest in photography, computer graphics, and scientific applications that require extreme dynamic ranges but need to image a static (or almost static) scene.
Reconstructing Emotional Aspects of Computer Mediated Communication Vis-À-Vis Human Relationship

This article attempts to pieces computer mediated communication with an aim to analyse emotional aspects of this communication which seems to be garnering momentum to replace human/face to face communication across all spheres and ramifications of living.It points to technology's obsession at annihilating time and space while attempting an incorporation of elements and complex algorithms which attempts to transmit human emotions as would be in a face to face context.Adopting theoretical angles and arguments in literature, the piece arrives at a position which presents the perspective that although technology promises a lot as regards advancement in communication using computer-based platforms, it may never capture the essence nor replace the universe of valuable insights and elements which defines human relationships and communication.
Generating Rainfall Data using GANs

Rainfall prediction is one of the major discussions in the meteorology because it is a major factor on which many things in the environment rely on. Neural Nets or any other machine learning algorithms need very large amount of data in order to achieve better accuracy but sometimes data can be scarce, this type of problems can be resolved by using Generative Adversarial Networks. Generative Adversarial Networks which are known for generating data by using the existing features from the old data, like generating images etc. There are many types of datasets which are scarce, rainfall data in one among them. So, the proposed system generates the rainfall data using GAN. The generated data is used for training the classifier, which predicts the rainfall.
Application of Shainin® Component Search&trade; approach as root cause analysis tool for drop in two-wheeler fuel economy

The fuel economy of continuous variable transmission (CVT) scooters drops about 15% of claimed value in city driving conditions. The present study deals with the finding of root causes for drop in fuel economy of CVT driven scooters. An attempt has been made for resolution of the problem using Shainin® methodology with Component Search tool. 110 cc scooters were selected for the comparison of best of the best (BOB) assembly and worst of the worst (WOW) assembly. After the systematic elimination process, clutch friction liner, rubber belt, and CVT fly masses have been found as contributing components to the root problem for drop in fuel economy. The findings have been validated through capping run and factorial analysis. Contribution of significant components and interactions has been derived using analysis of variance (ANOVA).
The Development of E-Tracking Application

This paper describes the development of e-Document Traking System based on Mobile Application to help patients and officers to keep track of the processes in order to resolve problems of working with in a day. This application was designed to support and enhance document tracking system. In addition to reducing paper usage, the application provides a map and give a direction in the hospital by applying QR Code scanning technology on the android operating system for data gathering. The users could see the hospital map which has shown a directory and description in each floor as the simulation. QR Code technology would run on a camera phone and QR Code Reader program for photo shooting, then it would process this QR Code as the original data for scanning by phone or the other device. To evaluate the system performance, questionnaires for system usability and Black Box Testing were used to measure expert and user satisfaction. The findings revealed that the users were more interested in QR Code application for helping patients in the hospital and the satisfaction on the system was in the highest level (X = 4.66, SD = 0.11).
Event-Driven Programming

Building on the previous chapter, which covered how to make UI components appear on the screen, this chapter explains how component events can be handled to add underlying code to the UI. It outlines the features of Java that can manage events being fired from various components and mouse actions. Various types of event and event listeners are introduced, including ActionEvents, MouseEvents, and ChangeEvents. Different ways of writing event listeners are described, namely public classes, inner classes, local inner classes, anonymous inner classes, and lambda expressions. The chapter explains how each of these approaches has its own characteristics that make it appropriate for a specific context. The GridBagLayout is used to demonstrate how flexible component layouts can be built to reduce the communication overhead of alternative approaches such as using multiple panels. Finally, the chapter looks at the importance of separating the underlying data model from the view, so that the model can be separately tested before having a UI added and can be reused independently of the user interface.
MDE-Oriented Process to Manage Requirement Inconsistencies

Requirements inconsistencies could arise for multiple reason and at all levels of hierarchy. in context of a complex system detecting inconsistencies among requirements is important and needs a rigorous practice. It is all the more crucial task when they are specified in informal language. Thus, managing inconsistencies is indispensable to success any system design. Constraint specification language ( CSP) formalism is used to define rules to spot conflicted requirements. In this paper, we present a process founded on ReqDL language in order to manage requirements inconsistencies at all level of hierarchy. we describe an approach to support inconsistencies identification and resolution among requirement
Deep Submerged Image Enhancement and Restoration Process using CNN

In oceanographic studies, underwater imagery plays a vital role. Underwater imaging has some of the advanced applications such as hand-held stereo-cam, fish-pond monitoring, etc. The major sources of quality degradation in most of the underwater imaging processes are scattering and absorption which occurs due to light assimilation. In this paper, we propose a two step-strategy in which the former is the enhancement process and latter is the restoration process. Our unavoidable selective and quantitative appraise uncover that our upgraded pictures and recordings have better accessibility in the dark locales, progressed global and local contrast and better edge sharpness. In order to get rid of image quality impairments, we follow a method which involves only a single image. The major advantage of this method is that it does not require a specialized image-capturing equipment. Moreover, our substantiation gives a better accuracy by deploying Convolutional Neural Network(CNN) algorithm.
«Caro e gentile Solmi», «Carissimo Saba». Lettere fra Umberto Saba e Sergio Solmi

This article contains what survives of the correspondence between Umberto Saba and Sergio Solmi, covering a 30-year period that extends from the time they met to the poet’s death in 1957. The letters are primarily from Saba, who most likely did not carefully conserve those he had received from Solmi. The correspondence is important in that it bears witness not only to the decisive role that Solmi played in Saba criticism but also to Saba’s exquisite style as a letter writer.
E-Government in Way Jaha Village

A computer technology plays a very important role for development in all fields. The rapid development of information technology greatly affects the agency's performance, because the time could be utilized more effectively and efficiently. Pekon, is a Lampung's word, means village. The existence of an information system in Pekon Way Jaha is very helpful for the community and the government to run data browser. and it is useful to provide an overview of what is presented in PekonWay Jaha. By the existence of this system, the data can be searched faster so that it can minimize time, costs and errors that may occur. The existence of a computerized system in a field, can facilitate the data recording and processing, reduce errors in recording, and produce reports based on certain categories as needed.
Dedication

Previous articleNext article FreeDedicationWilliam A. Oram and Susannah Brietz MontaWilliam A. Oram Search for more articles by this author and Susannah Brietz Monta Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreWith this volume Andrew Escobedo retires as an editor of Spenser Studies. Witty, acute, and sure of judgment, he has excelled as critic and editor. To the past nine volumes he brought an unusually wide range of knowledge—philosophical and historical, classical, early modern and modern—and a rigorous attention to argument. He approached each manuscript (including some in this volume) with patience, care, and optimism about its possibility. We thank him for all that he gave so open-handedly to the journal—the wit, the learning, and the care. We will miss him. Previous articleNext article DetailsFiguresReferencesCited by Spenser Studies Volume 332019 Article DOIhttps://doi.org/10.1086/702187 © 2019 University of Chicago. All rights reserved.PDF download Crossref reports no articles citing this article.
Improving Image Steganalyser Performance using Second Order SPAM Features Extracting through Contourlet Transform

The major challenge posed by feature based blind steganalysers is the scheming of useful image features, which offers true existence of the stego noise rather than the natural noise in the images. Despite hundreds of features being applied in the real time implementation, only low detection accuracy could be achieved. Hence, this paper proposes a new model for detecting the stego image coupled with an examination of the task by applying a two-step process. (a) Extraction of the second order SPAM (Subtractive Pixel Adjacency Matrix) as features and the second order SPAM features of coefficients and co-occurrence matrices of sub band images from the contourlet transform. (b) Implementation of the system, based on an efficient classifier, Support Vector Machine which is capable of providing the higher detection rate than the existing classifers. Full- fledged experimentation with huge database of clean and steganogram images produced from seven steganographic schemes with varying embedding rates, and using five steganalysers were carried out in this study. The study shows that the proposed paradigm enhances the detection accuracy rate substantially and validates its efficiency with its better performance even at low embedding rates.
TEllipsoid: Ellipsoidal Display for Videoconference System Transmitting Accurate Gaze Direction

We propose "TEllipsoid", an ellipsoidal display for video conference systems that can provide not only accurate eye-gaze transmission but also practicality in conferences, namely the convenience to use and the preservation of the identity of the displayed face.The display comprises an ellipsoidal screen, a small projector, and a convex mirror, where the bottom-installed projector projects the facial image of a remote participant onto the screen via the convex mirror. The facial image is made from photos shot from 360 degrees around the participant. Moreover, the image is modified to improve identity. The gaze representation is implemented by projecting the 3D model of eyeballs onto a virtual ellipsoidal screen.We evaluated the gaze transmissibility of the display in conference situations. As a result of experiments, we concluded that accurate gaze transmission is available in conferences when the angular distance of the adjacent participants is more than 38.5 degrees.
Adaptive multimedia data hiding and watermarking

Watermarking is a technique of hiding a message about a work of media within that work itself in· the purpose of protecting the digital information against illegal duplication and manipulation. The objectives of this study are to analyze the robustness and distortion performance of watermarking system and to explore watermarking schemes which balance the robustness-distortion tradeoff optimally. In this thesis, We present a detector algorithm to adaptively extract spread spectrum watermark by filtering the watermarked images with Wiener filter. Two optimization algorithms for quantization watermarking are proposed. First one optimizes uniform quantization based look-up table embedding which minimizes watermarking distortion. Secondly, we analyze the robustness-distortion tradeoff and formulate the robustness-distortion tradeoff into a Lagrangian function. Hence optimal quantizers for watermarking subject to given robustness or fidelity constraint are achieved.