Reviewerly/exHarmony huggingface dataset:
Revisiting Cloud Security Threats: Repudiation Attack

Analysis of security threats and examining of existing mitigation techniques are considered as the major dimensions that need to be focused by next-generation cloud technology. These securities and privacy-based challenges are affecting most of the quality services and online data storage having huge network infrastructures and applications for information management. However, still the variant advantages are the success key of emerging cloud, but poses new security issues and reliability challenges for the users and their service applications. The main concern is an application-based cloud threats, which are not tracked properly and no user action logs are maintained for the evidences. This specially leads to the forging of identifications and manipulation in system actions. Nowadays the most common action observed by malicious attacker is to execute repudiation, where one of the parties involved in communication, denies that actually they have executed the particular conduct. Repudiation attack leads to the major legal actions on massive financial losses, which are not even legitimately proved due to the lack of evidences. Thus, the paper presents a broad indication of repudiation attack through analysis of prior security issues in a cloud environment. Wide-ranging reviews on the same have been presented. The study has tried to figure out the root cause of repudiation attack in order to come up with more suitable and satisfactory counter measures. The study also focuses on a variety of dimensions for future research study in the domain of repudiation based on the previous published works and industry /organization reports.
Detection and filling of pseudo-hole in complex curved surface objects

The detection and filling of pseudo-hole in complex curved surfaces is always a hot and difficult problem in computer vision field. Aiming at the defect that the traditional method can only detect the small curvature of the pseudo-hole region, this paper proposes a new method to improve the pseudo-hole detection. Firstly, the hole can be classified by the projection method, it is divided into simple holes and complex holes, and then, the method of filling the simple hole is described. For complex holes, it is divided into a number of simple holes, and then filling every simple holes, to complete the filling of a complex pseudo-hole, finally map the results of filling the simple hole back to the object hole area.
Chapter 11: Graph-Based Clustering Algorithms

A graph-based clustering algorithm will first construct a graph or hypergraph and then apply a clustering algorithm to partition the graph or hypergraph. A link-based clustering algorithm can also be considered as a graph-based one, because we can think of the links between data points as links between the graph nodes.
Climate Data Matrices and Linear Algebra

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
Personalization in Collaborative Fusion based Enterprise Information retrieval

Due to data spread across various heterogeneous data stores, information retrieval in Enterprise data stores is always challenging compared to web based retrieval systems. We have proposed a collaborative fusion based information retrieval in [1] using the observation on similar users tends to prefer similar search results. The solution applied three dimensions of user similarity, document similarity and user to documents affinity to a collaborative information fusion based retrieval. The work also proposed active feedback based search result revision to get highly relevant results. But the work did not have any provision for personalization and could not handle the cold start problems. Without consideration for cold start problems, the user to document affinity cannot be modeled accurately as the result, the collaborative fusion process is affected. In this work, we improve our earlier solution of collaborative fusion based information retrieval with consideration for user personalization and solution for cold start problems. The solution is based on query refinement using the information hidden in enterprise messaging systems. A user profile is built as vector of concepts using the information in enterprise messaging systems and this user profile concept vector is used to refine the query in way to personalize the results and avoid cold start problems. Compared to approach in [1], the proposed query refinement based personalization is able to increase the relevancy accuracy by 10% as obtained from experimental results.
Trace Visualization within the Software City Metaphor: A Controlled Experiment on Program Comprehension

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
Feature-Based Systems and Software Product Line Engineering

This paper describes a tutorial to introduce a product line engineering solution, including tools and methods, that is the subject of an upcoming ISO standard and known as "Feature-Based Systems and Software Product Line Engineering." This tutorial will explain the approach, give its history and a brief summary of some of its many successes, and discuss its application to systems and software engineering. Moreover, the tutorial will cover how its usage is spreading beyond the traditional engineering realm, across the entire enterprise in areas such as product marketing, portfolio planning, manufacturing, supply chain management, product service and maintenance, and much more.
EFL Teachers’ Phonological Awareness Beliefs and Practices: Help or Prevent EFL Children Developing Reading

EFL teachers' proficiency seems to contribute to the reading difficulties that early graders encounter.This paper investigates the knowledge, beliefs, practices and awareness in phonological awareness (PA) of twohundred and ten ramdonly selected EFL in-service teachers and then examines the impact of teachers' experiences, qualifications, and gender on shaping teachers' instruction.The researchers used a four-section survey to collect teachers' demographic information, perceived and actual knowledge of phonological awareness and classroom practices related to PA, phonics, and syllabication.The results reported teachers as moderate level in the beliefs, practice and awareness of PA.In terms of teachers' knowledge in PA, however, results showed teachers lacking the basics in teaching reading.Implications for EFL teacher education and preparation are highlighted.
Floodable Length Analysis and Addition of Passive U-Tube Tanks to Reduce Rolling on 15 GT Fishing Boat of PVC’s Pipes

Fishing boat in Indonesia generally use wood materials. In its development, PVC pipe alternative material can be used as hull. Ship accidents in Indonesia are much due to the turning of boats (capsizing) related to the rolling movements of boats. This research aims to know the fish liner made of PVC pipes with a variation of the hull shape has floodable length that corresponds to the standard SOLAS (Safety of Life at Sea) and know the change in the rolling movement of boats caused by The addition of passive U tube tanks. The method used in this research is by making modeling with variations of 3 hull shapes and making 3 models of passive tanks of different width size channels to be used in the study. Based on the results of the analysis of shipping software and CFDS for floodable lengths have the results indicating the floodable length of the boats of different variations of the stomach shape have different curved graphs and have fulfilled the rules of SOLAS. The rolling result obtained by the ship with the addition of passive tank. The results of the research showed that boats using passive tanks were able to dampen rolling movements. In model A was able to dampen by 4.40%, model B was able to dampen by 8.10% , and model C could dampen the rolling motion by 15.28%. The wide influence of passive tank is very influential on decreasing in the value of RMS Roll of PVC fish with flat hull.
Methodology for building the basic metrics of Q-analysis and their application

The study of complex systems requires the use of various methods, which should provide useful information to ensure effective management. Using Q-analysis makes it possible to delve into the structure of the system and understand the complex relationship between its components. In the course of the study, concepts such as a structural tree, local maps, and the inheritance hierarchy were introduced, which make it possible to better understand the meaning of the system metrics obtained by Q-analysis. Then, on this basis, algorithms were developed to determine the basic metrics. They were applied to the banking system of Ukraine as of 2016. An interpretation of the results is proposed and their practical significance is described.
Reversible Data Concealing in Encrypted Images using Binary- Square Embedding

The primary objective of this paper is to embed secret information using Binary-Square Embedding (BSE) technique in binary image. Using BSE, we intend to use an associate rule for Reversible Data Concealing in Encipher Images (BSE-RDCEI). This approach use BSE to implant binary bits in subordinate bit -planes of the first picture into its superior bit-planes such that the subordinate bit-planes be able to be kept back for concealing undisclosed information in resulting progression. BSE-RDCEI utilize bit- stage scrambling method when undisclosed information implant to unfold implant undisclosed information to the complete noticeable encipher image so it will forestall undisclosed information as of failure. A safety key style method is projected to reinforce the safety stage of BSE-RDCEI. Procedures of BSE-RDCEI be totally revertible. The key information &amp; unique picture will exist remade in various ways. Examinations and correlations demonstrate that BSE-RDCEI has relate implanting rate about doubly bigger than the dynamic calculations, creates the checked decoded pictures with prime quality, and is in a situation to oppose the animal power, differential, commotion and data misfortune assaults.
Smart Movement using Eyeball Pupil Position

There are different kind of reasons for which people offer an material of locomotion such as a cursor. The number of students people and others, who need to artificially go with the cursor. Hence implementing a controlled system with which it enables them to change the place without the help of any other hardware. The proposal of eye controls is of actual use of people who suffered a lot with the problem faced daily with natural input and mostly used by the handicapped and disabled. Camera used here is capturing the image and action of eye pupil movement. First detect the pupil centre position . Then the different angle variation on pupil position gives different instruction set for cursor. The signal pass through the PC to automatically cursor move itself. The movement of the cursor capture and control with the direction and enable the cursor to move the different directions such as forward, left, right and stop.
Analysis of the competitive environment of the market (on the example of the general education market of the Republic of Bashkortostan)

The analysis of the competitive environment of the General education market of the Republic of Bashkortostan using the method of five forces of competition by M. Porter.The influence and characteristics of the parameters of each force of competition are determined.
Constructive Neural Network: A Framework

In this paper, two techniques for construction of feedforward neural network are being reviewed: pruning neural network algorithms and constructive neural network algorithms. In pruning method, training starts with a larger than required network and subsequently delete the redundant hidden nodes and redundant weights till there is a satisfactory solution. In the constructive method, training of the network starts with minimum structure and then according to some predefined rule some more layers of neurons are added. A number of major issues are discussed that can be considered while constructing a constructive neural network i.e. how to select network architecture, network growing strategy, weight freezing, optimization technique, activation function and stoppage criteria
3d Image Generation from Single 2d Image using Monocular Depth Cues

There has been a tremendous increase in the popularity of 3D hardware such as TV's, Smartphone's, gadgets for gaming, medical equipments, 3D printing and many more. 2D to 3D conversion is applied at various levels to get 3D content. In this paper, 3D image is generated from a single 2D image. we try to convert our own Karate and Bharathanatyam (KB) Dataset which contains both indoor and outdoor poses to 3D. Here, Watershed algorithm is employed to segment the image. Depth map is generated by sharpness and contrast as depth cues. The 3D image from single 2D image is created by depth image based rendering method.
A Wireless Wearable Back Angle Measurement System for Sports and Therapeutic Applications

Back angle measurement in coronal plane provides a significant insight into the condition of spinal cord for certain physical conditions. This data would especially be useful for sports and therapeutic conditions, namely for modification of playing styles, ergonomic design, treatment of back pain and many more. Such data can also be used for injury predictions in case of repeated similar lower back movements. In this communication the authors implemented a wearable wireless system which can gather the necessary data from the candidate’s body which can be further used with data analytic techniques. The implemented system is based on a modular platform which uses plug and play hardware modules viz. micro-controller, accelerometer sensor, gyroscope and an RF module. A wireless node designed, which can use the sensor data to analyze lower back movement of subject’s body. A hub-module is connected to the laptop at remote site for wireless data acquisition of the meaningful signals. The implemented system shows improvement in experiment error which is an advantage over similar existing systems.
ROLE OF STUDY SKILLS IN IMPROVING ENGLISH LANGUAGE LEARNING PROCESS

This study aims at finding out inadequate English Language Proficiency in spoken English. Apart from study skills verbal blows appear mightier than the physical ones. Not just the words both written and spoken have acquired a significantly crucial and an almost decisive force in contemporary times. Essentially, ours is a society which moves on the wheels of communication though it is only a means and not the end. In English language teaching ( ELT) especially, when English is connected to class room teaching (CRT ) .Self endeavour plays a very significant role in engrossing the attention and attitude of the students. A student has to incorporate a variety of skills as dictionary, thesaurus, encyclopedia, extensive, reading, Exploration, four language skills (LSRW), , dialogue writing, note making, note taking, report writing, email etiquette are part in improving one's English language proficiency effectively. To achieve this object, a lot of reference work has to be done by the students effectively. Since language is acquired only proper self-efforts by the students and learners, study skills will back up the knowledge of understanding a language. When understanding sounds in English, it is easier to improve the accuracy in pronunciation. Learning a language is quite different from teaching any language like English. As English language has a peculiar in its diction of usage, word stress, sentence stress and intonations, keeping attention on them is very important. For improving proficiency, the way we study should be designed and challenged to the present era. Ancient teaching methods, approaches, techniques will be replaced by latest modern smart communication approaches and strategies. For smart learning of study Skills, several factors have been contributed to the adoption of new trends in ELT for improving a learner as adept in English language proficiency. This paper also includes some quick tips on how to teach study skills. It has also been discussed the good study techniques.
Spatial and Temporal Variation of Clearness Index in Iraq

Abstract: This study deals with the spatial and temporal variation of clearness index (KT) in different meteorological stations, well distributed in Iraq, during the period between 1995 and 2015. The results indicate that the clearness index varies with the geographical location and period of the year. Monthly values of clearness index (KT) in the months of January and December show the lowest values of the index ranging between 0.38 and 0.64. Meanwhile, August shows the highest values ranging between 0.53 and 0.71. Seasonal variation of KT is well noted. The range of (0.40 to 0.58) has been measured in winter, while the range of (0.53 to 0.70) has been detected in summer season. The annual variation of KT shows a range between (0.47 - 0.64) in all stations. The standard deviation (SD) of the monthly values of KT ranged between (0.01-0.06) for all stations, while the coefficient of variation (CV) for the monthly values of KT ranged between (2-10) percent. Keywords: Clearness index, Global solar radiation, Extraterrestrial radiation, Time series, CV, SD.
Smart

In my many appearances as an AI speaker , I always make the point of explaining the difference between “intelligence ” and “cognition ,” the first one being a coefficient of mental ability, and the second, superior and infinitely more elegant, our ability to understand not just what is going on, or what something is, but to act upon it, to know what it is there to be done. In the world of automotive vehicles , this type of ability is turning cars into reactive, proactive, and ever more secure vehicles; adapted to fast-changing environments; and mindful of our biological needs to be safe from harm yet required to travel from A to B and then to C, for good measure. “Smart” has become the new black, and it is now not just about vehicles, but concerning everything around them, from roads, to streets, to urbanization of future cities.
Probabilistic Clustering

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Introduction

This chapter offers a brief introduction to the book. It provides general criteria for the definition of a “classifier language” and offers an overview of the properties along which classifier languages may vary. After briefly discussing two ongoing debates regarding nominal arguments—one is about the syntax of nominal arguments and the other is about the reference of bare nominal argument terms—this chapter provides a brief summary of each of the remaining chapters.
Investigative Duties on Scene

The investigation starts at the location where the body is found. The scene may include more than one location, such as where the body entered water, where the decedent’s personal effects were located, or where means of transportation was found. The practice of accepting witness and complainant accounts at face value prohibits any further inquiry. More documentation is usually done at the scene of a motor vehicle accident than that of a water-related death scene. Because the environment is constantly changing, it is imperative the investigator collect all available data while initially on the scene. For body photographs, take a photo of gross (overall) condition of the body, any external injuries, and injury patterns. The investigator should also try to photograph any sunken objects from surface, if water clarity and depth permit the taking of such a photograph. In cases of deeper water or poor water clarity, evidence can be marked utilizing floats and photographing the floats on the surface.
Evolutionary computation and games

tutorial Evolutionary computation and games Share on Authors: Julian Togelius View Profile , Sebastian Risi View Profile , Georgios N. Yannakakis View Profile Authors Info & Claims GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference CompanionJuly 2020 Pages 620–651https://doi.org/10.1145/3377929.3389854Online:08 July 2020Publication History 0citation94DownloadsMetricsTotal Citations0Total Downloads94Last 12 Months28Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Density based Traffic Monitoring system in Haze and FOG Conditions

The problem of traffic congestion has increased now-a-day’s due to the rapid growth of population in major cities. Overwhelming number of vehicles and insufficient roads are the major causes of traffic congestion. This needs new technologies to be adopted, and a better approach for effective traffic management. In the literature, researchers use conventional methods such as IR sensor, wireless sensor, and Fuzzy logic to measure the traffic density. The main limitations of such conventional methods are that they require personal monitoring of the traffic and ineffective to work in foggy weather. The main aim of this work is to develop a real-time adaptive density-based traffic management system that can quantify number of vehicles on roads under foggy weather conditions. The proposed system involves video acquisition, frame extraction, fog removal and vehicle counting. At first, the video is captured by camera and split into number of frames using frame extraction process. The Dark channel prior (DCP) algorithm is used to remove the fog from each frame and the background subtraction method and certain morphological operations are used to count the number of vehicles in real-time. Based on the vehicle count, the system specifies the time required to clear the traffic. This could facilitate ease traffic flow, save time, and even operate in foggy weather conditions, which is an improvement from the conventional timer-based operations of traffic signals.