Reviewerly/exHarmony huggingface dataset:
Crisis Management

The security professionals are always talking about Emergency Plan, Emergency Preparedness, Emergency Response, Crisis Management, Crisis Management Plan, Business Continuity Management, Business Continuity Plan. etc. That is a question whichcomes to my mind do we know exactly what these phrases meanings are? My experiences show, usually we have different interpretations on the above mentioned expressions. Briefly we need to have an Emergency Plan to provide our Emergency Preparedness and to be able to take our Emergency Responses in case of a real Emergency situation. If we were able to eliminate the Emergency situation the problemhas been solved. If we had no success the Emergency can be develop a crisis situation which we need to manage by the Crisis Management Plan. As we are over the crisis we need to adopt our Business Continuity Plan to be able to manage our continuous operationor production. The aim of this study to providea useful tool or set up for security leaders on Crisis Management which is a clear security task and not as like Emergency Preparedness which is related to safety organization as Business Continuity is connected to each business functions.
An Efficient Methodology for Object Classification using Light Weight Deep Convolutional Neural Networks

In current era, deep convolution neural networks (DCNNs) have good break-through in processing images while reducing computational cost and increasing accuracy. Proposed approach focuses on object detection using classification with DCNN model. This model uses feature map for pre-processing the images and convolution layers helps to minimize the processing using deep learning perceptron’s. After that the proposed approach uses Light – Weight Deep Convolution Neural Network(LW_DCNN) Model which includes less number of convolution layers, Max Pooling layers with relevant parameters and Dense, flatten layers to train the data using Leaky ReLU function for improving accuracy. The proposed methodology LW_DCNN is highly efficient compared to traditional classification techniques and presenting simple and powerful model for object detection in Video Surveillance Systems. This model also tested on GPU systems and proved efficiency in less computational time. Obtained Results are clearly shows that model is more efficient in classifying the objects intern classifying the working condition of the overhead power polls insulators in real time video frame sequences.
Neuroannealing

Euclidean space to demonstrate that an information maximizing approach to optimization is both feasible and effective. An important feature of evolutionary annealing is that it can be applied to any measurable space.
An Improvement to a Class of Intensity based Spatial Domain Corner Detection Algorithms using Image Fission and Fusion

Corners of an object are important as features for the representation and analysis of its shape in computer vision. Corner detection, particularly in real scenes, is still a challenge. Most of the corner detectors found in the literature generate a number of false corners, which is not acceptable in real-life applications. In this paper, an improvement to a class of corner detection algorithms is presented using image fission/fusion. In this approach, a grayscale image is first divided into several bit-planes. A corner detector is applied on all the bit-planes simultaneously and a threshold (bitplane) is obtained using the concept of information gain. Finally, all the higher bit-plane corners are recombined (up to some thresholded bit-plane) to obtain the final set of corners. Here the corner detection algorithm is considered as a binary classification problem. Experimental results show that this improved approach reduces the number of erroneous corner detection relative to existing spatial domain corner detection algorithms. The improvements are established with the help of a number of performance measures proposed by various researchers. The proposed approach works better with respect to computational time also. This approach can easily be utilized in different low-level image processing applications.
Friagem Event in Central Amazon and its Influence on Micrometeorological Variables and Atmospheric Chemistry

The manuscript presents an interesting discussion of how the entry of a cold front or cold can interfere with micrometeorological conditions and the rates of trace gas mixture in central Amazonia.The combination of surface measurements with the simulations of the coupled model JULES-CCATT-BRAMS made it possible to understand the cooling effects, as well as their development and implications.Certainly, the results related to the effects on Lake Balbina are important for understanding the effects of cold on the ecosystem as a whole.In general, the work has an importante
Pengembangan Media Pembelajaran Berbasis Web Pada Mata Pelajaran Komputer dan Jaringan dasar di SMKN 1 Lembah Melintang

This research aims to get web-based learning media with a valid, practical, and effective on subjects the basic computer and network. This web-based learning media designed to improve the understanding of students thus increasing the learning results. This research uses research methods Research and Development (R and D) with 4-D development procedures (Define, Design, Develop, Desseminate). Data analysis techniques using descriptive analysis techniques for describing validity, practicalities, and web-based learning media efetivitas. The results obtained from the research of development: (1) the validity of a web-based learning media declared valid on aspects of media and materials, (2) a web-based learning media practicalities based on the response of teachers and students expressed very practical, (3) the effectiveness of web-based learning media declared effective in improving learning outcomes. Based on the findings of this study it was concluded that a web-based learning media declared valid, practical, and effective way to used as learning materials on subjects the basic computer and network
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 1 p. 22862A-22862C Policy and Practice Flooding First published: 01 March 2020 https://doi.org/10.1111/j.1467-6346.2020.09338.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue1March 2020Pages 22862A-22862C RelatedInformation
QR Denoising using a Hopfield Network

In this research paper, we will train and test the Hopfield neural network for recognizing QR codes. We propose an algorithm for denoising QR codes using the concept of parallel Hopfield neural network. One of the biggest drawbacks of the noisy QR code is its poor performance and low storage capacity. Using Hopfield we can easily denoise the QR code and thereby increasing the storage capacity.
Framework for ranking the cloud service providers of federated cloud architecture using probability ranking methodology

To select the best cloud provider in federated cloud architecture. It is also aimed to resolve various problems faced by the user and providers in cloud environment. The proposed innovation method shortlists the cloud service provider based on the quality of service (QoS) and SLA parameters. It can be used to select the best possible service provider using service measurement index (SMI). These SMI parameters are designed and implemented by Cloud Service Measurement Index Consortium (CSMIC). In this paper, a unique provider discovery algorithm and new classical probability ranking principle technique (NCPRPT) model is proposed in the modified federated architecture and then the performance is evaluated. Users can select the optimum cloud provider according to the required levels of services is very difficult and time consuming. This federated architecture can be used to the new ranking mechanism for ranking the providers using classical probability ranking on the basis of the SMI parameters. All the shortlisted providers are examined and then ranking is done on the basis of the present and past values of SMI.
The Site Occupancy Assessment in Tourmaline-Supergroup Minerals Based on Bond-Length Constraints

Theoretical bond-length calculation from ideal bond valences for each ion and coordination can predict ion site preference in the structure.It revealed that T site can freely accommodate Si 4+ and Be 2+ ; B 3+ and Al 3+ substitution requires compression or expansion of TO4 tetrahedron, respectively.The B-site occupancy is strictly limited to B 3+ .Proper bond lengths for octahedral sites were calculated for Al 3+ (Z-site preference), Ti 4+ , Mn 3+ , Ga 3+ , V 3+ , Fe 3+ (mixed preference), Mg 2+ , Fe 2+ , Li + , Mn 2+ , Ni 2+ , Zn 2+ , Cu 2+ , Sc 3+ and Zr 4+ (Y-site preference).Another group of cations including U 4+ , Th 4+ , Y 3+ and lanthanoids from Tb 3+ to Lu 3+ and Ce 4+ have significantly longer bonds than typical Y-O, but they form too short bonds for the X site.Therefore, they probably prefer octahedron.The usual empirical bond length for the X site is met with Na + , Ca 2+ , Sr 2+ , Pb 2+ and lanthanoids from La 3+ to Gd 3+ , while K + , Rb + and Cs + bond lengths are unbearably large for tourmaline X site.For every structural site, the "Goldilocks zone" of bond lengths can be assumed.This defines the range of bond length, which does not induce large structural tension and distortion.It is quite narrow in small sites such as B and T in tourmaline, but larger in sites with higher coordination number.This is the case of Al and B at T site -they substitute for Si but only in a limited proportion.Similarly, the proportion of REE in tourmaline is limited, although these can be abundant in the environment.It results from the deviation from the "Goldilocks zone" for both X and Y site and also relatively high charge for the X site.However, based on the present data, if present, REE likely partition between the Y (HREE) and X (LREE) site.However, the final tourmaline composition results from interaction of structure with the genetic environment.The proportion of REE in tourmaline is structurally limited, while e.g.Zr 4+ , Sc 3+ , Sr 2+ , Pb 2+ have only geochemical limits with no obvious structural limit.
Local anatomy for personalised privacy protection

Anonymisation technique has been extensively studied and widely applied for privacy-preserving data publishing. However, most existing methods ignore personal anonymity requirements. In these approaches, the microdata consist of three categories of attribute: explicit-identifier, quasi-identifier and sensitive attribute. In fact, the data sensitivity should be determined by individuals. An attribute is semi-sensitive if it contains both QI and sensitive values. In this paper, we propose a novel anonymisation approach, called local anatomy, to address personalised privacy protection. Local anatomy partitions the tuples who consider the value as sensitive into buckets inside each attribute. We conduct some experiments to illustrate that local anatomy can protect all the sensitive values and preserve great information utility. Additionally, we also present the concept of intelligent anonymisation system as our direction of future work.
Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach

© 2015 IEEE. Feature selection is an important pre-processing step, which can reduce the dimensionality of a dataset and increase the accuracy and efficiency of a learning/classification algorithm. However, existing feature selection algorithms mainly wrappers and filters have their own advantages and disadvantages. This paper proposes two filter-wrapper hybrid feature selection algorithms based on particle swarm optimisation (PSO), where the first algorithm named FastPSO combined filter and wrapper into the search process of PSO for feature selection with most of the evaluations as filters and a small number of evaluations as wrappers. The second algorithm named RapidPSO further reduced the number of wrapper evaluations. Theoretical analysis on FastPSO and RapidPSO is conducted to investigate their complexity. FastPSO and RapidPSO are compared with a pure wrapper algorithm named WrapperPSO and a pure filter algorithm named FilterPSO on nine benchmark datasets of varying difficulty. The experimental results show that both FastPSO and RapidPSO can successfully reduce the number of features and simultaneously increase the classification performance over using all features. The two proposed algorithms maintain the high classification performance achieved by WrapperPSO and significantly reduce the computational time, although the number of features is larger. At the same time, they increase the classification accuracy of FilterPSO and reduce the number of features, but increased the computational cost. FastPSO outperformed RapidPSO in terms of the classification accuracy and the number of features, but increased the computational time, which shows the trade-off between the efficiency and effectiveness. © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Authenticating Device Users via Keyboard Strokes

The present-day world is filled with numerous valuable personal digital devices that need to be well safe-guarded.To see ample of U.S populace still suffering in the hands of impostors and fraudsters of different kinds, despite technological advancement in such great nation is worrisome.Other nations are not spared of this security menace and perpetrators.Cases of break-in of keyboard embedded or plugged-in devices become alarming day-in-day-out [8].Many authentication mechanisms' failures in vital devices like smartphones, tablets and laptops have been reported recently.PIN, which stands for Personal Identification Numbers and pattern drawing have been used frequently as authentication methods, especially on devices that use keyboards [6].However, these devices are still susceptible to shoulder surfing occurrence [6].Alternatively, keystroke dynamics which authenticates genuine owners of these devices, based on their typing manner has been studied for many years, but less utilized in these very important gadgets.Keystroke dynamics can help more in reducing these authentication problems being faced by these owners, by examining the password typed or patterns made, more essentially with how a user types (the time speed and all others) [6].
BioEssays 7/2021

BioEssaysVolume 43, Issue 7 2170071 COVER PICTUREFree Access BioEssays 7/2021 First published: 19 June 2021 https://doi.org/10.1002/bies.202170071AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract In article 2000339 Bruna Corradetti and colleagues review and discuss the link between regeneration capacity and tumor suppression. The authors do this by comparing mammals with highly regenerative amphibians (salamanders and newts). The authors propose that this evolutionary perspective may provide effective regenerative medicine-based strategies to prevent and fight human cancer. Volume43, Issue7July 20212170071 RelatedInformation
Generalized Property Graphs(GPG) of Property-Value Structures for Knowledge Model

As a popular emerging technology, knowledge graphs (KGs) have become a platform of Web-based knowledge applications and services. Two dominant graph-based knowledge models, RDF and LPG, are widely used to construct large-scale KGs. It is argued that these models have some limitations to cope with complicated knowledge structures. This paper proposes a noble generalized property graph model that can seamlessly realize knowledge structures with compact expressiveness and robust formalism. Since the proposed graph model is compatible with RDF and LPG, it can be practically applied to KGs with effective performance.
Deciphering Encryption Rights in India: The Road Ahead

Encryption enhances privacy and cybersecurity and contributes to the growth of the digital economy. India is the second largest online market in the world and yet still lacks a comprehensive data protection law and a conductive regulatory approach towards encryption. Recent developments, particularly the 2021 Intermediary Guidelines, indicate the state adopting an approach aiming to restrict use of encryption, providing wide leeway for surveillance and introduce traceability. The ‘Right to Privacy’ was first formulated in India in 2017, in the landmark Puttaswamy judgment by the Supreme Court. This imposes constitutional limitations on the scope of state intrusion into individual privacy. This article critically examines three decades of the regulatory approach in India towards encryption and the expectations post the Puttaswamy judgment, the 2021 Intermediary Guidelines and the upcoming Data Protection Law. It examines whether a right to encryption can be said to exist in India and analyses various facets of the global encryption debate in the Indian context. Nigeria, NDPR, GDPR, Data Protection, Data Processing
Nonparametric Methods

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
Identity-Based Encryption Algorithm using Hybrid Encryption and MAC Address for Key Generation

In today’s world, secured communication is what every field wants. But due to the escalation of theft and unauthorized access to the data, the need for new encryption algorithms has also gone high. This paper proposed a hybrid encryption scheme which uses ElGamal key exchange algorithm and Genetic algorithms. In this scheme, the users share seventeen 16-bit keys, random in nature, using the ElGamal algorithm, which is used to calculate a shared key. Along with this shared key and MAC(Medium Access Control) addresses of both sender and receiver(MAC is used as it is a unique identifier attached to a network adapter or system), a final key is generated through a 10-round algorithm. Further, this final key is used for data encryption using Genetic algorithms. A new key is generated for each communication session between sender and receiver. The proposed technique shows that it is resistant to most of today’s known and common attacks.
Integrated Library System’s Functionality in Dumaguete City’s Academic Libraries

This study evaluates the functionality of the Integrated Library System (ILS) in the five academic libraries in Dumaguete City.Specifically, this study seeks to: 1) identify the profile of the Integrated Library Systems employed; 2) determine the level of functionality of the ILS in terms of: a) Online Public Access Catalog (OPAC); b) cataloging; c) circulation, and d) reports, and 3) point out the problems encountered by the academic libraries in using the Integrated Library System (ILS).Through a purposive sampling technique, a total of 37 librarians and support staff served as respondents; and with the employment of both the descriptive and evaluative survey methods of research, the needed data were gathered.The research instrument used was a revised questionnaire patterned after ILS Checklist of New Zealand National Library.Participants' responses to the items in this instrument were supplemented by a structured interview questionnaire.The data reveal that in terms of ILS's profiles, the five academic libraries have windows operating system except for one institution.This operating system was installed early in 2011 and majority have implemented the ILS since 2006.In terms of the ILS's functionality, they claim that the ILS is "functional" in all four areas but significantly "fully functional" in the cataloging module.The most significant problems encountered are as follows: insufficient training to operate the modules, no proper documentation of data, the software vendors' lack of maintenance program and less administrative support.Seemingly, similar responses were observed in the structured interview administered.
Face Frontalization

Face recognition is generally utilized in PC vision. The majority of the inserted and electronic gadgets are utilizing the face verification for security purposes. FR is utilized to distinguish an individual in a video or advanced picture. To actualize this we have to have a lot of pictures of a specific individual in information base with various face stances and appearances. For this cycle it expends huge memory space to store various pictures of a solitary individual. The info profile picture should coordinate with the picture present in the information base if not the face won't be perceived.Our proposed model will decrease the need of putting away different pictures of a solitary individual. In the event that the information picture is a non-frontal picture, at that point this model will change over that picture into frontal picture. Here info picture will go through a few picture handling procedures. Picture is analog in nature which speak to consistent territory if position and force esteems.
Real Time Vision Based Fingertip Detection Strategies

The Fingertip Detection acts a specific role in most of the vision based applications. The latest technologies like virtual reality and augmented reality actually follows this fingertip detection concept as its foundation. It is also helpful for Human Computer Interaction (HCI). So fingertip detection and tracking can be applied from games to robot control, from augmented reality to smart homes. The most important interesting field of fingertip detection is the gesture recognition related applications. In the context of interaction with the machines, gestures are the most simplest and efficient means of communication. This paper analyses the various works done in the areas of fingertip detection. A review on various real time fingertip methods is explained with different techniques and tools. Some challenges and research directions are also highlighted. Many researchers uses fingertip detection in HCI systems those have many applications in user identification, smart home etc. A comparison of results by different researchers is also included.