Reviewerly/exHarmony huggingface dataset:
A Secured Public Auditing Protocol with Dynamic Structure for Cloud Data

At present Cloud computing is a very successful paradigm for data computing and storage. It Increases the concerns about data security and privacy in the cloud. Paper covers cloud security and privacy research, while focusing on the works that protect data confidentiality and privacy for sensitive data being stored and queried in the cloud. As Survey enlist all the research carried out related to data security and users privacy preserving techniques in detail. Data sharing can be achieved with sensitive information hiding with remote data integrity auditing, propose a new concept called identity based shared data integrity auditing with sensitive information hiding for secure cloud storage. Initially every data would be outsourced to the cloud only after authorized or activated by the proxy. The key would be generated to the file randomly by the key generation Centre. The transaction details such as key mismatch, file upload and download, hacking details would be shown to the proxy and cloud server. If the match occurs, automatically file would be recovered by the user even if hacker access or tamper the file. The main motive is to ensure that when the cloud properly stores the user’s sanitized data, the proof it generates can pass the verification of the third party auditor. And the paper provides various research work done in the field
Entrepreneurship in Educational Organisations: Innovations and Technologies

In the current context, organizations need to look for new innovative factors to improve the efficiency of their activities. One of these alternative approaches to the contemporary organization and its management is the concept of intra-organizational entrepreneurship or intrapreneurship. The purpose of the present study is to justify the need to apply the concept of intrapreneurship in educational institutions, and to analyze the main lines and forms of its development. The article analyzes the concept of intrapreneurship considering its theoretical aspects in different socio-economic areas. The authors present the results of an empirical study of intrapreneurship in educational institutions analyzing availability of intrapreneurship in comprehensive education institutions and offering the classification of intrapreneurship areas in comprehensive education organizations, as well as determining the severity of the main forms of intrapreneurship in each of these areas.
The Complex Function of Exercises in a Martime Strategy of Deterrence

merging will see a greater demand for sound allied maritime strategy, and the understanding thereof. EpilogueThe study of sea power theory and practice cannot be left confined to the disciples of Mahan or Corbett, or to the classrooms at the naval academies.The maritime domain affects us all, and bridging the gap between history and policy-as exemplified in the events and publications of the ISPK's Center for Maritime Strategy & Security-will go a long way to understanding many contemporary opportunities and shortfalls when it comes to the sea.My sincere gratitude also goes out to everyone who contributed to this book; in particular the 20 authors and the two editors.
The Efficacy of Facebook as a Tool in Criminal Investigations

June 15, 2011 marked the date of the Vancouver riots that followed the Canucks loss of the Stanley Cup final. Social media as a form of communication between the public and police was a distinguishing feature during the 2011 riots, and is compared to the context of a similar Vancouver riot occurring in 1994. Through the review of literature on the criminal justice system, crowdsourcing, social media as a tool in policing, surveillance, language on Facebook and Facebook as a communication tool I explore the practice of communication as it unfolds on the Facebook group, “Vancouver Riot Pics: Post Your Photos” and examine the efficacy of this communication tool. The Facebook comments underneath the uploaded images are evaluated through a content analysis. Five Facebook images and there associated comment threads are collected in chronological order for the sample based on the outlined criteria of: 25-40 comments, a non-manipulated image, and being published in either the Globe and Mail or the National Post online news source. Erving Goffman’s theoretical orientation of frame analysis is applied to understanding the development of the Facebook comments; more specifically his concept of the social primary framework is directly related to the intended purpose outlined by the Facebook group. The purpose of “Vancouver Riot Pics: Post Your Photos” is to identify rioters through the public’s contribution of images and Facebook comments. Research findings suggest that the intended purpose of the Facebook group is achieved, as there is a significant emergence of the frames identification and crowdsourcing; therefore, Facebook is deemed a helpful tool in police investigation.
Chaos based Encryption of Image for Secure Communication

The 20th century is known as the Information age. Development of technology led to the storing and communication of information in the digital form. Digital technology provides easy access to the information through internet and other forms of technology. Transmission of information is also become easy using digital technology. The information stored or communicated may be vulnerable to attacks from the adversaries. All the organizations and individuals are facing the threat of the insecurity of the information of data over the internet. Development of communication media and insecure media emphasizes the requirement to secure the data. The method of securing the information so that it is not stolen by the hackers is known as encryption. The development of multimedia technology has increased the images as the carriers of information. The conventional encryption algorithms are not well suited for the image encryption. Image encryption has developed in the past recent years as an important field. In the image encryption, the substitution and transposition techniques are performed on the pixel values of the image based on the key. One of the mechanisms for image encryption is based on chaos theory. Chaos sequence is used as a key for encryption because of its properties. This method of encryption is more secure and robust.
Personalized recommender system on whom to follow in Twitter

Recommender systems have been widely used in social networking sites. In this thesis, we propose a novel approach to recommend new followees to Twitter users by learning their historic friends-adding patterns. Based on a user’s past social graph and her interactions with other connected users, scores based on some of the commonly used recommendation strategies are calculated and passed into the learning machine along with the recently added list of followees of the user. Learning to rank algorithm then identifies the best combination of recommendation strategies the user adopted to add new followees in the past. Although users may not adopt any recommendation strategies explicitly, they may subconsciously or implicitly use some. If the actually added followees match with the ones suggested by the recommendation strategy, we consider users are implicitly using that strategy. The experiment using the real data collected from Twitter proves the effectiveness of the proposed approach.
A Primitive Proposal of an Algorithm for IP and Mac Based Data Aggregation and message authentication in Wireless Sensor Networks

In wireless sensor networks(WSN) ,authentication of messages is the highly important function in preventing threats from un wanted , un authorized and corrupt messages from being sent. There are various message verification and authentication methods have been proposed as well as developed based on cryptography technology such as symmetric key cryptographic systems or public-key cryptographic systems. Also there are many different techniques available based on polynomial-based schemes, elliptic curve cryptography (ECC) and so on. All the above said methods have its own merits and demerits. In this research work a new method of authenticating the message by its IP and MAC address (together encrypting) and analysing the encrypted message to find the authenticity of the message and the node which has sent the message at collecting node will be carried out.
Total Coin Amount Prediction in Image with Artificial Neural Networks

Nowadays, especially after the great developments in computer systems, prediction and estimation applications using artificial neural networks (ANN) have reached an extremely important point in terms of different sciences and sectors.In the 21st century, prediction ability of image qualifications has led to making a profit in many sectors both in terms of time and number of staff.Prediction can be thought of as the mental process that allows us to predict or develop a response when there is no other solution.Namely, prediction is a nonlinear situation.ANN are frequently used in solving prediction problems, as ANN have proved their success in the whole world, especially in solving nonlinear problems.In this study, a system is modeled by using image processing techniques and ANN to predict the total coin amount in the image.
A Evaluation on Removing of Rain from Images

In this paper, different techniques for the detection and removal of rain from images have been reviewed. The performance of each technique varies as the rain reduces the visibility of the scene in the image. Detection and removal of rain needs the discrimination of rain from non-rain pixels. Accuracy of methods depends upon this discrimination. Here merits and demerits of existing methods are discussed, which motivates further research. A rain removal technique has wide applications in indoor and outdoor security surveillance systems, tracking and navigation, entertainment industries and consumer electronics.
Proses Clipping pada Map Game Online RPG menggunakan Algoritma Cohen-Sutherland

Nowadays, online games is the media for interaction with another people in the world. In this game, players are presented in the virtual world. This virtual world displayed on a graph of realism that have various shapes fact as houses, roads, walls, fences, etc. Players in this online game will also be given an avatar of the identity and the realization of the players in the virtual world. Virtual world in the online RPG game certainly require a lot of graphics realism in the viewport windows virtual but certainly not to display the virtual world as a whole. This is because the views of the players who became avatar certainly made equal to the real-world view of the player. In presenting part of the virtual world certainly requires clipping of the map which is a manifestation of the virtual world. Clipping technique used to use Cohen-Sutherland algorithm. This algorithm makes clipping as nine areas where the viewport window will be the main focus in the map and displayed on the screen viewport. This would blur the eight other areas that cannot be seen directly in the viewport. This study provides a view of the same players as in the real world that is played online games can provide a real experience to his players.
Implementación del software educativo sistemas de modulaciones analógicas

The use of new technological tools for the development of experimental practices within the classrooms and laboratories has contributed to the development of new skills by students in both the academic and professional fields. For this reason, this research work aims to implement a software Analogic Modulation System using the App Designer tool of MATLAB. For the development of this research, the bibliographic, experimental, and research method was used to cover the entire required research field. In order to apply the research method, surveys were applied by selecting the 36 students of the Analog and Digital Communications subject in the seventh semester of the 2018-2019 academic period of the Teleinformatic Engineering degree at the University of Guayaquil. The results of the surveys indicate that the system is useful, intuitive, reliable, and efficient but not as user-friendly because 81% of the respondents believe that it is. It was also determined that the students who are taking an experimental subject want to manipulate equipment that is available in the laboratory because they have the perception that they can learn more even if it takes longer to develop these experiments. In relation to the tests carried out, it is deduced that they were successful because the signal message can be recovered without error even though it was transmitted in different media and also using different analog modulations. The only discrepancy that existed was the time of transmission of the data.
Hoax News Classification using Machine Learning Algorithms

Hoax news on social media has had a dramatic effect on our society in recent years. The impact of hoax news felt by many people, anxiety, financial loss, and loss of the right name. Therefore we need a detection system that can help reduce hoax news on social media. Hoax news classification is one of the stages in the construction of a hoax news detection system, and this unsupervised learning algorithm becomes a method for creating hoax news datasets, machine learning tools for data processing, and text processing for detecting data. The next will produce a classification of a hoax or not a Hoax based on the text inputted. Hoax news classification in this study uses five algorithms, namely Support Vector Machine, Naïve Bayes, Decision Tree, Logistic Regression, Stochastic Gradient Descent, and Neural Network (MLP). These five algorithms to produce the best algorithm that can use to detect hoax news, with the highest parameters, accuracy, F-measure, Precision, and recall. From the results of testing conducted on five classification algorithms produced shows that the NN-MPL algorithm has an average of 93% for the value of accuracy, F-Measure, and Precision, the highest compared to five other algorithms, but for the highest Recall value generated from the algorithm SVM which is 94%. the results of this experiment show that different effects for different classifiers, and that means that the more hoax data used as training data, the more accurate the system calculates accuracy in more detail.
ДЕЯТЕЛЬНОСТНЫЙ ПОДХОД − ПРАКТИКО-ОРИЕНТИРОВАННАЯ ТАКТИКА ПОДГОТОВКИ БУДУЩИХ ПЕДАГОГОВ

The dynamic nature of the changes taking place in all spheres of modern society puts forward fundamentally new requirements for the professional training of specialists. Today, we need a specialist who not only has a certain amount of knowledge and skills, but is able to quickly navigate and rebuild their activities in constantly changing conditions, competitive, mobile, and ready for constant self-improvement. The training of such a specialist is possible only if there are certain conditions in the educational process to ensure the quality of training, one of which is the level of professional competence of the teacher organizing the training process.
Review of &amp;quot;Visual analytics of the aftershock point cloud data in complex fault systems&amp;quot;

Wang, et al. developed an interface to easily visualize aftershock distribution in a 3D setting.They produced a Matlab GUI that allows common processing and visualization techniques when interpreting aftershock temporal and spatial distributions.
An interesting way to present tsunami data

Italian tsunami effects database (ITED): the first database of tsunami effects observed along the Italian coasts".Most of the available global tsunami catalogues provide tsunami information about the source of the tsunamis (earthquake, landslide, volcanic eruption, etc.), date and time of occurrence, adding, when it is possible, data concerning their maximum run-up height,
Innovative Hybridization for Image Compression using PCA and Multilevel 2D-Wavelet

In modern era, the utilization of multimedia artifact grows gradually more, contributing to inadequate bandwidth of network and storage of memory gadgets. For that reason the concept of image compression becomes more and more considerable for reducing the data redundancy to accumulate more hardware space and transmission bandwidth. Image compression is valuable because it helps decrease the use of different resources mainly hard disk storage .Images are generally viewable representation of matrices and not compressed image use outsize number of memory for storage. In this paper we briefly describe different image compression techniques, an analysis different implementations and Finally the innovative method for image compression by using principal component analysis (PCA) and multilevel 2D-wavelet decomposition based method has been implemented. The main objective behind the hybridization of these two techniques are to use advantages of both compression techniques at one platform.
Image Distribution with Scalable Access Control for Privacy in Social Network

The pervasiveness of interpersonal organizations has made it less demanding than any time in recent memory for clients parts the photographs, recordings, Different communication like audio, video materials anyone in anyplace. Be that as it may, the simple access of client produced media content additionally realizes security concerns. Customary control of connection components, however the solitary connection strategy only through particular bit of substance, can't fulfill the client protection prerequisites in substantial scale media sharing frameworks. Rather, arranging numerous connection for dimensions benefits at mutual video and audio parts are wanted. In unhandy, this adjusts the guideline for interpersonal organizations in data spread. Then again, it concurs the difficult social Websites with their informal organization clients. Propose a versatile media get to control framework to empower such an arrangement in a protected and productive way. The proposed SMAC framework engaged these adaptable encoded message approach quality based encryption calculation just as a complete key administration plot. Here, give normal evidence along with secure for demonstrate the new framework with their security. Moreover, And also lead escalated investigations cell phones to exhibit its productivity.
PSYCHOLOGICAL SUPPORT OF THE DEVELOPMENT OF SOCIALLY ACTIVE YOUTH

The article provides a theoretical substantiation and experimentally investigates the psychological support of the development of socially active youth. The study has been carried out on the materials of comparative research of psychological qualities of socially active and socially inactive youth to present advantages and limitations of the selected types of socially active youth, and also to describe experience of psychological support of the further development of their social activity. Methodology. A model of the psychological qualities of socially active youth has been built (leadership development, value-motivational, emotional-regulatory and communicative components of psychological qualities) and the appropriate psychodiagnostic, statistical and developmental tools have been selected. Results and discussion. Based on empirical research, the level of development of the indicated psychological qualities of its participants was revealed, differences between socially active and socially inactive youth were revealed. There are 5 types of socially active youth (according to the level of development of psychological qualities): leaders, communicators, impulsive, aggressive, avoiding communication young people. There are statistically significant relationships between the psychological qualities of socially active youth and factors at the macro level (orientation of social activity of youth), meso level (type of organization in which youth is active), micro level (professional and socio-demographic characteristics of youth). The psychological conditions for the development of socially active youth have been determined. A training for the development of psychological qualities necessary for the implementation of the social activity of young people has been developed and tested.
ShalaBonBon

Music video by Japanese musician Shimizubonno. Various people, objects, and animals from different times are rhythmically enumerated. They exist in this world very equally. People, animals, flowers, streets, now and the past, all are equally flowing and Bonnnou (Kleshas) will never disappear.
On QoS-aware location privacy in mobile networks

We deal with the threats to user privacy in the context of wireless local networks. We focus on location privacy where an adversary tries to learn a user's past and current locations. The current Wi-Fi standard is vulnerable to location privacy and mobility profiling attacks due to the transmission of personally identifying information such as the MAC address in plain text. We provide a generic mathematical model to quantify and express the privacy and elaborate a decentralised algorithm that allows users to attain their desired levels of privacy while lowering its effect on the QoS perceived by them. We evaluate our proposal with numerical simulation and mobility traces collected from Wi-Fi users in an office environment. We show that higher privacy can be obtained with a variable effect on the throughput available to users.
Treatment of Industrial Wastewater by using Amberlite XAD-1180 in A Fluidized-Bed Reactor

The main objective of the work is to reduce COD levels of industrial effluents Using Amberlite XAD-1180 in a fluidization reactor. The experiment runs at the flowrates in the range 2 to 8 LPM. The parameters like flow-rate, time &amp; dosage of XAD have been studied and their effect of COD reduction is analysed, for this experiment COD analysis was done for industrial wastewater which is taken from near by industry. The COD reduction increases with increasing flow rate and adsorbent dosage. The maximum percentage COD reduction is found to be 91.56 %. Maximum adsorption occurs at the flow rate of 8 LPM and with 20 gm of XAD adsorbent
Enhanced Affinity for Spectral Clustering using Topological Node Features (TNFS)

Data clustering is an active topic of research as it has applications in various fields such as biology, management, statistics, pattern recognition, etc. Spectral Clustering (SC) has gained popularity in recent times due to its ability to handle complex data and ease of implementation. A crucial step in spectral clustering is the construction of the affinity matrix, which is based on a pairwise similarity measure. The varied characteristics of datasets affect the performance of a spectral clustering technique. In this paper, we have proposed an affinity measure based on Topological Node Features (TNFs) viz., Clustering Coefficient (CC) and Summation index (SI) to define the notion of density and local structure. It has been shown that these features improve the performance of SC in clustering the data. The experiments were conducted on synthetic datasets, UCI datasets, and the MNIST handwritten datasets. The results show that the proposed affinity metric outperforms several recent spectral clustering methods in terms of accuracy.
Influence of NUMA and Memory Locality on Microsoft SQL Server 2019 Performance

Memory locality in relation to which CPU core (Central Processing Unit) a certain virtual machine is using is an essential part of extracting maximum performance out of our NUMA-aware (Non Uniform Memory Access) applications.That means that designing and configuring our virtual server infrastructure correctly can be a complex process.In this paper, we're going to objectively analyze the impact of correct NUMA settings on Microsoft SQL Server Enterprise 2019 inmemory database performance on VMware's vSphere 6.0 hypervisor.We are going to use these findings to try to reach a conclusion as to what's the correct way to design server and virtual machine infrastructure for optimum performance so that our SQL queries aren't paying the unnecessary latency price because of the wrong memory locality and virtual machine design.