Reviewerly/exHarmony huggingface dataset:
A HYBRID MODEL FOR THE EVALUATION OF END USER EXPERIENCE IN A BRING YOUR OWN DEVICE ENVIRONMENT USING MULTIFACTOR AUTHENTICATION

There is a growing trend of Bring Your Own Device (BYOD) adoption in companies; the controls such as policies, companies attitude to risk, technological solutions that offer an additional layer of security help companies to protect themselves against risks such as data leakage or social engineering.We propose that companies focus is absolutely warranted to ensure the confidentiality and privacy of its assets but user experience must not be forgotten with this rising trend.In this paper we took an existing model Gupta (2018) used to measure user's intention to adopt BYOD and modified and utilised it to further investigate User Experience (UE) in relation to Multifactor Authentication (MFA) and BYOD.We implemented the model in a similar fashion as Gupta's study and created a number of hypothesis to evaluate the user's response and determine their experience to be positive, negative or neutral.The results indicated that there was not a correlation between perceived ease of use of MFA and perceived usefulness or user experience.While surprising this too was observed by Gupta and is an area further study is required.There were strong correlations observed however in positive perceived ease of use and personal innovativeness on users' positive attitude towards MFA which in turn could likely impact user experience.
ONTOLOGY-BASED HUMAN-MACHINE COLLECTIVE INTELLIGENCE ENVIRONMENT FOR DECISION SUPPORT

The paper proposes the design of a computer environment aiming at the support of human-machine collective intelligence in decision-making problems.The environment supports two main processes taking place during the collective effort on a complex problem: process organization (planning the activities and the distribution of the responsibilities) and building a solution (plan implementation).To address the problem of human-machine interoperability, the environment leverages multi-aspect ontologies, allowing to represent the status of the process and information about the problem in a human-and machine-readable way.The proposed solution can be employed in building interoperable human-machine collaborative systems in variety of complex problem domains.
Secure Data Storage and Retrieval Operations Using Attribute-Based Encryption for Mobile Cloud Computing

Nowadays, every person owns and keeps with them a portable telecommunication device, which extends online services to the domain of sense. To request information from sensing devices, a typical cloud wireless data provider is used. Numerous different applicants may request the same information, which may affect the battery performance of the device. The Internet computing paradigm and the traditional industrial data management approach are being transformed by cloud computing. Developing innovative wireless access technologies gives cloud computing plenty of opportunities to grow into distributed technology, in which sensors are used to collect information on wireless devices and act as a collection node. Even though this is promising, users’ concern about cloud data security affects the usage of cloud computing techniques. This is because sensitive user information is stored in a public cloud environment operated by cloud service providers who lack the users’ trust. To mitigate this issue, we need a secure service architecture that addresses the security concerns of users. This chapter proposes a new authentication system focusing on lightweight wireless devices and transferring information to the cloud processing without disclosing the collected data to the provider. The proposed solution focuses primarily on the two directions of research: First, to secure the mobile data, we propose a secrecy-conserving ciphertext-policy attribute-based encryption (SC-CP-ABE). Without exposing the accessible information data, the mobile device can push heavy-lift encryption and authentication to the cloud vendors. Second, as an access mechanism for optimizing data storage, computing payload, we propose the attribute-based data retrieval system. This technique optimizes data storage and retrieval. It optimizes the computation and communication overhead, which in turn reduces the cloud service charges.
CODEGER-UWE - Model Driven Web Application Development Tool

In this paper, we present a CODEGER-UWE tool tool to support model-driven web application development. The CODEGER-UWE tool has integrated rule for transformation Model and code generation rules to create web applications for the JSF platform automatically. CODEGER-UWE implemented as a plugin for the MagicDraw tool which allows the generation of source code from UWE models that correspond to the components of the MVC model. This is a tool with a clear, handy development process, applying tools to develop web applications will greatly reduce the time for developing Web applications. Keywords: CODEGER-UWE, Model driven web applications development, Model driven software development, Web application development tools, automated code generation.
SMART VIDEO-BASED SIGN LANGUAGE APP: IMPACTS ON COMMUNICATION

Life is a blessing from the graces of God that he granted to all His creatures. God has excelled in creating this life in its most beautiful form, making the difference of people and the difference of graces among them a cornerstone for enjoying life. Created nature around him, which fascinates hearts, and some enjoy hearing the melody of nature and the chirping of birds and the chants of the seas. The situation regarding the deaf and dumb category is different, because life on a daily basis faces the deaf and dumb category with various difficulties, some of which are similar to what other natural individuals face, Some of the others are his own, that is, they are caused by the problems he suffers because of his disability, and the deaf-dumb tries to continue living relying on his attempt to be able to adapt to the conditions of his life, so they succeed and fail at times. The greater challenge for the deaf-dumb is to strive all possible ways to communicate with the society easily and confidently. They face many problems because most of the individuals they interact may lack knowledge of communicating using sign language. This research aims to reach solutions to overcome this problem by proposing an application to communicate for the Deaf and dumb. This application will help the public to understand the sign language used by deaf and dumb individuals. Therefore, the deaf and dumb group can communicate with people who do not know sign language without feeling embarrassed.
An Agile Prototyping Approach on the Design of the Purchase Request and Financial Tracking System

Purpose – This paper focuses on designing a purchase request and financial tracking system to better support the government agencies in fast, easy management and better understand a more comprehensive strategy for its financial activities. Method – It employs an agile prototyping approach for fast and cost-effective turnaround. UML approach was utilized for designing process models and data models. Results – The prototypes allow you to observe real user behavior as they interact with your design and obtain detailed feedback about your designs, alternatives, and ideas before implementing them. Various process and data models are designed and presented in this paper with exact and comprehend steps for the programmers to follow during the software development life cycle (SDLC). Conclusion – Making the developed models as the government's guide in engaging and embracing emerging technological innovations would impact the purchase request processes and financial tracking management quality. These models will certainly provide new knowledge, theories, and methods for the experts who will put these prints into action or implementation and other researchers who wish to seek facts relevant to purchase requests and financial tracking of government transactions. Recommendations – It is recommended to utilize this design to develop the software in a purchase request and financial tracking in government agencies in the Philippines. It is also recommended to consider adding PR Mapping; aside from tracking the PR through status, they could suggest adding the PR mapping to track the PR, upload other documents that require in their purchase request, and adding machine learning algorithms to predict the budget allocation of each office for the next incoming years. Research Implications – This paper's results will eventually be significant in the development of a purchase request system for different government agencies in the Philippines.
The Implementation of a Filter Kalman Method Forecasting Rainfall Obtained Through Model ARIMA in Kota Jambi

In the last three years the climatic conditions in Jambi City have experienced erratic weather conditions. One way to predict rainfall is using the Kalman Filter approach. However, in this case, the Kalman Filter method is implemented on the forecasting results from ARIMA (Autoregressive Integrated Moving Average) because there has been rainfall measurement data from 2008 to 2017 at the BMKG Muaro Jambi Climatology Station which is also a function of time and the existing pattern will be described with using Time Series Analysis. Time series data is data that has a time series of more than one year on one object or data collected from time to time on one object. ARIMA model will be used to predict the next data. Kalman filter is a model part of state space that can be applied in forecasting models. The Kalman filter consists of a prediction stage and a correction stage. This method uses a recursive technique to integrate the latest observational data into the model to correct previous predictions and make further predictions. This study aims to determine the implementation of the kalman filter method in predicting rainfall obtained through the ARIMA model in Jambi City. The results of the 2018 Jambi City rainfall prediction research show that the best ARIMA model formed is the ARIMA model (1,0,1). In the Kalman Filter model, a MAPE value of 24.92% is obtained, which indicates that the Kalman Filter has a fairly good predictive ability.
Book reviews

This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal multiword expressions.We present the annotation methodology, focusing on changes from last year's shared task.Novel aspects include enhanced annotation guidelines, additional annotated data for most languages, corpora for some new languages, and new evaluation settings.Corpora were created for 20 languages, which are also briefly discussed.We report organizational principles behind the shared task and the evaluation metrics employed for ranking.The 17 participating systems, their methods and obtained results are also presented and analysed.
Social Context of Digital Space and Creativity (German Experience)

The article examines the features of development of supplementary education institutions in Germany by means of digital technologies and describes the experience of introducing digital media into the process of non-formal education. Digital economy makes digital information a key factor of production in all areas of socio-economic activity, where digital technologies ensure effective interaction between business, government and citizens. One of the central places in the formation of digital economy is taken by the transformation of education. Modern German education is distinguished by a particular humanistic approach, which implies continuous “open to the world” education aimed at the integral harmonious development of the individual. The educational environment, where the foundation for the revival of pedagogical experience in developing students’ creativity was initially shaped, has become an environment of alternative education, thus, naturally complementing the system of compulsory education. The key principle of supplementary education institutions’ practice is the possibility for students to independently choose leisure time activities that encourage their development. Nowadays, young people's needs change very often, so the proposals are constantly updated and aligned with their interests. The implementation of the abovementioned issues depends on the proper organization of students' creative activity, which serves as the mechanism for finding something new, aimed at identifying and developing creative initiative and activity of an individual.
Contact Tracing Apps for COVID-19: Access Permission and User Adoption

Contact tracing apps are powerful software tools that can help control the spread of COVID-19. In this article, we evaluated 53 COVID-19 contact tracing apps found on the Google Play Store in terms of their usage, rating, access permission, and user privacy. For each app included in the study, we identified the country of origin, number of downloads, and access permissions to further understand the attributes and ratings of the apps. Our results show that contact tracing apps had low overall ratings and nearly 40% of the included apps were requesting dangerous access permission including access to storage, media files, and camera permissions. We also found that user adoption rates were inversely correlated to access permission requirements. To the best of our knowledge, our article summarizes the most extensive collection of contact tracing apps for COVID-19. We recommend that future contact tracing apps should be more transparent in permission requirements and should provide justification for permissions requested to preserve the app users privacy.
Experimental quantum secure network with digital signatures and  encryption

Cryptography promises four information security objectives, namely, confidentiality, integrity, authenticity and nonrepudiation, to support trillions of transactions every year in the digital economy. Efficient digital signatures, ensuring the integrity, authenticity and nonrepudiation of data with provable security, are highly urgent and intractable open problems. Here, we propose a protocol of high-efficiency quantum digital signature using secret sharing, one-time universal$_2$ hashing and the one-time pad. We just need to use a 384-bit key to sign documents of up to $2^{64}$ lengths with a security bound of $10^{-19}$. If one megabit document is signed, the signature efficiency is improved by more than $10^8$ times compared with previous quantum digital signature protocols. Furthermore, we build the first all-in-one quantum secure network integrating provably secure communication, digital signatures, secret sharing and conference key agreement and experimentally demonstrate this signature efficiency advantage. Our work completes the cryptography toolbox of the four information security objectives.
The Effect of Class Definitions on the Transferability of Adversarial  Attacks Against Forensic CNNs

In recent years, convolutional neural networks (CNNs) have been widely used by researchers to perform forensic tasks such as image tampering detection. At the same time, adversarial attacks have been developed that are capable of fooling CNN-based classifiers. Understanding the transferability of adversarial attacks, i.e. an attacks ability to attack a different CNN than the one it was trained against, has important implications for designing CNNs that are resistant to attacks. While attacks on object recognition CNNs are believed to be transferrable, recent work by Barni et al. has shown that attacks on forensic CNNs have difficulty transferring to other CNN architectures or CNNs trained using different datasets. In this paper, we demonstrate that adversarial attacks on forensic CNNs are even less transferrable than previously thought even between virtually identical CNN architectures! We show that several common adversarial attacks against CNNs trained to identify image manipulation fail to transfer to CNNs whose only difference is in the class definitions (i.e. the same CNN architectures trained using the same data). We note that all formulations of class definitions contain the unaltered class. This has important implications for the future design of forensic CNNs that are robust to adversarial and anti-forensic attacks.
Image Forgery Recognition using SWT Method

Using SWT (Stationary Wavelet Change) &amp; SIFT (Scale Invariant Feature Transformation) we attempted to increase the number of features recognized &amp; matched with digital image for forgery identification. Digital image received preferable match for forged area. We collected the forgery area using SIFT&amp; SURF for identification of forgery. We used DWT (Discrete Wavelet Transform) w.r.t. SIFT &amp; SW to subdue absence of translation invariance..
Petrophysical, petrographic and mineralogical characterization of pre-salt analogue – Purbeck Group, UK

In this work, we characterized mineralogical, petrographic and petrophysically the Mupe Member from the Purbeck Group lower portion, located in southern England and northern France.These rocks mainly consist of limestones and can be considered as a partial analogue rock of the Brazilian pre-salt carbonate reservoirs.The laboratory tests campaign to characterize there lithologies comprised of X-ray diffraction (XRD) tests and thin sections description, gas effective porosity and absolute permeability, nuclear magnetic resonance (NMR).The results of XRD and thin sections indicated a mineralogy rich in low-magnesium calcite and the presence of different types of pores.The NMR T2 distribution indicated that the plugs are very heterogeneous, having pore size distributions varying from bimodal to polymodal.
Analysis of Student Attention in Classroom Using Instance Segmentation

As the youth mind rapidly evolves, education systems keep changing parallelly to remain effective. However, today’s education system focuses primarily on delivering knowledge but does not ensure it reaches the student. When student attentiveness is analysed, we can more efficiently evaluate the course structure and the needs of students. This is especially vital because E-learning is the future, but the inattentiveness of students and lack of feedback is holding back its growth. In order to overcome these problems, analysis of student attention in the classroom is done using computer vision. The behavior of students are captured with cameras fixed in the classroom and instance segmentation is applied to segment each student and determine his/her attentiveness. The analysis reports can be utilized by the course handlers to take further steps to improve the course material, and handle personal student issues. This feedback system aided by computer vision will take E-earning to the next level.
SYSTEM OF CONTINUOUS TRAINING OF ELEMENTARY SCHOOL TEACHERS TO WORK WITH THE GIFTED STUDENTS: EXPERIMENTAL RESEARCH

The study investigates the preparation of elementary school teachers for working with gifted students, and the process of its formation in the system of continuous pedagogical education. The methodological, theoretical and methodological principles of the study are presented. The study theoretically substantiated the main principles of the elementary school teachers’ preparation to work with gifted students. Core components are demonstrated to be motivational, cognitive, activity, reflexive and personal. The author’s scientific-methodical system of forming readiness elementary school teachers to work with gifted students in the conditions of continuous pedagogical education are presented The stages of its realization are determined and the effectiveness of implementation of the said system is experimentally proved. The criteria, indicators and levels of preparedness of elementary school teachers to work with gifted students are clarified.
An Online Field Study on Scholarly Journal Annotations

Even though there is an abundance of web-based annotation tools that allow users to share their data across the internet, little is known about how these tools are actually used in the daily work routines of scholars in the Humanities.This chapter presents an empirical study on public inline annotations by publishers, article authors and readers in a scholarly open-access journal.The findings of this study are combined with a meta-analysis of the existing empirical literature on marginal annotations in the Humanities and scholars' willingness to share them.The most important conclusion that can be drawn from the empirical data is that the publication of annotations is not a feature that needs to be offered by all types of scholarly annotation software packages.
Advances in Fuzzy Clustering Used in Indicator for Individuality

Clustering is one well-known data analysis used to summarize a large amount of data into a much small number of clusters based on the similarity between a pair of objects. For this purpose, it is self-evident that clustering is expected to be a powerful technique for dealing with the challenges of complex data. However, conventional clustering techniques still have problems with such data due to the strong noise and fluctuation of scalability. Fuzzy clustering is expected to overcome these problems since it has better performances such as robustness of the solution, tractability, less computation, and can obtain more accurate results for the real-world data. Recently, “new integration techniques of fuzzy clustering” to the conventional analysis have been developed for several kinds of complex data. In this chapter, we describe the advances of fuzzy clustering integrated to convex clustering for extracting differences of subjects based on data consisted of objects, variables, and subjects.
Design and Implementation of Online System for Party Building Work of College Students in the Era of Artificial Intelligence

Artificial intelligence helps to improve the timeliness, interactivity and accuracy of the party building work of college students. Through the design of fragmented thinking, the three-dimensional structure combination of offline physical platforms and online multiple virtual platforms is explored to explore the integration of virtual and real platforms for student party building It is a new way to more effectively realize basic party building work such as party member development, education, management, and service. Therefore, in order to integrate artificial intelligence into the party building work of college students, it is necessary to innovate the four aspects of thinking, management, operation, and cooperation, so as to promote the deep integration of artificial intelligence and college student party building work, and increase the construction efficiency by 6.98%.
The Profile of Outcome Patient Response to The Quality of Drug Information Services in Medicine Rooms at Mamajang Puskesmas

The pharmacist should always provide maximum drug information services to the patients in order that the information they got will not be hesitate with the medicine they will consume. The research has been done related to the profile of the outpatients’ satisfaction at Mamajang public health center toward the quality of drug information services. The aim of this research is to know the profile of the outpatients’ satisfaction at Mamajang public health center toward the quality of drug information. This research used descriptive method. The data were obtained by collecting the result of the answers from questionnaires with 10 questions than make tabulation, scoring then presented, where the total of samples were got as many as 96 respondents with rating scale Likert namely: satisfied, quite satisfied, not satisfied. Based on the result of the research, it can be inferred that outpatients at Mamajang public health center felt satisfied with the drug information services which is given by crew of public health center in this case on the part of pharmacist itself with percentage 85,24%.