Reviewerly/exHarmony huggingface dataset:
Electronic Signature Development and Verification System by using Biometric Selection

Electronic signatures as a method of identification and safety of electronic records are dictated by the Information Technology Act 2000. Electronic signature is an electronic token that connects the company to the data record. It is intended to validate and authenticate electronic documents. Validation relates to the accreditation method of the content of the paper, and authorization relates to the accreditation method for the transmitter.. Registration method is performed using publicsignal encryption; the signatory utilizes its private key to produce a digital paper record. The purpose of the paper is to guarantee that its actual information remains untouched. Its diverse nature has facilitated the production, storage, distribution and recovery of information by a simple, quicker, precise and comfortable method without contemporary text-based rules and regulations. This has resulted the universe to go internet, leading in turn to greater technological reliance, to boost the use of mobile technology in everyday lives. Progressively company operations in cyber space are held out, including interaction, formal information and commercial activities. The situation from document to digital job has been transformed. The supply for an operating digital structure for signatures for both private as well as government sectors has increased quickly in recent years. This research examined the world normal digital signature systems in order to ensure optimal safety for electronic systems and examined its likely implementations in different fields. The writers have studied them thoroughly. The research is focused on the prospective of information technology and the total data on digital sign.
Transforming Unstructured data to Structured data using Map Reduce and HBase

Unstructured data is defined as a pre-defined data model or unorganized in a pre-defined mode.It is classically text-bulk, but it can hold data like dates, numbers, and facts.This outcome in irregularity and ambiguity which make it hard to comprehend with long-established programs when compared to stored data in particular location in data bases.This type of data can be altered into structured format using Hadoop Distributed File System.By using Big Data Analytics technique, a Hadoop ecosystem tools like Map Reduce and HBase, data that is unstructured can be formatted into structured data and then results display in HBase.
2018 Annual List of Best Historical Materials Selected by RUSA’s History Section Experts

The RUSA/CODESS Historical Section’s Historical Materials Committee follows an established method to identify the best materials for the year. The process uses standardized criteria, a broad, national call for nominations, and the work of committee members to review and select from the nominations. The 2018 Best Historical Materials’ list is a mix of digital archives, collections, indexes, and print bibliographies that promote the research of unique, rich, and specialized collections. All resources were last reviewed on January 21, 2019.—Editor
A Geochemist’s Perspective on the Pace, Magnitude, and Drivers of Sea-Level Change

The dynamics of past climate and sea-level change provides important benchmarks for models that are used to project future sea-level rise.U-Th dating of fossil corals and speleothems has played a key role in establishing a temporal framework for the absolute timing and rate of past sea-level changes on glacial-interglacial timescales.On one hand, technological advances have improved the precision of our analytical tools, enabling us to ask different questions and push the boundaries of temporal and spatial resolution.On the other hand, dating fossil corals poses a number of challenges including factors that affect age determination as well as uncertainties in interpreting paleowater depth and inferring global sea-level from site-specific reconstructions.In seeking to refine our understanding of past sea-level change in both space and time we have faced a number of obstacles as a community -some of them analytical or geochemical in nature, while others require interdisciplinary partnerships.I will summarize some of the approaches to overcoming these hurdles by considering how our understanding of Last Interglacial sea level has evolved through time and how our existing knowledge as well as future research efforts are relevant to understanding the timing, magnitude and nature of future sea-level rise.
Perpetual Shift

Perpetual Shift, a responsive art installation, exists at the intersection of digital media, art and architecture, bearing a range of connections to the realm of ubiquitous computing and adding to evolving perspectives in the fields of installation art and interactive architecture by proposing a new mode of engaging with data through the physical built environment. The physical embodiment of the sculpture has the functional properties of a Tangible User Interface and employs an innovative approach to material application to generate multi-modal dynamic output (sight and sound). Though as a device Perpetual Shift is capable of being programmed to function as a form of data-physicalization, this artwork is a form of data-sculpture whereby location of the human body is interpreted as data which drives the actuation of the built environment.
A Novel Clone-Based Reuse Method to Maintain Proficiency in Software Engineering Practice

The source code of an application paves way for a quality software product. Quality software in-turn helps in imposing software reuse. In this paper, pieces of similar codes also known as code clones or code duplications are considered as reusable software components. In general code clones are considered harmful in software engineering practice. They are considered to degrade the quality of software. Code clones are detected and removed without further processing. In this paper, a token- based CodeClone reuse method is proposed to detect type1 and type-4 clones. Positive effects of clones are analyzed and beneficial clones are extracted from the cluster of clones detected. The proposed method aids in the art of developing software thereby enforcing the concept of software reuse. The working principle of the proposed method is implemented using open source software as inputs. Beneficial clones are further stored in a database for future use. Clone report is generated as it assists in knowing about the clone details within a software system.
Abstractive Text Summarization of Multimedia News Content using RNN

Programmed content outline is a principle NLP procedure that plans to combine a source content into a shorter change. The fast expansion in all sort of information appear over the web requires abstractive summarization from nonconcurrent accumulations of substance, picture, sound and video. Here propose an abstractive summarization procedure that joins the strategies of NLP, discourse handling, PC vision and Recurrent Neural Network (RNN) to examine the rich data contained from all type of data and to get better insight of the news content. The key plan is to associate the linguistics openings between multimodal substances. Sound and video frames are major properties in video clips. For sound data, we structure a way to manage explicitly manipulate its interpretation and to find the astounding nature of the translation with sound. For video data, we get acquainted with the both depictions of content and pictures with Computer Vision Technique. Previous researches done on Text Summarization mainly focuses on Extractive method of summarization. In this work, we put forward an Abstractive method of summarization with sequence to sequence architecture. Finally, all the multimodal points are considered to make a literary once-over by increasing the striking nature, non-reiteration, clarity and consideration through the arranged streamlining of sub isolated limits
To Sonify or Not to Sonify? Educator Perceptions of Auditory Display in Interactive Simulations

With the growing presence of auditory display in popular learning tools, it is beneficial to researchers to consider not only the perceptions of the students who use the tools, but the educators who include the tools in their curriculum. We surveyed over 4000 educators to investigate educator perceptions and preferences across four interactive physics simulations for the presence and qualities of non-speech auditory display, as well as surveying users’ self-rated musical sophistication as potentially predictive of auditory display preference. We find that the majority of teachers preferred the simulations with auditory display and consistently rated aspects of the experience using simulations with sound positively over the without-sound variants. We also identify simulation design features that align with trends in educator ratings. We did not find the measured musical sophistication to be a predictor of auditory display preference.
Software Project Management Training through game like simulation and Virtual Reality

Presently, we have observed that we are lacking with tools for teaching and assessing Software Project Management. We need to develop some tools to educate capacity of Software Project Management and to allow learners to check their skills and involve the required educational purpose in safe surroundings by using a gamification like methodology. In this paper, an Interactive Gaming System to enrich the fundamentals of Software Project Management using a gamut of techniques &amp; technologies is designed with Gesture Recognition to increase player indulgence in the game. The proposed game also involves multiplayer participation for a common objective over TCP/IP or Internet resulting in increasing team effort. The proposed game is implemented in MATLAB.
A MODEL REFERENCE FUZZY ADAPTIVE SLIDING MODE CONTROLLER

All physical systems are nonlinear in nature.Although nonlinear systems are better they are difficult to control.The Model Reference Adaptive Control (MRAC) that is based on Lyapunov theory is used in conjunction with sliding mode (SM) and fuzzy logic theories and is known as A Model Reference Fuzzy Adaptive Sliding Mode Controller (MRFASMC).In this control scheme, asymptotic tracking of two reference models with different settling times and the different damping conditions is achieved.The outputs do not have oscillation and short settling time.Instead of mathematical modeling of system, fuzzy logic is used for improving transient response of MRAC.The expected advantage of the proposed MRFASMC is to improve the performance specifications in settling time and peak overshoot over the MRAC technique.
МУЛЬТИМЕДІЙНІ ЗАСОБИ В ПРОФОРІЄНТАЦІЙНІЙ РОБОТІ З МАЙБУТНІМИ АБІТУРІЄНТАМИ СФЕРИ ІНФОРМАЦІЙНОЇ ДІЯЛЬНОСТІ

&lt;p&gt;&lt;strong&gt;&lt;em&gt;The purpose&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; of the study is to highlight multimedia technologies as one of the effective means of career guidance work with future applicants in the field of information activities in higher education institutions.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Research methodology&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The following methods were used in the study: descriptive (to indicate the theoretical foundations of the work); analysis and synthesis, structural (for generalization and systematization of the received data).&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; It is established that the use of multimedia technology in career guidance work will significantly expand the coverage of the target audience, apply online marketing strategies to promote the proposal and adapt the forms and content of career guidance materials to its characteristics. Acceptable directions, forms, methods of career guidance work with the use of technologies at the Department of &lt;/em&gt;&lt;em&gt;«&lt;/em&gt;&lt;em&gt;Information, Library and Archival Affairs&lt;/em&gt;&lt;em&gt;»&lt;/em&gt;&lt;em&gt; of the Separate Subdivision &lt;/em&gt;&lt;em&gt;«&lt;/em&gt;&lt;em&gt;Mykolayiv Branch of the Kyiv National University of Culture and Arts&lt;/em&gt;&lt;em&gt;»&lt;/em&gt;&lt;em&gt; are outlined. The possibilities of modern technologies, in our opinion, represent the basis of an effective strategy for the development of modern educational systems in general, will enrich and expand information about future specialties, significantly deepen the horizons of future entrants who will purposefully choose information activities.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Novelty&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;The novelty of the obtained results is due to the fact that, despite the active interest of the scientific community in the use of multimedia technology as one of the effective means of career guidance work with future entrants in the field of information activity in higher education institutions, there are no serious generalizations considering this direction.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Practical meaning.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The results of the study can be used during the introduction of multimedia tools in career guidance activities in higher education institutions.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Key words:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; career guidance work, multimedia technologies, higher education, entrants in the field of information activities.&lt;/em&gt;&lt;/p&gt;
A CIPHERTEXT-POLICY ATTRIBUTE-BASED SEARCHABLE ENCRYPTION SCHEME IN NON-INTERACTIVE MODEL

We address the problem of searching on encrypted data with expressive searching predicate and multi-writer/multi-reader, a cryptographic primitive which has many concrete application scenarios such as cloud computing, email gateway application and so on. In this paper, we propose a public-key encryption with keyword search scheme relied on the ciphertext-policy attribute-based encryption scheme. In our system, we consider the model where a user can generate trapdoors by himself/herself, we thus can remove the Trusted Trapdoor Generator which can save the resource and communication overhead. We also investigate the problem of combination of a public key encryption used to encrypt data and a public-key encryption with keyword search used to encrypt keywords, which can save the storage of the whole system
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation

Pre-trained language-vision models have shown remarkable performance on the visual question answering (VQA) task.However, most pre-trained models are trained by only considering monolingual learning, especially the resource-rich language like English.Training such models for multilingual setups demand high computing resources and multilingual language-vision dataset which hinders their application in practice.To alleviate these challenges, we propose a knowledge distillation approach to extend an English language-vision model (teacher) into an equally effective multilingual and code-mixed model (student).Unlike the existing knowledge distillation methods, which only use the output from the last layer of the teacher network for distillation, our student model learns and imitates the teacher from multiple intermediate layers (language and vision encoders) with appropriately designed distillation objectives for incremental knowledge extraction.We also create the large-scale multilingual and code-mixed VQA dataset in eleven different language setups considering the multiple Indian and European languages.Experimental results and in-depth analysis show the effectiveness of the proposed VQA model over the pre-trained language-vision models on eleven diverse language setups.
An Intelligent Economic Approach for Resource Distribution Stratagem in Fog Computing Podium

An expansion of cloud computing services is Fog computing to the edging of the system to reduce latency and network overcrowding, is a comparatively new research style.Even though together cloud and fog put forward related assets and services, the second is characterized by little latency with a wider increase and geologically dispersed nodes to maintain mobility and synchronized communication.Cloud computing may be well-organized option to own and maintain computer assets and applications for a lot of organizations, mainly tinyand average-sized organizations, because of the reimburse-asyou-exit representation and additional personality (e.g., oncommand, person-service, resource pooling and quick flexibility) .The sustained attention in cloud computing has also resulted in additional rising cloud paradigms, such as fog computing.In this paper, we explain the design of "Skewness" to calculate the abnormality in the multi dimensional resource utilization of a server.To reduce skewness, we be able to combine dissimilar types of workloads adequately and movement generally consumption of server resources.
Detecting Phishing Website with Machine Learning

Attacks are many types to disturb the network or any other websites. Phishing attacks (PA) are a type of attacks which attack the website and damage the website and may lose the data. Many types of research have been done to prevent the attacks. To overcome this, in this paper, the integrated phishing attack detection system which is adopted with SVM classifier is implemented to detect phishing websites. Phishing is the cyber attack that will destroy the website and may attack with the virus. There are two parameters that can detect the final phishing detection rate such as Identity, and security. Phishing attacks also occur in various banking and e-commerce websites. This paper deals with the UCL machine learning phishing dataset which consists of 32 attributes. The proposed algorithm implements on this dataset and shows the performance.
LANGUAGE CHANGES OF INDONESIAN CONJUNCTIONS ON LITERARY OF 1844, 1922 AND 2005

This paper reports on a study that investigates the use of Indonesian conjunctions as hope/purpose marker in the sentences, i.e., agar, biar and supaya.It examines how the conjunctions used century by century and the syntactic pattern occurred after conjunctions are analysed.It used reanalysis method on the sub clause to find out syntactic pattern constructed.Data were taken from three century of literary, such as: 18 th , 19 th and 20 th literary.Then, it also used http://mcp.anu.edu.au/ to get the occurrence frequencies of the three conjunctions on 18 th and 19 th century literary; and AntConc software for 20 th literary.The results showed that: 1) based on the data, conjunction agar is not found in 18 th century literature but it is mostly used as marker of hope/purpose in 20 th literary.It is contrast with conjunction supaya where conjunction supaya is mostly used in 18 th and 19 th literary, but it is very rarely used in in 20 th literacy.2) The conjunction biar gets extended function in 19 th and 20 th century, it not only shows hope/purpose but also shows contradictive things or ability to something.3) The three conjunctions agar, biar and supaya also get change on syntactic pattern in the sub clause, especially the structure of subject and predicate; and constructing complete or incomplete clause.
The Impact of Online Work on the Operating Costs of Petroleum Development Oman (PDO)

Purpose: The objectives of the study were to evaluate how PDO is adapting to the online work approach, to analyze and identify the operating costs of the company that got affected by switching to an online work approach, to evaluate the impacts of the online work approach on operating costs and to evaluate the effects of online work on financial performance and changes in operating costs. Design/methodology/approach: The population of the study was the employees of PDO – the managers and the employees of the accounting and finance department especially those who were involved with the financial issues and were responsible for the company’s cost and revenue calculations. The study included 54 samples from the population. The survey was conducted through a questionnaire using a Google Form and the samples were selected on a random sampling technique. Interview was also conducted. The data collected were analyzed using different data processing methods of data analysis. Findings: The study revealed that PDO successfully adapted to the transition from traditional working to online working and the technology played a key role in doing so. Employees felt benefitted from online working as they were able to manage work-life balance. It was also observed that working online with efficiency reduced the operating costs and increased productivity. It was confirmed the claim that the work-from-home online working benefitted the company significantly in reducing the operating costs. Research limitations/implications: It was suggested that the employees should be well equipped with modern technological equipment and advanced applications to support the online working conditions. The option should be given to employees to work from home should be made as a part of the work routine work even after the pandemic to maintain the work-life balance. Social Implications : The study suggested that the management including the project owners and managers must focus and work more on developing a work style that suits the requirements of different work teams in online working. Originality / Value: This is the first time a study of this kind was carried out to find out the impacts of pandemic on the operating costs and the financial performance of a company. This is a maiden attempt.
IMPLEMENTASI DATA MINING MENGGUNAKAN METODE NAIVE BAYES DENGAN FEATURE SELECTION UNTUK PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU

The Education Efficiency Rate (AEE) is one of the parameters of the quality of the education program. The quality is measured based on 7 main standards, one of which is students and graduates. Meanwhile, to predict students' graduation rates accurately based on manually owned data set characteristics is very difficult. Data Mining by Naïve Bayes method was chosen to find patterns in analyzing and predicting timely graduation of students. As for the test will be done by comparing the initial dataset and dataset characteristics using the algorithm attribute selector Gain Ratio Attribute with the help of tools WEKA. The results showed that there was a difference to the accuracy of the results, and the larger ROC or AUC curves on the dataset characteristics using the selector attribute by using the Gain Ratio Attribute, although not very significant. And the result of this research yield 81% accuracy level with precision equal to 83.563% and recall 88.41%. The method used is included in Good Classification and will become the reference of the college management side, to address the problems that may arise in the decrease of the quality of education (e.g. decrease ratio of lecturers with students)
DEVELOPING RUBIK’S CUBE VOCABULARY FOR ELEMENTARY SCHOOL

The Research and Development aimed to find out the target needs and the learning needs and develop appropriate English learning materials especially for using media in learning process for Grade 5 students at Elementary School of Muhammadiyah Gisting. The purpose of this study is to increase and develop the students’ vocabulary in daily activity. The product of this study is using two different types of rubiks, 2x2 and 3x3 rubik. In each rubik has a worksheet. Based on the material evaluation and implementation, the students can increase their vocabulary using these rubik and the rubik is so useful for learning process.