Reviewerly/exHarmony huggingface dataset:
Classification improvement of spoken arabic language based on radial basis function

The important task in the computer interaction is the languages recognition and classification. In the Arab world, there is a persistent need for the Arabic spoken language recognition To help those who have lost the upper parties in doing what they want through speech computer interaction. While, the Arabic automatic speech recognition (AASR) did not receive the desired attention from the researchers. In this paper, the Radial Basis Function(RBF) is used for the improvement of the Arabic spoken language letter. The recognition and classification process are based on three steps; these are; preprocessing, feature extraction and classification (Recognition). The Arabic Language Letters (ALL) recognition is done by using the combination between the statistical features and the Temporal Radial Basis Function for different letter situation and noisy condition. The recognition percent are from 90% - 99.375% has been gained with independent speaker, where these results are over-perform the earlier works by nearly 2.045%. The simulati.on has been made by using Matlab 2015b.
Multiple Temporal Scales Based Speaker Embeddings Learning for Text-dependent Speaker Recognition

To extract high speaker-sensitive embeddings from deep neural networks is still a challenge in the field of speaker recognition. This paper proposes a novel network that learns speaker embeddings from multiple temporal scales. This idea comes from the recent biological research that the human auditory system has a mechanism of fusing multi-timescale information together to encode sound information. A two-pathway neural network is presented, in which one pathway focuses on short-time (or local) traits and the other focuses on long-range (or global) scale. Both traits are fused into one feature vector and the utterance-level speaker embeddings are extracted from these features. Experimental results show that different timescale traits can complement each other. And their fusion, which refer to as t-vector, outperforms i-vector and other deep embeddings. Moreover, with the end-to-end training, t-vectors can obtain excellent performance even using simple scoring approach like cosine distance.
Evaluation of Student Performance for Future Perspective in terms of Higher Studies using Fuzzy logic Approach

Fuzzy logic has been used for solving various problems of computer science field and many other fields.Fuzzy logic is very useful when it comes to the problem where we need to decide and find the values ranging between 0 and 1 or any other specific range.A student may consider different courses if he/she decides to go for higher studies.Here in this paper authors has used the fuzzy logic to evaluate the correct higher study field for a student.The parameters to consider for evaluation were engineering subject marks which are classified into two fields engineering & management to analyze the future perspective in terms of higher studies.
Mejorando el aprovechamiento de las actividades colaborativas por pares de estudiantes utilizando tecnología educativa en matemática

There are currently a myriad of tools that are used as a complement to educational technology to assist and encourage learning. In Mexico in mathematics area, the schools have not had a sufficient performance, so the interest of this research, is to give a tool to the students of basic level of secondary, to improve in this area. This article describes the results of two exploratory studies carried out during a school year 2016/2017 among students of the mathematics course of the Federal Secondary School No. 2 “Julio Zarate” from the city of Xalapa de Enríquez, Veracruz, Mexico. The studies aim was to find out which pairs of students in a collaborative activity obtained higher learning gains by using an intelligent tutoring system. The methodology consisted in working on students to the first and second year of secondary school, to which they were applied a battery of instruments like pre and post-test to measure the initial and final knowledge, the collaboration test and learning styles test, used as instruments of data collection. Getting results that show that students with the same learning style who work in pairs get significantly higher learning gains (higher score in their pre-test to post-test) than those who work different learning styles, it is concluded that to form teams in pairs for a collaborative activity, students must coincide with the same learning style.
AI & IP: Innovation & Creativity in an Age of Accelerated Change

From a glimmer in the eye of a Victorian woman ahead of her time, AI has become a cornerstone of innovation that will be the defining technology of our time. Around 2016, the convergence of computing power, funding, data, and open-source platforms tipped us into an AI-driven Fourth Industrial Revolution. AI can make a difference in accelerating disruptive innovation by bringing a data-driven approach to invention and creation. To do so, the law must embrace change and innovation as an imperative in a journey towards an ever-shifting horizon. AI both enables and challenges how we reward individuals whose ingenuity, industry, and determination overcame the frailty of the human condition to offer us inventions that make our lives more efficient and pleasurable. It will take a clear-eyed view to ensure that copyright and patent laws do not impede the very progress they were designed to promote. In the creative arts, the work for hire doctrine provides a pragmatic legal vehicle for interests to vest and be negotiated by the commercial interests best placed to encourage investment in both the technology and its downstream uses. Like human-generated work, AI-generated work is an amalgam of mimicry mined from our own learning and experience. The training data it draws upon, both for expressive and non-expressive sues, is merely grist for AI’s mill. Consequently, fair use must be applied to prevent holdup by copyright owners and stifle transformative uses enabled by AI. AI can also be used to decipher complex copyright infringement cases such as those involving musical compositions. In the technological arts, the controversy will revolve around who owns innovative breakthroughs primarily or totally attributed to AI. How should these breakthroughs affect the regard for the notion of PHOSITA? How does AI change the equation when it comes to infringement? And how can AI help save the patent system from obsolescence?
Developing a New Android App for College Management System

Breeze is a new Android Application which provides a common, easy to use platform for college students for better interaction with fellow students, faculty and administration.This work has unique and helpful feature of queries, where students can put up their queries and anyone can answer their queries.For keeping a check over inappropriate posts a feature of report is also provided which tells admin about inappropriate posts and actions could be taken over it accordingly.It also provides user a help option which helps user with any information regarding labs, faculty and lecture halls.Breeze also provides a platform where user can view daily updates of his attendance and syllabus.Breeze app works fluently as it is based on online database system firebase.It has secure login features, and also allows login through Facebook and Google.It also provides basic features like changing password, changing profile picture, retrieving forgotten password.In all, it is an all in one application which has all the features to solve the basic problems of college students.
Managing usability evaluation practices in agile development environments

&lt;span lang="EN-US"&gt;Usability evaluation is a core usability activity that minimizes risks and improves product quality. The returns from usability evaluation are undeniable. Neglecting such evaluation at the development stage negatively affects software usability. In this paper, the authors develop a software management tool used to incorporate usability evaluation activities into the agile environment. Using this tool, agile development teams can manage a continuous evaluation process, tightly coupled with the development process, allowing them to develop high quality software products with adequate level of usability. The tool was evaluated through verification, followed by the validation on satisfaction. The evaluation results show that the tool increased software development practitioner satisfaction and is practical for supporting usability work in software projects. &lt;/span&gt;
Automatic foreground detection based on KDE and binary classification

In the recent decades, several methods have been developed to extract moving objects in the presence of dynamic background. However, most of them use a global threshold, and ignore the correlation between neighboring pixels. To address these issues, this paper presents a new approach to generate a probability image based on Kernel Density Estimation (KDE) method, and then apply the Maximum A Posteriori in the Markov Random Field (MAP-MRF) based on probability image, so as to generate an energy function, this function will be minimized by the binary graph cut algorithm to detect the moving pixels instead of applying a thresholding step. The proposed method was tested on various video sequences, and the obtained results showed its effectiveness in presence of a dynamic scene, compared to other background subtraction models.
PENGARUH MEDIA PUZZLE AKSARA JAWA TERHADAP KEMAMPUAN MENULIS AKSARA JAWA

Javanese letter is an original Indonesian culture heritage. As a part its conservation, on 2 October 2009, UNICODE, as an institution under UNESCO, determined that Javanese letter was equally admitted what the other letter over the world such as Latin, Chinese, Arabic, and Japanese. However, this condition was not balanced with the development of the Javanese letter in Indonesia, especially by the Javanese people. This research was aimed at revealing more effect of the puzzle media of Javanese letter toward the student competence in writing Javanese Letter in class III-A as the control class and class III B as the experiment class. All the student of class III are homogeny, therefore the sampling technique used Simple Random Sampling. The data collection in this research was by test results. The data was calculated by normal, homogeny test and t-test. The result of student and was accepted therefore the puzzled media after better toward the students' competence in writing and reading Javanese Letter.
A Proposed New Framework for Securing Cloud Data on Multiple Infrastructures using Erasure Coding, Dispersal Technique and Encryption

Cloud computing is a technology that has come to save organizations from investing in and owning high cost IT infrastructure including its management and maintenance.The technology enables an organization to outsource its IT needs to the care of a remote third party Cloud Service Provider (CSP) while focusing on its core business processes.It enables the usage of IT resources remotely as a service on subscription basis at a per usage fee on demand.The service models available are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).These service models are deployed in one of four cloud deployment models as Public, Private, Community or Hybrid cloud.Despite the technology's numerous benefits, it also poses serious security threats to vital business data assets as the subscriber has to surrender control over its management and maintenance to a remote CSP.The threats include: the CSP using the data for their own gains, the location of the data not known to the subscriber, the ownership of the data (for example, on contract termination or in the event of conflict or dispute), and also the subscriber not knowing who has unauthorized access to their data resource.The challenge therefore, is how to create a secure and vigorous data security solution that can mitigate these threats and alleviate the cloud subscriber fear to freely enjoy using cloud computing services.Hence, this study proposes a Six-level Cloud Data Distribution Intermediary (CDDI) Framework that enables the cloud subscriber to effectively secure its data against these threats.The framework employs Erasure Coding (based on the Galois Field Theory and Reed Solomon Coding), and a Data Dispersion technique with a Transposition Encryption technique based on Rubik's cube transformation.In addition, it also uses this study's proposed Erasure Coding technique based on checksum dubbed "Checksum Data Recovery" (CDR).The CDDI framework when implemented on the cloud subscriber's gateway system will encrypt and split the subscriber's data into chunks of data fragments which are distributed randomly to the subscribers selected multiple CSP storage infrastructures.This alleviates threats of data usage, location, ownership, and access, identified.
One-step synthesis of TiO2 nanoparticles using simple chemical technique

Titanium dioxide nanoparticles (TiO2) have been extensively investigated because of its high chemical sustainability, optic properties, and adaptation to the environment. These studies include applications in heterogeneous catalysts, solar cells, coating technology, and electrical devices. TiO2 particles in the nanometer scale can remove limitations, such as the absorbance of organic materials, because of a high surface area to volume ratio. Titanium dioxide nanoparticles, were synthesized using a simple wet chemical method. Their physico-chemical properties were characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses. The TEM results showed that the mean size of as-synthesized TiO2 was 5 nm with high crystalline anatase phase. The SEM observations revealed that the size of nanoparticles increased with annealing temperature and the morphology of the particles changed to the spherical shape. The crystal structure of the nanoparticles before and after annealing was done by XRD analysis. The rutile phase was formed after heat treatment at 600oC for 3 hours.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp
Developing a Model of Supplementary English Materials Based on Local Content

This research was intended to develop a model of supplementary English materials based on local content for the eighth-grade students of SMP Negeri 9 Palangka Raya in the second semester. In this research, the researcher adapted the development model proposed by Sugiyono (2013:298) with the following steps: need assessment, data analysis, reference of the research, development of a model of supplementary English materials, expert validation, revision, try-out of the model, revision, and final product. The instruments used in this research consisted of questionnaire, interview, and observation. The data obtained were analyzed and described qualitatively. The final product of this research was a model of supplementary English materials based on local content. The materials were divided into three units. The first unit was about descriptive text, particularly about describing things which included traditional musical instruments and weapons from Central Kalimantan. The second unit was about recount text, particularly about retelling experience in visiting tourism places in Central Kalimantan, especially Palangka Raya. The third unit was about narrative text, particularly about fables from Central Kalimantan.
Main Activities of the European Network of Forensic Science Institutes at the Present Stage

The article provides an outline of key events involving the European Network of Forensic Science Institutes. A key aspect of ENFSI activities is participation in the implementation of the European Union Council plan to create an integrated European Forensic Science Area 2020. This work is based on the EU system of direct grants, usually issued for a two-year period. A number of batch themed grants is discussed. The results of the Board, Standing Committee and Working Group activities, as well as scientifc projects coordinated by the ENFSI are presented. The interaction of ENFSI with external partners, primarily with members of the International Forensic Strategic Alliance uniting all major expert networks is brieﬂy analyzed.
The Revolution and Intelligentsia in G.G. Shpet’s &lt;i&gt;An Outline of the Development of Russian Philosophy&lt;/i&gt;

The article analyzes G.G. Shpet’s understanding of the October Revolution, as reflected in his An Outline of the Development of Russian Philosophy. The author examines Shpet’s theory of the types of intelligentsia (ecclesiastical intelligentsia, ministerial intelligentsia, and oppositional intelligentsia) and their attitude to the Russian Revolution, which Shpet treats as an ideal notion aimed at promoting cultural development. The author maintains that, according to Shpet, oppositional intelligentsia, forming the new Soviet government, and the former ministerial intelligentsia treated culture similarly. Thus, in the sphere of cultural development, Soviet Russia abode by tsarist cultural policies. This enables the author to conclude that Shpet views the Russian Revolution as a wasted opportunity to change the relationship between government and culture. Having analyzed Shpet’s ideas, one can conclude that the political events of 1917 cannot be truly considered revolutionary, since the idea of a revolution implies a radical change of the existing political order, something which can hardly be said in case of the “Revolution of 1917.” The history of opposition vs. government confrontation in the tsarist epoch appears to be similar to the social processes associated with the dissident movement in the USSR. The article gives special attention to Shpet’s interpretation of N.G. Chernyshevsky’s work. The article shows that Shpet rightly links Chernyshevsky’s creative work with 18th-century European Enlightenment, comparing Chernyshevsky with Voltaire. Shpet believes that Russian oppositional intelligentsia can be associated with the Enlightenment. The article uses a range of traditional methods of history of philosophy: hermeneutics, comparative method, and historical reconstruction.
A Novel Concept of Electrical Stimulation of Touchscreens Used for Automated Verification of Mobile Devices

As the complexity and abundance of consumer electronic devices rises with the fast pace, efficient and reliable methods of their verification on the production line are extensively researched.This paper presents a novel concept of electrical stimulation of touchscreens which aims to fully automate the verification of devices with touchscreens on the final production line.Without mechanical moving parts, this approach is based on a stimulation board which constantly touches the entire screen and produces the required touches on the desired screen coordinates while being controlled by electric means only.Experiments were performed to choose the optimal material for the touch surfaces and determine the optimal size and separaton of the touch surfaces.Furthermore, the system for automated verification of touchscreen-based devices based on the proposed concept is described.The system supports single and multiple touches, line movements and multiple line movements.The system achieved more than 99 % reliability in producing controlled touches on screens up to a size of a tablet.
A hybrid algorithm to reduce energy consumption management in cloud data centers

&lt;p&gt;There are several physical data centers in cloud environment with hundreds or thousands of computers. Virtualization is the key technology to make cloud computing feasible. It separates virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of user application. It is also possible to dynamically alter the allocated resources of a virtual machine. Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering thermal characteristics of the environment. This paper focuses on load balancing methods as they act dynamically because of their dependence on the current behavior of system. By taking a detailed look on previous methods, we provide a hybrid method which enables us to save energy through finding a suitable configuration for virtual machines placement and considering special features of virtual environments for scheduling and balancing dynamic loads by live migration method.&lt;/p&gt;
Penggunaan Media Animasi Berbasis Macromedia Flash untuk Meningkatkan Hasil Belajar Siswa pada Konsep Materi Sistem Peredaran Darah Manusia

This research aims to improve cognitive, affective and psychomotor learning outcomes through using animation based on macromedia flash. The subjects of classroom action research were 20 students, 11 male students and 9 female students from class VIII Christian Middle School 4 Salatiga. The study was conducted for 2 months in the 2017/2018 school year with 4 meetings. Measurements on cognitive learning outcomes, used instruments in the form of learning outcomes tests with 25 items, affective and psychomotor domains using questionnaire and observation sheets. Data processing and analysis used is description analysis. The percentage gain in the pre-cycle is 25% and the percentage of student learning completeness is obtained in the first cycle with a percentage of 52.9%. Furthermore cognitive learning outcomes also increased in the second cycle to 82.3%. The increase in the percentage of students 'completeness with an average of 53.4% indicates that there is a change and an increase in students' cognitive learning outcomes from the pre-cycle, cycle I and cycle IIAffective learning outcomes in the first cycle had a achievement of 55%, the acquisition of affective aspects in the first cycle still had not achieved the expected completeness, namely the standard score of 70%. However, in the second cycle the affective aspect achieved a percentage score of 78%. While the psychomotor aspects in the first cycle were 53%, increasing up to 75% in the second cycle with completeness of ≥75%.
The Role of Participative Decision Making and Psychological Ownership in Enhancing Organizational Commitment and Knowledge Sharing Behavior

The world is facing 4th industrial revolution, where technology improve very quickly, and make human resource being valuable asset.It makes organization should consider mechanism that enhancing human capital improvement.The purpose of this paper is to find the impact of participation in decision making as the mechanism and psychological ownership on organizational commitment which can lead to employee knowledge sharing.The purpose of this paper is to find the impact of participation in decision making and psychological ownership on organizational commitment which can lead to employee knowledge sharing.The survey involved 153 respondents from various industries.The results showed that participative decision making will strengthen employee's commitment through the assistance of psychological ownership.However, they did not show any influence on knowledge sharing behavior.