Reviewerly/exHarmony huggingface dataset:
Statistical Analysis of the Total Annual (Maximum, Minimum) Temperatures and Total Annual Evaporation for the Period 2011-2017 for the Governorates of Babil and Najaf

The simple linear correlation coefficient (pearson) is a tool for people who work in statistical analysis.The aim of this study is to determine the required sample size (water level) to estimate the Pearson coefficient of correlation in terms of force and direction of total temperature variables (maximum, minimum).The annual total annual evaporation of Babil governorate was marked by the symbol E for the governorates of Babylon and Najaf during the period from 2011-2017.The result of the association of the total annual maximum temperatures and the total annual evaporation of the province of Babylon is strong and positive as a result of the correlation of the total of the minimum temperatures and the total annual evaporation of the province of Babylon is weak and positive, the total temperature (maximum, minimum) and total annual evaporation of Najaf governorate were weak and negative.
Towards Usable Level PCG

My proposed dissertation work attempts to make procedural content generation (PCG) for game levels easier to use and more expressive for designers. This can be split into three rough layers: improving the expressive range of a dungeon PCG genetic algorithm by using multiobjective optimization, providing a more intuitive way for designers to create fitness variables, and letting them train the PCG system to give them the output they expect. While this work will focus on PCG algorithms for generating game levels, ideally much of the evaluation concept in this paper will be applicable to other forms of PCG. I will hopefully also be able to show that having the designer interact with an expressive PCG system as their ”apprentice” is effective.
Towards Accurate Text Verbalization for ASR Based on Audio Alignment

Verbalization of non-lexical linguistic units plays an important role in language modeling for automatic speech recognition systems.Most verbalization methods require valuable resources such as ground truth, large training corpus and expert knowledge which are often unavailable.On the other hand a considerable amount of audio data along with its transcribed text are freely available on the Internet and could be utilized for the task of verbalization.This paper presents a methodology for accurate verbalization of audio transcriptions based on phone-level alignment between the transcriptions and their corresponding audio recordings.Comparing this approach to a more general rule-based verbalization method shows a significant improvement in ASR recognition of nonlexical units.In the process of evaluating this approach we also expose the indirect influence of verbalization accuracy on the quality of acoustic models trained on automatically derived speech corpora.
Implementation of Google Maps API and Firebase for Android Based Photographer Marketplace Information System

Nowadays, people increasingly need photography services for personal documentation.They often use social media to share their photography content.Photographers also use social media as a promotional media, however, that does not make it easier for people to get in contact with them.It is because social media such as Instagram or Facebook are not a special platform for providing photography services, in addition, they cannot make photography service transactions easily.An Android-based photographer marketplace information system is the solution to these problems.By using the Google Maps API and Firebase, this system is an application system on the Android platform that is developed to connect photographers and consumers in order to make an easy transaction.This system uses the Google Maps API for mapping the location of photographers, MySQL as user data storage, and the Firebase API for creating messages and notification features in real-time.
Author Correction: Topological matter: Shrewd detectives find a dissipation channel

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Sistema Vocálico do Ashaninka

This article deals with the Ashaninka vowel system, language of the Arawak family.The analysis follows the theoretical assumptions of the Círculo de Praga, developed by N. Trubetzkoy and R. Jakobson.The study of Arawak languages is still very scarce, especially when compared to other language families and trunks.Among the many issues discussed in this family's language studies, their vowel systems still have many doubts.The aim of this paper is to analyze some of these doubts about Ashaninka vowels, the main focus is try to demonstrate if this language has a system with three or four vowels.
Pelatihan Pembelajaran Bahasa Inggris untuk Anak Usia Dini pada Guru RA Se-Kabupaten Pasuruan

This is a community service activity which was about English teaching and learning for young learners and its application in classes. The teachers of young learners needs to have knowledge about songs, games and media to teach English which is appropriate with learnersâ€™ and eraâ€™s need. Furthermore, this workshop is important to facilitate the teachers in giving the fun English materials. In this activitiy the teacher were trained to make the fun applicated media and the newest English nursery songs and games to be applied in their classes. It is hoped that this activity can facilitate the teachers in Kabupaten Pasuruan about the importantce of English learning for Young Learners, also teachers are hoped to be able to apply the fun and effective teaching learning process which is appropriate to the age and ability of the young learners and also appropriate with this era.Keywords: English teaching, teachers, workshop
PENGEMBANGAN MODUL BERBASIS WEB UNTUK PEMBELAJARAN ILMU PENGETAHUAN SOSIAL TERPADU

This research is aimed to produce web module that titled hasnenians web module designed in social science study, review the final web module’s profile, and to know how effective this web module for increase student’s final score in SMP Negeri 1 Sanggau. This research and development consists to Borg and Gall theory, and for design of instructional system take an ADDIE (Analyze, Design, Develop, Implementation and Evaluation) Instructional Development Model. There are the steps of the web module that combined the syntax of R &amp; D model and ADDIE model, they are; pre research Steps that consist of research and information collecting, develop steps that consist of develop preliminary form of product, expert validation and revise, one to one trial, small group trial, field trial and final product revisi, and then Implementation steps, and the final product of web module can run out in the classroom as one of learning source to help the students to understand about social science. The web module can access by online for everyone anywhere and anytime. The result of this research showed that hasnenians web module have given a lot in learning process that proved by the effect size score and also from pretest and posttest’s score.
Neural Network-Based Models with Commonsense Knowledge for Machine Reading Comprehension

State-of-the-art machine reading comprehension models are capable of producing answers for factual questions about a given piece of text.However, some type of questions requires commonsense knowledge which cannot be inferred from the given text passage.Thus, external semantic information could enhance the performance of these models.This PhD research proposal provides a brief overview of some existing machine reading comprehension datasets and models and outlines possible ways of their improvement.
Pemanfaatan Algortima K-Means Clustering Sebagai Pengamanan Pencurian Buah Kelapa Sawit Se-Distrik Tandun PT. Perkebunan Nusantara V

Oil palm fruit theft at PT. Perkebunan Nusantara V still occurs frequently, especially in one district, Tandun District which has 6 oil palm and rubber plantations. The high rate of theft of oil palm fruit causes a decrease in the production of oil palm fruit and palm kernel. This study discusses the use of the K-Means Clustering algorithm as one of the data mining algorithms in grouping data on palm oil theft in the oil palm plantation area of Tandun District. With a number of theft data, this study enables the discovery of the potential for theft of oil palm fruit in the location of oil palm plantations at low, medium and high levels. K-Means Clusering algorithm calculation uses 3 supporting parameters, namely the area of each afdeling, the number of fruits that have been saved, and the number of fruits that have been stolen. After knowing the locations that have the potential for theft of oil palm fruit, the company can implement a strategy to safeguard those potential locations.
High-Assurance Security in Swift Component

Cloud platform includes several storage services that can be used to manage the needs of users in both private and public environments.Swift, an object storage component of the OpenStack cloud computing platform is used to store, manage and retrieve data.The CIA Model is key considerations for cloud computing services such as the Swift storage.Due to the simplistic nature of Swift storage, its trust model has a negative implication and this amplifies the potential impairment from compromised node, leaving the cloud platform vulnerable to various attacks.The existing model requires fundamental modification with improvement in security and trust level.The authors discuss in details the steps of the proposed model and how improving the security of cloud computing can be achieved.The results of this research indicate that the proposed model, i.e., CloudSecure have significantly improved and effective the security.Conclude, the cognitive effectiveness of the existing OpenStack Swift has been improved.
Message from the IEEE TrustCom 2019 Program Chairs

On behalf of the Program Committee of the 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2019), we would like to welcome you to join the conference in Rotorua, New Zealand.TrustCom-2019 aims at bringing together researchers and practitioners in the world from both academia and industry who are working on trusted computing and communications in computer systems and networks.The conference will feature keynote speeches, technical presentations, symposiums and workshops, where the technical presentations from both the research community and industry will cover various aspects including trust, security, privacy, forensics, analytics and emerging technologies.TrustCom-2019 received 286 submissions for the main conference.
Learning face similarities for face verification using hybrid convolutional neural networks

&lt;span&gt;Face verification focuses on the task of determining whether two face images belong to the same identity or not. For unrestricted faces in the wild, this is a very challenging task. Besides significant degradation due to images that have large variations in pose, illumination, expression, aging, and occlusions, it also suffers from large-scale ever-expanding data needed to perform one-to-many recognition task. In this paper, we propose a face verification method by learning face similarities using a Convolutional Neural Networks (ConvNet). Instead of extracting features from each face image separately, our ConvNet model jointly extracts relational visual features from two face images in comparison. We train four hybrid ConvNet models to learn how to distinguish similarities between the face pair of four different face portions and join them at top-layer classifier level. We use binary-class classifier at top-layer level to identify the similarity of face pairs which includes a conventional Multi-Layer Perceptron (MLP), Support Vector Machines (SVM), Native Bayes, and another ConvNet. There are 3 face pairing configurations discussed in this paper. Results from experiments using Labeled face in the Wild (LFW) and CelebA datasets indicate that our hybrid ConvNet increases the face verification accuracy by as much as 27% when compared to individual ConvNet approach. We also found that Lateral face pair configuration yields the best LFW test accuracy on a very strict test protocol without any face alignment using MLP as top-layer classifier at 87.89%, which on-par with the state-of-the-arts. We showed that our approach is more flexible in terms of inferencing the learned models on out-of-sample data by testing LFW and CelebA on either model.&lt;/span&gt;
Perancangan Prototipe Aplikasi Customer Relationship Management (CRM) Berbasis SMS Gateway Untuk Mendukung Proses Penyetaraan Mahasiswa Pada Universitas Budi Luhur

The company began to aware potential sectors that could maintain and even increase revenue. So that, staying in touch with customers become serious point at Budi Luhur University, which is one of the private universities in Jakarta. Therefore various efforts made so that customer has good relations with the company. The solution is providing easy access to information using communication devices in the form of mobile phones, especially in the process of “penyetaraan mahasiswa”. Writer applies the Customer Relationship Management (CRM) approach which aims to convey information to customers more efficiently by using communication devices. The design of the system is based on the SMS gateway that become bridge between handphone and the SMS server. Based on the research methodology, the design of an SMS gateway-based system is obtained, so that it can help simplify and speed up the delivery of information about the timeline and checkpoint progress of “penyetaraan mahasiswa”.
The implementation of song lyric “I Have a Dream by Westlife” to improve students’ vocabulary of verbs in the seventh grade students of MTsN Sidorejo Madiun

English as an international language has important role in human life. The functions of learning English in Junior High School are; first, by studying English students are expected to have a means to develop their knowledge of science, technology and culture. The second is students are expected to be able to support the development of tourism. Students must be able to use a lot of vocabulary of English, if they want to be successfull in learning. Vocabulary is an important element in language besides pronunciation and grammar. We can’t express ideas in English without learning English vocabulary.Based on the explanation above, the researcher is interested in conducting research titled “ The Implementation Of Song Lyric “I Have A Dream By Westlife” To Improve Students’ Vocabulary Of Verbs In The Seventh Grade Students Of MTsN SIDOREJO Tiron Madiun In The Schooling Year 2014/2015”.Music and song are included in teaching media, the use of music and song in the classroom can stimulate very positive associations to someone who study language. The result of the analyzing data indicates that the uses of song lyric in teaching vocabulary of verbare divided into two steps. The first is preparation steps. The preparations steps includes prepare the material, stabling instructional purpose, prepares the lesson plan and syllabus. The second is learning process. The learning process includes pre-activity, whilst-activity, and post-activity.
The Utilization Of Screencast O Matic Application As A Medium In The Hindu Religious Learning Process

&lt;p&gt;&lt;em&gt;Education is one of the most important things when plunging into the society, no exception when it comes to religion. Definition of how important education and religion are inseparable. They who embraced the Hindu taught about their beliefs through formal education in schools, but there are always shortages that make the educational levels of our religion becomes very low. And one of the problem is the process of learning theory and practice in Hindu religious are rated more boring because it contains lectures and stories. Besides, the education system in our country has too many anomalies since the beginning. One example is the system want to spawn a quality product, but they did not consider the best time per subject for students studying in the school. And also, as an educator, there are many things that can happen that make their time to teaching students with face-to-face is lost. Have workshops, go to meetings and fulfill their administrative duties as educators who make their exclusion of students. This is a system that shows the lack of quality of learning but educators would like to encourage the students involved in the process of learning to make it work. Here, the author would like to give a simple solution of saving time educators without lowering the quality time to teach and skipped a meeting at school. This application named Screencast O Matic.&lt;/em&gt;&lt;/p&gt;
Text Competence Of Pupils Attending The Second Grade Of The Elementary School

This study brings results of monitoring of text production process of pupils of the second grade of elementary schools. Through research survey we will observe relation between pupils‘ metacognition and quality of their texts. Goal of this research is presented by verification of innovative didactical conception through systematic work with experimental group of pupils attending the second grade of the elementary school, effective interconnection of research with pedagogical practice and maximalization of influence of research probe to educational process itself, monitoring of individuals during production of text and detail analysis of psycho-didactical aspects of writing process. Within the frame of the qualitative research we used following methods: General self-efficacy scale and its modified version, data content analysis. On the basis of analysis of all research data we found that there is direct relation between level of metacognitive knowledge and metacognitive skills (monitoring, self-regulation and self-evaluation) and quality of texts. Pupils with high rate of personal ability usually have higher level of metacognitive skills and at the same time they are authors of good texts.
Mining Tweets that refer to TV programs with Deep Neural Networks

The automatic analysis of expressions of opinion has been well studied in the opinion mining area, but a remaining problem is robustness for user-generated texts.Although consumergenerated texts are valuable since they contain a great number and wide variety of user evaluations, spelling inconsistency and the variety of expressions make analysis difficult.In order to tackle such situations, we applied a model that is reported to handle context in many natural language processing areas, to the problem of extracting references to the opinion target from text.Experiments on tweets that refer to television programs show that the model can extract such references with more than 90% accuracy.
Cloud based Framework for Fake Review Detection

Online reviews are one of the significant factors in a customer’s purchase decision or to avail of any service. Online reviews give rise to the potential threats that fake reviewers may write a false review to artificially promote a product or defaming value of a service. Using Natural Language Processing, many methods have already been developed to detect fake reviews, especially reviews written in the English language. In this paper, I propose a novel framework where authenticity of a feedback will check through two perspectives. Firstly, the system checks whether the review is fake or not. Secondly, it also checks the authenticity of the reviewer. The outcome result accumulates in cloud storage for providing further business analytics.
Discovering the Functions of Language in Online Forums

In this work, we revisit the functions of language proposed by linguist Roman Jakobson and we highlight their potential in analyzing online forum conversations.We investigate the relation between functions and other properties of comments, such as controversiality.We propose and evaluate a semi-supervised framework for predicting the functions of Reddit comments.To accommodate further research, we release a corpus of 165K comments annotated with their functions of language.
THE LEADERSHIP QUALITIES FORMATION OF FUTURE EDUCATORS BY MEANS OF STUDENT SELF-GOVERNMENT

The article reveals the meaning of the notion “leadership”. Modern national and foreign approaches which determine leadership have been analyzed. Processes of leader­ship and management have been compared. Main characteristics of future educators` leader­ship qualities have been proposed. Components in the structure of leadership qualities of stu­dents of higher educational establishments have been suggested: the self-organization ability, the organizational activity ability, the interpersonal cooperation organization ability. Criteria of future educators `leadership qualities maturity have been determined: cognitive, opera­tional, personal. The emphasis is placed on the fact, that educational establishments have the opportunity to form leadership qualities with the help of the students` participation in the work of self-governing bodies. The brief description of the experimental approach of students` who are going to be future educators, leadership qualities by means of student self-govern­ance has been suggested. The educational potential of “Young Leader School” (translitera­tion “Shkola Molodoho Lidera”) in the formation of pedagogical university students` leader­ship qualities has been viewed. The staged nature of the organization of various forms of the extracurricular educational activities of students has been revealed.
Design and Implementation of SFCI: A Tool for Security Focused Continuous Integration

Software security is a component of software development that should be integrated throughout its entire development lifecycle, and not simply as an afterthought. If security vulnerabilities are caught early in development, they can be fixed before the software is released in production environments. Furthermore, finding a software vulnerability early in development will warn the programmer and lessen the likelihood of this type of programming error being repeated in other parts of the software project. Using Continuous Integration (CI) for checking for security vulnerabilities every time new code is committed to a repository can alert developers of security flaws almost immediately after they are introduced. Finally, continuous integration tests for security give software developers the option of making the test results public so that users or potential users are given assurance that the software is well tested for security flaws. While there already exists general-purpose continuous integration tools such as Jenkins-CI and GitLab-CI, our tool is primarily focused on integrating third party security testing programs and generating reports on classes of vulnerabilities found in a software project. Our tool performs all tests in a snapshot (stateless) virtual machine to be able to have reproducible tests in an environment similar to the deployment environment. This paper introduces the design and implementation of a tool for security-focused continuous integration. The test cases used demonstrate the ability of the tool to effectively uncover security vulnerabilities even in open source software products such as ImageMagick and a smart grid application, Emoncms.