Reviewerly/exHarmony huggingface dataset:
The Acquisition of Syntactical Relation Among Indonesian Children of 1.5-4 Years Old with Different Parents Background Education

Sentence in the language acquisition context is the utterances of two or more words which has syntactical relation.[1] states that it isn't until real two-word utterances begin so that we can say, syntactic (grammatical) constructions have started to form.According to [2] syntactical relation is the relation among constituent in a sentence.In line with this idea, the objective of this study was to describe the types of syntactical relations are acquired by Indonesian children.This study used some types of syntactical relation, they were Agent-Action, Agent-Object, Agent-Locative, Action-Dative, Action-Object,
Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating

Generating image and video is a hot topic in Deep Learning. Especially, generating video is a difficult but meaningful work. How to generate video which has diversity and plausibility is still a problem to be solved. In this paper, we propose a novel model of Generative Adversarial Network(GAN) which called FDGAN to generate clear contour lines. Unlike existing GAN that only use frames, our method extends to use inter-frame difference. First introduce two temporal difference methods to process the inter-frame. Then increase a frame difference discriminator to discriminate whether the inter-frame is true or not. Using the model and new structure proposed, we perform video generation experiments on several widely used benchmark datasets such as MOVING MNIST, UCF-101. Consequently, the results achieve state-of-the-art performance for clarifying contour lines. Both quantitative and qualitative evaluations were made to show the effectiveness of our methods.
An Analysis of Linguistic Errors Made by EFL’s Adult Learners in Translating English into Indonesian language

The study was aimed at describing what linguistic errors namely, grammatical, syntactical, morphological, phnological and lexical errors that English education program students made in translating Indonesian language into English. This research was a descriptive qualitative research. Research participants were 19 sixth semester students of English education at STKIP YDB who took translation subject for academic year of 2018/2019. The research instrument was translation test derived from the students’ translation midterm examination which comprised translating 15 Indonesian sentences into English. Data was analyzed through error analysis in which was proposed by Ellis (1997) involving steps such as (1) collecting samples / data, (2) identifying the errors, (3) classifying translation errors, (4) explaining the errors, and (5) evaluating / interpreting the error. &#x0D; The results of the study revealed that the main linguistic errors that the students had in translating Bahasa Indonesia into English was in lexical aspect. It was found that lexical error comprised 72,8% of total errors. For grammar and syntactical aspects, it was found that both contained 12,% of total errors made by the students. For morphological aspects, it was found that only 3,1% of total errors was made. For the linguistic problems in phonological aspects, surprisingly it was found 0% of total errors . It can be concluded language acquisition of these students in the linguistic component of English as a foreign language was inadequate in the act of translating, especially in the level of "lexicon" (vocabulary and choice of words), grammar and syntax.
Hardware-Software Codesign of Histogram of Oriented Gradients on Heterogeneous Computing Platform

Histogram of oriented gradients (HOG) is a highly important feature representation in computer vision for many applications such as objection detection. The HOG computes local histograms of oriented gradients of pixel luminance on a dense grid of uniformly spaced cells and normalized to be a feature vector. Its computational complexity is high, and its implementation on edge computing and embedded devices is challenging. This paper proposes a hardware software codesign strategy to redesign the HOG algorithm. Pipelining and hardware acceleration by FPGA are applied in the design to the performance improvement of HOG. The design is implemented on a heterogeneous computing platform and with high level synthesis techniques exploiting C-code to accelerate the design of hardware circuits. Our results of full HD images achieve 500 times speed-up compared with software implementation.
Extending Input Channel Using Global Feature Image for Convolutional Neural Networks

In the deep learning paradigm, neural networks learn geometric variations to obtain the geometric invariance. Before deep learning emerged, such invariance has been dealt with feature engineering. The success of feature engineering techniques largely depends on a combination of local and global features. Global features can be leaned by deep learning but they are usually achieved in deep layers. In this paper, we propose a new simple training strategy using global feature images as the inputs of the convolutional neural networks, in which the images are generated by image processing techniques. To demonstrate the usefulness of our approach, we set up a toy problem on the MNIST dataset and obtain the best accuracy of 99.51% with the proposed method from our experiments.
Dynamic Fuzzy Cognitive Models as a Means of Visual Analytics and Cognitive Graphics

The article discusses the concepts of visual analytics and cognitive graphics.The employment of cognitive models means and especially dynamic cognitive models is justified as a means of visualizing computational experiments in studies of the development directions of the energy sector from the standpoint of energy security problems.In addition to the above, dynamic cognitive maps are considered as an interaction interface with a model of the energy sector which will contribute to a significant acceleration of the computational experiment.The article provides an illustration example which displayed a relationship of dynamic cognitive maps and one of the energy sector mathematical models.
Dijital Dönüşüm Sürecinde Lüks Marka İletişiminde Artırılmış Gerçeklik: L’Oreal Örneği

In recent years, the reflections of changes especially in information communication technologies have been encountered in almost all fields. However, the developments in internet and the transformations in internet-based applications are also noteworthy. It is possible to say that the communication process between the brand and the target group is also included in this new media environment and it is integrated with this process in internet (web) based applications. This harmony and adaptation process in luxury brand communication can be said to be relatively slower and more cautious than other brand types. However, it can be said that luxury brands have also started to adapt to digital applications, transformations such as augmented reality (AR) or artificial intelligence (AI). From this point of view, how luxury brands are involved in internet-based applications and the process of digital transformation along with it and its description based on the related applications form the main subject of this study. In the first part of this study, how the digital transformation is experienced within the framework of luxury brand communication, to what extent they can be included and their applications related to augmented reality will be described. In the second part, this application of L'Oreal brand, which is one of the limited number of examples, which especially uses augmented reality applications, is included and carried out at https://www.lorealparisusa.co the official web page will be subject to content analysis. In this sense, the content of web pages will be analysed. The aim of this research is to define the applications of augmented reality in the digital transformation process and to evaluate and reveal the relationship between them on the basis of the concerned sample in luxury brand communication. Since the related sample is in the report entitled "Global Powers of Luxury Consumption 2018", which is one of the researches that the Deloitte research organization makes intended for luxury brands, it will be analyzed in this study. In the related literature, the specificity of this study is important because of the relatively limited number of studies included in this study.
THE PROBLEM OF TRANSLATING BIBLICAL INTERTEXTUAL ELEMENTS

The prOblem Of TranslaTIng bIblIcal InTerTexTual elemenTs
The Development Of Tracer Study System For PEP Alumni Graduate School Unnes By Online Based On The Website

The background of the study is needs of PEP study programs about alumni data and users for the necessity of the development of study programs and accreditation.The study aims to develop an effective way of tracer study, which is easy to use, easy to access information, and able to provide detailed feedback.The method of collecting data with distributed instruments in the form of open and closed questionnaires through the website that has been made.Research on tracer study alumni was conducted with online media including WhatsApp messenger, email, website and google form applications.The results of the study showed that the most complete information is collected by Google form and website.But google form has limitations because just be accessed by the admin using the email registered on the google form.The easiest system to access information, and able to provide detailed feedback, is the system who was developed online based on the website.
PELAKSANAAN PELATIHAN TES CALON PEGAWAI NEGERI SIPIL (CPNS) DENGAN SISTEM COMPUTER ASSISTED TEST (CAT) PADA LEMBAGA KURUS PELATIHAN (LKP) CORIEN CENTER

The purpose of this study was to determine how the implementation of CPNS test on Corien Center LKP in Bengkulu City with research problems which included persriapan, trained preparation’s, how the trainer demonstrated the material and the traine’s efforts so that participants could practice the material in conducting test training CPNS system (CAT) Computer Assisted Test on LKP Corien Center used research with a case study method, data collection was carried out through interviews, observation and documentation. To test the data validation the researcher used triangulation techniques. The informants in this study were four people. Based on the results of the discussion, it can be concluded that : the trainer must prepare in the implementation of the training, namely modules (whiteboard markers and erasers), in the implementation of CPNS system test training (CAT) Computer Assisted Test on the Corien Center LKP the training participants must prepare, namely learning equipment in the form (pens, nptebooks) and bring the modules peovided by the institution, in the implementation of the training the tainers demonstrate the training material that is mastering the training material and preparing the necessary media so that the deliverwd material can be distributed to trainees, then in the implementation of an effort training carried out by the trainer so that the training participants could (CAT) Computer Assisted Test on the Corien Center LKP that is by using a method and strategy that is suitable whit teaching and learning activities. Keywords : CPNS CAT Test Training LKP Corien Center
The Nexus of Macroeconomic Policy and Entrepreneurship Performance in West Africa

This study examined the effect of selected public policies on entrepreneurship activities in the anglophone and francophone divides of West Africa to determine the nexus of performance using several analytics techniques.The data used were obtained from secondary sources originating from institutional organisations in ten selected countries from the 2000 to 2018.An institutional framework for entrepreneurship indicators was adopted as a measure for entrepreneurship in the region otherwise known as TEA.Using the ARDL analysis on the cross sectional data, the empirical evidence reveals that, while monetary policy was more significant in promoting TEA in Anglophone countries, fiscal policy did better in the francophone countries.The study recommends that governments should harness, formulate and execute the best of monetary and fiscal policies in West African countries.The contribution of the private sector partnership in the drive to 'promote entrepreneurship should also be encouraged in such a way that the economies in the countries aim towards innovative and efficiency competitiveness in democratic societies.
Spectral Analysis of Rainfall Anomaly in Tanjung Priok

Rainfall is the most important weather element that played critical role in human life.Located in tropical region, Indonesia has great variability of rainfall that influenced by various factors including global, regional, and local scale phenomena.To achieve better rainfall prediction accuracy, we have to understand factors that contribute to rainfall formation process.In this study, we conducted spectral analysis of rainfall in Tanjung Priok.As the busiest port in the country, there was a demand of high precision weather forecast in Tanjung Priok region.Spectral analysis was used to recognize rainfall pattern in the location.The result showed that rainfall in Tanjung Priok followed the annual cycle, while rainfall anomalies observed six periods of 19 dasarians, 31 dasarians, 3 dasarians, 42 dasarians, 114 dasarians, and 228 dasarians.These periods were indicated as the period of ITCZ, Madden-Jullian Oscillation, dipole mode, and El Nino / La Nina.
Opinion Mining and Active Learning: a Comparison of Sampling Strategies

There are two main problems when performing Opinion Mining (OM) with data streams: the lack of labeled data and the need to update the learning model. The most used OM techniques cannot deal well with these challenges, so, an alternative is to use semi-supervised methods, such as the Active Learning, which is a method to label only selected data rather than the entire data set; however, it requires the choice of a sampling strategy to select the data to be labeled. In this paper, we evaluated eight strategies in ten data sets, in order to identify the best ones for OM with Twitter streams. According to our experiments, the Entropy strategy showed the best results, but it selects a large number of instances to be labeled, requiring further investigation.
Energy Efficiency Studies - Modelling and Analysis of Solar Tracker System

Solar energy is of key importance to meet the increasing demands of the electrical power needs of the society as solar energy is available in abundance, is free, clean and pollution free in nature. In order to obtain more power by increasing the receptance of incident rays from sun, a solar tracking mechanism has been developed. This paper presents an energy efficiency case study of a single-axis solar tracker which converts solar energy to electrical energy. The tracker is programmed in such a way that it gets tilted to follow sun’s movement accurately throughout the day. It was observed that the generated power output with tracking is higher in comparison to the fixed PV system.How to cite this article: Bhateja P, Gupta A, Sharam VS. Energy Efficiency Studies - Modelling and Analysis of Solar Tracker System. J Adv Res Alt Energ Env Eco 2019; 6(3&4): 1-6.DOI: https://doi.org/10.24321/2455.3093.201902
Temporal variation of salinity in marine water using statistical approaches

Administration and biodiversity discussion of marine conditions has turned out to be vital worry to every nation around the globe.The nearness of ports, power plants and different exercises in beach front zones will affects physical and synthetic water parameters.Six monitoring stations in the Straits of Johor in the southern part of Peninsular Malaysia are considered in the study.This study attempts to determine trends of salinity from 2004 until 2014 using time series regression model and to identify the marine parameters which are temperature, dissolved oxygen and conductivity that have significant linear relationship with the salinity of surface water using Pearson correlation.Slope of the fitted regression model, B 1 shows significant positive increasing trend on salinity throughout the year with the highest value of 0.018 at B2 and B3 stations.Pearson correlation indicates strong positive linear relationship between salinity and conductivity for each station with r between .75 to .83.There is correlation between salinity and dissolved oxygen and conductivity at station B1, B2, B3 and A3.On the other hand, only conductivity affects salinity level at A2, while temperature and conductivity affect salinity level at A1 station.The physical parameters along Straits of Johor should be continuously monitored in order to maintain the ecosystem and to ensure the activities along the straits does not affect much towards the biodiversity along the area.
A Game-based Method for User Privacy Protection in Big Data

Abstract In order to protect the user privacy in the big data environment, We propose a security method based on game theory through trust management mechanism. The main contribution of this paper include:(1)analysis service game relationship in the big data environment, (2)combine trust evaluation with decision management, and apply game theory to design a user-centric scheme to protect privacy,(3)proposing a service selection method. By using game theory to restrict the service interaction between the users and services in big data, we introduce some factors corresponding game model. we then apply the trust evaluation and decision management to describe the relationship and trust quantify in which we propose a method for service selection to implement user privacy protection. Simulation results show that the proposed method is effective and can apply the dynamic game of incomplete information relationship between user and service to make decisions on the service selection, thus providing customized privacy protection.
COMMON MISTAKES DONE BY THE STUDENTS OF 6TH SEMESTER IN USING ENGLISH IN THE PRACTICE OF RESTAURANT’S SEQUENCE OF SERVICE ORDER

English mastery plays an important role in tourism and hospitality industries in Bali. STIPAR Triatma Jaya as one of tourism colleges in Bali has to prepare the students with sufficient English skill. To improve their English skill, this research tries to find out some weaknesses in using English in the practice of restaurant’s sequence of service order. The mistakes done by the students were derived from 4 types of sentence (Murar, 2011). The results show that there are 24 types of mistake, in which, the most common ones are the use of be and article. Keywords : English mastery, types of sentence, restaurant’s sequence of service order.
Translation of Brahmi Inscriptions to Sinhala using Natural Language Processing

The recognition and translation of handwritten characters that were written without constraints is challenging.In this particular domain of interest "ancient inscriptions", character recognition and translation is more curtail due to the wide variety of endemic writing styles.Research project named "Brahmi to Sinhala Translator", is a result of an idea of coming up with a software solution to translate the ancient inscriptions written in "Mula Brahmi" language to Sinhala.According to the facts that found through the researchers, it is clear that, there is a huge gap between the Archeology and modern technology.Therefor archeologists still follow manual procedures to get their work done."Brahmi to Sinhala Translator" is based on image processing, character recognition, text mining and natural language processing [1].This project has been divided into four different functionalities.Removing the noise of the scanned image of the stain paper, recognition of letter patterns of Brahmi language, identification the corresponding Sinhala letter to the Brahmi letter and performing word and sentence break down and represent Brahmi Script in Sinhala.Since the proposed solution is a step by step approach, it will be able to provide a user friendly environment yet robust and accurate.Therefor this will be a great innovation for not only the field of archeology but also for the information technology.
Development of Android Based Try Out Application For National Exam Of Vocational Theory In Vocational School Accompanied With Learning Outcomes Recommendation

This research aims to develop the Android based for National Exam Tryout of Vocational Theory of SMK TKJ. This&lt;br /&gt;application also gives recommendation according the tryout result. This research also aims to know the feasibility of&lt;br /&gt;this application based on an assessment by media expert and student of TKJ department. this research use research&lt;br /&gt;and development method (R &amp;amp; D) which adapted from Waterfall software development model. Waterfall method&lt;br /&gt;includes 5 stages: (1) requirement definition; (2) system and software design; (3) implementation and unit testing; (4)&lt;br /&gt;integration and unit testing; (5) operation and maintenance. The assessment results from media experts amounted to&lt;br /&gt;4.37 for Android-based front-end applications and for 4.42 for web-based back-end applications, user-rating back-end&lt;br /&gt;apps got a value of 4.65, while ratings from students were 4.53. Based on the feasibility study It can be concluded that&lt;br /&gt;the Android applications can be used. This application has advantages that are: 1) the application can display the&lt;br /&gt;recommendation of exam results; 2) the application displays questions randomly; 3) app can run on old Android&lt;br /&gt;version.&lt;br /&gt;&lt;br /&gt;
Data type Modeling with DFA and NFA as a Lexical Analysis Generator

Lexical analysis helps the interactivity and visualization for active learning that can improve difficult concepts in automata. This study gives an implementation of two frequently used model, NFA for combination of Real and Integer data type and DFA for Double Data Type in Java this chosen model will be implemented using JFLAP. The model will also be tested using JFLAP that will accept at least FIVE (5) inputs and rejected FIVE (5) inputs. These two models are some of the different lexical analyzer generators that have been implemented for different purposes in finite automata.
The Relationship Between the Distinguishing Number and the Distinguishing Index with the Detection Number

The Relationship Between the Distinguishing Number and the Distinguishing Index with the Detection Number
The Development of Morphology Acquisition Among the Children of 1.5 – 3.5 Years Old

The aim of this study is deals with the development of morphology acquisition among the children of 1.5 until 3.5 years old a.The objectives of the research were to find out morphemes are acquired by the children 1.5 until 3.5 years old.This research conducted by the qualitative research and the research design of this research is cross-sectional design.The data were obtained by the observation by recorded the utterances made by children in natural context.The data collected were analyzed by interactive models by Miles and Huberman and Saldana model.The subject of the research were 8 children of 1.5 until 3.5 years old and the research take 2 children from each age.The result of the research is the free morpheme has been produced in age 1.5 years old.Meanwhile there are different ability in acquiring bound morpheme.Firstly, child in age 1.5-2.0 has different ability in acquiring bound morphemes, secondly, child in age 2.1-2.5 has been able to produced suffixes and partikel, but there is different ability in acquiring prefix.Thirdly, child in age 2.6-3.0 has different ability in acquiring prefix and suffixes.And Fourthly, child in age 3.1-3.5 has been able to produced bound morphemes.