Reviewerly/exHarmony huggingface dataset:
PERANCANGAN SIMULASI MEDIA PEMBELAJARAN DENGAN METODE DIVISION REMAINDER UNTUK PENCARIAN ALAMAT RELATIF PADA PROSES PENEMPATAN DATA

Learning media is one medium that can help students understand the subject matter. No file system in the course material on how to put the data in a table. The material is the use of hashing technique in the search for the relative address of the data. In applying the hash function to find the relative address is probable some data have the same hash function results. This causes a collision (collision) at the time of placement data. Collision (collision) can be addressed by using multiple strategies, among others, Resolution Linear (Linear Resolution), and Double Hashing Overflow. The design of this simulation was organized which begins with the concept, design, material collecting, and assembly. At the design stage is divided into four stages, namely stages of the application process flowchart design, design app menu hierarchy, the design of the main menu display and design process flow aplikasi.Aplikasi calculation aims to assist lecturers in teaching so that students can easily understand and comprehend the material on the hash function particularly the division remainder method to find the relative address.
Engineering safety- and security-related quality requirements

Czasopismo Techniczne » 2019 » Volume 1 » Engineering safety- and security-related quality requirements A A A
PROFIL HASIL BELAJAR SISWA PADA MATERI PERBANDINGAN MELALUI PENGGUNAAN MODEL QUANTUM TEACHING DI KELAS VII SMP NEGERI 6 AMBON

The aim of this study is to describe the profile of student learning outcomes in theproportion material using Quantum Teaching model. This type of research is Classroom Action Research. The research subjects were students of grade VII9 of SMP Negeri 6 Ambon. This research data is in the form of learning outcomes tests (quantitative data) and observation sheets of teacher and student activities (qualitative data). Quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed by reducing data, describing data, and concluding data. This study produced a profile of student learning outcomes, namely in the first cycle, there were 7 students (24.13%) completed and 22 students (75.87%) were not completed while in the second cycle, there were 23 students (79.31%) completed and 6 students (20.68%) have not completed
Brevi riflessioni sull’uso della letteratura nella didattica della lingua araba

This paper aims at investigating the role of Arabic Literature in Teaching Arabic as a Foreign Language, from the first manuals and grammars to the new tools, from the grammar-translation method to the digital storytelling approach. The situation of Arabic language teaching in Italy is compared to the methods used in the rest of Europe, notably in France where there is a long tradition in teaching Arabic. The debate also focuses on which literary texts, which literary periods (Classical or Contemporary Arabic Literature), which genres, and which authors are best suited to improving the linguistic skills of the learners. Finally, the paper deals with the question of diglossia and dialects in Arabic teaching as L2.
EVALUASI DAN PERUMUSAN REKOMENDASI SENAYAN LIBRARY MANAGEMENT SYSTEMS PERPUSTAKAAN MENGGUNAKAN FRAMEWORK COBIT4.1

Senayan Library Management Systems (SLiMS) is a licensed open source library management system software under the GPL v3. Evaluation of the system process needs to be done especially on the data storage and data processing since both are important in managing data in the library of STIE AUB of Surakarta. The purpose of this study is to determine the maturity level of Senayan Library Management Systems (SLiMS) and provide system recommendation using the domain of Delivery and Support 1 (DS1) and Delivery Support 11 (DS11) with COBIT Framework 4.1. The methods used were observation, interview, literature study and questionnaire. The questionnaires were given directly to the respondents related to the system users, and the performance of the system was carried out by using maturity levels to produce recommendations at the library of STIE AUB Surakarta.
An Investigation Of Individual And Organizational Factors On Intention To Fraud

After the occurrence of various factors that bring about fraud and increasing fraud in organizations, institutions try to find a solution to the problem. The main objective of our study is to analyse the individual and organizational factors which lead to detrimental behaviours particularly fraud and to examine the relations between intention to fraud and job engagement. In this frame, the relationship between individual and organizational factors and the intention to fraud is discussed and the connection between intention to fraud and job engagement has been examined in the light of collected data. In addition, the mediator role of intention to fraud between individual and organizational factors and job engagement has been examined. The main objective of the study is to make a contribution to organizational behaviour literature concerning fraud. In this context, in several cities, data is collected a sample of employees from various sectors through survey method. The collected data were analysed. The results show that there is positive relationship between individual and organizational factors and intention to fraud, and positive relationship between intention to fraud and job engagement. Finally, the mediator role of intention to fraud between individual and organizational factors and job engagement is revealed.
Implications of inflationary trends on collection development at the University of Ilorin Library, 1976-1985, 2010-2014

This case study discussed inflation and its implication for collection development at the University of Ilorin Library in particular and academic Libraries in Nigeria.Documentary Research Method and Structured Oral Interview techniques were used to examine the records of budgetary allocations and expenditure in the acquisition of books and journals at the University of Ilorin Library between 2010 and 2014.The study identified some problems facing collection development at the university of Ilorin library as a result of inflationary trends.The study therefore posited that inflation-driven library collection development poses great danger to the quality of information resources of the library, the quality of information retrieval by library users, the quality of research and community service mantra of the university.It there recommended that collection development librarian should ensure balanced acquisition with the available funds.Rising number of academic programmes should be controlled in view of the fact that paucity of funds would not be able to go round the myriads of academic programmes satisfactorily.The Federal Government of Nigeria should checkmate inflationary phenomenon on library books and periodicals while textbook writers and publishers should focus more on producing local books/periodicals so that libraries and library clientele would be discouraged from patronizing the more expensive foreign publications.
A Survey on Micro Video Recommendation System for Content Writer

With the development of the Internet and social networking service, the micro-video is becoming more popular, especially for youngsters. However, for many users, they spend a lot of time to get their favorite micro-videos from amounts videos on the Internet; for the micro-video producers, they do not know what kinds of viewers like their products. Recommendation systems play an important role in helping Micro Video system. Micro-videos afford many potential opportunities ranging from network content caching to online advertising. Micro-videos are created by individuals and contain some unique characteristics, including egocentric and self-facing views. Micro Video Recommendation System for Content writer.
Preceding Vehicle Detection Method Based on Visual Fusion

When the general preceding vehicle detection is carried for monocular vision, the accuracy of the detection is affected by the dynamic background, illumination and occlusion. This paper proposed a preceding vehicle detection method fusing monocular and binocular vision method. Firstly, the potential area of the preceding vehicle was established by using SSD (Single Shot Multibox Detection) algorithm, then, the binocular vision-based vehicle detection method for the potential area was used, its U-V disparity was calculated, and the accurate preceding vehicle position by the vehicle depth information in the image was obtained; finally, the missed detection and false detections in the monocular vision detector were removed with the U-V disparity detections obtained by binocular vision detector. And the final results combined with the type and position information were outputted. Thereby the accuracy of the preceding vehicle detection was improved. The test result showed that on the condition of KITTI date set the visual fusion method can effectively improve the accuracy of vehicle detection. And compared with SSD algorithm in monocular, the Detection Rate was increased by 1.46%, the Recall Rate was increased by 2.83%, the Missed Rate was reduced by 2.83% and the False Rate was reduced by 1.10% than the monocular SSD algorithm.
Algebraic Model to Formalize the Sentences and Their Context for Texts Written in the Spanish Language

This paper introduces a model based on set theory and modern algebra that formalizes sentences and their context. The model aims at dividing sentences into cores which will be mapped into sets of an algebraic space; some of these cores have a type of context called strictly linguistic context. These sets along with an operation form Abelian groups. In addition, the model defines a function that can completely (or partially) restore the original sentence from such sets while guaranteeing its structure and meaning. This could be accomplished through queries that compare contexts and activate the task of restoring sentences. The use case scenario has been limited to the Spanish language. All these processes can be applied in many scenarios, but our focus lies in the dynamic creation of small theories.
ЗНАЧАЈ РАЗВИЈАЊА ЛЕКСИЧКЕ КОМПЕТЕНЦИЈЕ НА СТРАНОМ ЈЕЗИКУ И УТИЦАЈ МАТЕРЊЕГ ЈЕЗИКА КОД МЛАЂИХ УЧЕНИКА

The purpose of this paper is to point out the importance of learning several foreign languages at an early age, creating a solid basis for lexical competence which would in the next phase develop into linguistic, and finally into communicative competence. We will point out the theoretical basis of learning a lexicon of a foreign language, but also in what manner the mother tongue may influence this process and how. The results presented in the paper are a product of a two-year empirical research – a case study. The set goal has conditioned two hypotheses that we have confirmed, and which relate to achievements in lexical competence in a foreign language and a transfer that the mother tongue can cause. Analyzing the results, we concluded that an early exposure to foreign languages simultaneously enriches the lexical fund of both the mother tongue and all other languages known to the learner, in our case, the Italian language. In addition, learning foreign languages early, by developing lexical competence in the first place, leads to an improvement of cognitive characteristics of younger learners, the development of divergent thinking, acculturation and openness to new knowledge.
FOTODIM—Software for Sizing of Photovoltaic Systems

This study addresses the development of a computational tool for the sizing of photovoltaic systems interconnected to the grid (grid-tied) and isolated (off-grid) systems. The calculations for the sizing were obtained from the CRESESB Engineering Manual for Photovoltaic Systems, the GREENPO Photovoltaic Systems Technology, Design and Installation Manual, and the BLUESOL Solar System Introduction Digital Book. With knowledge of the latitude, longitude and altitude data of the site, the tool calculates the angle of the modules for better absorption of the photovoltaic radiation. For systems connected to the grid, it is also necessary to provide information on the consumption of the building to be serviced by the photovoltaic system. For isolated systems, in addition to information on the site, it is necessary to know the demand and consumption of the building. Decision-making criteria are based on economic analysis, according to indexes such as Net Present Value (NPV), Internal Rate of Return (IRR), and Discounted Payback. The screens developed for the sizing tool and examples of sizing of both photovoltaic systems are presented as results, through tables and graphs. The developed software is reliable, and all calculations have theoretical basis.
A data-oriented approach for outlier detection

In this paper, characteristics of data obtained from the sensors (used in OpenSense project) are identified in order to build a data-oriented approach. This approach consists of application of Class Outliers: Distance Based (CODB) and Hoeffding tree algorithms. Subsequently, machine learning models were built to detect outliers in a sensor data stream. The approach presented in this paper may be used for developing methodologies for data-oriented outlier detection
Information security and steganography technique for data embedding using fuzzy inference system

Steganography is one among the suggestions that can be used to store the secured information in images.Several techniques which follow serial embedding techniques take longer to embed the information.The goal of this paper is to hide the secret image with different resolutions in a carrier image with more accurately aid in less execution time.To realize this goal, the combination of texture and Fuzzy Inference System (FIS) is employed.In the FIS, the fuzzifier converts the crisp input to fuzzy values through membership functions.Texture features are extracted using the Grey Level Co-occurrence Matrix features.Three Membership Functions such as texture features, Edge sensitivity and the Brightness sensitivity are generated and given as input towards the fuzzy system.The Mamdani FIS algorithm is used for embedding the image.All the pixels which are present in the image square is embedded in parallel rather than one by one operations since, it reduces the overall embedding time.By this proposed system, the embedding time is reduced when compared to different existing algorithms.By using this Mamdani based FIS, the peak signal to noise magnitude relation obtained is more for all the pixels present in the image is used for testing.
Application of Gradient Boosting Algorithm In Statistical Modelling

Gradient Boosting (GB) is a machine learning technique for regression, which produces more accurate prediction models in form of ensemble weak prediction models. It is an iterative algorithm that combines simple parameterized functions with weak performance (high prediction error) in order to produce a highly accurate prediction by minimizing the errors [1]. Therefore, this paper investigates the application of gradient boosting algorithm in Generalised Linear Model (GLM) and Generalised Additive Models (GAM) to produce better prediction using Munich rental data. More interestingly, to compare the performance of classical GLM and GAM and their corresponding boosted packages in prediction. However, in boosting algorithm, optimum-boosting iterations are highly recommended to avoid over fitting. It plays an important role when the fitting model, we, therefore, employ the use of the Akaike Information Criterion (AIC) based technique to determine the appropriate boosting iteration that gives the optimum prediction. We applied the AIC and Cross-validation (CV) techniques to determine the optimum boosting iterations. The results obtained are then compared to investigate the algorithm that is more accurate. It is noticed that by default, the gamboost (boosted GAM) fits models using smooth baselearners (bbs). Similarly, it also noted that the coefficients of the fitted model will be in matrix form if smooth base-learners are used while they are just linear if linear base-learners are used.
AN EXPLORATORY STUDY ON INTERFERENCE ERRORS FROM MALAY LANGUAGE TRASNFER TO MANDARIN LEXICON LEARNING

Language transfer is one of the main factors affecting foreign language learner from learning a target language well. In Malaysia, the number of non-Chinese students learning Mandarin is increasing. However, differences in their language and cultures could impose more difficulties to the non-Chinese students when learning the language. The present study explored the interference errors from Malay language to Mandarin learning of non-Chinese students in terms of lexicon. To this end, learner corpus containing collection of the students’ compositions, dialogues and examination scripts was compiled and analyzed in the study. Four types of lexicon interference errors were focused on, namely (1) improper usage of words (2) word orders error (3) improper usage of collocation and (4) improper usage of culture images. The findings reveal the highest interference error occurs in improper usages of words followed by word order errors, improper usages of collocation and improper usages of culture images. The finding calls for a more effective teaching to be incorporated to raise the students’ awareness on the negative transfer of their native language into Mandarin lexicon learning.Article DOI: https://dx.doi.org/10.20319/pijss.2019.43.16751688 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
SITE SELECTION FOR CONSTRUCTING SOLAR AND WIND PLANTS USING METEOROLOGICAL PARAMETERS IN IRAN

Due to the increasing environmental pollutions and reducing fossil energy sources, using new energy in the world is of utmost importance including the solar and wind energy that used in the world. In this context and to identify areas with high potential for solar and wind plants in Semnan province, the average relative humidity data, the number of days with thunderstorms, number of days with dust, the number of cloudy days, horizontal visibility below 2,000 meters, sunshine hours and average wind speed in a 20-year period for five synoptic stations in the province was used. After the analysis made on the province's meteorological parameters, point data was changed into the zone by Arc GIS software. To achieve this goal first of multiple regression methods were used and the correlation between latitude and altitude parameters obtained. Results showed that in most cases, the correlation coefficient was more than 0.9 and determination coefficient was more than 0.8 in most cases. Studies showed that lowland areas of the province have enormous potential and highlands has less potential for constructing solar and wind power plants.&#x0D;
Efficient Trust Management Technique Using Neural Network in Cloud Computing

Cloud computing turned into a standout amongst the most imperative stage for the cloud suppliers so as to introduce the cloud suppliers in a virtual way through the internet. Cloud customers throughout the world exchange their information with a high scope of computing resources, optional level of information stockpiling with high bandwidth. Subsequently, the progressing interest for the versatile resources is widely expanding between the cloud clients. Along these lines, single cloud server couldn't able to distinguish and unite with a high scope of ability to the application among runtime. Subsequently, the specialists are in need to fabricate virtual environment for interfacing the numerous cloud servers accordingly leads the researchers to the collaborative Cloud computing (CCC). This paper uses an effective resource sharing platform called Harmony and also uses the Neural Networks (NN) for suitable resource selection.Further, the trust management is implemented and optimal time period for resource selection is enhanced.
PENINGKATKAN KEMAMPUAN BELAJAR MATEMATIKA SISWA MELALUI PENGGUNAAN MODELTHINK PAIR SHARE (TPS)

&lt;p&gt;&lt;em&gt;This research is aimedÂ to improve mathematics students learning &lt;/em&gt;&lt;em&gt;ability &lt;/em&gt;&lt;em&gt;in elementary school, especially &lt;/em&gt;&lt;em&gt;on fraction&lt;/em&gt;&lt;em&gt; materials through throughthe implementation of cooperative learning on &lt;/em&gt;&lt;em&gt;think pair share&lt;/em&gt;&lt;em&gt;. This research was a classroom action research refferedto Kemmis and Mc Taggartâ€™s design, which includes planning, acting, observing, and reflecting. &lt;/em&gt;&lt;em&gt;The research subject were all the student of sixthgrade Â in SDN &lt;/em&gt;&lt;em&gt;2 Tropodo Waru Sidoarjo&lt;/em&gt;&lt;em&gt; inÂ theÂ the period of 2015/2016. Before the implementation of the action, the &lt;/em&gt;&lt;em&gt;ability of learn to mathematics very low and the student less enthusiastic for mathematics class. &lt;/em&gt;&lt;em&gt;After the action is applied&lt;/em&gt;&lt;em&gt;, the results of the test and ability learn to mathematics onÂ cycle I and cycle II, there is a significant increase.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Â &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;: &lt;/em&gt;&lt;em&gt;mathematics learning ability, TPS&lt;/em&gt;&lt;/p&gt;
Factors influencing regression testing on cloud and on-premises: an analysis

Since the evolution of software, it has laid its impact in all domains of operations. Therefore, one of most important criteria for software industries to survive is development of high-quality software, which can completely satisfy customers. To achieve this goal, it becomes mandatory for the software organisations to adopt themselves to the market dynamics. The objective of this paper is to analyse the effectiveness and efficiency of testing applications in cloud. This paper puts forth a case study through a comprehensive analysis conducted on sampled data from healthcare and telecom domain. Investigation indicates that testing applications in cloud model is good practice against conventional mode of software testing. The results also depict that testing applications in cloud environment improves performance of various parameters of testing process. Furthermore, this inference paves way to carry out further research to formulate effective strategies to test applications in cloud.
USING EMOJIS IN IMPROVING NARRATIVE WRITING.

Writing lessons are often perceived as boring and difficult for the young learners.The pupils found words were difficult to be comprehended easily.Previous studies showed that young learners understand better through the use of visual aids.The wide usage of pictographs of faces, objects and symbols known as emojis in electronic messages has seemed to gain attention.Instead of using emojis to express emotions and ideas, this innovation attempted to improvise its use for writing lessons.Therefore, this action research aimed to explore the effectiveness of using emojis in improving narrative writing among Year 4 pupils.The samples consisted of 35 pupils with low level of English language proficiency selected from three primary schools located in Bekenu, Sarawak; Tenom and Sandakan, Sabah in Malaysia.Data was collected and triangulated both qualitatively and quantitatively using pre-test and post-test, questionnaire and interviews.Then, the interview and questionnaires were tabulated while the pre and post-tests results were analyzed using inferential statistics.It was found in the results that the pupils enjoyed the writing lessons and able to write better sentences.In conclusion, the intervention of using emojis in a modular approach found to be effective in improving narrative writing for low English language proficiency to certain extent.Copy Right, IJAR,