Reviewerly/exHarmony huggingface dataset:
TEACHER PERCEPTIONS FOR USING COMPUTER AND MEDIA LEARNING (IKT) IN MACEDONIAN LANGUAGE TEACHING CLASS IN PRIMARY EDUCATION

The recent reform of education in the Republic of Macedonia has brought innovation in the use of technology in the teaching process as well as in the use of computers as a tool, but also as a method and a way to learn. Also, projects and curricula for computer learning have been developed in both primary and secondary schools.In this context, this theoretically-empirical research combines the reality of the use of ICT tools in Macedonian language classes in elementary schools with segments defined in Macedonian language curriculum. With the empirical, descriptive and conclusive results gained in this research, where 88 Macedonian language teachers in the primary schools of Skopje, Gostivar and Stip were surveyed, a statistical difference (sig = 0.028) was observed in teacher attitudes per city in terms of level and the impact of ICT tools on the productivity of students in Macedonian language classes as well as the statistical difference (sig = 0.043) in teachers' attitudes by their age. In the end, the hierarchy of IKT tools was determined according to their level of use and the hierarchy of skills developed by the use of ICT tools in Macedonian language classes in elementary schools.
외국인 유학생의 학습동기, 한국어숙달도, 학업성취도 간의 관계 연구

The purpose of this study was to suggest a plan for systematic support to foreign students for their successful life of studying abroad by doing an empirical analysis of the relationship among their learning motivation, Korean proficiency, and academic achievement To this end, this study conducted a survey targeting the foreign students residing in four districts from Oct. 10 to Nov. 15, 2018, and implemented a multiple regression analysis using 489 copies of questionnaires out of 500 copies in total as analysis data. As a result of this study, first, learning motivation was found to have a partially positive (+), and negative(-) influence on Korean proficiency; second, learning motivation was found to have a partially positive(+), and negative(-) influence on academic achievement, and third, Korean proficiency was found to have a partially positive (+) influence on academic achievement.
Suggestopedia Method as an Effective Method in Teaching Reading Comprehension for Senior High School

This research is to know is there is significant effect in reading comprehension achievement in X grade at SMK Walisongo 1 Gempol, being taught by suggestopedia method. This research uses quantitative research. The research’s object is X AK-2 of SMK Walisongo 1 Gempol has 28 students. The researcher divides the main activity into pre-test, treatment and post-test. Based on the SPSS 23 Program calculation from mean result of pre-test 70.1 and the result mean of post-test is 83.5. The students’ score is increasing after being given by the treatment. The result of the calculation of this research showed that (sig 2-tailed = 0.002) which is less from (<) 0.05 and significance 5%. It mean that the alternative hypothesis is accepted and the null hypothesis is rejected. From the result of the data analysis above, the use suggestopedia method gives significant effect in students’ reading comprehension achievement This article investigates major points of the speech verbs. On this case, different meaning of verbs was analyzed from Russian into English.  Therefore, analyses of the theory with methodology were described to make better diffusion. To conclude with both outcomes and shortcomings were outlined to get further analyses as the whole.
[SPONSORED] How the DentiMax Sensor Works with the Software You Already Own

Many dentists and office managers ask if the Dream Sensor will work with their practice management software.
Teaching Vocabulary Using Total Physical Response (T P R) Method To Kindegarten (A Case Study At Play School Of Bina Sukses Insani)

This study aims to find out and analyze the materials used in teaching vocabulary using Total Physical Response (TPR) method at TK Bina Sukses Insani. To describe the activities conducted in Teaching Vocabulary using Total Physical Response (TPR) method for meeting were done. Qualitative approach is used to analyze the data through observation, interview and question. The theory used in this study is the theory of Jeremy Harmer (Longman, 1991). The materials done of teaching vocabulary. The activities done to the students with songs followed by some gesture and movement. The result of the students’ scores was satisfying from average of very good. Therefore, it is suggested to were Total Physical Response (TPR) method in Teaching Vocabulary for the next writers.Keywords : Teaching Vocabulary, TPR, Song and Movement
A Survey of Motion Detection in Image Sequences

Detection of motion is an essential and important step in many applications such as in the use of video surveliance in security systems, anomaly detection, traffic monitoring, people tracking. Detection of the moving object is a growing research area because of its extensive applications in real life. This paper emphasizes on survey of different algorithms for detection of motion. The most commonly used strategy of subtraction of background is described in detail. A survey of different techniques of motion detection is presented in this paper. The novel method of detection of motion for the pedestrian (indoor) without the need of finger printing of location proposed by Zohuis explained in detail. The advantages of schemes presented are also mentioned. The novel technique of detecting both global and local motion which is coherent, proposed by Yunpeng Wu is described in detail with its advantages and comparison with the previous related works. The applications of detection of motion are presented in this paper. A detailed description of widely used datasets along with the examples of frames of the datasets is given in this paper.
A Hybrid Reversible Image Data Hiding Scheme With Symmetric Key Cryptography

This paper proposes a hybrid reversible image data hiding technique (RIDH), which is used to reconstruct an original image upon the extraction of the embedded data. Encryption and data hiding are two effective means of data protection. Encryption converts an original image into unreadable ciphertext and data hiding is used to embed additional data into image. Previous methods used secrete data hiding key for data hiding, now this paper proposes both encryption and decryption with rivest cipher 4 (RC4) and data hiding with advanced encryption standard (AES) without secrete data hiding key. Support vector machines (SVM) classifier is used to separate encrypted and non-encrypted blocks to reconstruct original image from embedded image by using feature calculation of each and every block. Evantually a trail results are given to approve the predominant execution of our method.
Prediction of Psychosis using Linguistic Marker

New era of Machine Learning Offers rapid and precise approach in extraction of signs in medical field of Mental Disorder.We demonstrate how the Linguistic characteristic of sematic density will be obtained using the mathematical method of vector unpacking.The conversion to psychosis is signalled by low sematic density and talk about speech.The result give scope to project in which it is analyses automated of every language can used to classify a different range of mental disorder well in early stage.I.
Intellectual Technology of Analysis and Price Forecasting of Used Cars

For the profitable sale of a used car, people should not only be guided by their own or third-party experts' evaluation, but also use all other suitable resources. Such resources can serve as price prediction systems that, using the common features of a car (such as a car manufacturer, car model, mileage, fuel type, body type, etc.), are able to predict the possible price of a car. Such systems can help in decision-making not only to ordinary car dealers, but also to agencies involved in the ordering and bulk transportation of used cars from abroad. To select the key features and identify the optimal structure and parameters of the models, relevant datasets should be selected, the intelligence analysis and selection of features will be conducted, after which building of a number of machine learning models has begun, from which the optimal model was chosen by certain criteria. In order to build an information system and test the functionality of the proposed intellectual technology, two comparable datasets for used cars of the USA and Ukraine were selected. Python methods and libraries have been systematized for intelligence analysis and general recommendations for their application for the task have been formulated. The general principles of intellectual technology, which is tested on the selected datasets, are offered. In particular, a exploratory data analysis of US data was conducted and a rule for filtering anomalous, and possibly erroneous, data was substantiated. Many possible models were selected, their training was carried out and the optimal one was selected according to the R-squared criterion. The cost of the car has been predicted to an accuracy of 86.1%. A similar problem is solved for data on Ukraine. An accuracy of 85.6% was achieved. This has proven the workability of the proposed technology and has yielded useful results in practice.
The Effects of Turnover on Expert Effort Estimation

Turnover of the personnel represents a serious issue for management of software projects. The buildup of competences and phasing in of the people into the project requires both time and effort. This paper presents a case study of a large in-house agile software development project. The research goal was to determine the effects that turnover has on the expert effort estimation. In order to do this, paper examines relations across empirical data on a studied project. Study findings are the following: a) it is necessary to distinguish types of turnover, b) the general and planned turnover do not necessarily have a negative effect on estimation accuracy, and c) the unplanned turnover can have a significant negative impact on the reliability of the estimates and therefore should be treated with special attention. Results suggest that these facts should be taken into account both by the management and human resources.
Saudi accented Arabic voice bank

In this paper, we aim at comparing some deviations from standard writing present in Portuguese and English informal chats in order to reflect on the linguistic knowledge that lies beneath these innovative spellings: phonetic, phonological or orthographic.
Praktik Sosial Goenawan Mohamad di Arena Sastra Indonesia pada Tahun 1990-an: Kajian Sosiologi Anthony Giddens

The purpose of this study is to find out how GM's social practices as agents in the Indonesian literary arena in the 1990s, and the structural responses to these social practices. This research is qualitative. The material object is GM's social practice in the Indonesian literary arena in the 1990s, while the formal object is the arena structure's response to the action. Data analysis was performed by chronological mapping accompanied by decomposition that referred to Anthony Giddens's sociological theories. Based on research that has been done, the results show that GM runs social practices by occupying several arena structures, including Horison, AJ and DKJ, Tempo through Caping, and KUK. The structural response to these actions was manifested in several conflicts, contradictions and acceptances that helped to bolster the existence of GM's literacy in the Indonesian literary arena from the beginning to the 1990s.
Perception and use of mobile phone technology for academic activities among social science education students in Niger Delta University, Bayelsa State

This study focused on perception and use of mobile phone technology for academic activities among students in the Department of Social Science Education in Niger Delta University, Bayelsa State. Nigeria. Two research questions were formulated. The study adopted the survey research approach. The population for the study consists of 110(one hundred and ten) students, a selfdesigned questionnaire consisting of 3 (three) sections with a reliability index of 0.85 using Cronbach Alpha. The data collected were analysed using descriptive statistics, mean and standard deviation, while the hypotheses were tested using t-test. The confidence level was 0.05 level of significance. Among the findings shows that the use of mobile phones has made students to stay in the comfort of their houses and discuss academic maters with their fellow students, quick learning communication and feedback take place while some use it to cheat during examination, use it during class hours and this pose as a distraction to others. Among the recommendation was that there is need to formulate policies that will guide students on negative use of mobile phones usage in restricted areas.Keywords: Perception, Use, Mobile, Phone, Technology, Academic, Students, University
Enhancing Siamese Network by Color Histogram Based Bayes Classifier for Distractor-aware Object Tracking

Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. By comparing the target patch with the candidate windows in a search region, we can track the object to the location where the highest similarity score is obtained. However, in Siamese Network, pairs of training data come from different frames of the same video, and for each search area, the non-semantic background occupies the majority, while semantic entities and distractor occupy less. This imbalanced distribution makes the training model hard to learn instance-level representation, but tending to learn the differences between foreground and background. For the targets those with large differences in the background also achieve high scores, and even some extraneous objects get high scores. To overcome this limitation, we enhance Siamese Network by color histogram based Bayes classifier. This method allows us to identify potentially distracting regions in advance. The risk of drifting is significantly reduced. Experiment results show that our tracker achieves state-of-the-art performance.
SISTEM INFORMASI PENERIMA BANTUAN BIBIT IKAN PADA BALAI BENIH IKAN (BBI) KECAMATAN RANTAU KOPAR

AbstractFish Seed Center is a means of government in distributing fish seeds to the public free of charge which in processing data fish recipients still use conventional systems by recording the ledger, where the books are easily damaged so that the processing of data is still not effective and efficient. This makes it difficult to get accurate information and data if needed at any time. Answering these problems, the Data Processing Information System designed for Fish Seed Aid Recipients at the Fish Seed Center (BBI) of Rantau Kopar District uses the Visual Basic.Net Programming Language and Mysql Database to facilitate employee parts in processing data and making reports. So that it can provide accurate and accurate information in the data search process. Applications are made including data on fish seed recipients, fish seed data, and data requirements fulfilled by fish seed aid recipients and reports relating to the object of research. The results of system testing obtained include reducing the risk of data duplication and data loss.Keywords : Recipient, Help, Fish Seeds, Visual Basic.Net, MySQL.
Image Restoration Based on Improved Patch Clustering in Gaussian Mixture Models

In this paper, the restoration of degraded image is studied. Firstly, the unreliable pixel estimation is used to preprocess the noise image to eliminate the unreliable abnormal pixels in the noise image. Secondly, the prior model is used to model the multi-variable Gauss mixture model, and the GMM image restoration method is improved in the clustering step. The distance similarity measurement between patches and the same patch pixel is considered in the clustering. Using kernelized L2-norm not only considers the difference of pixels between image blocks, but also the difference between central pixels and other pixels in the same image block, which can effectively protect image details. Based on the above improvements, a restoration method based on the similarity between each patch and the estimated Gaussian cluster is proposed, which produces a better restoration effect. The experimental results verify the effectiveness of the model proposed in this paper.
A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Multi Dimensional Data

Bosom disease is an exceptionally forceful kind of malignant growth with low middle endurance. Precise anticipation forecast of bosom malignant growth can save a critical number of patients from getting superfluous adjuvant fundamental treatment and its related costly medicinal expenses. In our current framework chose quality articulation information to make a prescient model.  The rise of profound learning strategies and multi-dimensional information offers open doors for progressively far reaching investigation of the sub-atomic qualities of bosom malignant growth and consequently can improve conclusion, treatment and anticipation. In this examination, we propose a Multimodal Deep Neural Network by incorporating Multi-dimensional Data (MDNNMD) for the visualization expectation of bosom malignant growth. The oddity of the technique lies in the structure of our strategy's design and the combination of multi-dimensional information. The complete exhibition assessment results show that the proposed strategy accomplish preferred execution over the expectation strategies with single-dimensional information and other existing methodologies.
PERANCANGAN PROGRAM PENERIMAAN PESERTA DIDIK BARU BERBASIS WEB PADA SMK CAKRAWALA BOJONGGEDE BOGOR

New Student Admission Data Management (PPDB) Cakrawala Bojonggede Vocational School Bogor is currently still using a manual system in which prospective students are required to come directly to school and meet face to face with employees to register new students. The use of a manual system that has been implemented has not been effective for the PPDB committee, especially for parents who are busy and want to enroll their children in vocational level schools such as the Cakrawala Bojonggede Vocational School in Bogor. Student acceptance website not only acts as a media of information but also to expand the area of educational development in order to reach registrants who are in the distance to get information about this school and visitors will get information on school activities without having to come directly to the school so that it makes it easier for prospective registrants or committees. The new online student acceptance website is created with the waterfall development method, and uses the PHP Codeigniter Programming Language and MySQL, so that the site display becomes more interactive, and makes it easy for servers to process data and new information quickly on the acceptance of new students.
An innovative travelling planner assistant using KNN algorithm

Tourism is an significant economic engine. According to the World Tourism Organization (UNWTO), the international tourism has grown steadily over the last sixty years; where it constitutes one of the leading sectors with the fastest growing in the world.Tourism has become one of the main items of international trade. Today, international tourism is become the fourth largest source of export revenue after the oil industry, chemical and automotive. To increase the source of income in this tourism industry we to need to develop the proper  system to travel planning system. In todays travel planning system  The most common problem a tourist faces is of budget. While traveling they  are not sure how much money they  have to take with them, as having more cash then required or heavy amount of cash is difficult to handle. They  are afraid of theft or loss of money. And another common problem while travelling to some place is where to stay or how to communicate at that local place and where to eat. This business plan includes development of business model, mobile application with proposed feature, and also its financial sustainability plan.so there is need to develop the system which provide a solution to this in only one domain .With all the information instantly available, people can look up for exactly what they want without having surfing, browsing web application or going around in circle. As per business perspective, all the operations-information, booking, invoicing, billing, and every other things  is automated leading by only one system .There is no need to  search or  to  book for different  website and make a plan for the trip.How to cite this article:Gayatri B, Pawar N, Priyanka A, Shinde V et al.An Innovative Travelling Planner Assistant usingKNN Algorithm. J Adv Res Info Tech Sys Mgmt2019; 3(2): 1-3.
A Meals Ordering System by Using Augmented Reality Technology

This paper describes an ordering system using augmented reality technology. The augmented reality ordering system (AROS) is dividing into two parts: ordering system and meal picking system. The ordering system uses the smart device to display the food picture on the menu by using augmented reality technology. The picking system let consumer use a smart device to take out food from dining cabinet by scan marker. It will reduce the mistake in ordering meal for foreigners, children or seniors who do not understand the country's language.
Survival study on privacy preservation-based security techniques for load balancing in cloud computing

In the field of information system, cloud computing is an emerging technology. Cloud computing employed with a network of remote server hosted on cloud to perform services on cloud data than the local server (Shen et al., 2017). Cloud act as a service provider to cloud user by ensuring many resources among the internet. Data security is the significant task (Jiang et al., 2015) to provide privacy on stored data for avoiding unauthorised access. Privacy preservation plays an essential role in providing security (Gholami and Laure, 2015) to the data access on cloud environment. In addition, balancing of load carry outs in cloud server to avoids the unauthorised access (Zhou et al., 2016). However, privacy and load balancing are the main concern to address the security issues on a cloud server. Therefore, our research work is focused on providing cloud security with load balancing in a cloud server.
Dialogamos sobre el fenómeno del niño

This sufficiency work was developed for fourth grade boys and girls of primary school, in Trujillo, 2019; which topic is Dialogue about the child phenomenon of the , it has taken into account situations of daily life where students talk about the child phenomenon and its consequences for society.For the planning of the learning session, each of the pedagogical and didactic processes that are used in the communication area has been taken into account in order to manage the acquisition of meaningful learning for girls and boys.Each of the different strategies used and material designed, was intended to encourage the active participation of each boy and girl.With the design of this session, it seeks to enliven the interest of each child throughout the development of the same to get meaningful learning all related to the area of communication, because communication is the tool par excellence that enables integral development of a human being.
Data Flow Execution Models — A Third Opinion

In this talk, we offer a third opinion on data flow execution models that is influenced by the major disruptions in computing that are emerging with the coming end of Moore's Law.