Reviewerly/exHarmony huggingface dataset:
Mid Point Weighted Median Filter for Noise Removal and Smoothening of Images

In this paper, a Weighted Median Filter (WMF) mainly Mid-Point WMF (MP WMF) is used to smoothen the images or to remove the impulsive noise present in the input images. It is an improvised version of the median filter. This weighted filter uses the basic concept of the median filter with the enhancement in their mask from normalized mask to the weighted mask. In this weighted median filter, the weight-age is giving to the mid-point pixel i.e. centre pixels or its neighbouring pixels by increasing the repetition of those pixels so that the weight of those mid-point pixel and neighbour pixels get increased. It is shown that the weighted median filter performs more accurately than the normal median filter. Some relationship between MP WMF and other two Four Neighbouring (N4) and Diagonal Neighbouring (ND) Weighted Median Filter are derived. Experimental work has demonstrated that the MP WMF outperform very well than the standard median filters in terms of their noise reduction and in smoothening the image. The proposed MP WMF also provides very good robustness for impulsive noise.
Evaluating the English-Turkish parallel treebank for machine translation

This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn Treebank corpus. English sentences vary in length: 15 to 50 tokens including punctuation. We constrained the translation of trees by (i) reordering of leaf nodes based on suffixation rules in Turkish, and (ii) gloss replacement. We aim to mimic human annotator?s behavior in real translation task. In order to fill the morphological and syntactic gap between languages, we do morphological annotation and disambiguation. We also apply our heuristics by creating Nokia English-Turkish Treebank (NTB) to address technical document translation tasks. NTB also includes 8.3K sentences in varying lengths. We validate the corpus both extrinsically and intrinsically, and report our evaluation results regarding perplexity analysis and translation task results. Results prove that our heuristics yield promising results in terms of perplexity and are suitable for translation tasks in terms of BLEU scores.
Reversible Data Hiding in Digital Image

The growth of multimedia technologies and the attractiveness of internet are dramatically increasing. All kinds of multimedia information like audio, video and images can be obtained freely and copied even edited then transmitted as one wishes. At the same time, this makes the integrity, reliability, and security of data transmitted under threat. The information security has always been a major concern. As one of the ways to solve the security problem is data hiding technology that embeds the secret data imperceptibly into the cover media by slightly modifying some of the cover elements. This paper discusses the basic principle s of reversible data hiding (RDH) as a method of covert communication in order to understand how information is embedded in the graphical representation and covers the in-depth discussion on image compression.
VDRUG (SUDDENLY)...

This text is an attempt of interpreting one of the most frequently used words, namely the word – vdrug (suddenly), which in Russian has a great number of forgotten synonyms. In most cases, this word is used in the meaning of “unexpectedly” and “what if”, while its meaning field is unlimited. The word vdrug (suddenly) indicates that our attempts to predict, catch or describe the event of life in its linear causal-temporal sequence are always insufficient. A person cannot accommodate everything happening, it is always greater than the possibilities of one perceiving and experiencing existence, it is not ready and not completed, even being represented by multitude ones. The word vdrug (suddenly) just reflects this incompleteness, always-possibility of mismatching with that each of us individually and all of us together could have assumed. At one time, Lev Shestov was deeply puzzled by this vdrug (suddenly), when he was impressed with the works of Plotinus, Pascal, Kierkegaard and especially Dostoevsky and thinking over their ideas. Shestov supposed that vdrug (suddenly) because of the incredible frequency of its use is a vivid confirmation of the irrational, unreasonable forces of being, to which not only science but also philosophy with its traditional, rational methods is powerless. This text is not a dedication to Lev Shestov, but addressing to him as a high-level competent interlocutor who understands the essence of the matter and is not afraid of dizziness. At the same time it is a thankful reference to him as a genius thinker, awakening and encouraging to take part in the banquet of thinkingbeing, here-and-now diverging in many, unknown from where the emerging and unknown where the outgoing paths.
Perancangan Presensi Perkuliahan Berbasis Mobile Pada Universitas Dinamika Bangsa

Dinamika Bangsa University is one of the universities in the city of Jambi. The attendance process for student lecture meetings is currently still being done manually. This has an impact on the process of recapitulation of lecture attendance to be longer and makes it difficult for the parties involved in it. In this study, an analysis was carried out related to the presence process in the dynamic university of the nation, the results of the analysis were used to design applications. This research produces a mobile-based application that can be used by lecturers and students for lecture attendance.
A PRELIMINARY STUDY ON EFL STUDENTS’ GRAMMATICAL COMPETENCE IN DESCRIPTIVE WRITING TASK

This study aims to identify and examine the ill-formed sentence construction in a descriptive text produced by Indonesian senior high school students, focusing on eight grammatical categories classified by James (1998): prepositions, articles, singular and plural nouns, adjectives, irregular verbs, tenses, concord and possessive case. The study used qualitative research and text analysis to examine five senior high school students descriptive texts. The findings showed that there were seven grammatical categories occurred in the ill-formed sentence construction in the students descriptive texts. Those grammatical categories include prepositions, articles, singular and plural nouns, adjectives, tenses, concord and possessive case. In addition, this study also found that the most frequently occurred ill-formed sentence construction in the descriptive text appeared in the grammatical forms of articles, tenses and concord.Keywords: descriptive text, English as a foreign language, grammar
Monitoring of Ground Waters and their Impact in Drinking Water in Some Villages around the Mine "Trepça"

Due to the great natural and underground resources, Kosovo has been part of its economic development oriented towards the development of the mining sector.The greatest exploitation of these resources occurred especially during the 70's and 80's, where as a consequence, many problems have also been inherited in the field of environment.First of all, the environmental impact of industrial wastes, industrial plants, mining landfills, agricultural landfills, etc. should be highlighted.The study consists of physico-chemical, bacteriological analysis and determination of heavy metals in underground waters in some villages around the Trepça mine (Melenicë, Maxherë, Mazhiq, Stantërg, Zjaqë and Vllahi).Physico-chemical and bacteriological analyzes were conducted at the National Institute of Public Health in Mitrovica, whereas the determination of metals was done at the Mining Laboratory with Flotation "Trepça" in Mitrovica.Qualitative assessment consisted of analyzing the most important indicators and comparing them with drinking water standards according to the Standards of Direc.98/83 EC, WHOs.From the laboratory data it turns out that the water that emanates from these villages is polluted water as a result of high levels of physico-Evaluating …
Pengaruh Lingkungan Keluarga, Teman Sebaya, dan Prestasi Belajar Terhadap Minat Melanjutkan Pendidikan ke Perguruan Tinggi Siswa SMK Negeri Bisnis dan Manajemen Kota Padang

This research aims to determine the extent of the influence of family environment, peers, and learning achievement on the interest in continuing education to higher education in the XI class of accounting skills competencies in Padang City Vocational School simultaneously and partially. There are two Vocational Schools namely Padang State Vocational High School 2 and Padang State Vocational High School 3. This means that the population in this study was all students of class XI Accounting of Vocational Schools 2 Padang, amounting to 121 people and Vocational Schools 3 Padang totaling 83 people. From a total of 204 populations, the sampling method used was proportional random sampling technique with a total sample of 127 students. Data collection techniques using questionnaires and documentation. For data analysis methods used are descriptive and associative analysis and hypothesis testing using multiple linear regression analysis. The results of the study showed that there were influences on the family environment, peers, and learning achievement towards the interest in continuing to higher education simultaneously at 24.8%. Partially the family environment influences the interest in continuing to higher education. Whereas peers do not influence the interest in continuing their education to college. Likewise, for learning achievement does not affect the interest in continuing to higher education.Keyword: family environment, peers, learning achievement
Development and Optimization of NoSQL Database in Food Insecurity Early Warning System Based on Local Community Participation

As a part of the food insecurity early warning system based on local participation, a robust and scalable database service is required. This necessity caused by the large area of services which include 34 provinces, 416 districts, 7,215 sub-districts and 80,534 villages in Indonesia. The abundant number of the expected daily transaction might not be handled properly using the traditional model. In this research, we design, implement, and optimize the NoSQL database to create scalable, dynamic, and flexible database service for the early warning system. The cohesion of the model is then measured, resulting in 5 entities with high cohesion, 16 with moderate cohesion, and 3 with low cohesion. After refactoring, we reduced the number of the low-cohesion entity into one and increased the average cohesion from 0.62 to 0.67. An empirical experiment was conducted to compare the response time before and after the refactoring. As the results, the average response time is decreased from 11.0 ms to 7.99 ms or equal to 1.38 in speedup.The resulting database is then used as a part of database services in our early warning system.
Multi-level analysis of IEC 61131-3 languages to detect clones

Nowadays, automation can be assisted by using programmable logic controllers (PLCs). PLCs are typically programmed with IEC 61131-3 languages to automate and implement the applications. PLC program classification plays an important role in the identification of similar functionality, which can be considered as software clones. In this paper, we present work to identify clones in IEC 61131-3 languages, using an approach based on four different perspectives: (a) clone prediction: filtering based on heuristics; (b) structural analysis: detect syntactic code clones; (c) semantic analysis: analysis of output variable dependency and input variable impact usage to detect semantic clones; (d) variable interval analysis: analysis of each program variable intervals to examine and detect clones. Our approach is a combination of structural, semantic and data interval based analysis. As a result, our approach is feasible and yields good results in detecting clones on our test data.
On Empirically Examining The Effectiveness Of Deep Learning-Based Bug Localization Models

Software Bug Localization involves a significant amount of time and effort on the part of the software developer. Many state-of-the-art bug localization models have been proposed in the past, to help developers localize bugs easily. However, none of these models meet the adoption thresholds of the software practitioner. Recently some deep learning-based models have been proposed, that have been shown to perform better than the state-of-the-art models. With this motivation, we experiment on Convolution Neural Networks (CNNs) to examine their effectiveness in localizing bugs. We also train a SimpleLogistic model as a baseline model for our experiments. We train both our models on five open source Java projects and compare their performance across the projects. Our experiments show that the CNN models perform better than the SimpleLogistic models in most of the cases, but do not meet the adoption criteria set by the practitioners.
GRADUATE STUDENTS’ ATTITUDES AND PERCEPTIONS TOWARDS MOBILE LEARNING AT KING KHALID UNIVERSITY (SAUDI ARABIA)

Mobile Learning (mLearning) has become an influential educational technology in higher education. With the internet and other technological developments, mLearning makes it possible for students to learn, collaborate, and share ideas with each other. However, mLearning student acceptance is critical to its effectiveness. Attitudes toward learning is a vital factor in deciding whether or not students are ready to use mLearning for academic purpose. Student attitudes may identify strengths and weaknesses of mLearning and facilitate development of the technology. This qualitative study aims to investigate graduate students’ attitudes and perceptions toward using mLearning in education. Data were collected by conducting interviews with fourteen graduate students enrolled in masters and doctoral programs in the College of Education at King Khalid University (KKU), Kingdom of Saudi Arabia. Generally, graduate students in education disciplines had positive attitudes toward mLearning and expressed a desire to use it in their future educational settings. Students perceived mLearning to be valuable for academic purposes, noting the convenience of being able to access course materials, the ease of communicating with other students and professors at their own pace, and the flexibility mobile devices offer over desktop or laptop computers. However, students identified a few usability issues like small screen size and keyboards, and additional cost of mobile devices and the corresponding cost of Internet access as constraints for using mobile devices for learning.
Modern education upgrade

From the essential approach position, the modern educational organization formation and performance are considered in the article as a scientific-educational, learning, socio-cultural object that meets the society requests; the modern teacher education priorities and development directions are determined; the development of the modern pedagogical knowledge prospects is emerged, which are formed under the new education paradigm conditions, which are characterized by digitalization, networking, distance transmission of information, the subject's generation of all possible alternatives to reveal individual's personal balance; the research process dynamics and methodological optics of a modern university is analyzed; the rational use of the teacher education available resources is discussed; the methodological practice and ways of the new practices subsequent multiplication in university education the system are reflected; the factors, affecting a modern subject education quality are established; the degree of the mediated product influence on the modern teacher university educational strategy implementation is determined; the training and educational tools of the marketable specialist are investigated; an approach is implemented that identifies a modern student in his/her development, which helps to determine the pedagogical matter motion state, to recreate a coherent picture of the available stocks and funds, necessary for the individual's education at the qualitative.
Video Based Facial Detection &amp; Recognition

The identification of a person through images has been on cards for a long while but identification/recognition through video is not so common that is what we have tried to explain by the use of some classifiers like HAAR, Local Binary Pattern (LBP) and Local Binary Pattern Histogram (LBPH). These all classifiers are used for facial detection &amp; recognition respectively. For the Facial Detection, HAAR Classifier is used while for Facial Recognition Local Binary Pattern Histogram is used.
Proposing a Scheme for Human Interactive Proof Test sing Plasma Effect

Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. The mission of making good HIP system is a challenging issue, since the resultant HIP must be secure against attacks and in the same time it must be practical for humans. Text-based HIPs is one of the most popular HIPs types. It exploits the capability of humans to recite text images more than Optical Character Recognition (OCR), but the current text-based HIPs are not well-matched with rapid development of computer vision techniques, since they are either vey simply passed or very hard to resolve, thus this motivate that continuous efforts are required to improve the development of HIPs base text. In this paper, a new proposed scheme is designed for animated text-based HIP; this scheme exploits the gap between the usual perception of human and the ability of computer to mimic this perception and to achieve more secured and more human usable HIP. This scheme could prevent attacks since it's hard for the machine to distinguish characters with animation environment displayed by digital video, but it's certainly still easy and practical to be used by humans because humans are attuned to perceiving motion easily. The proposed scheme has been tested by many Optical Character Recognition applications, and it overtakes all these tests successfully and it achieves a high usability rate of 95%.
Sistem Pakar dalam Akurasi Deteksi Pendarahan pada Kehamilan Menggunakan Metode Forward Chaining

The occurrence of bleeding in pregnancy is one of the most complications experienced by pregnant women. The limited knowledge possessed by pregnant women about the risks and dangers of bleeding during pregnancy and wrong or late handling when bleeding occurs is one of the factors that cause bad conditions that occur, namely fetuses and pregnant women can die due to bleeding experienced. This study aims to determine the level of accuracy in diagnosing bleeding that occurs in pregnancy by using the Forward Chaining method precisely and accurately. The data processed in this study were as many as 20 data which came from patient medical records and interviews with experts at RSKIA Sukma Bunda Payakumbuh. The processing stages consist of preparing input data, determining decision tables, creating rules, tracking processes, making decision trees, and tracking results. The results of testing this method are that there are 90% of patients who experience bleeding in pregnancy are based on the results of the consultation entered by the user. The results of this test have been able to diagnose bleeding in pregnancy quickly and accurately using the Forward Chaining method and can be recommended to help the doctor in the emergency room to diagnosing bleeding in pregnancy.
Unified Provisioning Framework for Dynamic Virtual Machine Placement Optimization in Cloud Data Center

Current techniques for Virtual machine placement in cloud data center is avoiding multiple resources due to its complexity and hardness of the problem. Due to this each Virtual Machine Placement increased overall frequency of server consolidation and migration. In this paper, we have overcome these limitations by providing local search-based unified approximation framework which utilized multiple resources of server and reduced the frequency of server consolidation and migration. The framework is evaluated on Azure cloud data center benchmark data sets and it has surpassed existing methods with improvement by 32% in overall virtual machine placement.
Security Risk Detection and Prevention in Online Social Networking

Online Social Networking System plays an important role in both the modern lifestyle and business models, which changes the way we connect with the physical world. It attracts lots of people and hence users drastically enhance day by day. The end users of the online social network increase ultimately. So that privacy issues increased in this site which leads to several legal issues. The millions of people are facing security issue, such as cyber-crimes, device hacked and so on. The intention of this proposed project is to investigate risks in this social system and used to analyze the attack activity pattern in the social network. In this projects attack detection will be done. And also attack prevention is done by this project. So that end user gets alter regarding his account which is available on social site. After getting alter user can take action regarding his attack. And also this project will help to block the attack. By using this project, the user can trust on social networking system if in case an attack occurs when the system can evaluate it and get alter to the user.