Reviewerly/exHarmony huggingface dataset:
Perbaikan Tingkat Kekaburan Gambar Akibat Pembesaran Pada Hasil Creenshot Dengan Metode Unsharp Mask

Screenshot is a display image taken from a monitor screen such as computers, tablet PCs and smartphones. The image results from the screenshot have a low level of sharpness and smoothness. If this image is enlarged, the quality becomes low like blur. To improve the quality of the image so that it is not blurred when enlarged, then the process of sharpening and smoothing. This process will improve the quality of the image to be better. The image that is processed in this research is the image screenshot. Furthermore, the image is processed using digital image processing using Matlab software. The processing stages are crop, image enhancement and unsharp mask. The image of the image enhancement and unsharp mask results are collaborated to increase and increase the sharpness and smoothness of the image in the results of the screenshot image being tested. The results of testing on this method with better sharpness quality with a comparison of images using the mean square error of 0.0627.2404%. The image of the test results can be concluded that the value of the pixels sought has a larger image size than the original and has a resolution greater than the initial image and sharpness and smoothness so that the unsharp mask method can improve the sharpness and smoothness of the image. But the changes produced using the method have not been significant enough.
THE FLIPPED CLASSROOM AS A TECHNO-DIDACTIC STRATEGY FOR THE DEVELOPMENT OF MATHEMATICAL COMPETENCES IN A POSTGRADUATE COURSE IN ADMINISTRATION AT THE INSTITUTO POLITÉCNICO NACIONAL

THE FLIPPED CLASSROOM AS A TECHNO-DIDACTIC STRATEGY FOR THE DEVELOPMENT OF MATHEMATICAL COMPETENCES IN A POSTGRADUATE COURSE IN ADMINISTRATION AT THE INSTITUTO POLITÉCNICO NACIONAL
Multikey based mutual authentication between IoT device and IoT server

IoT is an emerging technology that will help to bridge the gap between the physical and digital spheres.Nowadays everyone show interest towards achieving maximum security for IoT devices but issues like cost consciousness, hardware limitations ,lack of security expertise ,attacks by the third party like side channel and dictionary attacks are common these days .As a result ,to avoid such issues and provide a much secure authentication between IoT device and IoT server we bring in Multi key Two way authentication mechanism .This can be done done using many approaches. Here, we propose an authentication mechanism based on secure vaults which is a collection of equal sized keys.
APPLICATION OF ACTIVE METHODOLOGIES IN A UNIVERSITY SUBJECT

The European Higher Education Area (EHEA) implies the transmission of an educational model centered on teaching, towards a model centered on the autonomous learning of the student.Therefore, traditional subjects, for their adaptation to this EHEA, must be adapted with participatory practices for the achievement of the new objectives, and taking into account that the students must acquire a series of capacities, that, in general, had not been imparted or evaluated previously.This kind of capacities could be, for example, the capacity of work in group, the capacity of oral presentations making, solving problems, etc.In this environment, concepts as "cooperative learning", "group activities" and "group work techniques" are getting more and more important each time.The present work explains the different techniques used in the subject "Integrated Information Systems in Industrial Companies" of the "Degree in Industrial Organization Engineer" with the purpose of motivation, self-learning and improving the development of competences by the student, including some of them of transversal type, as, for example, the capacity for group work or oral presentation
Coreference resolution Ontology-based in sentiment analysis

Entity co-reference resolution and sentiment analysis are independent problems and popular research topics in the community of natural language processing. However, the combination of those two problems has not been getting much attention. Thus, this paper susgests to apply knowledge base to solve co- reference between object and aspect with sentiment. In addition, the paper also proposes the model of Ontology-based co-reference resolution in sentiment analysis for English text. Finally, we also discuss evaluation methods applied for our model and the results obtained.
Comparative Study of Artificial Intelligence Techniques for Image Classification

There are various applications of image processing in the field of engineering, agriculture, graphic design, commerce, historical research and architecture. This paper studies and compares most of the research works done in the field of image processing and machine learning for the purpose of image classification based on the features extracted from the image through different feature extraction techniques. The machine learning techniques studied in this paper are Convolution Neural Network (CNN), Support Vector Machine (SVM) and Fuzzy logic. The paper studies and compares these methods for their implementation in classification of digital images. Color based segmentation models are used to segment the specific features from image and categories them into different classes. First image preprocessing is done on the image to reduce the noise from the image. Then image segmentation and edge detection techniques are used to identify the objects in the image and extract the features through which the image can be labeled with a specific class.
PENERAPAN METODE WATERFALL PADA PENGEMBANGAN SISTEM INFORMASI REKAM MEDIS

A computer is one of the technologies that can make people activity easier. To maximize computer utilization it needs a computerization system. Like on Klinik Pratama Rawat Inap Naja Shafana that give health service. The service that given is outpatient, inpatient, and emergency unit. Until now, medical records procedure at Klinik Pratama Rawat Inap Naja Shafana still done by hand, one of them is on the outpatient procedure. The registration of medical patient data was written on paper that susceptible to damage and data loss. Besides that, the history of medical patient start from amnesia, diagnose and therapy wrote on paper too. The Medical patient checkup data of inpatient still on a paper. The data have been randomly archived, so it needs a long time searching for data and arrange the report. As a health unit that serves general society, Klinik Pratama Rawat Inap Naja Shafana needs an information system that can accelerate performance and increase redundancy, data loss, and data detriment. The information system also can make archived and data searched easily and can block access from incompetent people. Therefore, it’s necessary to make medical records information system on Klinik Pratama Rawat Inap Naja Shafana. A computerization system besides accelerating performance also can make data reporting easier.
A Hybrid Visual Cryptographic Lossless Image Sharing Scheme based on Bit Sharing

Visual cryptography is a technique that is used to share the secret data in the form of images for acquiring data security.This technique involves encryption and decryption processes for securing data.In encryption process the original image is divided into number of shares and then sends to other end.In decryption by using simple computations the subset of shares combined to reconstruct the original image.In the proposed method by using bit sharing method the original image is divided into four shares.These shares are covered with different cover images by using genetic algorithm and mathematical operations along with column transposition.
0145 How Did Mammalian Sleep Patterns Evolve? Temporal Niche Pursuit In An Evolutionary Model Of Sleep

Early mammalian ancestors are thought to have been primarily or exclusively nocturnal to avoid antagonistic interactions with terrestrial dinosaurs. However, fossil evidence indicates that many terrestrial dinosaur predators had invaded the nocturnal niche by the late Mesozoic. Moreover, there is evidence that nocturnality evolved multiple time independently in the early mammalian lineage. These findings suggest a dynamic co-evolution of temporal niche among dinosaurs and early mammals. To investigate this scenario, we used a neurophysiological model of sleep-regulatory circuits to simulate the evolution of sleep patterns in an agent-based predator-prey system. We defined an artificial genome for the model, with alleles corresponding to values of model parameters that have previously been shown to govern the model’s sleep/wake patterns, including its sleep duration, timing, and cyclicity. Evolution was simulated with fixed population sizes, with the fittest individuals passing parameters to the next generation, including random genetic mutations. An evolutionary fitness function was defined, based on time spent asleep, time spent foraging (for prey), and interactions with other individuals, both within and across species. The predator-prey model generated persistent oscillations in allele frequencies across generations, which were phase-coupled between predator and prey species. These oscillations were driven by switching between diurnal (day-active) and nocturnal (night-active) modes. Specifically, predators successively invaded the prey’s primary temporal niche, while the prey successively evaded the predators’ primary temporal niche, by means of genetic mutations that supported each temporal niche. The rate of oscillations was determined by gene mutation rate and strength of predator-prey interactions. A two-dimensional toy model was derived to explain the key dynamics. These findings indicate that co-evolution may be a driver of evolutionary cycles in sleep patterns, including ‘temporal niche pursuit’ of prey by a predator. The evolutionary model provides a means of testing ecologically based hypotheses regarding the role of environmental factors in shaping sleep-regulatory circuits. -
The judicial interpretation of harmonised standards: Anstar

The James Elliott ruling opened the Court of Justice's doors to the interpretation of harmonised standards, i.e. technical specifications issued by private parties to implement EU law. Yet, on that occasion no real judicial engagement with the content of the standard occurred. The Anstar judgment represents the first occurrence of this type. The decision is remarkable as it outlines a brief vade mecum on the interpretation of harmonised standards, enucleating the basic elements that courts take into account when exercising their hermeneutic discretion. Moreover, the judgment confirms the Court's willingness to enter into technical standardisation and indirectly offers a chance to reflect on the interplay between judicial and scientific authorities within the European Standardisation System.
The Effect Of Modeled Talk Strategy In Teaching Vocabulary At Kindergarten Students (An Experimental Study At Al Insani Kindergarten)

In teaching vocabulary for young learners, the teacher shall understand their characteristics well and give the appropriate strategy. This study aims to find out whether using modeled talk strategy had an effect to help the kindergarten students more active and memorize easier or not. In analyzing the data findings, the researcher used Quantitative approach. The sample data is the B class of Al Insani Kindergarten—Pamulang that consists of six meetings. The result of the study shows that ttest value (=7,94) is higher than ttable value (=2,08) for the significancy level α= 0,05, therefore the modeled talk is proved can help the students‟ learn more active and memorize vocabulary easier. Keywords: Teaching, Vocabulary, Modeled talk strategy, Young learners
The Effectiveness of Using Electronic Book (Epub 3.0) with Blended Learning Approach on Science Classroom

Integrated science subjects in junior high school are developed as subjects of integrative science intended to obtain basic competencies in science and technology and to cultivate scientific thinking critically, creatively, and independently.This study aims to determine the effectiveness of digital books (epub) as learning resources in increasing knowledge and students' skills in learning science.Blended learning combines face-toface learning with e-learning using learning resources for elektronic books (epub).The results showed that the use of emulsions (epub) with a blended learning approach was effective in improving the 5 aspects of knowledge of grade sevent students in science learning.Based on the N-Gain test, the use of emulsions (epub) with a blended learning approach can increase students' knowledge by 0.65 in the medium category.The average value of science process skills after applying the elektronic book (epub) with a blended learning approach is 65.32% with the medium category.
Enabling social WEB for IoT inducing ontologies from social tagging

&lt;span&gt;Semantic domain ontologies are increasingly seen as the key for enabling interoperability across heterogeneous systems and sensor-based applications. The ontologies deployed in these systems and applications are developed by restricted groups of domain experts and not by semantic web experts. Lately, folksonomies are increasingly exploited in developing ontologies. The “collective intelligence”, which emerge from collaborative tagging can be seen as an alternative for the current effort at semantic web ontologies. However, the uncontrolled nature of social tagging systems leads to many kinds of noisy annotations, such as misspellings, imprecision and ambiguity. Thus, the construction of formal ontologies from social tagging data remains a real challenge. Most of researches have focused on how to discover relatedness between tags rather than producing ontologies, much less domain ontologies. This paper proposed an algorithm that utilises tags in social tagging systems to automatically generate up-to-date specific-domain ontologies. The evaluation of the algorithm, using a dataset extracted from BibSonomy, demonstrated that the algorithm could effectively learn a domain terminology, and identify more meaningful semantic information for the domain terminology. Furthermore, the proposed algorithm introduced a simple and effective method for disambiguating tags.&lt;/span&gt;&lt;span style="font-size: 9pt; font-family: 'Times New Roman', serif;"&gt;Semantic domain ontologies are increasingly seen as the key for enabling interoperability across heterogeneous systems and sensor-based applications. The ontologies deployed in these systems and applications are developed by restricted groups of domain experts and not by semantic web experts. Lately, folksonomies are increasingly exploited in developing ontologies. The “collective intelligence”, which emerge from collaborative tagging can be seen as an alternative for the current effort at semantic web ontologies. However, the uncontrolled nature of social tagging systems leads to many kinds of noisy annotations, such as misspellings, imprecision and ambiguity. Thus, the construction of formal ontologies from social tagging data remains a real challenge. Most of researches have focused on how to discover relatedness between tags rather than producing ontologies, much less domain ontologies. This paper proposed an algorithm that utilises tags in social tagging systems to automatically generate up-to-date specific-domain ontologies. The evaluation of the algorithm, using a dataset extracted from BibSonomy, demonstrated that the algorithm could effectively learn a domain terminology, and identify more meaningful semantic information for the domain terminology. Furthermore, the proposed algorithm introduced a simple and effective method for disambiguating tags.&lt;/span&gt;
An Overview of Fall-Related Systems Developed in Canes*

The number of falls is growing as the main cause of injuries and deaths in the geriatric community. As a result, also the cost of treating the injuries associated with falls is increasing. Thus, the development of fall detection and prediction systems with the capability of real-time monitoring without user restriction is imperative. For this reason, canes can be a great choice to embed fall-related systems. This paper aims to achieve a complete state-of-the-art concerning the development of fall detection and prediction algorithms implemented in canes. In order to accomplish this goal, a comprehensive search was performed. This search includes the IEEE, Scopus and Web of Science databases regarding developed systems in the literature. Also, a commercial search on Google and a patent search on Espacenet and the United States Patent and Trademark Office was performed. To this day, it has not been developed any type of cane related system which focuses on the temporal window preceding a fall and that accesses the risk of falling, even though a considerable amount of fall detection systems have already been presented.
BLOCKCHAIN TECHNOLOGY - A NEW APPROACH TO PREVENT INTERNAL FRAUD

In the last recent years, Bitcoin along with many other cryptocurrencies has grown and developed into multibillion dollar industry. Cryptocurrencies are perceived or even misunderstood by many people and experts as purely speculative assets, which have unpredictable values and extreme volatility. The public opinion is separated into two sides: the first side considers cryptocurrency, respectively, Bitcoin as one of the biggest financial bubble and the second side thinks of cryptocurrency as the future which has great potential to revolutionize the financial industry. In fact, the revolution initiated by digital currency does not lie in the transaction value or short-term earning opportunities for cryptocurrency investors, but rather in the underlying technology behind it called „Blockchain”. Since the very beginning of currency and private infor-mation, the existence of thieves and fraudster has always been problematic. Due to the complexity of fraud and the serious risks that fraud presents to business, fraud detection and fraud prevention is often conceived as cat-and-mouse game between companies and fraudsters. Admittedly, there is no completely fool-proofed system or technology, on the other hand fraudsters nowadays constantly change and develop their technique in order to bypass even the most complex security system. Block-chain is a shared distributed ledger that is immutable and resistant to tampering. Only verified contributors by blockchain are allowed to store, view and share digital infor-mation in a security-enhanced environment. The three following features of block-chain: distribution, immutability, permission which help to maintain trust, accountabil-ity and transparency in business relationships. This cutting-edged technology called blockchain has the capabilities and potentials to provide companies and organiza-tions the ultimate fraud prevention solution which they have been waiting for in a long time.“The technology likely to have the greatest impact on the next few decades has ar-rived. And it is not social media, it’s not big data, it’s not robotic, it’s not even AI. You will be surprised to learn that it is the underlying technology of digital currencies like Bitcoin. It is called the blockchain – Blockchain.”.Don Tapscott (Tapscott, 2016)
IMPLEMENTASI PEMBELAJARAN KITAB KUNING MELALUI MODEL PEMBELAJARAN FLIPPED CLASSROOM

In this study explaining the implementation of yellow book learning based on flipped classroom in the Islamic boarding school of Nurul jadid, Zaid bin Tsabit (K) daughter. This research was motivated by the ineffectiveness of santri when studying the Book of Yellow. After being studied more deeply, it turned out that the main factor that caused this was because the learning model carried out by Ustadz was still classic, namely using the lecture model, as a result many santri were sleepy during activities. Therefore, researchers tried using a new learning model, namely the flipped classroom model. This research is a qualitative research carried out in the nurul jadid Islamic boarding school in the zaid bin tsabit (k) region of women, especially the class members of the Takhossus Diny Institute with a sample of 17 people. Flipped classroom is a learning model that is slightly different from the usual, that is before conducting the learning process in the class of students / students learn the subject matter in advance, and teaching and learning activities in the classroom are filled with work and discussing material or problems that students have not understood. Data collection methods in this study include: observation, interviews and documentation.
The Origin of Gravity and Universe

In prior Articles[68-70] was shown that all Particles are Quaternion having, their mass as the Real part and energy as their Imaginary part. Energy is the Work produced, i.e. a force acting on a Displacement in One-Two and or Three directions, and which is conserved. In order that this Motion is conserved as Displacement in all directions, then this Displacement must be kept, Quantized, in a Finite Space differently is annihilated. In Mechanics the only-possible motion in a Finite-Space, is the Periodic excitation and the Revolving motion. Oscillation or Displacement is the Removal of a point A to another point B, not coinciding with point A. Vibration is the Periodic motion of a point A to another point B and vice versa. Line-segment AB is the Material-Point, the dipole[⊕↔⊝] of the Material geometry, in-where Point A is the Positive ⊕ and Point B is the Negative ⊝. Material Points, Segments etc. consist the Physical Structures.
Perbedaan Prestasi Belajar Ditinjau dari Tipe Kepribadian Siswa Kelas IV SDN se-Kecamatan Kebumen

One of the internal factors that influence students learning achievement is personality. This research aimed to find a personality type that gives a better influence on the learning achievement of the fourth grade students of elementary schools in Kebumen sub-district in Academic Year 2017/2018. This research is a quantitative research with comparative method. The selected samples were taken by cluster random sampling technique with the help application of SPSS version 21. The number of samples in this research was 320 students in eleven elementary schools in Kebumen sub-district. The method of data were collected by questionnaire technique and by using document. Data were analyzed by using independent sample t test with significance level of 0.05 (5 %). In testing of independent sample t test the value of Sig. was obtained 0.000 &lt; α (0.05), the average learning achievements of introvert students was 81.60, and the average learning achievements of extrovert students was 80,08 which means that rejected H0. Based on the analysis and discussion of research results, it can be concluded that there were significant differences between the learning achievements of introvert students and the learning achievements of students who have extrovert personality and introvert personality types showed a better influence on the learning achievements of the fourth grade students of elementary schools in Kebumen sub-district in Academic Year 2017/2018 that evidenced by the average learning achievements of introvert students is higher than extrovert students.
Tutorials for Internet of Things(IoT)

We’re entering a new era of computing technology that many are calling the Internet of Things (IoT). Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems—call it what you want, but it’s happening, and its potential is huge.. The IoT is comprised of smart machines interacting and communicating with other machines, objects, environments and infrastructures. As a result, huge volumes of data are being generated, and that data is being processed into useful actions that can “command and control” things to make our lives much easier and safer—and to reduce our impact on the environment.
The organization of time management for participants in the educational process

The necessity to use time management mechanisms in the educational process has been shown informatively in the article.It has been proved that the proper organization of