Reviewerly/exHarmony huggingface dataset:
Building the Application to Identify Incorrect Capital Letters Writing in Bahasa Indonesia

Abstract Ejaan Bahasa Indonesia (EBI) is a set of writing rules in Bahasa Indonesia which is implemented since 2015 according to the government rule Peraturan Kementerian Pendidikan dan Kebudayaan Republik Indonesia Nomor 5 Tahun 2015. This new set of rules replaces previously implemented rules which are known as Ejaan Yang Disempurnakan (EYD). The capital letter rule is one of the elements of EBI. According to the official dictionary of Bahasa Indonesia, the capital letter is a letter which has a bigger size and particular form than the common letter. This research yields an application to identify the incorrect capital letter writing in Bahasa Indonesia based on the user input. The application implements Part of Speech Tagging (POS), Named Entity Recognition (NER), N-Gram and set of rules based on EBI. As the conclusion, the application is able to check 81.57% words that should be written in capital form.
Distributed Computing Column 74 Survey of Recon gurable Data Center Networks

This column consists of an overview of recon gurable data center networks and is contributed by Klaus-Tycho Foerster and Stefan Schmid. After giving some accessible background on how such networks came about from the technological and empirical perspective, the authors provide an overview of the algorithmic results obtained so far for problems in this area. The take-away is that the surface has only been scratched and there is potential for much interesting work on algorithmic foundations for recon gurable data center networks.
Convolutional Randomized Binary Features for Keypoints Recognition

Randomized binary features have been used to recognize keypoints. However, the existing methods apply their sampling operations on raw or blurred images. The great success of convolutional neural networks has proved that convolution operator is a powerful feature extractor. So, we try to combine binary feature extractor with convolutional feature extractor to generate convolutional randomized binary features. In our method, we first generate multi-layer convolutional feature maps for an image and apply the pre-generated sampling operators to sample on theses convolutional feature maps. Finally, all the sampling values are binary encoded into bytes-like feature vector. The basic sampling operators of traditional binary features have only two points, which are not suitable for multi-layer images. While, the basic sampling operator we used to observe multi-layer convolutional feature maps is RID (Randomized Intensity Difference) operator. The strategy that applying RID to convolutional feature maps can improve binary feature quality. Our methods are compared with state-of-art methods on several image datasets. The experiment results show the excellent performance of our method.
Relative Analysis on Algorithms and Applications of Deep Learning

Deep learning is an artificial intelligence function that reproduces the mechanisms of the human mind in processing records and evolving shapes to be used in selection construction. The main objective of this chapter is to provide a complete examination of deep learning algorithms and its applications in various fields. Deep learning has detonated in the public alertness, primarily as inspective and analytical products fill our world, in the form of numerous human-centered smart-world systems, with besieged advertisements, natural language supporters and interpreters, and prototype self-driving vehicle systems. Therefore, it provides a broad orientation for those seeking a primer on deep learning algorithms and its various applications, platforms, and uses in a variety of smart-world systems. Also, this survey delivers a precious orientation for new deep learning practitioners, as well as those seeking to innovate in the application of deep learning.
Integrating Real-World Clients in a Project Management Module

Graduates in CS are required to have a background in project management, but often this is taught as a theoretical module, with little "real-world" relevance. A Project Management module has been redeveloped around the idea of having a real client interact with the class throughout the module, to positive comments from staff and students alike.
Comparison of population receptive field properties in occipitotemporal cortex for words and non-word control stimuli

Many studies have shown that neural populations in left occipitotemporal cortex (OT) show distinct fMRI responses to words as compared to other visual stimulus categories. Here we investigated the relationship between greater fMRI responses to words as compared to non-words, especially in left OT, and other differences measured using population receptive field (pRF) estimation. The pRF experiments also assessed differences in OT responses to single words versus words viewed in the context of sentences covering larger portions of the visual field. We found that using single words viewed at different locations during the pRF estimation experiments yielded greater word-selective voxels in left OT, and larger pRFs, than did using full-sentence text. We also observed differences in pRF eccentricity, with respect to stimulus type (words versus non-words) and cerebral hemisphere. Left OT showed greater word selectivity than right OT in both the pRF estimation experiments and corresponding independent localizers. Voxels in left OT that did not show word selectivity showed fewer centrally biased pRFs than did word-selective voxels in the same hemisphere. Our findings show that words and non-words are processed differently between the two hemispheres, and that these differences are directly related to word-selectivity across the visual field.
Mutual kernelized correlation filters with elastic net constraint for visual tracking

In this paper, we propose a robust visual tracking method based on mutual kernelized correlation filters with elastic net constraint. First, two correlation filters are trained in a general framework jointly in a closed form, which are interrelated and interacted on each other. Second, elastic net constraint is imposed on each discriminative filter, which is able to filter some interfering features. Third, scale estimation and target re-detection scheme are adopted in our framework, which can deal with scale variation and tracking failure effectively. Extensive experiments on some challenging tracking benchmarks demonstrate that our proposed method is able to obtain a competitive tracking performance against other state-of-the-art algorithms.
Isomorphisms from the Space of Multilinear Operators

Summary In this article, using the Mizar system [5], [2], the isomorphisms from the space of multilinear operators are discussed. In the first chapter, two isomorphisms are formalized. The former isomorphism shows the correspondence between the space of multilinear operators and the space of bilinear operators. The latter shows the correspondence between the space of multilinear operators and the space of the composition of linear operators. In the last chapter, the above isomorphisms are extended to isometric mappings between the normed spaces. We referred to [6], [11], [9], [3], [10] in this formalization.
Cancellation and Termination of Assignment Contract of Patrimonial Rights of the Author

Abstract The present study offers the doctrine of the right of intellectual creation new perspectives on the study of the institution of termination of the assignment contract for the patrimonial rights resulting from the intellectual creation. We believe that the present study is rich in doctrinal contributions, formulating new theses and opening the prospect for new perspectives of scientific research. Last but not least, we appreciate that the proposals made in the present study contribute not only to the activity of opinionated in the field, but also to the work of practitioners and direct beneficiaries of the legal provisions on the assignment of patrimonial rights of authors.
SISU - A Speaker Identification System from Short Utterances

Technology has made a paramount impact in our daily life over the last decade by assisting us in ways more than we could have imagined of in the last century. Safeguarding our identity in the digital world has been one of the primary concerns in this era and scientists have devoted their attention to biometric security for the same due to its array of advantages. Humans can be identified using a lot of biometrics and voice is one of them. SISU (Speaker Identification from Short Utterances) is a system proposed towards identification of humans from voice clips of very short length. The system works by Mel Frequency Cepstral Coefficient (MFCC) based features. The system was tested on a short utterance phoneme database of 3290 clips and a highest accuracy of 96.66% was obtained using Random Forest amidst different classifiers for the system.
Chan, Sin-wai (ed.). 2018.<i>The Human Factor in Machine Translation</i>

Abstract This article reviews The Human Factor in Machine Translation 978-1-138-55121-3978-1-315-14753-6
Twister Generator of Stochastic Planes

Various pseudorandom number generation algorithms may be used to create a discrete stochastic plane. If a Cartesian completeness property is required of the plane, it must be uniform. The point is, employing the concept of uncontrolled random number generation may yield low-quality results, since original sequences may omit random numbers or not be sufficiently uniform. We present a novel approach for generating stochastic Cartesian planes according to the model of complete twister sequences featuring uniform random numbers without omissions or repetitions. Simulation results confirm that the random planes obtained are indeed perfectly uniform. Moreover, recombining the original complete uniform sequence parameters allows the number of planes created to be significantly increased without using any extra random access memory.
PHILOSOPHY AS AN INSTRUMENT OF STUDENTS’ REFLECTIVE ACTIVITIES

The article discusses the concept of teaching university philosophy course. The current teaching of philosophy at the university does not correspond the requirements of the time, as it is focused on gaining knowledge of philosophy. Such an orientation is characteristic of a classical university, which can exist only in a situation of stability and relatively slow changes in the social world around it. Modern University prepares its graduates for professional activities in a continuously and rapidly changing world. The present dynamic life requires from a specialist the skills of independent, critical work with information, responsible use of it. The purpose of the article is to determine the conceptual foundations of a university philosophy course that correspond contemporary realities. The necessity of orientation of philosophy to the formation and development of the student's skill of reflection problems and issues of professional activity and daily life is justified. In this regard, the task of the university philosophy course seems to be equipping the graduate with the philosophical tools of reflexive activity. Solving this task is promoted by such methods of mastering philosophy as self-reflection, reading and analysis of philosophical texts and discourses. Experience shows that these methods work most effectively in thinking about questions of moral and existential choice, individual freedom, professional mission, the search for the meaning of life, etc., that is, in the analysis of real life situations.&#x0D; In conclusion, it is concluded that the conceptual basis of teaching philosophy in higher education today must be transformed from the study of philosophy to the practice of philosophy.
Cognitive-Based Cover Image Selection in Image Steganography

The chances of data getting lost while it is being transferred between the sender and receiver is very high these days. Since these data are very sensitive whose security cannot be compromised, there is a need for highly secure systems to transfer the data without compromising the content and the quality. Steganography techniques help us to achieve these objectives. In the present time, various organizations and industries are using cover image arbitrarily. In such cases, it does not provide personalized approach to the whole process of data hiding. Thus, as a result of this limitation, there is motivation to build such an application in which the system selects which image is most suitable for hiding data accordingly. The main algorithm being used here is the regression algorithm which consists of other algorithms like linear regression, decision tree regression. This application also extracts the hidden data from the generated stego image.
PAC-Bayes Theory

It is well known that combining the output of several rules results in much better performance than using any one of them alone. In fact many state-of-the-art algorithms search for a weighted combination of simpler rules []: Bagging [, ], Boosting [, ] and Bayesian approaches [] or even Kernel methods [] and Neural Networks [].
3D ENT (Ear, Nose and Throat) Modelling and Implementation into Mixed Reality Environment

Abstract Otolaryngology is a medical science that focuses on the problems of the ears, nose and throat. Otolaryngologists in their roles are people who have been trained in medicine and surgery (surgery) in the ENT department. To get maximum results, a good practice is needed from the beginning to the end of the examination. 3D digital model is one of the services to facilitate pupils in choosing the desired education method. 3D Object is a depiction of an object that is equipped with a perception of space. 3D Object is an object that is designed and drawn the length, width, and height (x, y, z axis) of the object so that it looks more real. The result showed that each organ was detected by displaying a 3-dimensional object in accordance with the original object. Mixed reality is a technique to merge a virtual simulation and real-world environment. 3D digital model in mixed reality technology is one way to make the ENT learning more attractive. With the existence of a 3D digital models in mixed reality environment, it will be easier for pupils and the surgeons to perform a maximum organ learning.
Conceptual Landmarks on the Evolution of Military Art

Abstract Military art is the fundamental component of military science and has as its object the war as a whole and the armed struggle. Over the years, military art has seen spectacular evolutions and mutations in strategy, operative art and tactics, by assimilating and integrating the achievements of the technical-scientific revolution. From this perspective, we aim to highlight the main conceptual landmarks in which military art evolved also targeting the high technology, network-based warfare, the planned operation on the effects of using ISTAR systems and the hybrid operation that integrates and associates several military and non-military components. This comprehensive approach to the evolution of military art gives us the possibility to evaluate the multidimensional operational environment, to highlight the characteristics and physiognomy of the future military operations through the integration of new technological and information systems and equipment. In this context, we state that the success in planning, training, execution and evaluation of military operation in the future will depend on the professionalism of the human resource and the degree of assimilation of technologies and intelligent systems within the management and execution structures.In recent years, the art of war has undergone major changes at all levels (strategic, operational and tactical). Due to the new information phase of the scientific and technological revolution, in the near future, several theories of armed struggle will arise influencing the social and economic life of all states.
Developing an “App-titude” for Cooking

Food preparation for preschool and elementary school children is described from the perspective of enhancing cognition and learning through the use of mobile devices. While most children are too young to use a stove or slice with a knife, with proper guidance and simulated experiences through mobile devices, children can actively contribute to food choice, preparation, and knowledge while educators contribute knowledge from various academic areas. The kitchen can be a positive learning environment for the educator, the student, and potentially, people in the student's household, as part of an effort to develop a positive attitude toward food preparation. Updated learning implications, more current apps, and cooking curriculum suggestions are provided, along with future research recommendations.
Univariate Ideal Membership Parameterized by Rank, Degree, and Number of Generators

Let ${\mathbb {F}}[X]$ be the polynomial ring in the variables X = {x1,x2,…,xn} over a field ${\mathbb {F}}$ . An ideal I = 〈p1(x1),…,pn(xn)〉 generated by univariate polynomials $\{p_{i}(x_{i})\}_{i=1}^{n}$ is a univariate ideal. Motivated by Alon’s Combinatorial Nullstellensatz we study the complexity of univariate ideal membership: Given $f\in {\mathbb {F}}[X]$ by a circuit and polynomials pi the problem is test if f ∈ I. We obtain the following results.
A Recommender System With IBA Similarity Measure

Recommender systemsRecommender System (RS) help users to reduce the amount of time they spend to find the items they are interested in. One of the most successful approaches is collaborative filteringCollaborative Filtering (CF). The main feature of a recommender system is its ability to predict user’s interests by analyzing the behavior of this particular user and/or the behavior of other similar users to generate personalized recommendations. Identification of neighbor users who have had similar taste to the target user in the past is a crucial process for successful application of collaborative filteringCollaborative Filtering (CF). In this paper, we proposed a collaborative filtering method that uses interpolative Boolean algebraInterpolative Boolean Algebra (IBA) for calculation of similarity between users. In order to analyze the effectiveness of the proposed approach we used three common datasets: MovieLens 100K, MovieLens 1M, and CiaoDVD. We compared a collaborative filteringCollaborative Filtering (CF) based on IBA similarity measureIBA similarity measure with two standard similarity measures: Pearson correlation and cosine-based coefficient. Even though statistical measures are traditionally used in recommender systems, proposed logic-based approach showed promising results on the tested datasets. A recommender system with IBA similarity measureIBA similarity measure outperformed the others in most cases.
외국인 대학생을 위한 한국어 교육 과정의 체계화

While the number of foreign students studying at universities in Korea is steadily increasing, there are many problems in adapting to college life and...
Leveraging Existing Knowledge to Match Industry Expectations

During the last four years, information systems graduates participated in a practicum project during their last study year and took part in various professional activities in the industry in accordance with their professional aspirations and their desired specialty. The main purpose of this project was to reduce the gap between the graduates' acquired academic knowledge and the industry expectations. The aim of this chapter was to reveal the graduates' perceived contributions of the project. For that matter, semi-structured questionnaires and interviews with graduates who participated in the project in the last four years were conducted. The graduates experienced real workplace environments, acquired extended knowledge and skills, built social infrastructure to assist them with future job seeking, and above all gained real-world experience that helps them to build their professional image, and gain confidence in their traits and abilities. In addition, the practicum-based approach was compared with other common approaches used to bridge the gap, and its relative advantages and disadvantages were discussed.
Research on application recognition technology based on user's touch screen behavior

As time duration of people using smartphones increases, mobile manufacturers such as Apple have developed mobile usage statistic tools that help users understand time distribution on application usage. However, with the application evolves, users may experience different contexts within one application, such as watching videos, playing games, shopping, chatting, browsing and studying. Existing tools can only count the application duration, but cannot calculate the duration of users experiencing different contexts within an application. Motivated by the interactions between users and smartphones are different for various contexts, this research proposes a context recognition system based on user interaction behavior, which identify six contexts and calculate the duration of user experiencing each context within one application. Experiments confirm that the context recognition system can achieve an average accuracy of 90.4%.
Integration of Linguistic and Aesthetic Education

Foreign language teachers are now actively using modern technologies to the detriment of others, which are no less effective and perform successfully the functions of arts and cultural education. Teaching a foreign language for special purposes (ESP) is not often connected to works of art and has no practical application in professional communication skills training. The purpose of this study was to prove the effectiveness of the application of art in ESP teaching.
Application of a Human Factors-Integrated Information Security Framework to an Oil and Gas Organization

Information systems support organizations to achieve strategic competitiveness and to improve the decision-making process. In addition, they help timely implementation of projects and effective risk management. A reliable and coherent information system requires a solid security framework that ensures Confidentiality, Integrity, Availability, Authenticity and Auditability of the critical information assets; therefore, managing security is essential for organizations doing a business in a globally networked and competitive environment whilst seeking to achieve their objectives and goals and ensuring the continuity of business. To date, studies have shown that non-technical risks are as important as technical risks in safeguarding. However, little attention has been paid to the role of human factors or organizational factors. This study validates the importance of non-technical factors based on a case study of an incident analysis using the information security framework with a focus of non-technical factors.