Reviewerly/exHarmony huggingface dataset:
APPRECIATING SOFTWARE ENGINEERING AS A CHARACTER IN THE ETHICS / MORAL PARADIGM

Gone are the days when "Might is Right", the law of Jungle use to prevail everywhere, though it still exists but to a much lesser degree.This means that the people & nations have understood their duties & right towards others in the current information or precisely the media age.This would not have come to the existence in the absence of the revolutionary nature of the computer evolution (encompassing almost all the disciplines of life) either Relativism or Emotivism paradigm.In my opinion Ethics is" Acknowledgement of others rights (whosoever & whatsoever) is directly or indirectly related to you & discharging your duties and responsibilities to them to the utmost satisfaction of your inner self." This research based on the lifelong (twenty eight years ) teaching the software Engineering as a computer discipline has envisioned the researcher to attribute software Engineering as a character in the light of the various ethical and moral considerations , theory and Practices.
Microservices mobility in datacenters supported by Software Defined Networking

The growing adoption of software architectures based on microservices, and consequently the proliferation of the use of containers in environments with hybrid infrastructures (local data centers and public cloud providers), poses several challenges in terms of integrating this new paradigm into already existing solutions. In this context, this article initially focuses on the challenges of integrating a container orchestration platform (Kubernetes) with existing solutions in the data center, namely: network infrastructure (Cisco ACI - Application Centric Infrastructure), load balancing (F5) and storage (NFS). In a second stage, this paper also addresses the issue of integration with orchestration platforms hosted in a public cloud (Microsoft Azure). This integration will allow the movement of containers from the local data center to the cloud without having to reconFigure the network infrastructure or the current security policy.
Cognitive Demand Recognition Modeling Based on Speech Signal Processing

Prediction of cognitive needs using voice signals is an important subject in information science, management science and sociology, and it is also a very potential research direction. The paper is about the regression prediction of cognitive needs by using speech signal modeling. Its purpose is to find a new cognitive needs assessment model that enables rapid, accurate and non-intrusive assessment of individuals, making up for the lack of timeliness and limited application scope. We obtained the voice data of 240 participants and their cognitive needs scale evaluation results. Then, we use principal component analysis to reduce the dimension of speech features, and use support vector machine, random forest and neural network models to predict cognitive needs. We find that the neural network model not only has the highest prediction accuracy, but also has the most uniform distribution of prediction errors. Through the research, we put forward our own suggestions and prospects for the future research direction of cognitive needs.
Cybercrimes as threats to the cyber security of Ukraine

The relevance of the study is that cybercrime is most often targeted at critical infrastructure, including information infrastructure (energy facilities, transport and banking), and significantly harms the national security of the country. The aim of the study is to investigate the legal nature of cybercrime as a threat to cyber security of Ukraine. A number of definitions of cybercrime are analyzed. Signs and legal makeup of cybercrime are identified. It is stated that cybercrime is used by computer networks or computer systems. It is established that the subject of cybercrime is a natural person who is held accountable, and information security is the object of this crime. The peculiarity is that these crimes are committed in virtual (cybernetic) space or within computer networks. The author also argued for the need to develop a Concept of Security of Critical Infrastructure.
Motivasi Belajar Siswa Sekolah Dasar Di Kota Magelang

Student learning motivation refers to how students get the urge to learn. Learning motivation can be obtained from three aspects, namely extrinsic, intrinsic, and combination motivation. This study aims to determine the analysis related to how the level of motivation for elementary school student learning is influenced by intrinsic factors, extrinsic factors, as well as a combination of both factors. The method used in this research is descriptive quantitative, with data collection methods that refer to the Scale of Intrinsic versus Extrinsic Orientation in The Classroom (Susan Harter's Intrinsic Orientation Scale in Classes) owned by Susan Harter in 1981. Based on the analysis using the SPSS program, as many as 50 , 4% (57 students) of 113 elementary school students in Magelang City had a high level of motivation to learn combination. While the remaining 49.6% (35 students) are divided into categories of extrinsic learning motivation categories, namely 31% of 113 students, and 18.6% (21 students) of 113 students have a tendency for intrinsic learning motivation.
Conformal Rule-Based Multi-label Classification

We advocate the use of conformal prediction (CP) to enhance rule-based multi-label classification (MLC). In particular, we highlight the mutual benefit of CP and rule learning: Rules have the ability to provide natural (non-)conformity scores, which are required by CP, while CP suggests a way to calibrate the assessment of candidate rules, thereby supporting better predictions and more elaborate decision making. We illustrate the potential usefulness of calibrated conformity scores in a case study on lazy multi-label rule learning.
Researchers' Perspectives on the Purpose and Value of the Monograph

The resounding response was that monographs remain key to academic research, both from a career and an epistemological point of view: 'Monographs are the anchors of a discipline, providing solid islands or way markers in an ever expanding sea of research'.However, we also found, unsurprisingly, that the monograph must evolve to support the production and publication of creative and innovative academic work in an increasingly digital world.And then, along came a global pandemic that has changed how researchers, authors, students, and lecturers interact with scholarly materials, almost overnight.Access to numbers and want technology to translate the experience of the physical book into an online version that can be fully highlighted and annotated.They felt that digital monographs even have the potential to support the needs of a typical scholar better than the traditional printed format, performing searches on specific terms to immediately identify the relevant content.Looking back over the results of our original survey, it was clear that the possibilities of an increasingly digital future are already crystallizing for the readers and writers of the monograph.In our last report, we concluded that the monograph 'must evolve to remain relevant to the way academics work in an increasingly digital world'.While this is still true, the current crisis means we now need to look at how to catalyze this evolution into a speedier revolution.The technology exists, the requirements are clear -what we need to do now is to harness this with creative thinking to ensure the monograph remains the 'gold standard' of academic research in the years to come.
Penerapan Teknologi Augmented Reality Untuk Pembelajaran Gerbang Logika Pada Mata Pelajaran Sistem Komputer

Logic Gate is one of the materials in the subject of Computer Systems at the level of SMK in class X. However, until now the learning media only uses textbooks, power point slides and manual simulations using blackboards. While the material about logic gates is very difficult if it is not directly simulated because it is directly related to the interaction of inputs and outputs at each logic gate. During the use of textbooks and manual simulation media students find it difficult to understand the material about this logic gate. The advantage of learning that utilizes augmented reality is an attractive display and displays 3D logic gate objects and input buttons that can be used to interact directly and the output is also in the form of 3D lamp objects, with this augmented reality technology will be very helpful and useful for simulating the gate logic is directly and easily understood by students. 3D logic gate animations are created using the 3D Blender application and the Augmented Reality process is created using the Unity and Vuforia SDK Library. This logic gate learning application has been applied to two classes, namely the control class and the experimental class. From the results of the Pre Test and Post Test that have been done, the control class has a 22.0% increase in percentage, while the experimental class has a 33.4% increase in percentage. Thus the learning application that utilizes Augmented Reality technology can be applied as a medium for learning logic gates at the vocational level of class X
Kemampuan bahasa anak usia 5-6 tahun melalui permainan kata orak-arik

This study aims to improve 5-6-year-children’s language skills through scrambled wordplay in TK Methodist Binjai. This research was conducted because there were problems with the lack of children's language skills in recognizing letters and words. This research was a classroom action research. The subjects in this study were 15 children of B-1 TK Methodist Binjai consisting of 4 boys and 11 girls. The object in this study was the language ability to recognize letters through scrambled wordplay. Data collection techniques were carried out through observation by filling in the observation table of the observed activities. This research was conducted in 2 (two) cycles. The results showed that the activity of playing scrambled words can improve children's language skills in recognizing letters and words. The results of observation in the first cycle obtained 46% of children who developed according to expectations and in the second cycle increased to 67% of children who developed as expected followed by 33% of children who developed very well. This showed that the activity of playing scrambled words to improve children's language skills in recognizing letters and words have been successful.
CAT(0) Geometry, Robots, and Society

OptimallyThere are many situations in which an object can be moved using certain prescribed rules, and many reasons-pure and applied-to solve the following problem.
The Decision on the Selection of the Best Cellular Card Operator Internet Package Using the Analytical Hierarchy Process (AHP) Method

The development of smartphone users who are used for internet access and social media is growing rapidly. So many internet data package providers issued by cellular card operators such as Indosat Ooredoo, Smartfren, Telkomsel, Tri and XL Axiata are competing to provide internet access services to consumers with competitive tariffs, quotas, active periods, speed of access, and promos Another interesting thing is that consumers feel confused and have difficulty in determining and selecting cellular card operators in accordance with the desired criteria, the reason being that there are many cellular card operators provided by telecommunications, so Analytical Hierarchy Process (AHP) methods are needed to solve the problem. The purpose of this study is to assist consumers in choosing internet packages on cellular card operators that suit their needs and make it easier for consumers to make decisions from a variety of criteria using the AHP method. The results of this study from many selected keriteria were chosen quickly and validly that Telkomsel became the best solution for internet package choices by 28% compared to 4 other cellular operators.Keywords: Internet Data Packages, Cellular Operators, AHP.
MOOD System on Supporter Chant in English Premier League: A Systemic Functional Linguistic Study

One of the recent language phenomena in public area is supporter chant.Focusing on the interpersonal interaction among the participant, this research will examine the MOOD system with the SFL approach to determine the status and positions in chant discourse.This research is descriptive qualitative.The data is the clauses and words of the chant lyric downloaded from fanchant.com.It focused on the 'supporting' and 'mocking' player chant of the supporter of the Big Six clubs in English Premier League.The data is collecting through content analysis.The data is analysed through domain, taxonomy, componential and cultural theme analysis.From the MOOD system analysis, containing MOOD type, interaction function, and mood structure, the interpretation of both mocking and supporting chant put the singing supporter in an equal and balanced position with the listener.There is a special note on the mocking chant.Despite the structures place the players at different angles, their level of equality it still the same.Moreover, the message exchanged is in the form of information whether it is the players strengths, supporters hopes, promises, something happened, or a player's disgrace.
Support of Mnemonics Strategies and Parental Involvement in the Development of Early Childhood Literacy

One of the essential abilities to develop early on is literacy.Literacy is the foundation of the learning process and the key to learning success.Literacy skills become an early foundation for the mastery of various science and technology throughout the ages.Literacy skills are not the ability that children have in line with age increase but the ability to possess due to habituation or stimulation.Teachers with the right strategy play an important role in stimulating children.Mnemonics strategy is seen as a technique that can be used by anyone without having a special brain ability.The teacher's role is not enough to maximize the development of child literacy.In this case parental support is indispensable.With the right teacher strategy and parental involvement in providing stimulation and literacy experience, it is expected to maximize the development of child literacy skills.
A Text Clustering Preprocessing Technique for Mixed Bisaya and English Short Message Service (SMS) Messages for Higher Education Institutions (HEIs) Enrolment-Related Inquiries

Objectives: This study is aimed to develop a text preprocessing technique for mixed Bisaya and English short message service (SMS) messages.This technique is used to extract significant keywords for SMS message clustering procedure as the basis for SMS automated response on Higher Education Institution (HEI)'s enrollmentrelated inquiries.Methods/statistical analysis: In this study, a text clustering preprocessing technique is introduced and developed for mixed Bisaya and English SMS messages for Higher Education Institution (HEI) enrollment-related inquiries.The technique is a relatively new approach to extract significant keywords while addressing key challenges in morphological complexities on mixed Bisaya and English SMS messages.The method has seven (7) stages namely: tokenization, language tagging, stop-word removal, stemming, Soundex, final-tagging, and language translation.The term frequency co-occurrence clustering approach is applied to evaluate the precision and effectiveness of the text preprocessing technique.Findings: Test results revealed that the method produces a good preprocessing procedure with approximately 73%-83% accuracy rate on text processing and 87%-90% accuracy rate when text preprocessing is applied to clustering.Application/ improvements: The results of this study may assist academic institutions in maximizing the opportunity to effectively entertain more enrollment-related inquiries via SMS as an alternative communication medium to its target market.This also promotes technological advancement for the institution as it utilizes an ICTenhanced marketing approach through mobile technology.
Analysis of Cloud Computing Security Issues and Risks

In the world of computer networking, cloud computing makes a technical shift of computing services being provided locally to being provided remotely by third party service providers. The data which was previously kept under control of users now under the control of service providers cloud computing brings many financial and functional benefits as well as serious security concerns that may threaten business continuity and corporate reputation. The definition of cloud computing is still blurry in a large part, because of the magnitude of the security risks and the virtually unlimited amount of information being published over the unsecure platform.The purpose of this paper is to assess how security risk factors are affecting the existing and prospective cloud users’ cloud usage strategies. Are they simply betting that financial benefits will surpass security risks, or are they confident that cloud providers are capable of assuring an equal or higher level of security than on-premise systems?This survey, through the examination of published materials and studies, analyzes existing issues along with available countermeasures in order to evaluate the overall assurance level of cloud security. The primary goal of the survey is to assess how security concerns have affected or will affect the respondents’ decision on adopting cloud and its services. This study includes basics of cloud computing by adding its characteristics, models and their categories. Analysis also embraced the existing security concerns faced by researchers and their imposed methodologies.
The Algebraic Splitting of $\mathit{bu}\wedge{BSO(2n)}$

We show that the mod 2 cohomology of bu ∧ BSO(2n) is isomorphic to a direct sum of E-modules, E = Z/2 Q0, Q1 , n ≥ 2. This would give the algebraic splitting of the complex connective K-theory of BSO(2n). MotivationThe stable splitting of complex connective K-theory started with E. Ossa's computation of bu ∧ Σ -2 BZ/2 ∧ BZ/2(see [8]), with Bruner and Greenlees giving more results on bu ∧ BG in [5], where BG is the classifying space of some finite group G.For infinite Lie groups, bu ∧ BO(n) has a splitting derived by Wilson and Yan in [17], and from their results Tsung Hsuan Wu proved that bu ∧ BSO(2n + 1) also has a stable splitting for the classifying space of odd dimensional special orthogonal groups [15].The method he used in his paper only applies to the odd case, whereas leaving the even case unresolved.Based on these results I show that there is indeed an explicit algebraic splitting of bu ∧ BSO(2n), and hopefully in the future use it to find the topological splitting of bu ∧ BSO(2n) to complete the question.First we introduce some of the background material that is essential for my results.
COMMUNICATION OF THE CHILDREN WITH AUTISM IN SLBN SURAKARTA: GRICE’S COOPERATIVE PRINCIPLES

Autism is also believed to be one of the linguistics impairment causes. Not only having problems in the language acquisition in general, but pragmatic deficit has also become serious problem of the children with autism. The objective of this study is to demonstrate how children with autism obey the Grice’s cooperative principles. There are 5 children with autism that become subjects of this study. Those 5 children are specifically children with autism that is categorized as verbal autism children. The data are speech produced by the children with autism in the class. Data collection is done by recording and followed by transcribing. It is analyzed using Grice’s cooperative principles with 4 maxims to be obeyed. The results showed that most of the utterances produced by the children with autism obeying 2 maxims with the most frequent maxim to be obeyed was maxim of quantity.
Pengaruh Sarana Dan Prasarana Perpustakaan Terhadap Minat Baca Mahasiswa Semester 2 Program Studi Manajemen Pendidikan Islam Institut Agama Islam Darussalam Blokagung Banyuwangi Tahun Akademik 2018/2019

This study aims to: (1) Determine the facilities and infrastructure of the library of the Islamic Institute of Islam, BlokagungBanyuwangi; (2) Determine the reading interest of semester 2 students in the Islamic Education Management study program at the Darussalam Islamic Institute, BlokagungBanyuwangi; (3) Determine the influence of library facilities and infrastructure on the second-semester students' interest in reading Islamic Management of the Islamic Institute of Religion, BanyuwangiBlokagung. This study uses quantitative descriptive methods with data analysis techniques using simple linear regression analysis techniques. The population of this research is the second-semester students of the Islamic Education Management Study Program of the Darussalam Institute of Religion BanyuwangiBlokagung, amounting to 90. After analyzing the data, it was found that: (1) the facilities and infrastructure of the AsaiSyafa'ah IAIDA BlockagungBanyuwangi are classified as good; (2) reading interest of semester 2 students of IAIDA Blokagung Islamic Education Management study program is quite good; (3) there is an influence of library facilities and infrastructure on the reading interest of semester 2 students in the Management of Islamic Education, Institut Islam Darussalam BlokagungBanyuwangi is 79.9%.
Reproduce Reading Experience through Smartphone with Argumented Reality Technology

A few decades ago, the way people to absorb knowledge mainly relied on paper books. However, because of the development of technology, recent years, people spend a lot of time to use smartphone. This makes people start to use smartphone to absorb knowledge, even these knowledges come from books. The situation also let people, especially young people, preference to read book from smartphone. Moreover, electronic book, which is also a popular way to preserver precious documents and graphic materials, also become a new method for providing people knowledge as same as paper book. Thus, for better maintain the advantage of using smartphone, such as easy to carry, and keep the advantage of reading paper book, such as the reading quality, we develop an intuitive operation mobile application for people, to simulate a near-realistic reading experience through VR and AR technology while people using smartphone.
Racing Bib Number Recognition Method using Deep Learning

Mass running event has gained popularity ever since recreational running becomes more common as they often held annually by various organizers. As image documentation took a huge part to showcase the event, many thousands of images were generated during the event. Along with thousands of images that were generated, the participant is unlikely to found an image of themselves. To solve this problem, image annotation could be performed to address image with specific tags such as participant attribute like racing bib number (RBN). Manually annotate thousands of images would result in inefficiency of time and hard-labor. As a work to tackle this problem, this paper proposed an automatic image annotation system using the YOLOv3 algorithm based RBN recognition method. The experiment result shows 83.0% precision, 81.5% recall, and 82.2% F1 score as a result of our proposed method on running event dataset. Therefore, this implemented method will promote efficiency to solve the image annotation problem because it doesn't require manual annotation over thousand of running event images