Reviewerly/exHarmony huggingface dataset:
Students Perceptions in Software Modelling using UML in Undergraduate Final Year Projects

The paper sought to establish the students' perceptions in software modelling using UML in their final undergraduate projects. The research was done at the University in Botswana. The research used a mixed methods approach, an open ended questionnaire was administered to the participants. A sample size of 140 participants that met the inclusion criteria was used in the research. The key findings from the research were that students find modelling using UML to be challenging. Some of the project supervisors assigned to assist students with their projects was not knowledgeable with the student's project topic.
Study on Development of calligrphy education contents - Focused on the case of 《Mabeop Cheonjamun》

대한민국은 전통문화 및 문화예술의 부흥·발전을 도모하고 세계적인 소프트 파워 강국으로 뻗어 나가기 위해 정부 차원의 노력을 해오고 있다. 1972년 <문화예술진흥법> 제정은 문화예술 관련 법제 마련의 시작이었고, 2019년 총 62개의 문화예술 관련 법률에 이르렀다. 이러한 법제 중 2018년 12월에 <서예진흥법>이 제정되었고, 일반에 다가가기 어렵게 느껴지는 서예에 대한 인식은 ‘서예교육 프로그램 개발 및 보급’을 통해 극복되어갈 수 있으리라 생각된다. 그러나 서예교육 콘텐츠 개발 성공사례는 아직 유례가 없음에, 2006년 개정된 후 다양한 분야의 문화산업전문회사의 원동력이 된 <문화산업진흥 기본법>이 탄생시킨『마법천자문』의 성공사례로부터 도출할 수 있을 것이다. 조선시대에는 申公濟의『海東名迹』등을 예외로 하고, 주로 중국의 법첩이 서예 교육 콘텐츠로 사용되었으나, 조선 후기에 이르러는 옥동 이서의『筆訣』, 원교 이광사의『書訣』과 창암 이삼만의『書論』및『華東書法』등이 민족 정체성을 기반으로 하는 서예 교육 콘텐츠로 개발되어 朝鮮風 서체라는 이름의 ‘東國眞體’가 출판 매체를 통해 유통되었다. 조선은 ‘서당’에서『千字文』·『類合』과『小學』을 비롯해『童蒙先習』·『明心寶鑑』·『通鑑』등을 한자 교육 콘텐츠로 사용하였다. 정약용이 한국 고유의 정서가 담긴『兒學篇』을 개발했고, 尹喜求의『千字東史』와 嚴受東의『朝鮮歷史千字文』, 金均의『大東千字文』등의 한국적인 천자문류가 지속적으로 발간되었다. 이러한 시대의 흐름 속에서 지식인들의 고뇌는『마법천자문』이란 자본주의와 문자영상 시대에 걸맞은 성공적인 한자 교재로 이어졌다. 2019년 1월 출시된『마법천자문 시리즈』개정판과 제45권은 증강현실(AR)을 이용한 체험형 콘텐츠 학습만화로 업그레이드되었다. 서예 교육 콘텐츠 개발은 현대에 맞게 진화된『마법천자문』의 플랫폼을 표본으로 정련된 서예 교육 교재와 더불어 VR을 이용해 붓의 움직임을 보여주는 방식으로 할 것을 제안한다. 이미 일본에서 개발 시도되고 있는 몇 개의 Augmented Calligraphy System 등을 보면 IT 공학 기반의 서예 콘텐츠 개발은 자칫 서예가들이 소외될 것으로 생각되지만, 더나은 서예 교육 콘텐츠 개발을 위해서는 IT 공학, 인지공학과 서예 및 여러 분야가 공조해야 할 것을 간과해서는 안 될 것이다.Not only Korea has been promoting the revival and progress of traditional culture and art but also working hard to enrich the country with the world s soft power at the government level. Since the establishment of <the Culture and Arts Promotion Act> started the legal system relevant to culture and art in 1972, the total number of law on culture and art reached 62 units in 2019. Among these legislations, <the Calligraphy Promotion Act> was enacted on December 2018, and the awareness of calligraphy, to which seems complicated for the general public to approach, could be overcome by developing and distributing calligraphy education programs. However, there has not been one case of the success of contents development on calligraphy education yet, and it could be drawn from the success case of the 《Mabeop Cheonjamun [the Magic Thousand-Character Text]》. 《Mabeop Cheonjamun》was produced by one of the culture industry companies, which <the Cultural Industry Promotion Act> gave birth to and became the driving force of cultural industry in various fields after revised in 2006.
Survey of using Mobile Cloud Computing for Smart Education

The new technology called the Mobile cloud computing (MCC) is growing quickly, now used by many organizations, due to its dynamic scalability through the Internet. E-Learning is a model of learning that can benefited from MCC. To implement it in education E-Learning required hardware and software resources. Many of educational organizations investing in using the mobile cloud computing and they publish their education materials using the cloud. Hence, the education sector can benefit using the cloud due to its advantages in reducing the cost of hardware and software and students can access data from anywhere and at any time. This paper presents a literature review of mobile clouding computing, especially in the education field. This paper also focusses on the positive effect of using a mobile cloud computing in education and how can be augmented using intrusion detection system to overcome security challenges. The importance of MCC come from its ability to implement future smart education.
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code

Suppose that we have two training sequences generated by parametrized distributions $P_{\theta_1^*}$ and $P_{\theta_2^*}$, where $\theta_1^*$ and $\theta_2^*$ are unknown. Given training sequences, we study the problem of classifying whether a test sequence was generated according to $P_{\theta_1^*}$ or $P_{\theta_2^*}$. This problem can be thought of as a hypothesis testing problem and the weighted sum of type I error and type II error is analyzed. To prove the result, we utilize the analysis of the codeword lengths of the Bayes code. It is shown that the bound of the probability of error is characterized by the terms involving Renyi divergence, the dimension of a parameter space, and the ratio of the length between the training sequences and the test sequence.
A New Machine Learning Model based on Induction of Rules for Autism Detection

The number of high-dimensional data that endures and is publically accessible on the internet has very developed in the past few years. Therefore, machine learning techniques have the challenge in dealing with the significant number of input features, which is modeling an attractive issue for researchers. To utilize machine learning techniques efficiently, preprocessing of the data is essential. Feature selection is one of the most frequent and prominent methods in data preprocessing, and has become a necessary component of the machine learning process is also known as variable selection, attribute selection, or variable subset selection in machine learning and statistics. It is the method of removing irrelevant and detecting relevant features, noisy data or redundant. This technique speeds up data mining algorithms, enhances comprehensibility and predictive accuracy. Unrelated features are those that give no useful information, and irrelevant features provide no more information than the currently selected features. Regarding supervised inductive learning, feature selection presents a set of candidate features using one of the three approaches. In this research work, a few feature selection techniques like Information Gain, Gain Ratio, Chi-Square and ReliefF are used to reduce the redundant features from the various dataset. These feature selection techniques are implemented by using MATLAB tool. Based on the performance metrics like Accuracy, Kappa Statistics and Error rates, the best feature selection technique to be selected.
Successful campus outreach for academic libraries: building community through collaboration

"Successful campus outreach for academic libraries: building community through collaboration." Technical Services Quarterly, 36(4), pp. 429–430
A Function Point Formulation for the Software Release Planning Problem

Background: Function point analysis is frequently used to provide early effort estimations for software development. If the effort is large enough, the software tends to be delivered incrementally, its requirements being partitioned into a set of releases. Aims: This work explores the structure of function point analysis to allow deploying more requirements into releases of a software system using the same amount of development effort. To afford these extra requirements, our approach exploits opportunities provided by the estimation procedure. Method: An experimental study was organized to compare the approach with the state-of-practice method of FPA-based estimation using data from four real-world projects. Results: Our findings suggest that stakeholder satisfaction, measured as the ratio of delivered to desired requirements, can be increased by 6.5% if data functions are grouped in estimation. Conclusions: We present actionable advice for companies providing or procuring software development services on the form of effort unit contracts.
Deleuze 철학을 바탕으로 영유아와 멀티미디어 내부작용 바라보기

Today’s infants and toddlers are living in a digital environment. This study adopted a post-qualitative perspective, rather than relying on qualitative methods, to treat multimedia as a performative agent in its own right with the aim of obtaining more detailed insights into infants’ and toddlers’ lives surrounded by multimedia. To examine the intra-actions between and within infants/toddlers and multimedia, I recorded data on three infants/toddlers over the course of six to eight sessions from June 2017 to April 2018. My analysis established that multimedia has pervaded the lives of infants and toddlers, not restrained by spatial and temporal boundaries, and that multimedia and infants/toddlers are interconnected through intra-actions accompanied by minute changes. Through this study, I anticipate that intra-action would inform a new perspective that incorporates interactions between humans and material objects (i.e., multimedia), along with interpersonal interactions, into research on learning.
FACILITATION SKILLS OF GRADE SCHOOL TEACHERS IN INCREASING LEARNING RETENTION AMONG GRADE SCHOOL PUPILS IN LUCENA CITY

&lt;p&gt;Based on the results of the study, teachers give pupils an ample time to discover new things on their own. Besides, the way of how the teachers facilitate the learning process might affect the academic performance of the pupils. Consequently, it comes in challenges being faced by the teachers in the facilitation of the learning activities of learners such as planning, creating, preparing, and selecting the materials used on it. Moreover, teachers necessary to consider the student's need for making learning activities. This activity must suit the capability of the learners, adapt to the different learning styles, and especially it is must stimulate the interest of the learners. Although not all activities are suited for all learners because learners are diverse and unique in nature. hence, the needs of pupils are the major concern of the teachers, to assure that the students learn and this learning could apply in their daily lives for meaningful learning. Further, research dealt with the challenges of the teachers in increasing the learning retention of pupils and determine the possible activities employed by the teachers in stimulating the interest of the learners. This research measure the responses measured in getting the frequency, percentage, and weighted mean using formulas to analyze the data gathered. Utilize descriptive design with a survey questionnaire as the research instrument. This research has two sets of respondents the grade school teachers and pupils. &lt;br&gt;&lt;/p&gt;
Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues

Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for this purpose. When an audience watches a movie, they usually compare the characters and the relationships between them. For this reason, most of the models developed so far are based on social networks analysis. They focus essentially on the characters at play. By analyzing characters' interactions, we can obtain a broad picture of the narration's content. Other works have proposed to exploit semantic elements such as scenes, dialogues, etc. However, they are always captured from a single facet. Motivated by these limitations, we introduce in this work a multilayer network model to capture the narration of a movie based on its script, its subtitles, and the movie content. After introducing the model and the extraction process from the raw data, we perform a comparative analysis of the whole 6-movie cycle of the Star Wars saga. Results demonstrate the effectiveness of the proposed framework for video content representation and analysis.
LibGuides: Digital Citizenship K-12: Home

This libguide is intended to guide teachers and students through resources on digital citizenship. The focus of digital citizenship instruction is to teach people how to use the internet and technology responsibly and with best practices.
Info Guides: Musical Instruments Resource Guide: Keyboard

Learn to play a variety of musical instruments using the Sun Life Musical Instrument Lending Library collection.
The other side of the Coin: Risks of the Libra Blockchain

Libra was presented as a cryptocurrency on June 18, 2019 by Facebook. On the same day, Facebook announced plans for Calibra, a subsidiary in charge of the development of an electronic wallet and financial services. In view of the primary risk of sovereignty posed by the creation of Libra, the Central Banks quickly took very clear positions against the project and adressed a lot of questions to the responsible of the project focusing on regulation aspects and national sovereignty. The purpose of this paper is to provide a holistic analysis of the project to encompass several aspects of its implementation and the issues it raises. We address a set of questions that are part of the cryptocurrency environment and blockchain technology that supports the Libra project. We identify the main risks considering at the same time: political risks, financial risks, economical risks, technological risks and ethics focusing on the governance of the project based on two levels: one for the Association and the other for the Libra Blockchain. We emphazise the difficulty to regulate such a project as soon as it will depend on several countries whose legislations are very different. The future of this kind of project is discussed through the emergence of the Central Bank Digital Currencies.
PERANCANGAN APLIKASI KEAMANAN PESAN TEKS DENGAN MENGGUNAKAN ALGORITMA TRIPLE DES

Triple DES (Triple Data Encryption Standard) is one of the symmetrical algorithms on cryptography that is used to secure data in the form of text messages by encoding text messages. The process carried out in encoding the data, namely the encryption process and the decryption process. The triple DES algorithm is an algorithm for the development of the DES (Data Encryption Standard) algorithm. The difference between DES and triple DES lies in the length of the key used. In DES it uses one key that is 56-bit long, while triple DES uses three keys that are 168-bits in length (each of which is 56 bits long).&#x0D; In triple DES, the three keys used can be mutually independent (K1, K2 and K3) or only two keys are mutually independent and one other key is the same as the first key (K1, K2 and K3 = K1). Because the level of confidentiality of the DES algorithm lies in the length of the key used, the use of the triple DES algorithm is considered safer than the DES algorithm. To facilitate the use of the triple DES algorithm, a triple DES algorithm program was created with computer software tools, namely Microsoft Visual Studio 2008 which can encrypt and decrypt text messages.
Improving Style Transfer with Calibrated Metrics

Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image. We seek to understand how to improve style transfer. To do so requires quantitative evaluation procedures, but the current evaluation is qualitative, mostly involving user studies. We describe a novel quantitative evaluation procedure. Our procedure relies on two statistics: the Effectiveness (E) statistic measures the extent that a given style has been transferred to the target, and the Coherence (C) statistic measures the extent to which the original image's content is preserved. Our statistics are calibrated to human preference: targets with larger values of E (resp C) will reliably be preferred by human subjects in comparisons of style (resp. content). We use these statistics to investigate the relative performance of a number of Neural Style Transfer(NST) methods, revealing several intriguing properties. Admissible methods lie on a Pareto frontier (i.e. improving E reduces C or vice versa). Three methods are admissible: Universal style transfer produces very good C but weak E; modifying the optimization used for Gatys' loss produces a method with strong E and strong C; and a modified cross-layer method has slightly better E at strong cost in C. While the histogram loss improves the E statistics of Gatys' method, it does not make the method admissible. Surprisingly, style weights have relatively little effect in improving EC scores, and most variability in the transfer is explained by the style itself (meaning experimenters can be misguided by selecting styles).
Multi-modal Emotion Analysis for Chatbots

Developing chatbots that can recognize the emotions of users is a challenging problem of artificial intelligence. In order to build such a system, we need to define the emotion taxonomy to cover human-like feelings. Consequently, we need to prepare a large scale training data by using the defined emotion taxonomy. In this paper, we investigate methods of representing emotions and applying them in a deep neural network model that classifies the user’s emotion into many dimensions. We also take into account auditory signals of spoken language in addition to contextual information for classifying the emotions of users. Furthermore, we tackle the compositional negation of utterances which may cause misinterpretation of the emotion in the opposite direction. Our experiment shows that our model improves the performance of baseline models significantly.
Universal Composability is Secure Compilation

Universal composability is a framework for the specification and analysis of cryptographic protocols with a strong compositionality guarantee: UC protocols are secure even when composed with other protocols. Secure compilation tells whether compiled programs are as secure as their source-level counterparts, no matter what target-level code they interact with. These two disciplines are studied in isolation, but we believe there is a deeper connection between them with benefits from both worlds to reap. This paper outlines the connection between universal composability and robust compilation, the latest of secure compilation theories. We show how to read the universal composability theorem in terms of a robust compilation theorem and vice-versa. This, in turn, shows which elements of one theory corresponds to which element in the other theory. We believe this is the first step towards understanding how can secure compilation theories be used in universal composability settings and vice-versa.
DOAFT: Infrared And Visual Image Registration Based on Dominant Orientation Align Feature Transform

The registration of multi-modal images is a challenging problem. The registration of infrared and visual images is also one of them and is often encountered. To solve this problem, this paper proposes a method called dominant orientation align feature transform(DOAFT). The first problem we solve is how to align the dominant orientation of the image. We propose a method based on deep leaming, which is called perceptual similarity judgment to keep the rotation invariance first. Then we use the speed up robust feature(SURF) to implement the feature point detection, the maximum index map(MIM) to extract features and the robust point matching(RPM) to remove anomalies. Experimental results show that the proposed dominant orientation alignment method is effective. The final experimental results of registration on infrared and visual images are shown to outperform the best existing methods on the dataset we use.
Working with Kivy Projects from Android Studio

When a Python developer knows that it is possible to create Android apps using Python, one of the first questions to be asked is whether Python can develop rich Android applications like the ones developed in Android Studio using native Android languages (i.e. Java). Unfortunately, the answer is that Python is limited in its capabilities compared to Java when building Android (mobile) applications. But the good news is that there are ways to enrich the Android applications created in Python.
Chance Discovery and Analysis of Data via Multi-Agent Logics

We study applications of mathematical logic to Information Sciences in theirs particular part - Chance Discovery (which is a popular area in Knowledge Representation and CS). Main used tool is multi-agent logic based at modal-like temporal logic. In particular, we consider more thin case when the time is not supposed to be transitive. The semantics of our logical approach is based at relational models for modelling computational processes and analysis of databases (with incomplete information, for instance, with information forgotten in the past, etc). We assume that the agent’s accessibility relations may have lacunas; agents may have no access to some potentially known and stored information. Satisfiability and decidability issues are in focus of research. We find algorithms solving satisfiability problem. Illustrating examples are given and application areas are suggested.
INFERENCE SYSTEM TO ACHIEVE SATURATION OF (F, R, N) KNOWLEDGE BASES

This article aims to present a system for making inference (derivation) on any logical knowledge base with the goal to achieve its saturation. Typical knowledge bases from literature are comprised of facts and deduction rules. In our work was considered an extra layer of this ontology: the one of constraints. So, in our case, the KB is a triple: (F,R,N). The concrete implementation of the system for derivation was made in the object-oriented language C#. The KB is represented in OO environment as a collection of objects of classes corresponding to each type of knowledge. The system takes at input the knowledge base (in OO representation), applies the derivation algorithm and produces at output the saturated set of facts. The testing was done on three types of KBs: small, medium and large. Results and comparisons are presented to the reader in tabular form.
INCREASING GOVERNMENT REVENUE THROUGH INTEGRATED FINANCIAL MANAGEMENT SYSTEM CASE OF FEDERAL GOVERNMENT OF SOMALIA

The purpose of this study was to investigate the contribution of integrated financial management system to the government revenue (the case of federal government of Somalia). The study adopted descriptive research design and the data is collected from the federal government budgets, IMF and World Bank reports and other various research journal articles. The study found that the revenue of federal government of Somalia for the years (2013-2018) has increased due to the adoption of the SFMIS. The study revealed that the domestic revenue increased from US$ 69.2 in 2013 to US$ 84.3 in 2014 and decreased from US$ 114.3 to US$ 112.7 during 2015 and 2016 respectively due to the shortage of revenue collection. There is also an increase in domestic revenue from US$ million 112.7 to US$ million 142.6 2016 /2017 respectively. The change in amount is 29.9 In US$ million and 26.5 in Change %. In addition, the domestic revenue has increased 29.9 In US$ million between 2017 and 2018 from US$ million 142.6 to US$ million 172.5 and it is projected at US$ 189 million which means 10.09% increase in fiscal year 2019. Therefore, Somali financial management information system (SFMIS) had very positive impact on domestic revenue, which has grown from US$ 114.2 million in 2016 to US$ 172 million in 2018 and is projected at US$ 189 million in fiscal year 2019. The study also revealed the Donor fund received by the federal government of Somalia has increased (US$ 41.67, US$ 61.0, US$ 26.9, US$ 58.4, US$ 105.6 and US$124.6) from 2013- 2018 in increasing rate though it has dropped in 2015 and it was estimated US$ 154.3 in 2019 due to the effectiveness of Somali financial management information system (SFMIS) which built the confidence and relationship with Development Partners (DPs) that public fund will be managed in a transparent, equitable and accountable manner. The study concluded that the revenue of federal government of Somalia for the years (2013-2018) increased and projected to increase in fiscal year 2019 due taxes, increase in collections, license fees for telecommunications and fisheries, control in federal government expenditure through a Treasury Single Account (TSA) in the Central Bank in which all revenue collections and authorized payments are made with regular bank reconciliation. Article visualizations: