Reviewerly/exHarmony huggingface dataset:
Research on Sharding Model for Enabling Cross Heterogeneous Blockchain Transactions

While blockchain platforms for various purposes have been developed and the blockchain ecosystem is being developed, interoperability problems are emerging in which each blockchain is isolated and operated. In this study, we introduce interchain and sidechain technologies, which are blockchain that connect blockchain, and explain examples of using heterogeneous blockchain transactions and functions by applying them. In addition, blockchain, artificial intelligence, and IoT technologies, which are drawing attention in the fourth industrial revolution, are going through a process of converging and developing beyond their own development. In this regard, we present processes for combining artificial intelligence or IoT in blockchain, and propose a model that can operate without intervention by applying the combination of blockchain and artificial intelligence IoT to processes for trading and exchange between heterogeneous blockchain.
On the benefits of defining vicinal distributions in latent space

The vicinal risk minimization (VRM) principle is an empirical risk minimization (ERM) variant that replaces Dirac masses with vicinal functions. There is strong numerical and theoretical evidence showing that VRM outperforms ERM in terms of generalization if appropriate vicinal functions are chosen. Mixup Training (MT), a popular choice of vicinal distribution, improves the generalization performance of models by introducing globally linear behavior in between training examples. Apart from generalization, recent works have shown that mixup trained models are relatively robust to input perturbations/corruptions and at the same time are calibrated better than their non-mixup counterparts. In this work, we investigate the benefits of defining these vicinal distributions like mixup in latent space of generative models rather than in input space itself. We propose a new approach - \textit{VarMixup (Variational Mixup)} - to better sample mixup images by using the latent manifold underlying the data. Our empirical studies on CIFAR-10, CIFAR-100, and Tiny-ImageNet demonstrate that models trained by performing mixup in the latent manifold learned by VAEs are inherently more robust to various input corruptions/perturbations, are significantly better calibrated, and exhibit more local-linear loss landscapes.
THE EFFECT OF POP-UP BOOK LEARNING MEDIA ON SCIENCE LEARNING OUTCOMES OF ELEMENTARY SCHOOL STUDENTS

This research was motivated by an influence of pop-up book media on science subjects in elementary schools. The use of pop-up book learning media can help students think concrete things and can improve science learning outcomes. This study aims to examine how the influence of the use of pop-up book media on elementary school students' science learning outcomes. This study uses a quantitative approach. The type of research used is literature review. The data source in this study is the secondary data theory obtained from the results of research that has been conducted by previous researchers. Methods of data collection using documentation. The data analysis technique in this study used descriptive analysis. The results of this study indicate that the use of pop-up book learning media can assist students in improving science learning outcomes. In addition, pop-up book learning media can help student learning and make it easier for teachers to deliver subject matter.
SandTrap: Securing JavaScript-driven Trigger-Action Platforms

Trigger-Action Platforms (TAPs) seamlessly connect a wide variety of otherwise unconnected devices and services, ranging from IoT devices to cloud services and social networks. TAPs raise critical security and privacy concerns because a TAP is effectively a “person-in-the-middle” between trigger and action services. Third-party code, routinely deployed as “apps” on TAPs, further exacerbates these concerns. This paper focuses on JavaScript-driven TAPs. We show that the popular IFTTT and Zapier platforms and an open-source alternative Node-RED are susceptible to attacks ranging from exfiltrating data from unsuspecting users to taking over the entire platform. We report on the changes by the platforms in response to our findings and present an empirical study to assess the implications for Node-RED. Motivated by the need for a secure yet flexible way to integrate third-party JavaScript apps, we propose SandTrap, a novel JavaScript monitor that securely combines the Node.js vm module with fully structural proxy-based two-sided membranes to enforce fine-grained access control policies. To aid developers, SandTrap includes a policy generation mechanism. We instantiate SandTrap to IFTTT, Zapier, and Node-RED and illustrate on a set of benchmarks how SandTrap enforces a variety of policies while incurring a tolerable runtime overhead.
TEE-based protection of cryptographickeys on embedded IoT devices

The Internet of Things (IoT) consists of billions of embedded devices connected to the Internet. Secure remote management of many of these devices requires them to store and use long-term cryptographic keys. In this work we propose to protect cryptographic keys in embedded IoT devices using a Trusted Execution Environment (TEE) which is supported on many embedded platforms. Our approach provides similar protection as secure co-processors, but does not actually require an additional secure hardware element.
Μελέτη και σχεδιασμός συστήματος κρυπτογραφίας στην μετα-κβαντική εποχή σε υλικό

Recent advances in quantum computer technologies, challenge the current public key cryptography. Therefor, a competition is underway to adopt a new standard that will be immune to such threats. The last few years, also, we see an increase in embedded devices connecting to the Internet and, of course, the need to do it securely. The most common protocol for secure communication in the Internet, is TLS. We, in this thesis, tried to implement and measure these algorithms in restrained devices, using TLS. In particular, we used TLS version 1.3, with the post-quantum algorithms, Kyber, Saber and Dilithium, in the board NUCLEOF439ZI. As there is no other research in this implementation, we saw that, although post-quantum algorithms come close to the traditional ones in matters of speed, they are restrained by their large keys and memory needs.
THE USE OF FISHBONE DIAGRAM TECHNIQUE TO IMPROVE STUDENTS'WRITING ABILITY

This research is a library study that analyzing how the use of fishbone diagram technique can improve students’ writing ability based on the experts and some the previous studies. This research focus on Ishikawa’s theory with his 4 steps of fishbone diagram, there are preparation, drawing, identification, and produce. The data were collected using investigation technique of discourses from textbooks, articles, journals, papers and other relevant data sources. There are 10 sources in this study, those sources are: Ardianto (2019), Mahsunah and Durotun (2018), Seviyanti (2019), Zuhainah (2019), Al-Khataybeh (2018), Apriliya and Putri (2018), Razoqey and Yahya (2019), Safitri and Nanda (2016), Setyawati (2016), and Setiawan (2014). Here, the researcher analyzed by reading deeply to get understanding of the important data from all of the sources. The researcher reviewed to look for similarities or association between one source and another sources. After that, the researcher paraphrases and elaborates the statements to give valuable information. The findings from the selected data will be explained and summarized by mentioning the name of the researcher, the methodology, the text types, learners background, areas, the procedure in teaching and learning process, the results of the study, the advantages and disadvantages of the technique. the result of the analysis from all the sources showed that the use of fishbone diagram technique could improve students’ writing ability based on four steps of this technique.
Comprehensive Survey of Classification, Streaming Techniques in Big Data Analytics

Now a days, managing big data are a practical issue because of large number of data to be increased data by day from some real time applications like web clicks log data, social media data, mobile communications data, customer service center data, e-commerce related web data and health care sensor data. Basic nature of big data is structural but some of generated data may have some inconsistent, inaccessible and unstructured. Big data streaming is a process in which big data is quickly processed in order to extract real-time insights from it. So that traditionally some of the streaming techniques are introduced to process inaccessible data and visualize that data and represent in various patterns. In this paper, we present the comprehensive survey/study of data streaming techniques with respect to visualize and process continuously generated data from embedded sensors, some IoT devices, real time transactions and mobile applications. We also describe the brief discussion about different prediction related classification and clustering approaches used for data processing with similar or dissimilar patterns. We give brief comparison of different approaches used in visualization/processing of big data with different feature representations. Also presents state-of-the-art methodologies relates to anomaly detection and also describe vital characteristics associated some machine learning related algorithms.
LibGuides: COM 375: Internet Production: Internet Resources

This is a library guide for COM 375: Internet Production. Link to authoriative internet sites
TEACHER RELATED FACTORS THAT INFLUENCE ACCESS TO ICT BY LEARNERS WITH VISUAL IMPAIRMENT IN SELECTED SPECIAL SCHOOLS IN KENYA

Information Communication Technologies (ICT) are growing in availability and use. They are gradually being introduced to support various educational initiatives in schools with focus on communication. Information Communication Technology offers a potential to support lifelong learning for all groups of learners including those who have special educational needs. However, with the great emphasis placed on the importance of ICT in schools, little is known about the perception of learners with visual impairment towards the use of the new technologies in Kenya. The findings are significant for it will inform the policy makers in education on the ICT needs of learners with VI. The objective of the study was to find out leaners related factors that influence access to ICT in special primary schools for visually impaired in Kenya. The study adopted descriptive survey method. The study targeted 3 public primary schools for learners with visual impairment and 750 learners in Kiambu, Meru and Mombasa counties. Purposive sampling, stratified random sampling and simple random sampling were used in drawing the samples. The samples consisted of 3 primary schools for learners with VI and 75 learners.  Data collection instruments were questionnaires. Content validity was determined by seeking expert review. Split-half test of reliability was used to establish the reliability of the instruments. A correlation co-efficient of 0.75 was achieved. Quantitative data were analyzed using descriptive statistics. The study found that ICT enjoyed full support from learners with VI. It was seen as an essential tool in supporting education for learners with (VI). Learners concentrated during learning when using personal computers and they could learn more through incidental learning when using them.  The study therefore recommended that the government through the ministry of education to provide more adapted computers and other relevant ICT materials to schools for learners with VI as they roll out the ambitious laptop campaign for standard one pupils in public primary schools to make them benefit from global knowledge thus making more included in the society.
Implementation of Encrypted Image Based Password to Authenticate Company Data from the Cloud

In modern day technology, the Information Society is at risk. Passwords are a multi-user computer systems usual first line of defense against intrusion. A password may be textual with any combination of alphanumeric characters. But no authentication protocol is fully secured against todays hackers as all of them are Static in type. Dynamic authentication protocol is still a theoretical concept. In this proposed system doing introduce a secure data scheme with cryptographic primitives for data access from the database server. In a proposed methodology we use the data encryption and steganography technique to secure the image password generation to secure access on the data server’s files, for more security splitting technique used to the stegno image for verification server side and client side user data. This system provides strong data security to storage on local cloud server and we also provide the strong network communication security to registered users during data uploads and downloads user data. In this system covered the idea of generating an efficient algorithm for generates secure image based password Authentication system.
In Memory of Alexander Sergeevich Ilyushin

Provides information about the deceased Alexander Sergeevich Ilyushin - Doctor of Physical and Mathematical Sciences, professor, Head of the Chair of Solid State Physics, Faculty of Physics, Lomonosov Moscow State University, Honored Professor of Lomonosov MSU, a full member of the Russian Academy of Natural Sciences, a well-known specialist in the field of structural solid state physics: basic biographical data, training at the Physics Faculty of Lomonosov MSU, postgraduate studies and work at the Solid State Physics Chair of Moscow State University, defense of candidate and doctoral dissertations, authorship of hundreds of scientific works, dozens of monographs and textbooks, pedagogical activity, leadership of the Solid State Physics Chair of MSU, membership in the academic councils of the Physics Faculty, participation and organization of Russian and international conferences, editorial scientific journals, creation and management of the Museum of History of the Physics Faculty of MSU, membership in the Russian Academy of Natural Sciences, management of its Division, creation and management of the Union of Philatelists of Russia, participation and organization of Russian and international philatelic exhibitions and conferences.
Best 65% Mechanical Keyboard

I cannot imagine what typing would have been like without a 65% mechanical keyboard. I consider the 65% mechanical keyboard a savior for people like me ...
스토리텔링의 활용이 영어 능력 향상에 미치는 영향 : 메타분석

The present study aims to explore the overall effects of utilizing storytelling techniques on Korean EFL students’ English competence. For this purpose, a meta-analysis of 40 findings in 28 research articles, which are collected from RISS (www.riss.kr), was implemented to integrate the results of individual studies by computing the mean effect sizes. The results were reviewed and analyzed in terms of school types, research design, treatment period, dependent variables, and so on. The results showed that using storytelling in English classes had the positive effects on learners’ English competence in general (d=.820). Moreover, the higher effect size was calculated in the regular class than the non-regular one. However, there were no statistically significant differences in school types, treatment period, and four language skills (listening, speaking, reading, and writing). Lastly, pedagogical implications and suggestions for further studies are discussed.
Application of Multisim in the Teaching of Electrical and Electronic Course in Higher Vocational Colleges

Multisim was not only used to remedy the shortcomings in the teaching process of electrical and electronic course in Higher Vocational Colleges, but also used to solve the problems of single teaching tool of teachers, low learning enthusiasm of students and difficulty in achieving the expected goals in the traditional teaching of the course. With the help of Multisim software, the teaching of the course can greatly reduce the financial input in the teaching model of the school, improve the teaching quality of teachers and intense emotion of students. So it can achieve twice the result with half the effort.
Game theoretical approach for a fair and effective pricing strategy in cloud computing

The most proven pricing models for the healthy competition are based on game theory techniques that ensure equal consideration of interests for both clients and providers. However, user's preferences and price's sensitivity have a direct influence on the acceptance of new services, an issue that has been relatively neglected by previous research in this area. Thus, we formulate a mathematical model that takes into consideration users' behaviour and at the same time increases the marginal profit. The objective of this work is to improve the revenue for cloud providers as well as users' satisfaction. Experimental results show that the proposed approach is an optimal solution to obtain a reasonable price strategy in a competitive cloud market. More importantly, client's satisfaction has a considerable influence on pricing policy and the expected payoff. In this context, cloud providers compete with each other to maximise their expected utility even when they offer services at a reasonable price.
Film Recommendation Analysis with Sequential Pattern Discovery Algorithm Using Equivalence classes (SPADE)

Currently, the internet is the most essential thing in human life. So that there is a change in human needs, one of which is enjoying entertainment. With the internet, enjoying entertainment can be done anywhere and anytime, one of the entertainment is movies. With the internet, many service providers provide movie watching sites online. So that people become interested and use it a lot to watch movies online. With the increase in film fans, a film recommendation system is required to make a film recommendation pattern based on previous movie viewing. Therefore, this study aims to provide recommendations for viewing films using the pattern recognition method that often occurs. The technique used is sequence pattern mining using SPADE to find patterns from a group of data. SPADE's advantage is its speed in finding sequence frequencies that can be used as movie recommendation data from previous shows.
Kotless: a Serverless Framework for Kotlin

Recent trends in Web development demonstrate an increased interest in serverless applications, i.e. applications that utilize computational resources provided by cloud services on demand instead of requiring traditional server management. This approach enables better resource management while being scalable, reliable, and cost-effective. However, it comes with a number of organizational and technical difficulties which stem from the interaction between the application and the cloud infrastructure, for example, having to set up a recurring task of reuploading updated files. In this paper, we present Kotless - a Kotlin Serverless Framework. Kotless is a cloud-agnostic toolkit that solves these problems by interweaving the deployed application into the cloud infrastructure and automatically generating the necessary deployment code. This relieves developers from having to spend their time integrating and managing their applications instead of developing them. Kotless has proven its capabilities and has been used to develop several serverless applications already in production. Its source code is available at this https URL, a tool demo can be found at this https URL
PENERAPAN METODE UTAUT UNTUK MENGUKUR PENERIMAAN, PENGGUNAAN, DAN KEPUASAN MAHASISWA TERHADAP SISTEM INFORMASI AKADEMIK UNIVERSITAS PEMBANGUNAN NASIONAL “VETERAN” JAKARTA

The existence of an information system for a university plays a very strategic role in producing quality information. The Academic Information System at UPN Veteran Jakarta is a system designed to process academic administration data. The goal is to facilitate the university in obtaining effectiveness and efficiency in data processing. To be able to find out whether a system is running that can be accepted by the user, it is necessary to do a study. One of the determining factors for the success of implementing a system is by testing using the Unified Theory of Acceptance and Use of Technology (UTAUT) model which consists of performance expectancy variables, effort expectancy, social influence, facilitating conditions on behavior intention to use the system. This study distributed questionnaires to 464 students of UPN Veteran Jakarta. For data analysis methods using IBM SPSS Amos. The results of hypothesis testing from data processing show that the constructs of performance expectancy, social influence, facilitating conditions on behavior intention to use the system are acceptable. While the effort expectancy on behavior's intention to use the system was rejected, so that overall students were quite satisfied with the SIAKAD UPN “Veteran” Jakarta.
THE EFFECT OF USING DRILL METHOD TOWARD WRITING DESCRIPTIVE TEXT (A Study at the Seventh Grade Students of SMP Negeri 2 Padangsidimpuan)

The objectives of this study is to find out is there a significant effect of using drill method toward writing descriptive text at the seventh grade students of SMP Negeri 2 Padangsidimpuan. This research is made by using experimental method. The purpose is to know the effect of drill method in writing descriptive text. Thus, the data in this research belongs to the writing descriptive text. In this research, the Seventh Grade Students of SMP Negeri 2 Padangsidimpuan have position as population with 180 students. Therefore, sample in this research is taken by using random sampling or 45 students. Furthermore, the writer uses test as the instrument to collect the data in which the test divided to pre-test and post-test. The writer uses descriptive and statistic analysis to analyze the data. Based on the descriptive analyzed, the writer shows that the average scores which got by students in X variable is 70.11 in which this score categorized to the good category. Meanwhile, the average scores which got by students in Y variable is 66.22 in which this score categorized to the enough category. Furthermore, statistic analysis shows that “There is Significant Effect of Using Drill Method toward Writing Descriptive Text at The Seventh Grade Students of SMP Negeri 2 Padangsidimpuan”. It is known from the hypothesis testing in which  is higher than , or 2.23 > 1.99.
Threat modeling of cloud systems with ontological security pattern catalog

This work considers challenges, related to the lack of methods of automatic threat modeling and well-formed data sources of threats and countermeasures as well as techniques to collect such security knowledge. Cloud computing domain has been in a focus of security scientists and experts for decade, however it is still a problem to make secure the use of cloud systems and their applications, because of distributed nature, variety of deployment models, and different stakeholders. Towards automation of the threat modeling process we have proposed an ontological approach both to analysis of a system design (by an ontology-driven threat modeling framework) and creation of security patterns (by an ontological schema of security pattern). This work briefly describes those efforts and concentrated on an ontological catalog of cloud system threats. The work offers an Academic Cloud Computing Threat Patters (ACCTP) catalog as a way of the threat modeling of cloud systems and a set of design primitives as means of learning cloud security challenges.
LibGuides: Charles Starkweather: Home

This guided is intended to be a central resource for those wanting to know more about Nebraska's most infamous serial/spree killer or for those interested in true crime.