Reviewerly/exHarmony huggingface dataset:
Speech to Text Using NLP

Speech to text model is automatic speech recognition model which converts the spoken words into the corresponding text of that word.The objective of this system is to take input from the user in audio format and convert it into the words, which would be designed for the application of ATVM machine. The model for speech to text is created by using the neural networks to train the dataset of various recordings related to train ticket and then it was tested.Therefore, this model provides a better way to book a train ticket in a easy way by means of speech to text. Keywords: speech, text, NLP, technology, KNN Cite this Article: Gauri Dhammpal Suryawanshi, Dhanshree Sanjay Thakare, Jyoti Krishnat Yadav, Vrushali Pankaj Thakur. Speech to Text Using NLP. Recent Trends in Parallel Computing. 2020; 7(2): 4–8p.
Library Research Guides: Informatics, Computing, & Engineering: Databases by Topic

Informatics encompasses subjects including library and information science and computer science.
Study on the strategies of improving middle school English teachers' learning ability in the information age

&lt;p&gt;With the deepening of education reform and the coming of information age, English information-based teaching has become the center of English teaching. At the same time, middle school English teachers must keep pace with the times, improve their own ability and better use it in teaching. This paper first analyzes the importance of improving English teachers' learning ability in the information age and the present situation of English teaching, then discusses the problems in practical application, and finally puts forward the corresponding countermeasures.&lt;/p&gt;
An Overview: Data Security Mechanism of Power Terminal in Edge Computing

The number of power terminals is constantly increasing, and the amount of data to be processed in cloud computing centers is growing exponentially, which requires the computing capacity and data security of computing centers to be continuously improved. The emergence of edge computing solves this problem well. During the application process of edge computing in power systems, power terminals are designed to complete more calculation and storage work. Besides, data security of power terminals is becoming more and more important. That is because the power terminals are widely distributed in a complex and diverse environment. The communication channel is open and easy to destroy, causing serious information security threats. This paper collects global research on data encryption, privacy protection, auditing, and other aspects of data security through the research and analysis of security requirements, as well as research on terminal identity authentication, and eventually reviews various methods.
Perancangan Kampanye Sosial Dampak Game Online Bagi Remaja Di Kota Palembang

&lt;div class="page" title="Page 1"&gt;&lt;div class="layoutArea"&gt;&lt;div class="column"&gt;&lt;p&gt;&lt;span&gt;Technological progress is something that can not be avoided in today's life. One of the results of technological development is the internet, one of its benefits is as a means of entertainment, for example to play online games. Online games themselves are not only played from computer games but can also be played on smartphones, online games are much loved by teenagers because online games themselves are a means of entertainment for them but most teenagers are addicted to playing online games. Online games themselves have positive and negative impacts, but if playing excessive online games can have positive impacts which are definitely addicted to playing continuously. The main study of this research focuses on the identification, analysis and design of Video Motion Graphic works and other supporting media. This design uses premedia media planning methods, playing media and media follow-up. Data collected through, observation, interviews, literature and website. The data is then identified, classified, selected, then analyzed using the 5W + 1H method and interpreted according to the text and context. The design of the social media campaign of the impact of online games for teens in the city of Palembang as a visual communication media which is part of the design discussion. This design aims to encourage adolescents to reduce and reduce the number of addictions due to online games especially teenagers in the city of Palembang in order to be able to balance between playing online games and learning to get achievements in education. &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;
Novel-View Human Action Synthesis

Novel-View Human Action Synthesis aims to synthesize the movement of a body from a virtual viewpoint, given a video from a real viewpoint. We present a novel 3D reasoning to synthesize the target viewpoint. We first estimate the 3D mesh of the target body and transfer the rough textures from the 2D images to the mesh. As this transfer may generate sparse textures on the mesh due to frame resolution or occlusions. We produce a semi-dense textured mesh by propagating the transferred textures both locally, within local geodesic neighborhoods, and globally, across symmetric semantic parts. Next, we introduce a context-based generator to learn how to correct and complete the residual appearance information. This allows the network to independently focus on learning the foreground and background synthesis tasks. We validate the proposed solution on the public NTU RGB+D dataset. The code and resources are available at https://bit.ly/36u3h4K.
A STUDY ON COMPUTER TEACHING AND LEARNING LANGUAGE ASSISTED: IMPACTING EDUCATIONAL BEHAVIORISMS

The research study aimed to present an overlook about the use of computer as mediator in language teaching and learning with emphasis on the educational behaviorism impact that this pedagogical involvement has on Second Language Acquisition (SLA) when working with university students. Although many researchers have been conducted in the field of Language Teaching and Learning; none is meant to provide linguistics and computer educational-insights as this research-study attempts to do regarding the applications of methodological trends such as Blended Learning (BL) and Flipped Learning (FL) when working with Spanish language novice learners, whose were required to study this language subject during the COVID-19 period. In this regard, the methodology based on Computer Assisted Modes could satisfy the university demand. This study has used an oriented method based on the inclusion of quantitative and qualitative research techniques to validate the framework of the study. This research criteria involved data collection and revision from prior research-studies and Internet web-pages and a survey conducted among 100 students at Multimedia University, Malaysia. The outcome revealed that the teaching and learning of Spanish language as second foreign language can be properly and efficiently conducted by using computer as mediator into the educational process of teaching and learning the L2. It also showed that the incorporation of tech-applications tends to benefit not only the process of the L2 acquisition but the self-learning which impacts positively the long-learning processes as well. The present study is very valuable for language teachers interested in setting; tracking, tracing and evaluating second language learner’s assignments by using the benefits of the Digital Age.
HOW SK HYNIX APPLIES TRIZ TO INDUSTRY FIELD PROBLEMS

Numerous companies in Korea are developing and introducing various processes and tools to solve the problems they face at the industrial field. Although these are useful in some aspects, the standardized problem-solving process cannot be flexibly adopted to deal with various problem situations in the field, which makes it not applicable to help solve the actual problem, and are used more as a reflection in the report preparation after the problem is solved. In the industrial field, it is necessary to present a flexible guidance that can be used immediately for prompt and accurate problem solving, and companies are trying to solve it by introducing various problem-solving processes. However, the industrial field needs an effective process that can be actually applied and used rather than the various processes introduced each time. This paper introduces SK Hynix's ‘S-Cube’ Problem-Solving Process, which has proven to be flexible and has a rapid problem-solving effect in various problem situations in the industrial field. The 'S-Cube' Problem-Solving Process is an effective methodology that can utilize TRIZ in the industrial field, which provides a guide to quickly and easily analyze the cause of a problem, and makes it easy to find contradictions in a general approach without using complex terminology.
Construction and Application of Chinese Enterprise Knowledge Graph Based on Neural Networks

Due to increased entrepreneurial awareness and policy incentives, the number of enterprises is growing and the relation between enterprises are complex. This poses challenges for enterprise managers and financial practitioners in terms of efficient enterprises supervision and discovery of hidden relation between enterprises. As one of the powerful tools of knowledge engineering, knowledge graph can solve this problem to a certain extent. However, the utilization rate of unstructured data is low in the construction of the enterprise knowledge graph. In addition, in most research work, an aspect of constructing the knowledge graph is emphasized in isolation, the entire processing flow is ignored. In order to solve this problem, this paper uses the deep learning model to propose a process and method for building a Chinese enterprise knowledge graph based on unstructured data on the web, and realizes the application of retrieval and question answering.
ATM Shoulder-Surfing Resistant Pin Entry Using Based Pin and Base Text

The main aim of this system is to develop a secure ATM in future. In general, all the keypad based authentication system having several possibilities of password identification by means of shoulder movements. Shoulder-surfing is an attack on password authentication that has frequently been hard to defeat. This problem has come up with a new solution by following two types of proposal idea one is designing shuffled Automated Teller Machine keypad which displays the shuffled texts in the Display which confuses person who standing near you to guess the password. Another one is to develop the GSM application between the user and Automated Teller Machine counter for communicating a password via the wireless medium. If someone tries to input the old password got by shoulder surfing a message containing the location of ATM and the ATM shutter will be closed.
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA KUCING MENGGUNAKAN METODE NAÃVE BAYES

Cats are one of the most popular pets. Caring a cat, that are not enough just to be given food and drink, but their hygiene and health factors also needed special attention. Cats are susceptible to disease, even some diseases can cause negative effects on humans, for example can cause disability and miscarriage in the fetus (if this infection occurs in pregnant women). The limitations of medical personnel and knowledge in society are the one factors that cause high mortality rates in cats. Therefore, not only catâ€™s owner but society too need to be knowing about diseases that can attack cats. This research aims to build a capable system to provide predictions of catsâ€™ diseases based on their symptoms. The NaA¯ve Bayes Method can be used to produce a prediction in machine learning based on data training, using conditional probabilities as the basis. Another advantage using this method is that can provide a high level of accuracy simply by using a small amount of data training. The results of this research are a building a system that can provide predictions of cats diseases based on their symptoms, and based on the testing results this system can provide accurate results in accordance with data obtained from experts (veterinarians).
English Teaching Methods Used by Student English Forum (SEF) of Universitas Jenderal Soedirman

The aim of this study is to describe English teaching methods used by Student English Forum (SEF) of Universitas Jenderal Soedirman. This is a descriptive qualitative study in which data are taken from interview, observation and documentation. Based on the result of the study, the study finds out that English teaching methods used by Student English Forum (SEF) is effective teaching method. The SEF has four classes i.e. SGSC, TOEFL class, Private class, Story Telling and Speech class. The result of the research found that there are ten methods applied such as Jigsaw, Timeline, Debate, Text-Book, Discussion, Think-Pair-Share, Bilingual method, Grammar-Translation Method, Flash card, and Drilling method. Students can develop their idea and their skill in English. The Jigsaw, Timeline, and Debate method is applied to teach the SGSC class. The Text-book and Discussion method is applied to teach TOEFL class. The Think-Pair-Share, Bilingual method, Grammar-Translation Method, and Flash card are applied to teach Private class, and Drilling method is to teach Story Telling class. The methods applied in SEF can create good progress for Student Activity Unit because they can improve students’ competence and English language skills.
Squared &#120001; 2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations.

Data augmentation is one of the most popular techniques for improving the robustness of neural networks. In addition to directly training the model with original samples and augmented samples, a torrent of methods regularizing the distance between embeddings/representations of the original samples and their augmented counterparts have been introduced. In this paper, we explore these various regularization choices, seeking to provide a general understanding of how we should regularize the embeddings. Our analysis suggests the ideal choices of regularization correspond to various assumptions. With an invariance test, we argue that regularization is important if the model is to be used in a broader context than the accuracy-driven setting because non-regularized approaches are limited in learning the concept of invariance, despite equally high accuracy. Finally, we also show that the generic approach we identified (squared $\ell_2$ norm regularized augmentation) outperforms several recent methods, which are each specially designed for one task and significantly more complicated than ours, over three different tasks.
DevOps Architecture Blueprints

DevOps deals with the entire software development life cycle, starting from requirements gathering through post-production monitoring. The main DevOps concepts and approaches were covered in Chapter 1. In this chapter, we will look at various DevOps architectures.
Learning Resources: Services & Resources for Students: Using a Phone for Class?

This guide features resources available to current SJR State students from the Library, the Academic Support Center, and the College at large.
Verification Potential Of Educational Search Technologies (Big Data) In Semantic Research

The global digitalization of education is changing the process of knowledge transfer, the methodology of education and self-education, new teaching media, as well as Digital Data inclusion in scientific research projects that allow us to bring educational technologies to a new level. Development of Big Data systems, including search engine results and text corpora, opens up new possibilities and allows us to set and solve research problems in an efficient way. With fast sharing of digital technology it perfectly opens up the completely new opportunities for today's researchers in modern teaching activities. The article focuses on the capabilities, verification potential of search engines and the procedure for implementing search queries in Big Data in a semantic research. The author suggests a description of the experimental methodology of semantic research which involves the use of Google / Yandex search engines, which are an effective tool for the semantic structure analysis. Empirical evidence of the effectiveness of this technique is provided as well. The data of search engines Yandex and Google coincide when determining dominant values. At the same time, the data of the Google search system still allows us to determine the semantic boundaries of the studied phenomena more accurate and full, compared with the data provided by the texts corpora.
Delegated RingCT: faster anonymous transactions

We present a modification to RingCT protocol with stealth addresses that makes it compatible with Delegated Proof of Stake based consensus mechanisms called Delegated RingCT. Our scheme has two building blocks: a customised version of an Integrated Signature and Encryption scheme composed of a public key encryption scheme and two signature schemes (a digital signature and a linkable ring signature); and non-interactive zero knowledge proofs. We give a description of the scheme, security proofs and a prototype implementation whose benchmarking is discussed. Although Delegated RingCT doesn't have the same degree of anonymity as other RingCT constructions, we argue that the benefits that the compatibility with DPoS consensus mechanisms brings constitutes a reasonable trade-off for being able to develop an anonymous decentralised cryptocurrency that is faster and more scalable than existing ones.
PENERAPAN STRATEGI CONCEPT-ORIENTED READING INSTRUCTION (CORI) DALAM MENUMBUHKAN PEMAHAMAN KESEJARAHAN SISWA DALAM PEMBELAJARAN SEJARAH(Penelitian Tindakan di Kelas XI IPA 1 SMA Negeri 14 Bandung)

This research is motivated by the lack of students’ historical comprehension in learning history, which indicated by the lack of how students comprehend the text. This research discussed how to developing students’ historical comprehension by using Concept-Oriented Reading Instruction (CORI) Strategy. The aim of this research are for describing the planning of implementing CORI strategy in learning history, explaining the steps to implementing CORI strategy, identifying students’ historical comprehension through the implementing of CORI strategy, and describing the effort to resolved the obstacles in implementing strategi in learning history. There are four indicators of students’ historical comprehension such as; 1) knowledge and understanding of historical events, 2) identify the central question of the historical narrative, 3) critical thingking to examine and utilize the knowledge of history, also 4) historical skill that can be used to study various types of informations to determine the validity of the information. Using the Classrom Action Research with Kemmis and McTaggart design research. Based on the result, the indicators of historical comprehension are 92,05% on the fourth cycle. This research is proving the application of CORI strategy could be used as a solution to developing students’ historical comprehension in learning history in each cycles.Keyword: CORI Strategy, Historical Comprehension, Historical Learning.
LibGuides: Course readings: Access Issues

Stuck on how to find required and recommended readings? This will help. Help to download readings that have been scanned by the Library
Introduction to cyber security

What is cyber security? Why is there a need to study cyber security? What does it mean to study and invest in cyber security these days? What are the tools and technologies available to teach vario...
LEARNING HORTICULTURE WITH TAKE HOME MUSHROOM KITS DURING THE COVID-19 LOCKDOWN

PROBLEM Pre-COVID-19 lockdown (2019), we usually organise a mushroom growing practical in the laboratory (lab). After a lab demonstration, students practice culturing mushroom mycelium, spawn and compost preparation. The compost mixed with spawn in plastic bags are incubated in the Mushroom Research Unit for 2 weeks. Once established, students take the compost bags back home to harvest mushrooms. During the COVID-19 lockdown (2020), face to face laboratory mushroom practicals were no longer possible with social distancing requirements (4 sqm per person). We had to live-stream the practical sessions on Zoom to the students from the lab. We were not satisfied with just live-streaming practicals as the students did not get hands-on experience with growing the mushrooms.PLANDuring the COVID-19 lockdown, the first author was invited to speak on Nick Kilvert’s ABC Urban Castaway series and was interviewed by ABC Radio National and ABC News online about self-sufficiency and people’s ability to hunt, forage and live off the local land. In the ABC Urban Castaway series (Week 3), there was a feature on growing our own mushrooms to be self-sufficient and how this could be an educational experience during the lockdown. Hence, at the end of May 2020, mushroom kits, with established mycelial colony in compost were provided to the students with instructions for care so that they could have hands-on learning experience of growing and eating their own mushrooms at home.ACTIONWe provided the students with a mushroom kit each so that they could practice growing mushrooms as well as a food subsistence during the lockdown. They could also practice time-lapse photography on the mushroom growth stages (from pinning, button and mature stages). If they did a good job, they could get 2 or 3 flushes of mushrooms (usually three flushes are harvested commercially).REFLECTIONThe students learnt how to grow their own mushrooms during the lockdown and post-lockdown as this is a life skill that they can use in the future. Live-streamed practicals provided useful information on how students can collect the spores and produce spawn to grow more of their own mushrooms in the future, becoming potentially self-sufficient in mushrooms! In addition to learning the theory of mushroom production, students gain the life skills to produce their own mushrooms at home.
인공지능시대 교양교육의 방향 -소통 · 공감 능력 제고를 위한 인문학적 교육콘텐츠의 확대-

With a belief that an increase in the actual illiteracy rate in the age of artificial intelligence is related to the decline in learners' empathy and communication skills, this paper aims to consider the directions of liberal education to improve it. Despite the improvement of average educational welfare and levels, the ability to communicate with empathy had decreased. Thus, the cause-and-effect relationship of the phenomenon was analyzed, and the paper intended to suggest that there are some fundamental problems in the liberal arts education in the age of artificial intelligence. It also wanted to highlight the need to expand educational content based on humanities in the age of artificial intelligence by diagnosing the possibility of artificial intelligence humanities. The core content of artificial intelligence humanities should be the one that can identify what human qualities are irreplaceable to expand and strengthen them. To this end, it is necessary to develop and expand humanities-based educational content. Expanding the humanities content, as a way to keep the real illiteracy rate low and strengthen the ability to communicate empathically, has become a necessity, not an option. It is the only alternative to the liberal education in the artificial intelligence era. We should be prepared for a world where humans and artificial intelligence can coexist by actively imagining desirable ways of coexisting and intervening in them. In order to create a society with respect for one another where its members coexist peacefully with artificial intelligence, what is important is understanding and consensus among main players in the education field. Since it is practically impossible for humans to keep up with AI's ability in terms of knowledge acquiring ability and speed, a shift in liberal arts education should be made in a way that it strengthens human-specific abilities such as creativity, autonomy, and critical sensitivity.