Reviewerly/exHarmony huggingface dataset:
Semantic Web Oriented Approaches for Smaller Communities in Publishing Findable Datasets

Publishing findable datasets is a crucial step in data interoperability and reusability. Initiatives like Google data search and semantic web standards like Data Catalog Vocabulary (DCAT) and Schema.org provide mechanisms to expose datasets on the web and make them findable. Apart from these standards, it is also essential to optionally explain the datasets, both its structure and applications. Metadata application profiles are a suitable mechanism to ensure interoperability and improve use-cases for datasets. Standards and attempts, including the Profiles (PROF) and VoID vocabularies, as well as frameworks like Dublin core application profiles (DCAP), provide a better understanding of developing and publishing metadata application profiles. The major challenge for domain experts, especially smaller communities intending to publish findable data on the web, is the complexities in understanding and conforming to such standards. Mostly, these features are provided by complex data repository systems, which is not always a sustainable choice for various small groups and communities looking for self-publishing their datasets. This paper attempts to utilize these standards in self-publishing findable datasets through customizing minimal static web publishing tools and demonstrating the possibilities to encourage smaller communities to adopt cost-effective and simple dataset publishing. The authors express this idea though this work-in-progress paper with the notion that such simple tools will help small communities to publish findable datasets and thus, gain more reach and acceptance for their data. From the perspective of the semantic web, such tools will improve the number of linkable datasets as well as promote the fundamental concepts of the decentralized web.
LibGuides: Global Languages Digital Library: Databases and Other Research Help

E books, audiobooks, magazines, and database resources that are perfect for learning Mandarin, French, or Spanish
EmgAuth: Unlocking Smartphones with EMG Signals

Screen lock is a critical security feature for smartphones to prevent unauthorized access. Although various screen unlocking technologies, including fingerprint and facial recognition, have been widely adopted, they still have some limitations. For example, fingerprints can be stolen by special material stickers and facial recognition systems can be cheated by 3D-printed head models. In this paper, we propose EmgAuth, a novel electromyography(EMG)-based smartphone unlocking system based on the Siamese network. EmgAuth enables users to unlock their smartphones by leveraging the EMG data of the smartphone users collected from Myo armbands. When training the Siamese network, we design a special data augmentation technique to make the system resilient to the rotation of the armband, which makes EmgAuth free of calibration. We conduct extensive experiments including 53 participants and the evaluation results verify that EmgAuth can effectively authenticate users with an average true acceptance rate of 91.81% while keeping the average false acceptance rate of 7.43%. In addition, we also demonstrate that EmgAuth can work well for smartphones with different screen sizes and for different scenarios. EmgAuth shows great promise to serve as a good supplement for existing screen unlocking systems to improve the safety of smartphones.
A Book on Mathematical and Statistical Procedures for Bangla Optimized Intelligence Bot

The Bengali Informative Intelligence Bot (BIIB) is an effective Machine Learning (ML) technique that helps a user to trace relevant information by Bengali Natural Language Processing (BNLP). In this book, we introduce two mathematical and statistical procedures for BIIB based on information of Noakhali Science and Technology University (NSTU) that is significant mathematically and statistically. In the preprocessing part, this book is demonstrated by two algorithms for finding out the lemmatization of Bengali words such as Trie and Dictionary Based Search by Removing Affix (DBSRA) as well as compared with Edit Distance for the exact lemmatization. We present the Bengali Anaphora Resolution system using the Hobbs’ algorithm to get the correct expression of consequence questions. In order to reduce the time complexity of searching questions and reply from inserted information, we have used Non-negative Matrix Factorization (NMF) as the topic modeling technique, and the Singular Value Decomposition (SVD) as to reduce the dimension of questions. TF-IDF (Term Frequency-Inverse Document Frequency) has been used to convert character and/or string terms into numerical values, and to find their sentiments. For the action of chatbot in replying questions, we have applied the TF-IDF, cosine similarity and Jaccard similarity to find out the accurate answer from the documents. In this study, we introduce a Bengali Language Toolkit (BLTK) and Bengali Language Expression (BRE) that make the easiest implementation of our task. We have also developed Bengali root word’s corpus, synonym word’s corpus, stop word’s corpus, and collected 74 topic related questions and answers from the information of NSTU which are actually our inserted informative questions. For verifying our proposed systems, we have created 2852 questions from the introduced topics. We have got 96.22% accurate answer by using cosine similarity and 84.64% by Jaccard similarity in our proposed BIIB.
LibGuides: Test Preparation Materials: Languages

A guide to the test preparation materials available in the OHS Library, Frederick County Public Libraries, and online.
SIGEnergy everything

I recently learned that part of my job as SIGCAS Chair was to weigh in on whether an "emerging SIG" should become an active SIG. In early November I was asked to look at the documentation provided by the emerging SIGEnergy. Everything that I saw was relevant and convincing: The potential and need for the new SIG was amply demonstrated. On the other hand, I had the smallest inkling that the SIG could have a bit more CAS sprinkled in with the energy. In general I want to encourage people in the technological world to consider the social world more strongly. It also seemed like a good opportunity to uphold the responsibility of being the chair of this particular SIG. At any rate, I took pen in hand (metaphorically) and wrote to the principals of the new SIG. Along with encouraging words, I made the basic suggestion that the connection of the social (and the environmental) could be made more explicit: I have found that putting that in writing at the onset makes it more likely to be pursued in the present as well as in the future. I also suggested that some SIGCAS members might like to be involved with the new effort. At any rate, the letter that I wrote and the gracious replies from Professors Keshav and Shenoy --- including the possibility of a cross-SIG working group, an idea that is close to my heart, can be found at https://sigcas/SigEnergy.
Law and regulation for a crypto-market

This paper looks at the importance of the law in a crypto-market and recognises that the market is a legal construct and so is the crypto-market. Private law matters as it provides legal certainty for market transactions. Regulatory intervention is required for a market as it can enhance legal certainty, mitigate legal and market risks and address market failure. Currently there are different types of cryptoassets on the market. There are also several possible cryptoassets that are currently been imagined and could in the future enter the market. This phenomenon has created confusion. Cryptoassets keep developing alongside law and regulation. Using the existing private law concepts to engage in legal taxonomy exercises for these cryptoassets can lead to unsatisfactory results. Equally, applying the current regulatory ethos and framework to them has a significant risk of stifling financial innovation in the crypto-market. A new type of social contract is required to define the stakeholders and their relationships with law and regulation. This new social contract should reflect the desire to cross or even transcend national boundaries, the mistrust in the current centralised and intermediated market structure, the needs of the currently excluded and a reformed power structure of global financial regulation.
M-pembelajaran aplikasi android bagi kursus binaan bangunan

21st Century Learning is the new style of learning which aims to enhance the current education system and to develope students who possess higher order thinking skills and proficient in Information and Communications Technology (ICT). This study was conducted to identify the effectiveness of using m-learning android apps for building courses. Therefore, m-learning using android app has been developed for T&L's purpose in the classroom and thus to identify its effects on the students. This study used quantitative methods and 30 respondents involved in this study. The results showed that students responded positively during the T&L process and the learning environment became more interesting and fun. The effectiveness of the android app in smartphones is now more attractive and user-friendly has made it something that is the choice of all society. In addition, it is also easy to use and able to be owned by society especially students. It is hoped that the android application of m-learning can attract the student’s interest and assist them to study the topic in this Module in a better and more effective way.
MCSO unveils drone unit, newest tool in the fight against crime

The Milwaukee County Sheriff's Office has a new tool in the fight against crime. Deputies debuted their Drone Unit on Tuesday, March 23.
IMPLEMENTATION OF AN AUGMENTED REALITY INFORMATION SYSTEM IN THE CONTEXT OF TEACHERS’ PROFESSIONAL DEVELOPMENT

There is an increasing call for the introduction of emergent technologies in schools in order to promote students’ interest to learn about curricula contents. In particular, mobile technologies are gaining prominence in education because of its increasing capabilities and accessibility. Furthermore, augmented reality is recommended in the literature to engage students and improve their learning achievement. The PlanetarySystemGO is an information system that includes a location-based mobile augmented reality game designed to promote learning about the Universe. When playing the game, in addition to exploring planetary systems, the players have access to information about the learning objects and also need to answer multiple-choice questions about them. Moreover, at each stage of the game such as finding celestial bodies and answering correctly to the questions about them, the players gain points. The information system also includes a back-office that communicates with the mobile application. Through the back-office, teachers may introduce information about the celestial bodies and the set of multiple-choice questions that they intent their students to answer. In addition, they may create different planetary systems by introducing their planets and the respective information and characteristics. In this regard, the PlanetarySystemGO may be introduced in any level of school syllabus. This paper presents the implementation of the PlanetarySystemGO information system in a professional development programme and teachers’ perceptions about this tool to motivate students to learn about the Universe. Based on this experience, we conclude that this information system is adequate to be implemented in schools and to engage the students to learn about the Universe.
Empirical estimation of various data stream mining methods

Online learning is done in order to work on dynamic environments in which the concept tends to change with time and the accuracy of classifiers decreases.The current and previous research is done in static environments, but there is a need of a real time data streaming due to the potentially larger number of applications available in the scientific and business domains.There are several methods used in learning in the presence of dynamic environments like single classifier methods such as batch and incremental learning approaches, classification methods with explicit drift detection method, windowing techniques and ensemble approaches.This paper, investigates these approaches for determining the best suitable method among them.We utilised light emitting diode (LED) data generator for evaluating the performance of the methods.
Super-resolution on remote sensing images

High-resolution ocean remote sensing images are of vital importance in the research field of ocean remote sensing. However, the available ocean remote sensing images are composed of averaged data, whose resolution is lower than the instant remote sensing images. In this paper, we propose a very deep super-resolution learning model for remote-sensing image super-resolution. In our research, we target satellite-derived sea surface temperature (SST) images, a typical kind of ocean remote sensing image, as a specific case study of super-resolution on remote sensing images. In this paper, we propose a novel model architecture based on the very deep super-resolution (VDSR) model, to further enhance its performance. Furthermore, we evaluate the peak signal-to-noise ratio (PSNR) and perceptual loss of the model trained on the natural images and SST frames. We designed and applied our model to the China Ocean SST database, the Ocean SST database, and the Ocean-Front databases, all containing remote sensing images captured by advanced very high resolution radiometers (AVHRR). Experimental results show that our model performs better than the state-of-the-art models on SST frames.
CYBERCRIME ORDEAL IN NIGERIA SECURITY FIRMAMENT

Cybercrime involves making use of computers or other Information Communication Technology devices as well as the internet by individuals to commit crimes in cyberspace. This has caused monumental damage to the image of the country in spite of the fight against corruption and unending efforts of the present administration to reposition the country in the committee of nations in its own style. Some of the numerous types of cybercrimes perpetrated in Nigeria include fraud, identity theft, phishing, hacking, and different categories of cyber fraud. This paper concisely examines the nature of cybercrime in Nigeria and how the crime is being committed by a vast majority of Nigerian youths. The causes of cybercrime in the nation such as poverty, peer pressure, unemployment, amongst other factors are examined in the paper. With the growing rates of cybercrime in the country, cyber and human security may be gravely threatened. The paper concluded that, there may be upsurge in cybercrime rate if the menace is not rigorously addressed with the level of unemployment and poverty in the country. There is a need for cybercrime to be minimized if not diligently dealt with by the government, its law enforcement, security agencies and other professional bodies. The paper recommended that government security agencies need to keep up with technological and security advancements. It will always be a losing battle if security professionals are miles behind the cybercriminals. Hence, issues of unemployment, poverty, and re-orientation of the citizenry should be prioritized beyond mere propaganda and politicization.
AN ASSESSMENT OF CYBER SECURITY THREATS AND THE NATIONAL SECURITY QUESTION IN NIGERIA

This paper is to assessed cyber security threats and the questions of national security in Nigeria. This was borne out of the growing cyber security threats such as kidnapping, calculated murder, theft, terrorism and other vices that has evolved in relation to the increasing use of internet solutions in the country. The paper argued that identifying the nature of cyber security threats and its effect on national security is crucial to identifying options for mitigating the cyber security threats facing the nation. To this end, the methodology adopted for the collection, analysis and interpretation of relevant data was developed after review of the extant of literature. Specifically, the survey research design was adopted with an interview of 6 key informants from chosen security organisation using the convenience sampling method. After review of the qualitative data, the findings of the research support the conclusion that cyber security threats significantly affected national security. The same formed the basis for the recommendations of the paper.
Data Storage and Processing Information System in a Website-Based Quality Assurance Agency (BPM) (Case Study: National University): Data Storage and Processing Information System in a Website-Based Quality Assurance Agency (BPM) (Case Study: National University)

At this time technology is a must in advancing performance in every organization and various other activities. One example of the application of technology that will be explained in this study is the design of information storage and data processing systems at the website-based quality assurance agency (BPM) at Nasional University. UPM by processing and storing it in the system to upload regulations made based on each access of UPM and online will be able to see the results of the Rector's Decree in public and can be downloaded as a PDF file. Previously in making reports from the Chancellor's Decree and other regulations, it still applied a manual system which could not be seen publicly and would take a lot of time and be less flexible. If UPM has made regulations for the Chancellor's Decree, it can be seen publicly where other UPMs can see the report of the Rector's Decree that has been made. In designing this web-based BPM system, the author uses the PHP programming language for the idea server and MYSQL for the database server. In addition, the Captcha system is used to verify first when logging into the BPM system. The purpose of the BPM system can be used as flexible processing and storage of regulations, making it easier to help speed up the process of activities more quickly.
LibGuides: LibGuides Website Tips: Remove the name of the guide

This guide accompanies PALNI's Website Style Guide and focuses on assisting you to create a custom website in LibGuides
Prospect Prediction Model Of Indonesian Telematics Medium Large Size Enterprises Using Deep Learning Approach

Analysis of business prospects is an important part of predicting a country's economic conditions. Currently, the prediction of prospects for medium-big sized enterprises (MLE) in the telematics sector has not been widely researched and represented as a factor of economic development in Indonesia. In fact, in accordance with the development of the Industrial Revolution 4.0, the telematics sector business is one of the pillars that is a priority to be developed in Indonesia. The main purpose of this study is to construct the prediction model for prospects in the Indonesian telematics LME sector using a deep learning approach. We used data from the 2016 National Economic Census as many as 2500 preprocessed data. The deep learning approach in this study used a multilayer perceptrón (MLP) architecture, 17 attributes, 3 hidden layers and 5 target classes. The attributes in question include province, business owner education, legal entity status, length of operation, business network, total assets, business lava, number of workers, difficulties, partnerships, marketing innovations, comparison of profit with the previous year, and development plans. The target class of prospects are excellent, good, neutral, bad and very bad. The optimal results were achieved in epoch 50 conditions with a learning reate of 0.2 and an accuracy rate of 98.80%. Based on the prediction model, this business prospect can be used as a reference for the development of MLE in the telematics sector in Indonesia. This prospect model still lacks visualization and attribute analysis that affects the classification of prospects for Indonesian telematics MLE. Research development opportunities can be carried out through the integration of the whitebox model in the deep learning model and complementing a web-based graphical user interface (GUI) to make it easier for stakeholders to develop strategies based on the strength of attributes that affect the prospects for MLE Telematics Indonesia. This is expected to boost the competitiveness of the prospects for Indonesian telematics MLE.
IMPROVING STUDENTS READING COMPREHENSION BY APPLYING PRE-QUESTIONING TECHNIQUE ( An Experimental Study at the Second Grade of SMAN 1 Glumpang Tiga)

The objective of the study is to find out whether does the pre-questioning technique improve the students reading comprehension or not .The population of this research is the second grade of  SMAN1 Glumpang Tiga. The sample of this study are one class was as experimental class (XI- IIS) where the writer applied Pre-Questioning technique in teaching learning activity, which consist of 20 students and the other one was as control class (XI-MIA 3) which taught by applying  other technique, consisted of 20 students including . The instrument used in this study was a set of written test which was used for pre test and post test. Pre-test was given before the writer held an experimental teaching. Post test was given after the writer did an experimental teaching. The result of this research showed that  in experimental class the mean of pre-test score (O 1 ) was 55,10, the mean of post-test (O 2 ) was 73,30 ,Furthermore in control class the mean of pre-test score (O 1 ) was 53,80 , the mean of post test (O 2 ) was 55,20 . It indictates that there was significance progression between students’ pre-test and post-test score in experimental class after teaching reading comprehension  by applying pre-questioning technique.  Or from the table 7 ( in the table of independent sample test ) we can see the significant value (sig) in the experimental class was 0,000 < 0.05,  so there is an increase in students' reading comprehension which is very significant on the reading comprehension by applying pre-questioning technique. It accepted the alternative hypothesis while rejected the null hypothesis. Base on the data analysis, showed that applying pre-questioning technique was significantly improve the students’ reading comprehension.
ANALYSIS OF CROWDSOURCING INTERNET PLATFORMS AND THEIR IMPLEMENTATION IN THE EDUCATIONAL ENVIRONMENT

the article describes the essence of implementing the project approach using crowd sourcing as an innovative component in higher education institutions. Innovative approaches to teaching disciplines are described, and the idea of creating a crowd platform for higher education institutions (DSTU) is revealed.
Hyperentangled Time-bin and Polarization Quantum Key Distribution

Fiber-based quantum key distribution (QKD) networks are currently limited without quantum repeaters. Satellite-based QKD links have been proposed to extend the network domain. We have developed a quantum communication system, suitable for realistic satellite-to-ground communication. With this system, we have executed an entanglement-based QKD protocol developed by Bennett, Brassard, and Mermin in 1992 (BBM92), achieving quantum bit error rates (QBER) below 2$\%$. More importantly, we demonstrate low QBER execution of a higher dimensional hyperentanglement-based QKD protocol, using photons simultaneously entangled in polarization and time-bin, which has a distinct advantage over BBM92. We show that our protocol is suitable for a space-to-ground link, after incorporating Doppler shift compensation, and verify its security using a rigorous finite-key analysis.