Reviewerly/exHarmony huggingface dataset:
CacheInspector

Infrastructure-as-a-Service cloud providers sell virtual machines that are only specified in terms of number of CPU cores, amount of memory, and I/O throughput. Performance-critical aspects such as cache sizes and memory latency are missing or reported in ways that make them hard to compare across cloud providers. It is difficult for users to adapt their application’s behavior to the available resources. In this work, we aim to increase the visibility that cloud users have into shared resources on public clouds. Specifically, we present CacheInspector , a lightweight runtime that determines the performance and allocated capacity of shared caches on multi-tenant public clouds. We validate CacheInspector ’s accuracy in a controlled environment, and use it to study the characteristics and variability of cache resources in the cloud, across time, instances, availability regions, and cloud providers. We show that CacheInspector ’s output allows cloud users to tailor their application’s behavior, including their output quality, to avoid suboptimal performance when resources are scarce.
Trust optimization in the single web services using a neuro-fuzzy system

Due to improvement of Internet, employing web services is developed. By utilizing web services, distributed applications can exchange information. Trust is a main criterion to choose the proper web service as web services selection is a main issue which is still absorbing researchers to conduct research works on this field and analyze it. Due to the significant of this problem, neuro-fuzzy system is used to optimize the trust of single web services. Eight factors such as QoS, user preferences, subjective perspectives, objective perspectives, credibility of raters, bootstrapping, dynamic computing of trust and independency are considered in the considered neuro-fuzzy system. To achieve a trust optimization, 8 membership function various neuro-fuzzy systems are considered in this paper. Ultimately, the obtained results illustrates that the root mean square error, the precision amount, the recall amount and the F score amount of the neuro-fuzzy system is: 0.0873 %, 0.986, 0.988 and 0.987.
Implementation of a post-quantum cryptography algorithm on an FPGA board

Cryptography (from Ancient Greek words kryptos and graphein, which together mean secret writing) is the set of theory and techniques used to guarantee a secure communication between sender and receiver. A communication is secure if there is no risk for the message to reach an unwanted receiver. Cryptography originates in the military, from the need to secretly communicate with allies. Coding the message, in such a way that it is no longer understandable for who does not have the key to decrypt it, solves the In literature, the encrypted message is called ciphertext. Coding and decoding are the operations to obtain the cyphertext from the plaintext and vice versa. The encryption algorithm has to be as robust as possible. The more robust it is, the more difficult it is to understand the key to decrypt the cyphertext. Today, finds application everywhere. Electronic commerce, chip-based payment cards, digital currencies, computer passwords, implanted medical devices make use of it. This means that even devices with limited storage and poor computational capabilities must be able to code and decode information in a robust and fast way. Modern cryptosystems make use of public key algorithms, which use a public key and a private key. As the name suggests, the public key is known to all and is used to encode the message. Instead, the private key is secret. Only the recipient, which needs to decrypt the message, owns it. Although these two keys are linked one each other, it is impossible to recover the private key knowing only the public one. RSA is an example of public key cryptography. The security of this cryptosystem is based on the so-called factoring problem. This operation is computationally not sustainable by a classical computer. In 1994, the mathematician Peter Shor invented an algorithm, which is able to break this kind of cryptosystems if executed by an ideal quantum computer. Studying and developing cryptosystems able to resist to quantum computer attacks is urgent and inevitable. A candidate for post-quantum cryptography is McEliece cryptosystem. It is based on the practical difficulties of decoding a generic linear code. The original version of this algorithm uses binary Goppa codes and requires to store in memory large matrices. This makes problematic encrypting and decrypting in embedded systems with limited hardware resources. Variants that use LDPC or QCLDPC codes solve this They require less memory and computational effort. One of them is the LEDApkc algorithm. The decoding technique of LEDApkc is called Q-Decoder. The aim of this thesis is the creation of a prototype on fpga which implements a Q-Decoder.
Optimal Representative Sample Weighting

We consider the problem of assigning weights to a set of samples or data records, with the goal of achieving a representative weighting, which happens when certain sample averages of the data are close to prescribed values. We frame the problem of finding representative sample weights as an optimization problem, which in many cases is convex and can be efficiently solved. Our formulation includes as a special case the selection of a fixed number of the samples, with equal weights, i.e., the problem of selecting a smaller representative subset of the samples. While this problem is combinatorial and not convex, heuristic methods based on convex optimization seem to perform very well. We describe rsw, an open-source implementation of the ideas described in this paper, and apply it to a skewed sample of the CDC BRFSS dataset.
ANALISIS PENGGUNAAN EJAAN DALAM MENULIS KARANGAN NARASI PADA SISWA KELAS V SD NEGERI 136 PEKANBARU

This research is motivated by the lack of students' understanding of the systematic or procedures for writing spelling. This study aims to describe the use of spelling (use of capital letters, writing words and the use of punctuation) in writing narrative essays in fifth grade students of SD Negeri 136 Pekanbaru. This type of research is descriptive quantitative research. This research was conducted in class V SD Negeri 136 Pekanbaru. The population in this study were all fifth grade students of SD Negeri 136 Pekanbaru, totaling 97 students. The sample used in this study is saturated sample, which is a sampling technique that uses all members of the population. Based on the results of the study it was found that the use of spelling in writing narrative essays of fifth grade students of SD Negeri 136 Pekanbaru was classified in both categories with the acquisition of an average score of 63.35.
Design of Face QR Code Recognition System based on PCA

Abstract This article discusses the face two-dimensional code recognition technology, using the PCA algorithm to study the dimensionality reduction processing process of the face image. Based on the analysis of QR encoding and decoding methods, the generation of face two-dimensional codes is realized. Choose 140 pictures in ORL face database as the experimental data set, study the face two-dimensional code recognition system, and realize a process of face recognition. The experimental results show that the face image data has a large dimension, and the principal component analysis method can be used to obtain the key data. Through the experiment, PCA can be used to reduce the dimensionality to obtain the effective information of the face, and to encode and decode the two-dimensional code. The ZXing two-dimensional code open source library called by the experiment has high experimental efficiency, which is beneficial to improve the operating efficiency of face two-dimensional code recognition and facilitate the machine to complete the simulation.
Super-resolution using 3d convolutional neural networks in CT scan image of COVID19

In the medical field, the accuracy and quality of the image led to a rapid increase in using deep learning models-based architectures convolutional nerve CNN where three-dimensional convolutional neural networks (3D) CNNs utilized to analyze the medical images. This paper provides the pre-processing steps for the medical images then fed to the CNNs 3D. The objective of the proposed model is to operate from low-resolution to reach high-resolution images by using Keras with TensorFlow as wallpaper for training; this training is work separately on the different scaling factors for reconstruction. Two datasets of lung tomography data are used in this paper, the first dataset is Kaggle.coved2020 for Corona patients, and the second is the Iraqi dataset for Corona patients 2020. The proposal method that demonstrated improvements over the bicubic upsampling and FSRCNN peak signal-to-noise ratio (PSNR) 37.10 dB with 40.47 dB respectively.
KEMAMPUAN MENENTUKAN DAN MEMPERBAIKI KATA TIDAK BAKU DALAM WACANA KELAS VIII SEMESTER GENAP SMP PGRI I BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The purpose of this study is to describe the ability to determine and correct non-standard words in the discourse at Bandar Lampung I PGRI I Middle School, this study aims to determine students' ability to determine and improve writing not standardized in discourse. This study uses a descriptive normative method. while the technique of data collection is by performance / assignment techniques. The population of this study amounted to 40 students and the number of samples was determined by the entire population, namely 40 people. Analyze data using percentages. The instrument of this research is determining and correcting non-standard words in the discourse. The results showed that the average student's ability to determine and correct non-standard words in a discourse of 73 which was classified as sufficient level. When detailed based on the aspects assessed, the average ability of students to determine and improve non-standard words in the basic word aspects is 75 which is classified as good. The average student's ability to determine and correct non-standard words in aspects of affixed words amounting to 74 which are classified as sufficient levels. The average student's ability to determine and improve non-standard words in the preposition aspect is 76 which is classified as good.
Effectiveness of Using Technology Based Songs to Enhance Vocabulary Competency among Year Two Undergraduate Students at Universiti Malaysia Sabah (UMS)

The general standard of English among Malaysian students is poor considering that they receive 11 to 13 years of formal English lessons at both primary and secondary levels. As a result, they often need to re-take the Malaysian University English Test (MUET) in order to fulfill the English proficiency requirements for university entry. The unsatisfactory level of students’ English has attracted the attention of educators, becoming a topic of concern for the government and local communities. Advances in technology that have signaled Industrial Revolution 4.0, prompted the researchers to explore the effectiveness of employing technology-based songs to enhance vocabulary competency among students taking English subjects. A total of 65 students took part in a seven-week research study based on a quasi–experimental design. From the sample, 35 students were placed in the experimental group and taught English vocabulary via music videos as a form of intervention. The remaining 30 students were placed in a control group and taught via traditional methods. Pre and post-tests involving vocabulary questions were distributed to all 65 students. Paired Sample T-Tests were then conducted and analyzed: the findings indicated that the mean score for the experimental group was statistically higher than that for the control group. This research may help educators to gain more ideas about employing technology to deliver teaching more effectively and has indirectly demonstrated more effective procedures for enhancing 21st Century skills which align with the aims of Industrial Revolution 4.0.
Kannada Morphological Analyser and Generator Using Natural Language Processing and ML Approaches

The Morphological analyser & generator (MAG) plays an important Natural LanguageProcessing application and are compulsory apparatuses in Machine Translation.  In the work proposed, MAG for Kannada language were created utilizing rule based just as factual methodology by fusing morphological data and characteristics of the language. The classification of words into various paradigms dependent on their inflections and orthographic changes, structuring the morphological framework, rule and corpus creations are the primary difficulties in the advancement of generator.The MAG tool is constructed for Kannada texts using machine learning strategies and produced theoutcomes using numerouskinds of eight input data sets. The validation of GUIs and processing of tool is carried out and the snapshots along with the tabulated and graphical performance analysis are published in the work.
A blockchain-based hub that helps to identify counterfeit products in the Indian drug supply chain

In this project, we'll describe a blockchain technology-based prototype that will be utilized in the supply chain. There are presently many fraud activities and corruptions happening within the Drug supply chain at present, because the drug sometimes doesn't reach the other sections of the society, and sometimes the society gets a fake drug. This project focuses on developing a blockchain prototype that is used to record all the supply chain states. The project features a rest service that gives interaction with blockchain and its smart contract. The project features a private blockchain which is Hyperledger blockchain, which provides all the concepts of blockchain.
Attendance system using face authentication

Now a days the smart attendance management system using face detection techniques. Daily attendance marking is a common and important activity in schools and colleges for checking the performance of students. Manual Attendance maintaining is difficult process, especially for large group of students. Some automated systems developed to overcome these difficulties, have drawbacks like cost, fake attendance, accuracy, intrusiveness. To overcome these drawbacks, there is need of smart and automated attendance system. We are implementing attendance system using face recognition. Since face is unique identity of person, the issue of fake attendance and proxies can be solved. The system uses local binary pattern face recognition technique as it is fast, simple and has greater success rate.
THE ROLE AND IMPACT OF DIGITIZATION IN THE EDUCATION OF ELEMENTARY SCHOOL STUDENTS

The emergence and development of digital technology have caused many changes in society. All social changes have to do with school, so that over time they are reflected on the educational institutions as well. School in order to progress and fully justify it's role, must be in line with the times, every thing that society places very quickly becomes an integral part of upbringing and education. Digitization is one of them. Converting something from the analog to the digital form was not job of the school. For a long time, teaching dates back to established methods of work, communication and interaction but also to material and technical basis. In recent years in the midst of an increasing number of digital devices, there has been change in the way schools work. Everything that was once done is gradually being pashed out and something completely new, different, innovative is coming. The position of students is changing, relations in teaching and the former means of work being replaced by today's tablet, mobile phones, laptops, smart borders, etc. It is all something that represent a huge change and every change has it's role but also it's impact. In this case, the role of these innovations in digitization in teaching is, among others things. Talking about the impact, it can be positive or negative depending on how something is used. It all depends on ourselves. If we are aware of the concept of digitalization and if we are aware of all it's characteristics, we will be able to get the best out of it. If we do not know her flaws, it is very possible that in time we will become her slave or addict. In the following we have listed in more detail all those important things related, on the one hand for the upbringing and education of the primary school students and on the other hand of digitalization, because ... today one does not go without the other and we are witnessing this because of this planet situation more precisely the pandemic due to which we were forced to educate students through the mediation of the digital technology
iPads for teaching and learning mathematics: collaborative group-work in an engineering-appropriate setting.

Middlesex University's Department of Design Engineering and Mathematics is piloting the use of iPads in teaching mathematics to students on our suite of engineering and mathematics programs.In this talk I will illustrate how we've been using iPads to teach and learn mathematics with some example content and I will share the results of our pilot so far:In Phase 1 (beginning June 2018) staff have been developing iPads as lecturing tools. For engineering students our approach teaches small groups in a workshop setting by working on practical problems in an engaging way: * iPad Virtual whiteboard lets us handwrite commentary and calculations on top of prepared slides. * wireless presenting means we can engage in small group discussions and immediately share findings with the wider class. * Augmented Reality tools bring abstract mathematical objects directly to the workbench.We use the iPads to record video and audio of everything presented for upload to the VLE.In Phase 2 (beginning September 2020) we started issuing iPads to students. We found key benefits to student engagement: * students collaborated more by using virtual whiteboards. * students sought feedback more frequently, and we were able to provide it more quickly! * a common hardware and software deployment improved access to the course and provided a uniform experience for students. I will also briefly address the logistical issues of deploying iPads.
DEVELOPING CAKE APP AS DIGITAL MEDIA FOR TEACHING SPEAKING IN JUNIOR HIGH SCHOOL

This research was aimed to develop appropriate, interesting and attractive speaking digital media for ninth grade students of SMP Kreatif Medan. Due to the result in the form of product, this study was conducted by using Research and Development (R & D) method which adapted from Borg and Gall (1989). The subject of this study was the ninth grade students of SMP Kreatif Medan. In conducting this research, the procedures were gathering the data and information, conducting the need analysis, designing the first draft of media, revising the media, and producing the final product as the digital media. The instruments of collecting data were the combination of two strategies; interview and questionnaires. The interview result was analyzed as qualitative data and the questionnaires analyzed as quantitative data. The result of the study were a digital media to be used in teaching speaking. In the percentage form, the average score of experts’ validation in term of material aspect was 95.3%, and media aspect was 96.6% these scores were categorized “Very Good”. It means the developed media for teaching speaking was appropriate for the ninth grade students of SMP Kreatif Medan.
Abstract #1000585: The Evaluation of Fractures Following a Fragility Fracture in Real-World Setting

To evaluate fractures following index fracture (fx) in real-world setting.
Enhanced view-independent representation method for skeleton-based human action recognition

Human action recognition is an important branch of computer vision science. It is a challenging task based on skeletal data because joints have complex spatiotemporal information. In this work, we propose a method for action recognition, which consists of three parts: view-independent representation, combination with cumulative Euclidean distance, and combined model. First, the action sequence becomes view-independent representations independent of the view. Second, these representations are further combined with cumulative Euclidean distances, so the joints more closely associated with the action are emphasised. Then, a combined model is adopted to extract these representation features and classify actions. It consists of two parts, a regular three-layer BLSTM network, and a temporal attention module. Experimental results on two multi-view benchmark datasets, Northwestern-UCLA and NTU RGB + D, demonstrate the effectiveness of our complete method. Despite its simple architecture and the use of only one type of action feature, it can still significantly improve recognition performance and has strong robustness.
ANALYSIS AND DESIGN OF WEB-BASED POSYANDU INFORMATION SYSTEM (CASE STUDY: POSYANDU MANDALA 2)

In the implementation of the Posyandu, posyandu cadres have recorded and implemented immediately after the posyandu activities were carried out. Recording is done manually by using a standard format that is in accordance with the Posyandu Information System (SIP). The implementation of this manual provides some data that are not valid, delays in processing data and making performance reports on posyandu activity reports, both by posyandu which also involves relevant agencies, Puskesmas and Kelurahan. To overcome this problem, design a posyandu information system using the waterfall system development method and analysis method using the PIECES method. The purpose of this research is to develop a system that is still manual so that it becomes a web-based posyandu information system that can facilitate the processing, searching, and reporting of data on Mandala Posyandu activities 2. The results of this study are to produce a system that can be used by posyandu cadres to help find parents in seeing the growth and development of the ball easier. The analysis and design made can facilitate the delivery of information to posyandu participants and posyandu cadres. Suggestions for developing system design into web-based applications using the programming language PHP and MySQL. Keywords— Posyandu, Information Systems, Toddlers, PIECES.
[Audio-visual Emotion Regulation System Based on TGAM Module].

OBJECTIVE Based on the TGAM PCB module, a system of emotion control using audio-visual feedback is designed. METHODS TGAM collects EEG information through the electrode in contact with the forehead skin. The system analyzes the user's emotion through the STM32F103ZET6 of the main control chip, and finally controls the control end of the system to regulate the user's emotion. RESULTS It can be seen from the test results that the system can precisely recognize the user's emotions, and at the same time effectively adjust the user's emotions from both audio-visual aspects. CONCLUSIONS The system has high recognition accuracy and good adjustment effect.
اکیسویں صدی اور آن لائن اردو لائبریریاں: تحقیقی و تنقیدی جائزہ

The propagation of global village has been multiplied due to the usage of Information Technology (I.T) in every field of life. I.T has also provided equal opportunities to people to create, participate or share any type of soft-form data they need or like. Therefore, this paradigm shift has not only generated worldwide acceptance of e-book for people but also a No. of books like Encyclopedia Britannica have been converted from hardcore print to e-book publishing only. In accordance with challenges of 21st century, e-books and online libraries of Urdu are going to increase by leaps and bounds as a good gesture for its survival and propagation. In this article, a critical analysis of online/digital Urdu libraries and challenges of 21st century is brought into limelight.
LibGuides: Advertising Resources: Advertising Collections

This guide is intended to help Advertising students and anyone interested in Advertising research locate resources for assignments, projects, and research.