Reviewerly/exHarmony huggingface dataset:
Mathematics and the Prestige of the School Unit

The scientific innovation of the research is determined by the elaboration of the psychopedagogical forming fundaments for the prestige of the educational institution: the essence and structure of the pedagogical phenomena are researched: the image of the school, educational management; the structural-functional correlation in the continuous training and the general knowledge, the pedagogical, psychosocial one, the functions and roles performed by the manager for the improvement of the school image. Technology is a reality of the current times we live in, a constantly changing field that can bring enormous benefits in the field of mathematics, but teaching mathematics cannot be done online for too long, if you want performance. The aim of the paper: to establish the variables of a psycho-pedagogical experiment that consisted in applying two questionnaires regarding math class in the online environment and the components of the image of the educational institution, respectively image realization of the school. Research objectives: studying the literature; determining the identification elements of the problems regarding the math class in the online environment; determining the elements for identifying the image of the educational institution and the criteria for assessing the school image.
An Intelligent Automatic Career Management System for Efficiently Identify and Recruit the Potential Candidate to an Organisation

The manpower data management system project authorizes the user to and process the whole recruitment effort of an organization. Realizing the vital role of Recruitment process plays within an organization, this project is designed to maintain Resume Databank, process and suggest suitable candidates fitting the recruitment requirement. This project is entitled “An Intelligent Automatic Career Management System for Efficiently Identify and Recruit the Potential Candidate to an Organisation” is an outline to utilize PHP whereas the front end and My SQL cause the Back end. To control the job listing and recruitment process of any type of organization. Reduce manual workflow process and helps in maintaining candidate profile efficiently. An online consultancy maintenance system project is precisely depicted as per the needs and qualification of the Placement mentor and job providers, contain feature of the applicants, Client institution / Organizations, Job Openings, Interview details etc. This project is position at developing an online employment website for the Placement Details for job seekers. The administration is a web application anything will be gain throughout the establishment and out of doors also with genuine login as long as. This system is frequently worn as a web Job Portal for job seekers. Job hunter set down has an obligation be able to exchange their guidance in the form of a digest. Guests/Company agent logging in can besides approach/explore any information put up by Job aspirants.
South Korean Political Consolidation through a Political Trust approach in Overcoming Conflict on the Korean Peninsula

Abstract. South Korea has multiple interests and has set goals in its foreign policy. But the pursuit of these interests and goals, especially with regard to stability on the Peninsula, is often faced with challenges. Provocative actions from North Korea are one of the serious issues and behaviour that South Korea does not want. Therefore, South Korea has carried out a number of foreign policies in an effort to prevent provocative actions from North Korea, one of which is through the political trust approach taken by President Park Hyun-Geu. By using qualitative methods and explanative analysis methods through document or literature analysis approaches, this article attempts to identify South Korean foreign policy in overcoming conflicts on the Korean Peninsula. The article shows that the concept of Trust Politic is the key word for foreign policy and politics in the Park’s administration era. The basis of the political philosophy of trust or political trust is manifested in the trust process on the Korean Peninsula (Korean Peninsula Trust Process). As a way to build trust between the two countries, South Korea has carried out three stages as a trust process: the first, the humanitarian assistance for the poor and neglected people in North Korea; the second is, the exchange and cooperation between the two countries in the social, economic, and cultural fields; the third is, the Korean Vision Project to build and establish a single market community on the Korean Peninsula. In the third stage, the Vision of the Korean Project is used as the reference in conditioning the accumulation and progress of mutual trust, especially in the issue of the denuclearization of North Korea.
An Efficient Method for Spammer and Fake User detection on Social Networks

Social networking sites engage millions of users around the world. The users' interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for daily life. The prominent social networking sites have turned into a target platform for the spammers to disperse a huge amount of irrelevant and deleterious information. Twitter, for example, has become one of the most extravagantly used platforms of all times and therefore allows an unreasonable amount of spam. Fake users send undesired tweets to users to promote services or websites that not only affect legitimate users but also disrupt resource consumption. Moreover, the possibility of expanding invalid information to users through fake identities has increased those results in the unrolling of harmful content. Recently, the detection of spammers and identification of fake users on Twitter has become a common area of research in contemporary online social Networks (OSNs). In this paper, we perform a review of techniques used for detecting spammers on Twitter. Moreover, a taxonomy of the Twitter spam detection approaches is presented that classifies the techniques based on their ability to detect: (i) fake content, (ii) spam based on URL, (iii) spam in trending topics, and (iv) fake users. The presented techniques are also compared based on various features, such as user features, content features, graph features, structure features, and time features. We are hopeful that the presented study will be a useful resource for researchers to find the highlights of recent developments in Twitter spam detection on a single platform.
EYE C U CCTV - WIT Technology / Nurhani Suraya Mokhranim

Nowadays, people are concerning about their safety because crimes are kept on increasing every day. Therefore, WIT Technology decided to provide an improved CCTV called EYE C U CCTV to the market in order to solve customer’s problems regarding the images and audio produced by the CCTV. This CCTV offers a high-resolution image and a highly sensitive audio with a better technology. Moreover, our target market will be based in Kuala Lumpur since the company is located in Kuala Lumpur. Thus, WIT Technology is targeting high-income workers and that would be 20% from the total population of working adults in Kuala Lumpur as their target customer. The differences between EYE C U CCTV to the other competitors are the product is user-friendly because it is easy to install and the design is compact and lightweight. The technology used which is Audio-Visual Technology and it is claimed to be the easy technology to understand so make it easier for the customers. The price also is affordable compared to the price of other CCTV. WIT Technology estimate the profit on the 2nd year to gain it by RM 2 000 000.00. The management team in WIT Technology consisted of the chief executive officer (CEO), administrator, marketing manager, financial manager, operational manager and the technician. WIT Technology hired hard working and experienced employee to ensure the business is running efficiently.
SECURED DATA TRANSMISSION FOR TAX SYSTEM USING BLOCKCHAIN TECHNOLOGY WITH AN ENHANCED ITERATIVE HONEYPOT ALGORITHM FOR DATA ENCRYPTION

Recently, the mechanism of authentication for the transaction system is yet complex. The recent system of tax operates as a centralized server. Thus, there are huge chances of attacks from intruders. For an efficient tax system, the exchange of information among the tax administration is a significant factor. So, to communicate between the various users and to improve the transparency of the tax system, the use of blockchain methodology was introduced for the tax systems. Blockchain technology has special benefits and it is used in several fields and the tax system is no exception. The utilization of blockchain methodology in the area of the tax system is comparatively unique and is not broadly employed till now. Anyhow, the blockchain methodology in the area of tax systems faces some constraints while considering the security and privacy factors. Several attacks focus on the blockchain networks namely consensus attack, delay attack, Sybil attack, etc. In our work, we target the Sybil attacks that create multiple fake identities in the system data. Hence, in this paper, we proposed novel data encryption and decryption algorithm with blockchain technology for securely transferring GST data. Initially, the GST data is preprocessed and authenticated using blockchain Smart Contract (SC). We proposed an Enhanced Iterative Honeypot Algorithm (EIHA) for data encryption and decryption, which can enhance the deception proficiency of the conventional honeypot by generating repeated keys for the data and by using honeytoken. Further, Blockchain Trust Model (BTM) is used for predicting the malicious nodes during the data transfer between the blockchain networks. The performance of the proposed system is analyzed by comparing it with various existing encryption algorithms in terms of security level and execution time. Our proposed method proves to be better than the existing methods.
Analysis of twitter sentiment in COVID-19 era using fuzzy logic method

The sentiment is an assessment of attitudes towards certain events or things.Collecting opinion is known as a sentiment from existing data. This techniquecan also help analyze the opinions given by people in assessing certain objects.The best available source for gathering sentiment is the internet. In the era ofthe Covid-19 pandemic, many people access social media, especially Twitterto give their opinion on certain objects. Twitter is known as the social mediathat is accessed by users to post their opinions online. By using soft computing,especially fuzzy logic, it is possible to design, create and build bots that cananalyze user opinions on Twitter. This model is used for data sentimentanalysis on Twitter. The results showed that the sentiment analysis during theCovid-19 period was still dominant with positive tweets. As many as 48% oftweets are positive, 30% are negative tweets and 22% are neutral tweets. Theuse of applications to identify tweet sentiment during Covid-19 uses acombination of fuzzy logic methods with artificial intelligence. With the helpof the Twitter API, you can get tweet data during the Covid-19 pandemic soyou can find out the frequently used tweet sentiments.
Using the Capacity and Low Latency of Mobile Edge Clouds for Community Applications

A community edge cloud is developed to use high capacity, low latency mobile edge clouds to realize community-wide, shared virtual desktop computing. Initial latency experiments show 10 ms latency tolerance for video streaming applications.
LibGuides: LEGO® Buddies: Home: LEGO® Buddies

LEGO® Buddies is a virtual program for elementary schoolers from Alamance County Public Libraries. This program meets once a month on Zoom. For more information and to join the group, contact Ms. Samantha at shunter@alamancelibraries.org.
Hand Gesture Recognition System using Convolutional Neural Network

Gestures provide the ability to interact with machines efficiently through Human computer interaction; this can be accomplished by creating interfaces which perform gesture recognition, thereby automating tasks. Hand gesture recognition is a type of gesture recognition that is very useful to automate tasks for the specially challenged. Challenges in this area are complex background, camera angle, and illumination. It uses GMM technique for background subtraction and VGG16 architecture, trained on images captured using a camera, to achieve a fast and robust classification system for gesture recognition, as demonstrated by experiments. An F1-score above 92% is obtained for all classes.
Proctored Exam Platform

Online education is trending worldwide and gaining tremendous popularity in India as well. Many schools, colleges and universities are switching over to the online mode of conducting classes and exams. During live or online classes, teachers and students interact virtually. Conducting classes online is an easier task as compared to conducting online exams. Conducting online exams and their supervision can be little tricky and cumbersome as the students need to appear for the exams from different/remote locations in different time zones or maybe in different languages. The traditional mode of conducting exams is not very efficient and hence a lot of malpractices can happen which will fail to uphold the rules and regulations. Hence there has to be a certain methodology to conduct exams. When it comes to the concept of proctoring and evaluation, there are very few technologies which are carrying out the process flawlessly. Secure Browser mechanism with Remote Proctoring, During an exam activity is going on, candidate might try to open a new browser or window to search for the answers on the internet. This hampers the integrity of the Online Exam. The secure browser mechanism prevents the user from opening any other window during examination activity. It ensures that candidate’s browser windows are locked for other activities. Hence, this feature makes it impossible to even switch to a new window. This helps in securing the exam from unauthorized cheating.Considering the concept of prediction that is used in technology and the amount of data available today, we will be able to build an efficient model which handles both conducting and evaluating a student’s performance in an exam. Since most of these problems are real world problems, it will act as a very useful contribution to the society. In an eagle eye’s perspective, the domain of this project will be related to online exam Proctoring along with evaluation and prediction of marks.
Research Guides: Holding Space Community Learning Page: Home Page

In this guide, you will find resources and guidance on how to Hold Space in your classroom.
Business Model Canvas : Merella / Maisarah Abdul Rashid

Merella is a hand-free umbrella where make the user’s both hand free such as hikers and travellers. Their hand need to be free because they using all their energy to get to the destination.Next, our product customer are people who always busy with their phone and for those who needs to carry many things including the umbrella. This is because, Merella can protect both the users and their belongings in the waterproof backpack to make it safer. Students also can use Metrlla since it is affordable to everyone
Boosting with crossover for improving imbalanced medical datasets classification

Due to the common use of electronic health databases in many healthcare services, healthcare data are available for researchers in the classification field to make diseases’ diagnosis more efficient. However, healthcare-medical data classification is most challenging because it is often imbalanced data. Most proposed algorithms are susceptible to classify the samples into the majority class, resulting in the insufficient prediction of the minority class. In this paper, a novel preprocessing method is proposed, using boosting and crossover to optimize the ratio of the two classes by progressively rebuilding the training dataset. This approach is shown to give better performance than other state-of-the-art ensemble methods, which is demonstrated by experiments on seven real-world medical datasets with different imbalance ratios and various distributions.
Information Seeking Behaviour of UG Students of Arts and Science Colleges in Tirunelveli District, Tamil Nadu, India

The libraries are not only collecting and providing access to printed materials, but also managing ever-increasing amount of electronics resources, online indexes, databases, e-journals etc., the e-books are increasing day by day and are available in the internet. The present paper deals with information seeking behaviour of UG students of the present age of technology in the Arts and science Colleges of Tirunelveli District. It also analyse the utilization level of e-journals, characteristics of e-journals, types of e-journals, steps involved in accessing e-journals the role of library professionals, its merits and demerits. To collect the data, 150 questionnaires are distributed, and 146 filled questionnaires were collected from the students of Arts &amp;Science colleges in Tirunelveli District. The study finds out the positive attitude of UG students’ information seeking behaviour in the cyber age.
An Overview of Blockchain Technology Concepts from a Modern Perspective

Blockchain consists of all information concerning digital transactions that are stored and even is accessible to all users. Still it is pondering that through technology, it is possible to access this database and see a digital negotiation that took place between two users (but with identity in secrecy), without geolocation restrictions, and, since everything is encrypted, is possible to know that that transaction occurred and that it is recorded. This is a component of an aggregated registration system, meaning that the data is not registered in a single location, but apportioned, divided, and separated among the several computers linked to it. The digital structure in the form of blockchains makes the technology virtually inviolable; in the face of attempted invasion, it would be necessary to obtain control of at least 51% of the nodes to effectively modify by consensus. In health, based on the availability of sensitive data from patients on a shared network, assessing all their examinations and medicos’ histories transited in a digitally safe way, as well as the exchange of experiences among doctors with studies of global diseases, forms of diagnosis, medications are most used, and treatment can be decentralized, creating big data of global health, among other information that is important to be shared, can transit with digital security via blockchain technology. Therefore, this chapter provides an updated overview of blockchain technology, also known as the trust protocol, given the digital security and reliability it provides for a network, addressing application and approaching from a succinct bibliographic background, summarizing the full potential of technology.
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models

Reducing the latency variance in machine learning inference is a key requirement in many applications. Variance is harder to control in a cloud deployment in the presence of stragglers. In spite of this challenge, inference is increasingly being done in the cloud, due to the advent of affordable machine learning as a service (MLaaS) platforms. Existing approaches to reduce variance rely on replication which is expensive and partially negates the affordability of MLaaS. In this work, we argue that MLaaS platforms also provide unique opportunities to cut the cost of redundancy. In MLaaS platforms, multiple inference requests are concurrently received by a load balancer which can then create a more cost-efficient redundancy coding across a larger collection of images. We propose a novel convolutional neural network model, Collage-CNN, to provide a low-cost redundancy framework. A Collage-CNN model takes a collage formed by combining multiple images and performs multi-image classification in one shot, albeit at slightly lower accuracy. We then augment a collection of traditional single image classifiers with a single Collage-CNN classifier which acts as a low-cost redundant backup. Collage-CNN then provides backup classification results if a single image classification straggles. Deploying the Collage-CNN models in the cloud, we demonstrate that the 99th percentile tail latency of inference can be reduced by 1.47X compared to replication based approaches while providing high accuracy. Also, variation in inference latency can be reduced by 9X with a slight increase in average inference latency.
Research Guides: Business: Business websites

Learn about library research tools and resources specifically geared towards Business courses including citation and evaluation help, peer-reviewed articles, eBooks, and more!
The Effect of The Use of Snake Media on Students Learning Interests

The purpose of this study to determine the effect of media usage snake and ladder on student interest in Primary School. This study used a Kausal design. This research was conducted in Class 4 SDN Katulampa 1 Bogor City in the odd semester of the 2020/2021 school year. The analysis technique used is the analysis prerequisite test which includes the normality test, homogeneity test, then the research hypothesis is carried out using the t-test. Based on the results of research in grade 4 SDN Katulampa 1, there is a significant influence between media use snake and ladder with student interest in learning, this can be shown from the results of the correlation coefficient (rxy) of 0.78 which shows that there is a strong influence of the variable use of snake and ladder media on student interest in learning and the tcount is 8,480. This is also evidenced by the regression equation Ŷ = -58,23 + 1.5 X, meaning that each increase in the use of snake and ladder media will increase student interest in learning by 1.5 units. Besides, the results of the coefficient of determination r 2 = 0.60, which means that the snake and ladder learning media contributed 60% to the interest in learning, while other factors contributed 40%. This shows that there is an effect of using the snake and ladder media on students' interest in learning
Human Rights - A Vaccine for the Pandemic

After the emergence of a pandemic, the world's next task of immediate concern is the discovery of a vaccine to tackle the scourge. Before this discovery, it is Human rights that fill the vacuum. It is relevant before, during and after the pandemic. Much more, Human rights cover the field; it makes provision for people's health without jeopardizing other rights. Using COVID-19 as a reference point, the paper principally considers to how Human rights can mitigate the deadly impact of the pandemic while exposing the inadequacy of the ordinary pandemic restrictive legal response.
Analysis of School-wide AI Basic Education in the National College of Technology

AI skills are important skills that all people, not just engineers, need to acquire in the future. AI skills may be very interesting for students in informatics departments, but not so much for students in non-informatics departments. To implement basic AI education in schools that include both informatics and non-informatics departments, it is necessary to consider each department’s characteristics, as well as the learning topics and teaching tools. In this paper, we report the results of our basic AI education using MATLAB in the National College of Technology (KOSEN).