Reviewerly/exHarmony huggingface dataset:
CNNs Framework for Group Activity Recognition

Human group activity recognition has drawn the attention of researchers worldwide because of the significant role it plays in many applications, including video surveillance and public security. To ensure high detection accuracy, current state-of-the-art tracking techniques require human supervision to identify objects of interest before automatic tracking can take place. Activity recognition in humans is one of the active challenges that finds its application in numerous fields such as, medical health care, military, manufacturing, assistive techniques and gaming. Due to the advancements in technologies the usage of smartphones in human lives become inevitable. The sensors in the smartphones help us to measure the essential vital parameters. These measured parameters enable us to monitor the activities of humans, which we call as human activity recognition. In this System, we present a framework based on convolutional neural networks (CNNs) for group activity recognition.
A new computerized method of detecting leukemia

Currently, blood problems are diagnosed by looking at tiny images of blood cells. The classification of certain blood-related ailments can be aided by identifying blood abnormalities. This report describes a preliminary investigation into the development of a method for detecting leukaemia kinds using microscopic images of blood samples. Image analysis is crucial because diseases may be recognised and diagnosed more quickly. Other disease control, surveillance, and prevention methods can then be implemented.
Demystifying Hate Speech under the PEPUDA

The factual matrix that is considered in each hate speech case differs from that in the next. However, certain factors always remain key in the process of balancing the different constitutional rights at play: who the victim is, who the perpetrator is and the nature of the expression. Additional factors to be considered in deciding whether an expression constitutes hate speech include: historical associations; who the utterer is as against the victim(s); the audience that is addressed and where the utterance is made; and the prevailing social conditions. How South African courts and the South African Human Rights Commission factor in these specific issues in assessing whether an utterance constitutes hate speech is examined in this contribution. Applicable international law principles and comparable foreign law reveal certain areas of the South African hate speech protection requiring refinement.
WhatsApp como espacio académico de la Educación Superior en Cuba/WhatsApp as an academic platform for Higher Education in Cuba

The WhatsApp Messenger application for smart phones has been recognizing in the education as a way to improve teaching-learning processes. However, some authors, taking into account that its study is not completely examined, consider that it will be the object of several researches of educational sciences. In Cuba its uses with educational aims was increasing because of the COVID-19 pandemic, hence it was necessary to research emerging experiences. The present paper has the objective to expose research results as of studying WhatsApp groups in the Faculty of the Social Sciences and Humanities at University of Pinar del Rio “Hermanos Saiz Montes de Oca”. The research was developed from a qualitative methodological approach and a phenomenological design. It was used research techniques as: words and ideas association and interviews, along with researchers' logs and literature review for to understand study object and results discussion. The qualitative analyzes of data show four dimensions: functional, affective, content and values. The main result revealed that functional category was prevalent between students and professors followed the affective and values ​​categories. The participants concur that use of application was extended to scientific and academic area. In the main conclusion was established that WhatsApp groups are socio-cultural spaces close to its collective management for to be in parallel communicated and define process form participation and interdependence.
Sources Of Education Funds In School Review From The Perspective Of The Indonesian Education Financial System

Basically the 1945 Constitution has mandated that the fulfillment of the right to education is the responsibility of the state. That is, normatively the state should be the party most responsible for the fulfillment of the right to education. In any case, the state should not waive its responsibility for the financing of education. On the other hand, the state through the government must continue to disseminate education financing by referring to standard standards, especially regarding education components, curriculum, teaching and learning processes, and graduation competency targets. The use of education funding must be regulated because apart from APBN/APBD funds, education funds can also be collected from the community through educational institutions. There are 7 (seven) sources of education financing, namely: Sources of funds from the central government, regional governments, parents, foster parents, community groups, students themselves and sourced from foundations. In this research, the method used is library research by collecting information and data with the help of various materials in the library such as reference books, similar previous research results, articles, notes, and various journals related to the problem to be solved. Activities are carried out systematically to collect, process, and conclude data using certain methods/techniques in order to find answers to problems faced by activities in research. In this research, the method used is library research by collecting information and data with the help of various materials in the library such as reference books, similar previous research results, articles, notes, and various journals related to the problem to be solved. Activities are carried out systematically to collect, process, and conclude data using certain methods/techniques in order to find answers to problems faced by activities in research. In this research, the method used is library research by collecting information and data with the help of various materials in the library such as reference books, similar previous research results, articles, notes, and various journals related to the problem to be solved. Activities are carried out systematically to collect, process, and conclude data using certain methods/techniques in order to find answers to problems faced by activities in research.
Evaluation of ICANN's Uniform Domain-Name Dispute-Resolution Policy

The subject of (ICANN's), The Internet Corporation for Assigned Names and Numbers Uniform Domain-Name Dispute-Resolution Policy is of great importance, because (ICANN) has made extensive and important efforts in resolving web address disputes, via the means of the Uniform Policy for settling such disputes, in which, it relied on a set of principles and rules to resolve such disputes, to organize the network. Through which, bypassing the problem of regional laws, and specifying the roles, and this Policy was characterized by its specificity in dealing with certain types of disputes, in addition to its special nature that cannot be described as arbitration or mediation. Although, the problem revolves around that when the Policy was put into practice, and its principles and rules where initially implemented, many observations appeared in its work due to the lack of some of its texts, so it was necessary to address the deviation of the Policy via a comprehensive review of all its texts, in a way that guarantees neutrality, and eliminates faulty application, which requires appropriate adjustments that would guarantee its ultimate results.
Impact of Bitcoin on Select Crypto Currencies – A Study

The present study has been emphasized on the growth of the Bitcoin and its impact on select crypto currencies.The study has considered the secondary data from the period 2016-2017 to 2020-2021.The study has considered the bivariate correlation and the result reveals that the selected crypto currencies are having the significant relationship with bitcoin.The ordinary least square method has been applied and it observed that the growth of the bitcoin investments is having significant impact on the selected crypto currencies.The study observed that crypto bench mark -Bitcoin having the dominance on the other crypto currencies.
PREDIKSI TINGKAT KEJAHATAN BERDASARKAN ARTIKEL BERITA NASIONAL MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM): PREDIKSI TINGKAT KEJAHATAN BERDASARKAN ARTIKEL BERITA NASIONAL MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)

Crime is any act or act that is economically and psychologically detrimental, violates the laws and regulations in force in the Indonesian province, as well as social and religious norms. Society opposes it because it can be interpreted as a crime that violates laws and social norms. Research This study aims to predict criminal acts which include narcotics, murder, theft, robbery and maltreatment. The data was taken from online media websites such as detik.com, okezone.com, tribunnews.com and kompas.com. The crime data was taken using a scraping technique. The method used in this research is the Support Vector Machiner algorithm by utilizing the python programming language with jupyter tools. From testing data testing as much as 30%, it shows a dataset with trend, seasonal and residual variables using the support vector machine algorithm with the Radial Basis Fauction kernel resulting in RMSE of 3,132 on murder crime data, 0.32 on prediction of robbery crimes, 2,017 on crime prediction cases. theft, 2.49 on the prediction of the crime of assault cases and 2.49 on the prediction of the crime of narcotics cases. Thus, from the results of model testing, it can be concluded that the trend, seasonal and residual variables are accurate and have the lowest RMSE value
Front-running attacks in a blockchain-based trading system for electricity in prosumers communities.

Nowadays the continuous increase in the world energy consumption is bringing to the attention of everyone the problem of sustainability, since this demand still relies mainly on non-renewable energy sources. In this context, smart energy grids are emerging, as they allow to better exploit the distributed energy resources (DER), which are based instead on a renewable and thus more sustainable energy production. The thesis points out the front-running vulnerabilities and proposes prevention strategies to mitigate possible attacks in a blockchain-based trading system for electricity in prosumer communities. An investigation of the blockchain front-running literature is presented in order to define the problem in the analysed project. A complete redesign of the smart contract is performed to implement front-running prevention strategies and to improve the performance in term of computational complexity. In addition, a new auction management approach to include electricity storage capabilities together with selling strategies is introduced to achieve a complete decentralised auction system and better exploit blockchain properties. The thesis demonstrates that the front-running problem has to be evaluated on a case by case basis to propose custom solutions. In particular, the results prove that tailored front-running prevention strategies do not affect the functioning and the performance of the system.
Cooperative learning model talking stick type: To improve speaking skills?

This research is motivated by problems that occur in IA class SD Negeri 2 Percobaan, namely the average speaking ability of students included in the low category. The research objective is to improve students’ speaking skills through the cooperative learning model of Talking Stick types. This research uses Classroom Action Research (CAR) using the Kemmis &amp; Mc Taggart model. The subject of this research was class 1A of SD Negeri 2 Percobaan Yogyakarta. The results show that the average pre-cycle of speaking skills is 57, including skilled enough. After the action in the first cycle, speaking skills increase to 69.5 in the skill category. After the action in the second cycle, speaking skills increase again to 81.0 and are categorized as very successful. So, the conclusion of this research is that cooperative learning model of the Talking Stick type in each learning process can improve students’ speaking skills.
Fraud Detection System using Multi-tiered Authentication Scheme

The importance of authentication for all online bank transactions cannot be over-emphasized especially in this present age of technological advancement where internet frauds are all over. Online transactions are prone to attack when done with single- or two-ways authentication schemes. Ensuring a strong level of security has to do with a combination of attributes, encryption and authentication channels and credential storage. Although, several types of research were carried out on authentication and security level for web-based transactions, however, few researches have investigated multiple authentication schemes that combine securely and efficiently attribute asynchronously. This study enhanced the expansion of one-tier and two-tier authentication scheme that combines three levels of authentication, which include PIN, one-time password (OTP), a notification from email and graphical password for a web-based banking operation. Multi-tiered authentication scheme makes access to unauthorized banking operation difficult for an adversary. The system attained a high degree of accuracy when tested because adversaries were unable to break the three levels of authentication
Application of Kohonen Self-Organizing Map to Search for Region of Interest in the Detection of Objects

Today, there is a serious need to improve the performance of algorithms for detecting objects in images. This process can be accelerated with the help of preliminary processing, having found areas of interest on the images where the probability of object detection is high. To this end, it is proposed to use the algorithm for distinguishing the boundaries of objects using the Sobel operator and Kohonen self-organizing maps, described in this paper and shown by the example of determining zones of interest when searching and recognizing objects in satellite images. The presented algorithm allows 15–100 times reduction in the amount of data arriving at the convolutional neural network, which provides the final recognition. Also, the algorithm can significantly reduce the number of training images, since the size of the parts of the input image supplied to the convolution network is tied to the image scale and equal to the size of the largest recognizable object, and the object is centered in the frame. This allows to accelerate network learning by more than 5 times and increase recognition accuracy by at least 10 %, as well as halve the required minimum number of layers and neurons of the convolutional network, thereby increasing its speed.
Information transmission system based on visual recognition between internal and external networks under physical isolation

At present, the most commonly used and simplest physical isolation scheme is equipped with two sets of computers to access the internal network and the external network respectively, but this brings great inconvenience to the information exchange and use. Based on this, this paper designs and implements a system of file transfer between internal and external network devices under physical isolation based on visual recognition. On the basis of the realization of QR code picture transmission, it also realizes the QR code video transmission mode for the transmission of large files, which further improves the transmission efficiency. In addition, the system increased according to the instruction to fetch another computer pictures or database information and back to the original computer function, more in line with the actual use of demand.
COVID-19 PANDEMIC: CHALLENGES AND THE WAY FORWARD IN NIGERIA SECONDARY EDUCATION

The eruption of the coronavirus disease known with code, Covid-19 Pandemic affected every sphere of human life such as: businesses, carrier advancement, religious gathering, education and other social activities globally including Nigeria. This study examines covid-19 pandemic: Challenges and way forward in Nigerian secondary education. However, of all the sectors of governance, the educational sector was highly affected because of the ill preparation due to inadequate funding, despite the 24% UNESCO recommendation to the sector especially the primary and secondary school levels. The covid-19 pandemic out break hits badly on school programmes which made it impossible for students to attend classes, accessed school library materials and write examinations. These make it imperative to seek for measures to cushion the effect of the pandemic on secondary school programmes. Base on the findings, the researchers recommended among others that the Nigerian government should encourage the learners (students) to participate vehemently in distance learning through adopting multiple learning modalities such as television, radio and SMS-based mobile platform like zoom. Federal government should through the ministry of Education initiate innovative strategies that would help to enhance the effective use of electronic library in secondary schools for access to current information and studying materials.
Channel State Information Based Cryptographic Key Generation and Hardware in Loop Smart Parking Occupancy Simulator Design for Intelligent Transportation Systems

Author(s): Phan, Kelvin Huy-Trung | Advisor(s): Al Faruque, Mohammad A | Abstract: Due to the sensitivity of the information exchanged in Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication, generating secret keys is critical to secure these communications. As nature is open access, distributed keys are more vulnerable to attacks in the vehicular environment. Physical layer key generation methods using wireless channel characteristics show promise in preventing such attacks, generating keys independently and removing the need for distribution. In this thesis, we present a novel key generation approach in a real vehicular environment based on Channel State Information (CSI), including a new algorithm for key bit extraction. We implemented our algorithm using USRP B210 Software-Defined Radio (SDR) boards and the industry-standard V2X communication protocol: IEEE 802.11p. The proposed key generation protocol uses the CSI values of each sub-carrier as a source of randomness, within the use of a new QAM demodulator quantizer (QAM-Dem-Quan) for bit extraction. We compared our technique to state-of-the-art Received Signal Strength (RSS)-based approaches, and show that it achieves better performance. Moreover, we reached a min-entropy of approximately 70\% for the generated keys and a key generation rate of less than 150 $\mu$s/key, with key lengths ranging from 8 to 128 bits. The remaining paper deals with a proof-of-concept agent-based simulation for parking scenarios that leverages open source libraries for an open source solution.
Hybrid Method Based on Stacking for Sentiment Analysis of Indonesian Tweet Responding to COVID-19 Pandemic

Sentiment analysis is opinion mining that focuses on learning about sentiments, attitudes or emotions in a text. Public opinion regarding COVID-19 can be processed to get a sentiment so that it is useful in making a decision or policy. In this study, sentiment analysis was done using a stacking method on Indonesian-language tweet data related to COVID-19. Sentistrength_id is used for sentiment labeling on tweet data that has been collected so that sentiment labels can be obtained in the form of positive and negative class. The sentiment analysis carried out on the tweet data resulted in a positive opinion class of 1879 and negative opinion of 1706. From these data the classification was done using stacking of naïve bayes, K-Nearest Neighbor, Linear Regression as base learner and Support Vector Machine as meta learner. The classification result produce a value in accuracy, precision and recall of 85.6%, 86% and 86%, respectively.
O ensino da língua portuguesa através da exploração dos géneros textuais digitais

The texts produced in digital environments are undeniably inherited in print. However, the traits they acquire, consistent with the new space and the new circumstances of written communication, create a hybrid, interactive and participative communicative forms. This article addresses the issue of the need to include, in the teaching of Portuguese, didactic proposals for new textual genres, called digital. In case we consider that all communication develops strongly through digital environments, it will be inevitable to recognize that the teaching of a language must prepare students for the production and understanding of recurrent text genres in the social context and develop competences related to communicational trends and transformations of the associations.
Workshop on ‘Soft Robotics for Biomedical Applications’: Facial Expression Rendering for High Fidelity Robotic Patients

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Training to interpret patients' facial expressions with different genders and ethnicities remains a challenge, taking medical students a long time to learn through experience. Given the liabilities with real patients, Robotic Patients have gained much of an attention in the recent past as one of the potential Simulated Based Education (SBE) methods to train the students. In this talk, I will showcase our first-generation Robopatient with real-time facial expression rendering for abdominal palpation training. This Robopatient consists of a morphable hybrid face called MorphFace which can replicate facial expressions of patients with different gender and ethnic facial identities. I will explain the design approaches of this Robopatient, what we learnt from the user studies and finally potential applications of Robopatients for remote medical diagnosis.
RFID THE ADOPTING ICT IN ACADEMIC LIBRARY

This paper provides a survey on radio frequency identification (RFID) technology. Initially RFID tags were developed to eventually replace barcodes in supply chains. Their advantages are that they can be read wirelessly and without line of sight, contain more information than barcodes, and are more robust. The paper describes the current technology, including the frequency ranges used and standards. With the increasing ubiquity of RFID tags, however, privacy became a concern. The paper outlines possible attacks that can violate one's privacy and it also describes counter measures. The RFID technology did not stop at item-level tagging. The paper also presents current research that focuses on locating and tracking labeled object that move. Since the uses for RFID tags are so widespread, there is a large interest in lowering the costs for producing them. It turns out that printing tags might become a viable alternative to traditional production
Creation and Utilization of Online Resources and Services during Covid-19 Pandemic: A Study of Kendriya Vidyalaya, Bilaspur

This paper highlighted the creation and utilization of ICT resources and services from home during lockdown and explained the various modes of access study materials by the students’ community. The class and subject wise access of study materials of own teachers through Vidyalaya web blogs, have been explained. The profile of KV Bilaspur has been mentioned. The information sources and services of library of Vidyalaya have also been included. The Purpose of providing WEB BASED BLOGS facility and students response has been tabulated. The collected data have been analyzed and presented in the form of table and 2-D Columns. User’s feedback on the execution of these services has been appended. Results and findings related to utilization of online resources and services during COVID19 Pandemic have been tabulated.