Reviewerly/exHarmony huggingface dataset:
Face Identification and Recognition Using AI

Nowadays we are using cab system very much because it can fulfil our needs quickly. The most priorable problems are accidents by drowsiness of the drivers, environmental conditions, vehicle conditions etc. Improper cab driver behaviour leads to increase the probability of accidents occurring. Detecting the driver’s behaviour is one of interested research area. An idea of this project is proposed by AI, it is an three level process i.e., face detection and face recognition using viola jones algorithm.
Comments on Yang and Meng (2020) “The evolution and research framework of carbon footprint: Based on the perspective of knowledge mapping” [Ecol. Indic., 112, 106125]

Yang and Meng (2020) used sub-optimal search keywords and methods to publish a bibliometric paper in Ecological Indicators. There are two questionable parts to the original paper: a filter could be used to retrieve a more accurate set of data and the use of sub-optimal search keywords. There is a big difference between the two results that were searched using search keywords (“carbon footprint”, “carbon footprints”, and “carbon footprinting”) which we suggested and (“carbon footprint”) which authors used. Finally, an appropriate method and search keywords were presented.
Estetika Bunyi Repetisi dalam Kumpulan Puisi Jauh itu Dekat Karya Tri Mulyono dan Implikasinya terhadap Pembelajaran Bahasa Indonesia di SMA

The purpose of this research was to describe the repetition in the collection of the poetry Jauh itu Dekat by Tri Mulyono and and describe its implications for learning Indonesian in high school. The research method used qualitative descriptive. This study used an objective approach. The data source in the study was 19 poems the collection of the poetry Jauh itu Dekat karya Tri Mulyono, published in 2020 by Satria Publisher. The research instrument is the researcher. The collection technique uses reading techniques and note taking techniques. Data analysis technique used analysis descriptive by means of reduction, categorization, and conclusions. Test the validity of the data using the validity of advisors who are expert advisors in the field and discussions with colleagues. The results showed that the eight repetition in the collection of the poetry Jauh itu Dekat by Tri Mulyono. The eight repetitions are epizeuxis, tautotes, anaphora, epistrophe, simploke, mesodiplosis, epanalepsis, and anadiplosis. The used of repetition is specially designed by the writer collection of the poetry Jauh itu Dekat by Tri Mulyono to give a rhythm that adds to the aesthetic value of the poem.
Instant Financial Update Provider Application

Department of Financial Services (DFS) oversees several key programs/initiatives and reforms of the Government concerning the Banking Sector, the Insurance Sector, and the Pension Sector in India. Therefore, the concerned officials need to be updated in respect of any news or changes that happen in these financial matters and the information should be available on mobile/email.The proposed solution is a one-stop platform to connect different sectors and hierarchies of the banking system and government which can reduce the communication barrier and provides one-click information access and enables instant transmission of circular and information updates irrelevant of the holidays and working hours. The solution keeps data security as its top priority with the help of keystroke biometrics and also ensures 24*7 data surveillance.
Ensemble meta classifier with sampling and feature selection for data with multiclass imbalance problem

Ensemble learning by combining several single classifiers or another ensemble classifier is one of the procedures to solve the imbalance problem in multiclass data. However, this approach still faces the question of how the ensemble methods obtain their higher performance. In this paper, an investigation was carried out on the design of the meta classifier ensemble with sampling and feature selection for multiclass imbalanced data. The specific objectives were: 1) to improve the ensemble classifier through data-level approach (sampling and feature selection); 2) to perform experiments on sampling, feature selection, and ensemble classifier model; and 3) to evaluate the performance of the ensemble classifier. To fulfil the objectives, a preliminary data collection of Malaysian plants’ leaf images was prepared and experimented, and the results were compared. The ensemble design was also tested with three other high imbalance ratio benchmark data. It was found that the design using sampling, feature selection, and ensemble classifier method via AdaboostM1 with random forest (also an ensemble classifier) provided improved performance throughout the investigation. The result of this study is important to the ongoing problem of multiclass imbalance where specific structure and its performance can be improved in terms of processing time and accuracy
The ethical imperatives of the COVID-19 pandemic: An analysis from the ethics of data

In this review, we present some ethical imperatives observed in this pandemic from a data ethics perspective. Our exposition connects recurrent ethical problems in the discipline, such as, privacy, surveillance, transparency, accountability, and trust, to broader societal concerns about equality, discrimination, and justice. We acknowledge data ethic’s role as significant to develop technological, inclusive, and pluralist societies.
MagRing: Semi-biometric Interaction Utilizing Magnetic Ring Based-on Static Authentication of Magnetometer Sensor in Smartphone

The Smartphone is one of the most famous and most popular devices in modern times that need to protect private information. Biometric techniques are one method to authenticate Smartphones. However, the difference of ages (i.e., Elder persons, Children) affects the authentication process. In this paper, the present implementation of this technology on a mobile device is in catch using a properly valued magnet intensity (a magnetic ring) taken as a semi-biometric. It is based on influencing Magnetometer sensor embedded in the new generation of mobile devices. It can demonstrate the authentication process using a magnetic ring from a magnetometer, sensing the data from the unique per device created in the space around the device by a magnet held in hand. The position of the magnetic ring stably when carrying the device produces a change in the magnetic field that the magnetic sensor detects and can be used as the basis for authentication. Since the magnetism is implemented with different users and the magnetization value of the ring, it can provide a wider choice of authentication, and it cannot be easily copied because the ring is specific to the user on a specific smartphone.
A COMPARATIVE STUDY ON THE SECURITY OF WEB CONTENT MANAGEMENT SYSTEMS

The present paper aims to compare and analyze the security of the most common three open-source Web Content Management Systems: WordPress, Joomla! and Drupal. The paper is focused on describing the main vulnerabilities regarding the security of CMS platforms and reflects relevant data that can be used to avoid the most common attacks. In the digital era, where all the information is stored on web servers to be accessed from everyone, security and confidential data protection is an important part when it comes to choosing  the right CMS for our needs.
Agrobot : An agricultural advancement to enable smart farm services using NLP

Presently we receive around 5 lakh calls on our krushi call center (KCC) every month. This shows that our farmers want relevant information today and are willing to ask for it. However, expanding call centers is very expensive and requires huge capacity building. That is why we must develop intelligent chatbots where farmers can ask in their local language any query and our bot will give a meaningful reply. The project will involve a lot of natural language processing because we can’t expect farmers to type commands to our bot (and anyways no one likes to talk to a machine!). So we can’t restrict the farmer’s interaction with our bot as press 1 for this, press 2 for this and so on. We have to make it as human-like as possible. Our chatbot will benefit from the localized context information about the farmer. Example, there would be a dedicated chatbot for say paddy growers in Seemandhra or orange growers of Jhalawar which will benefit from the specific knowledge there. For example, it would know what kind of varieties farmers typically grow, what are the diseases they are prone to, what are the solutions, what are the market prices there, what is the weather information and so on. This would also make our task a lot simpler and our bot more intelligent. Initially we are just looking to develop a bot for a specific context to give a proof of concept.
AUTOMATED CRIMINAL IDENTIFICATION BY FACE RECOGNITION USING OPEN CV CLASSIFIER

The Main purpose of this system is to note and acknowledge human’s face throughout a public place that the system can differentiate an issue and foreigner and a lot of investigate whether the far-famed person is criminal or not. This system presents an amount face recognition victimization associate degree automatic police investigation camera. The automated identification system for criminal information was projected victimization superb ‘Haar-feature’ primarily based cascade classifier. Face detection classifier unit shared by public places, like Open pc vision. The strategy of face recognition used is fast, durable and proper. This system is going to be useful for security departments to acknowledge criminals from their face that area unit fast, durable and proper.
Chaotic Oscillator Based True Random Number Generator

In this study, a CCII+ based chaotic oscillator design, based on a set of chaotic equations that has not been physically implemented before, and a random number generator design, using this analog chaos generator, is realized. The dynamic behavior of the chaotic oscillator has been observed by PSPICE simulations and confirmed by experimental studies. The proposed CCII+ based analog chaos circuit has been used as the entropy source of a true random number generator to show that it can form a basis for different chaotic applications. The designed random number generator has successfully passed the NIST tests.
Investigating the Impact of IoT on Business Performance

The objective of the study was to determine the opinion of the employees and employers in the manufacturing sector who were using IoT for business operations. Further to identify the impact of IoT on business performance. Herein for the descriptive research design was adopted. The data was collected from 67 respondents from 38 different business units who were using IoT. The data were collected using a structured questionnaire. From the analysis carried out t was understood that the respondents agree that IoT is required for the current business environment. Further, it was found that IoT significantly contributes to decision making, easy data storage and retrieval, helps in identifying and rectifying the mistakes quickly, Improves operational efficiency and better system monitoring easily. Also, it can be interpreted that IoT significantly impacts the Decision Making, System monitoring, Competitiveness of the business unit and operational efficiency. Thus it can be overall concluded that in the Current era IoT is essential for better business performance.
Trust Aware Data Aggregation mechanism for malicious node identification in WSN based IoT Environment

As a promising paradigm, the increase in the productivility of Internet of Things (IoT) has contributed largely to the design of modern technology. WSN is an integral part of IoT and founds its application almost in every area of human life such as healthcare, agriculture. Moreover, data collected through these sensors is vulnerable for few application such as health domain , defence domain etc. Hence data collection and analysis is a major challenge. Data Aggregation is considered to be influential and effective mechanism for avoiding the issue of data redundancy and efficient designing of IoT. Despite of such successful implementation and plethora of work in data aggregation, security remains the top priority. Hence, in this research work we design and develop TADA (Trust Aware Data Aggregation) mechanism to provide the efficient and secure environment for data aggregation. In this mechanism, in order to achieve the trade-off between privacy and accuracy, noise are added to data, accuracy parameter and malicious node identification parameter is introduced; further considering these two general constraint is designed and optimization is carried out for malicious node identification and. Furthermore, TADA is evaluated considering the three important parameter i.e. malicious packet identification rate, throughput and packet misclassification rate
Multiversal views on language models.

The virtuosity of language models like GPT-3 opens a new world of possibility for human-AI collaboration in writing. In this paper, we present a framework in which generative language models are conceptualized as multiverse generators. This framework also applies to human imagination and is core to how we read and write fiction. We call for exploration into this commonality through new forms of interfaces which allow humans to couple their imagination to AI to write, explore, and understand non-linear fiction. We discuss the early insights we have gained from actively pursuing this approach by developing and testing a novel multiversal GPT-3-assisted writing interface.
Cyber Risk Ordering With Rank-Based Statistical Models

In a world that is increasingly connected on-line, cyber risks become critical. Cyber risk management is very difficult, as cyber loss data are typically not disclosed. To mitigate the reputational risks associated with their disclosure, loss data may be collected in terms of ordered severity levels. However, to date, there are no risk models for ordinal cyber data. We fill the gap, proposing a rank-based statistical model aimed at predicting the severity levels of cyber risks. The application of our proposal to a real use case shows that the proposed models are, while statistically sound, simple to implement and interpret.
Application of Information Technology in Basic German Teaching Reform

with the development of the times, information technology has penetrated foreign language teaching. In basic German teaching, the integration of information technology has opened up a new teaching model, which also makes teaching reform inevitable. Starting from the analysis of the current situation of basic German teaching, this paper discusses the manifestation of the combination of information technology and German teaching reform.
Analysis Of Factors Responsible For The Better Performance Of Employees Private Organisation In Chennai City

Performance of the employees in the private sector in the city of Chennai its covered by the are reason, but all kinds of organisation must to concentrate the performance in the level of basic to the top level management. The management people are also advice to the current situation is not the easy task of the business people, so we want to provide a right way for the right kinds of employees. The level of employee’s motivation is very essential one in the field of human resources. The human resource management does not have any limitation for the service proving functions. The article contain the scope and objectives behind the study is to find out the important factors which are responsible for the better performance of employees. This study also contains, chi-square test table, findings, suggestions and also its limitations.
TEACHER DIGITAL LITERACY IN THE CONTEXT OF ENGLISH DISTANCE LEARNING FOR PRIMARY SCHOOL PUPILS

The mass transition to distance learning worldwide was a challenge to review federal state educational laws' requirements on competence-based indicators of educational achievements, standards, and recommendations. Primary foreign language education is no exception. The article discusses the main methodological issues of implementing distance English learning in primary schools; analyzes the degree of teachers' readiness to work in the conditions of education digitalization; describes the structure for creating electronic content and didactic, interactive aids.As a result of existing international approaches analysis in digital didactics, the main difficulties in the field of knowledge and the digital technologies use in distance learning are identified. In the distance format, primary school teachers faced involving children in the academic language process and the inability to use new technologies. There was a need to revise traditional teaching methods and optimize them into interactive online content. To effectively select methods of distance learning, a survey was conducted, in which 70 primary school foreign language teachers from Russia and some countries from South-East Asia and Europe took part. The study showed that only 25 percent of teachers have digital skills.In the course of the study, the author developed the methodological recommendations "The Digital learning EduHacker: Tips for English teachers in Primary school" for the acquisition of the necessary digital skills and abilities of the teaching staff; worked out the online course in Primary school for English teachers; described a work's algorithm in services for creating and using interactive educational content, using it in teaching activities.As a result of the study, the following factors have been identified that affect the effectiveness of the distance learning introduction in the educational foreign language process: - staff training in digital literacy, - interactive electronic content development, - improvement of learning processes, - improving the academic results of schoolchildren and their educational motivation, - enhancing the parents and schools interaction, - communication in the school network and joint projects implementation, - improving the organization and educational process management.
Designing an Completeness Medical Record Document Website Using Waterfall Model

The development of information technology makes aspects of life using computers. At Hidayah Hospital, Boyolali, the analysis of the completeness of medical record documents is still manual. This implementation raises the problem of the absence of a report on the results of the completeness analysis. In this case, the researcher conducted observations, interviews and literature studies on the assembling and reporting officer. From the process of inputting patient data, doctor data, ward data, form data and diagnostic data, processed with a website that analyzes the completeness of medical record documents then stored and produces output in the form of completeness analysis reports, incomplete performance reports and IMR and DMR reports. By using the waterfall method. The design uses the PHP programming language with Dreamweaver applications and MySQL databases.
Role of Public Libraries in Promoting Reading Habits

Reading is a basic life skill needed by an individual throughout one’s life. Recognizing the importance of reading and the decline in reading culture this study aims to find out the reading habits among the students newly admitted at SP College Shorapur Yadagir Karnataka. The study shows that students spend more time on social networking sites rather than reading. The research focuses on how the public libraries of Karnataka can aid in inculcating the reading habits among children at the school level and how technology can be incorporated to make reading more pleasurable.
TEACHING SUPPORT STRATEGY DURING COVID-19 PANDEMIC AT UNIVERSITY OF PORTO

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 7592-7600ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1545Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
E-LEARNING SEBAGAI MEDIA PEMBELAJARAN: (Studi Kasus : STBA TECHNOCRAT TANGERANG)

The implementation of e-learning learning helps students to facilitate the learning processif they cannot attend class. STBA Technocrat has not used e-learning in the use of technology forlearning media.Some of the lecturers and students at STBA Technocrat are mostly private employees.Therefore the creation of e-learning is for learning media. To achieve these objectives the authoruses a research method approach, namely field studies and literature studies and the developmentand design of systems with the waterfall and UML models. Using PHP and MySQL programminglanguages. The conclusion is that with e-learning it can help facilitate lecturers and students indelivering and receiving material so that the teaching and learning process runs quickly not affectedby place and time.Keywords :E-Learning, Waterfall, UML, PHP, MySQL
Mitigating Topic Bias when Detecting Decisions in Dialogue

This work revisits the task of detecting decision-related utterances in multi-party dialogue. We explore performance of a traditional approach and a deep learning-based approach based on transformer language models, with the latter providing modest improvements. We then analyze topic bias in the models using topic information obtained by manual annotation. Our finding is that when detecting some types of decisions in our data, models rely more on topic specific words that decisions are about rather than on words that more generally indicate decision making. We further explore this by removing topic information from the train data. We show that this resolves the bias issues to an extent and, surprisingly, sometimes even boosts performance.
Labour law aspects of organization of distance education in universities

The article considers changes in the organization of the educational process in universities in Russia in connection with the pandemic, an attempt was made to analyze changes in the performance by university teachers of labor functions in the conditions of the transition of universities to distance learning. Peculiarities of working time regime, requirements for teachers in changed conditions, as well as a number of problematic aspects related to work in information and educational environment are considered.
A comparative analysis of the legal framework for the criminalization of cyberterrorism in Nigeria, England and the United States

Terrorism continues to pose a major threat to both national and international peace and security. It undermines the core values of the government. Nigeria continues to face multiple challenges posed by various terrorist groups with devastating human cost, in terms of lives lost or permanently altered, internally displaced persons and immensely negative consequences for economic and social development. Cyberterrorism is terrorism committed with the aid of a computer or computer network. This paper examines the  provision which makes up the legal framework for the criminalization of cyberterrorism in Nigeria in comparison with that of England and the United States. The paper adopts a comparative legal method of analyses wherein the paper compares the legal framework in the different jurisdictions with the aim of interrogating the adequacy of the legislations. The paper further tries to assess and/or identify the gaps in the existing laws. The legal responses of both the national and international communities are analyzed in the paper. From the analysis, the paper finds that with the reoccurrence of terrorist attacks in Nigeria, the enactment of a law may not be enough, as cyber-terrorist attacks in Nigeria is imminent. The paper thereby recommends the establishment of a joint task force for cyber security and building of a National Cyber Command Center that will be the go-to center for cyber security in Nigeria and will facilitate Cyber intelligence integration for all governmental parastatals and other institutions in Nigeria.Keywords: Cyberterrorism, Terrorism, Security, Cyber-Security, Computer Network.