Reviewerly/exHarmony huggingface dataset:
Smart Face Recognition Using IOT and Machine Learning

A fast-expanding subject called "Smart Face Recognition" uses IoT and machine learning to reliably identify people based on their facial traits.Security, retail, and healthcare are just a few of the sectors that are using this technology to boost customer satisfaction and boost productivity.IoT and machine learning work together to enable the collection of enormous volumes of data from numerous sources, including cameras and sensors, and utilize this data to train algorithms that can precisely identify people in real-time.Due to its precision, speed, and scalability-essential characteristics for applications like security and access control-this technology is gaining popularity.The capability of this technology to learn and adapt over time is one of its main advantages.The algorithms improve in accuracy and can better recognise people even in difficult situations, including poor light or partial obstruction, as more data is gathered and analyzed.Smart facial recognition technology has the ability to transform a number of industries and improve the user experience by delivering individualized services, safe and effective access management, and real-time monitoring.We can anticipate seeing this technology used in many brand-new and fascinating applications as it Develops.
Agile Management in Cybersecurity

Cybersecurity management has emerged as a topic of growing importance on a global scale. Applying traditional management practices to cybersecurity is often too cumbersome and can lead to significant delays. Today's enterprises must be able to adapt to ever-evolving digital threats and act with corresponding agility and flexibility. Agile methods are well suited for projects without a defined scope, duration, tasks, and resources and has been identified as suitable for meeting the management challenges of cybersecurity teams. Based on an in-depth literature review, this study assumed that adopting an agile approach to cybersecurity helps organisations manage cybersecurity effectively. A first prototypical model was developed and evaluated which combines agile methods with cybersecurity functions - based on a recognized reference model.
Revitalizing Public Trust through Efficient Complaint Management: A Comprehensive Study on the Impact and Effectiveness of Public Complaint Management System of Malaysia

The topic of complaint management is receiving more and more attention in both practise and research, particularly the public complaint. Service delivery that meets the needs of its customers has become one important indicator that determines the quality of governments’ services. This paper presents an analysis of public complaint managed by the Public Complaint Bureau (PCB) of Malaysia; a specialised body that handles public complaints. This paper aims to analyse the effectiveness of complaint management system in managing public complaint and provide recommendations. Through this analysis, the performance of PCB has showed significant role in managing public complaint through the continuous improvement of complaint management system to achieve improved service delivery.
Persona-oriented Data Protection Impact Assessment for Small Businesses

The European (EU) General Data Protection Regulation (GDPR) is applicable since May 2018 and has since posed major challenges for small businesses with limited knowledge and resources. According to Art. 35 of the GDPR, a so-called ‘Data Protection Impact Assessment’ (DPIA) is mandatory if a processing of personal data is likely to result in a high risk to the rights and freedoms of natural persons. There is a demand for low-threshold, practical instruments that support the required DPIA. The objective of this research was to develop a new DPIA instrument that meets the needs – as unit of analysis – of non-technology small businesses and complies with the requirements of the EU GDPR. Design Science Research was used as the methodological framework and identified personas were drivers in the development. The result is two variants of instruments that have been carefully evaluated and proven to be valuable.
Implementation Of Tracer Study At PTNBH In Indonesia

Alumni are an inseparable part of a university. How the performance of alumni after graduation is an indicator of the success of study programs and universities that graduate them. To find out the current condition of alumni, it is necessary to conduct a tracer study. The purpose of this study is to describe and analyze the implementation of tracer studies at PTNBH in Indonesia so that it can be a reference for other universities in improving their tracer study performance. The research method used is exploratory descriptive with a qualitative approach. The source of data in this study is the leadership of the Chairman and staff of the tracer study implementing agency at PTNBH. Data collection techniques use interviews, observations, and Focus Group Discussion (FGD). Data analysis is carried out descriptively through the stages of reduction, display, and conclusion. The results showed that the tracer study policy at PTNBH was carried out centrally by the work unit responsible to the Rector. To strengthen the position of this work unit, the existence of a work unit that carries out tracer studies is contained in the SOTK of higher education. The tracer study system built by PTNBH has been running effectively thanks to the commitment and support of leaders at all levels. The instruments used are very dynamic and refer to the Kemendikbudikti tracer study instrument and accommodate the needs of various parties. Alumni play a major role in the implementation of tracer studies both as respondents, surveyors, and tracer study ambassadors.
The Real Effectiveness of VR: the tourism and cultural organization managers' point of view

Abstract: Virtual reality (VR) has become an important field of academic research investigation, firstly and obviously in relation to its technological aspects. Then, as a marketing tool for promotion and communication purposes. In this context, researchers have mainly focused on analyzing the behavior and appreciation of tourists with respect to this new technology. This article proposes an alternative approach, focusing on the company’s decision-makers, mainly tourism and cultural organizations, who use this technology. This approach seeks to understand how and why VR is integrated into a company's strategy. Methodology: Firstly, we did a literature review and studied a systematic collection of virtual tour offers in Switzerland, which led to the analysis of characteristics of these virtual reality offers. These characteristics consider the different virtual reality systems according to the level of immersion, interactivity, and presence, which made it possible to construct a classification of virtual tour offers in Switzerland. Secondly, a qualitative method was used to conduct twelve semi-structured interviews with companies offering virtual tours of Swiss regions, in order to understand the managerial vision of VR usage and to deepen understanding of the various applications of virtual reality in the context of Swiss tourism. Findings: The analysis revealed that there is a distinction between the different virtual reality systems used in the Swiss tourism sector. Research has shown that non-immersive 360° videos as a marketing tool are no longer of great benefit to tourist destinations. Conversely, immersive virtual tours for promotional purposes at trade fairs and with travel partners are still of interest however are no longer considered a competitive advantage. It is the integration of VR into the in-situ tourism experience which has received a more enthusiastic response but creating fears among tourism stakeholders. Originality/Value: The main argument of this article is that it analyzes the use of VR tools from the point of view of managers of cultural and tourist institutions, and not from the point of view of customers. Furthermore, the article proposes a new structural classification of VR projects in Switzerland and offers practical implications for tourism and cultural organizations, as well as new directions for future studies.
Risk Assessment Technology on the Application of Admission of New Students in High School

The rapid development of technology makes almost all service activities use information technology, including service activities in schools. One of the services provided by the school is to facilitate prospective students who are interested in registering as new students at school by building an open source-based new student registration application so that prospective students can register anywhere without having to come to school directly. The use of this application has several technological obstacles such as the system being locked due to being hacked by hackers, phishing, attacks from viruses, attacks from previous people who know the security of data from a computer system, unstable computer networks that affect the operational process to be slow, and low level of computer security. The purpose of this study is to provide recommendations for controlling the risk of using information technology in new student registration applications so as to minimize future losses to schools by measuring the likelihood and impact of using computer technology. The risk assessment model uses the NIST SP 800-30r1 framework, which is used as a tool to measure how big is the threat level and the impact caused by attacks that attack the application. The NIST SP 800-30r1 framework has stages such as recognizing system characteristics, threats, vulnerabilities, analyzing system handling, determining likelihood, determining impact, risk determination, recommending control, and determining results. The results of this study were used as recommendations to minimize losses obtained by schools and as a benchmark for controlling the risk of using technology to improve the quality of schools.&#x0D; Keywords: risk assessment technology, admission, high school
A Preliminary Discussion on a Teaching Mode Based on the Combination of Virtual Simulation and AI Humanoid in the Context of New Medicine

Medical staff are facing challenges in both their knowledge and practical skills in this era of New Medicine.However, the lack of experimental resources and the difficulties in the application prevent the medical staff from learning through practice and cause an even bigger gap between their theoretical knowledge and practical skills.The emergence of virtual simulation and humanoid technologies is a solution to both problems mentioned above by improving the practical skills of medical staff or medical students and their clinical thinking.
CONSIDERATIONS ON THE STYLE AND THE STRUCTURE OF EMAILS USED IN PROFESSIONAL COMMUNICATION

The article focuses mainly on presenting the mixed nature of an email, which contains elements of both the written and the oral language. The analysis is conducted on 300 emails exchanged between business professionals working in a multinational company, where English is used for international communication. The structure of the email is first outlined (formulas of address, content, closing line and signature) and then compared to that of the traditional business letter.
PHYSIOLOGICAL NEEDS IN JOJO MOYES’ NOVEL ME BEFORE YOU

This research is aimed at protagonist’s physiological needs in the novel Me Before You written by Jojo Moyes based on Maslow’s theory. There are five basic needs based on Maslow’s theory. This study only focuses on physiological needs in the protagonist’s life. Physiological needs, the most important basic needs, is the elements needed by human being in maintaining life and health. This study used qualitative method to describe the obtained data. The result shows that there are four important points of physiological needs found in the protagonist’s life. Those are food, water, clothing and rest. It is found that the protagonist in the novel puts first her basic needs. She fulfills her needs for food, water, cloth, and rest. The basic needs must be fulfilled first before other needs. Therefore, the protagonist in the novel can live healthily and continues her life safely.
A question against the flow” – for the interpretation of several miniatures by Givi Margvelashvili

&nbsp;&nbsp;&nbsp; Givi Margvelashvili actually lived under two dictatorships - fascism and communism. That is why his prose is considered not to be a refuge, it is full of pain. Philosopher Giga Zedania notes on the one hand that emigration means a kind of double absence: Givi Margvelashvili, who neither lived in Georgia until the end nor in Germany, is a visible confirmation of this in literature and life; Nevertheless, it still has an identity, and it is Georgian-German. Thus, one of the starting concepts of Heideggerian philosophy - about discovery in a foreign environment3, is brilliantly confirmed by the life and creativity of Givi Margvelashvili. Givi Margvelashvili is considered one of the most important modern thinkers. He started writing in 1961. At this time, he lives in Tbilisi, with the great efforts of his friends, he got a one-room apartment, which became a kind of Noah's ark. Later, the writer recalled that he was interested in conveying the feeling of internal emigration, he even notes that one is external emigration, the other is internal, and this was exactly the subject of his interest - to convey the feeling that each of them leaves on a person or in a person. Jörg Zündenmayer, literary critic and publisher, notes that Margvelashvili's books are very difficult to read, it would be good if readers could follow Heidegger and Derrida in their thoughts without the help of the author. Husserl... although his prose does not have only elderly readers, this literature is read by young people, for whom Margvelashvili's work is perceived as an intense thriller (https://youtu.be/5DgklENNpKM). Margvelashvili's literary cosmos is constantly renewing, developing and inexhaustible. His prose is connected with the work of other writers, it creates a kind of network system and is completely consistent. What he writes about is relevant in all times and seems to be foreseen.
KOMIK DIGITAL MAK IRITS SEBAGAI MEDIA PENGENALAN PARIWISATA DI KOTA SEMARANG

Semarang City is the capital city of Central Java province which is geographically located on the crossing route between West Java and East Java, this causes Semarang to be often only considered as a crossing area by tourists, even though Semarang City has many interesting and educational attractions. With so many choices of tourist destinations in Semarang City, what is needed now is the development of social media content that has a function as a medium to promote tourism potential in Semarang City so that it is increasingly known by the public. In addition, current technological advances cause unlimited media that can be used as promotional media, one of which is comics, which are considered quite effective because comics contain text, images, and storylines. Currently, comics, especially digital comics, both those made using digital media and traditional comics published digitally, are in great demand by the people in Indonesia, as seen from the large number of comics imported into Indonesia. The choice of digital comics as a promotional medium has been considered because apart from making comics digitally faster and more efficient, there are now many platforms to publish comics for free such as LINE Webtoon, Kakaopage, Koomik, and so on. Komik Mak Irits itself is a comic by Rahmi Aziza that has many unique charactwith the main character Mak Irits being economical. Using the comic Mak Irits in the comedy genre, it is hoped that the delivery of messages to the public can be received better.
Using less keystrokes to achieve high top-1 accuracy in Chinese clinical text entry

Background As a routine task, physicians spend substantial time and keystrokes on text entry. Documentation burden is increasingly associated with physician burnout. Predicting at top-1 with less keystrokes (TLKs) is a hot topic for smart text entry. In Western countries, contextual autocomplete is deployed to alleviate the burden. Chinese text entry is intercepted by input method engines (IMEs), which cut off suggestions from electronic health records (EHRs). Objective To explore a user-friendly approach to make text entry easier and faster for Chinese physicians. Methods Physicians were shadowed to uncover the real-word input behaviors. System logs were collected for behavior validation and then used for context-based learning. An in-line web-based popup layer was proposed to hold the best suggestion from EHRs. Keystrokes per character and TLK rate were evaluated quantitatively. Questionnaires were used for qualitative assessment. Nine hundred fifty-two physicians were enrolled in a field testing. Results 14 facilitators and 17 barriers related to IMEs were identified after shadowing. With system logs, physicians tended to split long words into short units, which were 1–4 in length. 81.7% of these units were disyllables. Compared to the control group, the intervention group improved TLK rate by 40.3% ( p &lt; .0001), and reduced keystrokes per character by 48.3% ( p &lt; .0001). Survey results also promised positive feedback from physicians. Conclusions Keystroke burden and frequent choice reaction time challenge Chinese physicians for text entry. The proposed system demonstrates an approach to alleviate the burden. Contextual information is easily retrieved and it further helps improve the top-1 accuracy, with a smaller number of keystrokes. While positive feedback is received, it promises a benefit to protect patient privacy.
Post-quantum Techniques in Wireless Network Security: An Overview

Post quantum is a general name to all the techniques which are safe against the quantum computer attack. The wireless network is one of the most important means of communication. Wireless network security is a top priority. Wireless networks use conventional cryptography, which has various flaws, whereas quantum cryptography claims to be completely secure. It wasn't long after quantum computers became operational that people began to think about new ways to secure electronic communications. After considering all of the weaknesses in conventional cryptosystems, individuals began to look for new ways to secure electronic communications. Traditional cryptography has many problems, but quantum cryptography addresses nearly all of them.
Real-Time Deepfake Image Generation Based on Stylegan2-ADA

Training Generative Adversarial Networks (GAN) usually leads to hyper-specialization due to few data and this causes training to diverge.This paper proposes a method that significantly stabilizes training without making changes.The method which will be used is stylegan2-ADA method to get fake images, the images will be entered in several steps, where the first step is using 76,400 Flickr-Faces-HQ (FFHQ) images and training them to get fake images.The program will be dividing images inside seven test folders, as the performance rate of 1000 images is 83.3%, which is a very good percentage when compared with the stylegan2 method because our proposed method contains augmentation that generates many images through the use of few images.The second step is represented by using personal images, we used two personal images and made a projection between them.The result of the performance of generating 200 images is 99.9%.Additionally, will be took a direct photo using the computer camera in real-time mode, and i generated 300 images.The generation performance is 99.9%, and our approach outperformed earlier ones in terms of accuracy, the ability to produce images without noise, and ability to create fake images of people who are not actually there.
A Study on Imbalanced Data Classification for Various Applications

In today's world, classification issues with unbalanced data are widespread.The Aim is to solve the issue of low classification learning algorithm accuracy in diverse applications due to a major imbalance of the sample set.In fields including marketing, medical science, information security, and computer vision.Raw primary data is frequently distorted due to a skewed perspective of the data distribution of one class over another.These issues have a negative impact on the categorization process in algorithm development, machine learning, and deep learning.There are classifications with different ratios of specimens in some circumstances, with one class having a large number of specimens and the other having fewer specimens.The latter class is an essential one, yet many classifiers misclassify it.Recent research on unbalanced problems in numerous areas from 2020 to 2021 is in this survey report.Extensive research has been conducted to handle unbalanced data issues utilizing a variety of techniques and approaches.The experimental findings reveal that ADASYN obtains the highest level of accuracy in intrusion detection.
BREAKING DOWN BARRIERS: PROPOSALS FOR OVERCOMING CHALLENGES IN STUDENT PROJECT MANAGEMENT

Student project management is becoming increasingly important in various settings such as technical clubs, planning clubs, and research laboratories. However, effective methodologies for managing student-led projects have not yet been established. This study aims to address key issues related to cost and motivation in student-led projects and propose effective improvement plans. The significance of this study lies in its potential to identify challenges faced in current student project management practices and offer solutions to mitigate risks. By sharing our findings, we aim to encourage further research on this topic and promote the adoption of effective methodologies for managing student-led projects.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0036/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Evaluation of similarity of trend functions

An approach to the evaluation of the similarity of the functions - approximating trend is proposed. The evaluation process consists of two stages: approximation techniques specific to non-linear regressions are applied, then certain procedures are used - algorithms for comparing the trend-functions obtained. Approximating functions are made up of components of polynomial form as well as terms - parameterized trigonometric functions sine and cosine. A function of this form allows us to obtain approximating functions at an acceptable level of accuracy for each individual case. Beforehand, the primary data sets are subjected to a smoothing process, which also provides for the inclusion of some parameters for the purposes of qualitative monitoring of operations to exclude exceptional values, values that, in some cases, can have a significantly negative impact. Varying the parameters of the approximating functions, in particular, of the trigonometric functions, can provide us with an approximation at a proper level of precision. In some cases, a high level of approximation accuracy can also have a negative impact. Having already obtained the trend functions for the respective data sets, we continue with the process of calculating the parameters that determine the basic fundamental properties of the obtained trend functions. For this purpose, the techniques of researching functions according to theories in the field of applied mathematics are used. Then, the domain of the independent variable is to be divided into several intervals, not necessarily of the same length, then, for each of them, the values corresponding to monotony effects, inflection points, extremes, etc. are calculated. The obtained values are to be included in the distance calculation formula.