Reviewerly/exHarmony huggingface dataset:
International Conference on Physics and Energy 2021(ICPAE 2021)

PREFACE This special issue includes the proceedings of the First International Conference on Physics and Energy 2021 (ICPAE 2021), which was held during 21 st April 2021 at RanBal Research Institute (RBRI) in Kancheepuram, Tamilnadu, India. ICPAE 2021 provided a platform to experts, researchers, scholars, and academicians across the globe to exhibit their recent innovative research results and the most recent trends in the diverse fields of Physics and Energy. The first edition of ICPAE 2021 was represented by many potential authors. The program comprised of three plenary and four Invited lectures and eighty oral presentations covering emerging fields of Physics and Energy. The organizing committee sincerely acknowledges the support and continuous encouragement from Shri. E. Santhanam, Smt. S. Selvambal [Patrons-RBRI], Prof. P. Anandhi [Conference Chair] and Prof. P. Kumaran [Conference Secretary], Wolaita Sodo University, Ethiopia. Also, the organizing committee would like to express thanks to Dr. D.S. Vijayan, Associate Professor/Dept. of Civil Engineering, Aarupadai Veedu, Paiyanoor, Chennai, India, for rendering his support to the publishing committee. We are grateful to the advisory committee and technical review committee (National/International) for their valuable suggestions and contributions in organizing the mammoth scientific event. The first edition of the ICPAE 2021 proceedings includes fifty six papers eventually accepted after a careful peer-review process accomplished on the presented articles. The organizers sincerely thank to the guest editors and all the reviewers for their great efforts in bringing out the high standard scientific publication. The organizers of the conference are indebted to the publisher of Journal of Physics: Conference Sries (IOP Publisher), for giving consent to publish these papers under the special issue category. Conference Secretary Dr.P. Kumaran M.E., Ph.D Wolaita Sodo University, Ethiopia Guest Editors Guest Editors Dr. S. Harikrishnan M.E, Ph.D Professor &amp; Head Department of Mechanical Engineering Kings Engineering College Irungattukottai, Chennai – 602117, India Dr.P. Anandhi M.Tech., Ph.D Associate Professor Department of Electronics and Communication Engineering P.B. College of Engineering Irungattukottai, Chennai – 602117, India Advisory Committee, Technical Review Committee (International Members), Technical Review Committee (National Members) are available in the pdf
Analisis Sistem Klasifikasi Keamanan dan Akses Arsip Dinamis Universitas Sebelas Maret

ABSTRACT&#x0D; Introduction. One of the four guidelines required in the dynamic archive management process is the Security Classification System and Archive Access. Its existence is needed as a guideline for managing archives in providing access services to dynamic archives. The purpose of this research is so that the public, especially the college community, can know and implement the preparation of college regulations, especially on the Classification of Security and Access to Dynamic Archives, and implement them. The Dynamic Archive Security and Access Classification System at Sebelas Maret University is regulated based on archival legislation and college archival legislation based on rector regulations. &#x0D; Research methods. This research uses qualitative methods with a stud library approach.&#x0D; Data analysis. Data is analyzed by studying books, literature, records, and various reports related to research.&#x0D; Results and discussion. The archiving governance of Universitas Sebelas Maret refers to government policies and regulations as well as authorized agencies such as ANRI related to archiving. The archive collection consists of textual and non-textual archives. Archives are classified into ordinary, limited, confidential and highly classified information. The classification of archives is assisted by conventional storage facilities and digital storage facilities.&#x0D; Conclusions and suggestions. The classification of archival access is a category of restrictions on access to archives based on the authority to use archives related to the implementation of certain tasks and functions. Archival security is a physical protection program and archival information based on its security classification.&#x0D; &#x0D; Keywords: Security System Classifications,s, Dynamic Archives.
Optimum Selection of Virtual Machine Using Improved Particle Swarm Optimization in Cloud Environment

Nowadays, Cloud Computing acts a major role in every field. These days, more large data centers are in service and many small cloud data centers are enlarging all over the universe. Cloud Computing is a catchword in the domain of HPC and offers on-demand services to the resources on the internet. The VMs (Virtual Machines) specified in the cloud data centres may have different specifications and instable resource usage, which causes imbalanced resource utilization within servers. Thus, it leads to performance degradation. Hence to achieve efficient selection of VM, these challenges must be addressed and solved by using meta-heuristics algorithms. In order to process the data, the VMs are placed on the PMs (Physical Machines). There will be multiple and dynamic request of input in the IaaS(Infrastructure as a Service) framework, hence the system’s responsibility is to create a VMs without knowing the types of tasks. Therefore, the fixed tasks scheduling is not right for this system. The most important research area that needs to be addressed is its performance in scheduling. The best and optimal solution is to find out in the cloud environment. Metaheuristics-based algorithms provide the near-optimal solution. In this paper, we proposed an Improved Particle Swarm Optimization algorithm to reduce the makespan and improve the throughput. We have compared our results with adaptive three-threshold energy-aware (ATEA) algorithm and PSO. The investigational results display the proposed Improved PSO algorithm will schedule and balance the load in the dynamic cloud environment better than the other approaches.
Blockchain Technology for Addressing Privacy and Security Issues in Cloud Computing

Blockchain technology is a recent and important financial technology that has completely transformed business transactions. The adoption of cloud computing in all IT environments due to its efficiency and availability has increased dramatically. Despite attempts to address privacy and security issues, confusion remains in the cloud environment. It is said that blockchains are a promising solution for many distributed applications and have the potential to overcome issues pertaining to the centralized system. The decentralized nature of blockchains provides a new forms of distributed software architectures where users can reach agreement consensually on the shared system without relying on a central integration point. Nonetheless, there are some challenges which need to be evaluated. Accordingly, this study explores how blockchains can curb cloud computing issues from both legal and technical aspects. This article presents the use of blockchain in current cloud storage applications and discusses how blockchain technology can be used to resolve security and privacy challenges.The use of blockchains as a solution for each issue will be proposed by explaining how they can overcome the shortcomings of cloud computing.
Automatic Speaker Verification Under Spoofing Attack

Speaker verification involves verifying the identity of a speaker based on the spoken utterances. Speech carries different information about the speaker, such as linguistic content, emotion, the acoustic environment, etc, which are considered as major factors for identifying a speaker. However, the reliability of such systems these days is compromised as a result of spoofing attacks, where fraudsters can claim the identity of some authorized person to gain access to protected resources. They may present specially crafted speech signals that reflect the characteristics of an enrolled speaker's voice. This may lead to a high increase in the false acceptance rate and may affect the overall performance of those systems. In this paper, we present a robust speaker verification system that is capable of analyzing the speech feature variations in case of voice spoofing attacks. The presented model uses the Gaussian Mixture Model (GMM) and is trained on varied voice samples with genuine and spoofed voice samples. Experiments were performed to analyze the performance of the model under genuine as well as spoofing attack scenarios and are also compared with the Dynamic Time Warping (DTW) ASV model. The obtained results in all the experiments show the efficiency of the presented technique in detecting spoofed voice samples and resulted in reducing the false acceptance rate hence enhancing the overall performance of the system.
Machine learning-based attribute value search technique software component retrieval

Component reuse is an significant aspect in component-based software development, but the problem in reusing the component is that the retrieval of the component from the repository should be done. To retrieve the component from repository, diverse classification and retrieval schemes are present. In this chapter, component retrieval is done by using the attribute value search. Machine learning is an important concept in which processing and learning of a component are done from the composite dataset and solving various kinds of tasks well. Basically to retrieve the component from the tool SRSCAVS (Storing and retrieving the component from attribute value search), the user should know the specification of the component. By inputting the correct component name and operating system, it will be easier for the user to search the component efficiently. But if the user only knows one of the parameters, for example, either knows the component name or operating system, then also the user successfully searches the component.
Study on the Three-world Solution Framework of Algebraic Equations

Plank confine energy in quanta and later Heisenberg gave space-time limitations.Schrodinger wave function Ψ express quantum oscillation and Born clarified this wave function |Ψ|² as the probability of presence.Hypothesis of space, interprets the wave function Ψ as oscillatory space produced by the presence of quantized energy.Matter is confined in these quanta environment and its energetic space (quanta volume times its frequency) is related to surrounding space by Einstein equivalence principle.This theory develops a new way to interpret and integrate quantum mechanics with general relativity.Verifying the consistency of this quantumrelativistic interpretation, an explanation is given to the fundamental's ideas, observations and experiments of Modern Physics.
Sistem Rekomendasi Hybrid untuk Pemesanan Hidangan Berdasarkan Karakteristik dan Rating Hidangan

The method that was often applied in recommender systems was content-based filtering or collaborative filtering which had several drawbacks if applied singly so that its accuracy was not too high. This study intended to solve the drawbacks of both by combining these two methods into a hybrid method. Apriori algorithm was used to provided recommendations based on dishes’s category and price range in customer order history or wishlist. The similarity between dishes was calculated using adjusted-cosine similarity algorithm while customer’s rating for dishes prediction was calculated using weighted sum algorithm. The values generated by these two methods were then averaged for recommendation process. The proposed hybrid recommender system successfully combines content-based with collaborative filtering methods where its precision and recall values when measured by confusion matrix are 80.73% and 76.52%. By considering the characteristics of dishes that have been ordered by customer, the recommender system is able to recommend new dishes or dishes that have not been ordered as long as their characteristics are similar to the dishes the customer has ordered.
Design and Evaluation of a Cyber Protection Team Planner Work Aid

Cyber Protection Teams (CPTs) are responsible for providing mission assurance by ensuring that mission-relevant cyber terrain is secure and protected for operations. In order to do this effectively, CPT planners must correlate and integrate information regarding customers’ missions with information about the systems and networks required to perform those missions. To support this challenge, a CPT Planner work aid was designed and evaluated to assess its effectiveness. The evaluation compared the work aid with current CPT planning methods. Ten participants with varying planning expertise performed four planning tasks (managing approvals, assigning resources, managing accesses, and scheduling meetings). To test the efficacy of the proposed work aid, participants were tasked with planning a fictional mission utilizing both the traditional planning method and the work aid method. Data was collected from objective metrics to include time and task performance score, as well as subjective perception of workload. In addition, participants were asked a series of situation awareness (SA) questions after each task to measure their understanding of the mission-relevant information. Score and time to answer SA questions were also recorded. While CPT planning experience did not have a significant effect on performance, results revealed significant improvements in task time, SA question response time, and perceived workload when using the work aid versus the baseline condition.
The Analysis of Impoliteness within Grammar Nazi Context in Twitter Tweets

This research focuses on one of the phenomena namely the Grammar Nazi phenomenon. In the present paper, the Grammar Nazi phenomenon was a phenomenon where people did not hesitate to criticize other people's grammatical errors. This phenomenon of Grammar Nazi was associated with the theory of Impoliteness Strategy by Culpeper (1996). This research is a qualitative one, where 100 data employed were processed first using a coding technique. The results obtained from this study are 55% of the data using the Bald on Record strategy, 18% of the data using the Sarcasm or Mock Politeness strategy, 16% of the data using the Negative Impoliteness strategy, 11% of the data using the Positive Impoliteness strategy, while 0% data using the Withhold Politeness strategy. It was also found that 61% of the data of the Grammar Nazi phenomenon used verbal bullying only to attack the face of authors of the posts, while the remaining 39% of the data used verbal bullying with intentions to correct grammatical errors, hence providing benefits for authors of the posts. The Grammar Nazi phenomenon also has a different impact on everyone. It can be seen from the characteristics of the utterances used by the Grammar Nazi.Keywords: Grammar Nazi, Grammar Nazi Phenomenon, Impoliteness Strategy, Five Strategies, Twitter.
Collocations in Parsing and Translation

Proper identification of collocations (and more generally of multiword expressions (MWEs), is an important qualitative step for several NLP applications and particularly so for translation. Since many MWEs cannot be translated literally, failure to identify them yields at best inaccurate translation. This paper is mostly be concerned with collocations. We will show how they differ from other types of MWEs and how they can be successfully parsed and translated by means of a grammar-based parser and translator.
Practical Analysis for Improving Performance from One-stage Object Detectors

Since the advent of the CNN, the performance of object detectors has been greatly improved. In addition, with the one-stage object detector, the detection algorithm has been lightened and improved to a level that can be applied to real-time applications. However, the research directions for one-stage object detectors focus on obtaining high performance on a benchmark dataset, and there is less consideration of how to improve performance with real-world data. In this paper, we check how methods popularly used to enhance performance from neural networks respond to datasets similar to real-world data. Also, we experimentally confirm that a training configuration setup that considers the target dataset can be more effective than complex training strategies like knowledge distillation. Although this analysis is somewhat heuristic, we expect it will provide meaningful insights for researchers and developers who want to apply an object detector to actual applications.
Pembekalan Kompetensi Siswa Mengikuti Uji Kompetensi Bidang Multimedia bagi Siswa SMKN 1 Payung

Technological developments are increasingly developing. This requires students to improve skills in the field of multimedia to assist in dealing with school competency tests. All students are expected to be able to take the test and are required to pass as one of the graduation requirements. In this pandemic era, learning activities were a little disrupted so that it demanded that the school provide maximum provision for students. SMKN 1 Payung students still do not understand how to apply multimedia. Based on the above problems, it is necessary to provide provision on multimedia so that students are ready to face school competency exams. Some applications that can be used as a tool for creating multimedia are the Corel Draw X7 application specifically for designing multimedia and Adobe Illustrator for creating animations. The method used in this provision is direct multimedia design practice. It is hoped that this debriefing activity can improve the abilities of all students in facing competency tests so that they can graduate on time.
Advancing cybersecurity capabilities for South African organisations through R&amp;D

There is a growth of cyber-attacks in South Africa. Seeing that there are over 38 million Internet users in South Africa, this is no surprise. The South African government has published the National Cybersecurity Policy Framework (NCPF) and Protection of Personal Information Act (POPIA) to move towards mitigating cyber threats due to the increase of the presence of South African organisations and citizens in cyber space. This demonstrates that there is a need for organisations to have a clear roadmap to implement and improve on their own cybersecurity capabilities. South African organisations need to take a proactive stance in cybersecurity because businesses rely heavily on technology for day-to-day operations. Currently cyber-attacks cost South African organisations over R2 billion, and the current work-from-home arrangement that most organisations have implemented will only worsen the situation. While a cybersecurity roadmap will differ in every organisation based on the organisation’s vision, goals, and objectives, along with their information technology (IT) and operations technology (OT), a starting point is perhaps the identification of key research and development (R&amp;D) areas together with key activitiesthat organisations can focus on in order to improve their cybersecurity capabilities. Cybersecurity capabilities are tools that organisations use to strengthen their organisation and protect themselves from potential cyber threats. The purpose of this study was to investigate R&amp;D areas that organisations should invest in for the purpose of improving their cybersecurity capabilities. There are various subfields in cybersecurity that can be explored for organisations to advance their cybersecurity capabilities. Five integral R&amp;D dimensions were identified together with key activities and are presented and discussed. A conceptual framework is also presented which maps the R&amp;D dimensions and activities to the main pillars of cybersecurity, i.e., People, Processes, and Technology. South African organisations could reference the framework and adapt it for their business needs to protect themselves against potential cyber threats.
Absensi Pengenalan Wajah Menggunakan Menggunakan Algoritma Eigenface Berbasis Web

During the Covid-19 virus pandemic as it is currently being experienced in Indonesia is very rapidly spreading, forcing the government to impose a PSBB (Pembatasan Sosial Bersekala Besar) system in several regions in Indonesia. With the government regulation on health protocols, many companies must take action to minimize the spread of the Covid-19 virus. In this situation with daily activities opens opportunities for the Covid-19 virus to spread very quickly, especially in the office sphere. The spread of the Covid-19 virus could be through an attendance system that still uses finger print tools used to collect employee attendance data. In this study, attendance application developed using facial recognition method as key for employee data retrieval. This method of facial recognition is applied in real time with a certain distance and lighting. Eigenface algorithm is used as a training process for employees' faces that have been inputted before. The results of the training data will be saved to a database which is then used as a key to recognize the faces of employees who will perform attendance. In the results of the trial the attendance data application will enter when the level of facial recognition is above 70%.
The Impact of Human Resource Management Practices in Financial Organizations on Job Satisfaction

Job satisfaction is considered an essential factor in developing a professional's personality, closely related to work motivation.Job satisfaction is a necessary component of human resources, an indicator of both the current and prospective position of the organization.In modern conditions of functioning of organizations, employee satisfaction is associated with specific positive consequences: high labour motivation, increased labour efficiency, staff involvement (loyalty to the organization).Study purpose.To investigate the differences in the degree of satisfaction with various aspects of employees' work in financial sector organizations in the digital economy.For this purpose, in practice, a descriptive-analytical approach was used to identify the degree of employee job satisfaction in the organization.Statistical analysis of the study results was carried out to identify the relationship between the variables (Z-test, correlation analysis).The study solved the problem of determining significant factors in managing an organization's human resources that affect job satisfaction (remuneration, job security, level of responsibility at work, recognition, leadership style, career opportunities, training and development in a professional environment).Results.A positive relationship has been revealed between the practice of human resource management in financial sector organizations and employee satisfaction.The study recommends improving management in the personnel utilisation subsystem by optimising the financial compensation system and workplace design, positively affecting employee satisfaction.
Development of Creative Thinking as an Essential Competence of a Modern Person

Modern dynamic life poses extraordinary tasks for each member of society, for which it is necessary to show a creative approach.Creativity is an essential quality for students of the twenty-first century.Currently, there is a substantial scientific, innovative leap in the world; people are increasingly choosing the path of an innovator and inventor.In the age of high technology, for students studying in the direction of Design, it is necessary to think creatively to be in demand in the professional field.The experiment was conducted based on the Novosibirsk State University of Architecture, Design and Arts named after A.D. Kryachkov.We have developed and tested a system of exercises to develop creative abilities within the framework of studying the discipline "design engineering".