Reviewerly/exHarmony huggingface dataset:
Edge analytics on resource constrained devices

Video and image capture cameras have become an important type of sensor within the Internet of Things (IoT) sensing ecosystem. Camera sensors can measure our environment at high precision, providing the basis for detecting more complex phenomenon in comparison to other sensors e.g. temperature or humidity. This comes at a high computational cost on requirements of CPU, memory and storage resources, and requires consideration of various deployment constraints such as lighting and height of camera placement. Using benchmarks, this work evaluates object classification on resource-constrained devices, focusing on video feeds from IoT cameras. The models that have been used in this research include MobileNetV1, MobileNetV2 and Faster R-CNN that can be combined with regression models for precise object localisation. We compare the models by using their accuracy for classifying objects and the demand they impose on the computational resources of a Raspberry Pi. Various IoT deployments are investigated by comparing the probability scores of classifying chosen objects using different camera placements. We conclude that the Faster R-CNN model that is configured with the InceptionV2 regression model has the highest accuracy. However, this is at the cost of additional computational resources. We found that the best model to use for object detection functionality on the Raspberry Pi is the MobileNetV2 model paired with the SSDLite regression model. This results in the highest accuracy and probability score for object classification, in comparison to other mobile-friendly models considered in this work, whilst using the least amount of computational resources.
외식종사원의 일과 생활의 불균형, 직무 스트레스, 이직의도 간의 관계

This study aims to increase the quality of work and life of food service employees and also the quality of employment of managerial subjects in the future by understanding the effects of work-life imbalance on the relation between job stress and turnover intention. Using the judgment sampling of the non-probability sampling method, this study targeted the culinary employees and food & beverage employees working for food service companies and small-size stores of food service industry in Seoul region. The results of this study could be summarized as follows. First, the work-family imbalance and the work-growth imbalance had positive(+) effects on the job stress. Thus, the time conflict, role conflict, and conflict between family members at home, would have close relations with job stress. Second, the work-family imbalance and the work-growth imbalance had positive(+) effects on the turnover intention while the job stress also had positive(+) effects on the turnover intention. In the level of organization, the turnover of competent talent causes considerable losses such as the decrease of productivity and competitiveness. The work-life balance and the decrease of job stress could be the important requirements for motivating employees and also securing/maintaining excellent talent. Third, the job stress showed the mediating effects on the relations of work-family imbalance, work-growth imbalance, and turnover intention.
Decentralized Self-adaptation in Large-Scaled Systems of Systems.

Today’s distributed applications require steady maintenance. To tackle this problem, so-called self-adaptive systems (SAS) can be used to change the behaviour automatically to adapt to a changing environment and context. Open challenges remain when those SAS get combined with Systems of Systems (SoS). SoS can get partitioned in multiple sub-parts as a result of errors or connection faults which rises the need for a decentralized self-adaptation approach in SoS. In this doctoral paper, those open challenges are discussed and explained using a scenario of self-driving vehicles. Ideas for solving the problems are presented and the evaluation method of using the Webots simulation environment is explained. Solving the problems of self-adaptive SoS will enable robust adaptations in large-scale systems.
TOUR BUDDY – VIRTUAL TOUR GUIDE

The Web Application system acts as a Virtual Guide; for every input image given to the system, the output is generated as information regarding the monument. This Web Application provides information concerning the climate situations to make sure that the person is snug touring the preferred place. This System gives information regarding the preferred area for a person new to the metropolis or to the tourists who need to discover the area at their desired time period. Based on the user preferences and choices, the places are suggested to the user/tourists. The User can select the place(s) he wants to visit, for instance, parks, beaches, monuments or food joints, and so on; the system will give information regarding the monument and its history. Common tourism issues can be solved using a virtual tour guide who will help the tourist anytime and anywhere. As the web system is cost-effective and efficient enough to not miss out on the information regarding the monument and the vicinity. The user can also plan their trips based on their choices as well as their comfort preferences. The system is an interactive website to interact with the users, providing them with features as monument recognition, a rating system for places, live weather conditions for traveling, planning an itinerary, and exploring other tourist spots. The website greatly reduces the time required to search for a place leading to quicker decision-making and to make trips easy and comfortable as well as give the information related to the monument to the users.
Solar electric tricycle development and research

Received: February 2nd, 2021 ; Accepted: May 8th, 2021 ; Published: May 13th, 2021 ; Correspondence: dainis.berjoza@llu.lv
SISTEM INFORMASI BIMBINGAN TUGAS AKHIR DI UNIVERSITAS BATAM BERBASIS WEB MENGGUNAKAN PHP DAN SQL

The final project is one of the requirements of graduation students. The provisions on the final assignment are arranged by each faculty, following the applicable university standards, where not only the thesis document should be worked on, technical documents, journals, manuals, and applications for which the research must be worked out with a series of timelines which is solid. The stages of the final submission process used today must go through a face-to-face process. This study aims to analyze and design the administrative system of the final submission of online-based tasks in which every process that still use the manual stages will be fully processed fully using the computer and accessed via the Internet network. Such a process entirely uses Internet access and database storage that can be used at any time and can be stored on a long-term basis. Stages that will be used in the author of this application is to use the design method begins with the process UML (Unfied Modeling Language) with use case diagrams, Class diagrams and flowchart and then in the coding into the application using the PHP programming language for pengaplikasiannya. The desired end result of this research writing is an administrative information system web-based final project submission that can facilitate each final project process
Theoretical resources of bibliography

The author estimates the scientific and practical value of the theory of information resource studies presented in domestic and foreign publications by T. F. Berestova, Professor of Chelyabinsk State Institute of Culture.
국어 사고도구어와 국어 학업성취도와의 상관관계

This paper looked at relationships between Korean academic achievement and the level of academic vocabulary. In particular, this paper compared the ability to grasp the contextual and the dictionary meaning, which have not been discussed adequately in vocabulary education to date. First, there was a positive correlation between academic vocabulary and the academic achievement of the Korean language. When the upper and lower groups were divided according to vocabulary level, the correlation between academic vocabulary and academic achievement differed by group. The group that showed the strongest correlation was the group under the vocabulary level. Second, we examined the correlation between the ability to understand contextual meanings and the ability to grasp dictionary meanings with academic achievement, which was also different for each group. In the case of the lower group, both had a significant correlation. The upper group showed significant correlation only in the dictionary meaning. Based on these findings, this paper concluded that different vocabulary education support systems should be provided per learners’ academic vocabulary levels.
COMPARISON OF I-125 SEED MARKING AND WIRE MARKING METHODS USED FOR BREAST TUMOR LOCALIZATION

It is very important to accurately determine the location of the lesion in order to accurately excise the tumor area in the breast tissue. The method used to determine the location of the lesion should not only contribute to the precise excision of the lesion, but also help to minimize the loss of healthy tissue during the excision procedure. In addition, the product applied in the localization method to be used before the excision procedure contributes to the success of the operation, as well as the low possibility of complications, contribution to patient satisfaction, ease of application for the practitioner, cost, time saving, ease of coordination and planning between different departments, and reduction of repetition. supplies. However, different localization methods have advantages and disadvantages compared to each other. At this point, the authorized doctor determines the localization method to be applied before the excision of the breast tissue, considering the advantages and disadvantages of different methods. In this study, the method of marking with I-125 Seed, which is used to determine the location of the lesion before excision of the tumor area in the breast tissue, was mentioned and compared with the method of marking with wire, which is an alternative application.
군수지원여단의 혁신성과에 영향을 주는 요인 연구

The purpose of this study is to investigate the factors that affect the innovative performance of the Logistical Support Brigades in the Korean Army. By using various theories in relation to organizational innovation, developmental culture, transformational leadership, and members’ diversity are hypothesized as the precedents of knowledge sharing and absorptive capacity, which lead to members’ innovative performance. Survey results show that developmental culture and members’ diversity each has positive impact on employees’ knowledge sharing. However, transformational leadership has no significant influence on members’ knowledge sharing. Developmental culture, transformational leadership, and members’ diversity are positively related to members’ absorptive capacity. Theoretically, this study is meaningful in that it has identified the factors affecting innovative outcomes in the aspects of culture, leader, and its members. Practical implications were suggested how managers can enhance employees’ innovative performance in the logistical troops.
A High Secured Ecc Based Iot Audiometric System For Cloud Based Dynamic Sensor Domain Environment

This paper is made based on the requirement of different domain users for effective hearing system. The system uses different devices to enhance the audio capability of different users at different application environment. The system uses IoT devices, sensors and different gateways for effective use of IoT based systems. The system will enhance the hearing capability of all users at different conference or personal or professional environments for the effective hearing capability among different hearing capabilities. It provides the environment to increase or decrease the volume of the source system based on the hearing capability of participants in the hearing environment. It can be used in any domain like conferences, home environment, education institutions and at public locations. It also adopts a security algorithm to protect the customer’s data in encrypted format at cloud system. It recognizes the candidate at any time based on the ID assigned to an individual.
A Replication of Are Machine Learning Cloud APIs Used Correctly

This artifact aims to provide benchmark suite, data, and script used in our study "Are Machine Learning Cloud APIs Used Correctly?". We collected a suite of 360 non-trivial applications that use ML cloud APIs for manual study. We also developed checkers and tool to detect and fix API mis-uses. We hope this artifact can motivate and help future research to further tackle ML API mis-uses. All related data are available online.
연구개발 수행기관 및 협력유형이 소재부품 R&D 효율성에 미치는 영향

The Korean economy has undergone growth based on manufacturing end products. The Korean government aims to advance industry by strengthening the materials and components industry, which is attracting more attention in terms of maintaining the competitiveness of existing key industries, and fostering new industries required in the era of the Fourth Industrial Revolution. Despite this importance, there is insufficient related research on the efficient R&D of the materials and components industry. This study analyzed the R&D efficiency. In addition, exploratory research was conducted on the impact of corporate size and type of cooperation on R&D efficiency. Output variables were set to reflect economic performance and the empirical analysis revealed that overall R&D efficiency is low. Small firms were found to perform better than large firms in terms of firm-size, and the efficiency of business-university-research cooperation is worse than other types of cooperation. This study is exploratory research considering the materials and components industry, and the results provide implications for research institutions and regarding types of cooperation. This is expected to help develop polices for qualitative growth and R&D strategies for investment and allocation.
Valores Patrios: aplicación móvil para el aprendizaje de la Historia de Cuba en la carrera de Ingeniería en Procesos Agroindustriales

Cuba has been gaining ground with the inclusion of Information and Communication Technologies (ICT) in educational contexts, specifically in Higher Education. Currently, a problem faced by the university professor is related to the development of mobile applications and their implementation in the teaching-learning process (PEA), in order tocontribute to didactic innovation from their teaching role. The article presented is the partial result of an investigation about the use of mobile applications in the teachinglearning process of the subject History of Cuba in the blended training of engineers. Its general objective is to assess the use of the mobile application Values Patrios withcontents of the subject History of Cuba for the career of Engineering in Agroindustrial Processes, linked to the blended modality in the Municipal University Center (CUM) of Quivican, attached to the Agrarian University of Havana Fructuoso Rodriguez Perez (UNAH). Among the research methods used are the analytic-synthetic, inductivedeductive,historical-logical, documentary analysis, modeling and the systemic-structural method. The survey was used as the empirical level method. The main result obtained was the proposed mobile application, with its structure, description and foundation; In addition, it was possible to verify the level of satisfaction expressed by the students andteachers of the subject with the mobile application developed.
Comparison of support vector machine and backpropagation models in forecasting the number of foreign tourists in Bali province

Tourism in Bali is one of the major industries which play an important role in developing the global economy in Indonesia. Good forecasting of tourist arrival, especially from foreign countries, is needed to predict the number of tourists based on past information to minimize the prediction error rate. This study compares the performance of SVM and Backpropagation to find the model with the best prediction algorithm using data from foreign tourists in Bali Province. The results of this study recommend the best forecasting using the SVM model with the radial kernel function. The best accuracy of the SVM model obtained the lowest error values of MSE 0.0009, MAE 0.0186, and MAPE 0.0276, compared to Backpropagation which obtained MSE 0.0170, MAE 0.1066, and MAPE 0.1539.
A Study on Propagation in the COVID-19 Era and the Future Revitalization of Buddhist Meditation

현시대는 코로나 팬더믹 현상으로 전 세계인들이 힘든 상황에 처해있다. 불안과 스트레스를겪는 사람들에게 가장 큰 도움이 되는 것은 참선이나 명상일 것이다. 현재 코로나-19라는 바이러스로 사람과 사람이 서로 만나지 못하는 상황이다. 이러한 현실은 사람들을 더욱 외롭고 힘들게만든다. 그러므로 전통적인 불교 참선이나 화두보다는 현시대에 맞는 포교가 되어야 종교에 관계없이 많은 사람들을 치유하고 힐링할 수 있을 것이다. 코로나 팬더믹 현상으로 사람들을 만나지못하고 혼자 고립된 상황에서 사람들은 더욱 핸드폰이나 영상 매개체에 의지해있는 실정이다. 이 상황에서는 모바일 명상앱이나 SNS를 활용한 포교가 훨씬 효과적일 것이다. 또한 코로나로인해 드러난 사실 가운데 놀라운 일은 지적 수준이 높은 젊은 사람들이 사이비 종교에 가입해있는것을 확인했다. 그러므로 젊은 층을 위한 불교의 대중화 방안이 시급한 실정이다. 이에 전 연령층들이 이용하는 세계적으로 유명한 명상 단체들의 장점을 고찰하여 불교계에서 적극적으로 활용해서 포교하면 좋을 것이다. 세계적인 명상센터에서는 이미 오프라인과 온라인 명상 프로그램을병행하고 있거나, 불교 교리에 근거한 다양한 프로그램과 친환경 운동으로 사람들에게 큰 영향력을 주고 있었다. 이러한 연구는 불교를 시대에 맞게 대중화시키는 데 반드시 필요할 것이다.Across the world, people are facing difficult situations due to the COVID-19 pandemic. Meditation practice or contemplation would be most helpful to people suffering from anxiety and stress. Currently, the COVID-19 pandemic is preventing people from socializing. This circumstance is leading people to feel increasingly lonely and depressed. Therefore, rather than a traditional Buddhist meditation practice or true-word of no-word, numerous people can only be healed, regardless of religion, when the propagation work fits their current situations. Isolated situations in which people are prevented from meeting each other due to the COVID-19 pandemic are increasing their dependence on cell phones and video media. In these circumstances, propagation will be significantly more effective through mobile meditation application programs or social networking services. Additionally, a surprising aspect of the COVID-19 pandemic was that young people with highly intellectual standards have been found to become members of pseudo-religions. Therefore, popularization methods for Buddhism among young people are more urgently required than ever. Thus, it would be beneficial to actively contemplate and utilize the merits of world-famous meditation organizations used by all ages in the Buddhist community for the propagation. The world’s leading meditation centers were already operating both in-person and online meditation programs, or they were influencing people with various programs and eco-friendly movements based on Buddhist doctrines. Such study will be essential to popularize Buddhism in conformity with the current era.
Implementing Smarteye - Fishy URL Detection Using URL Features and CNN

Phishing attacks are very common but are the least defended security menaces today. An approach is proposed which makes use of Natural Language Processing techniques to detect statements which are indication of phishing attacks. NLP offers a natural solution for this problem as it is capable of analyzing the textual content to perform intelligent recognition and performing semantic analysis of text to detect malicious intent. In this type of cyber-attack, the attacker sends malicious links or attachments through phishing e-mails that can perform various functions, including capturing the login credentials or account information of the victim. The standard way to specify page layouts is through the style sheet (CSS), the developed algorithm detects similarities in key elements related to CSS. Phishing detection includes approach that uses profiles of trusted websites’ appearances to detect phishing.
INNOVATIVE COMPETENCE OF A HIGHER EDUCATION TEACHER

Improving the quality of higher education is directly educating the harmoniously developed generation that future educators will become mature professionals in all respects. Because the pedagogical profession is both a reformer and a reformer is a management profession. In order to manage the maturity of the person must be competent. Hence the concept of teacher competence theoretical and practical preparation for the implementation of his pedagogical activity and represents a high level of skill. This article provides detailed information on the competence of higher education teachers.
Analysis on the Status of Non-Face-to- Face College Sports Classes According to the COVID-19

The purpose of this study is to analyze the status of non-face-to-face practical classes in college sports due to the COVID 19 incident and use them as basic data to increase the maximum educational effect in difficult educational situations. The subjects of this study were 7 universities majoring in physical education and 354 college students majoring in physical education participating in the non-face-to-face college physical education classes. The research tool was analyzed using the NAVER open questionnaire. As a result of the study, first, it was found that the non-face-to-face college physical education method was used in the order of learning management system, BAND·Daum, Zoom, YouTube, and others. Second, the form of non-face-to-face college sports classes was found to be conducted in the order of practical teaching video, real time class, YouTube video, student task-oriented class, teaching theory class video, and others. Third, the good points of non-face-to-face college physical education classes were high in the order of free class hours and places, safety of Corona 19, review possible, transportation cost reduction, etc. Fourth, the difficulty of non-face-to-face college physical education classes was higher in the order of difficulty in learning physical skills, boredom in class, evaluation method, difficulty in interaction and feedback, difficulty in assignments, lack of instructional facilities, and others. Fifth, the points to be supplemented in the non-face-to-face college physical education classes were high in the order of useful contents, interaction and feedback space, improvement of classroom facilities, improvement of evaluation methods, appropriate tasks, and others.