Reviewerly/exHarmony huggingface dataset:
Facilitating Continuous Text Messaging in Online Romantic Encounters by Expanded Keywords Enumeration

An increasing number of people are looking for romantic partners online. Many of them first converse online before deciding whether or not to meet in-person. However, it is often challenging to have smooth and continuous conversations online with someone who they have never met in person. To handle this problem, we built a proof-of-concept system, Tomi, that dynamically suggests various conversation topic seeds related to the latest received messages in real-time. It selects a keyword from an incoming message and returns five contextually relevant topic seeds. In a qualitative study with eight dyads that simulated the common setting of online match-making, users could continue their conversations either by directly or indirectly utilizing the suggested topic seeds. Also, our system boosted their confidence during the chat. Lastly, we analyzed the trade-offs between several design alternatives and presented our reflections on a system supporting continuous conversations with diverse topics.
Artificial Intelligence at the Edge: Designs and Architectures for Pervasive Intelligence

Presents the introductory editorial for this issue of the publication.
Face Mask Detection under the Threat of Covid-19 Virus

For wearing a mask, Covid19 has a new identity. Detecting masked faces with accuracy and efficiency is becoming increasingly important. Face mask recognition is a tough task because of the high occlusions that cause the loss of face in-formation. Furthermore, There aren't many large-scale, masked face with a well-label datasets out there, which makes face mask recognition more difficult. CNN-based deep learning algorithms have achieved significant advances in a variety, one aspect of computer vision is face detection disciplines. We introduce a new cascade structure based on CNN for recognising face masks in this paper, This is made up of three convolutional neural networks that have been successfully built. To finetune our CNN models, we propose a new dataset named “facial mask dataset.” due to a paucity of face masked training instances. Face masks were tested on a set of faces, we assess our suggested face mask recognition algorithm, and it performs admirably. A new cascade framework based on CNN is proposed for detecting face masks and their types, which comprises of three properly built convolutional neural networks.
Multi-perspective representation learning for source code analytics (invited tutorial)

Programming languages are artificial and highly restricted languages. But source code is there to tell computers as well as programmers what to do, as an act of communication. Despite its weird syntax and is riddled with different delimiters, the good news is that the very large corpus of open-source code is available. That makes it reasonable to apply machine learning techniques to source code to enable the source code analytics.
Application of artificial intelligence technology in electronic information engineering

Artificial intelligence technology can use non-linear thinking to deal with a large number of data resources, its essence lies in the simulation and reproduction of human thinking. By giving full play to its high-speed and dynamic advantages, we can build an artificial intelligence system, stabilize the data processing mode, and improve the efficiency of data processing. For example, the convolutional neural network is used to construct structural models, and the application of artificial intelligence technology can reduce the error of data calculation, establish a high-level data structure, and accurately judge and process the data.
Realization of VR+AR in the Interactive Platform of Online Art Education in Colleges Under the Internet Ecological Environment

VR is more and more widely used in various fields of life, and has achieved satisfactory results. This technology integrates computer and simulation technology, and has the characteristics of immersion, interaction and sharing, so its basic implementation is computer simulation of virtual environment. However, due to the relatively slow development of AR college art and design education in my country, so compared with cultural courses, there is still a big gap. In order to promote the development of art and design education in colleges and universities in my country, the exhibition platform of art works has been expanded and enriched. Widely disseminated on the Internet and self-media in digital form. Focus on the innovative development and application strategy of "Internet + art education".
Optimization of the Automated Sales System as an Effort to Minimize Fraud &amp; Improve Internal Control at The Distribution Company PT Sehat Selalu Banyak Rejeki

Information systems are essential in developing a business, especially in integrating data between one role and another. In addition, the development of information systems can be utilized by management in carrying out internal controls to manage the organization or company and minimize the risk of fraud resulting in material losses. This study aims to explain how the form of efforts to optimize the sales system in a company so that it becomes an automated system as an effort to minimize the risk of fraud and forms of internal control efforts. The research method used is an agile method (to develop a web-based information system) and descriptive qualitative (to identify how to implement a strategy to minimize fraud and as an effort to carry out internal control). The results of this study provide information that the implementation of an integrated web-based system which in this study is referred to as ISSS, can assist companies in improving internal control through the efficiency and effectiveness of business processes which are also visualized in the BPMN notation. This study also explains that implementing a web-based information system presented in the ISSS makes it easier for companies to minimize fraud to reduce material losses.
Workforce training: An application trough an 3DVLE on Unreal Engine

This work shows the development of a 3D virtual environment with several interactive interfaces, whose purpose is to be a tool that facilitates the training task of the workforce that operates the vertical packaging machine of TERRAFERTIL S.A. To fulfill this purpose, the environment will emulate the operation and interactively present the calibration for the packaging of crunchy granola in its 340 grams presentation. SolidWorks and Blender are used to model the 3D objects. Subsequently, the “Unreal Engine 4” game engine is used for the creation of the virtual environment, where the 3D objects previously created are imported and the programming of the operating logic, calibration, and user interactions is performed. Finally, the environment is tested to verify its operation and validated through testing by the workers who operate the real machine. Their perception of the environment is collected through a survey and the results are tabulated to rate important aspects of the environment such as its visual validity, physical fidelity, ease of use, and fidelity of the representation of the machine's operation and calibration
Rethinking the Meaning of Digital Society: Transitional Characteristics and Implications as a Complex Space for Safety and Security

오늘날 디지털 공간이 갖는 광범위한 공유와 확장성을 고려할 때, 우리는 디지털 사회의 안전 가치를 새롭게 이해해야 할 필요가 있다. 무엇보다도, 디지털 사회에서 발생하는 위험 양상들은 ‘안전(safety)’과 ‘안보(security)’로 이분화되었던 전통적인 물리적 환경과 구별되는, 안전 개념에 대한 포괄적 해석을 필요로 한다. 본고는 이 같은 전통적인 이분법적 접근 방식이 디지털 공간의 위험을 설명할 때 부딪히게 되는 한계점을 짚어볼 것이다. 특히, 의도성, 위해 요인, 적용 범위 등의 측면에서 디지털 사회의 안전 개념을 물리적 환경의 안전과 안보가 결합된 의미로 해석해야 함을 주장하고자 한다. 이를 뒷받침하는 사례로서 디지털 기반 사회의 위험 요소 발현 과정에서 관찰되는 안전과 안보의 혼재된 양상들이 세 가지 특징으로 발현되고 있음을 제시한다. 위험의 대상과 수단의 확대가 낳는 ‘규모의 전환’, 위험 적용의 범위와 경계의 초월성을 보여주는 ‘경계의 전환’, 물리적 공간에 통제의 불확실성을 지닌 새로운 위험의 출현으로서 ‘진화체의 창발’이 그것이다. 이 같은 특징들은 마찬가지로 디지털 사회의 안전관리에 대한 접근 방식에도 영향을 미치고 있다. ‘대응 주체’와 ‘대응 수단’, ‘대응 원칙’에 대한 전환 또한 필요한 이유이기도 하다. 본고는 디지털 사회의 위험 양상의 변화에 조응하여 위 세 가지 측면의 대응 방식의 전환이 갖는 의미를 짚어보고 아직 많은 부분에서 물리적 패러다임에 머물러 있는 제도와 문화의 개선을 위해 안전 개념과 인식의 전환이 필요함을 강조한다. Considering the widespread sharing and scalability of digital space, it raises the need for modern people to newly understand the meaning and value of a safe life. Above all, the risk patterns arising from digital society require a comprehensive re-interpretation of the concept of safety, distinct from the traditional physical environment that was dichotomized into ‘safety’ and ‘security’. This paper will address the limitations encountered when the dichotomous approaches of ‘safety’ and ‘security’ explain the risks of digital space. In particular, the paper argues that the concept of safety in a digital society should be interpreted more comprehensively in terms of intentionality, risk factors, and scope of application. As an example supporting this, it presents that the mixed aspects of safety and security observed in the process of manifesting risk factors in a digital-based society are appeared as three characteristics. These are the ‘transformation of scale’ caused by the expansion of objects and means of risk, the ‘transformation of boundaries’ showing the scope of risk application and transcendence of boundaries. Likewise, these characteristics are affecting the approach to safety management in a digital society. This is also why it is necessary to change the ‘responding subject’, ‘responding means’, and ‘responding principle’. This paper points out the meaning of the shift of the responding way in three aspects in accordance with changes in the risk pattern of a digital society, and emphasizes the need to change safety concepts and perceptions to improve the system and culture that still remain in the physical paradigm in many areas.
MSDeveloper: A Variability-Guided Methodology for Microservice-Based Development

This article presents a microservice-based development approach, MSDeveloper (Microservices Developer), employing variability management for product configuration through a low-code development environment. The purpose of this approach is to offer a general-purpose environment for the easier development of families of products for different domains: a domain-oriented development environment is suggested, where domain developers and product developers can utilize the environment as a software ecosystem. Thus, genericity is offered through supporting different domains. A domain is populated with feature and process models and microservices in a layered architecture. Feature models drive the product configuration, which affects the process model and the microservice layer. An experimental study was conducted to validate the applicability of the approach and the usability of the development environment. Students from different courses were assigned system modeling projects where they utilized helper tools supporting the provided methodology. Furthermore, professional software developers were consulted about this recommended domain-oriented development environment. Feedback from student projects and professionals’ remarks are analyzed and discussed.
The Relationship among Mindset, Sensory Seeking, and Subjective Well-Being of College Students Participating in Liberal Sports Classes

목적: 본 연구의 목적은 교양체육수업에 참가하는 대학생의 마음가짐과 주관적 웰빙의 관계에서 각성추구성향의 매개효과를 검증하는 것이다.방법: 이를 위해 전국의 5개 대학교에서 교양체육수업에 참가하는 대학생 361명을 대상으로 설문조사를 진행하여 결과를 도출하였다.결과: 교양체육수업에 참가하는 대학생의 성장마음가짐은 각성추구성향에 정(+)적으로 유의한 영향을 미치는 것으로 나타났고, 주관적 웰빙에도 정(+)적으로 유의한 영향을 미치는 것으로 나타났다. 또한 각성추구성향은 주관적 웰빙에 정(+)적으로 유의한 영향을 미치는 것으로 나타났으며, 성장마음가짐과 주관적 웰빙의 관계에서 유의한 간접효과가 있는 것으로 나타났다. 반면, 고정마음가짐과 주관적 웰빙의 관계에서 각성추구 성향의 매개효과는 통계적으로 유의한 효과가 없는 것으로 나타났다.결론: 이상의 연구결과는 대학생들이 지닌 성장마음가짐을 통해 새롭고 흥미로운 자극을 추구함과 동시에 삶에 대한 웰빙을 향상시킬 수 있음을 시사한다. Purpose: The purpose of this study was to examine the mediating effect of sensory seeking in the mindset and subjective health relationship of college students participating in liberal sports classes.Methods: In order to achieve this purpose, this study conducted a questionnaire survey and analysis of 361 college students who participated in the course of liberal sports classes in the five universities, and the results were obtained.Results: First, the growth mindset of college students participating in liberal sports classes had a positive (+) and significant direct impact on sensory seeking, and a positive (+) and significant impact on subjective well-being. In addition, sensory seeking had a positive and significant effect on subjective well-being and had a significant indirect effect on the relationship between growth mindset and subjective well-being. In contrast, the mediating effect of sensory seeking was not statistically significant in the relationship between the fixed mindset and subjective well-being.Conclusion: The above findings suggest that college students participating in liberal arts class can pursue new and interesting stimuli through a growth mindset as well as increase their life satisfaction.
The Main Actor &amp; Final Actors

In Chapter 6 , we learned about actors. Actors are reference types that synchronize their own internal state, so it is safe to mutate them from different threads. This is done by guaranteeing that only one task or thread can mutate the actor’s state at a time. Actors are sendable types meant to be used in a concurrent context. Actors are types that you instantiate and, for the most part, treat as normal classes. But what happens when we need something that is always guaranteed to run on the same thread, but when it may be spread out, even across different files?
Managing Security Threats through Touchless Security Technologies: An Overview of the Integration of Facial Recognition Technology in the UAE Oil and Gas Industry

Throughout the past few years, the oil and gas industry in the United Arab Emirates has grown significantly, and is currently one of the top ten oil producers in the world. As a result, it is at risk of physical security threats, including theft, unauthorized access, vandalism, espionage, and other incidents which could disrupt its operation. Consequently, significant investments in the latest security technologies are necessary to protect this critical infrastructure and maintain its international standing. Therefore, the main objective of this study is to examine whether integrating facial recognition technology (FRT) with a physical security system in this sector would improve physical security performance and efficiently mitigate potential threats. A quantitative approach was applied to collect the essential information with a sample size of 371 selected through a simple random sampling method to ensure the validity and reliability of the research results. In addition, regression analysis was conducted using Smart-PLS version 3.3.9 based on (SEM) to define the significant relationships between the hypothesis applied in the conceptual model. Furthermore, the findings were significant as they provided the basis for future studies for the practical application of FRT to enhance the UAE oil and gas company’s resilience to physical security threats.
Vision-based Gesture Tracking for Teleoperating Mobile Manipulators

—In unconstrained environments, teleoperation exists in consumer-level robots. Motion capture technology has been shown to shrink the skill gap between end user and teleoperation of robots, however, the equipment is getting more expensive and complex such as with motion capture suits. This paper provides a vision-based method with a camera to reduce costs and make teleoperation accessible for consumers. The hand coordinates received from the camera are estimated through Google MediaPipe, a hand posture estimation package. Teleoperation strategies are composed of coordinates and hand gestures. We conduct a simulation study on the Husky robotic platform with a manipulator in PyBullet and demonstrate the control framework through various gestures.
Effect Analysis of the College Students’ Creative Problem Solving Class Using E-Learning

Objectives The purpose of this study is to verify the effect of creative problem solving class using e-learning on creative self-efficacy, routine creativity, and problem-solving ability of college students. Methods The class content used in this study was composed based on previously published problem-solving skills textbooks and reference materials. The subjects of this study were 42 students, 22 students who took the e-learning creative problem-solving course opened as a liberal arts course and 20 students who took the general e-learning course at a 4-year university in Busan. As a survey tool, creative self-efficacy, routine creativity, and problem-solving ability scales were used. Results As a result of the study, the creative self-efficacy of college students who participated in the creative problem-solving class using e-learning improved statistically and significantly, but in comparison with the comparison group, there was a statistically significant difference only in creative thinking self-efficacy, which is a sub-factor of creative self-efficacy. In addition, in routine creativity and problem-solving ability, there was no statistically significant difference in comparison with the comparison group. Conclusions These results show that creative problem-solving class using e-learning for university students did not have the same effect as the existing face-to-face teaching methods (discussion-based learning, project(problem) based learning, etc.) However, it confirms the fact that it can be of some help in making college students have the belief that they can be creative or develop alternatives to problem-solving.
A Robust Recommendation Algorithm for Campus Cultural Education Resources Based on Collaborative Filtering

In order to improve the recommendation accuracy of teaching resources, a recommendation algorithm for campus cultural education resources based on collaborative filtering is designed. The method proposes to build a user interest model, dynamically fine-tune the teacher and student models as the amount of data continues to increase, and acquire students' interest models in a course in real time. Based on the collaborative filtering algorithm, the similarity of recommended resources is calculated, and the similarity between students' interests and the course is calculated; the recommendation algorithm of campus cultural education resources is designed, and the recommendation method of teaching resources is obtained. Comparing several different resource recommendation algorithms, it can be seen from the experimental data that when the similarity threshold is the same, the accuracy of the collaborative filtering method is the maximum among the three comparison methods, and the recall rate is the minimum. The average absolute error of the four algorithms can reach the minimum value when the similarity threshold is 0.3-0.4. At this time, the error value of the collaborative filtering method is 0.62, and the average absolute errors of the other two methods are 0.63 and 0.88, respectively. It can be seen that the recommendation accuracy of this method is better than the other two methods.
A Study on the Conceptual Learning of Gugak in Elementary Schools by Curriculum Revision Period

This study aims to derive implications for conceptual learning of gugak by examining teaching contents of gugak concepts of elementary school by curriculum revision period, before the revision of a new curriculum.&#x0D; In the music curriculum, conceptual learning was applied from the 4th curriculum period. However, it is necessary to reconsider that, by specifying an understanding of the elements common to all music as teaching contents and equating music concepts with music elements, the seven musical elements of the initial document of the curriculum were conceptualized and have been applied to the present.&#x0D; As gugak concepts, modes for folk music and scales for gugak were presented from the first to the fifth period, jangdan (rhythmic cycle) in the sixth period, sigimsae (musical ornaments) and forms in the seventh period, and se (accents), jangdan-styles, malbuchimsae (rhythm of the lyric) and hanbae (tempo) have been defined and used from the 2007 revision to the present. However, it is hard to know how to deepen or expand the concepts of gugak depending on learners' level or song materials. It is also necessary to consider whether the performing attributes of gugak such as vocalization, singing methods, posture, and performance forms cannot be gugak concepts.
Metamaterial slows light for quantum computing

On-chip microwave waveguide with coupled superconducting qubits retards light by a factor of 1500.
Cyber-Physical Systems Attacks and Countermeasures

The overall increase in cyber-physical systems (CPS) has led to the emergence of new security challenges. Numerous vulnerabilities, threats, attacks, and controls have been implemented for the future version of CPS. The rapid and considerable rise of CPS has had an impact on the general wellbeing of people and encouraged the creation of a relatively large variety of services and applications, including electronic healthcare, smart homes, and electronic commerce. Interconnecting the virtual and real worlds, on the other hand, presents new and critical security challenges. However, there is a scarcity of systematic reviews of CPS security research. The heterogeneity of CPS components, as well as the diversity of CPS systems, has hindered attempts to investigate the problem using a single generalized model. This study looks at the various forms of attacks that can be performed in CPSs, as well as mitigation approaches and attack defensive strategies. Existing security approaches are also provided and examined, as well as their key limitations. Finally, a few suggestions and recommendations are made in context of the key findings throughout this in-depth review.
KNOWLEDGE MANAGEMENT IMPLEMENTATION AND IT'S AFFECT ON SAUDI ARABIA

This paper aims to investigate the current knowledge management (KM) practices and models proposed, strategies and frameworks used in different countries and sectors, and the impact and results of using KM on the organizations working towards effectively activating knowledge management.Using the term "knowledge management in the public sector", a search for available works is done in Google Scholar.In the main stage, the quest for writing distributed under whenever decision was done in the initial ten pages of the web search tool.Then, at that point, one more nine page of Goggle Scholar were looked for later works distributed, setting the time as 2014 to 2018.The quest yielded 84 usable works for this audit.This writing searches and survey results showed that out of the 47 works looked into, simply three works were identified with Saudi Arabia.A few works from Sub-Saharan Africa and African countries may also contain findings relevant to Saudi Arabia.Findings related to specific country contexts were maximum in numbers.There were also several papers specifically dealing with specific public sectors like health care.KM modeling itself is not easy as only very few papers on KM modeling were available.This study applies to Saudi Arabian public sector organizations.There is a strong opportunity for research in Saudi Arabia mainly because of the country's growth and progress.