Reviewerly/exHarmony huggingface dataset:
Authorship Behavior in the Articles Appeared in Library Philosophy and Practice

This article presents a study about the authorship behavior and the collaboration pattern for the articles that appeared in the journal Library Philosophy and Practice during 2011-2016. The Zipf’s law of word occurrence and Lotka’s law are tested for this research. Further, the collaboration index, degree of collaboration, average paper per author, average author per paper, national and international collaboration is investigated for the period of study.
Intelligent encryption method for wireless sensing signal of underwater vehicles

An intelligent encryption method of wireless sensing signal of underwater vehicles based on compressed sensing is proposed. The compressed sensing theory was used to collect the wireless sensing signal of underwater vehicles, observe the signal, reduce the dimension of signal, and then construct the observation matrix. Based on the constructed observation matrix, Hamming window was used to process the wireless sensor signal. After the framing processing, discrete cosine transform was used to enhance the sparsity of wireless sensor signals and improve the effectiveness of encryption. Finally, the signal encryption and decryption were realised by chaotic scrambling and its inverse process. The experimental results showed that compared with the traditional encryption method, the proposed intelligent encryption method had a lower intrusion rate and had better encryption effect via resisting the interference of white noise. The maximum rate of the proposed method was 2.72 KB s−1, the maximum occupied space was 19 KB, and the residual error of the proposed method was the largest when the sparsity was 60, which was 4.5×10−14, which was much lower than that of the other two methods.
Acceptability of the Developed Geographical Information System for Janosa National High School

Abstract: This study is focused on the acceptability of the developed Geographical Information System for Janosa National High School, an island school located in Janosa, Talim Island in Binangonan, Rizal. In order to obtain reliable results, a questionnaire-checklist was developed which ascertained to fit the existing culture of the subject in terms of their knowledge of the school and the information about it. Data for the school geographical information system was obtained through documentary analysis. The geographical information system covers the most important factors that will help the user be familiarized with the premises of Janosa National High School such as Page, History, Faculty and students. There is also a part where everyone can get information about the school. The respondents of the study were 50 grade 10 students and 42 teachers of the said school. Developmental research and descriptive evaluative research design were applied in the study. A standardized questionnaire checklist from the Institute of Engineering Electronics Evaluation (2010) was adapted to determine the level of acceptability of the developed Geographical Information System with respect to accuracy, applicability, user-friendliness, workability completeness, portability, modifiability and clarity. Based on the analysis and interpretation of data, the system covers the most important factors that will help the user be familiarized with the premises of Janosa National High School such as: Home Page/Introduction, Directory, History, Faculty, Student, and Contact Us Page
Application of the LCM Method in Randomizing Colloid and Electrolyte Questions for Basic Chemistry Subjects at SMP N 45 Medan Based on Android

The learning process that is only guided by the teacher and textbooks greatly affects the learning outcomes of students because not all students are involved in the learning process. In providing learning materials, there are some students who will feel bored and bored in receiving teacher explanations. The problems that occur include the lack of interest in learning and the attraction of students to learning materials that are considered difficult, difficult to understand, and there are certain terms in the material. the. And from the previous mapping, it was found that some students who were less able to accept learning were still in one direction, namely by learning from teacher to student. With the application of technology that will give a touch to students through an application that is embedded in a system on Android mobile or often called a smart phone. So that the increase in learning can be assessed as effective and efficient through a Smart Phone. Apart from that, this system also provides convenience in addition to learning students are also given a test or hone their skills related to the material they understand from a topic. Where practice questions are randomized systematically using the Linear Congruent Method (LCM)
Evaluation of Discretization Effect Towards Numerical Data for Data Protection

We evaluated a method to protect individual privacy. Existing privacy methods create a trade-off between confidentiality and openness. To balance these, we evaluated the effect of discretization on protecting confidential numerical data. We evaluated a method that uses discretization by frequency or binning and adjusted the discretization parameter. By adjusting the number of bins, we showed that anonymized data is 30% harder to de-anonymize during data reconstruction attacks.
Newbie at CUHKSZ: A Voxel Art Puzzle Game for Campus Orientation

Due to the COVID-19 epidemic prevention policy, many university freshmen are unable to visit their schools in person. As a remote campus orientation tool, we propose Newbie at CUHKSZ, a voxel art puzzle game, for the incoming students to explore The Chinese University of Hong Kong, Shenzhen (CUHKSZ) in an interactive way. We crowd-sourced the digital model of the CUHKSZ campus and created Non-Player Characters (NPCs) as digital twins of our staffs in the virtual campus. Furthermore, we designed school traditions related puzzle tasks to lead an interactive campus tour and deliver humanistic values. The design of Newbie at CUHKSZ sheds light on a new way to engage the incoming students in a remote campus orientation event.
The importance of innovative pedagogical practices in the training teacher towards acting in EAD

We live in the technological age, in which the teacher is appointed a digital immigrant and needs to be able to plan and propose diversified activities to digital natives (apprentices) however, it is perceived that in the initial teacher training there is a gap1 related to the use of Digital Communication Technologies and Information (TDIC), a fact that directly impacts pedagogical practices. It is notorious that the learners of this generation evoke didactic strategies that not only make them protagonists of their learning but help them develop skills and competences for life. In this context, the general objective of this work was to promote innovative pedagogical practices in teacher education to work in distance education. From the readings performed, it is concluded that it is still a distant reality to insert innovative pedagogical practices in teacher education since, the mark of a traditional teaching still perpetuates both in face-to-face teaching and in education to distance, either due to the lack of knowledge of the new methodologies, as well as the resistance of teachers to change their teaching practice out of fear or insecurity. This research has a qualitative approach and the theoretical foundation was constructed through bibliographic reviews, articles, books and journals.
Comprehensive Framework-Based Reconfigurable Object Nets for Managing Dynamic Protocols Evolution

In the change management context, handling web service evolution is a challenging issue that aims to adapt deployed business processes to the perpetual changes occurring in enterprises environments. While existing approaches deal with the problem by focusing only on migratable instances, in this approach the authors propose a paradigm shift based on reconfigurable objects nets (RONs) to allow running service instances continuing their execution according to the evolved protocol specifications. In this approach, service protocols are modelled as petri nets, and changes are perceived as transformation rules. Further, reachability graphs are deployed for calculating migratable services instances after evolution. The conceived framework allows migrating active instances from the old protocol version to the evolved one. Web service protocol compatibility and replaceability aspects are addressed to distinguish migratable services instances from non-migratable ones. The authors illustrate their contribution and highlight advantages of using RONs through a real-world scenario related to the visa application service.
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Transfer Learning

In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep convolutional neural network based transfer learning mechanism. In the training phase, visual geometry group network (VGG16) classifier is fine-tuned using a limited medical facemask dataset with weights sharing from a large pre-trained ImageNet weight model. To build an accurate model, VGG16 needs an abundance of data. Thus, we deploy a pre-trained model to be built on ImageNet, a large visual database, for fine-tuning the VGG16 model using knowledge transfer. In the testing phase, models are tested with offline images and video streams for classification performance measurements. To test the effectiveness of the proposed method on the real-time video stream, we set up the video acquisition using the webcam and pass each frame through the XML classifiers.
Application of The WEBUSE Method in Analyzing National Industrial Information Systems

At this time the development of information systems is very rapid in various sectors. One of them is in the economic sector. Many information systems have sprung up in the economic sector, for example, the information system used by government agencies, namely the National Industrial Information System. The National Industrial Information System is an information system used by government staff to supervise data owned by each industrial company. This Information System has many features are home, industrial policies, e-reporting, helpdesk, and others. The application of an information system in an organization is inseparable from the user's perception of the information system. The Website Usability Evaluation (WEBUSE) method is an analytical method that allows users to assess the usability of the implemented web system. This method uses a questionnaire to obtain the required information. Therefore, this study uses the WEBUSE method in analyzing the National Industrial Information System to determine the value of the usability level of the system used. After doing the calculations, the results of the usability analysis of National Industrial Information System with the WEBUSE method get a point of 0.89 which includes an "Excellent" usability level. This usability level shows that the National Industrial Information System is following the wishes of its users.
Improved round-robin rule learning for optimal load balancing in distributed cloud systems

A newly emerging technology that distributes virtualised computer resources across the internet is referred to as 'cloud computing' and is gaining popularity. These clouds' ability to evenly distribute the load is vital. Load balancing in cloud computing distributes dynamic workloads so no database server is overcrowded or underloaded (LB). As a result, a dynamic load balancing technique in the cloud may contribute to improved service stability and resource utilisation. In this study, we model a load balancing system that balances the cloud's available resources using a rule-based round-robin method. Cloud parameters are used to calculate and allocate resources using a rule-based round-robin technique. The study analyses cloud metrics to determine cloud loads and resources. The cloud sim tool is used to allocate resources, and its effectiveness is tested against a variety of performance measures such as overhead, migration time, and throughput rate. Simulation results show that rule-based round-robin improves cloud performance. When compared to existing algorithms, the proposed methodology improves task performance by about 4%.
Repositioning industry R&amp;D units into tertiary education research laboratories

Research and development (R&D) play a crucial role in the development and sustainability of many economies. Therefore, world leaders in developed and developing countries have consciously engaged R&D activities to improve their cities, standard of living of its citizenry and installation of adequate military defence systems. Global spending on research and development (R&D) has reached a high of almost US $1.7 trillion dollars in 2017. The study posits that public and private firms can reposition its R&D units into research laboratories in tertiary institutions which can result in mutual benefits for both institutions. The study showed how industry R&D units can be interpolated with existing tertiary education research laboratories by developing a framework for successful integration and migration. In addition, the study showed that there are drivers and barriers in the collaborative framework between Industry and education research labs.
Development of SmartTrack with Authentication for Tracking Objects Business Promotion

Abstract: One of the most important and difficult duties of a smart video surveillance system is object tracking. The major purpose of this is to pinpoint the precise location of a specific item and to highlight that location with a buzzer and light. We considered secrecy when designing. We must protect the private documents. Therefore, we need to offer users permission before granting access to the location, buzzer, and light. This system was specifically created with authorization and confidentiality in mind. The various object tracking techniques that the researchers used are thoroughly reviewed in this publication. The purpose of this essay isto review numerous ways to object tracking and to examine, study, and evaluate them
Critical review of multi-dimensional aspects of performance management of South Korea

This chapter reviews the evolution of performance management in Korea by contrasting its rational and political aspects from 1998 to 2019. While performance management is regarded as the adoption of a business-like management in the public sector as the New Public Management argues, the Korean public administration has initiated different types of performance management ranging from the central government to public institutions. Whenever the new administration comes into power, the long list of president's agenda shapes the direction of performance management. However, the Framework Act on Government Performance Evaluation (FAGPE) of 2006, the active participation of civilian experts such as university professors in the evaluation process, and multi-level evaluation structures collectively make Korean performance evaluation system a core part of public administration and policy. Hence, despite the criticism that the Korean performance evaluation would be an imitation of the U.S. system especially the government performance results act of 1993, the Korean government has institutionalized its unique performance evaluation system over years.
Developing online teaching and learning

Trendsetter Presentation https://doi.org/10.26188/22106807.v1&#x0D; &#x0D; As an enthusiastic online teacher for more than two decades, I have learned a great deal over the years. This presentation will highlight a few selected lessons, from early realisations to covid-inspired learning. I will share a little of what I have learned from working with esteemed collaborators, including a glimpse of university students’ online learning experiences, and insights into developing online teaching in higher education through continuing professional learning.&#x0D; On the basis of research and experience, this presentation will draw parallels between learning online and learning to teach online. Key themes discussed will include diversity, agency, social learning, creativity, and continuity.&#x0D; Participants will be invited to reflect upon their own experiences and epiphanies as online teachers and learners.
Visual Object Tracking with Adaptive Template Update and Global Search Augmentation

The realization of human-machine-environment intimate interaction by intelligent robots is the research direction of cutting-edge exploration in the field of robotics. One of the important tasks is to realize active target tracking on the robot platform. Single-target tracking is subject to data changes such as target position and size in the video sequence, and is prone to target drift or loss when the environment changes drastically or is occluded. This paper aims at the application background of the intelligent foot robot platform, where deep learning technology is used to adopt adaptive multi-target tracking. The frame detection template updated Shuffle net V2–0.5 convolutional neural network builds a deep tracking model, which speeds up the model calculation. At the same time, the multi-template input ensures that the required target information can be located in a larger search image and a global search module is added. The target position re-detection is carried out, and the background enhancement training is integrated to significantly strengthen the discrimination ability of the global search network. The target tracking accuracy of the improved visual object tracking algorithm reaches 64.7%, and the accuracy of the target located at the center point of the marker frame reaches 86.8%, which is significantly improved compared with the traditional algorithm.
The Quest for Cognition in Purposive Action: From Cybernetics to Quantum Computing

Norbert Wiener and Nikolai Bernstein set the stage for a worldwide multidisciplinary attempt to understand how purposive action is integrated with cognition in a circular, bidirectional manner, both in life sciences and engineering.Such a 'workshop' is still open and far away from a satisfactory level of understanding, despite the current hype surrounding Artificial Intelligence (AI).The problem is that Cognition is frequently confused with Intelligence, overlooking a crucial distinction: the type of cognition that is required of a cognitive agent to meet the challenge of adaptive behavior in a changing environment is Embodied Cognition, which is antithetical to the disembodied and dualistic nature of the current wave of AI.This essay is the perspective formulation of a cybernetic framework for the representation of actions that, following Bernstein, is focused on what has long been considered the fundamental issue underlying action and motor control, namely the degrees of freedom problem.In particular, the paper reviews a solution to this problem based on a model of ideomotor/muscle-less synergy formation, namely the Passive Motion Paradigm (PMP).Moreover, it is shown how this modeling approach can be reformulated in a distributed manner based on a self-organizing neural paradigm consisting of multiple topology-representing networks with attractor dynamics.The computational implication of such an approach is also briefly analyzed looking at possible alternatives of the von Neuman paradigm, namely neuromorphic and quantum computing, aiming in perspective at a hybrid computational framework for integrating digital information, analog information, and quantum information.It is also suggested that such a framework is crucial not only for the neurobiological modeling of motor cognition but also for the design of the cognitive architecture of autonomous robots of industry 4.0 that are supposed to interact and communicate naturally with human partners.
Research, Direct Construction form Optical Characteristics – OCR using Department Technology

Optical character recognition – using a deep learning technique that describes an overview of optical character recognition, the basic steps in the optical character recognition problem. At the same time, the thesis introduces in detail the Long short term memory (LSTM) deep learning method and its application in optical character recognition. Through testing on a dataset of 10,000 license plate photos, the thesis showed that the application of the LSTM method is quite effective in optical character recognition.
Pemanfaatan Limbah Serbuk Kayu Karet Sebagai Olahan Baglog Media Tanam Jamur Tiram Untuk Meningkatkan Pendapatan Masyarakat

UTILIZATION OF WASTE WASTE AS A PROCESSOR OF OYSTER MUSHROOM CULTIVATION MEDIA TO INCREASE COMMUNITY INCOME. The purpose of this service is to help the partners of the Nagori Dolok Maraja Oyster Mushroom Group Group in utilizing Rubber Tree Sawdust Waste by handling it properly so that it does not cause disease to the body and does not harm the natural ecosystem. The selection of this location is because in the village there are community groups who are entrepreneurs under the auspices of the Oyster Mushroom Business Group. In addition to having difficulties in developing their business. From the activities carried out, data was obtained on the training of making oyster mushroom Planting Media Baglog which was reviewed from various aspects, including: Selection of raw materials, the average participant got a score of 80 or entered the very good category, for the cleanliness of the tools the average participant got a score too very good, namely 83, while for the processing of waste products or baglog waste, the assessment obtained is quite low, namely 74 but still in the good category. For the neatness of product packaging, a general rating of 82 or very good was obtained and for product cleanliness it was also in the good category with a score of 79. The methods used to achieve the objectives of the activity were methods of education, counseling, production training, business management training, and mentoring. This activity was carried out in Nagori Dolok Maraja, Tapian Dolok District. Assistance and guidance starting from aspects, utilization of sawdust or rubber to become Baglog Media for Growing Oyster Mushrooms, production systems and business management so that it is expected to create economic independence and increase business income.
Implementation of e-Reports as a Means of Complaints for the Society

Marga Karya Village is one of the villages located in Moyo Hulu District, Sumbawa Regency. The problem in Marga Karya Village is that in serving society complaints it is still manual and not computerized, where people come directly to the village office during working hours. This makes the process of service and delivery of information slow because it is limited by space and time. In fact, several village problems require a quick response and handling. In addition, data collection on public complaints is still recorded in a ledger which is carried out repeatedly. Based on these village problems, an e-report is needed as a means of reporting public complaints and making it easier for village office staff to record and process complaints as well as a means of conveying information regarding complaints that have been executed by the village. The e-report for Marga Karya Village was built using the prototype development method, and the system design used the Unified Modeling Language (UML). E-Lapor consists of 2 (two) user groups, namely the society and village officials. Residents will be able to access features in the form of Village Profiles, Reports, Report Status, Gallery, Contacts and Login. Meanwhile, village officials will be able to access the Complaints feature, Manage Complaints, Complaint Reports and User Data. . With e-Report, it facilitates communication between residents and the village in the service of complaining about the condition of village facilities without time and space limits