Reviewerly/exHarmony huggingface dataset:
Comparative Analysis of SVM and Perceptron Algorithms in Classification of Work Programs

Government agencies are required to mobilize every aspect of publication which is carried out every year which must be accounted for and also carried out for each device that receives it such as assisted villages by utilizing available apbd funds in maximizing work programs designed so that they can be implemented optimally and effectively. by getting the best from all aspects of the work program implementation, of course there are important points in designing an annual work program without exception. data mining itself can help the department of population, family planning, women's empowerment and child protection in analyzing each work program design from before it is implemented onwards to look at various aspects of past data whose grouping is in the form of classification. The purpose of this study is to build a classification model with the addition of a sigmoid activation function that uses svm and perceptron to obtain a comparison value for the accuracy of the algorithm used to obtain the best working program design. The classification results are used to get the best value for classifying the best P2KBP3A work program dataset where it can be seen that the average accuracy value is 87.5%, the f1 value is 82.2%, the precision value is 80.2%, and the recall value is 87.5% so that the final result of the research results obtained a good accuracy value.
Suitable Scalability Management Model for Software-Defined Perimeter Based on Zero-Trust Model

The software-defined perimeter (SDP), a zero-trust model developed by the Cloud Security Alliance, has been attracting attention in the technological industry since its introduction to a world adapting to digital transformation. Many trust models have been introduced to meet the growing demands for cyber security, such as the public key infrastructure, soft-ware-defined network, and virtual private network. SDP has particularly gained importance as a zero-trust model because no one in the digital world can be trusted. With the introduction of new models and technical devices, there is now a need to improve newly introduced technology on various grounds when customers adapt to devices. In this work, we discuss how to overcome the current issues of SDP relating to scalability, reliability, usability, etc. As the number of organizations that share information online continues to expand, there is a need for scalable and reliable SDP models that are both easy to maintain and cost efficient for evolving organizations. To meet this need, we proposed several scalable SDP models that enable easier installation management of real networks of organizations with different organizational structures. Specifically, we propose hierarchical, bridge, hybrid, and mesh models. The results of qualitative and quantitative evaluations showed that the bridge model is the most suitable of the four as an extension of SDP.
The Role of Business Incubators in Promoting Entrepreneurship of Higher Education Institutions

This study aims to measure the influence of university incubators on promoting the culture of entrepreneurship and to what extent these incubators guide and motivate students, teaching staff, and university employees to achieve entrepreneurial achievements in various disciplines and fields. The questionnaire was used as a tool to collect the required data. The study population consists of students, teaching staff, administrators, and employees from almost all Jordanian universities, which are estimated to be more than tens of thousands. We distributed the questionnaire among 14 universities, and only 310 responses were collected.Based on the results of the questionnaire that were statistically analyzed, presented, and processed we believe that business incubators are like any existing project. Universities must pay attention to all matters that may lead to their success, including attention to all administrative, financial, and marketing matters, in addition to paying attention to all work they carry out, including the mechanism of helping small projects. It is necessary to introduce an entrepreneurship course within the compulsory requirements at the university level and for first or second-year students, because of its importance in spreading the culture of entrepreneurship among students. We hope that our recommendations will change the horizons of the university community and intellectual level and convert graduate students from “job seekers” into “job creators” which strongly contribute to solving unemployment and poverty problems.
Development of a Solution for Mortality and Injury Problems among Juvenile Using Motorcycles in Muang District, Nakhon Nayok

This study aimed to develop a curriculum for road safety education for juveniles using motorcycles, to implement the road safety education curriculum using a website for a learning center on solutions for mortality and injury, and to evaluate the effectiveness of implementing the road safety education curriculum for juveniles who use motorcycles in educational institutions in Nakhon Nayok province. The study found that assessing the effectiveness of implementing the road safety education curriculum for youngsters who use motorcycles at academic institutions in Nakhon Nayok province led to the development of the potential of leading teachers in the province. The effectiveness of the curriculum was evaluated regarding knowledge development and attitude towards safety among school teacher groups. A comparison was made on road safety knowledge based on the developed curriculum among 31 teachers (21 males and ten females) who underwent training before and after the implementation. The statistical method used was the dependent t-test. Most (74.2%) had a driver’s license, and most (90%) had experience teaching students about safety. The results of the evaluation of the effectiveness of the test on knowledge about road safety according to the developed training course for teachers, using a dependent t-test to test the research hypothesis, showed a statistically significant difference at the .05 level (p=.00, t=11.32). The average knowledge score after training was higher than before training. Before the training, the average score was 13.4, and after the training, the average score was 24.0. The evaluation result of the website for a learning center on solutions for mortality and injury among juveniles who use motorcycles was overall at the highest level (x ̅=4.43, S.D. = 0.45).
Developing a Virtual Engineering Lab Using ADDIE Model

In recent years, digital competence has become essential at the workplace. There is a growing demand for engineers with both employability and digital skills. As a result of the technological advancements, the Virtual Laboratory (VLab) concept was created to provide students with a safe environment to acquire the skills and enthusiasm to enhance the delivery of STEM (Science, Technology, Engineering, and Mathematics) subjects. This study presents a VLab developed using ADDIE model design criteria that allows users to perform VLab in engineering education. Users were able to carry out experiments individually or collectively, creating an effective, flexible learning environment for students. This was integrated smoothly into the Campus Moodle platform learning environment. The VLab design and implementation details are explained and validated through Alpha and Beta acceptance testing. A mixed-methods research design was used to collect and analyse the data. Questionnaires were used to collect quantitative data from 144 students, and 17 of them were interviewed to collect qualitative data. The findings revealed that the VLab is a collaborative, effective, and interactive learning environment that develops graduates' knowledge, soft skills, and digital skills while also improving their competencies relevant to the enhancement of digital skills at their workplace. As a result, lecturers are recommended to use VLab to enhance the quality of teaching and advance the learning experiences of their students.
Probability prediction of solar irradiance in the tropic using ensemble forecasting

Abstract As photovoltaic (PV) power generation systems become more widespread, the instability of electric power grids with PV connection is becoming an issue. For appropriate management of the grids, probability prediction of solar irradiance is proposed. The lagged average forecasting method is used for ensemble forecasting. The 72 h ahead forecasting of solar irradiance is operated in Thailand once a day, and it contains intraday, next-day, and 2-day ahead forecasts. Ensemble forecasting has three ensemble members. The accuracy of intraday forecasting is higher than that of the other members, and it is employed as the most probable value of the forecast. The relation between spreads and forecasting errors is analyzed. From the result, the confidence intervals of the predictions are derived for an arbitrary confidence level. The probability prediction is performed with the most probable value and the confidence intervals. The interval changes its width due to spread changes and captures the observation in it.
Nighttime pedestrian detection based on Fore-Background contrast learning

The significance of background information is frequently overlooked in contemporary research concerning channel attention mechanisms. This study addresses the issue of suboptimal single-spectral nighttime pedestrian detection performance under low-light conditions by incorporating background information into the channel attention mechanism. Despite numerous studies focusing on the development of efficient channel attention mechanisms, the relevance of background information has been largely disregarded. By adopting a contrast learning approach, we reexamine channel attention with regard to pedestrian objects and background information for nighttime pedestrian detection, resulting in the proposed Fore-Background Contrast Attention (FBCA). FBCA possesses two primary attributes: (1) channel descriptors form remote dependencies with global spatial feature information; (2) the integration of background information enhances the distinction between channels concentrating on low-light pedestrian features and those focusing on background information. Consequently, the acquired channel descriptors exhibit a higher semantic level and spatial accuracy. Experimental outcomes demonstrate that FBCA significantly outperforms existing methods in single-spectral nighttime pedestrian detection, achieving state-of-the-art results on the NightOwls and TJU-DHD-pedestrian datasets. Furthermore, this methodology also yields performance improvements for the multispectral LLVIP dataset. These findings indicate that integrating background information into the channel attention mechanism effectively mitigates detector performance degradation caused by illumination factors in nighttime scenarios.
Underwater polarization image restoration based on a partition method

The quality of underwater polarization imaging is mainly affected by the polarization properties of the target and impurity particles. Traditional methods often assume uniform polarization characteristics of the target, which make it difficult to address the restoration issues of complex targets. In response, a partition-based method for recovering underwater polarization images is proposed. The method involves pre-processing the image using the Gaussian curvature filtering algorithm, partitioning the image based on polarization information. In addition, a joint image evaluation method is used to achieve restoration of complex polarized characteristic targets. The method estimates the value of the reflected light polarization of one partition to estimate the value of the next partition and links the polarization values of each partition. Our approach achieves clear restoration results for multiple targets or complex structural objects underwater. Achieving significant improvement in image quality in multi-target underwater scenes, our method is highly effective for complex underwater environments. Experimental results show that our method, when compared with three other newer methods on multiple images of different targets and under varying scattering conditions, achieves an average increase of 617% in the standard deviation image evaluation index and a 61% optimization in the natural image quality evaluator index. Furthermore, our method is robust for different degrees of water turbidity.
Texting as a language tool in academic writing: A study of EFL learners’ output at Qassim University, KSA

Leaners in the EFL paradigm struggle to achieve communicative proficiency with writing being the skill most challenging to them. However, in the technologically driven generation of learners, the specialized register seen in their texting language affords them language flexibility with lack of proficiency being compensated with its features. This study verifies how far the academic writing of 48 Saudi EFL male learners across three years of undergraduate studies is affected by the text messaging (textese) register. A deep analysis of randomly selected class notes, assignments, and exam papers was underetaken. Results showed that the Saudi learners' textese is characterized by vowel dropping (48%) and phonetic replacement (32%) amongst other features. Textese was apparent higher with second year participants which occurred 580 times, followed by third year corpus which appeared 552 times. Their occurrence was least in the first year amongst the three groups. Their non-standard English occurred 549 times. Finally, the maximum occurrence of this deformed language is in the modified (and abbreviated) spelling, heightened use of phonetic spelling, abbreviated and acronymical forms amounting to free moving syntax. The absence of this in the exam papers establishes the fact that use of this truncated form of language does not adversely affect the learners’ exam performance, rather it is used much like the earlier generation used shorthand with the difference that in the former the user need not take any training. Thus, Textese is a language affiliate more than a language substitute for the Saudi EFL learners and may have beneficial learning outcomes in the long run.
Server Type Comparison of A-txt System -Intranet with and without Internet-

The Active Textbook System (A-txt) and Contents Maker (C-mkr) are applications that can be used by both teachers and students to improve the quality of education because anyone can easily add digital information to existing paper-based teaching materials using a general-purpose terminal and Augmented Reality (AR) technology. These applications need wireless network (Wi-fi) environment, but the Wi-fi doesn't need to connect to the Internet. This time, we have considered how to use those applications in the intranet environment and the Internet environment, and also improved the applications itself.
CURE: A Hierarchical Framework for Multi-Robot Autonomous Exploration Inspired by Centroids of Unknown Regions

In this paper, a novel multi-robot autonomous exploration approach CURE is proposed based on dynamic Voronoi diagrams and centroids of unknown connected regions. Compared with existing approaches, the novelty of this work is twofold: 1) Dynamic Voronoi diagram is used for partition of the space being explored to improve the efficiency of multi-robot exploration, and then a new parameter-insensitive utility function is elaborately designed to evaluate the information of centroids, which helps guide the robot to explore unknown regions. 2) A hierarchical framework consisting of global and local exploration windows for detecting centroids is designed, wherein the global exploration window is activated to find centroids to guide the robot exploration when there are no centroids in any one local exploration window. We validate the feasibility and exploration efficiency of the proposed approach in various complex simulation scenarios and challenging real-world tasks. All test results show that the exploration time consumption and path cost are reduced by up to 50.7% and 34.4%, respectively, compared with an advanced RRT-based multi-robot exploration approach. (Supplementary video link: https://youtu.be/P5jXKlGQOec) <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper is motivated by the efficient multi-robot autonomous exploration problem. In some applications such as target search and disaster rescue, the information about the environment is totally unknown to the robots, and thus they are required to explore unknown environments autonomously. In this case, it is necessary to improve the efficiency of multi-robot exploration due to the time limitation of the task and the battery capacity. In this paper, a hierarchical framework is proposed to improve the efficiency of multi-robot autonomous exploration. Each robot only needs to explore the Voronoi partition it is responsible for and is guided to the unknown region by the centroid detected in the global and local exploration windows. Overall, the proposed approach can dramatically reduce the exploration time and path cost.
Adaptive image watermarking using bidimensional empirical mode decomposition

Digital watermarking is considered one of the technological means used to guarantee the security and authenticity of data transmitted over communication systems. A new method of image watermarking using the bidimensional empirical mode decomposition (BEMD) will be presented in this article, where the new idea is to use the BEMD of both the cover image and the watermark image. The embedding process consists of adding to each intrinsic modal function (IMF) of the cover image the corresponding IMF of the watermark image. The watermarked image contains three different watermarks and appropriate frequencies, which makes it more robust. We use this method for two reasons: first, to conserve the constituent characteristics of each IMF and second, to ensure the invisibility of the watermark. The results obtained showed a good response against different kinds of attacks. This technique has been compared with other methods of image watermarking based on decomposition BEMD, which showed good results.
Experiences with a training DSW knowledge model for early-stage researchers

Background: Data management is fast becoming an essential part of scientific practice, driven by open science and FAIR (findable, accessible, interoperable, and reusable) data sharing requirements. Whilst data management plans (DMPs) are clear to data management experts and data stewards, understandings of their purpose and creation are often obscure to the producers of the data, which in academic environments are often PhD students. Methods: Within the RNAct EU Horizon 2020 ITN project, we engaged the 10 RNAct early-stage researchers (ESRs) in a training project aimed at formulating a DMP. To do so, we used the Data Stewardship Wizard (DSW) framework and modified the existing Life Sciences Knowledge Model into a simplified version aimed at training young scientists, with computational or experimental backgrounds, in core data management principles. We collected feedback from the ESRs during this exercise. Results: Here, we introduce our new life-sciences training DMP template for young scientists. We report and discuss our experiences as principal investigators (PIs) and ESRs during this project and address the typical difficulties that are encountered in developing and understanding a DMP. Conclusions: We found that the DS-wizard can also be an appropriate tool for DMP training, to get terminology and concepts across to researchers. A full training in addition requires an upstream step to present basic DMP concepts and a downstream step to publish a dataset in a (public) repository. Overall, the DS-Wizard tool was essential for our DMP training and we hope our efforts can be used in other projects.
Controlled Illusion. Recursion as Emotional Suggestion in Post-Cinematographic Space

The article deals with an aspect of the phenomenon of controlled illusion — manipulating emotional reactions and behaviour through the space of an artificially created reality. The subject of the article is a relevant feature of the process — recursion within a fictitious space. The methods of mass suggestion become more complicated with each step of evolution, borrowing the techniques of the past and multiplying them by the technologies of the present. Today’s technologies create a process of self-repetition of elements — a process within a process: artificially created illusions are embodied and massively repeated as patterns. Nowadays, controlled illusion generates a problem of imbalance between the accumulated practice of control and an individual’s ability for distancing. The urgency of the problem is due to the obvious dominance of the methods of manipulating public conscience over the development of an individual via industries of culture. The aim of this article is to define the role of sensory suggestion capabilities through control spaces in the 21st century. The objective is to consider the features of the effects of radiance, the influence of flickering light, and the imitation of the world by adomed structure. These effects stem from the Baroque era, are passed on in evolution, and carry a suggestive potential through an emotional factor. While borrowing and accumulating the techniques of the past, new tools such as artificial intelligence, communication networks, electronics, and biotechnologies bring new qualities to manipulations, including a multisensory impact. The author proposes to reconsider the traditional view on the role of algorithms in cultural objects: what until recently was negatively described as “inanimate” and programmed is now able to control and reveal the emotional potential of a person. The outcome depends on what the algorithms are trained for, who trains them and why. The social function of illusionism is either commercial and political benefit or the promotion of an inclusive culture and the development of a person and their abilities. This cannot but affect the role of designer and artist, whose activity today is increasingly moving away from the decorative and turning to interaction through scientific approaches, which determines the property that offers a choice of path and goal in illusionism.