Reviewerly/exHarmony huggingface dataset:
Image Merging Technique for a Camouflage Surveillance Robot

There has been a rise in recent years in demand for advanced surveillance technologies for various applications, including military, law enforcement, and reconnaissance. Many innovative spying gadgets are being developed for stealthy surveillance; however, the effectiveness of surveillance technologies can be compromised if the surveillance tools are easily detectable or conspicuous. This is where camouflage comes into picture. Camouflage has long been recognized as a strategic technique for concealing objects or individuals in their surroundings, making them blend in and avoid detection. In this paper we propose the idea of a camouflage spy robot with features like audio and video surveillance. The camouflaging technique proposed in this paper is to cover the robot body with screen and displaying a camouflage image on the screen which makes the robot blend into the surroundings. A prototype of the camouflaging action is developed with the help of raspberry pi board, display screen and a camera. The camouflage image generation is based on the image merging concept, the surrounding images are captured and are merged to form an image which is displayed then displayed on the screen which acts as a camouflage image. The proposed camouflage spy robot has the potential to revolutionize the field of surveillance and reconnaissance by providing a new level of stealth and adaptability.
THE APPLICATION OF VIRTUAL REALITY TECHNOLOGY IN THE CONDITIONS OF DISTANCE AND BLENDED LEARNING OF A MODERN SCHOOL

The article focuses on the introduction of virtual reality technology to visualize processes and phenomena that are difficult to demonstrate during a lesson or that can pose a risk to the lives and health of students, and to provide motivation to learn and engage students with disabilities. Virtual reality is actively used in advertising, computer games and high-tech manufacturing, but its potential for education has not been sufficiently explored and its use is not systematic and balanced. Recent studies have shown that the issue of virtual reality is mainly studied by philosophers and psychologists, however, this problem is gaining popularity and significance, as the number of mobile virtual reality applications is increasing, and virtual reality equipment is becoming more accessible. For effective application of virtual reality technology, it is necessary to understand the essence of this phenomenon, distinguish its types, be able to choose equipment and software. Virtual reality is an imitation of a world that does not really exist and which is built with the help of special technical devices. Of all the classifications, the most successful is the one that defines the following types of virtual reality: full immersion, no immersion&nbsp;effect,&nbsp;common&nbsp;infrastructure. Immersion virtual reality should be used in the educational process, which can provide a budget option for equipment – virtual reality glasses and students' mobile devices. Students can make virtual reality glasses on their own, and install free training software on their smartphone. It will allow to study chemical and physical processes and phenomena, the structure of atoms and molecules, to travel to other planets and to move to the most interesting corners of the planet Earth, and also – to study anatomy, astronomy in a new way, to make excursions to the most famous museums and sights of different countries, to study their culture, language, get acquainted with works of art.
LOGICAL THINKING OF FUTURE TEACHERS AS A SCIENTIFIC CATEGORY

The article presents different points of view of modern domestic scientists regarding solving the problem of the essence of the logical thinking of future teachers as a scientific category. Logic is considered in the article as a component of the system of sciences related to the intellectual basis of society, and it is proved that logic performs the following functions: outlook; cognitive; methodological; heuristic; educational. It has been proven that logical thinking is an important component of the professional training of the future teacher, and in the process of mastering logical knowledge and using it effectively in practical activities, the formation of self-awareness of the individual, his intellectual growth, and the personal and professional development of the future teacher take place, which further leads to an understanding of the relationships between the phenomena of social and professional life and the possibility of conducting a reasoned polemic with opponents. The article discusses logical ways of creating scientific concepts, for which logical actions are used, such as analysis, comparison, synthesis, abstraction, and generalization. The laws of logical thinking are presented, such as: the law of identity, which is defined as follows: the content and volume of thought about a certain subject must be clearly defined and be unchanged in the process of expression; the law of contradiction, according to which a person's thinking should be only defined, precise, and consistent, because two opposite opinions about the same subject in the same way, in the same relation, cannot be true at the same time; and the law of the excluded third, which is a law that excludes a third person between two contradictions and is defined as follows: of two contradictory judgements, one is true, the other is false; the law of sufficient grounds expresses the requirement of evidentiality and argumentation of thinking and is defined as follows: an opinion is true when it is confirmed by other opinions, the truth of which is beyond doubt.
FACTORS INFLUENCING THE STUDENTS’ SPEAKING ABILITY

This research was carried out through Quantitative research particularly survey method. The survey aims at examining the factors that influence the students’ speaking ability, to know the most significant factor that affects the students’ speaking ability, and to describe how the factors influence the students’ speaking ability in English Intensive Language Program UIN SYAHADA Padangsidimpuan. The findings were presented in mix method analysis, both qualitatively and quantitatively. The instrument used to collect the data was questionnaire. The questionnaires were analyzed particularly by using multiple linear regression and further analysis, ANOVA, was used to determine the significant factor while questions 3 used descriptive technique. The results show that the 1. factors that influence the students’ speaking ability are students’ factors, campus environmental factor and parental involvement, 2. the most significant influencing factor on students’ speaking ability is campus environmental which is 52%. It is evident from the ANOVA results that the model reached statistical significance [F (3, 112) =18.912, Adjusted R2=.516, sig. &lt;.05], and 3. Campus environmental greatly influences the students’ speaking ability which include the materials, the interactions, and the learning methods.
ENHANCING ELEVENTH GRADE STUDENTS' SPEAKING SKILLS THROUGH ROLEPLAY IMPLEMENTATION

This research was conducted at SMA Negeri 2 Tangerang Regency to investigate the impact of roleplay on enhancing the speaking skills of 11th-grade students. The study encompassed a population of 72 students from classes 11 MIPA 1 and 11 MIPA 2. Employing a quantitative approach and a quasi-experimental method, data was collected through classroom observations and assessments. The results of this study were analysed using SPSS 22, employing the Wilcoxon model. The analysis demonstrated that the two-tailed Wilcoxon test produced a statistically significant result, with the "assym.sig" value exceeding the Wilcoxon test criteria. As a result, the null hypothesis (Ho) was rejected, and the alternative hypothesis (Ha) was accepted. This indicates that the implementation of roleplay as a teaching method had a significant positive influence on students' communication and speaking skills. This research contributes valuable insights into the effectiveness of roleplay in enhancing speaking skills, offering practical implications for educators seeking to improve language proficiency among 11th-grade students.
Using Forced Alignment for Phonetics Research

Forced alignment has been at the core of speech recognition technology since the 1970s, and it was first used in phonetics research in the 1990s. Progress in digital multimedia, networking, and mass storage has created enormous and growing volumes of transcribed speech, which forced alignment can turn into vast phonetic databases. However, speech science has so far taken relatively little advantage of this opportunity, because it requires tools and methods that are now difficult for most speech researchers to access. Moreover, these tools have not been completely developed and tested for many applications. These technologies are leading the study of human speech into a revolutionary new era—a movement from the study of small, private, and mostly artificial datasets to the analysis of published collections of natural speech that are thousands or even millions of times larger. In this chapter, we will illustrate some of the ways that forced alignment can be used as a tool in speech science and discuss directions for improvement.
DeepLEX

This chapter will introduce a dynamically integrated lexical resource called DeepLEX. With its modularized architecture, DeepLEX aims to be a fine-grained yet scaled multilingual lexical resource that empowers linguists to pursue a wide array of previously unanswerable research questions. Our approach expands on previous efforts and calls for an open collaboration in which lexical knowledge is semantically founded, symbolically operationalized, and empirically gleaned.
What motivates individuals to share information with governments when adopting health technologies during the COVID-19 pandemic?

Abstract Background While digital governance has been adopted by governments around the world to assist in the management of the COVID-19 pandemic, the effectiveness of its implementation relies on the collection and use of personal information. This study examines the willingness of individuals to engage in information-sharing with governments when adopting health technologies during the COVID-19 pandemic. Methods Data were obtained from a cross-sectional survey of 4,800 individuals drawn from 16 cities in China in 2021. Tobit regression models were used to assess the impacts of an array of determinants on an individual’s willingness to share information with governments when adopting health technologies. Results Individuals who perceived a higher level of helpfulness, risk, expectations from others, weariness toward privacy issues, and were sensitive to positive outcomes were more willing to share information with governments when adopting health technologies during the COVID-19 pandemic. Across all the subgroups, self-efficacy only reduced the willingness to share information with governments for individuals who spent more than seven hours per day online. The negative impacts of being sensitive to negative outcomes on the willingness to share information were only found among females and the less educated group. Conclusions This study revealed the seemingly paradoxical behavior of individuals who perceived high risks of sharing information and a sense of fatigue toward privacy issues yet continued to be willing to share their information with their governments when adopting health technologies during the COVID-19 pandemic. This work highlighted significant differential motivations for sharing information with governments when using health technologies during a pandemic. Tailored policies that resonate with population sub-groups were suggested to be proposed to facilitate crisis management in future situations.
Smart retail SKUs checkout using improved residual network

Abstract Intelligent signal processing in unmanned stores enhances operational efficiency, notably through automated SKUs (Stock Keeping Units) recognition, which expedites customer checkout. Distinguishing itself from generic detection algorithms, the retail product detection algorithm addresses challenges like densely arranged items, varying scales, large quantities, and product similarities. To mitigate these challenges, firstly we propose a novel boundary regression neural network architecture, which enhances the detection of bounding box in dense arrangement, minimizing computational costs and parameter sizes. Secondly, we propose a novel loss function for hierarchical detection, addressing imbalances in positive and negative samples. Thirdly, we enhance the conventional non-maximum suppression (NMS) with weighted non-maximum suppression (WNMS), tying NMS ranking scores to candidate box accuracy. Experimental results on SKU-110K and RPC datasets, two public available databases, show that the proposed SKUs recognition algorithm provides improved reliablity and efficiency over existing methods.
Geographic information system earthquake and tsunami early warning in Padang City

Padang city is one of the areas prone to earthquakes and tsunamis. With this fact, the city government of Padang created a number of gathering points or shelters equipped with evacuation routes for residents of Padang city. Likewise in West Padang District which is the area closest to the beach and has a high population. From the results of the data collected, then the authors use the Research and Development method. From the results of this study, an Android-based Geographical Information System (GIS) was designed, information can be conveyed in a visual form in which there is information related to tsunami evacuation routes and education in dealing with the Potential Mentawai Megathrust disaster. In addition, the application developed has been able to produce information on the location of the disaster, route information to the evacuation point, and safety guidance when a disaster occurs. So that people can easily find out the evacuation route to a safe place and reduce the risk impact of future natural disasters.
E-RA (Earthquake Rapid Assessment), application-based rapid assessment tools

Earthquake rapid assessment after an earthquake is critical to gather the data for public damaged houses. In the past, many methods were used for assessing damaged houses, while most used manual methods by writing or filling out a print-out form. This type of method took up a lot of time to collect the data from every assessor and assessed as having many shortcomings. It caused the National Agency for Disaster Countermeasure (BNPB) to develop an application-based data collecting tool called “InaRISK” as an improvement to the existing rapid assessment method. Even though this application has made some breakthroughs; there are still some drawbacks, especially in using the application without an internet connection that affected to the data validation. So, the Andalas University Team decided to develop an improvement to InaRISK called “E-RA (Earthquake Rapid Assessment)” that can used without an internet connection and is more accessible. This paper discusses the development of a rapid assessment application called E-RA for collecting damaged houses data after an earthquake.
Towards a Sustainable Campus: Design and Evaluation of a Photovoltaic System for a Secondary School

The present work was developed to inform, experiment, raise awareness and disseminate information about renewable energy sources, specifically solar energy through the design of a photovoltaic system for a secondary-level educational institution in a district with development potential, which in a short time has been developed in all areas, but the lack of environmental awareness of its inhabitants forced us to take such an initiative since an academic identity must have an optimal environment for the well-being of its students and teachers, the incorporation of a photovoltaic system will not only contribute to this purpose but will also promote environmental awareness and responsibility by promoting the use of renewable and sustainable energy. The work demonstrates that it is possible to use solar energy as a source of pure, clean, and healthy energy for the use of different activities in a secondary education institution, such as entertainment, study, sports, technology, and science. The present work uses as its main support the Psis 7.2 photovoltaic installations simulation programme; this programme uses rheological and topographic data for better accuracy in data analysis. The results of this project could serve as a basis for other projects in this field since we believe that our contributions will be used for the greater good.
Container Security in Cloud Environments: A Comprehensive Analysis and Future Directions for DevSecOps

In recent years, the security of containers has become a crucial aspect of modern software applications’ security and integrity. Containers are extensively used due to their lightweight and portable nature, allowing swift and agile deployment across different environments. However, the increasing popularity of containers has led to unique security risks, including vulnerabilities in container images, misconfigured containers, and insecure runtime environments. Containers are often built using public repository images and base image vulnerability is inherited by containers. Container images may contain outdated components or services, including system libraries and dependencies and known vulnerabilities from these components can be exploited. Images downloaded from untrusted sources may include malicious code that compromises other containers running in the same network or the host system. Base images may include unnecessary software or services that increase the attack surface and potential vulnerabilities. Several security measures have been implemented to address these risks, such as container image scanning, container orchestration security, and runtime security monitoring. Implementing a solid security policy and updating containers with the latest patches can significantly improve container security. Given the increasing adoption of containers, organizations must prioritize container security to protect their applications and data. This work presents automated, robust security techniques for continuous integration and continuous development pipelines, and the added overhead is empirically analyzed. Then, we nail down specific research and technological problems the DevSecOps community encounters and appropriate initial fixes. Our results will make it possible to make judgments that are enforced when using DevSecOps techniques in enterprise security and cloud-native applications.
Glitch Sounds Based on Image Manipulation

Glitch art is the art that makes use of image, video, and sound errors (glitches) intentionally generated by destroying digital data or physically manipulating electronic devices. Such glitch art is interesting in that it expresses unpredictable and accidental beauty. As part of our research into glitch sound creation methods and effects, we tried to create
Beyond CAVEs and Domes: Creating Accessible Multi-User Virtual Installations for Immersive Learning

New opportunities for immersive learning on campuses with high fidelity installations like CAVEs and domes have been made possible by the development of various technologies like virtual reality, motion capture, projection mapping, and more. These high fidelity installations have been created by commercial companies, primarily for marketing, exhibitions, and events. However, there is still a
Analisis Tingkat Pemahaman Materi dan Kemampuan Belajar Mahasiswa Kelas Pekerja

The purpose of this study was to find out and analyze the level of understanding of the material in class and the learning abilities of students working in the economics education study program class of 2020 B at Ikip Budi Utomo Malang. Comprehension is this ability which is generally emphasized in the teaching and learning process. Students are required to understand or understand what is being taught, know what is being communicated and be able to take advantage of the content without having to relate it to other things. The sample for this research consisted of 20 students whose status was working and the data collection technique used a questionnaire. The analysis technique in this research uses the Quantitative Descriptive method. The results showed that 20% of the working students' understanding of the material in Economics Education B had a good level of understanding of the material, 60% had a moderate level of understanding, and 20% of working students had a low level of understanding of the material. For the learning abilities of working students, 50% is in a very good category, 45% of working students are in a good category, and 5% of working students are still classified as not very good.
Connotation Evolution and Communication Characteristics of Network Language Using the 5W Communication Model: An Analysis of “X Socialites”

"Online socialite" has become a popular internet buzzword in China in recent years. Originally referring to female internet celebrities who purchased luxury goods through group buying and then pretended to be "socialites" in high-end places to attract attention, a series of "X socialites" emerged on the internet, such as "Buddha socialites" (beautiful and sexy ladies
Public Transportation Line Passenger Prediction Using Mamdani Method of Fuzzy Logic to Foresee Holiday Passenger Surge

This study aims to predict the number of passengers on the Mall Pannakkukang-Galesong Harbor route on the "Teman Bus" fast transit transportation system in Makassar City. Public transportation modes often face the problem of an imbalance between the number of buses and the number of passengers, which can reduce the comfort and efficiency of passenger mobility. To overcome this problem, this study uses a fuzzy logic approach, specifically the Mamdani fuzzy method, to predict the number of passengers who will take the bus based on input variable data that has been collected, such as day temperature and weather, as well as the output variable, namely the number of passengers. The results obtained in this study are based on the inputs given, namely the day with a value of 0.5 and the weather temperature with a value of 30. The number of passengers is 1500, which means the number of passengers is included in the quiet category.
FLOOD DISASTER PREPAREDNESS STUDY IN BANJAR CITY, WEST JAVA

Flooding is a very common natural disaster in Indonesia. It is necessary to have a disaster risk management programme. This study aims to determine the disaster preparedness of the community for flood in the city of Banjar, West Java. Data were collected from the city government, regional disaster management agency, non-governmental organisations, BPS, earth shape maps from InaGeoportal, vulnerability map data, vulnerability maps and risk maps from the National Disaster Management Agency, and literature in the form of journals and books. The data collection techniques used by the researchers included questionnaires and documentation. The method of data analysis used was descriptive percentage and scoring analysis to analyse the frequency distribution of the level of preparedness of the community in the face of flood disasters.The data was obtained by providing questionnaires to the community which were filled in by the respondents and then calculating the total frequency of correct answers from each respondent. It can be seen that Banjar city has a high level of flood hazard, vulnerability and capacity, which means that it is important to take preparedness measures to reduce the adverse effects and anticipate the increase of recurrent floods.