Reviewerly/exHarmony huggingface dataset:
An Integrated Mobile and Web Based Approach for Promoting Antenatal and Postnatal Care Patronages and Reduction of Maternal and Neonatal Mortality Rates A Case Study of Yobe State

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
The Evaluation of Community Participation and Sudin Fire Management and City Saving Administration Jakarta Utara in Fire Prevention in Kecamatan Tanjung Priuk Jakarta Utara

This research is to determine the level of community participation in fire prevention management in Tanjung Priuk District, North Jakarta Administrative City. The theory used in this research is Arnsteint Theorie's which is quoted by M.Nuh which was the former minister of National Education, Susilo Bambang Yudhoyono era, it is an ideal theroy to determine the level of community participation. The research method is qualitative to obtain main data from interviewees. The description of the research is to get main data from valid interviewees who get envolve in prevention and fire management, also has been support by data of the field studies. Then analyze by triangulation process, to determine the level of community participation. The research indicates that the level of community participations in fire prevention in Tanjung Priuk District is informing, consulting and promising the programs to educate the community on fire and fire exhinguish drill, as well it will be an annual year. In the management process, the community is in the sevent step of the second level because the community has been the partners of the fire fighter in the scene. The community can extinguish the fire in the initial stage of fire growth.
Fuzzy Logic Based Approach for Analysis and Synthesis of Failure Modes

Failure analysis and management has been gaining a lot of importance for the last few years. Failure mode and effect analysis is the process used for failure analysis and risk management in judging various businesses and managements. The FMEA is the methodology extensively used in different sectors to detect, prioritize and investigate the potential failures which occur during the production or design of the product. This whole process is computed with the Risk Priority Number (RPN). The blurriness and uncertainty in the FMEA associated with the human expertise and experience is responded using Fuzzy Logic based approach. In today’s time, organizations mainly focus on improving the quality of their product and building the reputation of their organizations. So, they consider every aspect of failure which can occur during the production. So, they use the FMEA team to overcome these issues before their existence. This paper is based on the approach of FMEA methodology and Fuzzy logic which describes multiple risks, insecurities associated with the different production processes and gives the solution to overcome the possible failures. FMEA is a methodology which suggests that such type of failures could occur during the design of the product or the production of the product.
A Case Study of Students’ Anxiety in Speaking English And How They Cope The Feeling

This study analyzes the factors of the students’ anxiety in speaking English and also explores the strategies used by the students to cope with their anxiety. The three participants of this study were selected from 36 students of X TKJ 1 in SMKN 2 Jember that experienced speaking anxiety as illustrated by Oxford. This study applied qualitative and quantitative case study design. Classroom observation was done four times to select the participants. The results of questionnaire and interview were analysed by using Miles and Hubberman’s model. The findings showed that the students in the English speaking class experienced excessive fear and anxiety. There were 2 participants who exhibited test anxiety and the other one exhibited communication apprehension. Their strategies to overcame the anxiety were; avoiding eye contact, relaxation, and asking for teachers’ help.
Data Centric Security Approach For Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A METHOD FOR PREDICTION EXECUTION TIME OF GPU PROGRAMS

The use of coprocessors such as GPU and FPGA is a leading trend in HPC. Therefore a lot of applications from a wide variety of domains were modified for GPUs and successfully used. In this paper, we propose an approach for prediction execution time of CUDA kernels, based on a static analysis of a program source code. The approach is based on building a CUDA core model and a graphics accelerator model. The developed method for estimating the execution time of CUDA kernels is applied to the implementation of matrix multiplication, the Fourier transform and the backpropagation method for training neural networks. As a result of verification, the approach showed good prediction accuracy, especially on low GPU loads.
Human Activity Recognition Using Smartphones Sensors for Ambient Assisted Living

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Cloud Computing Models, Issues and Challenges

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
eGovernment Integration Framework for Fragmented Systems

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Real-Time Human Detection in Video Surveillance

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Real-Time Identification of Nonstandard Thermal Inkjet Codes on the Surface of Hot-Rolled Steel Sheets in Complex Environments

Many steel mills currently rely on thermal spray codes to carry and convey information about the steel plate at different stages of production. Thermal inkjet codes are patterns of numbers, letters, and symbols formed by continuous spraying of high-temperature resistant coatings on the surface of billets, so it is especially important to identify thermal inkjet code information accurately and timely during the processing stage of steel plates. Most of the existing mainstream identification methods rely on manual visual observation and traditional image recognition to obtain them, with low recognition efficiency and poor recognition effect. In this paper, a lightweight YOLO with ResNet18 as the backbone network is used as the detection and recognition framework, and deformable convolution and text feature extraction techniques are purposefully added to detect the location of thermal inkjet codes images to achieve accurate and fast positioning and segmentation of thermal spray codes. Meanwhile, an attention mechanism-based character recognition module is added to quickly infer the content within the ROI location of thermal inkjet codes. The experimental results show that the thermal inkjet code character recognition method proposed in this paper has a high recognition rate and fast recognition speed, which meets the practical application requirements of relevant enterprises.
Augmented Reality and Virtual Reality in Cultural Tourism: ‘Ara as it Was’

With the permanent development of technology, constant modernization and adaptation to new paradigms is imperative so that tourist experiences can maintain their competitiveness. Cultural tourism, one of the most competitive sectors of the tourist industry, has been adapting to global changes through the use of interactive technologies as a differentiating mechanism. Augmented Reality and Virtual Reality are two tools that enhance modernization and competitiveness, which are able to respond to the increasingly demanding needs of consumers. These technological innovations applied to a cultural experience manage to create a more immersive and interactive experience that attracts and satisfies the needs of tourists. This article aims to show the impact of Augmented Reality and Virtual Reality on the cultural offer through the analysis of the 'Ara as it Was' experience, which is considered a good example of the application of technology in the recreation of past real events while enhancing interactive learning.
Pengaruh Metode Membaca Survey Question Read Recite Recall (SQ3R) Terhadap Hasil Belajar Mata Pelajaran Bahasa Indonesia Materi Teks Pengumuman

Most students consider Indonesian language lessons to be boring lessons so that it has an impact on students' low interest in learning which leads to student learning outcomes that are still below the school's Minimum Completeness Criteria. One alternative so that learning Indonesian is not boring is to use the method of reading the Survey Question Read Recite Recall (SQ3R). SQ3R reading method is a reading method to find main ideas and supporting main ideas. This study aims to determine the response and influence of the SQ3R reading method in learning Indonesian language announcement text material on student learning outcomes. This type of research is a quasi-experimental research. The sampling technique uses saturated sampling. The population and sample are fourth grade students of SD Negeri 1 Bendungan with a total of 34 students. The sample was divided into 2 groups, namely the experimental class and the control class. The sampling technique used a questionnaire and a test which was analyzed descriptively and using the t test. Analysis of the questionnaire data from 14 students showed that 84.1% of students had a positive response to the SQ3R method. The results of the t-test show that tcount ≥ ttable (t2,848 ≥ t2,074 ) so that H1 is accepted. Control N-gain Experimental N-gain (0.57 0.69) means that there is a difference in student learning outcomes with the SQ3R reading method and lectures. So, students responded positively to the SQ3R reading method and this method had an effect on student learning outcomes.
Features of the organization and classification of virtual reality interfaces

The subject of the study is the features of the organization of virtual reality interfaces. The author examines in detail such aspects of the topic as user involvement in the virtual environment, various ways and scenarios of user interaction with virtual reality, user security in the virtual environment, as well as such a phenomenon as cyberbullying and ways to prevent it. The study also considers the use of voice control as an alternative to manual. Particular attention in this study is paid to the classification of virtual reality interfaces, among which sensory interfaces, interfaces based on user motor skills, sensorimotor interfaces, interfaces for modeling and developing virtual reality are distinguished and considered in detail. The main conclusion of the study is that the virtual reality interface should be designed taking into account the ergonomics of users to prevent muscle fatigue and cyber-pain. In addition, it is very important to ensure the user's safety when designing virtual environment interfaces: using the virtual reality interface should not lead to injury to the user. To create an ergonomic and secure virtual reality interface, a combination of different types of interfaces is often required, through which the user can access an alternative control method or improved navigation. A special contribution of the author to the study of the topic is the description of the classification of virtual reality interfaces.
Оволодіння навичками професійного оцінювання і самооцінювання як важливий вектор формування компетентності сучасного випускника вищого музичного навчального закладу

The aim of the work is to propose a system of musical hearing development in the school, which will overcome the shortcomings in the formation of assessment skills of future professional music teachers, methods focused on improving musical hearing, providing him with analytical skills in the field of expressive interpretation of musical works in live sound. The research methodology is based on the generalized long-term professional experience of the author of the article in combination with the inductive method and the analytical approach to the educational process in educational art institutions. The scientific novelty of the work is developed by the author of the work, in accordance with the theoretical provisions set out in the article above, and the proposed table of normative assessment, work with which, in our opinion, can help develop professional assessment skills in students of higher music institutions. Conclusions. Assessment and self-assessment require an established professional language, in its written or oral form, competence finds its vivid expression. Discretionary descriptive statements and prescriptive normative expressions should always be saturated with competent terminology and supported by reliable facts from the experience of musical performance. Competent assessment is an important professional skill that should be consistently taught, and for this persistent development of musical hearing, in all its varieties, especially the most intellectual component, which is analytical hearing. A comprehensive didactic model of formation of pedagogical assessment skills in music pedagogy is absolutely necessary, taking into account all its features and peculiarities, but on a solid foundation of general pedagogy and psychology of learning. It should be focused on the formation of this skill and composed in stages, starting with the vector of education with the skill of listening to yourself from the side during the game. We hope that this article will arouse a wide range of teachers and lead many to fruitful thoughts and decisions.
PROBLEMS OF DIGITALIZATION OF RUSSIAN EDUCATION

The article analyzes some aspects of the digital transformation of the education system in the Russian Federation. The reasons, essence and main directions of digitalization are revealed. It is shown that this process is due to the objective needs of the current stage of social development, first of all, the transition to a new type of economy. The tasks of digital education are analyzed: the formation of digital competence, the development of skills and competencies for optimal and effective information activities in various conditions; the formation and development of abilities for self-development and self-education in the information sphere, etc. The difficulties that arise in the process of digital transformation of education are revealed: technical and technological, methodological, qualification, etc. The positive and negative consequences of the digitalization of Russian education are revealed.
Estimate the performance of applying machine learning algorithms to predict defects in software using weka

Predicting faults in any software becomes one of the critical study fields in software engineering. Software defect prediction in the early stages of the software development life cycle helps in improving software quality and reliability. Machine learning procedures are considered to be the most crucial technique for predicting defects. This paper measures and compares the performance of using five supervised machine learning algorithms to predict defects in software using the Weka tool. The datasets were used from the PROMISE repository. The results proved that supervised machine learning performed well in software fault prediction with an accuracy of more than 81%. Moreover, compared to the algorithm used, random forest and artificial neural networks have the highest accuracy for predicting defects.
On "the History of the Future" that trans-looks into the past, present and future

In this paper, the author proposes a new concept to examine the present affair with many problems, standing with a point of view on the phrase "visit from the past to the future" advocated by the technology and social division of the Japan Society of Mechanical Engineers. By the way, time flows with the past, the present, and the future, and the history of technology examines the background and society of the technology developed in the past, and solves problems for the present and the future. It is based on the past and present and is viewed the future. By replacing "problem solving" with "challenge", and it will be approached in the future. Future history is a category of research and study for examining the future situation by trans-looking the past, present and future. The concept has been discussed in the present paper.
APPLICATION OF EXCEL SOFTWARE FOR THE TEACHING OF MATHEMATICS IN STUDENTS OF THE FIRST GRADE OF SECONDARY SCHOOL IN TRUJILLO, PERU

The present research work has the main objective of determining to what extent the Application of Information and Communication Technologies (ICT), improves the academic performance in the mathematics area of the first-grade students of the secondary level, taking as based on a computer program that is available to most students at this level, such as excel.A very important psychological factor for the concretization of this fact is the motivation, generated by the interaction of the student with the TIC, constituting itself in a motor for the improvement of the academic performance of the student.To this end, a questionnaire was developed as an evaluation instrument for a sample of 60 students from a population of 260 male students.The research technique of experimental group design and control with previous and subsequent measurement was used, by non-probabilistic sampling, the section of the 1st "I" was determined as the experimental group (31 students) and the section of the 1st "J"as the control group (29 students), the results being processed and statistically checked.The final conclusion was reached that the application of ICT, in this case the excel computer program, improves by 16.6%, the academic performance in Mathematics of the first grade students of the secondary level of the IEPE GUE José Faustino Sánchez Carrión-Trujillo.
Can AI Develop Human-Like Consciousness? Cognitive Abilities? What about Ethics?

Artificial Intelligence is largely responsible for the technological marvels we are viewing these days. With the rise of technology made possible by AI evolution, there is a potential that AI will achieve human-like consciousness. Human consciousness can be described as one’s own awareness of himself and the environment. The key focus of this paper is on can AI be evolved in a way that it can replicate human consciousness, if cloned what are the ethics, in what way they are impacted and will it act in accordance to the social norms. Brief introduction concerning Consciousness, AI and way forward into discussion is given. Various opinions and research rationales of distinct philosophers and neuroscientists about AI awareness is presented. Implication of ethical issues on society if Artificial Intelligence is further advanced are countered. A discussion of research findings with an unprejudiced view is presented. A conclusion with what the present position of AI and what will be the future of AI with cognizance is conferred in this paper.