Reviewerly/exHarmony huggingface dataset:
Strategi Pengembangan Perpustakaan di Indonesia

The National Library of Indonesia has made a revolution in library development, but not all types of libraries in Indonesia have followed suit. Until now, the results of library development both in terms of quality and quantity have not been optimal. This can be seen in the gap between the number of accredited and unaccredited libraries. The purpose of this study was determine the strategy of the National Library of Indonesia in fostering and developing public libraries, special libraries, school libraries and university libraries in Indonesia. This research method uses qualitative research with a descriptive approach. Data collection techniques using interviews, observation, and literature study. This study examines the strategy of library development in Indonesia is presented in the form of a description or narrative. The development function of the National Library of Indonesia by the work unit of the Public and Special Library Development Center (PPPUK) and the School and College Library Development Center (P3SMPT) with programs are in accordance with their duties and functions as regulators, motivators, and evaluators
Preservasi Preventif: Kegiatan Pendidikan Sebagai Upaya Pelestarian Koleksi di Perpustakaan FIB Unpad

Preventive preservation is an attempt to prevent damage to a collection done in a library. One of the activities programs found in preventive preservative is a program of educational activities. These activities are carried out to librarians as well as to library users. The study aims to understand the program of educational activities in preventive preservative attempt in the FIB Unpad library. This article USES qualitative descriptive research methods with data collection techniques through literature, interviews and observations. As a result of this study, the fib unpad library conducts a program of educational activities for librarians of formal and nonformal education. Formal education is given through klate and nonformal programs through seminars. The program of educational activities for the user was provided with the effort to stick warning signs and sanction them to unregulated users.
Monetization of Industrial IoT services using Blockchain and smart contract

Internet of Things (IoT) plays a very important and remarkable role in many fields such as smart grids, healthcare, industry, etc. IoT also makes people's lives easier and improves their interactions with each other by using devices and sensors of different sizes that are heterogeneous or homogeneous. As a key part of Industry 4.0, IoT has been widely used in various industrial fields. The integration of Blockchain and IoT technologies in Industry 4.0 plays an important role in improving the performance of systems in Industry. This integration improves classic deterministic interactions between industrial devices to become intelligent interactions. Blockchain is an advanced technology that leads to robust distributed applications. It is a tamperproof, decentralized, immutable and transparent database. In this paper, we present the principle of monetization as a principle of interaction between industrial objects. By integrating Blockchain and smart contract technology, industrial objects can exchange services according to the principle of monetization in a transparent and secure manner.
Benefits of high speed telecommunication in telemedicine for rural zone health problems

Various disciplines have been concerned by digital transformation. One can name examples, attesting that worldwide trend, like smart homes, transport, Health, Industry… Particularly, medicine practices were widely enhanced by taking advantages of information processing added by a more developed communication technology (ICT). This paper talks about Telemedicine in rural zones. 5G Mobile networks have the potential to bring advancement to this digital transformation in healthcare sector. Various services are reviewed, updated and have taken profit from this new mode. Different means and devices are used such most tasks are becoming numerically done. In this context we’ve tried to develop a platform to make healthcare easier for patients living in areas with poor infrastructure. A platform is designed for pregnant women suffering from illnesses where the causes of mortality are Time delay delivery, health referral delay service and delay in facility of care after arrival at the health. This will surely help to easily offering medical services for rural and isolated zones as deprived areas. This will be deeply shown towards our paper.
Investigating Efficient Compression Models to Accelerate Deep Neural Networks

In recent years, owing to the remarkable progress in technology and computer power, artificial intelligence models have gained a widespread attention. In fact, these artificial models are being produced and used to solve a large number of current and future business and technical problems.Nowadays, Deep Neural Networks are becoming more and more involved in different fields. Implementing such deep networks on embedded devices is remaining an important challenging task considering the massive requirement of computation and storage. Thus, Deep Learning researchers have come up with a large number of powerful optimization techniques to accelerate deep models.One of these techniques is model compression, which involves reducing neural network’s size while preserving its accuracy. This decrease in size holds significance as larger networks pose challenges when it comes to deployment on devices having restricted capabilities.In this work, we will explore the strengths and weaknesses of some well-known compression methods and present our new approach to accelerate deep networks using a compression model based on the Wavelet Beta without compromising accuracy.In fact, when compared to widely recognized compression models, our new approach enhances the efficient outcomes and performances demonstrated in this paper within the realm of image compression.
A Brief Overview of Blockchain Technology and Access Control in IoT

Internet's lightning-fast growth and the smartphone industry has led to the emergence of the Internet of Things (IoT), which aims to connect all objects/devices to the Internet so that automated objects can interact with their environment and communicate data eliminating the need for human interaction. IoT has the potential to transform industries and enable new forms of innovation and efficiency, but it also poses challenges in terms of privacy, security, and data management. As the number of connected devices continues to grow, it will be essential to develop standards and best practices to assure IoT system reliability and safety. To accomplish these obstacles of efficient data sharing and authorized access control, otherwise decentralized automation, security, and stakeholder trust management in the IoT, a new technology called Blockchain has emerged. In this context, this paper introduces Blockchain technology, which is characterized by decentralization, transparency, and immutability. It can be used to solve some of the challenges facing IoT systems, such as data security and confidentiality. In addition, this paper presents a study on the contribution of blockchain technology (BC) and access control (AC) methods in IoT systems.
Particle swarm optimization-based solutions for identification problems of autonomous hybrid switching systems

In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized.
Real-time Control of a Rotary Inverted Pendulum using Fuzzy Logic

The major objective of this work is to investigate the fuzzy logic use in the control of a rotary inverted pendulum in order to create a controller that can keep the pendulum in an upright position. Initially, we looked at the model of our underactuated system. . Subsequently, we applied our methodology to the "Quanser qube servo 2" pendulum system, a frequently used rotary inverted pendulum system in research settings. After that, we ran simulations and experiments to evaluate the performance of our controller. The results show that using fuzzy logic to regulation offers improved stability and accuracy, even when dealing with significant disturbances.
CULTUROLOGICAL POTENTIAL OF MODERN PEDAGOGICAL REALITY: PROCEDURAL AND HERMENEUTIC ASPECT

Objective of the study is to determine the possibilities of hermeneutics in diverse procedures of rethinking the sphere of culture in the aspect of its consideration in the plane of the realities of the life world of the individual. The methodological basis of the research: the basic provisions of the pedagogy of hermeneutic experience; ideas of human understanding of the text as an artifact of culture; the idea of awareness as an educational process; ideas of dialectical contradiction in the system of correlative concepts of "culture" and "counterculture"; ideas of the dynamics of transcendence as a way of individualization of a person; ideas of dramogermeneutics; ideas of rethinking culture, in the context of the realities of life the human world. Research results are to consider the process of self–change of the image of a person through immersion in the world of culture through experiences, comprehension, gaining new experience - an artifact of culture; substantiation of the transfer of education to the plane of inner being of a person; substantiation of the principle of transcendence of consciousness and learning; comprehension of the phenomenon of immanent dynamics of transcendental thinking in the aspect of creating special forms of spiritual systems; consideration of interpretation as a method of teaching; consideration of the process of personal growth and development in the context of the sphere of culture and hermeneutic programs of cognition and understanding; determination of the basic guidelines of hermeneutic practice in the aspect of the phenomenon of culture, presented in modern pedagogy and practice of education, determining the possibility of transferring culture to the plane of the life world of the individual. &nbsp; Prospects of the study are connected with the deepening of the theoretical and methodological foundations of the concept of "meta-principle", the concepts of "meta-level", "metalanguage" in the context of individual ascent to the acquired personality. &nbsp
IMPACT OF COMPUTER GAMES ON PERSON: METHODOLOGICAL APPROACHES

Objective of the study is a philosophical and methodological analysis of the phenomenon of the impact of computer games as a component of art on a person. The methodological basis of the research. The authors use a number of the following methods of study: the method of system analysis, the method of fractal calculus, methods of game aesthetics, the method of analogy between Indian wisdom and modern cosmology, methods of building computer games.&nbsp; In the course of the study, the authors also proceed from the definition of the ontology of game &nbsp;of &nbsp;V.&nbsp;S. Polikarpov, expressed by the formula “imaginary reality as a world of possibilities multiplied by spontaneous randomness”, from the understanding of the human act of pure thought as the “movement of an imaginary number” in imaginary space and the game interpretation of the Universe, the concept of the relationship between the biosphere and the cosmos, the paradigm of the wave electromagnetic Universe, which allows you to use various sciences for in-depth consideration of the phenomenon of the impact of computer games per person. Research results. The research is based on the concepts of the Universe as a cosmic game in the form of dance and music, a new understanding of art, the concept of the ocean of cosmoplasm in which a person is immersed, the concept of the fractal nature of beauty, the principles of designing computer games, which allows us to explain the significance of the phenomenon of the impact of computer games on the inner world of a person. Prospects of the study. For further research in the field of the impact of computer games on human life, the program “Research of science and Technology” (STS, Science and Technology), which includes the concepts of “Internet of People”, “Internet of Things”, “Internet of Animals” and “Internet of Plants”, is promising. All these projects are based on the actor-network theory, which allows to unite different worlds. If you combine all four of the Internet, then a person will receive tremendous knowledge about our real world, which will allow him to learn more effectively about the surrounding reality.
COMMUNICATION AS A PROFESSIONAL QUALITY OF THE FUTURE ECOLOGIST

The article reveals communicativeness as a professional quality of the future ecologist. It has been established that in teaching ecology, emphasis is placed on strengthening the communicative orientation of the educational process. The concept of “communicativeness”, “professional communication” is revealed. It has been proven that communication is an important component of a large group of professionally significant qualities of a young specialist, as a quality necessary for performing professional activities. The peculiarity of the applicantʼs communicativeness is established, which is his theoretical training in the field of interpersonal cognition, interpersonal relations; laws of logic and argumentation; professional, in particular language etiquette; communication technologies. The criteria of productive professional communication are disclosed: creation of a favorable psychological climate, formation of certain interpersonal relationships in the team. The organization of productive communication of future ecologists is highlighted, which implies the presence of a high level of development of communicative skills, which can be formed only in the presence of certain communicative abilities. Two groups of communication skills are distinguished: general communication skills and special professional communication skills. Blocks of laboratory and practical classes are proposed for the formation of communication skills of future ecologists. The main requirements for the formation of professional communication skills in future ecologists are revealed: the ability to form a system of theoretical knowledge on the problems of professional communication; availability of skills and abilities in theoretical development and conducting socio-psychological training; the ability to organize during production practice the inclusion of applicants in professional activity (in particular, in its communicative aspect) and to ensure its psychological analysis; willingness to organize and guide the independent work of applicants regarding the formation of professional communication skills and the ability to diagnose the level of their formation. The content indicators of the communicative core of the personality are highlighted.&#x0D; Keywords: communication; interaction; professional quality; future ecologist; favorable psychological climate; interpersonal relationships in the team; communicative training.
PEDAGOGICAL POTENTIAL OF THE EDUCATIONAL PROCESS IN STIMULATING A POSITIVE AND ACTIVE ATTITUDE TO THE ENRICHMENT OF BIOLOGY COMPETENCE OF FUTURE BACHELORS OF NATURAL SCIENCES

The article is aimed at considering the possibilities of stimulating a positive and active attitude of future bachelors of natural sciences to the formation of competence in biology in the educational process. In the light of the modern educational environment, it is important to focus on pedagogical tools that promote studentsʼ active participation in the study of biological sciences. The effectiveness of this process can be significantly increased by using a system of diversifying methods, techniques and approaches to learning.The active use of such a system provides great pedagogical resources to stimulate the process of forming competence in biology in future bachelors of natural sciences. The study shows that these approaches help to engage future specialists in more effective learning of not only practice-oriented knowledge, but also give the process of professional training an effective focus and subjectively significant positivity.An important component is the integration of modern technologies into the educational process, which helps to maintain students’ interest and provides them with access to relevant information. Pedagogical methods aimed at using interactive platforms, virtual laboratories and multimedia expand studentsʼ opportunities in learning biology.The study of natural sciences, in particular biology, can become attractive to students if pedagogical methods that stimulate active participation and personal development are effectively applied. These approaches not only contribute to the enrichment of knowledge, but also form a positive attitude to the learning process, which is an important factor in the education of future professionals.&#x0D; Keywords: competence; positive-active attitude; student-centred educational process; contextual learning; interdisciplinary integration; stimulation; competence in biology; future bachelor of natural sciences.
FORMATION OF PRACTICAL SKILLS OF FUTURE TECHNOLOGY TEACHERS IN HIGHER EDUCATION INSTITUTIONS

Today’s modern society needs competent specialists who know how to think creatively, find original solutions and are ready for innovative activities. The question of the development of professional competences among students, their mastery of practical methods and technologies in a specific field is extremely relevant. The author emphasizes that the strengthening of professional competences, in particular, determines the ability of the future technology teacher to act successfully in new, unforeseen conditions.The article examines the method of forming the practical skills of future technology teachers in the process of a technological workshop, characterizes the technologies, methods of metalworking operations that ensure the formation of the professional competence of future technology teachers, such as the ability to make products with the help of various hand tools, hand electrified tools, as well as a wide range of additional technological equipment.The author of the article came to the conclusion that that the formation of practical skills of future technology teachers in institutions of higher education in the process of mastering the specified discipline “Technology practicum” involves the following stages of its mastering by future technology teachers: alignment, marking, bending, cutting, sawing, sawing.&#x0D; Keywords: future teachers of technology; stages of learning locksmith processing; design and technological activity; locksmith operations.
Enabling Efficient Bayesian Convolutional Neural Network with Feature Pre-extraction and Pre-pooling Strategies

Introducing Bayesian method into convolutional neural networks (CNNs) can effectively prevent neural networks from making over-confident decisions and overfitting. However, the large number of parameters in Bayesian convolutional neural networks (BCNNs) results in high computational costs, limiting the deployment in resource-sensitive computing systems. In this paper, two efficient strategies for BCNNs are proposed to optimize the inference process: 1) Feature Pre-extraction (F-P) strategy, which pre-extracts the feature maps in convolutional layers to reduce redundant computation introduced by repeated calculation, and 2) Pre-pooling (P-P) strategy, which performs pooling in advance to reduce the scale of feature maps involved in subsequent calculations. Compared with current efficient BCNN inference model, F-P strategy can eliminate around 92 % multiplications and accumulations, and P-P strategy can save 75% Gaussian random numbers requirement. To sum up, the proposed two optimization strategies can enable BCNN to save around 93% computational resources with 30.6% memory overhead together. The accuracy of LeNet-5 on CIFAR10 dataset has slightly decreased by 0.1%.
An Image Denoising Method Based on Visual Perception

To address the problem of image quality degradation caused by noise during image acquisition and transmission, this article proposes an improved image denoising model based on Generative Adversarial Networks (GAN). The generator network of this model uses a combination of convolutional blocks, residual blocks, and deconvolutional blocks to efficiently extract low-level and high-level feature information to avoid loss of image details and effectively alleviate the problem of gradient disappearance in the network. To improve discrimination accuracy, the discriminator network is adjusted on the basis of the VGG network to achieve pixel-level classification. The loss function consists of a composite loss function composed of Mean Square Error (MSE) loss, visual perception loss, and adversarial loss, considering both the image denoising ability and the preservation of image detail information. Experimental results show that the proposed method outperforms mainstream image denoising techniques in terms of PSNR, SSIM, and visualization effects, indicating that the model can effectively remove image noise while making the image more in line with human visual perception.
RRDP : An Ruin-Rebuild Based Approach for Dynamic Route Mapping in Multi-Robots Scenarios

Single-robot Simultaneous Localization and Mapping (SLAM) suffers from low accuracy and limited search range, which motivates the research on multi-robot SLAM technologies. However, most existing multi-robot SLAM algorithms do not exploit the prior environmental information sufficiently, resulting in deadlocks or failures during the autonomous exploration and mapping process. Moreover, they often face challenges such as overlapping area matching failure during map fusion, which degrades the map quality and completeness. To tackle these problems in multi-robot map construction, this paper proposes an improved approach based on the Ruin-Rebuild Dynamic Planning (RRDP) algorithm for dynamic routing in multi-robot scenarios. It incorporates a feedback mechanism to achieve stable control and autonomous map construction by following pre-defined auxiliary paths. Experiments show that the RRDP approach outperforms previous methods in terms of map integrity, accuracy, and mapping time.
Inductive and Deductive Approaches to Teaching Grammar for Young Learners at Elementary School in East Lombok: A Teacher’s Perspective and Practice

Teaching grammar to young learners is considered quite challenging for English teachers. Different characteristics between young learners and adult learners make teachers and academics less certain about how grammar should be presented, whether deductively or inductively. The purpose of this study was to gather information about the strategy of teaching grammar in three different elementary schools and how the teacher implements the strategy in the classroom. To this extent, interviews and classroom observation were used to obtain all the data required for the study. The result confirmed that 2 out of 3 English teachers teach grammar implicitly through fun activities because they believe that young learners learn the grammar better when they notice the rules themselves through fun activities. Meanwhile, the other one teaches grammar explicitly by giving simple grammar exercises. This study encouraged teachers to consider an inductive implicit grammar approach to maximize language acquisition, and it is also important for teachers to constantly check on learners’ progress to help them achieve learning objectives on time.