Reviewerly/exHarmony huggingface dataset:
Can Big Population Always Bring Better Optimization Ability to Evolutionary Computation for Large-Scale Optimization?

Artificial intelligence (AI) has fast developed nowadays especially in the deep learning field that most of the deep neural networks pursue the better problem-solving ability by making the network models deeper, larger, and more complex. However, too large and too complex AI algorithms/models require too large computational burden, which is not reality in academic researches nor the right way to real human intelligence. Moreover, in another research branch of AI named evolutionary computation (EC), which is inspired by the biological evolution of nature and swarm intelligence behaviours, will the EC algorithms become more efficient with larger and more complex algorithm model when solving complicated optimization problems like the large-scale optimization problems (LSOPs)? To this concern, this paper investigates whether some existing large-scale optimization EC algorithms can further improve their performance in solving LSOPs by only increasing the population size. We select 12 representative algorithms for investigation, including 4 standard EC algorithms and 8 well-known large-scale optimization algorithms. Then, we adopt the widely-used IEEE Congress on Evolutionary Computation (CEC 2010) LSOPs benchmark test suite to compare the performance of the same algorithms with different population sizes. The experimental results show that simply increasing the population size does not necessarily improve the performance of algorithms in solving LSOPs.
Looking Back at a Two-Year Journey [President’s Message]

“An exciting journey has started for me!” In this way, I began my inaugural “President’s Message” column <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> .
Chaos-Based Advanced Encryption Algorithm Using Affine Transformation in S-Box and Its Implementation in FPGA

In the data communication system, security must be concentrated. Security and the complexity of algorithms dealing with security increase because of the randomization in secret keys. Hence, recently, cryptography algorithms must be capable of balancing enormous memory and execution time based on the hardware platform. FPGA (field-programmable gate arrays), a reprogrammable device, are attractively used to implement hardware employed in encryption algorithms. Advanced Encryption Standard (AES), an efficient and cost-effective symmetric cryptographic algorithm, is broadly used in applications like ATMs, smart cards, mobiles, and internet servers to maintain data confidentiality. A secure, robust cryptosystem depends on AES substitution box, and chaotic components are proposed in this chapter. They comprise an effective pseudo chaotic number generator (PCNG), global diffusion, and block cipher. The finite field is used to define the PCNG, which eliminates the danger of depreciated secufrity as a subsequent dynamic degradation. At the same time, numerical implementation of chaotic maps is always stated as real numbers. In the modified Bernoulli process, diffusion properties are increased efficiently by horizontal addition diffusion (HAD) and vertical addition diffusion (VAD). The strength of cryptography is tested in detail in S-Box proposed through the various benchmark standards. The results of experiments and examination of performance showed that this chaos-based advanced encryption algorithm proposed using S-box Bernoulli process (CA-S-box-BP) achieves 96% efficiency, 64% non-linear criterion, and 41% strict avalanche effect with 98 Kbps in 75 ms.
Remote Speech Reconstruction Based on Convolutional Neural Network and Laser Speckle Images

Remote speech reconstruction is widely used in counter-terrorism, medical science and engineering. In order to obtain reconstructed speech with high accuracy, we propose a speech reconstruction method. This method consists of two parts. Firstly, some optical devices are used to collect speckle images. Secondly, the convolutional neural network is used to detect the subtle motion of speckles. The results show that the lowest mean absolute error of the sinusoidal signal reconstructed by the method is 0.0489, and the lowest mean absolute error of the real speech is 0.0271. Compared with the convolutional neural network proposed before, the error of reconstructed speech is small, and the number of parameters is significantly reduced, with 0.73M for our model compared to 11.45M for the previous model. Besides, the time cost of training on some datasets is reduced to less than 1 hour, which is much lower than the previous model. The experimental results prove that our model is a lightweight, high-accuracy model for remote speech reconstruction with short training time.
Multiway Bidirectional Attention and External Knowledge for Multiple-choice Reading Comprehension

Teaching machines to understand human language is one of the most elusive challenges in artificial intelligence. Machine reading comprehension is a crucial task in evaluating how computer systems understand natural language. This study presents a machine reading comprehension model based on external knowledge. We use a framework named K-Adapter to infuse two kinds of external knowledge with two specific adapters. This model can capture richer semantic information, which is more suitable for real application scenarios. The proposed model is evaluated on the COSMOS QA dataset and outperforms the competitive baselines.
VIRTUAL QUALITY TOOLBOX AS AN INNOVATIVE SOLUTION SUPPORTING LIFELONG LEARNING

The article features the quality tools presentation and selection system for solving problems in production processes using the Virtual Reality (VR) technique.The main goal of the Authors' application is to facilitate the acquisition and assimilation of knowledge related to the use of quality tools in SMEs' everyday industrial practice.The solution is dedicated to production workers -including unskilled workers and those who resume education after a long break.The study carried out as part of the project has shown that one of the barriers in employee training is an inaccessible form of knowledge (text descriptions written in a language incomprehensible to production workers, no visual examples, complicated instructions and no practical guidelines for selecting a problem-solving tool).This obstacle was overcome by using in the developed prototype system immersive virtual reality techniques and the three-dimensional visualization of selected quality tools.
Peningkatan Sumber Daya Manusia Berbasis TIK dan Literasi Digital melalui Pelatihan TIK Bagi Masyarakat Distrik Nimboran

Improving human resources in the field of ICT and digital literacy for village officials is very important in this digital era. The lack of skills in operating ICT has hampered in operating Ms. Office and google. The purpose of this training activity is to increase the capacity of human resources in the field of ICT and digital literacy in the community of Nimboran district. The method used in this activity is direct training and mentoring. This ICT activity was carried out for three days of training. At the beginning of the activity, it was distributed to measure participants' understanding in operating Ms. Office and Google. Monitoring and evaluation is done by presenting the post-test directly. The result of this ICT training is 72,61%have been able to improve their competence in operating Ms. Office and Google.
Evaluasi Keterlaksanaan Gerakan Literasi Sekolah dalam Persiapan Assesemen Kompetensi Minimum pada Program Kampus Mengajar 2 di SDN Sugihrejo 03

The low interest in reading in elementary school students at this time so that it is necessary to get used to reading 15 minutes every day before learning begins. The School Literacy Movement plays an important role in institutions because reading activities can provoke students to read so that it will increase students' reading interest in each school. This research method uses a descriptive qualitative approach. Data were obtained from carrying out observations or observations, interviews with the Principal and 6 Class Teachers and filling out an open questionnaire. Based on research, the implementation of the School Literacy Movement has been going well, although not optimally, and there are differences and similarities that have been prepared or strategies from classroom teachers to increase students' reading interest. The method used by low grade and high grade teachers. The impact of the School Literacy Movement experienced by students during the habit of reading 15 minutes before learning begins. facilities and infrastructure in schools to support the School Literacy Movement program, namely a library equipped with a reading corner and interesting illustrated reading books.
WEBISSH – AN API TESTING TOOL

Over the years, software development has gone through many changes.One of the biggest changes that happened in recent years, is the use of the MVC pattern for developing software or web application.In the MVC development, the controller receives all requests for the application and then instructs the model to prepare any information required by the view.The view uses the data prepared by the controller to bring the final output.A REST API (also known as RESTful API) is an application programming interface (API or web API) that conforms to the constraints of REST architectural style and allows for interaction with RESTful web services.The present work forwards this approach and proposes a reference ontology for REST services along with a formal procedure for converting Open API service descriptions to instances of this ontology.We focused on tools that automatically use Swagger (OpenAPI v3.0), Specifications for designing REST APIs.We evaluated a tool whose results may help software engineers to test the APIs.
Application and research on key technologies of smart campus based on 5G environment

As specified in the 13th Five-Year plan issued by the Chinese government, we must pay attention to the application of advanced technology in teaching, the cloud computing, big data, and integrate other advanced technologies into the cause of education, so as to improve the level of science and technology on campus, promote the realization of smart education. Construction pf smart campuses is based on the Internet, to support students’ learning and teachers’ teaching by advanced technologies, achieving smart teaching and learning at the same time. This initiative mainly includes construction of a smart teaching environment, teaching resources and teaching service, and smart campus management. It is not only an upgrading of digital campus construction, but also a comprehensive improvement of information technologies with the arrival of Internet + and the Internet of things (IoT) era so as to promote the construction of an overall intelligent environment (Zhang 2018). Relying on technologies of 5G, IoT, cloud computing, big data and other advanced information engineering technologies, we can carry out a full range of campus construction, promote the scientific decision-making, build an open teaching environment, and provide teachers and students a more convenient and comfortable place to live, work, study. This paper mainly analyzes how to convert digital campus to smart campus, and analyzes the transformation of the mode to establish a comprehensive service system based on mining and analysis of daily behavioral data of students and teachers. It can not only effectively improve the utilization of data, but also enhance sharing of data, promote scientific decision-making, help the schools to decipher students’ and teachers’ behaviors, and hence improve school management and educational quality (Cao 2019).
LA TIERRA : Soil Moisture Detector With Automatic water Irrigation

In this paper, we present a brief conceptual development of the soil moisture detector with automatic water irrigation system. The oxygen that is provided by proper watering is essential for containergrown plants and trees. Because of inappropriate scheduling or inadequate watering, many people are confused of how to take good care of pricey plants or trees like bonsai. In this case, a computerised system that can recognise when to water plants properly could be useful. In this study, an Arduino microcontroller board with an ATMEGA 328p chip was employed. It has a few sensors built in to monitor lighting, soil moisture, and water level in the plant's pot. The Arduino has been programmed to obtain the sensor's norm, compare it to our predetermined standard threshold, and turn on or off the water pump depending on the needs of the plants. If there is a problem supplying water from the source, the owner will be notified via a message alert system that has been set up. The work presented here is the mini-project work of the 2nd sem students of electronics &amp; communication engineering department of dayananda sagar college of engg., bangalore.
Directing Technique as Artistic and Creative Component in General Stage Design of a Theatrical Performance

The purpose of the research is to study the director's accent as a short-term discrete means of building the audience's perception and the director's artistic figurative technique in the process of creating a stage form. The methodology of the research consists in the application of art criticism, functional, axiological, comparative, and system research methods for the analysis and characterisation of the director's accent as a holistic associative identifier of the creative process, which is a diverse, author-organised mechanism of the director's figurative vision, which invariably interacts with the general concept of the stage work; to determine the types and classification guidelines of directorial accents, the artistic combination of use in theatrical form, the effectiveness of their effectiveness in the stage transformation of literary material; to define a model for different types of directorial accents, their visual elements and dominant privileges; analysis of the technology of using directorial accents in the event-spectacular nature of reflecting the figurative vision of artistic effectiveness. Research novelty. A consistent substantiation of the principles, signs and features of the use of the director's accent as a set of means of ideological and emotional expressiveness is given, and a classification landmark of their types in the creative structure of constructing a theatrical performance is carried out. Conclusions. Acting art has been the owner of theatrical stage for more than one century, but in the 20th century it categorically gave way to the leadership of the art of directing, its multifaceted large-scale means of visualisation and ideological and thematic expressiveness. The modern practice of directors' stage creativity every day gives rise to many new variants of accents, diverse in content, form and classification landmark. Director's activity assumes a regulated step-by-step, planned systematic nature of the creative process of creating a stage form, the final chord of which is the arrangement of director's accents.&#x0D; Key words: theatre, actor, director, director's accent.
Conceptual model of innovative library media space

&#x0D; The purpose of the work is to build a conceptual model of the library media space, identify the structural and functional elements of its subject area, and outline the relationships between them. The research methodology is based on a set of general scientific methods of generalisation, systematisation, and forecasting. The work used the semantic analysis of the texts of publications and the methodology of conceptual modeling to outline the connections between the ‘digital’ component of the library media space and the library socio-cultural functions, the compliance of the library professional resources with new competency requirements. The scientific novelty consists in the identification of the main system-forming elements, which in the relationship and mutual influence form the innovative media space of the modern library. On their basis, the conceptual model of the library innovative media space is substantiated, the main concepts of which are defined as digital technologies, the tasks of the library social and communicative activities in the digital media space, as well as the digital competence of the library specialist. Conclusions. The conceptual model of the innovative media space of libraries is based on the following concepts: digital technologies, the tasks of social and communicative activities of the library in the digital media space and digital competences of the library specialist. The evolution of the functioning of the innovative media space of the library should take place in accordance with the general processes of digitisation of society, the development of librarianship, and be actualised in IT projects for the introduction of digital technologies in libraries and the acquisition by library specialists of the necessary competencies for their use. &#x0D; Keywords: innovative media space of the library, conceptual model, digital technologies, social and communicative activities, competencies of library specialists.&#x0D;
Music Aesthetics as Philosophy of Music: Genesis and Topical Contemporaneity of Musicology

The purpose of this work is to reveal the natural principle of the precedence of the philosophy of music in music science, which removed musical aesthetics with its basis of the traditional philosophical and rationalist system of Cartesianism. ‘Culturologisation’ of modern musicology testifies to the absorption of non-logical properties of associative knowledge, which, according to Yu. Krysteva, is no longer rejected by science, being called the ‘hermeneutic-interpretive’ meaning of the object of the study. The methodological basis of the research is the intonation approach of the B. Asafiev school in Ukraine, as it was in the works of O. Zosim, O. Markova, O. Muravska, O. Kozarenko, Liu Bingjian, O. Roschenko with an emphasis on hermeneutic and stylistic-comparative analytical search engine. The scientific novelty of the work is due to the theoretical primacy in the musicology of Ukraine of the statement of the philosophy of music as a substitute for the sphere of musical aesthetics, which has prevailed since the 18th century, as a "speculative theory of music” relative to the traditional core of musicology, the theory and history of music. Conclusions. The movement of musical aesthetics into the bosom of the philosophy of music was carried out by the displacement, following practice, in musical science of the theatrical-secularised expression of general aesthetic antitheses in favor of the all-encompassing lyric as a specifically musical embodiment of beauty, and the dramatic and the comic appear in the degrees of incompleteness of the lyric presentation, which delimits the “aesthetic-sensual” in the musical sense. The focus of musical expressiveness on the aestheticism of the beautiful and lyrical in this approach generalises, despite its direct ecclesiasticism, the experience of spiritual music, for which the beauty of the lyrical, in the syncresis of the suprapersonal and personal, expression (compare with the “spiritual beauty” of music in Mikhail Psellus, 11th century) displaces meaningful antitheses, which theoretically coincides with the symbolism of Pythagoreanism-Neoplatonism in the philosophical-mental understanding of music as a touch to the Eternal.&#x0D; Key words: musical aesthetics, philosophy of music, traditional musicology, modern culture-oriented musicology, genesis of music science.
A security view for LIDO

This article deals with cybersecurity and specially IoT security. We add a seven view to the Internet of Things (IoT) universal modelling language called “LIDO”. “LIDO” has six (6) different views each represents an aspect of the IoT domain. Security deals with tree aspects: Confidentiality, Integrity, Availability (CIA). This CIA triad model is a safety model that is intended to guide strategies for data security inside the places of a society or corporation. The “OSI” propose a model made of seven security layers that satisfies this CIA triad Model. We present in this article a layered IoT security view based on standards. We have retained this OSI model in seven layers to build the security view. The most delicate layer that we can't control is the “human layer”. To address this lack, we propose to set up an ethic which regulates the conscience and the behavior of man. We propose to include this ethic that educators and security specialists will define in the textbooks of generations to come.
Network Architecture for Optimizing Deep Deterministic Policy Gradient Algorithms

The traditional Deep Deterministic Policy Gradient (DDPG) algorithm has been widely used in continuous action spaces, but it still suffers from the problems of easily falling into local optima and large error fluctuations. Aiming at these deficiencies, this paper proposes a dual-actor-dual-critic DDPG algorithm (DN-DDPG). First, on the basis of the original actor-critic network architecture of the algorithm, a critic network is added to assist the training, and the smallest Q value of the two critic networks is taken as the estimated value of the action in each update. Reduce the probability of local optimal phenomenon; then, introduce the idea of dual-actor network to alleviate the underestimation of value generated by dual-evaluator network, and select the action with the greatest value in the two-actor networks to update to stabilize the training of the algorithm process. Finally, the improved method is validated on four continuous action tasks provided by MuJoCo, and the results show that the improved method can reduce the fluctuation range of error and improve the cumulative return compared with the classical algorithm.
Stereo Based 3D Perception for Obstacle Avoidance in Autonomous Wheelchair Navigation

In recent years, scientific and technological advances in robotics, have enabled the development of disruptive solutions for human interaction with the real world. In particular, the application of robotics to support people with physical disabilities, improved their life quality with a high social impact. This paper presents a stereo image based perception solution for autonomous wheelchairs navigation. It was developed to extend the Intellwheels project, a development platform for intelligent wheelchairs. The current version of Intellwheels relies on a planar scanning sensor, the Laser Range Finder (LRF), to detect the surrounding obstacles. The need for robust navigation capabilities means that the robot is required to precept not only obstacles but also bumps and holes on the ground. The proposed stereo-based solution, supported in passive stereo ZED cameras, was evaluated in a 3D simulated world scenario designed with a challenging floor. The performance of the wheelchair navigation with three different configurations was compared: first, using a LRF sensor, next with an unfiltered stereo camera and finally, applying a stereo camera with a speckle filter. The LRF solution was unable to complete the planned navigation. The unfiltered stereo camera completed the challenge with a low navigation quality due to noise. The filtered stereo camera reached the target position with a nearly optimal path.