Reviewerly/exHarmony huggingface dataset:
Reinforcement learning enhanced multi-neighborhood tabu search for the max-mean dispersion problem

This paper presents a highly effective reinforcement learning enhancement of multi-neighborhood tabu search for the max-mean dispersion problem. The reinforcement learning component uses the Q-learning mechanism that incorporates the accumulated feedback information collected from the actions performed during the search to guide the generation of diversified solutions. The tabu search component employs 1-flip and reduced 2-flip neighborhoods to collaboratively perform the neighborhood exploration for attaining high-quality local optima. A learning automata method is integrated in tabu search to adaptively determine the probability of selecting each neighborhood. Computational experiments on 80 challenging benchmark instances demonstrate that the proposed algorithm is favorably competitive with the state-of-the-art algorithms in the literature, by finding new lower bounds for 3 instances and matching the best known results for the other instances. Key elements and properties are also analyzed to disclose the source of the benefits of our integration of learning mechanisms and tabu search.
NAVIGATION, CONSCIOUSNESS AND THE BODY/MIND »PROBLEM«*)

Exploitation of an unconscious veto mechanism, mediated by a specific cortical circuit, and made possible by an adequate very-short-term memory span, paradoxically requires conscious awareness. Part of the same circuit, interacting with other brain components, permits internal simulations of the body's interactions with the environment, thereby providing the basis of mind.&#x0D; *) Presented on 21 August 1997 at the Brain &amp; Self Workshop, Helsingør, Denmark.
SYSTEMATIC OF EXPERT SYSTEM BASE ON SOFTWARE AND CALCULATION METHOD

The expert system is a system that seeks to adopt human knowledge into technology, so that technology can solve problems as is usually done by experts. A good expert system is designed to solve a particular problem by imitating the work of the experts. With expert systems, the layman can solve quite complicated problems, because in fact the problem can only be solved with the help of experts. For experts, the expert system will also assist its activities as a highly experienced assistant. Currently there are many studies that raise cases about expert systems. This study aims to create systematic on expert systems based on a collection of expert system cases and classify them based on the tools used, implementation types and frequently used methods.
¿Autoría algorítmica? Consideraciones sobre la autoría de las obras generadas por inteligencia artificial

Technological advances in artificial intelligence are making rethinking the current system of co-pyright protection. The present research work seeks to carry out an approach to the analysis on who owns the copyright works generated by artificial intelligence. It is discussed whether current legislation allows the so-called algorithmic authorship and the different scenarios involved in determining authorship are evaluated on this type of works. It is debated whether the authorship rests with the programmer, the system user or the person commissioning the work. It is conclu-ded that there is currently no express legal solution and therefore, a regulation must be sought according to the new technological challenges based on the consensus of the different actors that make life in the world of intellectual property.
PRIMARY DIAGNOSTICS OF TEACHERS OF SPECIAL DISCIPLINES OF TECHNICAL COLLEGE

The article raises the issue of readiness for teaching in the Ukrainian Technical College of specialists who do not have pedagogical education. It is determined that the motivating factor is an important factor influencing the work of a young teacher, the formation and development of future professionals, and the problem of determining the readiness of a specialist with engineering education to teach, his motivation for a new activity, ability to acquire knowledge and skills is extremely relevant and needs attention from the head of scientific and methodological work. It is proposed to introduce the primary scientific and diagnostic development of the mechanism of differentiated psychological and pedagogical influence on teachers of special disciplines of the technical college, which will determine the types of teachers, taking into account the level of their motivation for teaching. The algorithm of application of methods, including author’s, is considered, methodical recommendations concerning their application, calculation, use of results of research are given. It is concluded that the application of primary scientific and diagnostic development of the mechanism of differentiated psychological and pedagogical influence in the technical college will help to adjust group and individual scientific and methodical work with beginning teachers and teaching staff as a whole, to plan further stages of development of psychological and pedagogical competence.
No Regular Behavior Pattern in Neural Network Execution – A Matlab Experience

Neural Networks are designed and simulated using Matlab and performance of the networks are computed by Matlab simulation software.In this research work, 11 number of neural networks with different number of hidden layer (from 0 to 10) with two neurons in each hidden layer designed and simulated with XOR gate input, trained by XOR gate output target values and performances have been checked by using Matlab simulation software.No regular behavior pattern has been found in those performances of different neural network for XOR gate operation.
On the Application of Computer Combined with Multimedia Technology in Post-production of Film and Television

Abstract Since entering the 21st century, with the rapid development of economy, the people’s material living standard has been improved, the level of spiritual civilization has been improved, and the demand for leisure and entertainment has become more and more diversified, thus the demand for film and television works has become higher and higher. The relationship between film and television works and computer multimedia works is becoming more and more close. Computer multimedia technology has even become its core technology and has been widely used in film and television works, especially in post-production. The application of computer combined with multimedia technology has brought a good development opportunity for film and television post-production, met the requirements of film and television works in the process of post-production, and improved the quality and presentation effect of film and television works. Thus, the production efficiency of film and television works has been improved. The computer combines the multimedia technology to realize the simplification and flexibility of the editing operation, which makes the editing time greatly shortened, and even if the error occurs in the editing process, it can be scientifically restored at any time. What role does computer multimedia technology play in film and television works and how to further use multimedia technology to make the film and television culture develop at a higher level is a topic that has attracted the attention of the industry. This paper briefly discusses the role and methods of computer multimedia technology in film and television post-production [1] .
Security Measures Implementation on the Web Access: University’s Turnstile Interfacing

As technology keeps on upgrading, organizations were also challenged to adopt new trends. Higher education institutions (HEIs) were looking into the security measures of the technologies used in the university or colleges to secure important data as an important asset in the organization. The study addressed the security issues in terms of internet access through interfacing turnstile and web captive portal of the university. Only those currently enrolled students who pass the turnstile and who has an account in mymu server can successfully access the internet since the student will just be using one account for the mymu account and captive portal.
Nanoremediation- Clean up technology for water pollution

The most challenging task of the recent time is to search for ecofriendly, sustainable and economically feasible technology for cleaning water resources. Nanotechnology is one of the emerging technology of the current time which offers several environmental applications including remediation of water pollution. It is a promising clean up technology to combat water pollution wherein various methods can be involved to form new products, improve existing instruments and helps in reformulating new materials and chemicals which has better performance. It is therefore referred as green technology in terms of energy conservation and reduces the release of toxic compounds into environment. Nanotechnology in future holds great promises in remediating water related pollution problems in a sustainable way. The following review article summarizes the recent trends in the ongoing research related to environment remediation by nanotechnology.
MULTIMODAL KEY-BINDING BIOCRYPTO-SYSTEM USING LEASTSQUARE POLYNOMIAL CURVEFITTING BASED NEW FEATURELEVEL FUSION METHOD

In last few years, many works has been proposed using multimodal biometric system because of its high performance as compare to unimodal biometric systems.Most of the Multimodal Biocrypto-System (MBS) have been previously proposed to securely share secret-key over the network, but these systems uses complex signal processing techniques like DFT, SVM, neural network etc. based fusion techniques and relatively low performance.Therefore, we propose simple and effective but mathematically irreversible statistically based new feature level fusion technique using Least-Square Polynomial Curve-Fitting (LPC) for the proposed efficient Multimodal Key-Binding Biocrypto-System (MKBB).We validate the effectiveness of proposed technique over the fuzzy vault scheme using biometrics fingerprint and iris datasets.This proposed system is implemented to protect the user's cryptographic secret-key and effectively remove the use of public key infrastructure (PKI) system because of its complex certification issuing and distributing management costs, and centralized structure which uses convention network system and shows single point of failure.We also evaluate the overall performance system to successfully retrieval of key with the help of AES-256 algorithm to perform encryption and decryption.The experimentations is done using fingerprint FVC2002DB_1 and Iris CASIA-IrisV1 datasets.The system gives the 99.96% of accuracy, with 99.98% of GAR and 0% FMR.
Fabrication of custom -made ocular prosthesis using a graph grid

The successful rehabilitation of the ocular defect with a prosthesis will improve physical & emotional status of the patient.This article describes the rehabilitation of an ocular defect with a custom-made eye prosthesis using graph grid for the proper orientation of the iris.
Analisa Data Penjualan SaRa Collection menggunakan metode Apriori

Sales are one of the most important things in the SaRa collection. To increase the number of existing sales, SaRa collection must be able to see the opportunities and needs needed by its customers. For this reason, when the Covid 19 pandemic is happening now, the SaRa collection has made a connector that can be used to beautify the use of masks to prevent transmission of the Covid 19 virus. In the process of making the connector, it is still done homemade according to the model that consumers are interested in because it takes time to process and select the model. as well as the appropriate color. Currently, sales are still being recorded manually, so the owner is still having trouble providing a stock of the connector model and color that will be made in order to meet consumer demand. In order to find out what models must be provided, accurate calculations are needed, for that the author uses the a priori algorithm as a method which is expected to be taken into consideration in marketing and sales strategies as well as connecting stock data to be made. A priori calculations with itemset and associations based on sales transaction data in Sara's collection
Novel Technique for Securing IoT Systems by using Multiple ECC and Ceaser Cipher Cryptography

The Internet of Things (IoT) is one of the emerging technologies that has grabbed the attention of researchers from academia and industry. In near future IoT is expected to be seamlessly integrated into our environment and human will be wholly solely dependent on this technology for comfort and easy life style. Any security compromise of the system will directly affect human life. Privacy and security in IoT, is proven one of the most challenging areas. As we know that, the IoT devices have constraints like low power and less computational speed and the traditional encryption algorithm seems not feasible for IoT devices. So, we need to develop Lightweight encryption algorithm for IoT devices for secure communication and secure data transmission in IoT environment. Current cryptographic models and security schemes are based on widely adopted encryption algorithms, and privacy standards. Confidentiality is ensured in most of the cases with Advanced Encryption Standard (AES). Alternatively, Diffie-Hellman (DH) and Multi Curve Elliptic Curve Cryptography (ECC) supplement the privacy schemes, basically in asymmetric cryptography. Since the applicability of these cryptographic models and security schemes is a little bit unclear, detailed analysis is needed, in order to be ensured, that they can be implemented in the specified resources of IoT. Especially in the case, of minimized capabilities of handheld and portable devices another very important and effective cryptographic technique can be used is Novel Caesar cipher method is the public key cryptography technique. This method includes two statics (i.e. encryption and decryption). Encryption on Ceaser cipher changes the word in the text with another word and original text is replaced with another word. Then the cipher text can be generated. In order to achieve better results, there is an ongoing research for more flexible cryptographic suites. Special interest has been attracted by the security schemes of combined mode that supports probably encryption and authentication.
A Hybrid Clustering Technique to Propose the Countries for HELP International

HELP International is a charitable nongovernmental organization (NGO) that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities.HELP International has been able to raise around $ 10 million.Therefore, the head of the NGO needs to decide how to use this money strategically and effectively.Hence, the Head requires to make a decision for choosing the countries that are in the direst need of aid.This paper uses a hybrid clustering technique to suggest countries based upon socio-economic and health factors that determine the overall development of the country.The hybrid technique applies K-MEANS clustering and Farthest-First algorithm for clustering the countries.Both techniques are part of unsupervised learning tasks, which group data into multiple clusters.The hybrid technique proposes the countries that are most in need of help to HELP International.Moreover, it helps the head of the NGO in making the decision of choosing the countries that are in the direst need of aid and increase the number of countries without risk according to overall development factors by clustering techniques to HELP International socio-economic and health factors clustering.
SISTEM INFORMASI AKADEMIK SMK NEGERI 3 SUMBAWA BESAR BERBASIS WEB

This study aims to design and build a Web-Based Academic Information System of SMK Negeri 3 Sumbawa in order to (1) Assist Curriculum section work in managing school academic information which was previously still manual by printing and pasting on the bulletin board, so that the information system built makes curriculum part work is more effective and efficient. (2) Facilitate students and teachers in obtaining schoolrelated academic information such as student data, teacher data, lesson schedules, value data whenever needed. This research belongs to descriptive qualitative research. The use of descriptive type is intended as a problem-solving procedure that is investigated by describing the state of the subject and object under study at present based on facts that are visible and as they are. Development of information systems with PHP programming languages and MySQL databases. In this study using the method of software development extreme programming, data collection methods with observation, interviews, and literature studies, system modeling using a structured model namely ERD (Entity Relationship Diagram) and DFD (Data Flow Diagram), while testing the system with the black box method testing is testing the system in terms of functionality.
METHODOLOGICAL ASPECTS OF THE FORMATION OF THE READINESS OF STUDENTS OF IT SPECIALTIES OF A TEACHER TRAINING COLLEGE TO COUNTERACT INVOLVEMENT IN CYBER EXTREMISM

AuthorID:
The impact of governance on strengthening organizational immunity in greater Madaba municipality: A Case Study

This study aims to investigate the effect of governance in strengthening the organizational immunity in the Greater Madaba municipality. The study includes two variables, an independent variable, governance and four dimensions including organizational justice, accountability, sustainability, and transparency, and the dependent variable is organizational immunity. The researcher designed a questionnaire consisting of (30) items that included the independent variables, organizational justice, accountability, sustainability, and transparency, and the dependent variable, organizational immunity, and it was distributed to employees of the Greater Madaba municipality, where the researcher used the random sample method, as the size of the study population reached (210) employees. The study used a sample size of 136. The study found a set of results, including the level of both organizational immunity and governance in Greater Madaba municipality, was high, according to the viewpoint of the sample members, and the existence of a statistically significant impact at the level of significance (α ≤ 5%) of governance with its combined dimensions, organizational justice, accountability, sustainability, and transparency, on the organizational immunity in the Greater Madaba municipality. Likewise, the absence of a statistically significant impact at the level of significance (α ≤ 5%) for sustainability was one of the governance dimensions in organizational immunity in Greater Madaba, and there was no effect of transparency on regulatory immunity. The study recommends that the Municipality of Madaba focus on providing programs to develop employees and involve them in training courses in institutes, specialized centers, and universities and pay attention to sustainability and transparency.
Tibetan speech synthesis based on an improved neural network

Nowadays, Tibetan speech synthesis based on neural network has become the mainstream synthesis method. Among them, the griffin-lim vocoder is widely used in Tibetan speech synthesis because of its relatively simple synthesis.Aiming at the problem of low fidelity of griffin-lim vocoder, this paper uses WaveNet vocoder instead of griffin-lim for Tibetan speech synthesis.This paper first uses convolution operation and attention mechanism to extract sequence features.And then uses linear projection and feature amplification module to predict mel spectrogram.Finally, use WaveNet vocoder to synthesize speech waveform. Experimental data shows that our model has a better performance in Tibetan speech synthesis.
Extent Of E-Procurement Adoption, Challenges And Its Impact On Supply Chain Performance: A Statistical Analysis

The purpose of this research paper is to identify and understand the factors influencing extent of adoption of electronic procurement software and its impact on the performance of their supply chain postuptake of the software. The paper also tries to understand the challenges companies face with respect to the adoption of E-Procurement software solutions. A survey was floated to procurement leaders and with their responses analysis was done. Statistical tools such as Exploratory Factor Analysis (EFA), descriptive statistics were used. The twonew factors that got grouped were Downstream Procurement Activities and Upstream Procurement Activities where firms adopt E-Procurement software for the Procure-to-Pay and Source-to-Contract respectively. Reliability test was successfully employed to validate the data set. The descriptive statistics tells us that the Supply Chain Performance had an above average impact by E-Procurement Adoption with a considerable fluctuation. The challenges in adopting E-Procurement were determined to be of moderate extent with cost of these procurement software solutions being a major challenge for uptake. Currently not all firms are using procurement software as one size fit all solution for their procurement management and this paper helps us understand the landscape better by grouping the penetration of electronic procurement into two factors.&#x0D;
Learning to Have a Civil Aircraft Take Off under Crosswind Conditions by Reinforcement Learning with Multimodal Data and Preprocessing Data

Autopilot technology in the field of aviation has developed over many years. However, it is difficult for an autopilot system to autonomously operate a civil aircraft under bad weather conditions. In this paper, we present a reinforcement learning (RL) algorithm using multimodal data and preprocessing data to have a civil aircraft take off autonomously under crosswind conditions. The multimodal data include the common flight status and visual information. The preprocessing is a new design that maps some flight data by nonlinear functions based on the general flight dynamics before these data are fed into the RL model. Extensive experiments under different crosswind conditions with a professional flight simulator demonstrate that the proposed method can effectively control a civil aircraft to take off under various crosswind conditions and achieve better performance than trials without visual information or preprocessing data.
Research on Pre-service English Teachers' Professional Ability Development Preference Based on MALL

Mobile-Assisted Language Learning (MALL) provides a new method and view for pre-service English teachers to improve their professional ability. Through the questionnaire survey of 105 students majoring in English in colleges and universities, using SPSS20.0 to carry out descriptive statistics on the effective data collected, analyzing the data of their maximum value, mean value and single sample t test, this paper discusses the preference of different pre-service English teachers to improve their different professional abilities by using mobile devices. It is found that pre-service English teachers pay more attention to the improvement of English professional knowledge with the support of mobile devices, followed by teaching skills, and the lowest attention to the use of mobile devices to improve their teacher professional quality. Therefore, the purpose of this study is to find out the lack of pre-service English teachers' preference to improve their ability through mobile technology, which provides a new learning idea and inspiration for the future English teachers to polish their own professional skills.