bluuebunny/crossref_metadata_2025 huggingface dataset:
An Early Exploratory Method to Avoid Local Minima in Ant Colony System
Authors: Satukitchai Thanet , Jearanaitanakij Kietikul
Published: April 2020

Ant Colony Optimization (ACO) is a famous technique for solving the Travelling Salesman Problem (TSP.) The first implementation of ACO is Ant System. Itcan be used to solve different combinatorial optimization problems, e.g., TSP, job-shop scheduling, quadratic assignment. However, one of its disadvantages is that it can be easily trapped into local optima. Although there is an attempt by Ant Colony System (ACS) to improve the local optima by introducing local pheromone updating rule, the chance of being trapped into local optima still persists. This paper presents an extension of ACS algorithm by modifying the construction solution phase of the algorithm, the phase that ants move and build their tours, to reduce the duplication of tours produced by ants. This modification forces ants to select unique path which has never been visited by other ants in the current iteration. As a result, the modified ACS can explore more search space than the conventional ACS. The experimental results on five standard benchmarks from TSPLIB show improvements on both the quality and the number of optimal solutions founded.
Cluster Analysis to Find Sets of High-frequency Queries for Filtering in Similarity Join
Authors: Kunanusont Kamolwan , Chongstitvatana Jaruloj
Published: April 2020

Similarity search and similarity join are important operations in text databases. In some situations, some similar queries, called high-frequency queries, are repeated over a period of time. High-frequencyqueries-based filter is used to facilitate this type of queries. However, the performance of this method depends mostly on the chosen high-frequency queries. This paper proposes methods, which are based on DBSCAN and agglomerative hierarchical-based clustering algorithm, to find high-frequency queries for the filter, called DBRAN and DBSM. For evaluation, both DBRAN and DBSM are applied on various sets of queries to find high-frequency queries for three datasets. It is found that DBSM performs better than DBRAN when the variation among highfrequency queries is high. However, when the variation among high-frequency queries is low, the performance of both DBRAN and DBSM are about the same.
Automatic code locations identification for replacing temporary variable with query method
Authors: Rongviriyapanish Songsakdi , Karunlanchakorn Nopphawit , Meananeatra Panita
Published: April 2020

Automatic application of refactoring techniques can help developer save effort in removing bad smells from their code which improves software maintainability. To automatically remove long method bad smell, which is one of the most serious bad smells, we need an automatic application of six refactoring techniques. However, only one refactoring technique “Extract Method” can be automated. In this research, we propose an algorithm to identify code locations which will be extracted for creating a query method. We create a program dependence graph from the code with a long method bad smell and use a technique of program slicing to identify the code of a query method to replace a temporary variable. This is the most important step towards an automatic application of refactoring technique “replace temp with query”. We conducted an experiment to compare the correctness of refactored code between using our algorithm and using IntelliJ IDEA that is a java integrated development environment (IDE) with a feature of automatic refactoring. The result confirmed that our proposed algorithm can identify codes to form a query method for replacing a temporary variable in a long method with higher accuracy than IntelliJ IDEA almost three times
Dynamic Codebook for Foreground Segmentation in a Video
Authors: Kusakunniran Worapan , Krungkaew Rawitas
Published: April 2020

The foreground segmentation in a video is a way to extract changes in image sequences. It is a key task in an early stage of many applications in the computer vision area. The information of changes in the scene must be segmented before any further analysis could be taken place. However, it remains with difficulties caused by several real-world challenges such as cluttered backgrounds, changes of the illumination, shadows, and long-term scene changes. This paper proposes a novel method, namely a dynamic codebook (DCB), to address such challenges of the dynamic backgrounds. It relies on a dynamic modeling of the background scene. Initially, a codebook is constructed to represent the background information of each pixel over a period of time. Then, a dynamic boundary of the codebook will be made to support variations of the background. The revised codebook will always be adaptive to the new background's environments. This makes the foreground segmentation more robust to the changes of background scene. The proposed method has been evaluated by using the changedetection.net (CDnet) benchmark which is a well-known video dataset for testing change-detection algorithms. The experimental results and comprehensive comparisons have shown a very promising performance of the proposed method.
Optimal Dispatch Strategy of Cogeneration with Thermal Energy Storage for Building Energy Management System
Authors: Manusilp Kebsiri , Banjerdpongchai David
Published: April 2020

This paper presents optimal dispatch strategy of cogeneration with thermal energy storage (TES) for building energy management system (BEMS). In previous research related to cogeneration as a supply system, it is observed that there is some excessive heat from cogeneration operation released to the atmosphere. In order to improve energy efficiency, we therefore incorporate TES to utilize the excessive heat from cogeneration into two objective functions, i.e., total operating cost (TOC) and total carbon dioxide emission (TCOE). In particular, we aim to minimize TOC which is referred to economic optimal operation and to minimize TCOE which is referred to environmental optimal operation. Both optimal operations are subjected to energy dispatch strategy which TES constraint is taken into account. We demonstrate the dispatch strategy with a load profile of a large shopping mall as a test system and compare the results to that of previous dispatch of cogeneration without TES. The proposed strategy of cogeneration with TES can reduce TOC of the test system up to 4.15% and 1.85% for economic and environmental optimal operations, respectively. Furthermore, TCOE can be reduced up to 5.25% and 6.25% for economic and environmental optimal operations, respectively.
Color Systems and Color Image Enhancement Methods
Authors: Taguchi Akira
Published: April 2020

There are many color systems. Some systems are correspond to the human visual system, such as the Munsell color system. Other systems are formulated to ease data processing in machines, such as RGB color space. At first, Munsell color system is introduced in this paper. Next, RGB color system and hue-saturation-intensity (HSI) color system which is derived from RGB color systems are reviewed. HSI color system is important, because HSI color system is closely related to Munsell color system. We introduce the advantage and drawbacks of the conventional HSI color space. Furthermore, the improved HSI color system is introduced. The second half of this paper, we introduce a lot of color image enhancement methods based on the histogram equalization or the differential histogram equalization. Since hue preserving is necessary for color image processing, intensity processing methods by using both intensity and saturation in HSI color space are reviewed. Finally, hue preserving color image enhancement methods in RGB color system are explained.
Low computational cost matching pursuit algorithm for LCX-based Intruder Detection System
Authors: Sato Tomonori , Ma Ziji , Higashino Takeshi , Okada Minoru
Published: April 2020

The leaky coaxial cable (LCX) based intruder detection system detects intruders by making efficient use of time-variation of the channel impulse response among the cables. Recently, a compressed sensing (CS)-assisted intruder detection system has been proposed for improving the accuracy of the intruder detection. Although the CS-assisted system can improve the false detection probability performance efficiently, it is difficult to implement it because of its huge computational cost requirement. This paper proposes a modified matching pursuit (MMP) algorithm for reducing the computational cost of the CS-assisted intruder detection scheme. MMP can reduce the computational cost by limiting the search range in the vicinity of impulse response peaks estimated at the last measurement. Computer simulation results show the proposed system can reduce the computational cost for the conventional CS-basedalgorithm without degradation in the false detection performance.
Output Voltage Control of the SP topology IPT system based on Primary side Controller operating at ZVS
Authors: Nutwong Supapong , Sangswang Anawach , Naetiladdanon Sumate , Mujjalinvimut Ekkachai
Published: April 2020

This paper presents a technique to control the output voltage of a series-parallel (SP) topology inductive power transfer (IPT) system using only a controller, located on the primary side. This reduces the cost, size, complexity and loss of the system compared to conventional IPT dual-side controllers. An asymmetrical duty cycle control (ADC) of full-bridge inverters was used to control the DC output voltage to its designed value. Additionally, a zero voltage switching (ZVS) operation can be obtained at all power levels by varying the switching frequency of the inverter. Theoretical analysis was performed through a mutual inductance coupling model and verified by computer simulation. Experimental results of the circular magnetic structure IPT system with an adjustable air-gap confirm the validity of the proposed controller. The system efficiency was improved throughout the operation and the improvement became obvious as the output power was decreased.
A Decision Making Approach for Multi-Objective Optimization Considering A Trade-off Method
Authors: Sooktip Tipwimol , Wattanapongsakorn Naruemon
Published: April 2020

In multi-objective optimization problem, a set of optimal solutions is obtained from an optimization algorithm. There are many trade-off optimal solutions. However, in practice, a decision maker or user only needs one or very few solutions for implementation. Moreover, these solutions are difficult to determine from a set of optimal solutions of complex system. Therefore, a trade-off method for multi-objective optimization is proposed for identifying the preferred solutions according to the decision maker’s preference. The preference is expressed by using the trade-off between any two objectives where the decision maker is willing to worsen in one objective value in order to gain improvement in the other objective value. The trade-off method is demonstrated by using well-known two-objective and three-objective benchmark problems. Furthermore, a system design problem with component allocation is also considered to illustrate the applicability of the proposed method. The results show that the trade-off method can be applied for solving practical problems to identify the final solution(s) and easy to use even when the decision maker lacks some knowledge or not an expert in the problem solving. The decision maker only gives his/her preference information.  Then, the corresponding optimal solutions will be obtained, accordingly.
All-Optical Logic and Arithmetic Operators Designed by Modified Add-Drop Filter
Authors: Phongsanam Prapas , Yupapin Preecha
Published: April 2020

Optical micro-ring resonators (MRRs) element can be used in many applications. This paper we propose a photonics circuit design based on optical tree architecture (OTA) for all-optical elements by using the modified add-drop filter for an all-optical arithmetic logic unit (ALU) aimed for computing applications system. All-optical 2x4 decoder, all-optical comparator, all-optical half adder, all-optical half subtractor, all-optical full adder, all-optical full subtractor and proposed new design all-optical 4x16 decoder were proposed. We have studied the nonlinear effect in the modified add-drop filter system, which is control by injected the nonlinear pulses on top as an input for generated all-optical logic and arithmetic operations simultaneously at the through and drop port of modified add-drop filter. The optical input and control field of the modified add-drop filter circuit can be formed by nonlinear dark and bright pluses. The obtained simulation results have shown that the nonlinear pulse generated by the nonlinear modified add-drop filter can control the output consistency, which is important when the interconnect between each circuit output parts are required. The advantages of the modified add-drop filter are low power, ultra-fast switching, tuneable and high security which is compact size and footprint. It is suitable for the next generation of all-optical small-scale device and all-optical computing system requirements.
An Extra-Rate Spatial Enhancement Constructed by MSRR using Regularized Technique and SSRR using High-Frequency Pre-Forecasting
Authors: Patanavijit Vorapoj , Thakulsukanant Kornkamol
Published: April 2020

Under many circumstances, a high spatial resolution image (HR) is greatly needed for modern applications nevertheless the HR image captured device is usually overpriced cost. Hence, Super Resolution Reconstruction (SRR) technique, which can reconstruct a HR image from a single LR image or many LR images by using algebraic formulation, is one of the modern research fields in digital image processing (DIP) and Computer Vision (CV). In this paper, an extra-rate spatial enhancement constructed by MSRR (Multi-frame Super Resolution Reconstruction) using regularized technique and SSRR (Single-frame Super Resolution Reconstruction) using high-frequency pre-forecasting is presented in order to enlarge up to 16x ratio rate. Initially, a group of captured images with low spatial resolution are mathematically fused by MSRR using regularized technique established on a recursive Maximum Likelihood and Tukey's Biweight norm in order to enlarge up to 4x ratio rate. Next, this 4x enhanced image is enlarged to be 16x spatial resolution image by SSRR established on the high-frequency pre-forecasting. In the verification experimentation section, the verification outcome demonstrates that the proposed spatial enhancement is successful for enlarging HR image with 16x ratio rate with finer quality.
iRIS-RT: Eye Fatigue and Reaction Time Detector
Authors: Rakpongsiri Kedsara
Published: April 2020

The objective of this research is to develop an instrument to measure eye fatigue and reaction time for decision making. The data were automatically analyzed by the iRIS-RT program designed to measure the contraction or expansion of pupils by means of image processing in order to analyze changes of pupil diameters. The image processing technique is a set of images with continuous and different temporal intervals. The images are then transferred into a computer, stored and analyzed to obtain changes of pupil diameters. Pupil diameter of each image in each time interval is measured and frequency of blinking is detected and displayed on the computer screen in an attempt to analyze eye fatigue and to design the assessment of reaction time. The test program is designed with red, green and blue windows that randomly changes according to the set time in order to determine reaction to the colors and accuracy of decision to select the colors that correspond to those on the test program. The test results with the iRIS-RT program among 40 male and female volunteer participants aged between 18 and 35years reveal that the program is able to preliminarily measure and process eye fatigue. Furthermore, it is able to store and record personal results in the computer and Cloud media that are accessible via global online computer and internet systems. The results can be displayed on personal computers and other mobile devices. With regard to satisfaction of the participants with operations of the device, it is found that the satisfaction was at a high level, or 66.7%, and at the highest level, or 33.3%, on the overall efficiency of the device. From interviewing the experts after the construction of the device on its performance, attributes, size, safety, installation and result display, their satisfaction was at a high level.
Isarn Dialect Speech Synthesis using HMM with syllable-context features
Authors: Janyoi Pongsathon , Seresangtakul Pusadee
Published: April 2020

This paper describes the Isarn speech synthesis system, which is a regional dialect spoken in the Northeast of Thailand. In this study, we focus to improve the prosody generation of the system by using the additional context features. In order to develop the system, the speech parameters (Mel-ceptrum and fundamental frequencies of phoneme within different phonetic contexts) were modelled using Hidden Markov Models (HMM). Synthetic speech was generated by converting the input text into context-dependent phonemes. Speech parameters were generated from the trained HMM, according to the context-dependent phonemes, and were then synthesized through a speech vocoder. In this study, systems were trained using three different feature sets: basic contextual features, tonal, and syllable-context features. Objective and subjective tests were conducted to determine the performance of the proposed system. The results indicated that the addition of the syllable-context features significantly improved the naturalness of synthesized speech.
Competitiveness Evaluation Techniques for Cosmeceuticals E-Commerce Platform
Authors: Thiradathanapattaradecha Thanapon , Chaisricharoen Roungsan , Yooyativong Thongchai
Published: April 2020

Currently, the popularity of cosmeceuticals e-commerce is continuously increasing. A competition level among entrepreneurs is higher precisely, especially in the e-commerce platform. As a result, this situation causes to strengthen the competitiveness of several businesses. However, an evaluation of business operation planning which directly associates with the competitiveness of entrepreneurs is still the main issue. Therefore, this study proposes the methodology to define the cosmeceuticals e-commerce competitiveness through SWOT analysis, useful clustering methods including Self-Organizing Map (SOM) and K-means clustering, and Normalized Weight of Criteria for competitiveness criteria evaluation. The SWOT analysis is a reliable algorithm, which can adequately be used to evaluate the business performance with valid questionnaires. It provides the grouped attributes as 4 groups including Strengths, Weaknesses, Opportunities, Threats. Moreover, the appropriated factors result from the previous step will be clustered by SOM and K-means clustering for better data interpretation. SOM calculated 203 instances into 3 clusters; Low, High, No Class with 18 sec for execution time and 94.98% for accuracy. Meanwhile, K-means clustered previous dataset into 2 groups; high performance business and low performance business with 91.33% accuracy. In addition, the clustered data will be specified by Normalized Weight of Criteria for most influential criteria of Strengths, Weaknesses, Opportunities, and Threats factors to accomplish the high Competitiveness level of entrepreneurs. The results from this analysis can definitely help cosmeceuticals entrepreneurs to enhance the business strategy and advanced planning.
Enhancement of Gravitational Search Algorithm using A Differential Mutation Operator and Its Application on Reconstructing Gene Regulatory Network
Authors: Worasucheep Chukiat
Published: April 2020

Gravitational Search Algorithm (GSA) is a recent stochastic search algorithm that is inspired from the concepts of gravity rule and law of motion in physics. Despite its success and attractiveness, it has some coefficients and parameters that should be properly tuned to improve its performance. This paper studies the performance of GSA by varying the parameters that controls its gravitational force. Then a new differential mutation operator is proposed to enhance performance of GSA by accelerating its convergence. The proposed algorithm, namely DMGSA, is evaluated using 15 well-known benchmark functions from the special session of CEC2013 with different characteristics including randomly shifted optimum, rotation and non-separability. The results obviously confirms the performance achieved from the proposed mutation operator outperforms that from the attempts of parameter tuning in the original GSA. Lastly, DMGSA is applied for optimizing a small-scale gene regulatory network. The result demonstrates that its performance is highly competitive and clearly surpasses original GSA.
The Accuracy of Sorting Beverage Cans and Bottles for a Reverse Vending Machine
Authors: Watanyulertsakul Egkarin
Published: April 2020

At present, there are many types of beverage packages such as cans and plastic bottles which lead to a large number of waste beverage cans. Furthermore, throwing beverage cans away without management tends to be an ineffective way to get optimal utilization of resources. Hence, the primary emphasis of this work is on the development of automatic sorting of beverage cans for reverse vending machines. In addition, the accuracy testing of sorting beverage cans by the machine was designed based on three techniques which are easy to implement and which will bring sustainable energy innovations with communities’ participation. There are two sampling groups of cans and plastic bottles in the experimental studies. The first group is the group which already has data in the system for using this in a prototype of sorting process. The latter one is the group without data in the system or which has never been used before.
Furthermore, the reverse vending machine has two types of proximity sensors; inductive and capacitive which work together. The experimental results of sorting beverage cans and bottles on two sample groups show that the average accuracy of sorting is 99.20%. The sorting of beverage cans and bottles based on magnetic hinge and barcode provides an average accuracy of 79.20% and 50.00%, respectively. Classifying using the proximity sensor has the fastest operation with an average of 2.66 seconds, followed by barcode and hinge. Those takes 4.01 and 5.21 seconds, respectively.
ZVS-Operation of LLC Resonant Inverter with Phase Limit Control for Induction furnace
Authors: Kranprakon Piyasak , Sangswang Anawach , Naetiladdanon Sumate
Published: April 2020

This paper presents an LLC resonant inverter with phase limit control to guarantee zero voltage switching (ZVS) operation and protect switching devices from spike current during the heating process. The output power is controlled by using the asymmetrical duty cycle (ADC) modulation. With phase limit control, the non-ZVS operation and spike current caused by a change of duty cycle with fixed frequency and load Curie’s temperature can be eliminated. The proposed method is confirmed through computer simulation and hardware experiment. The experimental results are provided with the heating of a 300 g of Tin from room temperature until melting at 232 ˚C.
Very Short-Term Photovoltaic Power Forecasting Using Stochastic Factors
Authors: Khumma Kriangkamon , Tamee Kreangsak
Published: April 2020

This paper proposes a photovoltaic (PV) power forecasting model, using the application of a Gaussian blur algorithm ﬁltering technique to estimate power output and the creation of a stochastic forecasting model. As a result, aﬀected power can be forecasted from stochastic factors with machine learning and an artiﬁcial neural network. This model focuses on very short-term forecasting over a ﬁve minute period. As it uses only endogenous data, no exogenous data is needed.
     To evaluate the model, results were compared to the persistence model, which has good short-term forecasting accuracy. This proposed PV forecasting model gained higher accuracy than the persistence model using stochastic factors.
A comparative study of rice variety classification based on deep learning and hand-crafted features
Authors: TRUONG HOANG Vinh , Van Hoai Duc Phan , Surinwarangkoon Thongchai , Duong Huu-Thanh , Meethongjan Kittikhun
Published: April 2020

Rice is vital to people all around the world. The demand for an efficient method in rice seed variety classification is one of the most essential tasks for quality inspection. Currently, this task is done by technicians based on experience by investigating the similarity of colour, shape and texture of rice. Therefore, we propose to find an appropriate process to develop an automation system for rice recognition. In this paper, several hand-crafted descriptors and Convolutional Neural Networks (CNN) methods are evaluated and compared. The experiment is simulated on the VNRICE dataset on which our method shows a significant result. The highest accuracy obtained is 99.04% by using DenNet21 framework.
The Comparative Study of Multimedia Technological Applications Enhancing Active Self-learning in Online Course
Authors: Nobaew Banphot
Published: April 2020

Multimedia and modality-based instruction have been broadly applied to learning and teaching in the twenty-first century; they afford an authentic learning experience. This paradigm shift has pushed learning forward based on computer-based media since the early twenty century. Previous studies showed that using visual and verbal multimodal media can help to increase learning efficiency. However, most investigations seem to focus on a single mode or medium to increase learning efficiency; it is difficult to use these results to claim that one medium can be suited for every type of content since every medium has its own limitation of capability. This paper examines three types of media genres: an unanimated slide presentation, blended info- and motion graphics and an interactive game. These media were applied with an online course of Introduction to Information Technology in Data Communication and Networking for 286 undergraduate students at Mae Fah Luang University, Thailand during 2015. The results show that the students chose to learn from the blended info- and motion graphics and the interactive game more than the unanimated slide presentation; the interactive game is more attractive to the students if it is enjoyable. The most significant media design factors that encouraged and helped the students become better self-learning are content design (87.5%), continuity and color design (80.4%) and sound design (78.6%) respectively. Image, sound, motion, and interactivity are multimodalities that helped to keep learner attention. The most appropriate length for media such as the blended info- and motion graphics learning activities was about 5-10 minutes.
A new reinforced MAC protocol for lifetime prolongation of reliable Wireless Body Area Network
Authors: Azzouz Boufedah Badissi , Abdesselam Babouri , Mohamed Benmohamed , Nacer Abouchi
Published: April 2020

Recent development of sensors and sensor networks has allowed the creation of new emerging systems which is used as promising solutions in several types of applications. Among which, wireless body area networks (WBANs) is an example that enable continuous monitoring of patients vital signs parameters in everyday life situations. Reliability and energy optimization are considered amongst the important and challenging issues in WBANs. The standard IEEE 802.15.4 is of paramount importance MAC (Media Access Control) protocol for medical sensor body area networks, owing to its low-power, low data rate and low-cost features. In this paper, we propose a reinforcement optimized MAC protocol based on IEEE 802.15.4 dubbed RMAC. The proposed protocol aims to enhance the reliability and to extend the network life time, by reducing energy consumption. NS2 simulator is used for the implementation of the protocol and for the performance evaluation in comparison with the Standard IEEE 802.15.4. The simulation results show that our protocol outperforms the Standard in terms of reliability and network lifetime.
Training of Qualified IT Specialists in the Conditions of Digital Transformation of Education
Authors: Bouza M. K.
Published: April 2020

The article discusses issues of training specialists in the IT industry. The requirements for employees in the field of digital transformation are formulated and argued. A dynamic multi-level learning system is proposed, providing quality knowledge to students at each level of education.
Scientific and Methodological Aspects to the Formation and Development Management of «University 3.0» Innovation Environment
Authors: Aliakseyeu Yu. G. , Dudko N. A. , Minchenya V. T. , Kharytonchyk S. V.
Published: April 2020

The article analyzes the best practices of the Belarusian National Technical University on the development of an innovation environment by the example of establishing high-tech medical production. The system-forming elements, factors and mechanism for the improvement of the innovation environment of a higher education institution operating on the «University 3.0» model base are highlighted. The missions, functions, promising technologies and formats for the implementation of educational, research and entrepreneurial activities as subsystems of the internal innovation environment of a higher education institution and directions of interaction with the external innovation environment subsystems (government regulation, financing facility and the market) are considered. The article based on a systematic approach shows the specificity of the effective innovation environment which is manifested in synergy of its elements interaction. The mechanism ensuring functional coordination between all the «University 3.0» activities and the external environment subjects in order to achieve a common mission have been proposed
Principles and Directions of Long-Term Stimulation of Innovation Activity in the Social Sphere
Authors: Serebryakov D. A.
Published: April 2020

The article describes the main functions of socially oriented innovation in connection with technical innovations  – drivers of the third industrial revolution. Analysis of domestic and foreign innovative publications helped to formulate the basic principles of innovation in the social sphere. Directions of long-term stimulation of innovation activity in conditions of digital transformation have been developed. They are based on basic principles. It is also shown that the socio-economic development of the country should be based on qualitative population growth. Otherwise, the strategic importance of socio-economic policy is nulled and futuristic uncertainty comes. It is proposed to stimulate innovation in social sectors by increasing the innovative mentality of future generations of Belarusian people, improving the exchange of data in the system of information support of science, and by increasing the number of available sources of financing for innovations.
Optimization of the Process of Selection of Software in the Organization
Authors: Lukyanenko A. Yu.
Published: April 2020

The scientific article explores the role of software as a tool used by organizations to carry out economic activities in a digital economy without which it is impossible to have adequate competitiveness in a digital economy. The concept of “digital economy” has been clarified. A methodology has been developed to evaluate the effectiveness of the software used or selected on the basis of its qualitative and quantitative characteristics and the requirements of the workplace for the software functionality. Based on the theoretical and methodological base and the developed methodology, a scalable model of an effective management decision-making process for selecting and updating software in an organization is built, a comparison with existing practice is carried out. The significance of the research results is due to the lack of widely available methods in open access for the optimal selection of software as a tool, not related to involving external agents in the process and having the necessary scalability to use them, including collective, in organizations. This creates negative effects for organizations and the economy of the Republic of Belarus as a whole.
The Importance of Government Incentives for Automating Business Processes in Industry in Order to Increase the Efficiency of Innovation
Authors: Klimova N. P.
Published: April 2020

To develop innovative activities, the state offers various options for assistance and support within the framework of the innovation stimulation system. However, many of the proposed support tools remain unclaimed, since it is often difficult for organizations to evaluate and calculate the effect of their use due to the insufficient development of information systems. The level of automation of accounting is insufficient for making quick and informed decisions, which reduces the competitiveness of organizations. The main drawback of the existing systems of automation of accounting and  management in industrial organizations is their fragmentation, inflexibility, and inconsistency with modern requirements for complex information systems. Many organizations keep records in separate workstations, the so-called workstations, many calculations are carried out by means of table editors; the transition to integrated information systems has not yet become widespread. The starting point in the financial mechanism for stimulating innovation should be tools to stimulate the automation of business processes. The limiting factor for the transition to such systems is the high cost of implementation, therefore, the article considers the advantages and disadvantages of applying soft loans in order to stimulate further innovative development in this area, and also suggests expanding the practice of using such a promising tool to stimulate investment in business informatization as innovative vouchers on information technology. The advantages of such an instrument include the strengthening of the link between research, educational institutions and the real sector of the economy, and this tool also has such advantages as high transparency of spending and targeting. The relevance of the chosen research topic is also due to the fact that, according to the Concept of the National Strategy for Sustainable Development of the Republic of Belarus for the period until 2035, digitalization based on high technologies and new business models has been identified as a key element of the new model of the national economy [1].
9.2. Автоматизация учета, эксплуатации, испытаний и работы пожарной техники и пожарно-технического вооружения и оборудования
Authors: Krymskii V.V. , Ilnitsky S.V. , Gaydukevich A.E. , Gaydukevich A.E. , Gaydukevich A.E.
Published: April 2020

В Министерстве РФ по делам гражданской обороны, чрезвычайным ситуациям и ликвидации последствий стихийных бедствий при использовании средств индивидуальной защиты органов дыхания (СИЗОД) организован учет и контроль наименований оборудования только в бумажном виде. Стоит огромная проблема в доступности информационного обмена между подразделениями и органами управления. Для облегчения процесса учета СИЗОД предложено создание ключа доступа к этой информации путем нанесения на каждый элемент оборудования штрих-кода или QR-кода. Сделаны определенные выводы в области обеспечения пожарной безопасности.

It is organized account and control of individual protection of respiratory organs equipment names during its work and using in fire and rescue units of Emercom of Russia. There is a huge problem in availability of information exchange between divisions and governing bodies. For simplification of process of the accounting of individual protection of respiratory organs equipment, there was an offer for creation of a key of access to this information in the way the stroke - a code or a QR code is applied on each element of the equipment. Made certain findings in the field of fire safety.
5.7. Современные научные взгляды на сущность финансовой системы
Authors: Khamalinskaya V.V. , Khamalinskiy I.V. , Khamalinskiy I.V. , Khamalinskiy I.V.
Published: April 2020

Актуальность проведенного исследования заключается в необходимости обобщения и систематизации теоретических взглядов и научных методик, определяющих понятие и структуру финансовой системы страны. Авторами показана возможность формирования и использования различных методик исследования закономерностей и особенностей функционирования финансовой системы, что позволит исследовать особенности функционирования финансовой системы и обобщить проблемы и тенденции ее развития.

The relevance of the study lies in the need to generalize and systematize the theoretical views and scientific methods that define the concept and structure of the financial system of the country. The authors showed the possibility of the formation and use of various research methods of patterns and features of the functioning of the financial system. That will allow to study the features of the functioning of the financial system and to generalize the problems and trends of its development.
Nephroprotective effect of Aqueous Extract of the Hordeum vulgare L. in wistar rats intoxicated by Aluminium chloride
Authors: Hadj Fidah , Kadda Hachem , E.H. Adli Djallal , Mostapha Brahmi , Zakaria Merad , Khaled Kahloula , Miloud Slimani
Published: April 2020

The present study was undertaken to determine the effectiveness of the extract of Hordeum vulgare L to restore the adverse effects induced by the aluminum chloride (AlCl3) in Wistar rats, and this is through gavage with a dose of 13 ml/kg/d during a period of 21 days. H.vulgare L extraction by mac-eration allowed us to obtain an aqueous extract with a yield of 9,7%. Expo-sure to AlCl3at a concentration of 100 mg/kg in rats showed a decrease in body and kidney weight compared with those of the witness. This AlCl3 poi-soning also revealed a disruption of the various biochemical parameters, notably renal biomarkers. Indeed, the histological study showed very marked lesions in the renal tissue. In addition, the administration of aqueous extract of Hordeum vulgare L(H.V.A.E)resulted in a regain of body and kidney weight in rats compared to intoxicated rats. The results of the renal biochemical assays (urea, uric acid and creatinine) show a correction of the values following the administration of (H.V.A.E) compared to those of the intoxicat-ed animals. The analysis of antioxidant status in the kidney indicates that (H.V.A.E) restored the activity of the different antioxidant enzymes (SOD, CATand GPx) in (H.V.A.E)-treated and intoxicated rats. In effect, the histolog-ical study undertaken has shown a marked improvement in renal tissue ar-chitecture in intoxicated rats and treated with (H.V.A.E). This confirms that (H.V.A.E) protects the kidney against the toxicity of aluminum chloride.
Strong Near-infrared Spectral Variability of the Young Cloudy L Dwarf Companion VHS J1256–1257 b
Authors: Bowler Brendan P. , Zhou Yifan , Morley Caroline V. , Kataria Tiffany , Bryan Marta L. , Benneke Björn , Batygin Konstantin
Published: April 2020

Rotationally modulated variability of brown dwarfs and giant planets provides unique information about their surface brightness inhomogeneities, atmospheric circulation, cloud evolution, vertical atmospheric structure, and rotational angular momentum. We report results from Hubble Space Telescope/Wide Field Camera 3 near-infrared time-series spectroscopic observations of three companions with masses in or near the planetary regime: VHS J125601.92–125723.9 b, GSC 6214–210 B, and ROXs 42 B b. VHS J1256–1257 b exhibits strong total intensity and spectral variability with a brightness difference of 19.3% between 1.1 and 1.7 μm over 8.5 hr and even higher variability at the 24.7% level at 1.27 μm. The light curve of VHS J1256–1257 b continues to rise at the end of the observing sequence so these values represent lower limits on the full variability amplitude at this epoch. This observed variability rivals (and may surpass) the most variable brown dwarf currently known, 2MASS J21392676+0220226. The implied rotation period of VHS J1256–1257 b is ≈21–24 hr assuming sinusoidal modulations, which is unusually long for substellar objects. No significant variability is evident in the light curves of GSC 6214–210 B (<1.2%) and ROXs 42 B b (<15.6%). With a spectral type of L7, an especially red spectrum, and a young age, VHS J1256–1257 b reinforces emerging patterns between high variability amplitude, low surface gravity, and evolutionary phase near the L/T transition.
WASP-4 Is Accelerating toward the Earth
Authors: Bouma L. G. , Winn J. N. , Howard A. W. , Howell S. B. , Isaacson H. , Knutson H. , Matson R. A.
Published: April 2020

The orbital period of the hot Jupiter WASP-4b appears to be decreasing at a rate of −8.64 ± 1.26 ms yr−1, based on transit-timing measurements spanning 12 yr. Proposed explanations for the period change include tidal orbital decay, apsidal precession, and acceleration of the system along the line of sight. To investigate further, we performed new radial-velocity measurements and speckle imaging of WASP-4. The radial-velocity data show that the system is accelerating toward the Sun at a rate of −0.0422 ± 0.0028 m s−1 day−1. The associated Doppler effect should cause the apparent period to shrink at a rate of −5.94 ± 0.39 ms yr−1, comparable to the observed rate. Thus, the observed change in the transit period is mostly or entirely produced by the line-of-sight acceleration of the system. This acceleration is probably caused by a wide-orbiting companion of mass 10–300 M
Jup and orbital distance 10–100 au, based on the magnitude of the radial-velocity trend and the nondetection of any companion in the speckle images. We expect that the orbital periods of one out of three hot Jupiters will change at rates similar to WASP-4b, based on the hot-Jupiter companion statistics of Knutson et al. Continued radial-velocity monitoring of hot Jupiters is therefore essential to distinguish the effects of tidal orbital decay or apsidal precession from line-of-sight acceleration.
Se construire une identité de poète sur Twitter : polarisation et dynamiques
Authors: Cassina Adrien
Published: April 2020

À l’instar de la littérature, la poésie est largement présente sur le Web, comme en témoignent les nombreux blogs, revues ou anthologies en ligne. Twitter a ainsi pleinement été investi par des poètes qui, à travers une pratique d’écriture et de diffusion de poésie, développent tant une activité artistique qu’une sociabilité numérique. Comment ces femmes et ces hommes utilisent-ils les ressources de la plateforme Twitter pour construire leur identité de poète ? L’analyse se concentrera sur les références visuelles, textuelles et procédurales utilisées par ces poètes qui, en puisant dans l’imaginaire littéraire et les représentations liées au Web, mettent en scène des présentations d’eux-mêmes et construisent, en se saisissant des possibilités offertes par la plateforme, leur identité numérique de poète.
Poïèse et Poèse : faire avec et faire contre les outils d’écriture
Authors: Candel Étienne
Published: April 2020

Dans cet article, Étienne Candel interroge, de façon réflexive, la réception des textes qu’il a produits, notamment sur Twitter, Mastodon et Instagram, sous le nom d’ ironèmes et de trashtexts . Ces deux formats d’écriture inventés par lui sont des usages des dispositifs d’écriture en ligne et participent à ce titre de ce qu’il appelle la « poïèse » ; mais ils sont aussi des objets reçus socialement comme des formes littéraires, poétiques ou artistiques, et c’est ce phénomène d’artistisation qu’il décrit sous le nom de « poèse ». L’enjeu de l’article est d’envisager une articulation plus générale entre le « faire » de l’usage et les modalités qualifiantes des processus de réception.
Une poésie machinique ? Génération automatisée, intelligence artificielle et création littéraire
Authors: Lebrun Tom , Audet René
Published: April 2020

Cet article porte sur la présence de poésie produite par des machines (générateurs, intelligence artificielle) sur les réseaux sociaux. Nous y interrogeons le deuxième degré de distance que les algorithmes parviennent à atteindre dans leur émulation du langage humain ; particulièrement, nous examinons comment l’informatique se mesure à une « communication » littéraire. Alors que des bots arrivent assez bien à générer ce que l’on reconnaît comme poésie, grâce à certaines stratégies d’authentification du discours, les algorithmes d’apprentissage machine exemplifient, par leur fonctionnement, la lecture mise en réseau et l’idée même de la mobilisation d’une culture partagée dans l’écriture littéraire.
Del funduq a la alhóndiga: un espacio entre el emirato nazarí y el reino de Granada (s. XV-XVI)
Authors: Jiménez Roldán María del Carmen
Published: April 2020

El trabajo que presentamos tiene dos objetivos principales: primeramente, conocer las principales características estructurales y funcionales del funduq; en segundo lugar, observar la evolución tanto estructural como funcional que estos espacios sufrieron dentro y fuera del territorio islámico. Para ello utilizaremos la información arqueológica disponible que se complementará con algunos datos provenientes de la documentación escrita. Así conoceremos el funduq clásico, un edificio de planta cuadrada o rectangular, con patio central y uno o varios pisos, dedicados el inferior a cuadras y almacenes y los superiores a alojamiento de los viajeros/mercaderes. De este edificio encontraremos dos variaciones. Por una parte, el fondaco, un espacio arrendado o donado por las autoridades musulmanas a las comunidades cristianas de mercaderes que cumplía con todas las necesidades de estos últimos (religiosas, sociales y económicas). Y por otra, la alhóndiga, una institución con unas funciones específicas de almacenamiento y recogida de impuestos de determinadas mercancías.
Toledo, siglos XII-XV. La coexistencia de cristianos (latinos y mozárabes), musulmanes y judíos. Una síntesis
Authors: Molénat Jean-Pierre
Published: April 2020

Durante cuatro siglos, cristianos (de rito romano o visigótico), musulmanes y judíos coexistieron en la ciudad de Toledo. Pero tal coexistencia, antes de terminar de manera trágica, se caracterizó por muchos matices y atravesó circunstancias diversas. Cuando los llamados mozárabes (cristianos arabizados de rito visigótico) se fundieron en la masa cristiana de rito latino y lengua hispánica, después de dominar en la ciudad durante largo tiempo, los musulmanes (mudéjares), nunca muy numerosos, alcanzaron cierto apogeo en el siglo XIV, antes de quedar parcialmente marginalizados en el XV. En cuanto a los judíos, debido al papel que desempeñaban en la gestión del dinero, fueron objeto de la ira y el furor popular, sobre todo en los siglos XIV y XV, incluso después de su conversión, fingida o sincera, a la fe cristiana.
Šafā‘a. La cohesión de una sociedad
Authors: Tornero Emilio
Published: April 2020

Se presenta en este trabajo la doctrina de la šafā‘a, esto es, la intercesión escatológica del Profeta por su comunidad, desde la perspectiva de los nuevos vínculos de cohesión social de la sociedad religiosa instaurada por el islam que sustituían a la aṣabiyya tribal, constituyéndose la šafā‘a en el colofón y broche final de esos nuevos vínculos. Tras estudiar dicha doctrina se constata la seguridad de la salvación final que ofrece, elemento valiosísimo de cohesión social, y se destaca la exclusividad de la šafā‘a para solo el musulmán a través de la comparación de La disputa entre los animales y el hombre de los Ijwān al-Ṣafā’ con La disputa de l’ase de Turmeda y a través de la verdadera causa de la muerte de al-Ḥallāŷ según al-Rūmī. Hay, sin embargo, una excepción a esa exclusividad ya que existen musulmanes que quedan excluidos de la šafā‘a. Son estos, los herejes, quienes con la divulgación de sus nuevas doctrinas ponen en peligro la unidad y la cohesión de la comunidad. Se termina sugiriendo el posible calco de esta doctrina islámica en la devoción a la intercesión de la Virgen, pues la devoción mariana que con tanta fuerza irrumpe en el Occidente cristiano a partir del siglo XII, y que aparece reflejado en la Cantigas de Alfonso X el Sabio y en los Milagros de Nuestra Señora de Gonzalo de Berceo, es un fenómeno cuyo origen es todavía discutido.