European Journal of Formal Sciences and Engineering
Latest Publications


TOTAL DOCUMENTS

27
(FIVE YEARS 15)

H-INDEX

1
(FIVE YEARS 0)

Published By Euser

2601-8675, 2601-8683

2022 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Ana Carolina Mariath Magalhães Corrêa e Castro ◽  
Mário Mestria

Temperature control becomes increasingly necessary with each day, be it in industrial, commercial or residential environments. In a similar way, technology has become a common tool in everyday life. Thus, the technologies need to accompany advances in the controls of processes in many fields, creating applications that can be used in mobile devices alongside these processes. Therefore, this paper proposes temperature monitoring of an environment, via Bluetooth wireless communication and with interface display on a mobile application, developed in MIT App Inventor. While implementing commands via hardware and software a procedure to lower room temperature was applied through a ventilation system. The data are collected through a DHT11 temperature sensor, and the wireless communication is through a HC-05 Bluetooth module, both connected to the development board Arduino. It was possible to condition the cooler to work accordingly with a preset temperature range by using its IDE (Integrated Development Environment). Thereby, this project is a low-cost and advantageous alternative to temperature control and monitoring supported by technological advancements.


2021 ◽  
Vol 4 (2) ◽  
pp. 105
Author(s):  
T Sasilatha ◽  
Elavarasi R ◽  
V. Karthikeyan

Solar still is the ancient low cost device to distillate the saline water. Paraffin is a kind of phase change material which has a thermal storage characteristic and it can absorb and release a large amount of latent heat during the phase transition process. Ethylene Glycol was used as a PCM to study the thermal characteristics of water and absorption rate. A Nano phase change material plays a vital role in solar energy conversion and is used to enhance the thermal conductivity behavior on thermal energy storage systems. Materials at the nanoscale have a larger surface area and it has higher thermal properties than the macro particles. Incorporating NPCM into basin material helps to improve the productivity and the evaporation rate. The performance of the single basin double slope solar still was higher than the single slope solar still. Despite significant efforts, there are some challenges, such as the thermo physical properties of basin material, flow rate, insulation material and thickness that must be overcome in order for this technique to be useful in practice. In this paper, a detailed comparison of the various solar stills, designs, fabrications and water production analyses are discussed. Hence it is confirmed that NPCM has a higher potential than PCM for saline water desalination processes. This study confirmed that the Paraffin composites are stable up to 160°C and it increases the efficiency due to increased thermal properties of NPCM.


2021 ◽  
Vol 4 (2) ◽  
pp. 10
Author(s):  
Marta Marçal Gonçalves ◽  
Francisco -Manzanares Villena

Most of the work on resilience of urban infrastructures focuses on their technical performance and reliability in disaster situations. In general, when we link urban infrastructure and Civil Engineering, we think of technology, engineering, constructions and technical or control buildings. In a state of pandemic like the current one, the study of the relationship between urban infrastructures and resilience is a phenomenon scarcely studied in the literature. The main objectives of the article are to analyse, from a Civil Engineering and actors’ perspective, the role and behaviour of urban infrastructures for the maintenance of the wellbeing of the community in a pandemic situation, and to fill a gap in the existing bibliography. The authors argue that the human factor is the most important element for infrastructure to be resilient in a Covid-19 situation. To achieve the objectives, a review of the literature was carried out considering the works published in the last 10 years. Then, a reflection is made about the influence of the resilience in infrastructures during a pandemic situation considering the relevant sustainability factors. As practical implications of this article, the drawn conclusions are expected to represent value for the societies of the future.


2021 ◽  
Vol 4 (2) ◽  
pp. 95
Author(s):  
Salhi Roumeissa

Time management and control are crucial for project success, and it has known an increasing interest by researchers around the world since the appearance of project management and until now. The aim of the present paper is to provide a comprehensive overview of researches in this field. A bibliometric analysis of researches in time management and control published in the Web of Science (WoS) during 2012-2021 was conducted in order to find the most influential publications in this field, as well as, the countries that contribute the most to these researches, and the most used key words. The VOS Viewer was used for mapping and visualizing bibliometric networks. The results show an increased trend of publications in this field. And that the major contributors to researches in Time Management and Control are People's Republic of China, the United States of America, and England. Moreover, Labadie (2004) was the most cited author. Also, the results show 3 main levels of keywords, the first was related to time management in general, the second was related to the models and systems using and the third concerning the tools, the methods used in time management and control. These findings could help researchers to understand more the topic of time management and control, and it opens up the scope of view to conduct studies in related fields.


2021 ◽  
Vol 4 (2) ◽  
pp. 56
Author(s):  
Migena Ceyhan ◽  
Zeynep Orhan ◽  
Dimitrios Karras

Web 2.0 has given to all people the right to become a representative of a huge cast of informal media. The importance of this power is getting more evident everyday. Every social media actor can influence the rest of the world by one’s own opinions, feelings, and thoughts generously shared on multiple media. This information belonging to various fields of life can be very handy and be used to one’s advantage, gaining precious experience. One of the greatest problems that this poses is the huge number of data spread everywhere, which are difficult to process as row data per se. Social media and general sentiment text analysis is of much valuable use, accomplishing the task extracting pure gold out of raw mineral. The key point of this investigation is to characterize new reviews automatically. To start with, features selected out of all the word roots appearing in the comments were used to train the system according to known machine learning algorithms. Next, critical words determining positive or negative sense were extracted. Another strategy was attempted eliminating common terms and dealing only with the significant class-determining words to build vocabulary with them. Aparts from linear approach, vector based feature sets were prepared out all or some of the features. The outcomes acquired were analyzed and compared leading to important conclusions, emphasizing the importance of feature selection in text classification.


2021 ◽  
Vol 4 (1) ◽  
pp. 11
Author(s):  
Jingle B. Magallanes ◽  
Jinky B. Bornales ◽  
Rene Luna-Garcia

The study was aimed at providing a device to estimate the range of values of the u- and d-quark masses through the elastic ep-scattering form factors at the low energy regime. ROOT generated dcsep data sets, from theoretical and experimental form factors, were compared to modified dcseq and their intersections were determined from the average of a total of 3000 events for each dcs at various scattering angles selected randomly from 0o to 180o. The proton mass was required as a parameter used in the relativistic recoil factor of dcseq to shift its distribution closer to dcsep thereby attaining the critical intersections. For quarks carrying effective masses, the extrapolated energy intersection of dcsep generated from the average of all form factors with the modified dcseu is 226.00013MeV2 and this is lesser than that of the modified dcsed at 1093.00004MeV2 with bin size of 1MeV2 and their respective dcs intersections are 10.07049x10-4 and 0.36976x10-4, in barns. Summary of results are also given for quark masses derived from MS scheme and Lattice QCD. By considering all possible scattering angles at fixed transfer momentum, the relativistic recoil factor was treated as a constant that shifted the distribution and gave rise to a tool in estimating quark mass range.


2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Alexandra Ivanova ◽  
Teordor Roshavelov ◽  
Ivanka Marinova

The article studies the properties of interior color schemes and finishing materials in order to find optimal combination for improving indoor conditions in higher education study room and to contribute to better educational process. Optical, physical, physiological and emotional properties of colors and materials are compared to living and study requirements in the context of their complexity. Recommendations for appropriate combinations of finishing materials and colors are given.


2021 ◽  
Vol 4 (1) ◽  
pp. 81
Author(s):  
Edgardo Leopoldo Maza-Ortega ◽  
Carmen Cecilia Espinoza-Melo

This research reveals the change that occurs in a university course when using narratives, which allows facing monumentalism in the classrooms, considering that, in most of them, classes are still being held in a traditional way without taking into account what the students think about the topics covered in the courses. The research is within the qualitative method. The results obtained allow to establish the influence of the course on the learning strategies used by the students, as stable learning indicators, two networks are presented: one corresponding to the use of narratives, and the second, incorporation of the question. Students are motivated to work collaboratively and have a favorable opinion of implementation.


2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Sudipta Sen ◽  
N. B. Manik

Present work has studied potential barrier of Phenosafranin dye based organic device and has observed influence of different concentrations of titanium dioxide nanoparticles on this parameter. We have made different devices by taking different weight ratios of the dye – nanoparticles blend which are 1:1, 1:2, 1:3 and 1:4. These organic devices have been formed by varying the concentrations of titanium dioxide nanoparticles keeping same dye content. One device is also formed without any nanoparticle to compare influence of nanoparticle on potential barrier of the device. These devices are formed by sandwiching the dye – nanoparticle blend in between the Indium Tin Oxide coated glass and Aluminium coated mylar sheet. The potential barrier is measured from device’s I-V plot and also by Norde function. These two methods remain in good agreement showing that potential barrier is mostly decreased when the concentration of the titanium dioxide nanoparticles is highest in the blend of Phenosafranin dye and titanium dioxide nanoparticles. The ratio of dye –nanoparticle blend of 1:4 shows lowest potential barrier and it is highest when Phenosafranin dye based organic device is made without any nanoparticle. The reduced potential barrier in the presence of higher concentration of nanoparticles can be ascribed to improved filling of traps. Lowered potential barrier at metal – organic contact will improve the charge flow resulting in better performance of the device.


2020 ◽  
Vol 3 (2) ◽  
pp. 77
Author(s):  
Mokeddem Allal

This article describes the contribution of artificial intelligence (AI) to the literature collection process, which has become more efficient and more homogeneous. In this context, the researcher will receive his literature not only according to his field. Moreover, the literature is strongly linked to scientific and academic ambitions. AI through its deep learning techniques offers the possibility of speeding up the process of collecting augmented literature via an approach based on the annotation of scientific names and none-scientific names related to the field. AI provides original or reproduced research avenues with reliable and precise results. In this article, we have highlighted how to develop conceptual framework based on scientific and none-scientific names related to the area of expertise, all ensuring the reproducibility, reliability and accuracy of the study.


Sign in / Sign up

Export Citation Format

Share Document