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Journal of Applied Science, Engineering, Technology, and Education
ISSN : -     EISSN : 26850591     DOI : https://doi.org/10.35877/454RI.asci1116
Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and engineering.
Arjuna Subject : Umum - Umum
Articles 299 Documents
Solving Optimal Reactive Power Dispatch Problem by Chaotic Based Brain Storm Optimization Algorithm Kanagasabai Lenin
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.007 KB) | DOI: 10.35877/454RI.asci113

Abstract

In this work Chaotic Predator-Prey Brain Storm Optimization (CPS) algorithm is proposed to solve optimal reactive power dispatch problem. Predator–Prey Brain Storm Optimization position cluster centers to execute as predators, accordingly it will progress towards enhanced positions, although the left over thoughts do as preys; consequently they move far from their neighboring predators. In the projected algorithm chaotic theory has been applied to enhance the quality of the exploration. Ergodicity and indiscretion are utilized in the CPS algorithm, such that projected algorithm will not get trapped in the local optimal solution. Chaotic predator-prey brain storm optimization (CPS) algorithm has been tested in standard IEEE 30 bus test system and results show the projected algorithm reduced the real power loss effectively.
Forging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria Arnold Ojugo; Oghenevwede Debby Otakore
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.914 KB) | DOI: 10.35877/454RI.asci2163

Abstract

Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel coronavirus (covid-19). Data was collected from Federal Medical Center Epidemiology laboratory (a centralized databank for all cases of the covid-19 in Delta State). Data was split into training and investigation (test) dataset for the target system. Results show high predictive capability.
Dietary polyethylene inclusion affecting rabbit's performance Abdelhamid M. Abdelhamid; Ahmed A. M. Abdel Hamid; Mahmoud A. E. Hassan; Manar A. Almnsy; Adel E. M. Ibrahim
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1365.144 KB) | DOI: 10.35877/454RI.asci129

Abstract

A feeding experiment was conducted with rabbits as experimental animals for 2 months at 4 treatment groups under the same environmental conditions. The aim was to study the toxic effects of dietary graded levels of polyethylene (PE, 0, 1, 2, and 4 g/ton diet). The main effects were that some animals fed the PE-contaminated diets suffered from mange, diarrhea, weakness, and/or loss of weight. Post-mortem examination of the contaminated-diets fed rabbit revealed presence of bad smell liquids in its abdomen, residues of collective PE in the small intestine, collective feces in one part of the intestine and the parts were filled with aqueous accumulation, the color of one hepatic lobule was pale, and the lungs' color was bloody red. Yet, feed intake and water consumption increased by feeding the contaminated diets. Moreover, animals offered the contaminated diets reflected heavier body weight. However, the feed conversion (utilization) was negatively affected by the PE- contaminated diet; since, dietary PE-inclusion increased apparently feed consumption than the real body weight gain. Slaughter test of the PE-treated animals reflected many remarks including loss of rabbit's weight; increased skin weight, skin was thick and dough, changes in the color and quality of the carcass flesh, easy broken bone. When these animals were eviscerated, it were observed white-colored lungs, with necrosis and bloody infiltration, small-sized liver, with blackly-red color, enlarged gall bladder, narrow diameter of the small intestine, presence of collective mass of PE on the internal wall of the small intestine. The presence of PE in the experimental diets was responsible for significant lowering the specific gravity of the treated animals' bone, as well as their flesh moisture and fat; yet, their crude protein increased besides their edible parts and boneless meat percentages increased too, but not significantly. Dietary contamination with PE reflected its residues in the rabbits' flesh and increased the flesh content of ash (P>0.05). The contaminated diets were responsible for significantly (P≤0.05) evaluating lymphocytes %, MCV, MCH, and PLT and lowering both monocytes and granulocytes % as well as RBCs count. Significant (P≤0.05) increases in albumin, creatinine and uric acid concentrations and decreases of ALT activity were recorded with feeding rabbits the PE-contaminated diets; but, Cho. and Trig. concentrations were decreased (P≤0.05). There was a significant increase of scores of hepatic congestion and necrosis in liver from rabbits group received 0.4 PE when compared with control group. Statistical analysis shows significant increase of scores of renal congestion, fibrosis and acute tubular necrosis in group received 0.4 PE when compared with control group. Hence PE negatively affected rabbits' performance, health and quality, and may affect the consumers' health too.
Modeling Behavioural Evolution as Social Predictor for the Coronavirus Contagion and Immunization in Nigeria Arnold Adimabua Ojugo; Andrew Okonji Eboka
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.91 KB) | DOI: 10.35877/454RI.asci130

Abstract

Since the outbreak of the novel coronavirus (covid-19) pandemic from China in 2019, it has left the world leaders in great confusing due to its fast-paced propagation and spread that has left infected a world population of over Eleven Million persons with over five hundred and thirty four thousand deaths and counting with the United States of America, Brazil, Russia, India and Peru in the lead on these death toll. The pandemic whose increased mortality rate is targeted at ‘aged’ citizens, patients with low immunology as well as patients with chronic diseases and underlying health conditions. Study models covid-19 pandemic via a susceptible-infect-remove actor-based graph, with covid-19 virus as the innovation diffused within the social graph. We measure the rich connective patterns of the actor-based graph, and explore personal feats as they influence other nodes to adopt or reject an innovation. Results shows current triggers (lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent. At this, the death toll will climb from between 4.43-to-5.61-percent to over 12%.
Environmental Health Aspect of The Novel Corona Virus Disease and Its Global Impact Egbo Walamam Mansi
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.614 KB) | DOI: 10.35877/454RI.asci131

Abstract

Covid-19 is a severe acute respiratory syndrome (SARS) caused by a zoonotic virus in which bats have been identified as carriers. The disease outbreak was first reported on 1 December 2019, in Wuhan city in the Hubei province of China. It has infected more than eleven million persons worldwide and hundreds of thousands have died from the disease complications. It has spread across over 213 countries and territories globally. The global economic impact of the disease has been monumental. The impact cuts across global stock markets, aviation, tourism, entertainment and sports industries. Politics and governments have equally been impacted upon by the disease as legislative businesses have been suspended as a result of the disease. Many political leaders have tested positive and have got to undergone self quarantine and treatment. This paper have equally identified and itemized environmental health aspects of the disease which include: sneeze, cough, talk, touch and covid-19 control waste materials such as face mask, disposable hand glove, medical apron, used tissue papers. Conclusively, it is recommended that face mask should be produced with materials that will be comfortable to people in order to encourage the use. Disused materials should be disposing of properly and promptly.
Effect of a COVID-19 on Social, Psychological, Economic and Health Conditions in Libya Yousef Elgimati; Ahmed Alrasheed; Abdalla Mohamed Bashir
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.321 KB) | DOI: 10.35877/454RI.asci136

Abstract

The purpose of this paper was to measure the effect of a COVID-19 on social, psychological, economic, and health conditions in Libyan society. This study was undertaken through a questionnaire survey using the Google Form survey questionnaires in order to collect the data. A random sampling method was used from 1st June to 15th July 2020by obtaining greater insight into the issue. A result of this study revealed that the COVID-19 had a different effect on four dimensions (social, psychological economic, and health conditions). The findings of the study indicate that there is a small positive effect on social, middle, and above middle positive effects on psychological and economic respectively and high positive effect on health conditions with various percentages in Libyan society. This has been one of the first academic studies on the COVID-19 on social, psychological, economic, and health conditions addressed the Libyan society. Arguably, many of the areas covered in this study warrant more specific and in-depth investigation. The researchers hope that this paper will be beneficial to both Libyan people and the government in improving and developing the social aspects to avoid spreading COVID-19 in the future.
Short-term Forecasting of Cumulative Confirmed Covid-19 Cases Pandemic in Somalia Dahir Abdi Ali; Muhammad Sani
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.092 KB) | DOI: 10.35877/454RI.asci142

Abstract

Somalia has recorded the first confirmed Covid-19 case and first death case on March 16, and April 08, 2020, respectively. Since its arrival, it had infected 2,603 people and took the lives of 88 people while 577 patients were recovered as of 14 June, 2020. To fight this pandemic, the government requires to make the necessary plans accordingly. To plan effectively, the government needs to answer this question: what will be the effect of Covid-19 cases in the country? To answer this question accurately and objectively, forecasting the spread of confirmed Covid-19 cases will be vital. To this regard, this paper provides real times forecasts of Covid-19 cases employing Holt's linear trend model without seasonality. Provided that the data employed is accurate and the past pattern of the disease will continue in the future, this model is powerful to produce real time forecasts in the future with some degree of uncertainty. With the help of these forecasts, the government can make evidence based decisions by utilizing the scarce resource available at its disposal.
Nanotechnology for Mitigating Impact of COVID-19 Dr. Gagan Kant Tripathi; Harshit Rathore; Murthy Chavali; Deepshikha Rathore
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.786 KB) | DOI: 10.35877/454RI.asci151

Abstract

This review article aims to create awareness towards COVID-19 epidemic and develop a basic responsibility in human beings to control and stop the transmission of COVID-19. It has been highlighted that disaster is imminent if we play with nanostructures unknowingly. The effect of COVID-19 on mankind and its detection and transmission have also been discussed briefly. The protection guidelines including treatment procedures have been illustrated. The utilization of nanoparticles to detect and cure COVID-19 has been described.
Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring Milton Muñoz; Remigio Guevara; Santiago González; Juan Carlos Jiménez
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.917 KB) | DOI: 10.35877/454RI.asci159

Abstract

This paper presents and evaluates a continuous recording system designed for a low-cost seismic station. The architecture has three main blocks. An accelerometer sensor based on MEMS technology (Microelectromechanical Systems), an SBC platform (Single Board Computer) with embedded Linux and a microcontroller device. In particular, the microcontroller represents the central component which operates as an intermediate agent to manage the communication between the accelerometer and the SBC block. This strategy allows the system for data acquisition in real time. On the other hand, the SBC platform is used for storing and processing data as well as in order to configure the remote communication with the station. This proposal is intended as a robust solution for structural health monitoring (i.e. in order to characterize the response of an infrastructure before, during and after a seismic event). The paper details the communication scheme between the system components, which has been minutely designed to ensure the samples are collected without information loss. Furthermore, for the experimental evaluation the station was located in the facilities on a relevant infrastructure, specifically a hydroelectric dam. The system operation was compared and verified with respect to a certified accelerograph station. Results prove that the continuous recording system operates successfully and allows for detecting seismic events according to requirements of structural health applications (i.e. detects events with a frequency of vibration less than 100 Hz). Specifically, through the system implemented it was possible to characterize the effect of a seismic event of 4 MD reported by the regional seismology network and with epicenter located about 30 Km of the hydroelectric dam. Particularly, the vibration frequencies detected on the infrastructure are in the range of 13 Hz and 29 Hz. Regarding the station performance, results from experiments reveals an average CPU load of 51%, consequently the processes configured on the SBC platform do not involve an overload. Finally, the average energy consumption of the station is close to 2.4 W, therefore autonomy provided by the backup system is aroud of 10 hours.
Improving the Ability of Implementing Fun-Based Learning Through Structured Clinical Supervision on Mathematics Teachers at SMA Negeri 1 Barru, Indonesia Abdul Gani
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 2 (2021)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.832 KB) | DOI: 10.35877/454RI.asci163

Abstract

This study aimed to determine how much the increase in the ability of implementing fun-based learning for the mathematics teachers of SMA Negeri I Barru through structured clinical supervision. The method used in this study was a school action research. The population of this study were all mathematics teachers at SMA Negeri 1 Barru which consisted of 6 teachers: 3 males and 3 females. This study was conducted in the odd semester of the 2019/2020 school year for 6 meetings. Data in this study were collected by using observation sheets and structured clinical supervision observation instruments ranging from pre-observation, the observation of learning implementation to the observation of feedback implementation for each supervised teacher. The data were analyzed by using qualitative and quantitative descriptive analysis. The overall results of this study were based on the implementation of structured clinical supervision starting from the results of pre-observation of the teaching and learning preparation: syllabus, lesson plans for teaching materials and assessment instruments, as well as the results of observation of the assessment of the learning process.

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