Global journal of Mechanical Sciences and Engineering


EMERGING INTERNET OF THINGS (IOT) TECHNOLOGY TO IDENTIFY AND REPORT SUSPECTED CASES OF EBOLA VIRUS DISEASE: A SURVEY OF 2014 EBOLA OUTBREAK

Review Article of Global journal of Mechanical Sciences and Engineering EMERGING INTERNET OF THINGS (IOT) TECHNOLOGY TO IDENTIFY AND REPORT SUSPECTED CASES OF EBOLA VIRUS DISEASE: A SURVEY OF 2014 EBOLA OUTBREAK AMADI, Gloria Y., OMOTOSHO, Olawale J., OKOLIE, Michael O., AGBAJE, Michael O., NGOFA, Reuben. O Department of Computer Science, Babcock University, Nigeria The application Internet of Things (IoT) technologies that are readily available across many developed countries of the World can drastically improve the rapid response of health practitioners in handling and managing infectious diseases in patients, especially Zoonotic disease like Ebola Virus disease. The management of Ebola Virus disease in real time is a challenge and will be our focus due to the danger it poses in case of an epidemic outbreak as it requires rapid response to checkmate the disease. This paper uses a case study approach in its methodology. It presents an investigative framework for the application of Internet of Things (IoT) Technologies in tackling the Suspected Case of Ebola Virus Disease in Nigeria. The study proposes the use of IoT technology and other smart devices (such as smartphone, body temperature sensor) in sensing and identifying Suspected Case of Ebola Virus, and Reporting of Real time data generated from the Suspected case anytime, anywhere for quick response intervention. The result is to provide better health emergency rapid response and proper management of the virus disease pattern to achieve timely intervention in the control or containment of the outbreak while limiting the spread and risk factor. The general aim of this work is to design a real time detection and/or identification system for Suspected Cases of Ebola Virus Disease. The specific objectives are to: conduct a relative review of frameworks to aid the propose system, design an Ebola Smart Detection System (EDS) to detect and/or identify ...

EVALUATION OF FIELD PEA (PISUM SATIVUML.) GENOTYPES FOR YIELD AND YIELD ATTRIBUTING TRAITS

Research Article of Global journal of Mechanical Sciences and Engineering EVALUATION OF FIELD PEA (PISUM SATIVUML.) GENOTYPES FOR YIELD AND YIELD ATTRIBUTING TRAITS Kedir Yimam*, Aliyi Robsa, Gizachew Yilma and Temesgen Abo Kulumsa Agricultural Research Center The production and productivity of field pea in Ethiopia is constrained by low-yielding po-tential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly sig-nificant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod -1 . The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences be-tween PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73 %. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73% .Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher herita-bility (H2) ...

CORRELATION AND PATH ANALYSIS FOR SOME AGRONOMIC CHARACTERS IN FIELD PEA (PISUMSATIVUM L.) GENOTYPES

Research Article of Global journal of Mechanical Sciences and Engineering CORRELATION AND PATH ANALYSIS FOR SOME AGRONOMIC CHARACTERS IN FIELD PEA (PISUMSATIVUM L.) GENOTYPES Kedir Yimam*, Deresa Tesfaye and Gebeyehu Achenf Kulumsa Agricultural Research Center Field pea is an important pulse crop in Ethiopia. However, the national productivity of field pea is low and thus knowledge on the nature and magnitude of character association and identification of important character is a prerequisite for the development of high yielding field pea genotypes. Hence a total of 49 field pea genotypes were grown in 7x 7 simple lattice design at two environments during 2018/19 main cropping season to estimate the magnitude of association among characters and to study the contribution of direct and indirect effect of different characters on grain yield in field pea genotypes. Positive and significant genotypic correlation observed between grain yield with plant height (rg=0.67), seeds per pod (rg = 0.45), days to maturity (rg =0.41) and pods per plant (rg=0.33). In additions, genotypic path analysis showed that plant height (0.746) exerted the maximum positive direct effect on grain yield followed by stand count at harvest (0.443), 1000 seed weight (0.372), seeds per pod (0.214), pods per plant (0.213), and days to maturity (0.013). Finally, selection for traits such as plant height, pods per plant, seeds per pod and days to maturity could improve grain yield in field pea. Keywords: correlation, direct effect, indirect effect, path coefficient ...

RESPONSE OF FIELD PEA (PISUM SATIVUM L.) GENOTYPES TO ASCOCHYTA BLIGHT (MYCOSPHAERELLA PINODES) DISEASE

Research Article of Global journal of Mechanical Sciences and Engineering RESPONSE OF FIELD PEA (PISUM SATIVUM L.) GENOTYPES TO ASCOCHYTA BLIGHT (MYCOSPHAERELLA PINODES) DISEASE Kedir Yimam Assen Kulumsa Agricultural Research Center The yield of field pea in Ethiopia is partly hampered due to the prevalence of Ascochyta Blight disease. 49 field pea materials including 21 introduced field pea materials; 19 single plants selected from bulked gene pool materials and 9 released varieties were evaluated under field condition of two environments using simple lattice design to identify resistant genotypes. The current study revealed that considerable variation was found for response against ascochyta blight diseases and yield performance even if high level of resistance materials were not identified. High degree of disease severity was observed at Kofele site than Bekoje. Out of the total 49 genotypes; 16 genotypes (GPHA03, GPHA019, GPHA06, GPHA01, GPHA018,P-313-010 , P-313-045 ,P-313-086, P-313-082, P-313-071 , P-313-065 , P-313-098 , P-313-061 , P-313-068 , P-313-067 and PDFPT-BEK) were moderately resistant and the remaining 33 materials were susceptible to ascochyta blight disease. Genotypes PDFPT-BEK, P-313-067,P-313-010, and P-313-082 were relatively high yielder and moderately resistant materials. To confirm with the present finding, it must be further studied in a number of years and locations with more number of genotypes and to get more resistant genotypes for further breeding purpose. Keywords: Ascocayta blight, disease severity, host, Pisum sativum, resistance ...

Manuscript Title: The title should be a brief phrase.

Author Information: List full names and affiliation of all authors, including Emails and phone numbers of corresponding author.

Abstract: The abstract should be less than 500 words. Following abstract, a list of keywords and abbreviations should be added. The keywords should be no more than 10. Abbreviation are only used for non standard and long terms.

Introduction: The introduction should included a clear statement of current problems.

Materials and Methods: This section should be clearly described.

Results and discussion: Authors may put results and discussion into a single section or show them separately.

Acknowledgement: This section includes a brief acknowledgment of people, grant details, funds

References: References should be listed in a numbered citation order at the end of the manuscript. DOIs and links to referenced articles should be added if available. Abstracts and talks for conferences or papers not yet accepted should not be cited. Examples Published Papers: 

1. Avinaba Mukherjee, Sourav Sikdar, Anisur Rahman Khuda-Bukhsh. Evaluation of ameliorative potential of isolated flavonol fractions from Thuja occidentalis in lung cancer cells and in Benzo(a) pyrene induced lung toxicity in mice. International Journal of Traditional and Complementary Medicine, 2016; 1(1): 0001-0013. 
2. Vikas Gupta, Parveen Bansal, Junaid Niazi, Kamlesh Kohli, Pankaj Ghaiye. Anti-anxiety Activity of Citrus paradisi var. duncan Extracts in Swiss Albino Mice-A Preclinical Study. Journal of Herbal Medicine Research, 2016; 1(1): 0001-0006.

Tables and figures: Tables should be used at a minimum with a short descriptive title. The preferred file formats for Figures/Graphics are GIF, TIFF, JPEG or PowerPoint.

Proofreading and Publication: A proof will be sent to the corresponding author before publication. Authors should carefully read the proof to avoid any errors and return the proof to the editorial office. Editorial office will publish the article shortly and send a notice to authors with the links of the paper.

Open Access

Global journal of Mechanical Sciences and Engineering is a peer reviewed open access journal publishing research manuscripts, review articles, editorials, letters to the editor in Mechanical Sciences and Engineering.

Peer Review

To ensure the quality of the publications, all submitted manuscripts will be peer-reviewed by invited experts in the field. The decisions of editors will be made based on the comments of the reviewers.

Rapid Publication

Time to first decision: within 2 days for initial decision without review, 18 days with review; Time to publication: Accepted articles will be published online within 2 days, and final corrected versions by authors will be accessible within 5 days.  More details....

Rapid Response Team

Please feel free to contact our rapid response team if you have any questions. Our customer representative will answer your questions soon.

Global journal of Mechanical Sciences and Engineering

Loading