Dey & Midha (1996) showed that some of the complete diallel crosses plans, obtained by using triangular partially balanced designs with two associate classes, are optimal. In this investigation, it is derived that these optimal designs for diallel crosses are robust also against the unavailability of one block.
Human civilisation is observing a very strange and serious time fighting an invisible disastrous enemy, the NOVEL COVID -19 corona virus. Initially observed in the Wuhan province of China, its symptoms range from mild illness to pneumonia. Here we design an IoT based device which can detect the subsistence of this virus presumably based on certain framework of body components. In this context we summarized the latest research process of epidemiology, pathogenesis, clinical sensing and discussed some scientific advancement to combat the epidemic novel COVID -19. This paper proposes a design of an IoT based device which can detect the subsistence of this virus presumably based on certain framework of body components. Presence of corona virus in human body may be detected by measuring an individual’s body temperature with the help of temperature sensors. RQ or respiratory quotient will be used as another determining principle to detect corona virus. Analysis of blood samples also tells us the difference between an infected and a normal sample. From analysing the blood sample we can easily determine the total leukocyte count whereas an infected person can have an abnormal leukocyte count. We can access the data over the wifi and over the internet. Some parts of the device like the breathalyzer will be sanitized automatically and injection needles will be loaded automatically after one use and is convenient for proper detection as it analyses the three components of a. So commercially it would be economically reliable product.
People of our country are searching for all kind of protection against the virus which has been spread in all countries, according to surveys it is known that coronavirus keep active on the metallic grounds but on the other hand it can remain on shoe for three to five days. As plastic, leather, and rubber are the good transporter of viruses so daily requirements made by these materials are needed to be sanitized. If a person goes to an infected place or sneezes or speaks in front of another person can be infected easily by the globules spread over the shoes. Also, as our shoes come in contact with most of the dirt and germs, it is another reason for growing corona along with another virus. For this which virus and bacteria stay stick with the sole of the shoes can be carried to home. So, to fight against this situation, this paper proposed a smart IoT based Shoe Sanitizing System. Our proposed system will detect and remove the bacteria or virus by liquid spraying sanitizer along with the light of UV and at last, the shoes are dried with the air of DC. We can monitor and control the system over the Wi-Fi or internet by the implementation of the Node MCU and 4G GSM module. We have constructed this system to be carried out on the entry gates and doors. Through this device, a passer-by can avoid destroying the pandemic and also lower cost.
The present investigation involves the methods of construction of complete diallel cross plans using balanced incomplete block (BIB) designs. Furthermore, the analysis of complete diallel crosses plans are carried out to estimate the general combining ability of the ith line (i=1, r 2, r …, r v) where the intra- block analysis of the adjusted sum of squares for GCA and the unadjusted block sum of squares are also obtained, thereafter the relationship between the estimates of BIB design and the estimates of the GCA effect of CDC plan has been established. Moreover, it has also been shown that the complete diallel crosses design obtained through two BIB designs satisfying v1=b1= 4 5 1+3=v2=b2, r r1=2 5 1+1=r2=k1=k2 and 5 1= 5 2 are universally optimum. These results are further supported by a suitable example of each. However, the need of this study is to show that the analysis of the CDC plan is reducible to the analysis of generating the BIB design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.