2 research outputs found
Not Available
No full textNot AvailableThe disease trend of livestock and poultry
indicated that very few deadly viral and
bacterial diseases are prevalent in the A & N
Islands. The prevalence of parasitic diseases
is reported to be very high in almost all
parts of the Islands. An understanding of the
epidemiology of disease is crucial for the
development and implementation of effective
diagnosis, treatment, control, and managemental
practices. Hence, temporal and
spatial epidemiological study of the livestock
diseases was carried out. Among the
parasitic disease, highest number of cases
were reported due to ascariasis (34.02%)
followed by fascioliasis (29.6%), amphistomiasis
(25.5%), and strongyloids (10.9%).
The trend showed that parasitic diseases
increase during the rainy season (July to December).
The secular trend of other diseases
indicated that sero-prevalence of Infectious
bovine rhinotracheatis (IBR) was found to
be 20.58%, which is on increasing trend as
compared to last 5 years data. The seroprevalence
of Brucella abortus was 12.84%
during the period 2000 to 2014.However,
during the last 4 years the prevalence is
found to be nil. The sero-prevalence of peste
des petits virus (54.93%) and bluetongue
(77.9%) has been detected for the first time.
The high prevalence of PPR and BT in goats
is considered to be an alarming situation.
The island has become presently free from
goat and bovine brucellosis, goat and bovine
tuberculosis. However, there is alarming
situation of emergence of few bovine and
Temporal and Spatial Epidemiological
Trend of Emerging Livestock Diseases of
Andaman and Nicobar Islands, India
Jai Sunder1
Tamilvanan Sujatha1
Arun Kumar De1
Debasis Bhattacharya1
Ponraj Perumal1
Lohit Kumar2
Anandamoy Kundu1
1
Division of Animal Science,
ICAR-Central Island Agricultural Research Institute,
Port Blair, A & N Islands, India 744 106
2
ICAR-Central Inland Fisheries Research Institute,
Barrackpore, Kolkata, India , 700 120
Corresponding author : Jai Sunder, Division of Animal Science,
ICAR-CIARI, Port Blair, A & N Islands, India,
E-mail : [email protected]
Intern J Appl Res Vet Med • Vol. 17, No. 2, 2019. 30
goat viral and bacterial diseases of FMD,
PPR BT, orf and leptospirosis. Considering
the changing climatic condition and to
improve the health and productivity of the
livestock and poultry a strict surveillance,
and regular monitoring of the important
diseases of livestock and poultry required to
be carried out.Not Availabl
Energy Management Analysis of Residential Building Using ANN Techniques
Get PDF The process of limiting the amount of energy that is utilized is known as energy conservation. This can be accomplished by making more effective use of the energy that is available. As a result, there is a requirement for more effective management of the consumption of energy in buildings. It is essential to have an accurate load calculation for a residential building because the loads for heating and cooling add up a significant portion of the total building loads. In this study, the load analysis of the HVAC (Heating, Ventilation, and Air Conditioning) system in a residential building was carried out by taking into consideration three different neural networks. These networks are known as the feed forward network, the cascaded forward back propagation network, and the Elman back propagation network. During the process of conducting a load study of the heating and cooling loads on an HVAC system, performance measurements like MAE (mean absolute error), MSE (mean square error), MRE (mean relative error), and MAPE (mean absolute percentage error) are taken into consideration. It has been discovered that the cascaded forward back propagation method is the most effective method, with MAE, MSE, MRE, and MAPE values of 0.08, 0.0336, 0.0051, and 0.51% respectively for heating load and MAE, MSE, MRE, and MAPE values of 0.0975, 0.0406, 0.0053, and 0.53% respectively for cooling load
