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Spatial Distribution of Cholera cases in Damaturu Town, Yobe State, Nigeria

Cholera disease appears to be a serious infections disease that bedeviled many locales, particularly in developing countries. A single case of cholera is a threat to neighboring areas and a global concern. The distribution of the disease is largely determined by series of environmental factors such as climate, local geography as well as living standards. Similarly, poor sanitation and hygiene are part of the drivers for the disease progression in most affected communities. Based on 10 years of data from the epidemiological unit, this study undertook the spatial analysis of cholera disease incidences in the Damaturu Local government area so as to determine the hotspots of the disease in the area and awareness of the disease among people. Also, six wards were purposively selected and questionnaires were administered to 381 household respondents. Descriptive statistics and GIS tools were used to analyze the data. Results were presented in maps and frequency tables. The findings reveal that there are three high vulnerable areas, five moderate areas, and three low-risk areas. The epidemic was concentrated in Nayinawa, Kukareta, and Maisandari wards. Nearest to the water body and high population density are factors that determine the spread of cholera disease in the study area. Further research is needed especially in the environmental factors influencing the occurrence of cholera in other to prevent and control future outbreaks and disasters.

Published by: Hadiza Usman, Falmata Usman Charangi

Author: Hadiza Usman

Paper ID: V7I5-1204

Paper Status: published

Published: September 14, 2021

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Research Paper

In-vitro Antimicrobial activity of Moringa Oleifera and Ocimum Sanctum leaves against subclinical mastitis-causing pathogens

Among the 164 culturally positive samples, In vitro drug sensitivity test was conducted on 20 samples, and among these 19, 17, 15, 13, 9, and 7 samples showed a sensitivity of 95.00, 85.00, 75.00, 65.00, 45.00, and 35.00 percent to Enrofloxacin, Ceftriaxone, Amoxicillin + Clavulanic acid, Tetracycline, Gentamicin, and Streptomycin, respectively. These samples also showed maximum sensitivity to leaf extract of Moringa oleifera and Ocimum sanctum at 30 mg and 50 mg concentrations with the highest zone of inhibition as 16mm and 20mm, respectively.

Published by: Dr. Aruna Maramulla, Dr. Ambica Gadige, Dr. Lakshmi Kosapati, Dr. Swathi Bommu, Dr. Padmaja Katta, Anilkumar Banothu

Author: Dr. Aruna Maramulla

Paper ID: V7I5-1152

Paper Status: published

Published: September 13, 2021

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Research Paper

Recreating Solar Panels: An Integrated Approach

As solar power becomes increasingly popular as a clean and renewable energy source, there is a need to better understand the technology used to convert sunlight into electricity. Bell Labs first used the photovoltaic effect to harness the striking of photons on a solar panel to create an electrical charge. In my paper, I propose two novel methods to increase the efficiency of solar panels. The first method utilizes solar tracking and computer science to tilt solar panels to face directly toward the sun throughout the day to maximize photon strikes. The second method concentrates photons through a magnifying glass to maximize the surface area of light being focused onto the panel. Developing better approaches such as those suggested in my paper have the potential to make solar panels more efficient and affordable, thereby increasing the scope of the solar power market.

Published by: Praneel Midha

Author: Praneel Midha

Paper ID: V7I5-1181

Paper Status: published

Published: September 13, 2021

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Research Paper

A study of Machine Learning algorithms to predict liver cirrhosis and its stage

In the early stages, cirrhosis usually doesn’t cause symptoms. Only through routine blood tests or liver biopsy does a doctor diagnose damage to the liver. Using Machine learning we develop a model that can assist doctors in diagnosing the early stages of liver cirrhosis before it gets fatal. In this study, we use various machine learning algorithms to determine the liver cirrhosis stage. Data is collected from the Mayo Clinic trial, USA, in primary biliary cirrhosis (PBC) of the liver conducted between 1974 and 1984. The performance of the algorithms was evaluated using the ROC-AUC curve which is a very practical method of model evaluation for classification problems. Results showed that by applying Logistic Regression to predict the cirrhosis stage we get a ROC-AUC score of 0.74 which is considerable in view of the instance we have.

Published by: Prakash Aryan

Author: Prakash Aryan

Paper ID: V7I5-1200

Paper Status: published

Published: September 13, 2021

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Research Paper

Facial expression recognition

Facial expression is a very difficult task (FER) due to the variation of facial expression across the human population and to the context-dependent variation even for the same individual. We can see that FER  has many applications in the fields like human behavior interpretation and human-computer interface. The study of Mehrabian shows that 55% of the message is comprised of facial expression while 7% of the communication is conveyed by linguistic language whereas 38% by paralanguage during human communication. This shows that facial expression has a significant role in communication. The proposed system uses a webcam to capture our face and determine whether you were smiling or not. The system uses an OpenCV computer vision library to preprocess the webcam image, and in this system, we have used a logistic regression algorithm to train on a provided dataset and evaluate the new image.

Published by: Sakil Ansari, Rohan Raut

Author: Sakil Ansari

Paper ID: V7I5-1196

Paper Status: published

Published: September 13, 2021

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Research Paper

Green Internet of Things in smart cities

‘Change is the only constant thing in the world.” The invention of the computer resulted in wanting more better computers and greater and advanced features. The same goes on for IoT. The Internet of Things also known as IoT is the ultimate building block for smart objects. A search for better and environmentally sound function resulted in Green IoT. A Smart city comprises all the basic necessities but in a smarter version. From the bed light before sleeping to the automated alarm to wake one up. Everyone is surrounded by Smart objects. These objects have definitely made our life easier. However, a change in life may have both good and bad consequences. Despite the benefits of IoT, energy consumption is still on the rise. This problem brought the solution motivated by achieving a sustainable smart city incorporated with Green IoT. This not only saves the extra energy which it was utilized priorly by IoT but also works efficiently. The Green IoT is a new advancement in technology and this paper discusses the merits, demerits, and various recommendations.

Published by: Sakshi Sushilkumar Patel

Author: Sakshi Sushilkumar Patel

Paper ID: V7I5-1195

Paper Status: published

Published: September 13, 2021

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