Lung cancer detection using Convolutional Neural Network (CNN)
Lung cancer is a dangerous disease that taking human life rapidly worldwide. The death of the people is increasing exponentially because of lung cancer. In order to reduce the disease and save a human's life, the automated system is needed. The purpose of the lung cancer detection system is able to detect and provide reliable information to doctors and clinicians from the medical image. To minimize this problem, many systems have been proposed by using different image processing techniques, machine learning, and deep learning techniques. A computed tomography (CT) imaging modality is an efficient technique for medical screening used for lung cancer detection and diagnosis. Physician and radiologist use the CT scan images to analyze, interpret and diagnose the lung cancer from lung tissues. However, in most cases, obtaining an accurate diagnosis result without using the extra medical tool known as a computer- Aid detection and Diagnosis (CAD) system is tedious work for many physicians. To obtain an accurate result from computer-aided diagnosis system lung segmentation methods are basic once. So in this project, we have used different lung segmentation and nodules segmentation methods. Our work has consisted of preprocessing, and lung segmentation by using thresholding, and also used the U-net model for detection of the candidate nodules of the patient’s lung CT scan and classification methodology. We are used a convolutional neural network and designed a 3D CNN model that has 0.77% accuracy performance.
Published by: Endalew Simie, Mandeep Kaur
Author: Endalew Simie
Paper ID: V5I4-1251
Paper Status: published
Published: July 27, 2019
A descriptive study to assess the knowledge regarding health-related safety precaution to be followed by senior citizens residing in Abdullapur Maffi, Bareilly, U.P. with a view to develop an information pamphlet
To assess the knowledge of senior citizens regarding Health-related safety precaution in home. To find out the association between level of knowledge of senior citizen regarding safety precaution in home with their demographic variables. To prepare and distribute information education pamphlet among the senior citizens. The nature of the study was descriptive. This study was conducted at Abdullapur Maffi, Bareilly, U.P the research design is used for the research was descriptive. The conceptual frame work used for the study is based on the system model. The data was collected to assess the level of knowledge regarding health-related safety precaution to be followed by senior citizen. The data was collected and where analyzed and interpreted by using descriptive and inferential statistics the findings where. The major findings of the study revealed that the knowledge score study was 32% of the people had adequate knowledge score (21-30), 54% of the old people had moderate knowledge score (11-20) and 14% had inadequate knowledge score (below 10). The study proved that their was no significant association between knowledge of senior citizen about safety precaution and the demographic variables i.e. Age, Sex, Religion, Education, No. of family member, Type of house, Type of Family, Occupation, Marital status and Monthly Income. Previous knowledge regarding the health-related safety precaution but there is significant association between knowledge of senior citizen and their demographic variables. Hence the research hypothesis was accepted. The significant difference (P) is found between level of knowledge and demographic variables. On the basis of finding of the study obtain following conclusion where drawn. It can be concluded that in senior citizen knowledge score was less regarding health-related safety precaution and be provide an information pamphlet to improve the knowledge regarding health-related safety precaution to be followed by in senior citizen.
Published by: Taj Mohammed, Midhun Ashok
Author: Taj Mohammed
Paper ID: V5I4-1268
Paper Status: published
Published: July 27, 2019
A study to assess the knowledge of mothers of under-five children regarding protein-energy malnutrition in selected area of Gwalior with a view to develop health education module
A descriptive survey was carried out to assess the knowledge of mothers of under-five children regarding Protein-Energy Malnutrition in selected urban areas of Gwalior. The study was conducted by Mr. Midhun Ashok, II year M.Sc. (N) the student in Gwalior Nursing College, Gwalior in partial fulfillment of the requirement for the Master of Science in Nursing of Jiwaji University of Health Sciences, Gwalior. The Objectives of the study To access the knowledge of mothers of under-five children on Protein-Energy Malnutrition. To identify the relationship between the knowledge of mothers of under-five children with selected Socio-demographic variables. To develop the Health education module. Methodology The study was based on Rosenstock’s and Becker’s health behaviour model. The data was collected by a descriptive method, 150 mothers were selected from the urban slum area by a simple random sampling technique. Data was collected using a structured interview schedule for a period of 4 weeks. Both descriptive and inferential statistics were used for data analysis. Major findings of the study The majority of the mothers (38%) were belonging to the age group of 26-30 years. Eighty-four percent of mothers were illiterates. Eighty-four percent of mothers were coolies. The majority of the mothers were House-wives (35.33%) The majority of the mothers had a monthly family income of Rs. 3001-5000/- (37.33%). Nearly half of the mothers (42%) had the family size as six and above. The mean overall knowledge score of mothers regarding Protein Energy Malnutrition was 12.91 and S.D.=3.11. Hundred and two mothers (68%) had a low knowledge score and 48 mothers (32%) had average knowledge. The X2 value showed that there was a significant relationship between the knowledge of mothers with their education and family monthly income, and hence the research hypothesis H2 and H4 were accepted. The insignificant relationship was found between the knowledge of mothers with their age, occupation and size of the family. The related research hypothesis H1, H3and H5were rejected. The study findings revealed that the majority of mothers were illiterates. Hence there is a need to educate the mothers regarding correct feeding practices and that helps in preventing Protein Energy Malnutrition. Background of the study India's children still languish in malnutrition in spite of a lot of progress in terms of food production, procurement, and food security. One of the most dominant problems declining the quality of life of most Indian citizens is malnutrition. Protein-Energy Malnutrition has been identified as major public health and nutritional problem in India. It not only leads to childhood morbidity and mortality but also leads to impairment of physical and possibly of mental growth of those who survive. Protein-Energy Malnutrition is a global problem. Nearly 150 million children under 5 years in the world and 70 - 80 million in India suffer from protein-energy malnutrition, nearly 20 million in the world and 4 million suffer from severe forms of Protein-Energy Malnutrition like Kwashiorkor and marasmasMalnutrition begets infection and infection begets malnutrition, both are common among poor children, Protein-Energy Malnutrition is found to account for about four million deaths in children. It is still the first killer disease 54 percent, followed by acute respiratory infection 20 percent and diarrhea 18 percent from the global perspective. Studies have pointed out the significant role of women's education in infant and child mortality, widespread women's education is an important determinant factor in unusually low mortality and yet low-income regions and it has been noted that similar set of relationship has been noted with regard to women's education and child's nutritional status. Special efforts have to b made to reach mother's, since they are the most unreached at present.
Published by: Midhun Ashok, Taj Mohammad
Author: Midhun Ashok
Paper ID: V5I4-1263
Paper Status: published
Published: July 26, 2019
Influence of water on Odonates in the paddy fields of Kannur district, Kerala
Three Rice fields in Kannur district were selected for the Odonate study. They were (1) Okra Vayal at Cheruthazham (FWPF), (2) Mundapuram Vayal at Cherukunnu (CPF), and (3) Haritha Sangam Paddy field at Madayippara (MLHPF).
Published by: Prabhakaran PV., Dr. Aravindan Tharemmal
Author: Prabhakaran PV.
Paper ID: V5I4-1247
Paper Status: published
Published: July 26, 2019
Assessment of risks in cloud computing
In the simplest term cloud computing means storing and accessing data over the internet instead of using the computer’s hardware. Cloud computing is a type of internet-based computing which provide us shared processing resources and data to the system and other devices according to the demand of the user. Cloud computing can be used everywhere in today’s life. Cloud computing security is broad research with various concerns, starting from protecting the hardware and platform technologies to protecting clouds data and resource access (through different end-user devices). Although there are n numbers of advantages of using cloud computing and all of them are tremendous, but the security and privacy concern of cloud computing has always been the main concern of numerous cloud customers and an impediment to its widespread adaptation by business and organization. The paper presents a review in the field of cloud computing with a focus on risk assessment.
Published by: Swati Singh
Author: Swati Singh
Paper ID: V5I4-1259
Paper Status: published
Published: July 26, 2019
A study on welfare policies of Amara Raja Power System Limited: A case study in Tirupati
I conducted a Survey Method through Structured Questionnaires in the Employees of ARPSL Tirupati. The convenience sampling procedure is used for the data collection, sampling size is116 through Personal Interview and Percentage analysis and Chi-square tests are used. Finally, in this paper, I found the result that the Majority of the respondents said that Medical and First aid facilities provided by the Company are Excellent. Canteen facilities are good because the cleanliness maintained, proper storage of raw materials, food served is nutritious quality and quantity of food served is good. Working conditions of the company in respect to Ventilation, Lighting, Temperature, Seating arrangements, cleanliness inside working premises are very good. Employee satisfaction levels on Social security benefits like PF, ESI, Gratuity, SAS and Benevolent Fund schemes provided by the company is good. Transport facilities, Bachelor Hostel facilities, Family quarter’s facilities, Recreation facilities provided by the company are good.
Published by: B. R. Tejesh Reddy, Dr. D. Yuvaraju
Author: B. R. Tejesh Reddy
Paper ID: V5I4-1242
Paper Status: published
Published: July 26, 2019
