Manuscripts

Recent Papers

Research Paper

A study to assess the anxiety related to the onset of labour and delivery among primigravida mothers admitted for delivery at Kamla Nehru hospital Shimla.

Background and Objectives: The health of the nation is often judged by the health of mothers and infants. In all societies, family is the central nucleus of people and women form the backbone of it. Thus mothers play an indispensable role in the health of any nation. Anxiety is common in life, it is more among Primigravida mothers during labour and delivery. The objectives of the study are to assess the anxiety related to the onset of labour and delivery among primigravida mothers and to determine the association between the level of anxiety with selected variables. Methods and materials : The descriptive survey approach and descriptive exploratory survey design was used. By purposive sampling technique, 100 Primigravida mothers were selected in the clean labour ward at Kamla Nehru State Hospital, Shimla. The tool consisted of 63 items to assess the level of anxiety. The reliability was established by conducting a pilot r = (0.948). The data was collected and analyzed. Results: Majority 50% of respondent are in the age group of 20-25 years and 42% of the respondent had studied upto high school which is the highest. 100% among them of respondent were married and income was between Rs. 5000 and above (63%), 99% of respondent are Hindus and emerge from nuclear family background (61%), 71% of respondent live in rural area and seek support through elders and relatives (44%), 80.5% of mothers had anxiety related to family aspects. Interpretation and Conclusion: Overall findings showed that there is no significant association found between educations, employment status, religion, type of family and type of marriage with the level of anxiety to onset of labour. The result on aspect wise reveals that the mean anxiety was higher than family aspect 80.5%, compared to physical aspect 41.47%, social aspect 33.67% and psychological aspect 45.98.

Published by: Amita Puri

Author: Amita Puri

Paper ID: V6I4-1253

Paper Status: published

Published: July 20, 2020

Full Details
Research Paper

A descriptive study to assess the general wellbeing and psychological distress of leprosy patients in selected leprosy centre at Indira Gandhi Medical College and Hospital, shimla (H.P.) India.

Background of the study: Throughout its history, leprosy has been feared and misunderstood. For long time leprosy was thought to be a hereditary disease, a curse, or a punishment from God. Before and even after the discovery of its biological cause, leprosy patients were stigmatized and shunned. For example, in Europe during the Middle Ages, leprosy sufferers had to wear special clothing, ring bells to warn others that they were close, and even walk on a particular side of the road, depending on the direction of the wind. Problem statement: A Descriptive Study to Assess the General Wellbeing & Psychological Distress of Leprosy Patients in Selected Leprosy Centre, I.G.M.C.Shimla,(H.P). Objectives: The objectives of this study were to assess the general well being of the leprosy patients, to assess the psychological distress of leprosy patients, to find the association between general well being and psychological distress with their selected demographic variables. Materials and methods: A Quantitative approach and non-experimental descriptive design was adopted to accomplish the main objectives of the study. The study was conducted in leprosy center, I.G.M.C.Shimla. The target population of the study was all leprosy patients of leprosy center, I.G.M.C.Shimla. The total sample size was 100 leprosy patients selected by convenient sampling technique, The tool was constructed to assess the general well being & psychological distress of leprosy patients. Analysis and interpretation: Most of the patients (78%) had some well-being risks. The majority of the patients (71%) had moderate psychological distress. The highest general well being was in the physical domain and the least well being was in social domain among leprosy patients. Conclusion: Type of family, duration of suffering from illness, had significant association with the general well-being and psychological distress.

Published by: Reena Dogra

Author: Reena Dogra

Paper ID: V6I4-1252

Paper Status: published

Published: July 20, 2020

Full Details
Review Paper

Experimental investigation on performance analysis of dual-axis solar tracker

This paper presents the experimental investigation on the performance of dual-axis Solar Tracker. The main objective of the project is to generate an optimal level of electrical energy through the solar panels. The solar tracker is a device that tracks the density of sun rays and ensuring that the maximum amount of sunlight strikes the panel. The power output from the solar panel is maximum when it is facing 90 degrees. The major components used for this project are Arduino, DC motor, light-dependent resistors (LDR), solar panel. The active Light Dependent Resistor (LDR) continuously monitors the sunlight and rotate the panel towards the direction where the intensity of the sunlight is maximum. These light sensors also compare the darkness and cloudy and sunny conditions assisting daily tracking. The designed tracker can track the sun’s apparent position at different months and seasons. The device is able to simulate the sun’s tracking of 12 months within a few minutes thus, implementing automatic mechanisms in the tracking system.

Published by: Ohmsakthi Vel, Santhosh, Upanraj, Mohammed Jaffar Sadiq

Author: Ohmsakthi Vel

Paper ID: V6I4-1231

Paper Status: published

Published: July 19, 2020

Full Details
Research Paper

Comparitive study on self cleaning property of Activated charcoal supported Bi2O3−ZnO with other coupled semiconductor oxide nanocomposites

The development of active semiconductor oxide nanomaterials creates a vital role in catalytic effective materials. Here we compare the self-cleaning property of Activated charcoal supported Bi2O3 – ZnO (AC−BZ) nanocomposites with other Photocatalytic nanocomposites of CdWO4 −ZnO and Pr6O11 − Zn. This study has been evaluated using contact angle measurement and our results give some new vision on the performance of coupled semiconductor oxide nanomaterials on an environmental basis.

Published by: G. Ida, D. Easwaramoorthy

Author: G. Ida

Paper ID: V6I4-1224

Paper Status: published

Published: July 19, 2020

Full Details
Research Paper

Don’t Sleep – Drowsiness Detection Tool

An important application for machine vision and image processing can be the driver's recovery program because of its high importance. In recent years a number of research works have been reported in the literature in this field. In this paper, in contrast to the conventional tone detection methods, which are based on eye regions alone, we have used facial expressions to detect drowsiness. There are many challenges that involve pull detection systems. Some of the important issues are: changes in stiffness due to lighting conditions, the presence of glasses and beards on a person's face. For this project, I propose and implement an infrared light-based hardware system and can be used to solve these problems. In the proposed method, following the acquisition step of the face, the most important face elements and considered to be the most effective, are extracted and tracked in the video sequence frames. The system is monitored and performed locally. Every year more and more people lose their lives because of fatal road accidents worldwide and hot driving is one of the leading causes of road accidents and deaths. Exhaustion and poor sleep in the most common driving sources are the cause of major accidents. However, the first signs of fatigue may appear before the emergence of a crisis and therefore, the diagnosis of driver fatigue and its identification is a topic of further research. Most traditional methods of getting sleep are based on behavioral behavior while some are less confusing and may distract motorists, while others require expensive sensors. So, in this paper, a light weight, driver-specific death detection system was developed and implemented in the Android app. The program records videos and recognizes the face of the driver in all sectors using image printing techniques. The system can detect facial expressions, including the Eye Aspect Ratio (EAR) to detect driver drowsiness based on a changing threshold. Machine learning algorithms were employed to test the performance of the proposed method.

Published by: Anjaneya Turai

Author: Anjaneya Turai

Paper ID: V6I4-1205

Paper Status: published

Published: July 19, 2020

Full Details
Review Paper

Review paper on connecting the dots using drones

From the past few years, drones have been a trending topic surrounding technology. There are many applications leading to the advancement of the drones such as aerial photography as well as videography, shipping and delivery, geographic mapping, disaster management, precision agriculture, search and rescue operations, weather forecast, wildlife monitoring, law enforcement, and many more. In a country like India, drones will play a vital role in dealing with problems from the front. A Drone with the latest technology onboard will be able to change the downgraded frame of India. Like a drone with a medical kit will give higher efficiency in reachability, remote farming will be smoothly operated using a drone, from a military point view it will be helpful in guarding the hilly posts over LOC, etc. Thus if the future technology implemented as soon as possible in India it will provide huge latency.

Published by: Shritish Shete, Siddhi Dave

Author: Shritish Shete

Paper ID: V6I4-1194

Paper Status: published

Published: July 19, 2020

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X