scholarly journals Thermal Overload Protection and Monitoring using Programming Logic and Sensor Technology

Author(s):  
Sanna Tariq

Abstract: Transformers are the main building block in a power system. Any damages in transformers adversely affects the balance of a power system. The damages are mainly occurring due to overloading and inefficient cooling. The main objective of the project is real time monitoring of the health conditions of the distribution transformer. . The parameters such as temperature, current, voltage, oil temperature, oil height, transformer temperature etc. of a transformer are monitored, processed and recorded in the servers.. The recorded data can be send using Wi-Fi module and accessed from anywhere around the world using IOT technology using HTTP protocol. This helps in identifying without human dependency. This helps in identifying and solving a problem before a failure without human dependency. The system also includes the thermal over load and automatic shut down protection of transformer. Keywords: Realtime Monitoring, Health condition, Wi-Fi module, IOT Technology, HTTP protocol.

2018 ◽  
Vol 45 (3) ◽  
pp. 235-239
Author(s):  
Rebecca C Beirne

Over the last decade, there has been an increase in the number of televisual protagonist and major secondary characters specifically identified within the text as having a diagnosed mental illness. This is a significant development in the context of characters with a mental illness on television, who were previously usually minor and heavily stigmatised. A key trend with these new protagonists and major characters is the attribution of special talents or powers associated with mental health conditions. This paper analyses the discursive construction of this trope in five recent television series: Sherlock (UK, BBC, 2010-), Homeland (USA, Showtime, 2011-), Perception (USA, TNT, 2012–2015), Hannibal (USA, NBC, 2013–2015) and Black Box (USA, ABC, 2014). Theoretically, this paper draws on Sami Schalk’s formulation of the ‘superpowered supercrip narrative’, which refers to the ‘representation of a character who has abilities or "powers" that operate in direct relationship with or contrast to their disability'. This paper is also indebted to Davi A Johnson’s ‘Managing Mr. Monk’ (2008) for its discussion of mental illness as attaining ‘social value’ through becoming a resource with economic and ethical value, as do the conditions of the fictional characters explored in this article. Schalk’s work on disability is here expanded to a more specific discussion of mental illness on television, while Johnson’s work is updated to discuss whether the newer characterisations reflect the same rhetorical positioning as Monk (USA, USA Network, 2002–2009), one of the earliest texts celebrated for featuring a lead, sympathetic character clearly and explicitly identified with a mental health condition. Of the five lead characters examined here, three are figured as responsible for their symptoms because they have chosen not to take medication or withdraw from their medication. It is concurrently presented that if they do take medication, it dampens their abilities to perform valuable work in the community, thus removing their use value within the world of the series.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jenny A. Cresswell ◽  
Kelli D. Barbour ◽  
Doris Chou ◽  
Affette McCaw-Binns ◽  
Veronique Filippi ◽  
...  

Abstract Background The World Health Organization’s definition of maternal morbidity refers to “a negative impact on the woman’s wellbeing and/or functioning”. Many studies have documented the, mostly negative, effects of maternal ill-health on functioning. Although conceptually important, measurement of functioning remains underdeveloped, and the best way to measure functioning in pregnant and postpartum populations is unknown. Methods A cross-sectional study among women presenting for antenatal (N = 750) and postpartum (N = 740) care in Jamaica, Kenya and Malawi took place in 2015–2016. Functioning was measured through the World Health Organization Disability Assessment Schedule (WHODAS-12). Data on health conditions and socio-demographic characteristics were collected through structured interview, medical record review, and clinical examination. This paper presents descriptive data on the distribution of functioning status among pregnant and postpartum women and examines the relationship between functioning and health conditions. Results Women attending antenatal care had a lower level of functioning than those attending postpartum care. Women with a health condition or associated demographic risk factor were more likely to have a lower level of functioning than those with no health condition. However, the absolute difference in functioning scores typically remained modest. Conclusions Functioning is an important concept which integrates a woman-centered approach to examining how a health condition affects her life, and ultimately her return to functioning after delivery. However, the WHODAS-12 may not be the optimal tool for use in this population and additional components to capture pregnancy-specific issues may be needed. Challenges remain in how to integrate functioning outcomes into routine maternal healthcare at-scale and across diverse settings.


Now-a-days in-health has become the leading cause of death in worldwide. It has become very hard to find the health conditions in the patients by the medical practitioner as it needs an experience and knowledge about the disease they are dealing with. The diseases can be affected in many parts of the patient’s body. They are many kinds of places in the human body where the different kinds of health problems is affected with; some are cancer, fever, skin problems, disabilities, infections, inner body diseases, outer body diseases, etc.,. In the era of rapid revolution of Internet of Things (IoT), the sensors for monitoring the patients is every way of feeling their each module of visibility of the things which the world is affected for it and their working of the medicine is created through this development of the Internet of Things for the healthcare centers in worldwide. This paper will be explaining about the architecture for the tool used to monitor the patient’s critical levels and algorithms used for monitoring the patient’s health and resolving the problems for the problems they are suffering for. I will be also explaining the other parameters used in the monitoring of things in which shows the activities of human health condition. The algorithm is also used to predict the next symptom of the disease and know it soon by the sensor which tells a sure about the symptom which the host is been affected with and will be seen and cured with help of the cloud data in which the whole information Is been stored about the disease and cure for it which is linked to the single cloud which the information is collected and resolving the problems the problems they have been suffering for it


2021 ◽  
Author(s):  
Mohammed Safi ◽  
Ahmad M. Hemdan ◽  
Maxwell Opoku ◽  
Ashraf Mustafa

Abstract Background The outbreak of COVID-19 has had overwhelming effects on human lives, properties, and access to essential services in the society. Consequently, the manufacturing of vaccine was envisaged a milestone in effort towards ‘normalizing’ the world. With discourses around the efficacy of the vaccines, it is unclear whether having a health condition could influence once decision to accept the vaccine or encourage others to receive the vaccine. This study attempted to contribute towards this debate by assessing the impact of health status on attitude towards the COVID-19 vaccine. Methods A questionnaire, known as, the Attitude towards COVID-19 Vaccination Scale was developed to collect data from participants at school contexts. A total of 1047 participants completed questionnaire from 22 countries. The data was subjected to a two-way factorial analysis of variances. Results The result showed a direct effect of health status of individuals on attitude towards COVID-19 vaccination. It appears that healthier individuals are more willing to accept the vaccine than those who indicated they had minor or chronic health conditions. Also, individuals who were vaccinated appears to be more receptive towards the vaccine than those who were yet to receive the vaccine. Moreover, it emerged that the more the educated individuals have, the more likely they would hold favourable disposition, less hesitant and open to vaccination than those with little or no education. Conclusions The results call for more deliberate approach by countries to promote the use of the vaccines especially among those underlying health condition. Other implications of the study are discussed in more detail.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Signe Heuckendorff ◽  
Martin Nygård Johansen ◽  
Søren Paaske Johnsen ◽  
Charlotte Overgaard ◽  
Kirsten Fonager

Abstract Background Parental mental health conditions have been associated with increased morbidity and use of healthcare services in offspring. Existing studies have not examined different severities of parental mental health conditions, and the impact of paternal mental health has been overlooked. We examined the association between two severities of parental mental health conditions and use of healthcare services for children during the first year of life and explored the impact of both maternal and paternal mental health conditions. Methods This register-based cohort study included all live-born children born in Denmark from 2000 to 2016. Information on socioeconomics, diagnoses, drug prescriptions, and healthcare contacts was extracted from nationwide public registries. Parents were grouped according to severity of mental condition based on the place of treatment of the mental health condition. Negative binominal regression analyses were performed to estimate the incidence rate ratio (IRR) of contacts to general practice (GP), out-of-hour medical service, emergency room (ER), and out- and inpatient hospital contacts during the first 12 months of the child’s life. Results The analyses included 964,395 children. Twenty percent of the mothers and 12 % of the fathers were identified with mental health conditions. Paternal mental health conditions were independently associated with increased risk of infant healthcare contacts (GP IRR 1.05 (CI95% 1.04–1.06) and out-of-hour IRR 1.20 (CI95% 1.18–1.22)). Risks were higher for maternal mental health conditions (GP IRR 1.18 (CI95% 1.17–1.19) and out-of-hour IRR 1.39 (CI95% 1.37–1.41)). The risks were even higher if both parents were classified with a mental health condition (GP IRR 1.25 (CI95% 1.23–1.27) and out-of-hour contacts IRR 1.49 (CI95% 1.45–1.54)), including minor mental health condition (GP IRR 1.22 (CI95% 1.21–1.24) and out-of-hour IRR 1.37 (CI95% 1.34–1.41)). This pattern was the same for all types of healthcare contacts. Conclusions Both maternal and paternal mental health conditions, including minor mental health conditions, were associated with increased utilization of healthcare services. Focus on both parents’ mental health conditions (even if minor) may be warranted in service planning.


Author(s):  
Sarasij Das ◽  
Nagendra Rao P S

This paper is the outcome of an attempt in mining recorded power system operational data in order to get new insight to practical power system behavior. Data mining, in general, is essentially finding new relations between data sets by analyzing well known or recorded data. In this effort we make use of the recorded data of the Southern regional grid of India. Some interesting relations at the total system level between frequency, total MW/MVAr generation, and average system voltage have been obtained. The aim of this work is to highlight the potential of data mining for power system applications and also some of the concerns that need to be addressed to make such efforts more useful.


PEDIATRICS ◽  
1993 ◽  
Vol 92 (6) ◽  
pp. 876-878 ◽  
Author(s):  

Chronic health conditions affect many children and adolescents. These conditions are illnesses or impairments that are expected to last for an extended period of time and require medical attention and care that is above and beyond what would normally be expected for a child or adolescent of the same age, extensive hospitalization, or in-home health services.1 These conditions include, among others, juvenile rheumatoid arthritis, asthma, cystic fibrosis, diabetes, spina bifida, hemophilia, seizure disorders, neuromuscular disease, acquired immunodeficiency syndrome, and congenital heart diseases. Although each specific condition may be relatively or extremely rare, when they are considered together, many children and adolescents are affected. Health conditions may be characterized by their duration and their severity. Although these terms are often linked, they refer to different aspects of a health condition. A chronic condition is generally one that has lasted or is expected to last more than a defined period of time, usually 3 months or longer. Conditions vary widely in their onset, course, and duration.2 Severity refers to the impact a condition has on a child's physical, intellectual, psychological, or social functioning.3 This impact may occur as a result of persistent symptoms, required treatments, limitations of activity or mobility, or interference with school, recreation, work, and family activities. Current estimates are that between 10 and 20 million American children and adolescents have some type of chronic health condition or impairment. Most of these conditions are relatively mild and interfere little with the children's ability to participate in usual childhood activities.4 However.


2021 ◽  
Author(s):  
Mohammed Ali

BACKGROUND cardiovascular diseases (CVDs) have become prevalent in the world. They cause millions of deaths globally with the World Health Organization putting the figure at 17.9 million people every year. These statistics indicate the need for healthcare systems to leverage contemporary advanced technology to detect and diagnose CVDs and provide appropriate and timely care to reduce mortality rates. OBJECTIVE To conduct a scoping review exploring individual use of smartwatches with self-monitoring ECG functionality for diagnosing arrhythmias. METHODS Source were selected from six credible bibliographic databases: PubMed, Medline, EMBASE, PsycInfo, CINAHL, and Google Scholar. Intervention-related terms were used to identify relevant sources. Additionally, a forward search strategy was used to search the databases and identify appropriate peer-reviewed journals. RESULTS The research returned 230 sources, out of which 40 met the inclusion criterion. The studies revealed that increased research, development, and adoption of smartwatches and other wearable devices have intensified in the past two decades. The studies showed that using smartwatches can detect cardiac arrhythmias although this depends on the algorithms and biometric sensors utilized in the smartwatches. Watches with advanced algorithms, PPG, and EKG functionalities exhibit high accuracy, sensitivity, and specificity, detecting AFib and other arrhythmias with high efficacy. Therefore, the best way for technology companies to improve their watches’ accuracy is to design and use advanced algorithms and combine PPG, EKG, activity, and biochemical sensors. Conclusion: The contemporary healthcare space is replete with wearable and non-wearable ¬systems and devices central to detecting health conditions and informing the relevant stakeholders to take corrective actions. Smartwatches are wearable devices used chiefly by patients, health, and fitness enthusiasts to detect and monitor a series of conditions, such as heart rate. Their use has fostered timely detection of cardiac arrhythmias, and therefore, caregivers and policy-makers should emphasize their use. CONCLUSIONS Technological systems have proliferated many human spaces in the last three decades, including education, healthcare, and entertainment. Their use has improved operational efficiency, reduced costs, saved lives, and increased organizations’ bottom lines. Healthcare systems use technological devices and appliances to diagnose patients, perform surgeries, improve pharmacy operations, and reduce medical errors. That way, most healthcare facilities provide quality care, attaining positive clinical outcomes. The contemporary healthcare space is replete with wearable and non-wearable ¬systems and devices central to detecting health conditions and informing the relevant stakeholders – caregivers, patients, and family members – to take corrective actions. Smartwatches are wearable devices used chiefly by patients, health, and fitness enthusiasts to detect and monitor a series of conditions, such as heart rate. They are highly effective in detecting cardiac arrhythmias, and therefore, caregivers and policy-makers should emphasize their use.


2021 ◽  
pp. 140349482110454
Author(s):  
Amanda M.S. Christesen ◽  
Camilla K. Knudsen ◽  
Kirsten Fonager ◽  
Martin N. Johansen ◽  
Signe Heuckendorff

Aim: Parental mental health conditions adversely affect the children. Information on the prevalence of parental mental health conditions is needed to help policymakers allocate resources appropriately. Therefore, the aim of this study was to estimate the prevalence of children with parental mental health conditions in Denmark and further estimate the age-specific prevalence and geographical variation. Methods: In this nationwide register-based cross-sectional study, we included all children born between 2000 and 2016 if they resided in Denmark on 31 December 2016. Information on both maternal and paternal mental health conditions was retrieved from primary and secondary healthcare registers. Parental mental health conditions were categorised in three severity groups: minor, moderate, and severe. We estimated the proportion of children with parental mental health conditions on 31 December 2016. Results: Of the 1,106,459 children aged 0–16 years, 39.1% had at least one parent with a mental health condition. The prevalence increased with age of the children until the age of six years. Geographical variation in the prevalence ranged from 29.0% to 48.3% in the 98 municipalities. Minor parental mental health conditions (23.5%) were more common than moderate (13.5%) and severe parental mental health conditions (2.2%). Hospital-diagnosed parental mental health conditions were prevalent in 12.8% of the children. Conclusions: Two in five children aged 0–16 years in Denmark have parents with a mental health condition and geographical variation exists. The high prevalence of children with parental mental health conditions is an important public health challenge, which calls for attention.


2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.


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