scholarly journals PSIII-6 Analysis of vocal sounds for detecting abnormal symptoms in sows

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 189-190
Author(s):  
Donghoon Lee ◽  
Kwongoo Bum ◽  
Sang-Hyon Oh
Keyword(s):  
Fixed Effects ◽  
Animal Health ◽  
Health Assessment ◽  
Strong Relationship ◽  
Acoustic Vibration ◽  
Assessment Method ◽  
Health Condition ◽  
Fast Transform ◽  
Health Assessments ◽  
Integrated Processing

Abstract Various technologies for animal health have been introduced and used in the livestock field as a part of an integrated processing methodology to construct a successful smart farm. This study aims to present a health assessment method applied to an individual pig using acoustic vibration. The experiment was based on the hypothesis that there is a strong relationship between acoustic phenotype and health condition. The information from a normal and abnormal sow was simultaneously and continuously recorded using a sound recorder for 24 hours. The abnormal sow was given an injection of 70% dextrose to the knee, which experienced necrosis due to a subsequent osmotic phenomenon. The experiment began at 9 am and continued until 8 am the next day and was repeated twice. During the experiment, the high-resolution recorder was located 50 cm from the top of the farrowing crate and directed at the sow’s head to reduce interferences from other sources of sound and noise. The first step of analysis was denoising the recorded acoustic information. Then, the Fourier fast transform was applied to the preprocessed data. Data were analyzed with PROC GLM (SAS 9.3), where a trial and treatment were included as fixed effects. The magnitude of frequency between normal and abnormal sows was significantly different (P < 0.05), in which the range of magnitude value was higher and lower than 0.015 for the normal and abnormal sow, respectively. The range 0.015 to 0.020 for the normal sow was clearly discriminated from the range 0.010 to 0.015 for the abnormal one. A more accurate interpretation of sows’ vocal data depends on the quality and quantity of data regarding their health condition. A promising algorithm of processing acoustic phenotype related to bio information could be useful in numerous complex health assessments.

scholarly journals Classification of Body Constitution Based on TCM Philosophy and Deep Learning

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 803 ◽  
Author(s):  
Yung-Hui Li ◽  
Muhammad Saqlain Aslam ◽  
Kai-Lin Yang ◽  
Chung-An Kao ◽  
Shin-You Teng
Keyword(s):  
Deep Learning ◽  
Health Assessment ◽  
Assessment Method ◽  
Health Condition ◽  
The Body ◽  
Convolutional Network ◽  
Non Invasive ◽  
Body Constitution ◽  
Perfect Symmetry ◽  
Psychological Strength

There is a growing demand for alternative or complementary medicine in health care disciplines that uses a non-invasive instrument to evaluate the health status of various organs inside the human body. In this regard, we proposed a real-time, non-invasive, and painless technique to assess an individual’s health condition. Our approach is based on the combination of iridology and the philosophy of traditional Chinese medicine (TCM). The iridology chart presents perfect symmetry between the left and right eyes, and such a unique representation reveals the body constitution based on TCM philosophy, which classifies the aforementioned body constitution into a combination of nine categories to describe the varieties of genomic traits. In addition, we applied a deep-learning method along with the combination of iridology and TCM to predict the possible physiological or psychological strength or weakness of the subjects and give advice to them about how to take care of their health according to the body constitution assessment. We used several pre-trained convolutional neural networks (CNNs, or ConvNet), such as a residual neural network (ResNet50), InceptionV3, and dense convolutional network (DenseNet201), to classify the body constitution using iris images. In the experiments, the CASIA-Iris-Thousand database was used to perform this task. The experimental results showed that the proposed iris-based health assessment method achieved an 82.9% accuracy.

scholarly journals Comparing methods for assessing the health of regeneration in Scots pine culture

2020 ◽  
Vol 81 (2) ◽  
pp. 51-64
Author(s):  
Zbigniew Sierota ◽  
Monika Małecka ◽  
Marta Damszel
Keyword(s):  
Scots Pine ◽  
Fungal Pathogen ◽  
Abiotic Factors ◽  
Health Assessment ◽  
Assessment Method ◽  
Health Condition ◽  
Monitoring Method ◽  
Surface Method ◽  
Reliable Assessment ◽  
Field Assessment

Abstract This study’s aim was to describe the health condition of Scots pine cultures of up to 10 years old using and comparing various field assessment methods. Since forest districts report on the health of stands annually, we assumed that for a proper health analysis it is necessary to develop a simple and yet reliable assessment method that allows for determining the share of fungal pathogen infection in the stand (both foliar and root pathogens) and their differentiation from symptoms of abiotic factors such as drought. Six different methods of health assessment were tested in selected Forest Districts across Poland. We found that the most reliable assessment of the health condition of young stands is obtained with the surface method ‘MF’ (phytopathological monitoring method) and the linear ‘Z’ method, which uses transects of 30 meters in three rows in the shape of the letter Z.

scholarly journals Study on Health Assessment Method of a Braking System of a Mine Hoist

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 769 ◽  
Author(s):  
Juanjuan Li ◽  
Guoying Meng ◽  
Guangming Xie ◽  
Aiming Wang ◽  
Jun Ding ◽  
...  
Keyword(s):  
Neural Network ◽  
Health Management ◽  
Back Propagation ◽  
Health Assessment ◽  
Assessment Method ◽  
Health Condition ◽  
Comprehensive Assessment ◽  
Fuzzy Comprehensive Assessment ◽  
Braking System ◽  
Mine Hoist

This paper presents a method for calculating the health degree (HD) of a braking system of a mine hoist combined with three-level fuzzy comprehensive assessment (TLFCA) and a back-propagation neural network (BPNN). Firstly, the monitored values of a sensor are fused by multi-time fusion and the fuzzy comprehensive assessment values (FCAVs) of the health condition (HC) of the sensor are obtained. Secondly, the FCAVs of all sensors in a subsystem are fused by multi-sensor fusion, and FCAVs of the subsystem are obtained. Then the FCAVs of all subsystems are fused by multi-subsystem fusion and FCAVs of the system are obtained. All the FCAVs are fed into a pre-trained neural network, and the corresponding HD of the sensor, subsystem and system is obtained. Finally, the practicability, reliability and sensitivity of the proposed method are verified by the monitored values of the test rig. This paper presents a method to provide technical support for intelligent maintenance, and also provides necessary data for further prognostics health management (PHM) of the braking system. The method presented in this paper can also be used as a reference for the HD calculation of the whole hoist and other complicated equipment.

Listen2Cough

2021 ◽  
Vol 5 (1) ◽  
pp. 1-22
Author(s):  
Xuhai Xu ◽  
Ebrahim Nemati ◽  
Korosh Vatanparvar ◽  
Viswam Nathan ◽  
Tousif Ahmed ◽  
...  
Keyword(s):  
Health Assessment ◽  
Ground Truth ◽  
Health Condition ◽  
Fine Tuning ◽  
Detection Model ◽  
Assessment Tasks ◽  
Augmentation Techniques ◽  
In The Wild ◽  
The Rich ◽  
Lung Health

The prevalence of ubiquitous computing enables new opportunities for lung health monitoring and assessment. In the past few years, there have been extensive studies on cough detection using passively sensed audio signals. However, the generalizability of a cough detection model when applied to external datasets, especially in real-world implementation, is questionable and not explored adequately. Beyond detecting coughs, researchers have looked into how cough sounds can be used in assessing lung health. However, due to the challenges in collecting both cough sounds and lung health condition ground truth, previous studies have been hindered by the limited datasets. In this paper, we propose Listen2Cough to address these gaps. We first build an end-to-end deep learning architecture using public cough sound datasets to detect coughs within raw audio recordings. We employ a pre-trained MobileNet and integrate a number of augmentation techniques to improve the generalizability of our model. Without additional fine-tuning, our model is able to achieve an F1 score of 0.948 when tested against a new clean dataset, and 0.884 on another in-the-wild noisy dataset, leading to an advantage of 5.8% and 8.4% on average over the best baseline model, respectively. Then, to mitigate the issue of limited lung health data, we propose to transform the cough detection task to lung health assessment tasks so that the rich cough data can be leveraged. Our hypothesis is that these tasks extract and utilize similar effective representation from cough sounds. We embed the cough detection model into a multi-instance learning framework with the attention mechanism and further tune the model for lung health assessment tasks. Our final model achieves an F1-score of 0.912 on healthy v.s. unhealthy, 0.870 on obstructive v.s. non-obstructive, and 0.813 on COPD v.s. asthma classification, outperforming the baseline by 10.7%, 6.3%, and 3.7%, respectively. Moreover, the weight value in the attention layer can be used to identify important coughs highly correlated with lung health, which can potentially provide interpretability for expert diagnosis in the future.

Integrity Assessment of Non-Piggable Pipeline Through Direct Assessment

2013 ◽  
Author(s):  
Jai Prakash Sah ◽  
Mohammad Tanweer Akhter
Keyword(s):  
Hydrostatic Pressure ◽  
Natural Gas ◽  
Stress Corrosion ◽  
Health Assessment ◽  
Assessment Method ◽  
Pipeline System ◽  
Internal Corrosion ◽  
Integrity Assessment ◽  
Direct Assessment ◽  
External Corrosion

Managing the integrity of pipeline system is the primary goal of every pipeline operator. To ensure the integrity of pipeline system, its health assessment is very important and critical for ensuring safety of environment, human resources and its assets. In long term, managing pipeline integrity is an investment to asset protection which ultimately results in cost saving. Typically, the health assessment to managing the integrity of pipeline system is a function of operational experience and corporate philosophy. There is no single approach that can provide the best solution for all pipeline system. Only a comprehensive, systematic and integrated integrity management program provides the means to improve the safety of pipeline systems. Such programme provides the information for an operator to effectively allocate resources for appropriate prevention, detection and mitigation activities that will result in improved safety and a reduction in the number of incidents. Presently GAIL (INDIA) LTD. is operating & maintaining approximately 10,000Kms of natural gas/RLNG/LPG pipeline and HVJ Pipeline is the largest pipeline network of India which transports more than 50% of total gas being consumed in this country. HVJ pipeline system consists of more than 4500 Kms of pipeline having diameter range from 04” to 48”, which consist of piggable as well as non-piggable pipeline. Though, lengthwise non-piggable pipeline is very less but their importance cannot be ignored in to the totality because of their critical nature. Typically, pipeline with small length & connected to dispatch terminal are non-piggable and these pipelines are used to feed the gas to the consumer. Today pipeline industries are having three different types of inspection techniques available for inspection of the pipeline. 1. Inline inspection 2. Hydrostatic pressure testing 3. Direct assessment (DA) Inline inspection is possible only for piggable pipeline i.e. pipeline with facilities of pig launching & receiving and hydrostatic pressure testing is not possible for the pipeline under continuous operation. Thus we are left with direct assessment method to assess health of the non-piggable pipelines. Basically, direct assessment is a structured multi-step evaluation method to examine and identify the potential problem areas relating to internal corrosion, external corrosion, and stress corrosion cracking using ICDA (Internal Corrosion Direct Assessment), ECDA (External Corrosion Direct Assessment) and SCCDA (Stress Corrosion Direct Assessment). All the above DA is four steps iterative method & consist of following steps; a. Pre assessment b. Indirect assessment c. Direct assessment d. Post assessment Considering the importance of non-piggable pipeline, integrity assessment of following non piggable pipeline has done through direct assessment method. 1. 30 inch dia pipeline of length 0.6 km and handling 18.4 MMSCMD of natural gas 2. 18 inch dia pipeline of length 3.65 km and handling 4.0 MMSCMD of natural gas 3. 12 inch dia pipeline of length 2.08 km and handling 3.4 MMSCMD of natural gas In addition to ICDA, ECDA & SCCDA, Long Range Ultrasonic Thickness (LRUT-a guided wave technology) has also been carried out to detect the metal loss at excavated locations observed by ICDA & ECDA. Direct assessment survey for above pipelines has been conducted and based on the survey; high consequence areas have been identified. All the high consequence area has been excavated and inspected. No appreciable corrosion and thickness loss have observed at any area. However, pipeline segments have been identified which are most vulnerable and may have corrosion in future.

Influence of exercise and fasting on blood parameters in juvenile green turtles (Chelonia mydas): implications for health assessments

2020 ◽  
pp. 1-8
Author(s):  
D. March ◽  
E. Ariel ◽  
D. Blyde ◽  
L. Christidis ◽  
B.P. Kelaher
Keyword(s):  
Biochemical Parameters ◽  
Health Assessment ◽  
Chelonia Mydas ◽  
Blood Parameters ◽  
Fasting State ◽  
Intense Exercise ◽  
Post Exercise ◽  
Green Turtles ◽  
Health Assessments ◽  
Lactate Levels

This study investigated the influence of exercise and fasting state on haematologic and biochemical parameters in juvenile green turtles (Chelonia mydas). Animals were divided into two groups; one group was fasted for 72 h and one group was fed 1 h prior to exercise. Exercise was induced by repeated righting reflexes and blood values were measured prior to and post-exercise. Prior to exercise, fasted animals showed significantly decreased levels of urea, pH, PVCO2 and HCO3- and significant increases in Cl- and PVO2, compared to fed animals and fasted animals had significantly poorer exercise performance. Following exercise both fasted and fed animals had significant increases in Na+, K+, Cl-, PVCO2, PVO2, urea and lactate and significant decreases in pH and HCO3-. The magnitude of increase in lactate levels was significantly less in fasted animals. Prior to exercise, a significant correlation was calculated in fasted animals between pH and HCO3-. Following exercise, significant correlations were calculated in fed animals between pH and HCO3-, PVCO2 and lactate, and between pH and HCO3- in fasted animals. These results show that analytical method, fasting state and the physiologic changes induced during the intense exercise can affect haematologic and biochemical analytes and these factors should be considered when interpreting results from health assessment of wild animals.

Assessment of Current Health of Hard Disk Drives

2010 ◽  
Author(s):  
Abe Zeid ◽  
Sagar Kamarthi
Keyword(s):  
Health Management ◽  
State Of The Art ◽  
Hard Disk Drives ◽  
Health Assessment ◽  
Hard Disk ◽  
Assessment Method ◽  
Hard Disks ◽  
Disk Drives ◽  
Future Directions ◽  
Self Monitoring

Prognostics and health management of computer hard disk drives is beneficial from two different angles: it can help computer users plan for timely replacement of HDDs before they catastrophically fail and cause serious data loss; it can also help product recover facilities reuse hard disks recovered from the end-of-life computers for building refurbished computers. This paper presents a HDD health assessment method using Self-Monitoring, Analysis, and Reporting Technology (SMART) attributes. It also presents the state-of-the art results in monitoring the condition of hard disks and offers future directions for distributed hard disk monitoring.

scholarly journals Health state of the citizens of Nothern Kosovska Mitrovica

2010 ◽  
Vol 138 (11-12) ◽  
pp. 746-751
Author(s):  
Momcilo Mirkovic ◽  
Snezana Simic ◽  
Jelena Marinkovic ◽  
Sladjana Djuric
Keyword(s):  
Health Survey ◽  
Health Assessment ◽  
Population Level ◽  
Cross Sectional Study ◽  
Health Condition ◽  
Health State ◽  
Cross Sectional ◽  
Significance Level ◽  
Self Rated Health ◽  
Significant Difference

Introduction. For health assessment, beside the data of routine health statistics, it is necessary to include and data obtained by a health survey of the citizens. Objective. The aim of this study was to establish how northern Kosovska Mitrovica adults assess their health and which diseases are most common among the population, as well as to investigate differences in relation to demographic and socioeconomic characteristics, the characteristics of social interaction and health behavior and habits. Methods. The research was conducted as a cross-sectional study conducted on the representative sample of adult citizens in northern Kosovska Mitrovica in 2006. Two hundred-eighteen respondents were included in the survey. In the research we used a questionnaire identical to the Health Survey conducted in Serbia in 2006. The significance of differences in responses about self-rated health and chronic diseases in relation to the characteristics of respondents? responses were determined by X2-test with the significance level of 0.05. Results. Over half of the respondents (54.7%) assessed their health condition as good or very good. There was a significant difference in self-rated health in relation to the respondents? age (?2=202.036; p=0.000), education (?2=72.412; p=0.000), social support (?2=12.416; p=0.015), smoking (?2=11.675; p=0.020) and physical activity (?2=61.842; p=0.000). The leading health problems among the respondents were high blood pressure, rheumatologic diseases of joints, ulcer of the duodenal or gastric ulcer, gall bladder disease and high blood fat. Conclusion. Adult residents of northern Kosovska Mitrovica assessed their health as better than the residents of Serbia without Kosovo and Metohia. The diseases in which stress plays the major role among etiological factors are in the leading position. The obtained data on the population level of specific areas represent the basis in the planning of health education and health promotion activities.

scholarly journals Media Exposure as Predictor of Childhood Obesity in Children Aged 7-12 Years in Gurgaon

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Kavita Bhatnagar ◽  
Dr. Roopali Sharma
Keyword(s):  
Childhood Obesity ◽  
Computer Games ◽  
Fast Food ◽  
Early Stage ◽  
Media Exposure ◽  
Strong Relationship ◽  
Health Condition ◽  
Normal Weight ◽  
Number Of Children ◽  
Obesity And Overweight

Childhood obesity is a serious health condition, where kids weigh above the normal weight for their age. This sets an early stage for diseases like diabetes, high blood pressure, cholesterol and various other ailments that are actually related to adulthood. While the problem is global, it is relatively newer in Indian population but unfortunately; it is growing at a rapid rate. Increased consumption of fast food, sugar laden fizzy drinks, lack of physical activity and largely sedentary lifestyle comprising of watching television, playing video or computer games, playing on mobile phones and tablets due to the changing urban lifestyle are the major causes of childhood obesity.200 children aged 7-12 years attending a Public School in Gurgaon, participated in the study. Weight and height were measured and the BMI was calculated. Media exposure was assessed by a questionnaire designed especially for the study. Among all participants, a large number of children were found to be obese and overweight. Prevalence of obesity and overweight was higher in boys than girls. A large number of children had a screen time of more than five hours per day and several watched Television while eating, many children had TV in their bed rooms, most had Internet access and nearly everyone played video games daily. Easy accessibility of TV, smart phones and Internet has a strong relationship with childhood obesity and overweight.

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