scholarly journals Detection of pig based on improved RESNET model in natural scene

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Weixian Song ◽  
Junlong Fang ◽  
Runtao Wang ◽  
Kezhu Tan ◽  
Marwan Aouad
Keyword(s):  
Visual Inspection ◽  
Natural Scene ◽  
Number Of Layers ◽  
Different Types ◽  
Convolution Kernels ◽  
Testing Accuracy ◽  
Varying Environments ◽  
Improved Model ◽  
Breeding Farms ◽  
Feature Expression

Abstract The behaviours of the pig are often closely related to their health. Pig recognition is very important for pig behaviour analysis and digital breeding. Currently, the early signs and abnormal behaviours of sick pigs in breeding farms are mainly completed by human observation. However, visual inspection is labour intensive and time-consuming, and it suffers from the problems of individual experiences and varying environments. An improved ResNet model was proposed and applied to detect individual pigs in this study based on deep learning knowledge. The developed model captured the features of pigs applying across layer connections, and the ability of feature expression was improved by adding a new residual module. The number of layers was reduced to minimise the net complexity. Generally, the ResNet frame was developed by reducing the number of convolution layers, constructing different types of the residual module and adding the number of convolution kernels. The training accuracy and testing accuracy reached 98.2% and 96.4%, respectively, when using the improved model. The experiment results showed that the method proposed in this paper for checking living situations and disease prevention of commercial pigs in pig farms is potential.

Feature Vector Identification and Prognostics of SAC305 PCB’s for Varying Conditions of Temperature and Vibration Loads

2020 ◽  
Author(s):  
Pradeep Lall ◽  
Tony Thomas ◽  
Ken Blecker
Keyword(s):  
Feature Vector ◽  
Sac305 Solder ◽  
Feature Vectors ◽  
Operating Environments ◽  
Electronic Board ◽  
Different Types ◽  
Varying Environments ◽  
Temperature Constant ◽  
Temperature Levels ◽  
Strain Signal

Abstract This study focuses on the feature vector identification of SAC305 solder alloy PCB’s of two different configurations during varying conditions of temperature and vibration. The feature vectors are identified from the strain signals, that are acquired from four symmetrical locations of the PCB at regular intervals during vibration. The changes in the vibration characteristics of the PCB are characterized by three different types of experiments. First type of analysis emphasizes the vibration characteristic for varying conditions of acceleration levels keeping the temperature constant during vibration. The second analysis studies the characteristics changes for varying temperature levels by keeping the acceleration levels constant. Finally, the third analysis focuses on the combined changes in temperature and acceleration levels for the board during vibration. The above analyses try to imitate the actual working conditions of an electronic board in an automobile which is subjected to varying environments of temperature and vibration. The strain signals acquired during each of these experiments are compared based on both time and frequency domain characteristics. Different statistical and frequency based techniques were used to identify the variations in the strain signal with changes in the environment and loading conditions. The feature vectors of failure at a constant working condition and load were identified and as an extension to the previous work, the effectiveness of the feature vectors during these varying conditions of temperature and acceleration levels are investigated using the above analyses. The feature vector of a PCB under varying conditions of temperature and load are identified and compared with different operating environments.

AN IMPROVED CLUSTER DYNAMICS MODEL FOR HYDROGEN RETENTION IN TUNGSTEN

2012 ◽  
Vol 23 (06) ◽  
pp. 1250042 ◽  
Author(s):  
R. H. NING ◽  
Y. G. LI ◽  
W. H. ZHOU ◽  
Z. ZENG ◽  
X. JU
Keyword(s):  
Depth Distribution ◽  
Hydrogen Ions ◽  
Dynamics Model ◽  
Different Types ◽  
Hydrogen Retention ◽  
Plasma Facing Materials ◽  
Improved Model ◽  
Radiation Conditions ◽  
Reaction Processes ◽  
Better Than

An improved cluster dynamics model has been developed for studying the behaviors of hydrogen retention in tungsten under hydrogen ions irradiation. In addition to different types of objects, adopting up-to-date parameters and complex reaction processes, we newly introduce ion-induced and natural defects into our model. This improved model programmed in IRadMat2 could describe very well the depth distributions and the amounts of hydrogen retained in tungsten under different radiation conditions. The calculated results agree with the experimental ones much better than the previous model, especially for the depth-distribution of D retained in W, which imply that this model is applicable to the evolution of defects especially for low energy high flux ions irradiated on plasma-facing materials.

scholarly journals Regeneration of the damage periderm of potato tuber as a result of the temperature of curing

2020 ◽  
Vol 9 (9) ◽  
pp. e106996700
Author(s):  
Ariana Mota Pereira ◽  
Edgard Augusto de Toledo Picoli ◽  
Mateus de Paula Gomes ◽  
Kharen Priscilla de Oliveira Salomão Petrucci ◽  
Aline da Silva Bhering ◽  
...  
Keyword(s):  
Mechanical Damage ◽  
Curing Temperature ◽  
Cell Regeneration ◽  
Regeneration Capacity ◽  
Potato Tubers ◽  
Post Harvest ◽  
No Formation ◽  
Number Of Layers ◽  
Different Types ◽  
Curing Procedure

It is acknowledged that mechanical damage is a major cause of post-harvest losses of potato tubers and the curing is an indispensable process to increase resistance to excoriation. Furthermore, the use of lower curing temperatures is required to maintain the quality and prolong the durability of the tubers. However, they may not allow adequate regeneration of the damage periderm, besides this effect being variable among genotypes. The present study evaluates histological outcomes in the periderm derived from the mechanical damage through a simulation of excoriation, as it is the most common during the harvest and post-harvest stages. Therefore, the objective of this study was to determine the effect of reducing the curing temperature on the number of layers and on the thickness of the damage periderm of potato tubers of cv. Innovator. Histometric analysis of the cork, phellogen, phelloderm and the total periderm of tuber, was performed using the Image-Pro Plus software (MediaCybernetics) after curing for 15 days. The number of layers and thickness of each periderm structural layers were determined from six measurements for each repetition. After curing, there was no formation of the cork and phelloderm in the tubers conducted at 8 ° C under the excoriation treatment, while all components of the periderm were formed at 14 and 20 °C. At 8 and 14 °C, the phellogen differentiated similarly in tubers conducted at control and mechanical damage treatments, while at 20 °C the thickness did not differ in any component of the periderm. The phellogen at 14 and 20 °C did not differ in the number of layers and thickness. The visual aspect of the tuber injuries at 14 and 20 °C emphasizing the regeneration. It is concluded that the reduction of the curing temperature to 8 °C provided slower cell regeneration. However, it is possible to conduct the curing procedure at 14 °C, without compromising the formation of the damage periderm. The cultivar Innovator has rapid cell regeneration at higher curing temperatures, therefore it is recommended that the tubers of this cultivar be cured at 14 or 20 ° C. The study evaluates the mechanical damage through a simulation of the damage by excoriation. The however, for a better understanding of the formation of the damage periderm, it is interesting that other studies evaluate different types of damage, such as impact, comprehension and abrasion, in order to assess the regeneration capacity according to the damage of this cultivar.

scholarly journals Deep Learning based Arrhythmia Classification with an ECG Acquisition System

2019 ◽  
Vol 9 (2) ◽  
pp. 3849-3852
Keyword(s):  
Deep Learning ◽  
Premature Ventricular Contraction ◽  
Detection Algorithm ◽  
Raspberry Pi ◽  
Data Set ◽  
Bundle Branch Block ◽  
Ecg Signals ◽  
Peak Detection Algorithm ◽  
Different Types ◽  
Testing Accuracy

One of the issues that the human body faces is arrhythmia, a condition where the human heartbeat is either irregular, too slow or too fast. One of the ways to diagnose arrhythmia is by using ECG signals, the best diagnostic tool for detection of arrhythmia. This paper describes a deep learning approach to check whether signs of arrhythmia, in a given input signal, are present or not. A batch normalized CNN is used to classify the ECG signals based on the different types of arrhythmia. The model has achieved 96.39% training accuracy and 97% testing accuracy. The ECG signals are classified into five classes namely: Normal beats, Premature Ventricular Contraction (PVC) beats, Right Bundle Branch Block (RBBB) beats, Left Bundle Branch Block (LBBB) beats and Paced beats. A peak detection algorithm with six simple steps is designed to detect R-peaks from the ECG signals. A hardware device is built using Raspberry Pi to acquire ECG signals, which are then sent to the trained CNN for classification. The data-set for training is obtained from the MIT-BIH repository. Keras and Tensorflow libraries are used to design and develop the CNN and an application is designed using ’MEAN’ stack and ’Flask’ based servers.

Scene Classification Based on Improved Spatial Partition Model

2014 ◽  
Vol 527 ◽  
pp. 339-342
Author(s):  
Zhi Yuan Liu ◽  
Jin He ◽  
Jin Long Wang ◽  
Fei Zhao
Keyword(s):  
Spatial Information ◽  
Classification Performance ◽  
Image Features ◽  
Natural Scene ◽  
Scene Classification ◽  
Partition Model ◽  
Spatial Partition ◽  
Improved Model ◽  
Local Image

In order to make full use of the spatial information of images in the classification of natural scene, we use the spatial partition model. But mechanically space division caused the abuse of spatial information. So spatial partition model must be properly improved to make the different categories of images were more diversity, so that the classification performance is improved. In addition, to further improve the performance, we use FAN-SIFT as local image features. Experiments made on 8 scenes image dataset and Caltech101 dataset show that the improved model can obtain better classification performance.

scholarly journals A PROPOSAL FOR A MULTI-DRIVE HETEROGENEOUS MODULAR PIPE-INSPECTION MICRO-ROBOT

2008 ◽  
Vol 05 (02) ◽  
pp. 111-126 ◽  
Author(s):  
ALBERTO BRUNETE ◽  
JOSE EMILIO TORRES ◽  
MIGUEL HERNANDO ◽  
ERNESTO GAMBAO
Keyword(s):  
Degrees Of Freedom ◽  
Visual Inspection ◽  
Modular Approach ◽  
Simulation Environment ◽  
Pipe Inspection ◽  
Behavior Control ◽  
Control Scheme ◽  
Micro Robot ◽  
Different Types ◽  
Distributed Behavior

This paper presents the architecture used to develop a micro-robot for narrow pipes inspection. Both the electromechanical design and the control scheme will be described. In pipe environments it is very useful to have a method to retrieve information of the state of the inner part of the pipes in order to detect damages, leaks and holes. Due to the different types of existing pipes, a modular approach with different types of modules has been chosen in order to be able to adapt to the shape of the pipe and to chose the most appropriate gait. The micro-robot has been designed for narrow pipes, a field in which there are not many prototypes. The micro-robot incorporates a camera module for visual inspection and several drive modules for locomotion and turn (helicoidal, inchworm, two degrees of freedom rotation). The control scheme is based on semi-distributed behavior control and is also described. A simulation environment is also presented for prototype testing.

scholarly journals The Role of Visual Inspection in the 21st Century

2017 ◽  
Vol 61 (1) ◽  
pp. 262-266 ◽  
Author(s):  
Judi E. See ◽  
Colin G. Drury ◽  
Ann Speed ◽  
Allison Williams ◽  
Negar Khalandi
Keyword(s):  
21St Century ◽  
Visual Inspection ◽  
Past Research ◽  
Vital Role ◽  
Automated Detection ◽  
Lessons Learned ◽  
The Past ◽  
Different Types ◽  
Inspection Process

Visual inspection research has a long history spanning the 20th century and continuing to the present day. Current efforts in multiple venues demonstrate that visual inspection continues to have a vital role for many different types of tasks in the 21st century. The nature of this role spans the range from traditional human visual inspection to fully automated detection of defects. Consequently, today’s practitioners must not only successfully identify and apply lessons learned from the past, but also explore new areas of research in order to derive solutions for modern day issues such as those presented by introducing automation during inspection. A key lesson from past research indicates that the factors that can degrade performance will persist today, unless care is taken to design the inspection process appropriately.

scholarly journals Aerosol blocking assessment by different types of fabrics for homemade respiratory masks: spectroscopy and imaging study

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Carla Denari Giuliani ◽  
Mauricio Foschini ◽  
Adamo Ferreira Gomes Monte ◽  
Ana Caroline Moreira Mendes ◽  
Alexandre Maletta ◽  
...  
Keyword(s):  
Comparative Study ◽  
Health Professionals ◽  
Imaging Study ◽  
Protective Equipment ◽  
Spectroscopic Techniques ◽  
Scattering Of Light ◽  
Number Of Layers ◽  
Health Area ◽  
Surgical Masks ◽  
Different Types

Objectives: Due to the crisis in protective equipment caused by a pandemic, it generates needs for equipment rationing among professionals working in the health area, with the need for many health professionals to use homemade masks. Therefore, this is a comparative study regarding the relative efficiencies of commercial respiratory masks (medical masks) and homemade fabric masks.Methods: A liquid aerosol line was created that passes through a chamber with 6 optical windows that allows the fixation of tissue or masks in the aerosol flow. The measures used two spectroscopic techniques that made it possible to relate the amount of aerosols with the scattering of light..Results: Fabrics with a higher percentage of cotton, and a greater number of layers and more closed wefts proved to be more efficient in blocking aerosols, however, fabrics without treatments obtained results far below the real needs of professionals working in the health area, with efficiency below 75% for liquid aerosols among the tissues tested.Conclusion: Homemade masks prove to be effective in reducing the spread of the virus among ordinary citizens in past infections, the efficiency of homemade masks is very low for health professionals who are directly exposed to the biological agent, so, it is necessary for public administrations to seek new alternatives with greater efficiency for this type of professional during the absence of surgical masks and n95.

scholarly journals Lipohypertrophic Skin Changes in Patients With Diabetes: Visualization by Infrared Images

2018 ◽  
Vol 12 (6) ◽  
pp. 1152-1158 ◽  
Author(s):  
Lars Kaltheuner ◽  
Matthias Kaltheuner ◽  
Lutz Heinemann
Keyword(s):  
Insulin Therapy ◽  
Visual Inspection ◽  
Infrared Camera ◽  
Infrared Images ◽  
Small Pilot Study ◽  
Skin Changes ◽  
Different Types ◽  
Patients With Diabetes ◽  
Cold Spots

Background: Many patients with diabetes on insulin therapy develop lipohypertrophies (LHTs). So far, LHTs are diagnosed by conventional methods (CM; visual inspection, palpation and/or ultrasound). In everyday life, it would be advantageous to have a quick, simple and inexpensive alternative, for example, diagnosing them by obtaining infrared (IR) images. Methods: We obtained IR images from 43 subjects (21 patients with type 1 diabetes, conventional subcutaneous insulin therapy and known LHTs, 8 patients with CSII and LHTs, 7 patients without LHTs, and 7 healthy people), all from one specialized diabetes practice. The IR images were taken under standardized conditions with a high-resolution infrared camera (VarioCam® HDx Jenoptic, IR pixel 640 × 480, thermal resolution 0.003K) and compared with LHT diagnoses with CM. Results: In 14 of the 29 (48%) patients, CM diagnosed LHTs were “cold spots” in the IR images. The temperature difference to “healthy” skin (without LHTs) was up to 6°C. Of the 14 patients, 11 also showed such spots, without findings with CM. Four patients did not show clearly identifiable cold spots as LHT and 2 patients showed no changes in the IR images. The remaining 9 patients did not show clearly identifiable cold spots as LHT, but the diagnosis with CM was also ambiguous. Conclusions: The results of this small (pilot) study do not clearly support the value of IR images for the diagnosis of LHTs, but they do not refute this approach. Diagnosis of LHT might be hampered due to the existence of different types of LHTs. Usage of IR images can apparently detect LHTs before they can be diagnosed with CM. Further targeted investigations are required to make statements about the usability of this method.

An Improved Model for OD and Object Description in Fieldbus Intelligent Instruments Based on Object-Oriented Design

2010 ◽  
Vol 439-440 ◽  
pp. 635-640
Author(s):  
Geng Liang ◽  
Wen Li ◽  
Yan Bai
Keyword(s):  
Property Values ◽  
Object Oriented ◽  
Data Access ◽  
Universal Function ◽  
Constant Property ◽  
Object Oriented Design ◽  
Object Description ◽  
Data Process ◽  
Different Types ◽  
Improved Model

At present, objects dictionary (OD) and object descriptions used in fieldbus intelligent instruments are based on variable-sized storage and constant property values, which constrains the flexibility and portability in data access and modularization and encapsulation in system design. In this paper, a kind of universal data structure for object description in OD was presented. Universal management of object description with different types could be realized with the proposed structure. Based on principle and methodology of Object-Oriented Design (OOD), an improved model for object description was proposed. In the improved model, constant value used in object code field of object description is replaced by function pointer pointing to object instance handler for data process of object instances belonging to the same class. Universal function structure is used for all class object instance handlers for different classes but instances belonging to different classes are manipulated differently with their own handlers. The improved model for OD and object description was proven effective and efficient by the practice of development and design of intelligent instruments in distributed control network.

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