scholarly journals RANCANG BANGUN SISTEM PENGOLAHAN CITRA DIGITAL UNTUK MENENTUKAN BERAT BADAN IDEAL

2017 ◽  
Vol 2 (2) ◽  
pp. 63
Author(s):  
Toni Efendi ◽  
Tsurayya Ats Tsauri ◽  
Iin Intan Uljanah
Keyword(s):  
Image Processing ◽  
Human Body ◽  
Search Algorithm ◽  
Detection Algorithm ◽  
The Body ◽  
Actual Condition ◽  
Ideal Weight ◽  
Average Percentage ◽  
Percentage Difference ◽  
Average Percentage Difference

In actual fact, there are many people who do not know whether their weight have been ideal or not due to unavailable device or machine that can be used to measure ideal weight practically. Therefore, in order to measure the ideal weight practically, the researcher is attempting to create a system based on image processing which is developed by using Matlab software. As a preliminary step, the researcher collects some samples data that will be used in the research. Furthermore, the calculation formula is analysed by the researcher to be used in the system. This research is using a formula namely Body Surface Area (BSA) with a tubular analogy of human body. Image processing is made by using the edge detection algorithm to know the height and width of objects in an image of the human body. In addition, by certain search algorithm the height and width of object in the image of human body will be known and used for measuring approximate height and weight. Besides, Body Mass Index (BMI) formula is used for measuring ideal weight. the research shows that the value of the average percentage difference deviation of the system is 1.63% for height and 11.6% for weight. At least but not last, for the level of system accuracy reaching up to 75% of the body actual condition by system calculating result.

An Investigation on Bending Capacity of Support Stiffness Wall-Slab Structural System by Using Single Layer and Double Layer of Rebar for Residential Project

2012 ◽  
Vol 446-449 ◽  
pp. 3670-3673
Author(s):  
Hooi Min Yee ◽  
Siti Isma Hani Ismail
Keyword(s):  
Double Layer ◽  
Concrete Strength ◽  
Single Layer ◽  
Concrete Cover ◽  
Structural System ◽  
Average Percentage ◽  
High Rise ◽  
Percentage Difference ◽  
Average Percentage Difference ◽  
Bending Capacity

Wall-slab structural system is a system suitable for use in the field of high-rise building where the main load resisting system is in the form rigidly connected wall slab member. Concrete vertical walls may serve both architecturally partitions and structurally to carry gravity and lateral loading. Moment transfer of joint is an important aspect for proper structurally functioning of wall-slab system. Hence, the main aim of this study is to investigate experimentally the effect of reinforcement details in the wall on bending capacity for support stiffness in wall-slab system for residential project in Malaysia. A total of six wall specimens were tested based on the specification given by the project contractor. Three of this specimens consisted single layer of rebar while another three specimen consisted of double layer of rebar. The size of the wall-slab’s specimens is 1000mm in length (L), 1080mm in width (W), 1000mm in height (H) and 80mm in thickness (T). The average concrete strength was 23.49MPa with Grade 30N/mm2 and the average yield strength of R5 bar was 817MPa. The predicted bending capacity at failure is in the range from 5.36kNm to 7.12kNm, depending on actual concrete cover. The bending capacity at failure for single layered of rebar in wall for specimen 1, 2 and 3 were found to be 3.59kNm, 3.81kNm and 3.15kNm, respectively. The bending capacity at failure for double layered of rebar in wall for specimen 1, 2 and 3 were 5.50kNm, 6.31kNm and 7.00kNm, respectively. The average percentage difference in stiffness of double layered of rebar in wall based on load-deflection curve obtained is in the range from 116.17% to 289.88% higher than single layered of rebar in wall. Based on the experimental results, specimens consisted of double layered of rebar in wall is found to provide higher bending capacity to the joint of wall-slab structural system in the range from 56.25% to 98.86% compared with single layered of rebar in wall.

scholarly journals A method for handlebars ballast calculation in order to reduce vibrations transmissibility in walk behind tractors

2017 ◽  
Vol 48 (2) ◽  
pp. 81 ◽  
Author(s):  
Angelo Fabbri ◽  
Chiara Cevoli ◽  
Giuseppe Cantalupo
Keyword(s):  
Finite Element ◽  
Analytical Method ◽  
Experimental Tests ◽  
Dynamic Structure ◽  
Average Percentage ◽  
Percentage Difference ◽  
Average Percentage Difference ◽  
Vibration Transmissibility ◽  
High Level

Walk behind tractors have some advantages over other agricultural machines, such as the cheapness and the easy to use, however the driver is exposed to high level of vibrations transmitted from handles to hand-arm system and to shoulders. The vibrations induce discomfort and early fatigue to the operator. In order to control the vibration transmissibility, a ballast mass may be added to the handles. Even if the determination of the appropriate ballast mass is a critical point in the handle design. The aim of this research was to study the influence of the handle mass modification, on the dynamic structure behaviour. Modal frequencies and subsequent transmissibility calculated by using an analytical approach and a finite elements model, were compared. A good agreement between the results obtained by the two methods was found (average percentage difference calculated on natural frequencies equal to 5.8±3.8%). Power tillers are made generally by small or medium-small size manufacturers that have difficulties in dealing with finite element codes or modal analysis techniques. As a consequence, the proposed analytical method could be used to find the optimal ballast mass in a simple and economic way, without experimental tests or complex finite element codes. A specific and very simple software or spreadsheet, developed on the base of the analytical method here discussed, could effectively to help the manufacturers in the handlebar design phase. The choice of the correct elastic mount, the dimensioning of the guide members and the ballast mass could be considerably simplified.

Segmentation of Different Tissues of Brain From MR Image

2019 ◽  
pp. 142-180
Author(s):  
Ankur Priyadarshi
Keyword(s):  
Image Processing ◽  
Human Body ◽  
Medical Image Processing ◽  
The Body ◽  
Tissue Type ◽  
Mr Image ◽  
Research Fields ◽  
Multiple Thresholds ◽  
Initial Segmentation ◽  
Different Tissues

In the most recent couple of decades, medical image processing stood out within picture preparing research fields because of its nonintrusive nature. Restorative imaging modalities, for example, MRI, CT filter, for the most part, rely upon computer imaging innovation to create or show advanced pictures of the inward organs of the human body, which causes the medicine professionals to envision the internal bits of the body. Here the proposed algorithm is thresholding different tissue type of brain MR image. Modes of the histogram represent different tissue types in brain MR image. So, this algorithm depends on the principle of finding maxima and minima using differentiation of the smoothed histogram. Using discrete differentiation, the author finds the multiple thresholds of brain MR image by selecting proper location of minima. The algorithm can be used as an initial segmentation of different tissue types of brain MR image for further accurate detection of the regions.

SIMULATION OF INTAKE AND EXHAUST VALVE TIMING ON INTERNAL COMBUSTION ENGINE

2017 ◽  
Vol 79 (7-4) ◽  
Author(s):  
Afiq Aiman Dahlan ◽  
Mohamad Shahrafi ◽  
Mohd Farid Muhamad Said
Keyword(s):  
Internal Combustion Engine ◽  
Power Output ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Exhaust Valve ◽  
Miller Cycle ◽  
Average Percentage ◽  
Percentage Difference ◽  
Average Percentage Difference ◽  
Opening And Closing

Internal combustion engine in automotive industry is widely researched to increase its efficiency and power output. Valve system in modern internal combustion engine control the opening and closing timing of intake and exhaust stroke. Its duration affects the performance of the engine at both power output and fuel efficiency. Therefore, this study discusses about the Miller cycle concept that alter the duration of both intake and exhaust valve opening and closing characteristics. The study focusses mainly on finding the optimum timing characteristics on Proton Iriz gasoline engine. A 1-dimensional model has been built using a commercial software called GT-POWER for engine simulation purpose. The engine is then calibrated with the simulation model. The optimization was run in this software to find the best optimum timing of intake and exhaust valve for two categories which are targeting performance and fuel consumption. The results show positive trends in the BSFC results with the maximum percentage difference of 26.27% at 6,250 rpm. The average percentage difference in the BSFC results is 14.12%. For targeting performance, the overall results show an increasing trend in the brake torque curves with maximum percentage difference is 9.83%. The average percentage difference in brake torque is found to be 3.12%. Therefore, this paper concludes that Miller cycle implementation give minimal performance increment. The targeting performance and fuel consumption optimization can also be implement for changing mode of driving. However, the increase compression ratio would also give adverse effects on engine performance and endurance. The Miller cycle is also more suitable to be implement on force induction system. 

Vibration Measurement and Analysis Using Image Processing Method

Volume 2 ◽  
2004 ◽  
Author(s):  
Roya Narimani ◽  
Maryam Hoviattalab ◽  
Arash Abadpour ◽  
Azadeh Yadolahi
Keyword(s):  
Image Processing ◽  
Human Body ◽  
Mechanical Impedance ◽  
Displacement Function ◽  
The Body ◽  
Shaking Table ◽  
Vibration Measurement ◽  
Whole Body ◽  
Sinusoidal Vibration ◽  
Body Vibration

A large number of people are exposed to whole body vibration in their occupational life. Measuring vibration is an important tool in rehabilitation and biomechanical fields of research. We have proposed image processing as a new method to record and determine the frequency response of human body. The arranged set up for forced vibration consisted of an AC motor, a variable speed drive unit and a shaking table for producing one directional sinusoidal vibration. Volunteers were asked to stand on the shaking table at a relaxed posture. Two digital camcorders were used to capture the motion of colored pencil-dot markers on the skin of human body (forehead) and on the edge of the shaking table. After color spotting each frame, the binary image results were processed using new circle factor criteria proposed in this work, for fast finding circles based on second order statistics. The extracted points were calibrated using our own extended version of the direct linear transformation (DLT) method. Subsequently Vibration measuring software has been completely developed in Borland Delphi 5.0. Finally obtained displacement function of the body and the shaking table has been used in conjunction with Matlab 6.5 to prepare a proper algorithm for analyzing human body vibration. We discussed mechanical characteristics of the body by obtaining mechanical impedance and transmissibility from the shaking table to the head as example applications of the conducted software. The important point is the fact that all devices used in our developed measurement system are usually available in a biomechanics laboratory where a Gait system is functioning. This gives the opportunity for such laboratory to add vibration measurement to its capabilities without much excessive costs. The system has the advantage of lower noise sensitivity in comparison to accelerometer. The main advantage of this method is working with a simple user-familiar hardware with no external device attached to the subject and also a user-friendly-software.

Defects Detection of Pharmaceutical Blister Packaging Based on Shape Template Matching

2015 ◽  
Vol 731 ◽  
pp. 426-429 ◽  
Author(s):  
Guang Li ◽  
Chen Chen Cao ◽  
Jie Ge ◽  
Guang Chen Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Template Matching ◽  
Search Algorithm ◽  
Detection Algorithm ◽  
Visual Programming ◽  
Detection Algorithms ◽  
The Difference ◽  
Vision Defects ◽  
Binary Image Processing

In machine vision defects detection of pharmaceutical blister packaging, the traditional defects detection algorithms always do the binary image processing and edge feature extraction and other operations, and then locate the analysis image through these features. These operations are very tedious and inflexible. In this paper, the shape template matching algorithm is applied to pharmaceutical blister packaging defects detection. The algorithm can determine whether there is a positioning region of the sheet or pieces missing through search algorithm to locate the template image and comparing the difference of gray value between the detection region and the template region. This paper packaged the software of pharmaceutical blister packaging machine vision defects detection via the professional image processing library of Halcon and visual programming software Visual C++. Detection case demonstrates the feasibility and effectiveness of detection algorithm and system.

scholarly journals ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail

2020 ◽  
Vol 13 (14) ◽  
pp. 452-457
Author(s):  
Pranav S. Wazarkar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Human Body ◽  
Digital Image ◽  
Skin Diseases ◽  
Disease Diagnosis ◽  
The Body ◽  
Careful Examination ◽  
Human Beings ◽  
Human Nail

Development of Low Cost System for Estimating RBC, WBC Count Using Image Processing

2021 ◽  
Vol 11 (1) ◽  
pp. 26-38
Author(s):  
Rajithkumar B. K. ◽  
Shilpa D. R. ◽  
Uma B. V. ◽  
H. S. Mohana
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Detection Algorithm ◽  
The Body ◽  
Cost Estimating ◽  
Vector Borne Diseases ◽  
Cost System ◽  
Canny Edge ◽  
Wbc Count ◽  
Processing Techniques

Blood-related diseases are one of the most widespread and rampant vector-borne diseases in tropical countries like India. With an ever-increasing population and enormous stress on resources like land and water, new avenues open for insects like mosquitoes to breed and propagate the virus. The traditional lab method for the detection of diseases in a human's anatomy involves extracting the blood and subjecting it to various tests to count and detect the number of blood cells. An abnormally low platelet count would indicate the presence of the virus in the body. The usual method undertaken by labs all over the world is the use of the conventional chemical procedures, which may take a few hours to produce the result. The proposed system for the low cost estimating of RBC and WBC is developed using image processing techniques and canny edge detection algorithm. The obtained results are analysed and compared with the conventional methods, and results are obtained with an accuracy of 91.2.

Quantum Image Segmentation Algorithms

2021 ◽  
pp. 246-267
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Search Algorithm ◽  
Detection Algorithm ◽  
The Other ◽  
Quantum Image Processing ◽  
Quantum Image ◽  
Edge Detection Algorithm ◽  
Segmentation Algorithms ◽  
Grover Search

Quantum image segmentation has always been one of the difficult tasks in quantum image processing. This chapter introduce two quantum image segmentation algorithms. One is quantum edge detection algorithm; the other one is quantum image segmentation based on generalized Grover search algorithm.

scholarly journals Performance of pulsed-electrochemical honing and pulsed-electrochemical finishing in improving quality of bevel gears

2018 ◽  
Vol 5 ◽  
pp. 14 ◽  
Author(s):  
Sunil Pathak ◽  
Neelesh Kumar Jain
Keyword(s):  
Surface Roughness ◽  
Removal Rate ◽  
Bevel Gear ◽  
Average Percentage ◽  
Bevel Gears ◽  
Pitch Error ◽  
Percentage Difference ◽  
Average Percentage Difference ◽  
Electrochemical Finishing

This article presents a comparative study concerning performance of pulsed-electrochemical honing (PECH) and pulsed-electrochemical finishing (PECF) in straight bevel gear finishing. Performance of these processes were compared in terms of average percentage difference in the considered parameters of surface features of bevel gear namely average percentage differences in average surface roughness ‘PDRa’, maximum surface roughness ‘PDRmax’ and depth of surface roughness ‘PDRz’, micro-geometry (i.e. average percentage differences in single pitch error ‘PDfp’, adjacent pitch error ‘PDfu’, cumulative pitch error ‘PDFp’, and percentage difference in runout ‘PDFr’) and finishing productivity (i.e. material removal rate ‘MRR’). Microstructure and microhardness were also considered as measure for performance assessment. Observed results show PECH is proficient in simultaneously improving all the considered responses of bevel gears by more than 50% as compared to PECF. The PECH-finished gear additionally displayed unrivalled microstructure and better microhardness when contrasted with PECF-finished gear. These changes will upgrade the working-life and operating performance of the finished gear.

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