Rancang Bangun Mesin Pemilah Biji Pinang

2016 ◽  
Vol 9 (2) ◽  
pp. 157-166
Author(s):  
Muhammad Nauval Fauzi ◽  
Mahaputra Mahaputra
Keyword(s):  
Image Processing ◽  
Computing Time ◽  
Computational Time ◽  
Human Hand ◽  
Betel Nut ◽  
Theoretical Frameworks ◽  
Sorting Machine ◽  
Sorting Process ◽  
High Level

The objective of this study is how to read the image using a camera, a program of computational image processing to determine the quality of betel nut. The betel nut sorting machine can help to reduce workload of employee where before this is done manually by human hand. Betel nut sorting process based on the color can be done using a machine that works automatically which can increase the result capacity with high level of accuracy and consistency. This study discusses approaches and theoretical frameworks as well as image processing, statistical analysis of color to create a prototype of betel nut sorting machine through several stages, both in image processing, mechanics, computing, interfacing and pneumatic. The results of this study found that the good or bad quality of betel nut can be distinguished  by chromasity analysis, good quality has higher value chromasity than the bad one with an accuracy of 94%, the maximum conveyor speed of 18 cm/sec at 20 fps camera working mode, assuming that there is one nut available on each 6 cm range, computational time on the working mode of 20 fps, the maximum tolerable time of 50 ms, so that when it is made for 6 channel, the computing time becomes large. ABSTRAKPada penelitian ini yang menjadi sasaran adalah bagaimana membaca citra menggunakan kamera, melakukan program komputasi pengolahan citra untuk menentukan kualitas biji pinang. Mesin pemilah biji pinang ini dapat mengurangi beban kerja yang selama ini pemilahan dilakukan secara manual dengan tangan manusia, proses pemilahan biji pinang berdasarkan warna dapat dilakukan menggunakan mesin yang bekerja secara otomatis yang dapat meningkatkan kapasitas hasilnya, tingkat keakurasian yang tinggi dan juga konsisten. Penelitian ini membahas tentang pendekatan dan kerangka teoritis serta image processing, statistik analisis warna biji pinang untuk membuat prototipe mesin pemilah biji pinang melalui beberapa tahapan, baik secara image processing, mekanik, komputasi, interfacing dan pneumatik. Hasil penelitian ini didapatkan bahwa biji pinang yang kualitas baik dan jelek dapat dibedakan melalui analisis chromasity, pinang yang kualitas baik memiliki nilai chromasity yang lebih tinggi dibandingkan pinang kualitas jelek dengan akurasi 94%, kecepatan konveyor maksimal 18cm/detik pada mode kerja kamera 20 fps, dengan asumsi bahwa tiap 6 cm ada 1 buah pinang  yang tersedia di tiap jalurnya, waktu komputasi pada mode kerja 20 fps, maksimal waktu yang ditolerir sebesar 50ms, sehingga ketika dibuat untuk 6 jalur, waktu komputasi menjadi besar. Kata kunci : Mesin pemilah, biji pinang, image processing, komputasi, analisis chromasity

scholarly journals Automatic Extraction of Color Features from Landscape Images Based on Image Processing

2021 ◽  
Vol 38 (3) ◽  
pp. 747-755
Author(s):  
Cong Tan ◽  
Shaoyu Yang
Keyword(s):  
Image Processing ◽  
Color Space ◽  
Color Constancy ◽  
Support Vector ◽  
Automatic Extraction ◽  
Color Features ◽  
Image Library ◽  
Presentation Effect ◽  
High Level

The dominant color features determine the presentation effect and visual experience of landscapes. The existing studies rarely quantify the application effect of landscape colors through image colorization. Besides, it is unreasonable to analyze landscape images with multiple standard colors with a single color space. To solve the problem, this paper proposes an automatic extraction method for color features from landscape images based on image processing. Firstly, a landscape lighting model was constructed based on color constancy theories, and the quality of landscape images was improved with color constant image enhancement technology. In this way, the low-level color features were extracted from the landscape image library. Next, support vector machine (SVM) and fuzzy c-means (FCM) were innovatively integrated to extract high-level color features from landscape images. The proposed method was proved effective through experiments.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

Heart Rate Recovery Changes during Competition Period in High-Level Basketball Players

2018 ◽  
Vol 1 (80) ◽  
Author(s):  
Audrius Gocentas ◽  
Anatoli Landõr ◽  
Aleksandras Kriščiūnas
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Team Sports ◽  
Basketball Players ◽  
Coeffi Cients ◽  
Competition Period ◽  
Monitoring Training ◽  
Intense Training ◽  
High Level

Research background and hypothesis. Replete schedule of competitions and intense training are features of contemporary team sports. Athletes, especially the most involved ones, may not have enough time to recover. As a consequence, aggregated fatigue can manifest in some undesirable form and affect athlete’s performance and health.Research aim. The aim of this study was to evaluate the changes in heart rate recovery (HRR) and investigate possible relations with sport-specifi c measures of effi cacy in professional basketball players during competition season.Research methods. Eight male high-level basketball players (mean ± SD, body mass, 97.3 ± 11.33 kg; height 2.02 ± 0.067 m, and age 23 ± 3.12 years) were investigated. The same basketball specifi c exercise was replicated several times from September till April during the practice sessions in order to assess the personal trends of HRR. Heart rate monitoring was performed using POLAR TEAM SYSTEM. Investigated athletes were ranked retrospectively according to the total amount of minutes played and the coeffi cients of effi cacy. Research results. There were signifi cant differences in the trends of HRR between the investigated players. The most effective players showed decreasing trends of HRR in all cases of ranking.Discussion and conclusions. Research fi ndings have shown that the quality of heart rate recovery differs between basketball players of the same team and could be associated with sport-specifi c effi cacy and competition playing time.Keywords: adaptation, autonomic control, monitoring training.

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

About Innovative Content of Subject-Oriented Pedagogical Education

2019 ◽  
Vol 28 (10) ◽  
pp. 106-117
Author(s):  
R. M. Asadullin
Keyword(s):  
Teacher Education ◽  
Teacher Training ◽  
Educational Process ◽  
Professional Activity ◽  
Subject Knowledge ◽  
Technological Structure ◽  
State Pedagogical ◽  
High Level ◽  
Competencies Development

The continuous modernization of the education system makes the problems of the quality of teacher training increasingly relevant. Moreover, the measures taken to improve the system of teacher education are largely confined to the introduction of new organizational and managerial mechanisms and practically do not affect the internal content and technological structure of the teacher training process.Modern pedagogical universities are constantly looking for innovative models of training teachers that will be able to solve non-standard social and professional tasks. However, recent studies in this area do not fully take into account the nature of pedagogical activity and conditions of its formation. Thus, the need arises for a special study of the processes and means of updating the content and technologies of teacher training in order to control the level of students’ professional competencies development, as required by educational and professional standards. This means the creation of a special educational system in a pedagogical university, which can provide a harmonious and synchronous mastering by future specialists of both subject knowledge and methods of pedagogical activity.The article provides a theoretical study aimed at identifying key patterns of designing a new content for teacher education, the basis of which is the formation of a future teacher as a subject of his own professional activity. The author describes the experience of using a subject-oriented model of education, implemented at Bashkir State Pedagogical University n.a. M. Akmulla. The effectiveness of this model is confirmed by the high level of students’ mastery of designing methods and constructing the educational process, as well as their positive experience in the implementation of educational activities.

Analisis Soal Matematika Tipe Higher Order Thinking Skills (HOTS) Tingkat SMP

2020 ◽  
Vol 2 (2) ◽  
pp. 112-129
Author(s):  
Lelly Oktafiana ◽  
Iis Holisin ◽  
Himmatul Mursyidah
Keyword(s):  
Power Level ◽  
Thinking Skills ◽  
Higher Order Thinking Skills ◽  
National Examination ◽  
Class Viii ◽  
Valid Test ◽  
Grade Material ◽  
Data Collection Technique ◽  
High Level

This study aims to describe the quality of the 2018 Mathematics National Examination (UN) in the HOTS types at the junior high level in terms of the level of validity, reliability, problem differentiation power, level of difficulty and distractor. This type of research is a descriptive study. The research was conducted at SMP Muhammadiyah 4 Surabaya and SMP Negeri 13 Surabaya for students in class VIII. The data collection technique used is a test. The test was taken from the 2018 math UN questions in odd semester VIII grade material including HOTS type. The number of UN mathematics questions in 2018 in the odd semester VIII class material consisted of 12 questions with 25% including LOTS types and 75% including HOTS types. The results showed: (1) 100% valid test questions, (2) high question reliability, (3) good problem differentiation power, (4) the difficuly level of the question 77,77% categorized as moderate and 2 question 22,23% are categorized as difficult, (5) there are 2 questions with one of the answer options do not work.

scholarly journals Evaluation of Physiological and Quality Parameters of Green Asparagus Spears Subjected to Three Treatments against the Decline Syndrome

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 937
Author(s):  
Francisco Javier López-Moreno ◽  
Santiago Atero-Calvo ◽  
Eloy Navarro-León ◽  
Begoña Blasco ◽  
Teresa Soriano ◽  
...  
Keyword(s):  
Early Death ◽  
Amino Acid Profile ◽  
Quality Parameters ◽  
Asparagus Officinalis ◽  
Chicken Manure ◽  
Economic Losses ◽  
Whole Plants ◽  
High Level ◽  
Green Asparagus

Green asparagus (Asparagus officinalis L.) is a widely grown and consumed crop which provides high-level nutritional interest. In recent years, the decline syndrome in asparagus plantations has been rapidly augmenting. This syndrome causes the early death of whole plants, also negatively affecting the new replanting. Decline causes notable economic losses in the sector. The objective of this work was to verify the effect of different treatments against asparagus decline syndrome on the physiological parameters and nutritional quality of the spears. To meet the objective, four different treatments were applied to asparagus plots strongly affected by decline syndrome: (T1) untreated control soil, (T2) biofumigation with Brassica pellets, (T3) biofumigation with chicken manure pellets, and (T4) disinfestation of the soil with Dazomet. The cumulative yield and physiological and quality parameters of green asparagus spears were studied. Thus, malondialdehyde (MDA), photosynthetic pigments, glutathione (GSH), ascorbate (AsA), total phenols, flavonoids, anthocyanin, antioxidant test, mineral nutrients, and the amino acid profile were measured on asparagus spears. The results showed that the Brassica pellets and Dazomet treatments were the most effective against the damage caused by the decline syndrome. However, it would be necessary to monitor the evolution in the following years.

scholarly journals Clay-Based Brick Porosity Estimation Using Image Processing Techniques

2019 ◽  
Vol 29 (1) ◽  
pp. 1226-1234
Author(s):  
Safa Jida ◽  
Hassan Ouallal ◽  
Brahim Aksasse ◽  
Mohammed Ouanan ◽  
Mohamed El Amraoui ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Computer Vision ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Porosity Estimation ◽  
Microscopy Images ◽  
Scanning Electron

Abstract This work intends to apprehend and emphasize the contribution of image-processing techniques and computer vision in the treatment of clay-based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with “kill or cure” effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-based porosity estimation.

scholarly journals AI-based localization and classification of skin disease with erythema

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ha Min Son ◽  
Wooho Jeon ◽  
Jinhyun Kim ◽  
Chan Yeong Heo ◽  
Hye Jin Yoon ◽  
...  
Keyword(s):  
Neural Network ◽  
Skin Diseases ◽  
Classification Model ◽  
Screening Tests ◽  
Sensitivity Score ◽  
Common Skin ◽  
Novel Method ◽  
Improved Performance ◽  
High Level

AbstractAlthough computer-aided diagnosis (CAD) is used to improve the quality of diagnosis in various medical fields such as mammography and colonography, it is not used in dermatology, where noninvasive screening tests are performed only with the naked eye, and avoidable inaccuracies may exist. This study shows that CAD may also be a viable option in dermatology by presenting a novel method to sequentially combine accurate segmentation and classification models. Given an image of the skin, we decompose the image to normalize and extract high-level features. Using a neural network-based segmentation model to create a segmented map of the image, we then cluster sections of abnormal skin and pass this information to a classification model. We classify each cluster into different common skin diseases using another neural network model. Our segmentation model achieves better performance compared to previous studies, and also achieves a near-perfect sensitivity score in unfavorable conditions. Our classification model is more accurate than a baseline model trained without segmentation, while also being able to classify multiple diseases within a single image. This improved performance may be sufficient to use CAD in the field of dermatology.

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