scholarly journals KLASIFIKASI LEVEL KEMATANGAN BUAH TOMAT BERDASARKAN FITUR WARNA MENGGUNAKAN MULTI-SVM

2016 ◽  
Vol 1 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Suastika Yulia Riska ◽  
Puji Subekti
Keyword(s):  
Histogram Equalization ◽  
Kernel Functions ◽  
Training Data ◽  
Adaptive Histogram Equalization ◽  
A Value ◽  
Color Features ◽  
Long Time

Grouping of tomato maturity level is one way to pay attention to the quality of the tomatoes. The traditional way takes a long time and low accuracy, since the determination of the level of subjectively assessed. In addition, the importance of the classification of the level of maturity of tomatoes due to a period of tomato maturation process is relatively quick, so it can reduce the risk of rotting tomatoes. The dataset used in this study was 108 tomato image taken using three types of smartphones. The dataset is divided into 66 training data and testing the data 42. Improvements to the image preprocessing stage is done with adaptive histogram equalization and compared with the histogram equalization. In the feature extraction using color features of the R, G, and A *. The classification of the level of maturity of tomato is done by comparing the accuracy of using multi-SVM and KNN. In the Multi-SVM method using the highest percentage of kernel functions RBG is equal to 77.84%. While the method kNN highest percentage was 77.79% using a value of k = 3.

Tingkat Pemahaman Kompetensi Guru Pada Mahasiswa Pendidikan Geografi Sebagai Calon Guru Geografi

2020 ◽  
Vol 21 (1) ◽  
pp. 102-117
Author(s):  
Novia Zalmita ◽  
Muhajirah Muhajirah ◽  
Abdul Wahab Abdi
Keyword(s):  
Prospective Teachers ◽  
Prospective Teacher ◽  
Quantitative Description ◽  
Population Data ◽  
Geography Education ◽  
Teacher Competence ◽  
Education Department ◽  
Long Time

One that influences human resource indicators is education. The teacher is a profession as a job of academic specialization in a relatively long time in college. Understanding related to teacher competence is very important to have by a prospective teacher because it can affect the quality of performance as a professional teacher. The teacher's competence is known as pedagogic, professional, social and personality competencies. The issue in this study is how the competency of the teacher of the Department of Geography Education FKIP Unsyiah as a prospective teacher of geography? The purpose of this study was to determine the competence of teachers in the Department of Geography Education FKIP Unsyiah as prospective geography teachers. Quantitative description approach is used in this study to find answers to the issue. The population in this study were students of the Department of Geography Education FKIP Unsyiah class of 2015 and 2016 who had been declared to have passed the Micro Teaching and Magang Kependidikan 3 course totaling 50 people. Because the population is small and can be reached, the determination of the sample using total sampling techniques so that the sample in this study is the whole population. Data collection is done by distributing test questions to respondents. The data was analyzed using the descriptive statistics percentage formula. The results of the study indicate that the level of teacher competence of Geography Education Department students as prospective teachers is in the moderate category, namely as many as 22 respondents (44%). A total of 12 respondents (24%) were in the high category, 15 respondents (30%) were in the low category and 1 respondent (2%) were in the very low category.

scholarly journals Determination of the Value of Intangible Assets in the Companies of Lithuania

2017 ◽  
Vol 14 (2) ◽  
pp. 55-68 ◽  
Author(s):  
Rita Bužinskienė
Keyword(s):  
Financial Management ◽  
Intangible Assets ◽  
Fair Value ◽  
Financial Information ◽  
Financial Accounting ◽  
True Value ◽  
A Value ◽  
The Impact

AbstractIn accordance with generally accepted accounting standards, most intangibles are not accounted for and not reflected in the traditional financial accounting. For this reason, most companies account intangible assets (IAs) as expenses. In the research, 57 sub-elements of IAs were applied, which are grouped into eight main elements of IAs. The classification of IAs consists in two parts of assets: accounting and non-accounting. This classification can be successfully applied in different branches of enterprises, to expand and supplement the theoretical and practical concepts of the company's financial management. The article proposes to evaluate not only the value of financial information for IAs (accounted) but also the value of non-financial information for IAs (non-accounted), thus revealing the true value of IAs that is available to the companies of Lithuania. It names a value of general IAs. The results of the research confirmed the IA valuation methodology, which allows companies to calculate the fair value of an IA. The obtained extended IAs valuation information may be valuable to both the owners of the company and investors, as this value plays an important practical role in assessing the impact of IAs on the market value of companies.

Methods for Determination of Rubber to Cord Bond Strength

1959 ◽  
Vol 32 (3) ◽  
pp. 898-906
Author(s):  
R. V. Uzina ◽  
L. S. Gromova ◽  
S. A. Vasil'eva
Keyword(s):  
Bond Strength ◽  
Laboratory Method ◽  
Single Thread ◽  
Vulcanized Rubber ◽  
Pull Out ◽  
Cord Fabric ◽  
Fabric Structures

Abstract In selecting methods for determination of rubber to cord bond strength it is necessary to consider the factors which are subject to variation in the system— the type of cord, the composition of the vulcanized rubber, or the composition of the impregnant. The selection (composition) of the methods of assessment of bond strength was carried out in the present study while keeping the type of cord and the rubber compositions constant ; only the composition of the impregnant was varied. Up to the present there has been no single laboratory method for evaluating rubber to cord bond strength for the determination of the service quality of rubber-fabric structures. The bond strength in such a system is assessed in the majority of cases by the use of a series of methods. The existing methods may be systematized according to the nature of the deformation (static or dynamic), the nature of the specimen (with single thread of cord or with cord fabric) and so on. We adopted the following classification of methods: 1). Determination of bond strength of a single thread of cord with the rubber; 2). Determination of bond strength of rubber to fabric model specimens. Determination of bond strength of a single thread of cord with rubber is an exceptionally widely used type of testing in the rubber industry. It is based either on the principle of stripping of a single thread of cord from the rubber under pressure, or on the principle of pull-out of a thread of cord from a rubber specimen.

scholarly journals Analysis of assessment criteria for selected systems of transport means operation

2018 ◽  
Vol 182 ◽  
pp. 02003
Author(s):  
Łukasz Muślewski ◽  
Leszek Knopik ◽  
Bogdan Landowski ◽  
Oleh Polishchuk
Keyword(s):  
Time Moment ◽  
Transport Systems ◽  
Time Interval ◽  
Sociotechnical System ◽  
Human Driver ◽  
System Functioning ◽  
Technical Systems

The problems discussed in the study are connected with evaluation of complex technical systems functioning, in particular, transport systems. It was assumed that evaluation of their functioning depends on fulfilment degree of selected criteria. Therefore, it is important to determine a set of criteria including their type, number and importance. Since the research object is a public city transport system considered to be a sociotechnical system of the type: human (driver) –machine (vehicle) and the environment <H-M-E>, the criteria to be used for the assessment must include behavior of humans, operation of transport means, and the environmental impact. Thus, selection and determination of importance of significant, time variable, measurable and independent characteristics whose values, in a given time moment or a given time interval, define fulfillment degree of the criteria provide the basis for evaluation of such systems functioning. The quality of technical systems functioning in time is assessed on the basis of the criteria fulfilment degree or comparison and classification of different systems of the same type. It needs to be emphasized that the choice of optimal methods for selection of relevant criteria and determination of their impact on the analyzed system functioning is the research subject of study.

Assessment of Some Enhancement Methods of Renal X-ray Image

2020 ◽  
Vol 18 (12) ◽  
pp. 01-05
Author(s):  
Salim J. Attia
Keyword(s):  
Image Quality ◽  
Radiation Dosage ◽  
Histogram Equalization ◽  
Quality Factors ◽  
X Ray ◽  
Adaptive Histogram Equalization ◽  
Quality Image ◽  
Enhancement Method ◽  
Spatial Quality

The study focuses on assessment of the quality of some image enhancement methods which were implemented on renal X-ray images. The enhancement methods included Imadjust, Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The images qualities were calculated to compare input images with output images from these three enhancement techniques. An eight renal x-ray images are collected to perform these methods. Generally, the x-ray images are lack of contrast and low in radiation dosage. This lack of image quality can be amended by enhancement process. Three quality image factors were done to assess the resulted images involved (Naturalness Image Quality Evaluator (NIQE), Perception based Image Quality Evaluator (PIQE) and Blind References Image Spatial Quality Evaluator (BRISQE)). The quality of images had been heightened by these methods to support the goals of diagnosis. The results of the chosen enhancement methods of collecting images reflected more qualified images than the original images. According to the results of the quality factors and the assessment of radiology experts, the CLAHE method was the best enhancement method.

An Image Enhancement Method Based on the Coal Mine Monitoring System

2012 ◽  
Vol 468-471 ◽  
pp. 204-207
Author(s):  
Zhen Chong Wang ◽  
Yan Qin Zhao
Keyword(s):  
Image Enhancement ◽  
Coal Mine ◽  
Impulse Noise ◽  
Histogram Equalization ◽  
Video Monitor ◽  
Low Contrast ◽  
Adaptive Histogram Equalization ◽  
Enhancement Method ◽  
Special Environment

For the low illumination and low contrast in the coal mine, images captured from the video monitor system sometimes are not so clear to help the related personal monitoring the production and safety of the mine. According to the special environment of coal mine, an image enhancement method was presented. In this method the impulse noise which is the mainly noise in the coal mine was first reduced with median filtering, then the low contrast and illumination was greatly improved with the improved adaptive histogram equalization. Experiments show that this method can improve the quality of images underground effectively.

scholarly journals An Efficient Segmentation based Classification of Diabetic Retinopathy Identification using CLAHE with ResNet Model

2019 ◽  
Vol 8 (9) ◽  
pp. 2277-2283
Keyword(s):  
Diabetic Retinopathy ◽  
Histogram Equalization ◽  
Classification Model ◽  
Diabetic Patients ◽  
Detection Model ◽  
Adaptive Histogram Equalization ◽  
Active Population ◽  
Classifier Performance ◽  
Timely Treatment

Diabetic retinopathy (DR) is a widespread problem for diabetic patient and it has been a main reason for blindness in the active population. Several difficulties faced by diabetic patients because of DR can be eliminated by properly maintaining the blood glucose and by timely treatment. As the DR comes with different stages and varying difficulties, it is hard to DR and also it is time consuming. In this paper, we develop an automated segmentation based classification model for DR. Initially, the Contrast limited adaptive histogram equalization (CLAHE) is used for segmenting the images. Later, residual network (ResNet) is employed for classifying the images into different grades of DR. For experimental analysis, the dataset is derived from Kaggle website which is open source platform that attempts to build DR detection model. The highest classifier performance is attained by the presented model with the maximum accuracy of 83.78, sensitivity of 67.20 and specificity of 89.36 over compared models

scholarly journals Classification of Lexile Level Reading Load Using the K-Means Clustering and Random Forest Method

2020 ◽  
pp. 139-146
Author(s):  
Harits Ar Rosyid ◽  
Utomo Pujianto ◽  
Moch Rajendra Yudhistira
Keyword(s):  
Random Forest ◽  
Reading Ability ◽  
Random Forest Algorithm ◽  
Reading Material ◽  
A Value ◽  
Random Forest Method ◽  
Comprehension Ability ◽  
Lexile Levels

There are various ways to improve the quality of someone's education, one of them is reading. By reading, insight and knowledge of various kinds of things can increase. But, the ability and someone's understanding of reading is different. This can be a problem for readers if the reading material exceeds his comprehension ability. Therefore, it is necessary to determine the load of reading material using Lexile Levels. Lexile Levels are a value that gives a size the complexity of reading material and someone's reading ability. Thus, the reading material will be classified based a value on the Lexile Levels. Lexile Levels will cluster the reading material into 2 clusters which is easy, and difficult. The clustering process will use the k-means method. After the clustering process, reading material will be classified using the reading load Random Forest method. The k-means method was chosen because of the method has a simple computing process and fast also. Random Forest algorithm is a method that can build decision tree and it’s able to build several decision trees then choose the best tree. The results of this experiment indicate that the experiment scenario uses 2 cluster and SMOTE and GIFS preprocessing are carried out shows good results with an accuracy of 76.03%, precision of 81.85% and recall of 76.05%.

scholarly journals Evaluation of the influence of the therapy with fosinopril and zofenopril on the regulatory-adaptive status of patients with diastolic chronic heart failure

2019 ◽  
Vol 10 (4) ◽  
pp. 23-28
Author(s):  
Svetlana N. Nedvetskaya ◽  
Vitalii G. Tregubov ◽  
Iosif Z. Shubitidze ◽  
Vladimir M. Pokrovskiy
Keyword(s):  
Heart Failure ◽  
New York ◽  
Chronic Heart Failure ◽  
Subjective Evaluation ◽  
Heart Association ◽  
Functional Class ◽  
New York Heart Association

Aim. Еvaluate the influence of combination therapy with fosinopril or zofenopril on the regulatory-adaptive status (RAS) of patients with diastolic chronic heart failure (CHF). Material and methods. The study includes 80 patients with CHF I-II functional class according to the classification of the New York heart Association with left ventricle ejection fraction ≥50% because of hypertensive disease (HD) of III stage, who were randomized into two groups for treatment with fosinopril (14.7±4.2 mg/day, n=40) or zofenopril (22.5±7.5 mg/day, n=40). As part of combination pharmacotherapy, patients were included nebivolol (7.1±2.0 mg/day and 6.8±1.9 mg/day), in the presence of indications, atorvastatin and acetylsalicylic acid in the intestinal shell were prescribed. Initially and after six months, the following was done: a quantitative evaluation of the RAS (by cardio-respiratory synchronism test), echocardiography, tredmil-test, six-minute walking test, determination of the N-terminal precursor of the natriuretic brain peptide level in blood plasma and subjective evaluation of quality of life. Results. Therapy, using fosinopril, in comparison with zofenopril, more improved RAS (by 66.5%, p

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