scholarly journals MODELING AND OPTIMIZATION OF PROCESSES GRINDING AND CLASSIFICATION OF RAW MATERIAL MICA

2015 ◽  
Vol 25 (05) ◽  
pp. 50-53
Author(s):  
Inna Aleksandrovna Serebryanik ◽  
Keyword(s):  
Raw Material ◽  
Modeling And Optimization

Intelligent Classification of Cocoa Bean using E-nose

Mekatronika ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 28-35
Author(s):  
Nur Amanda Nazli ◽  
Muhammad Sharfi Najib ◽  
Suhaimi Mohd Daud ◽  
Mujahid Mohammad
Keyword(s):  
Electronic Nose ◽  
Chemical Sensors ◽  
Classification Accuracy ◽  
Electronic Device ◽  
Raw Material ◽  
Cocoa Bean ◽  
Cocoa Beans ◽  
Microsoft Excel ◽  
Specificity And Sensitivity

Cocoa bean (Theobrama cacao) is an essential raw material in the manufacture of chocolate, and their classification is crucial for the synthesis of good chocolate flavour. Cocoa beans appear to be very similar to one another when visualised. Hence, an electronic device named the electronic nose (E-Nose) is used to classify the odor of cocoa beans to give the best cocoa bean quality. E-nose is a set of an array of chemical sensors used to sense the gas vapours produced by the cocoa bean and the raw data collected was kept in Microsoft Excel, and the classification took place in Octave. They then underwent normalisation technique to increase classification accuracy, and their features were extracted using mean calculation. The features were classified using CBR, and the similarity value is obtained. The results show that CBR's classification accuracy, specificity and sensitivity are all 100%.

scholarly journals The Status and the Role of ‘Chocolate’ Silicite in the Bohemian Neolithic

2018 ◽  
Vol 56 ◽  
pp. 49-64
Author(s):  
Pavel Burgert
Keyword(s):  
Social Status ◽  
Raw Materials ◽  
Raw Material ◽  
Carpathian Mountains ◽  
Or Groups ◽  
The Status ◽  
Czech Lands ◽  
Image Expansion

The article focuses on the chronological status of the distribution of ‘chocolate’ silicite originating from the area of south-east Poland in the prehistory of the Czech lands. The flow of ‘chocolate’ silicite across the Carpathian Mountains culminated in the period of the Stroke-Ornamented Ware culture (5100/5000–4500/4400 cal BC) in the area studied. Based on the analysis of the contexts of finds and the classification of the artefacts, the raw material is interpreted as an indicator of the presence of individuals or groups with an exclusive social status. Both the pattern of distribution and the status are common to other ‘exotic’ raw materials, especially for Carpathian obsidian, in the studied area in that same period. By comparing the spatial and chronological image expansion of both materials can lead to similar conclusions in their assessment

scholarly journals POTENTIALITY OF THE BUGOJNO COAL BASIN, BOSNIA AND HERZEGOVINA

2021 ◽  
Vol 1 (24) ◽  
Author(s):  
Dževad Forčaković ◽  
Rejhana Dervišević
Keyword(s):  
Raw Material ◽  
Northwestern Part ◽  
Material Base ◽  
Coal Basin ◽  
Surface Distribution ◽  
Research Results ◽  
Geological Characteristics ◽  
Quantitative Characteristics

This paper presents research results of the Bugojno coal basin, which contains very significant, but still insufficiently explored lignite reserves. Based on the determined borders of surface distribution and the research results in the northwestern part of the Bugojno coal basin, proved are four coal layers with reserves of over one billion tons of coal. Discussed are geological characteristics of coal layers, their qualitative-quantitative characteristics, spatial potential of deposit and classification of coal layers. Considering the raw material potential and the possibility of expanding the existing raw material base, the Bugojno coal basin has particular importance for the long-term development of lignite exploitation and its use for thermal energy purposes.

Classification of Natural and Thermo-Modified Peat by Class-Modeling Techniques

2016 ◽  
Vol 683 ◽  
pp. 596-600
Author(s):  
Aleksey Zarubin ◽  
Natalia Chukhareva
Keyword(s):  
Latent Variables ◽  
Chemical Properties ◽  
Component Composition ◽  
Thermal Modification ◽  
Raw Material ◽  
Data Matrix ◽  
Prediction Errors ◽  
Physico Chemical ◽  
Modeling Techniques

Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 °C. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material

scholarly journals GRADING WARNA DAUN TEMBAKAU BAWAH NAUNGAN MENGGUNAKAN JARINGAN SARAF TIRUAN. (Color Grading of Shaded Tobacco Leaves Using Artificial Neural Network)

2017 ◽  
Vol 12 (1) ◽  
pp. 43-57
Author(s):  
Aneke Rintiasti ◽  
Ikhwan Krisnadi
Keyword(s):  
Neural Network ◽  
Raw Material ◽  
Classification Model ◽  
Tobacco Leaves ◽  
Tobacco Leaf ◽  
Leaf Analysis ◽  
Color Grading ◽  
Leaf Image ◽  
Rgb Model

Various cigars, which are present in the community among the elite and prestigious venues, the raw material is a Java Tabak cigars, tobacco from Java, especially Klaten and Jember. Recent years, the availability of labor more difficult with increasing costs skyrocketing, so it must start leading to mechanization. The purpose of this research was to Generate Design of Tobacco Leaf Analysis Applications, Getting Segmentation Model for pixel readout from tobacco leaves, Generate classification models that can be used for the separation of tobacco leaves which is expected to ease the process of evaluation and classification of color in the first sorting Tobacco leaves. Tobacco Leaf used is The Under Shade Tobacco leaf (TBN) consisted of five classes, namely the color Blue / Green (B), Yellow (K), Yellow Sprayed (KV), Red (M), Red Sprayed (MV). Before analyzed the leaves image photographed using a cabinet that unaffected the outside light. TBN leaf image is then analyzed using the RGB model and models HSV, RGB image of the model  is  analyzed using the characteristic leaf color values, The image of leaf TBN that meets the characteristics become an input of Bakcpropagation Neural Networks with the target are 5 color grade which converted into a binary form. The research resulted Segmentation Model for pixel readout TBN tobacco leaves using RGB models, classification model that can be used for the classification of TBN leaves use Neural Network Back Training RGB with an error value = 8.7%.”keywords : besuki tobacco, shaded tobacco, image processingABSTRAK Aneka cerutu, yang hadir di kalangan komunitas elit dan tempat-tempat yang prestisius, bahan bakunya adalah Java Tabak Cerutu, tembakau asal Jawa, khususnya Klaten dan Jember. Beberapa tahun belakangan ini, ketersediaan tenaga kerja semakin sulit den gan biaya yang semakin meroket, sehingga harus mulai mengarah ke mekanisasi. Tujuan Penelitian ini adalah menghasilkan Rancang Bangun Aplikasi Analisa Daun Tembakau, mendapatkan Model Segmentasi untuk pembacaan piksel daun tembakau, menghasilkan Model Klasifikasi yang dapat digunakan untuk Pemisahan daun tembakau,sehingga diharapkan dapat mempermudah proses evaluasi dan klasifikasi warna pada Sortasi I daun Tembakau. Daun Tembakau yang digunakan adalah Daun Tembakau Bawah Naungan (TBN) jenis besuki terdiri dari 5 kelas warna yaitu Biru / Hijau (B), Kuning (K), Kuning Tidak Merata (KV), Merah (M), Merah Tidak Merata (MV). Sebelum dianalisa citra daun difoto menggunakan cabinet yang tidak terpengaruh cahaya luar. Citra daun TBN tersebut kemudian dianalisa menggunakan model RGB, dari model RGB citra daun dianalisa menggunakan karakteristik nilai warna, citra daun TBN yang memenuhi karakteristik menjadi masukan Jaringan Saraf Tiruan Bakcpropagation dengan target 5 kelas warna yang sudah diubah menjadi bentuk biner. Penelitian menghasilkan Model Segmentasi untuk pembacaan piksel daun tembakau TBN menggunakan model RGB, Model Klasifikasi yang dapat digunakan untuk klasifikasi daun TBN menggunakan Neural Network Back PropagationTraining RGB dengan nilai error = 8.7%.Kata Kunci : tembakau besuki, tembakau bawah naungan, pengolahan citra 

scholarly journals MICROSCOPIC EXAMINATION OF WOOL FIBERS IN PRAMENKA FOR THE QUALITY CLASSIFICATION OF RAW WOOL

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Nadžida MLAĆO ◽  
Amela KATICA ◽  
Velija KATICA ◽  
Almira SOFTIĆ ◽  
Vedad ŠAKIĆ ◽  
...  
Keyword(s):  
Textile Industry ◽  
Organic Waste ◽  
Environmental Problem ◽  
The Body ◽  
Raw Material ◽  
Wool Fibers ◽  
Quality Classification ◽  
Selection Of

In Bosnia and Herzegovina, Montenegro, as well as in most Balkan countries, wool is a major environmental problem. After sheep shearing, farmers usually leave the wool at the shear sites, providing poorly degradable organic waste. The purchase price of such untreated wool is as low as its quality. By this research, we have tried to draw attention, from another aspect, to the quality of wool fibers of certain parts of the body, which is ultimately very important in the textile industry and in the selection of wool for further processing. The cuticle is made from cornfied cells, flakes, located on the surface of wool fibers. One of the significant roles of the cuticle is the protective. Namely, the cuticle protects the wool fibers from various external factors, whether mechanical or physic-chemical (such as ammonia evaporation in poorly maintained facilities, etc.), which can damage the fleece and thus make it less quality. We have found some differences in the flakes position and shape in the wool fibers we investigated, depending on part of the body from which they were sampled. However, by microscopic analyses of samples taken from the root of the tail, we have found that the flakes were much smaller and finer in structure than the arrangement and appearance of the cornified flakes from the rump. In this study, we have compared the appearance and arrangement of flakes of cuticle, which is very important in assessing the quality of wool and its further use as a raw material.

scholarly journals MODELING AND OPTIMIZATION OF THE TECHNOLOGICAL PROCESS OF EXTRUDING BUCKWHEAT TEMPERATURE PARAMETERS

2020 ◽  
Author(s):  
B Tarabayev ◽  
K Baigenzhinov
Keyword(s):  
Mathematical Modeling ◽  
Technological Process ◽  
Process Parameters ◽  
Processing Time ◽  
Regression Equation ◽  
Raw Material ◽  
Modeling And Optimization ◽  
Grain Crops ◽  
Efficiency And Effectiveness ◽  
Rational Process

This article discusses the possibility of mathematical modeling andoptimization of parameters of the process of buckwheat. As a result of the research,a regression equation was obtained, which allows to predict the optimal extrusionparameters of buckwheat and reduce the number of experiments. Extrusionprocessing is one of the most attractive methods of processing grain crops to obtainsemi-finished products. The efficiency and effectiveness of the use of this equationis proved in laboratory conditions. The influence of all factors was studied duringthe extrusion of buckwheat grain, pressure, temperature, processing time andhumidity of the feedstock on the yield of blasted cereal, the content of watersoluble substances, the swelling and density of the extruded raw material. Amathematical model of the process of extrusion of buckwheat grain made itpossible to find rational process parameters allowing to obtain extrudates with highconsumer properties.

scholarly journals Implementasi Metode Feature Extraction pada Klasifikasi Kualitas Daun Tembakau Madura

Rekayasa ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Kunto Aji Wibisono ◽  
Achmad Fiqhi Ibadillah
Keyword(s):  
Economic Value ◽  
Raw Material ◽  
Grading System ◽  
Leaf Quality ◽  
Tobacco Leaf ◽  
Quality Detection ◽  
Quality Classification ◽  
Accuracy Level

<p>Madura merupakan salah satu daerah penghasil tembakau di Indonseia. Tembakau Madura  merupakan jenis komoditi perkebunan yang memiliki nilai ekonomi tinggi. Sebagian besar tembakau madura diserap oleh pabrik rokok sebagai bahan baku utama rokok maupun sebagai racikan atau campuran kretek. Secara umum tembakau Madura sendiri dibagi menjadi tiga bagian: tembakau gunung, tembakau tegal, dan tembakau sawah. Jenis tembakau gunung adalah yang paling diburu oleh pabrik rokok, meski produktivitasnya terbilang sangat rendah dibanding tembakau sawah. Terdapat banyak jenis  varietas tembakau gunung yang ditanam petani di Madura, namun  yang memiliki karakteristik khas adalah tembaku Prancak – 95. Hal ini disebabkan  <a href="http://global-news.co.id/2016/04/tembakau-varietas-prancak-95-madura-diam-diam-dikembangkan-tiongkok/">Aroma tembakau Prancak-95 Madura tidak bisa ditiru oleh</a> jenis varietas tembaku lain di Indonesia. Hal lain yang membedakan yaitu terjadi karena kontur atau struktur tanah Madura yang memang khas, yang merupakan kelebihan dari tembakau Madura.Pada penelitian ini didesain sebuah sistem gradding untuk mendeteksi kualitas tembakau Prancak – 95 madura. Deteksi kualitas daun tembakau ini didasarkan pada dua ekstraksi fitur yaitu tekstur dan aromatik. Berdasarkan kedua fitur tersebut nantinya akan diklasifikasikan dengan menggunakan standard kualifikasi SNI. Sehingga  level akurasi deteksi kualitas daun tembakau Madura menjadi lebih optimal</p><p class="Normal1"><em>Kata Kunci: </em><em>Image extraction, Sensor Gas, Tembakau Madura</em><em>.</em></p><p class="Normal1" align="center">Implementation of Feature Image Extraction on Quality Classification of Maduraness Tobacco<strong></strong></p><p class="Normal1"><strong>ABSTRACT</strong></p><p><em>Madura is one of the tobacco producing areas in Indonesian. Madura tobacco is a type of plantation commodity that has high economic value. Most tobacco Madura is absorbed by cigarette manufacturers as the main raw material of cigarettes as well as as a concoction or clove mixture. In general Madura tobacco itself is divided into three parts: mountain tobacco, tobacco tegal, and tobacco sawah. Types of mountain tobacco are the most hunted by cigarette manufacturers, although the productivity is very low compared to tobacco. There are many types of varieties of mountain tobacco grown by farmers in Madura, but which has a distinctive characteristic is the Prancak-95 tobacco. This is because the Prancak-95 Madura tobacco aroma cannot be imitated by other types of copious varieties in Indonesia. Another thing that distinguishes that occurs due to the contour or structure of Madura land that is typical, which is the advantage of Madura tobacco. In this study designed a grading system to detect the quality of Prancak tobacco - 95 madura. The tobacco leaf quality detection is based on two feature extractions, namely texture and aromatics. Based on these two features will be classified using SNI qualification standards. So that the accuracy level of Madura tobacco leaf quality detection becomes more optimal</em><em></em></p><em>Keywords: Image extraction, Gas Sensor, Maduraness Tobacco </em>

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