Shungite-bearing rocks of the Zazhoginskoe ore field (Republic of Karelia): geology to processing technology

2021 ◽  
pp. 23-28
Author(s):  
V. V. Shchiptsov ◽  
V. I. Kevlich ◽  
A. V. Pervunina
Keyword(s):  
Processing Technology

Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

1995 ◽  
Vol 53 ◽  
pp. 642-643
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Image Processing ◽  
Visual System ◽  
High Precision ◽  
Image Data ◽  
Processing Technology ◽  
Output Data ◽  
Contrast Resolution ◽  
Pixel Intensity ◽  
Data Reading ◽  
Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

Studi fortifikasi hidrolisat protein udang rebon (mysis relicta) pada mie sagu

2020 ◽  
Vol 6 (1) ◽  
pp. 039
Author(s):  
Trie Omitha Purba ◽  
Suparmi Suparmi ◽  
Dahlia Dahlia
Keyword(s):  
Experimental Method ◽  
Proximate Composition ◽  
Protein Hydrolysate ◽  
Quality Standards ◽  
Processing Technology ◽  
Fish Processing ◽  
Mysis Relicta ◽  
Marine Chemistry ◽  
Randomized Design

The study aimed to determine the effect of rebon shirmp (mysis relicta) protein hydrolisate fortification to the sago noodles and to observe the characteristics of the sago noodles produced. The research was carried on in February – April 2019 in the  Laboratory of Fish Processing Technology, Integrated Laboratories, and the Fisheries and Marine Chemistry Laboratories at the Universitas Riau. The method used was the experimental method, designedas a non-factorial complete randomized design. The treatment conducted was addingof rebon shrimp protein hydrolysate at 4 level concentrations (0%, 5%, 10% dan 15%). The variables assessed were the quality of organoleptic (appearance, texture, odor, flavor) and the proximate composition. The results showed that the proteinhydrolysate of rebon shrimp at concentration of 15% was the best treatment and in accordance to the quality standards of dried noodles (SNI 01-2974-1996), indicated bythe highest organoleptic qualityof the dried noodles produced, including: the appearance that was brown, less attractive, whole, less neat; the texture that was dry and compact; the aroma that was quite fragrant, spesific rebon shrimp; and the taste that was quite tasty and shrimp flavored. The proximate composition ofthe best product was presented by the content of moisture, ash, fat, protein, and carbohydrate at 7.55%,1.02%, 0.17%, 16.76%, and 74.49%, respectively.Keywords: Hydrolysate protein, rebon shrimp, sago noodles

Introduksi Teknologi Pengolahan Pakan di Kecamatan Pattallassang Kabupaten Gowa Propinsi Sulawesi Selatan

2017 ◽  
Vol 1 (2) ◽  
pp. 95
Author(s):  
Sri Purwanti ◽  
Laily Agustina ◽  
Marhamah Nadir ◽  
Budiman Nohong ◽  
Jamila Jamila ◽  
...  
Keyword(s):  
Public Awareness ◽  
Learning By Doing ◽  
Processing Technology ◽  
Feed Additive ◽  
Feed Processing ◽  
Local Resources ◽  
Field School ◽  
Farmer Groups ◽  
Food Needs ◽  
Rural Appraisal

The purpose of science and technology activities for the community is to provide skills to farmers groups inutilizing the potential of existing natural resources as an alternative to ducks, utilizing high-protein ammonia bran, andmaking herbs as additive feed. Specific targets to be achieved are the fulfillment of livestock nutrition needs, especiallyducks with resource utilization with the fulfillment of food needs. Not only use the feed without processing. Through thisactivity farmers and agricultural extension, workers are expected to synergize to learn to utilize available local food,raising public awareness to utilize local resources into the nutrient-rich feed. Method of implementation of activities to becarried out is the socialization of activities on farmer groups, training for members of farmer groups, how to make a feedwith some feed processing technology and assistance to farmers. Output target IbM program is an alternative ration forducks, ammonia bran as a source of protein, herbal medicine. The method used is PRA (Participatory Rural Appraisal) /RRA (Rapid Rural Appraisal). Learning methods, extension training, training, and visits (Laku), field school education(SL), demonstration plots, guidance and mentoring, learning by doing. The resulting results of the system. Breeders arenot familiar with feed processing technology and farmers have not utilized local feed as a constituent of rations. Thetechnology applied to the breeder group is to use herbal ingredients as a feed additive, making silage as a source ofprotein one source for duck livestock

RFID data stream processing technology based on CEP

2009 ◽  
Vol 29 (10) ◽  
pp. 2786-2790 ◽  
Author(s):  
Xiao-jia YIN ◽  
Shi-guang JU ◽  
Ying-jie WANG
Keyword(s):  
Data Stream ◽  
Stream Processing ◽  
Processing Technology ◽  
Data Stream Processing ◽  
Rfid Data

Applications of digital processing technology in gas detection

2011 ◽  
Vol 25 (6) ◽  
pp. 553-557 ◽  
Author(s):  
Chun Liu ◽  
Xiaoling Wu ◽  
Wenqing Liu
Keyword(s):  
Digital Processing ◽  
Processing Technology ◽  
Gas Detection
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