scholarly journals Application of image analysis for determination of rapeseed dimensions using IoT concept

2020 ◽  
Vol 45 (3) ◽  
pp. 44-52
Author(s):  
Dušan Marković ◽  
Ranko Koprivica ◽  
Biljana Veljković ◽  
Dejan Vujičić ◽  
Uroš Pešović ◽  
...  
Keyword(s):  
Image Analysis ◽  
The Internet ◽  
Equivalent Diameter ◽  
Slow Process ◽  
Cross Sectional ◽  
First Results ◽  
Processing And Storage ◽  
And Storage ◽  
The Internet Of Things

The paper analyzes the geometric characteristics of seeds, uniformity and cross - sectional area of rapeseed, on the basis of which the equivalent diameter was calculated. Knowing the dimensions of seeds is important in seed production from sowing, harvesting, processing, and storage, to seed packaging. Manual determination of the dimensions of seeds is a rather slow process, so the aim of this work was to show a computer-aided device that contains a camera and can take seed samples, while determining the dimensions of seeds by program image analysis. Presented device is realized in accordance with the concept of the Internet of Things (IoT) so it has the ability to connect to the Internet and forward the image, or in another variant can directly perform the image analysis and further forward the results only. The purpose of the presented system for determining the size of seeds is providing a fast and efficient way for users to get the first results that will help them in the implementation of further activities related to working with small seeds.

Gender determination of caucasoid hair using image analysis

1993 ◽  
Vol 51 ◽  
pp. 216-217
Author(s):  
T.B. Ball ◽  
W.M. Hess
Keyword(s):  
Image Analysis ◽  
Cross Sections ◽  
Scalp Hair ◽  
The Body ◽  
Equivalent Diameter ◽  
Cross Sectional ◽  
Hair Samples ◽  
Length Width ◽  
Morphological Differences

It has been demonstrated that cross sections of bundles of hair can be effectively studied using image analysis. These studies can help to elucidate morphological differences of hair from one region of the body to another. The purpose of the present investigation was to use image analysis to determine whether morphological differences could be demonstrated between male and female human Caucasian terminal scalp hair.Hair samples were taken from the back of the head from 18 caucasoid males and 13 caucasoid females (Figs. 1-2). Bundles of 50 hairs were processed for cross-sectional examination and then analyzed using Prism Image Analysis software on a Macintosh llci computer. Twenty morphological parameters of size and shape were evaluated for each hair cross-section. The size parameters evaluated were area, convex area, perimeter, convex perimeter, length, breadth, fiber length, width, equivalent diameter, and inscribed radius. The shape parameters considered were formfactor, roundness, convexity, solidity, compactness, aspect ratio, elongation, curl, and fractal dimension.

scholarly journals Socioeconomic technologies – development trends in the age of digitalization

2020 ◽  
Author(s):  
Leonid Reingold ◽  
Aleksandr Solovev ◽  
Elena Reingold
Keyword(s):  
Internet Of Things ◽  
Conceptual Framework ◽  
New Technologies ◽  
The Internet ◽  
Suggested Approach ◽  
Socioeconomic Environment ◽  
History Of ◽  
Processing And Storage ◽  
And Storage ◽  
The Internet Of Things

Dramatical changes in society’s infrastructure require new conceptual approaches towards the research of socioeconomic phenomena. Nowadays, environment surrounding people experience qualitative changes; it has become possible to use full information on the history of objects. It is essential to develop a conceptual framework enabling to thoroughly describe the interaction of an individual and a socioeconomic environment that is changed by digital technologies. In this article, it is suggested to use the concept of socioeconomic technology in the context of exploration of digitalization processes. These include the Internet of things, big data processing, widespread implementation of personal tools to process and share information etc. The concept of socioeconomic technology allows tying up new technologies with the needs of an individual and society as well as with phenomena emerging in socioeconomic infrastructure. The suggested approach may be used at the development and implementation of the Internet of things, of global communication infrastructure, of technologies for processing and storage of data, and for the research of other aspects of society’s digitalization. Today it is possible to research different directions for the development of consumption sphere and technologies taking into account the emergence of virtual properties of objects. Virtual properties result for example in multiple ways to implement things, in the possibility to store and use the full history of major objects surrounding an individual. Conceptual framework suggested in this article allows holistically addressing the issues of commercial efficiency and socioeconomic management in the age of digitalization.

scholarly journals A Study of Moving from Cloud Computing to Fog Computing

2021 ◽  
Vol 1 (2) ◽  
pp. 60-70
Author(s):  
Hindreen Rashid Abdulqadir ◽  
Subhi R. M. Zeebaree ◽  
Hanan M. Shukur ◽  
Mohammed Mohammed Sadeeq ◽  
Baraa Wasfi Salim ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Fog Computing ◽  
The Internet ◽  
Limited Capacity ◽  
Network Failure ◽  
Computing Paradigm ◽  
Processing And Storage ◽  
And Storage ◽  
The Internet Of Things

The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure. Cloud computing and Fog computing carry the cloud closer to IoT computers in order to overcome these problems. Cloud and Fog provide IoT processing and storage of IoT items locally instead of sending them to the cloud. Cloud and Fog provide quicker reactions and better efficiency in conjunction with the cloud. Cloud and fog computing should also be viewed as the safest approach to ensure that IoT delivers reliable and stable resources to multiple IoT customers. This article discusses the latest in cloud and Fog computing and their convergence with IoT by stressing deployment's advantages and complexities. It also concentrates on cloud and Fog design and new IoT technologies, enhanced by utilizing the cloud and Fog model. Finally, transparent topics are addressed, along with potential testing recommendations for cloud storage and Fog computing, and IoT.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

scholarly journals Determination of the Chemical Composition of Tea by Chromatographic Methods: A Review

2015 ◽  
Vol 4 (3) ◽  
pp. 56 ◽  
Author(s):  
Alexandr Ya Yashin ◽  
Boris V. Nemzer ◽  
Emilie Combet ◽  
Yakov I. Yashin
Keyword(s):  
Chemical Composition ◽  
Volatile Compounds ◽  
Black Tea ◽  
Storage Conditions ◽  
Organoleptic Evaluation ◽  
Chromatographic Methods ◽  
Tea Quality ◽  
Processing And Storage ◽  
And Storage

<p>Despite the fact that mankind has been drinking tea for more than 5000 years, its chemical composition has been studied only in recent decades. These studies are primarily carried out using chromatographic methods. This review summarizes the latest information regarding the chemical composition of different tea grades by different chromatographic methods, which has not previously been reviewed in the same scope. Over the last 40 years, the qualitative and quantitative analyses of high volatile compounds were determined by GC and GC/MS. The main components responsible for aroma of green and black tea were revealed, and the low volatile compounds basically were determined by HPLC and LC/MS methods. Most studies focusing on the determination of catechins and caffeine in various teas (green, oolong, black and pu-erh) involved HPLC analysis.</p> <p>Knowledge of tea chemical composition helps in assessing its quality on the one hand, and helps to monitor and manage its growing, processing, and storage conditions on the other. In particular, this knowledge has enabled to establish the relationships between the chemical composition of tea and its properties by identifying the tea constituents which determine its aroma and taste. Therefore, assessment of tea quality does not only rely on subjective organoleptic evaluation, but also on objective physical and chemical methods, with extra determination of tea components most beneficial to human health. With this knowledge, the nutritional value of tea may be increased, and tea quality improved by providing via optimization of the growing, processing, and storage conditions.</p>

scholarly journals Post-harvest content of free titratable acids in the grain of proso millet varieties (Panicum milliaceum L.), and changes during grain processing and storage

2010 ◽  
Vol 46 (Special Issue) ◽  
pp. S90-S95 ◽  
Author(s):  
V. Dvořáček ◽  
D. Janovská ◽  
L. Papoušková ◽  
E. Bicanová
Keyword(s):  
Dry Matter ◽  
Slight Modification ◽  
Storage Conditions ◽  
Panicum Miliaceum ◽  
Proso Millet ◽  
Grain Processing ◽  
Sensory Changes ◽  
Processing And Storage ◽  
And Storage

A triennial evaluation of the content of titratable acids (TA) in grain was carried out on 12 varieties of proso millet (<I>Panicum miliaceum </I>L.). The model variety, Mironovskoe 94, harvested in 2004, was used for the monitoring of sensory changes in TA content, in relationship to different storage conditions and the application of different grain processing methods. The Czech state norm (CSN 56 0512-9 1995) Determination of Titratable Acids, with a slight modification, was used as the standard method. The TA contents in dry matter varied between 39 and 78 mmol/kg of grain dry matter, and significant differences between varieties and experimental years were found. The method of proso millet processing had a key role in the final sensitivity to rancidity. The storage conditions had a much lower influence on TA content than the processing technology. The clearly detected sensory changes found in scoured grains corresponded with TA contents within the range of 90 to106 mmol/kg. The monitoring of the TA content can be considered as a suitable tool for the prediction of rancidity processes in millet grains.

scholarly journals ANALYSIS OF THE CONCEPT INTERNET OF THINGS AND THE DYNAMICS OF ITS DEVELOPMENT IN DIFFERENT INDUSTRIES

2020 ◽  
pp. 171-185
Author(s):  
Yuliia Pyrih ◽  
Mykola Kaidan ◽  
Olena Hordiichuk-Bublivska
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Business Models ◽  
Human Life ◽  
Qualitative Change ◽  
Human Condition ◽  
The Internet ◽  
Intelligent Transport System ◽  
And Storage ◽  
The Internet Of Things

The paper considers the concept of "Internet of Things", which is increasingly penetrating into various spheres of human life and contributes to a significant qualitative change in economic, operational and technological processes. The stages of functioning of the Internet of Things and the levels of its architecture are considered. Based on an analysis of a number of literature sources, the IoT has the greatest impact on six industries such as electricity and housing, health, agriculture and livestock, freight transportation and storage, smart city and construction, and manufacturing. A description of the main types of services for each of these industries and the role of the Internet of Things for its development. It is determined that the application of IoT solutions: in energy - allows to reduce the cost of infrastructure operation, prevent serious accidents and increase the efficiency of asset use; in healthcare - provides real-time streaming of data from devices that monitor the human condition, which allows for accurate diagnosis, increase the accuracy of results and optimize the provision of medical care; in agriculture and livestock - allows to significantly increase the efficiency of cultivation and reduce losses of agricultural products by raising awareness in decision-making and the ability to respond quickly to changes in weather, prices, market situation, etc .; for transportation and storage of goods - allows to provide smooth movement of operations and reduction of underutilization of resources for profit maximization; for "smart city" and construction - allows you to fundamentally improve the city's economy, improve living standards and public safety through more efficient management of housing and communal services, transport and services for the population; for industrial production - allows you to optimize production processes, modify business models, as well as increase productivity and efficiency, while reducing costs. The scheme of intelligent transport system for the city of Kyiv is presented.

scholarly journals COVID-19 Effects and Resilience of Vegetable Farmers in North-Western Nigeria

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1808
Author(s):  
Rosaine N. Yegbemey ◽  
Christelle M. Komlan Ahihou ◽  
Ifeoluwa Olorunnipa ◽  
Marwan Benali ◽  
Victor Afari-Sefa ◽  
...  
Keyword(s):  
Coping Strategies ◽  
Smallholder Farmers ◽  
Added Value ◽  
Vegetable Production ◽  
Probit Regression ◽  
Cross Sectional ◽  
Individual Interviews ◽  
Processing And Storage ◽  
And Storage ◽  
North Western

The COVID-19 pandemic has particularly affected the supply of perishable foods such as vegetables, which could adversely affect food and nutrition security. Here, we study the mechanisms by which COVID-19 has affected vegetable production and the coping strategies adopted by smallholder farmers. We use cross-sectional data collected through individual interviews on a random sample of 521 vegetable producers in north-western Nigeria. The perceptions of respondents, measured on a 5-point Likert scale (from 1—not affected, to 5—severely affected), shows that COVID-19 had an average effect of 3.07 (±1.23) on vegetable production. Farmers also reported challenges in accessing farm inputs and storing or selling fresh vegetable produced. In response, farmers reduced market-oriented vegetable production, produced more vegetables for own consumption, added value through own home processing and storage, explored new markets, and accepted lower farmgate selling prices. A multivariate probit regression shows that socio-economic factors such as age, household size, marital status, challenges in accessing inputs, and perceptions of the effects of COVID-19 influenced farmers’ decisions to adopt particular coping strategies. To sustain vegetable supplies, policy makers should consider investing more in market-oriented strategies such as vegetable processing and storage, which individual farmers may not be able to afford due to high costs, lack of information and required knowledge on good agronomic practices, postharvest handling, storage and market. Public extension services can contribute to help farmers to adapt better.

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