The document discusses various applications of digital and computer measurements in bioprocess control and other industries. It describes how computers are used for logging process data, data analysis, and process control. Specific applications mentioned include using sensors to monitor fermentation processes, microscopes to analyze cell cultures, YSI analyzers to measure analytes in biofuels, and flow cytometry to analyze physical and chemical characteristics of cells. The document also discusses using computer vision and image analysis in food processing, drug development, wastewater treatment, and analyzing lignocellulosic biomass.
A MACHINE LEARNING METHOD FOR PREDICTION OF YOGURT QUALITY AND CONSUMERS PREF...mlaij
Prediction of quality and consumers’ preferences is essential task for food producers to improve their
market share and reduce any gap in food safety standards. In this paper, we develop a machine learning
method to predict yogurt preferences based on the sensory attributes and analysis of samples’ images
using image processing texture and color feature extraction techniques. We compare three unsupervised
ML feature selection techniques (Principal Component Analysis and Independent Component Analysis and
t-distributed Stochastic Neighbour Embedding) with one supervised ML feature selection technique
(Linear Discriminant Analysis) in terms of accuracy of classification. Results show the efficiency of the
supervised ML feature selection technique over the traditional feature selection techniques.
A MACHINE LEARNING METHOD FOR PREDICTION OF YOGURT QUALITY AND CONSUMERS PREF...mlaij
Prediction of quality and consumers’ preferences is essential task for food producers to improve their
market share and reduce any gap in food safety standards. In this paper, we develop a machine learning
method to predict yogurt preferences based on the sensory attributes and analysis of samples’ images
using image processing texture and color feature extraction techniques. We compare three unsupervised
ML feature selection techniques (Principal Component Analysis and Independent Component Analysis and
t-distributed Stochastic Neighbour Embedding) with one supervised ML feature selection technique
(Linear Discriminant Analysis) in terms of accuracy of classification. Results show the efficiency of the
supervised ML feature selection technique over the traditional feature selection techniques.
Two degree of freedom PID based inferential control of continuous bioreactor ...ISA Interchange
This article presents the development of inferential control scheme based on Adaptive linear neural network (ADALINE) soft sensor for the control of fermentation process. The ethanol concentration of bioreactor is estimated from temperature profile of the process using soft sensor. The prediction accuracy of ADALINE is enhanced by retraining it with immediate past measurements. The ADALINE and retrained ADALINE are used along with PID and 2-DOF-PID leading to APID, A2PID, RAPID and RA2PID inferential controllers. Further the parameters of 2-DOF-PID are optimized using Non-dominated sorted genetic algorithm-II and used with retrained ADALINE soft sensor which leads to RAN2PID inferential controller. Simulation results demonstrate that performance of proposed RAN2PID controller is better in comparison to other designed controllers in terms of qualitative and quantitative performance indices.
In this paper, we propose an easy approach of
identification and classification of high calorie snacks for dietary
assessment using machine learning. As an object detection
technique we have use point features matching algorithm to
identify the object of interest from a cluttered scene. After
detecting the object, a Bag of Features (BoF) model is created by
extracting Speed up Robust features (SURF) features. This BoF
model is used to recognize and classify the snacks items of different
categories. We have used three types of snacks images named: Icecream,
Chips and Chocolate for experimental purpose. Depending
on the experimental results our proposed algorithm is able to
detect and classify different types of snacks with around 85%
accuracy.
A MACHINE LEARNING METHOD FOR PREDICTION OF YOGURT QUALITY AND CONSUMERS PREF...mlaij
Prediction of quality and consumers’ preferences is essential task for food producers to improve their
market share and reduce any gap in food safety standards. In this paper, we develop a machine learning
method to predict yogurt preferences based on the sensory attributes and analysis of samples’ images
using image processing texture and color feature extraction techniques. We compare three unsupervised
ML feature selection techniques (Principal Component Analysis and Independent Component Analysis and
t-distributed Stochastic Neighbour Embedding) with one supervised ML feature selection technique
(Linear Discriminant Analysis) in terms of accuracy of classification. Results show the efficiency of the
supervised ML feature selection technique over the traditional feature selection techniques.
A MACHINE LEARNING METHOD FOR PREDICTION OF YOGURT QUALITY AND CONSUMERS PREF...mlaij
Prediction of quality and consumers’ preferences is essential task for food producers to improve their
market share and reduce any gap in food safety standards. In this paper, we develop a machine learning
method to predict yogurt preferences based on the sensory attributes and analysis of samples’ images
using image processing texture and color feature extraction techniques. We compare three unsupervised
ML feature selection techniques (Principal Component Analysis and Independent Component Analysis and
t-distributed Stochastic Neighbour Embedding) with one supervised ML feature selection technique
(Linear Discriminant Analysis) in terms of accuracy of classification. Results show the efficiency of the
supervised ML feature selection technique over the traditional feature selection techniques.
Two degree of freedom PID based inferential control of continuous bioreactor ...ISA Interchange
This article presents the development of inferential control scheme based on Adaptive linear neural network (ADALINE) soft sensor for the control of fermentation process. The ethanol concentration of bioreactor is estimated from temperature profile of the process using soft sensor. The prediction accuracy of ADALINE is enhanced by retraining it with immediate past measurements. The ADALINE and retrained ADALINE are used along with PID and 2-DOF-PID leading to APID, A2PID, RAPID and RA2PID inferential controllers. Further the parameters of 2-DOF-PID are optimized using Non-dominated sorted genetic algorithm-II and used with retrained ADALINE soft sensor which leads to RAN2PID inferential controller. Simulation results demonstrate that performance of proposed RAN2PID controller is better in comparison to other designed controllers in terms of qualitative and quantitative performance indices.
In this paper, we propose an easy approach of
identification and classification of high calorie snacks for dietary
assessment using machine learning. As an object detection
technique we have use point features matching algorithm to
identify the object of interest from a cluttered scene. After
detecting the object, a Bag of Features (BoF) model is created by
extracting Speed up Robust features (SURF) features. This BoF
model is used to recognize and classify the snacks items of different
categories. We have used three types of snacks images named: Icecream,
Chips and Chocolate for experimental purpose. Depending
on the experimental results our proposed algorithm is able to
detect and classify different types of snacks with around 85%
accuracy.
Microorganisms such as bacteria, actinomycetes, and fungi are ubiquitous on our planet. They are widely distributed in soil, water, the human body and other environments. Microorganisms and their activities are of great importance to biogeochemical cycles and to all biological systems. Creative Proteomics provides a one-stop proteomics service from sample collection, protein separation, to protein quantification and bioinformatics analysis. We offer both relative quantification (including iTRAQ, TMT and SILAC) and absolute quantification (such as SRM/MRM and PRM) approaches to help you discover, detect and quantify proteins in a broad array of samples. https://www.creative-proteomics.com/services/proteomics-service.htm
Microorganisms such as bacteria, actinomycetes, and fungi are ubiquitous on our planet. They are widely distributed in soil, water, the human body and other environments. Microorganisms and their activities are of great importance to biogeochemical cycles and to all biological systems. Creative Proteomics provides a one-stop proteomics service from sample collection, protein separation, to protein quantification and bioinformatics analysis. We offer both relative quantification (including iTRAQ, TMT and SILAC) and absolute quantification (such as SRM/MRM and PRM) approaches to help you discover, detect and quantify proteins in a broad array of samples. https://www.creative-proteomics.com/services/proteomics-service.htm
Live and Dead Cells Counting from Microscopic Trypan Blue Staining Images usi...IJECEIAES
Cell counting is a required procedure in biomedical experiments and drug testing. Manual cell counting performed with a hemocytometer is time consuming and individual dependence. This study reportedthe development of a computer-assisted program for trypan blue stained-cell counting using digital image analysis. Images of trypan blue-stained breast cancer cells line were obtained by a microscope with a digital camera. Undesired noise and debris were removed by applying a guided image filter. Color space HSV (Hue, Saturation and Value)conversion and grayscale conversion were performed for distinguishing between live and dead cells. Image thresholding and morphological operators were applied for image segmentation. Live and dead cells were counted after image segmentation and the results were compared with manual counting by three well-experienced counters. The computer-assisted cell counting from thirty-six trypan blue-stained microscopic images had a high correlation coefficient with the live cell results of the experts (r=0.99). The correlation coefficient of the number of dead cells comparing the computer-assisted count and the experts’ count was 0.74. Our approach offers high accuracy (>85%)on counting live cells compared with the experts’ counting. This automated cell counting approach can assist biomedical researchers for both live and dead cells counting.
The students will get a glimpse of industrial bioprocess from this presentation. Additionally, it will help students make the transition from academia to industry.
A biosensor is a compact analytical device incorporating a biological or biologically derived sensing element either associated or integrated within a physicochemical transducer
Here are some slides to discuss about biosensors and their application which we prepared in graduation.
Testing for microbial excursions in pharmaceutical waters has meant lengthy delays due to plate counting or sample preparation requiring stains and reagents. With the application of advanced laser based technology, on-line 7000RMS (Real-time Microbial System) delivers continuous measurement of microbes and inert particles in real time.
Microorganisms such as bacteria, actinomycetes, and fungi are ubiquitous on our planet. They are widely distributed in soil, water, the human body and other environments. Microorganisms and their activities are of great importance to biogeochemical cycles and to all biological systems. Creative Proteomics provides a one-stop proteomics service from sample collection, protein separation, to protein quantification and bioinformatics analysis. We offer both relative quantification (including iTRAQ, TMT and SILAC) and absolute quantification (such as SRM/MRM and PRM) approaches to help you discover, detect and quantify proteins in a broad array of samples. https://www.creative-proteomics.com/services/proteomics-service.htm
Microorganisms such as bacteria, actinomycetes, and fungi are ubiquitous on our planet. They are widely distributed in soil, water, the human body and other environments. Microorganisms and their activities are of great importance to biogeochemical cycles and to all biological systems. Creative Proteomics provides a one-stop proteomics service from sample collection, protein separation, to protein quantification and bioinformatics analysis. We offer both relative quantification (including iTRAQ, TMT and SILAC) and absolute quantification (such as SRM/MRM and PRM) approaches to help you discover, detect and quantify proteins in a broad array of samples. https://www.creative-proteomics.com/services/proteomics-service.htm
Live and Dead Cells Counting from Microscopic Trypan Blue Staining Images usi...IJECEIAES
Cell counting is a required procedure in biomedical experiments and drug testing. Manual cell counting performed with a hemocytometer is time consuming and individual dependence. This study reportedthe development of a computer-assisted program for trypan blue stained-cell counting using digital image analysis. Images of trypan blue-stained breast cancer cells line were obtained by a microscope with a digital camera. Undesired noise and debris were removed by applying a guided image filter. Color space HSV (Hue, Saturation and Value)conversion and grayscale conversion were performed for distinguishing between live and dead cells. Image thresholding and morphological operators were applied for image segmentation. Live and dead cells were counted after image segmentation and the results were compared with manual counting by three well-experienced counters. The computer-assisted cell counting from thirty-six trypan blue-stained microscopic images had a high correlation coefficient with the live cell results of the experts (r=0.99). The correlation coefficient of the number of dead cells comparing the computer-assisted count and the experts’ count was 0.74. Our approach offers high accuracy (>85%)on counting live cells compared with the experts’ counting. This automated cell counting approach can assist biomedical researchers for both live and dead cells counting.
The students will get a glimpse of industrial bioprocess from this presentation. Additionally, it will help students make the transition from academia to industry.
A biosensor is a compact analytical device incorporating a biological or biologically derived sensing element either associated or integrated within a physicochemical transducer
Here are some slides to discuss about biosensors and their application which we prepared in graduation.
Testing for microbial excursions in pharmaceutical waters has meant lengthy delays due to plate counting or sample preparation requiring stains and reagents. With the application of advanced laser based technology, on-line 7000RMS (Real-time Microbial System) delivers continuous measurement of microbes and inert particles in real time.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
1. GROUP 3
AYEBALE CHARITY 20/U/0412
ALEMI ROBERT 20/U/0406
MUHINDI RONALD 20/U/0411
NAKANZI DOREEN NOELINE
NAHUTAHO JOHN
2. APPLICATION OF DIGITAL AND COMPUTER
MEASUREMENTS IN BIOPROCESS CONTROL
The initial use of computers in the 1960s was for modelling fermentation process
control for production of glutamic acid and penicillin production.
There are 3 distinct areas of computer function;
Logging of process data, data analysis and process data
3. Logging of data
It is performed by data acquisition system which has both hardware and software
components
There is an interface between the sensors and the computer the software should
include the computer program for sequential scanning of the sensor signals and the
procedure of data storage
4. Data analysis (reduction of logging data)
Data reduction is performed by the data analysis system, which is a computer
program based on a series of selected mathematical equation.
The analyzed information may the be placed on a print out, fed into data bank or
utilized for process control.
5. Process control
Signals from the computer are fed into pumps, valves or switches via the interface.
There are two types of control;
DDC (Direct Digital Control); It is when the bioprocess (fermenter) is under the direct
control of the computer software.
SSC(Supervisory Set-point control); the use of independent controller to manage all
control functions of a bioprocess (fermenter) and the computer communicates with
the control only to exchange information.
6. GENERAL APPLICATIONS OF
COMPUTERS
Bioprocess control results in increased efficiency , productivity and reproducibility,
reduced costs, improved quality control and reduced environmental pollution.
Sensors and analytical instruments are the primary elements in process control.
Digital and computer measurements ensure that the process operates as designed,
provide optimal environment desired for bioprocesses and are used to enable
correction of changes from steady state performance quickly and reliably.
Computers are used to capture data, track information, maintain databases, graph
data, and work with statistical analysis software
7. In food industry
In food processing, the main objectives are food safety, minimal processing and high
quality products, good instrumentation, appropriate fault detection and reliable real-
time on-line control techniques
8. Food industry cont’d
Computerized systems are used for control functions such as formulation control,
process deviation calculations, process temperature, process pressure, process timing
and container closure examination
Digital imaging method is used for measuring and analyzing color of food surfaces.
The method is affordable and versatile. The images of the food product can be
displayed on computer screen or printed on paper for qualitative analysis of color and
structure. It can also be used for determination of color and structure.
Computer vision system is being used for the detection of defects in fruits like
oranges, olives, sorting of potatoes, online monitoring of baking conditions,
measurement of browning in chips.
9. Food industry cont’d
Used to keep a check on food quality and safety, and to help distinguish between
natural and artificial.
It is also being used for checking the ripening stages of bananas, tomatoes among
others.
Can be used to classify different varieties of cereal grains and check their
adulteration.
10. DRUG DEVELOPMENT
Computer aided drug design is usually used to filter large compound libraries into
smaller sets of predicted active compounds that can be tested experimentally, guide
the optimization of lead compounds, whether to increase its affinity or optimize drug
metabolism
Artificial intelligence can deliver value in small molecule drug discovery in four ways
that is; access to new biology, improved or novel chemistry, better success rates, and
quicker and cheaper discovery processes.
11. Other applications
Real time sensors are used to determine specific physical characteristics such as
temperature, PH value or dissolved oxygen.
Analytical techniques such as spectroscopy have been used to determine the
chemical composition of the media contained in the reactor vessel.
Biosensors are used to diagnose infectious diseases.
In the fermentation industry and in the saccharification process are used to detect
precise glucose concentrations
13. The iLine F microscope
This is a device which is controlled by OsOne software. It can be automated to
perform the following tasks;
Determination of cell viability
Total cell density
Viable cell density
Cell diameter
Sampling of PH measurement and adjustment
Follow the cell growth curve live on the screen
14. The iLine F microscope cont’d
The iLine F microscope provides unique online, noninvasive, dye-free
suspension cell counting via accurate, continuous real-time monitoring.
The algorithms automatically detect different cell quality attributes such as
viability (dead or alive), counting, activation state, and clusters.
The microscope captures holograms of cells as they travel through the
disposable BioConnect fluidics system, which connects the microscope to the
bioreactor.
15.
16. YSI ANALYZERS
YSI has earned a reputation as the gold standard I bio-analytical instruments with
highly accurate sensors and rapid results
It can be used to measure important analytes glucose, lactate etc.
In biofuel sector, YSI analyzer measures xylose and glucose to monitor fermentation
progress in cellulosic ethanol research and also measure residual ethanol during
distillation in production facilities
Digital image processing is significant in
improving the appearance of image to a human
observer, to extract from n image quantitative
information that is not readily apparent to the
eye
17. Selected Applications of Image Analysis
a) Densitometric analysis
It quantifies the concentration of unknown samples using linear or nonlinear relationships
between image colour information and chemical concentration.
Densitometric analysis can be used to indirectly quantify the amount of chemicals through
colour analysis. For example, the amount of anthocyanins from a strawberry cell culture
has been measured by image analysis
18. b) Cell analysis and cell culture monitoring
When cells are being cultured, it is important to monitor the cell concentration, growth,
and physiological state, especially with industrial-scale cell cultures. Image analysis has
been adopted to count cell numbers, to quantify cell morphology, and to measure cell
concentrations.
Image analysis has long been used to analyse the morphology of various complex fungal
mycelia formed during fungal cultivation
Image analysis has also been applied to the cultivation of photosynthetic microorganisms in
a photobioreactor
19. c) Wastewater treatment process
The activated sludge process is one of the most commonly used processes to biologically purify wastewater
Image analysis techniques have been used to investigate this process since quantitative analysis of the
complex morphology of filamentous flocs by direct visual assessment is generally inadequate. To analyse
the morphology of flocs, the floc core and the filamentous parts are separated
from the filamentous flocs by image processing and they are converted into individual binary images.
After extraction of various object parameters, they are used to characterize the state of the wastewater
treatment process
20. d) Lignocellulosic biomass analysis
Lignocellulosic biomass is a renewable resource that is used not only to produce
sugar, lignin, and proteins but also to make a variety of chemically derived
precursors through biotransformation.
Image analysis has been used to examine the content and the morphology of
lignocellulose and its derivatives.
21. Flow Cytometry
Is a standard laser based technology that is used in the detection and measurement
of the physical and chemical characteristics of cells or particles in a homogeneous
fluid mixture. The use of flow cytometry has increased over the years as it provides
rapid analysis of multiple characteristics (both qualitative and quantitative) of the
cells.
The properties that can be measured using this process include a particles size,
granularity and fluorescence integrity
22. Flow Cytometry cont’d
The basic principle of flow cytometry is based on the measurement of light scattered
by particle and the fluorescence observed with these particles are passed in a stream
through a laser beam and the signals from the cells are imaged as the cells transverse
the light source
The camera based imaging flow cytometry uses high CCD camera with a time delay
technique that can detect fluorescence signals without motion blur caused by an
increase in exposure time