
Rimvydas SimutisKaunas University of Technology · Department of Automation
Rimvydas Simutis
habil.dr prof
About
171
Publications
55,989
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,842
Citations
Introduction
Research Interest:
System modeling and control, Advanced automatic control systems, Computational Intelligence, Bio-process Control Systens
Publications:
http://scholar.google.com/citations?user=eVg8uO8AAAAJ
Additional affiliations
January 1998 - November 2014
January 1992 - June 1998
Publications
Publications (171)
Accurate estimations of the concentrations of soluble compounds are crucial for optimizing bioprocesses involving Escherichia coli (E. coli). This study proposes a hybrid model structure that leverages off-gas analysis data and physiological parameters, including the average biomass age and specific growth rate, to estimate soluble compounds such a...
This study developed an estimation routine for counting the viable cells in an in vitro fed-batch Chinese hamster ovary cultivation that relies on off-gas information and inlet gas mixture knowledge. We computed the oxygen uptake rate bound to the bioreactor exhaust gas outlet when the inlet gas mixture was stationary. Our mammalian biosynthesis an...
The article proposes a combined control scheme for the control of the important bioprocess variables that can be relatively easily implemented in industrial bioreactors and provides opportunities to significantly improve the quality of the basic control systems. The proposed combined control scheme includes feedback PI controller, feedforward compe...
The cell cultivation process in a bioreactor is a high-value manufacturing process that requires excessive monitoring and control compatibility. The specific cell growth rate is a crucial parameter that describes the online quality of the cultivation process. Most methods and algorithms developed for online estimations of the specific growth rate c...
This study presents a mathematical model of recombinant protein expression, including its development, selection, and fitting results based on seventy fed-batch cultivation experiments from two independent biopharmaceutical sites. To resolve the overfitting feature of the Akaike information criterion, we proposed an entropic extension, which behave...
This article presents a comparative study on the development and application of two distinct adaptive control algorithms for biomass specific growth rate control in fed-batch biotechnological processes. A typical fed-batch process using Escherichia coli for recombinant protein production was selected for this research. Numerical simulation results...
This contribution discusses the main challenges related to successful application of automatic control systems used to control specific growth rate in industrial biotechnological processes. It is emphasized that, after the implementation of basic automatic control systems, primary attention shall be paid to the specific growth rate control systems...
To date, practical application of mathematical models for model-based design of stem cell expansion processes is limited. Nevertheless, the first attempts show vast potential of this approach for the improvement of expansion process performance. This article presents the developed dynamic kinetic model of the human induced pluripotent stem cell exp...
Mathematical modeling is the language by which engineers express their process knowledge. Preferentially it is based on physical insight and experience from the examination of concrete process data. Emphasis is put on the importance of measurement data for developing realistic models. Where mechanistic models are not yet possible, data‐driven model...
For historic reasons, industrial knowledge of reproducibility and restrictions imposed by regulations, open-loop feeding control approaches dominate in industrial fed-batch cultivation processes. In this study, a generic gray box biomass modeling procedure uses relative entropy as a key to approach the posterior similarly to how prior distribution...
Difficulty in communicating is one of the key challenges for people suffering from severe motor and speech disabilities. Often such person can communicate and interact with the environment only using assistive technologies. This paper presents a multifunctional user interface designed to improve communication efficiency and person independence. The...
Background: An accurate and automatic computer-aided multi-class decision support system to classify the magnetic resonance imaging (MRI) scans of the human brain as normal, Alzheimer, AIDS, cerebral calcinosis, glioma, or metastatic, which helps the radiologists to diagnose the disease in brain MRIs is created. Methods: The performance of the prop...
An improved state estimation technique for bioprocess control applications is proposed where a hybrid version of the Unscented Kalman Filter (UKF) is employed. The underlying dynamic system model is formulated as a conventional system of ordinary differential equations based on the mass balances of the state variables biomass, substrate, and produc...
Implementation of model-based practices for process development, control, automation, standardization, and validation are important factors for therapeutic and industrial applications of human pluripotent stem cells. As robust cultivation strategies for pluripotent stem cell expansion and differentiation have yet to be determined, process developme...
A control system for set-point control of microbial cultivation process parameters is developed, in which a tendency model is applied for controller adaptation to process nonlinearity and time-varying operating conditions. The tendency model is updated on-line and introduced into control algorithm for prediction of steady-state control action and r...
This paper describes in detail the design of the specialized text predictor for patients with Huntington’s disease. The main aim of the specialized text predictor is to improve the text input rate by limiting the phrases that the user can type in. We show that such specialized predictor can significantly improve text input rate compared to a standa...
Product sales forecasting is crucial task in inventory control and whole supply chain management. Accuracy of sales forecasting determines product logistics performance. In this paper we present study that aims to answer three questions: what input set is most informative for daily sales time series forecasting; do weather input features improve fo...
Product sales forecasting is crucial task in inventory control and whole supply chain management. Accuracy of sales forecasting determines product logistics performance. In this paper we present study that aims to answer three questions: what input set is most informative for daily sales time series forecasting; do weather input features improve fo...
This paper describes the architecture of the open source text prediction package Presage. We trained the n-gram model used in the text predictor for Lithuanian language. The predictor was trained and evaluated using sixteen Lithuanian literature books. Each book was split into training and test sets containing 30 % and 70 % of words. The trained te...
Product sales forecasting is crucial task in inventory control and whole supply chain management. Accuracy of sales forecasting determines product logistics performance. In this paper we present study that aims to answer three questions: what input set is most informative for daily sales time series forecasting; do weather input features improve fo...
This paper describes in detail the implementation of the multimodal user interface for people with disabilities. The user interface can be used with multiple sensors such as eye tracker, brain wave scanner, speech recognizer and sip/puff device. The system makes it possible to use multiple sensors simultaneously or disable some sensors. New sensors...
Good ATM network cash management requires accurate information of future cash demand. In this paper we compare computational intelligence models when performing cash flow forecasting for one day. Adaptive input selection and model parameter identification are used with every forecasting model in order to perform more flexible comparison. Experiment...
The performance of bioreactors is not only determined by productivity but also by process quality, which is mainly determined by variances in the process variables. As fluctuations in these quantities directly affect the variability in the product properties, combatting distortions is the main task of practical quality assurance. The straightforwar...
An inferential control system has been developed for off-gas analysis-based control of fed-batch microbial cultivation process to follow a desired biomass growth trajectory, which is an important objective in many cultivation processes. The control system exploits an original specific growth rate estimator from the oxygen uptake rate on-line measur...
ABSTRACT.The rapid development of information-oriented society and its environment launches a lot of challenges in the finance and investment management areas. Nowadays, the investors need intellectual information system that combines all-in-one solution, i. e., combines the management of both data-based information and knowledge related to financi...
Heterologous protein production often causes a significant metabolic burden in Escherichia coli cells which manifests itself in a substantial decrease in their physiological characteristics such as the maximal specific growth rate on a given substrate, the maximal substrate uptake rate as well as the maximal specific oxygen uptake rate. In high-cel...
While data-based modeling is possible in various ways, data-based optimization has not been previously described. Here we present such an optimization technique. It is based on dynamic programming principles and uses data directly from exploratory experiments where the influence of the adjustable variables u were tested at various values. Instead o...
Improving the performance of their bioreactors is a continuous distinguished task of process engineers for the entire lifetime of their processes. In this paper new developments which help to improve the performance of bioreactors for recombinant protein formation are reviewed. In order to judge the performance of a cultivation process an important...
This paper proposes a bioprocess optimization procedure based on Relevance Vector Regression models and evolutionary programming technique. Relevance Vector Regression scheme allows developing a compact and stable data-based process model avoiding time-consuming modeling expenses. The model building and process optimization procedure could be done...
This paper deals with advanced state estimation algorithms for estimation of biomass concentration and specific growth rate in a typical fed-batch biotechnological process. This biotechnological process was represented by a nonlinear mass-balance based process model. Extended Kalman Filter (EKF) and Particle Filter (PF) was used to estimate the unm...
In this paper we present the architecture of the multifunctional user interface for paralyzed people. The system has multiple input modules such as voice recognition, eye tracking, pressure sensor and brain computer interface module. The input modules can be prioritized depending on the abilities of the user. The system contains a dynamic menu that...
The researchers of BioVal project used the activated sludge process mathematical model with the goal to develop and test a control system for autotrophic biomass specific growth rate. The article describes the implementation of the biological wastewater treatment process model and control system into software SIMULINK (MATLAB). By means of the acti...
This work analyses dimensionality issues in automated trading portfolio construction. We suggest the best risk/return portfolio creation schema for automated trading. Study shows that effectiveness of standard portfolio weight calculation rules depends on the dimensionality and sample size ratio. To solve sample size problem a multistage multi-agen...
By means of improved feedback control kLa measurements become possible at a precision and reproducibility that now allow a closer look at the influences of power input and aeration rate on the oxygen mass transfer. These measurements are performed online during running fermentations without a notable impact on the biochemical conversion processes....
This paper presents a passengers counting system based on computer vision. System prototype were created and installed in Kaunas public city transport. Four algorithms were created to calculate passengers on public transport and their advantages and disadvantages were analyzed. Qualitative detection algorithms analysis carried out. Promising result...
The main goal of this work was prototyping hardware system for the counting of moving objects, port it to a low cost embedded Linux platform, and evaluate the recognition accuracy (count accuracy) in static and dynamic background environments, performance (we target a real-life processing), as well as the power consumption in real-life applications...
In this article, application of state estimation techniques for indirect measurement of biomass concentration and specific growth rate in a typical fedbatch biotechnological process is discussed. Two stateof- the-art algorithms were implemented: Extended Kalman Filter (EKF) and feed-forward artificial neural networks (ANN) of various structures. Ox...
In compliance with the FDA’s PAT initiative a holistic Bioreactor Control Toolbox is presented. The proposed tools are developed for monitoring and controlling bacterial and mammalian cell cultures and are based on the real-time distributed control system SIMATIC PCS 7.
The toolbox is a structure of ready to-use applications on the basis of program...
By means of a model predictive control strategy it was possible to ensure a high batch-to-batch reproducibility in animal cell (CHO-cell) suspensions cultured for a recombinant therapeutic protein (EPO) production. The general control objective was derived by identifying an optimal specific growth rate taking productivity, protein quality and proce...
Face identification system recognizes an individual by matching the input image against images of all faces in a database and finding the best match. Usually face matching is carried out in two steps: during the first step detection of a face in a complex background (various lightning condition) and localization of its exact position is done, and i...
Authors suggest an approach of a multimodal controller based on a client-server architecture running on a x86 Windows server platform connected to the USB I/O hardware interface and capable of remote control via web application using speech commands, touch gestures or gaze tracking. The paper presents the state-of-art situation, the proposed archit...
This paper presents the technical characteristics of Texas Instrument DM3730 embedded platform when performing video information processing tasks. To measure the system performance some new Python and OpenCV tests are proposed. This allows to evaluate realistic platforms ability to collect and preprocess video information. Also, thermal analyses of...
S. Sinkevicius, R. Simutis, V. Raudonis. Monitoring of Humans Traffic using Hierarchical Temporal Memory Algorithms // Electronics and Electrical Engineering. - Kaunas: Technologija, 2011. - No. 9(115). - P. 91-96. The main purpose of this paper is to investigate the application of Hierarchical Temporal Memory (HTM) mechanism for humans traffic cal...
This article presents a research on a method for credit risk evaluation combining expert majority-based ensemble voting scheme together with discriminant analysis as basis for expert formation and popular machine learning techniques for classification, such as decision trees, rule-based inducers and neural networks. Both single expert and multiple...
An new cascade control system is presented that reproducibly keeps the cultivation part of recombinant protein production processes on its predetermined track. While the system directly controls carbon dioxide production mass and carbon dioxide production rates along their setpoint profiles in fed-batch cultivation, it simultaneously keeps the spec...
Batch-to-batch reproducibility of animal cell cultures can significantly be enhanced using process control procedures. Most informative signals for advanced process control can be derived from the volume fractions of oxygen and carbon dioxide in the vent line of the reactors. Here we employed simple low-cost sensors, previously not considered for o...
Most serious accidents and injuries often end with various motoric disabilities usually resulting in a limited control of the muscles of various body parts and in some worstcase scenario even the whole body. The associated governmental support programs of today are targeted at providing the technological means enabling the handicapped persons to ha...
A very simple but effective process control technique is proposed that leads to a high batch-to-batch reproducibility with respect to biomass concentration as well as the specific biomass growth rate profiles in E. coli fermentations performed during recombinant protein production. It makes use of the well-established temperature controllers in cur...
Face detection and recognition is challenging problem in image analysis and computer vision. In the last few years it has received a great attention because of its many applications based on various methods, in different fields such as law enforcement, security and so on. Face detection can be broadly divided into three categories based on the face...
Cell cultures must tightly be kept under control in order to guarantee a sufficiently small variability in the protein product quality. A simple and efficient technique for CHO-cell cultures is presented that allows keeping the viable cell count X(v) and the specific growth rate μ of the cells on predefined trajectories. As X(v) and μ cannot direct...
In an industrial production environment, cultivation processes for the production of recombinant proteins run along predefined trajectories. Feedback control is the best way to keep the cultures on track. However, feedback controllers require accurate on-line values of the controlled variables. To assess whether the measurement signals are correct,...
The paper present the fuzzy logic expert system called MADSYS for an investor's portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent (agents) of multiagent investment management information system. One of the principal tasks of the multi-agent system is to help an investor to make investment decisions a...
The paper presents the development and modeling of an intelligent multimodal interface for the smart, assisted mobility devices. The algorithm integrates latest technologies in speech, video, sensory, robotics, artificial intelligence, path finding and other areas, for one unified purpose - the creation of modular, multimodal control, capable of ea...
This paper presents an approach to cash management for automatic teller machine (ATM) network. This approach is based on an artificial neural network to forecast a daily cash demand for every ATM in the network and on the optimization procedure to estimate the optimal cash load for every ATM. During the optimization procedure, the most important fa...
In order to guarantee the quality of recombinant therapeutic proteins produced in mammalian cell systems, the straightforward approach in industry is to run the processes as reproducible as possible. It is first shown that considerable distortions in the currently operated processes appear when the initial cell density deviates from its nominal val...
Various mechanistic and black-box models were applied for on-line estimations of viable cell concentrations in fed-batch cultivation processes for CHO cells. Data from six fed-batch cultivation experiments were used to identify the underlying models and further six independent data sets were used to determine the performance of the estimators. The...
Recombinant proteins produced in Escherichia coli hosts may appear within the cells' cytoplasm in form of insoluble inclusion bodies (IB's) and/or as dissolved functional protein molecules. If no efficient refolding procedure is available, one is interested in obtaining as much product as possible in its soluble form. Here, we present a process eng...
A model-aided process design and supervision technique is proposed. Its efficiency is demonstrated by a nontrivial example, the development of a production process for the light chain of the antibody MAK33. This protein was expressed by the genetically modified E. coli B pUBS520 p12023 bacteria under the control of the tac promoter where lactose wa...
In this paper intuitive environment is proposed, image processing software was connected with eye tracking system in order to wirelessly control electric devices. The system use web-cam mounted to wheelchair. Accordingly a set of special markers was designed, each marker means a different device such as doors, window, light and etc. Markers are rec...
Investment management is a complex and integrated task. This article introduces a multi-agent stock assessment system that helps to take investment decisions and researches one of the most important issues for the system -how to assess an investor risk tolerance, because system structure, system proposal structure and reliability depend on this ass...
Real time human computer interface system based on gaze tracking is presented in this work. The presented system is relatively inexpensive and is easily adapted, which makes it affordable for persons in need. The price of the gaze tracking system is reduced using an ordinary VGA camera, which is attached to glasses. The camera is directed to the us...
One of the main goals of diammonium phosphate (DAP) fertilizer granulation is to produce particles within a strictly defined size range. The information on the number and size of initial granules, the moisture content of the slurry and drying ratio is required to predict the volume and mass of the slurry to be sprayed. In practice information conce...
In the control of autonomous mobile robots there exist two types of control: global control and local control. The requirement to solve global and local tasks arises respectively. This chapter concentrates on local tasks and shows that robots can learn to cope with some local tasks within minutes. The main idea of the chapter is to show that, while...
The novel technology, which is dedicated to assist the person with disabilities, is presented in the work. It is the discrete eye tracking system which recognizes the users command from voluntary controlled eye motion. The user wears the head mounted device, which consist of glasses with fixed on it video camera. The system was tested with three on...
Recently many authors have been concerned with the problem of cooperation between autonomous mobile robots. In this paper, we present a communication structure which is a part of holonic communication structure in the team of cooperative autonomous mobile robots. To implement the proposed cooperation between autonomous mobile robots the developed U...
A simple well-performing adaptive control technique for pH control in fermentations of recombinant protein production processes is described and its design procedure is explained. First, the entire control algorithm was simulated and parameterized. Afterwards it was tested in real cultivation processes. The results show that this simple technique l...
Early detection of the unexpected behavior of the automatic teller machine (ATM) is crucial for efficient functioning of ATM
networks. Because of the high service costs it is very expensive to employ human operators to supervise all ATMs in an ATM
network. This paper proposes an automatic identification procedure based on PCA models to supervise co...
The tracking problem of the non-rigid object has two difficulties. First, the object can change his scale, form or be partially occluded with other objects and, second, the location of the object can vary in the non-linear manner during the time. The paper considers the method, which solves given problem of the object tracking in the complex backgr...
The article analyzes the problems of optimization and management of ATM (Automated Teller Machine) network system, related to minimization of operating expenses, such as cash replenishment, costs of funds, logistics and back office processes. The suggested solution is based on merging up two different artificial intelligence methodologies - neural...
The paper presents the model-based approach to process simulation and advanced control in the industrial granulation circuit of fertilizer production. Different knowledge sources, such as physical phenomena, statistical analysis of process parameters, expert information cover different cognition domains of the process. The mechanistic growth model...
The article presents the self-service systems quality management and evaluation framework. The framework describes three groups of imperatives aimed to ensure sustainable service provision for self-service banking clients by increasing quality of the operational, re-source and marketing services. As the outcome of the research, based on principal c...