Robust controller for cancer chemotherapy dosage using nonlinear kernel-based error function

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Utkarsha L. Mohite ◽  
Hirenkumar G. Patel

AbstractIt is well-known that chemotherapy is the most significant method on curing the most death-causing disease like cancer. These days, the use of controller-based approach for finding the optimal rate of drug injection throughout the treatment has increased a lot. Under these circumstances, this paper establishes a novel robust controller that influences the drug dosage along with parameter estimation. A new nonlinear error function-based extended Kalman filter (EKF) with improved scaling factor (NEF-EKF-ISF) is introduced in this research work. In fact, in the traditional schemes, the error is computed using the conventional difference function and it is deployed for the updating process of EKF. In our previous work, it has been converted to the nonlinear error function. Here, the updating process is based on the prior error function, though scaled to a nonlinear environment. In addition, a scaling factor is introduced here, which considers the historical error improvement, for the updating process. Finally, the performance of the proposed controller is evaluated over other traditional approaches, which implies the appropriate impact of drug dosage injection on normal, immune and tumor cells. Moreover, it is observed that the proposed NEF-EKF-ISF has the ability to evaluate the tumor cells with a better accuracy rate.

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Utkarsha L. Mohite ◽  
Hirenkumar G. Patel

AbstractObjectivesThe main aim of this work is to introduce a robust controller for controlling the drug dosage.MethodsThe presented work establishes a novel robust controller that controls the drug dosage and it also carried out parameters estimation. Along with this, a Regularized Error Function-based EKF (REF-EKF) is introduced for estimating the tumor cells that could be adapted for different conditions. It also assists in solving the overfitting problems, which occur during the drug dosage estimation. Moreover, the performance of the adopted controller is compared over other conventional schemes, and the attained outcomes reveal the appropriate impact of drug dosage injection on immune, normal, and tumor cells. It is also ensured that the presented controller does a robust performance on the parameter uncertainties. Moreover, to enhance the performance of the proposed system and for fast convergence, it is aimed to fine-tune the initial state of EKF optimally using a new Improved Gray Wolf Optimization (GWO) termed as Adaptive GWO (AGWO). Finally, analysis is held to validate the betterment of the presented model.ResultsThe outcomes, the proposed method has accomplished a minimal value of error with an increase in time, when evaluated over the compared models.ConclusionsThus, the improvement of the proposed REF-EKF-AGWO model is proved from the attained results.


2020 ◽  
pp. 26-34
Author(s):  
Nataliia Smochko

The purpose of this research work is to analyze modern theoretical and methodological approaches to the study of territorial systems of monodevelopment in the theory of social geography. Method. General scientific methods, including analysis, scientific synthesis, analytical method, methods of comparison and generalization were used in the study. Scientific novelty. The article reveals traditional and innovative approaches to identifying and defining the territorial system of mono-development in the geographical space. In substantiating the application of approaches, we used the work of scientists and geographers, who took them into account in the study of complex systems. It has been determined that the leading and traditional approaches in socio-geographical research are historical-geographical (retrospective) and territorial (geospatial), which should be combined with genetic. According to which all geographical phenomena have been considered as processes that have their genesis, dynamics, differences, patterns spatial distribution. To study the processes of system formation, a comprehensive approach is important. It provides a comprehensive analysis of the development of the main factors in the formation of modern socio-economic processes in the regions. The system approach allows to consider functioning and development of the territorial monosystem and its basic types as systems of the territorial organization of a society at various hierarchical levels, to open their integrity and the mechanisms providing effective management of such monodevelopment. At the same time, it has been found that not all the outlined approaches of complex systems can be used to study monosystems in the form in which they were used previously. This is because in the study of systems in retrospect, the application of approaches was focused on the analysis of the structure of the studied objects and the variety of processes that took place between the elements of the studied systems. In the study of monosystems, the researcher should be interested in their development to bifurcation moments and the conditions for further preservation of monosystems. This means that traditional approaches, such as historical-geographical (retrospective) and territorial (geospatial) should be modified to adapt to these tasks. It is important to use innovative approaches: cluster (formation of so-called network structures), behaviorist (explanation of the territorial identity of the monosystem), participatory (strategic planning of the territorial development of the monosystem). Only by combining a variety of approaches will it be possible to obtain a synergistic effect and form a synergistic approach that will provide additional benefits in the study of monosystems and the processes of their functioning. Practical meaning. The results of this study contribute to a deeper socio-geographical understanding of the processes of monodevelopment, their genesis, features of their course and provide an opportunity to model the long-term development of territorial social systems, to achieve expected results due to long-term transformation. They can be used for further study of monosystems of different hierarchical levels, as well as for the development of practical recommendations and programs for the development of individual monoterritories.


2014 ◽  
Vol 998-999 ◽  
pp. 1737-1740
Author(s):  
Cheng Xi Shang

With the development of modern science and information technology, the multimedia technology has been widely used in diverse fields. Specially, it plays an important role in medical chemistry teaching. Reviewing the history of its application in medical chemistry teaching in the past twenty years, we find that multimedia teaching is proved a better choice compared to traditional approaches for its scientific, advanced, vivid and visual features. However, with the popularization of multimedia education technology, there are some opinions about its deficiencies, such as information overmuch, multimedia offside, courseware content, etc. Hence, it is crucial for us to overcome the disadvantages existing in multimedia teaching and fully utilize its benefits. Based on the previous research work, some significant discussions and suggestions on multimedia technology application in medical chemistry teaching are presented in this paper.


2010 ◽  
Vol 20-23 ◽  
pp. 215-219 ◽  
Author(s):  
Chuan Wei Zhang

This paper discusses different drive control methods of electric vehicle (EV), presents the design of H∞ robust controller for driving control, with the consideration of protecting the battery. Research work is done under different conditions namely variable battery voltage and variable load rotational inertia separately. Experiments show that the H∞ robust controller has better performance than the PID controller in both steady-state tracking error and response speed. Moreover, the H∞ robust controller can improve the drive range of electric vehicle.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 4055-4055
Author(s):  
D. Wiese ◽  
S. Saha ◽  
M. Ghanem ◽  
B. Yestrepsky ◽  
M. Patel ◽  
...  

4055 Background: SLN mapping (M) accurately stages many solid tumors including CRca. SLNs are 3–5 times more likely to have metastases (mets) when ultrastaged by microsections and IHC as compared to non-SLNs examined by standard pathological methods. It is unknown whether ultrastaging of initially -ve non-SLNs would lead to higher incidence of +ve nodes. Hence, we retrospectively analyzed all initially -ve non-SLNs by microsections and IHC similar to SLNs in CRca patients (pts) undergoing SLNM to determine its impact on final nodal staging. Methods: All CRca pts underwent SLNM by circumferential subserosal injection of 1% lymphazurin. First 1–4 blue nodes were marked as SLNs and ultrastaged by 4 section with H&E and 1 with IHC. All non-SLNs were initially examined by single H& E section and initial staging was made as per AJCC criteria. We re-examined all initially -ve non-SLNs similar to the SLNs by a senior pathologist blinded to prior results. Results: There were 156 pts with Cca and 44 pts with Rca. SLNM was successful in 100% pts with 94% accuracy rate. A total of 2,755 nodes (13.78/pt) were identified, of which 494 were SLNs and 2,261 were non-SLNs. Nodal positivity was 46% and 16% for Cca and Rca pts respectively. Mets were detected in 20.9% of SLNs vs. 8.6% of non-SLNs (p< 0.0001). The exclusive site of nodal mets was detected in 6.5% of SLNs vs.0.8% of non-SLNs (p< 0.0001). Skip mets were found in 6% of pts. After ultrastaging all initially -ve non-SLNs (n=2,065), only 0.58% (12/2065) nonSLNs became +ve in 12 pts. Of these, 10 pts already had +ve SLNs, hence no change of staging occurred. Only 2/200 pts (1%) with initially -ve non-SLNs were found to have a cluster of tumor cells. Thus, ultrastaging of 2065 initially -ve non-SLNs in 200 pts changed the staging from II to III only in 1% of pts. Conclusions: SLNM is highly accurate in staging CRca. The chance of finding additional mets by ultrastaging of all non-SLNs is extremely low (< 1%), hence of little benefit. Therefore, ultrastaging restricted to SLNs alone will assure accurate staging of CRca. [Table: see text] No significant financial relationships to disclose.


2020 ◽  
Vol 10 (23) ◽  
pp. 8760
Author(s):  
Patrick Piprek ◽  
Michael M. Marb ◽  
Pranav Bhardwaj ◽  
Florian Holzapfel

This study proposes a novel, nonlinear trajectory/path-following controller based on jerk-level error dynamics. Therefore, at first the nonlinear acceleration-based kinematic equations of motion of a dynamic system are differentiated with respect to time to obtain a representation connecting the translation jerk with the (specific) force derivative. Furthermore, the path deviation, i.e., the difference between the planned and the actual path, is formulated as nonlinear error dynamics based on the jerk error. Combining the derived equations of motion with the nonlinear error dynamics as well as employing nonlinear dynamic inversion, a control law can be derived that provides force derivative commands, which may be commanded to an inner loop for trajectory control. This command ensures an increased smoothness and faster reaction time compared to traditional approaches based on a force directly. Furthermore, the nonlinear parts in the error dynamic are feedforward components that improve the general performance due to their physical connection with the real dynamics. The validity and performance of the proposed trajectory/path-following controller are shown in an aircraft-related application example.


Author(s):  
Parita Jain ◽  
Arun Sharma ◽  
Laxmi Ahuja

The agile approach grew dramatically over traditional approaches. The methodology focuses more on rapid development, quick evaluation, quantifiable progress and continuous delivery satisfying the customer desire. In view of this, there is a need for measurement of the agile development process. In this respect, the present research work investigates the inter-relationships and inter-dependencies between the identified quality factors (QF), thereby outlining which of these QF have high driving power and dependence power, working indirectly towards the success of agile development process. This paper proposes a new agile quality model, utilizing an interpretive structural modeling (ISM) approach and the identified factors are classifies using Matriced' Impacts Croise's Multiplication Applique´e a UN Classement (MICMAC) approach. The research findings can significantly impact agile development process by understanding how these QF related to each other and how they can be adopted.


2014 ◽  
Vol 915-916 ◽  
pp. 1032-1037
Author(s):  
Naser M. Elkhmri ◽  
Xiao Xing Li

The goal of this paper is to simulate the bending process of extruded aluminum profile using ABAQUS/CAE software. Bending investigations were conducted using the finite element method. The main contents of research work include simulation software, which give in details the pre-processing steps followed to obtain an accurate model to work on. The computing time is often important, explored some ways to reduce it. The simulation give information about the location of critical areas on the profile after bending; the middle section was targeted since it is the area most deformed. This paper focus on the influence of the die mesh, initial distance, mass scaling factor and time scaling factor on the evolution of the computer time (CT), kinetic energy (KE), stress (SVMises) and strain (peeq) .


2013 ◽  
Vol 295-298 ◽  
pp. 3253-3256
Author(s):  
Liang Kan ◽  
Jiu Zhou Sun ◽  
Dong Zhang

Zhongyuan Oilfield is featured by low gas reservoir pressure, long perforation distance and bad well condition of some wells. Rimming at setting these problems and realizing effective development of the reservoir, research work on enhancing recovery techniques suitable for the reservoir condition was carried out. The optimized fracturing design parameters and operation methods, along with the propping agent slug and the optimal perforation techniques, greatly improved the accuracy rate of fracturing parameters design, the successful operation ratio, and the fracturing effects. By optimizing the low damage fracturing fluid adaptable for different kinds of gas reservoir and adopting techniques such as comprehensive protection, segregated gel breaking and hard closing of fractures in operation, the reservoir damage by the fluid was extremely decreased.


This research work proposed an integrated approach using Fuzzy Clustering to discover the optimal number of clusters. The proposed technique is a great technological innovation clustering algorithm in marketing and could be used to determine the best group of customers, similar items and products. The new approach can independently determine the initial distribution of cluster centers. The task of finding the number of clusters is converted into the task of determining the size of the neural network, which later translated to identify the optimal groups of clusters. This approach has been tested using four business data set and shows outstanding results compared to traditional approaches. The proposed method is able to find without any significant error the expected exact number of clusters. Further, we believe that this work is a business value to increase market efficiency in finding out what group of clusters is more cost-effective.


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