scholarly journals Incorporating a Local Binary Fitting Model into a Maximum Regional Difference Model for Extracting Microscopic Information under Complex Conditions

2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Chunyan Yao ◽  
Jianwei Zhang ◽  
Min Chen ◽  
Qiu Guan ◽  
Massimo Scalia
Keyword(s):  
Regional Difference ◽  
Driving Forces ◽  
Cell Segmentation ◽  
The Novel ◽  
Difference Model ◽  
Intensity Information ◽  
Local Binary Fitting Model ◽  
Novel Model ◽  
Fitting Model ◽  
Global Fitting

This paper presents a novel region-based method for extracting useful information from microscopic images under complex conditions. It is especially used for blood cell segmentation and statistical analysis. The active model detects several inner and outer contours of an object from its background. The method incorporates a local binary fitting model into a maximum regional difference model. It utilizes both local and global intensity information as the driving forces of the contour model on the principle of the largest regional difference. The local and global fitting forces ensure that local dissimilarities can be captured and globally different areas can be segmented, respectively. By combining the advantages of local and global information, the motion of the contour is driven by the mixed fitting force, which is composed of the local and global fitting term in the energy function. Experiments are carried out in the laboratory, and results show that the novel model can yield good performances for microscopic image analysis.

A multi-objective sparse evolutionary framework for large-scale weapon target assignment based on a reward strategy

2021 ◽  
Vol 40 (5) ◽  
pp. 10043-10061
Author(s):  
Xiaoping Shi ◽  
Shiqi Zou ◽  
Shenmin Song ◽  
Rui Guo
Keyword(s):  
Large Scale ◽  
The Novel ◽  
Genetic Operators ◽  
Multi Objective ◽  
Target Assignment ◽  
Solution Selection ◽  
Battlefield Environment ◽  
Sparse Problems ◽  
Novel Model ◽  
Error Parameter

 The asset-based weapon target assignment (ABWTA) problem is one of the important branches of the weapon target assignment (WTA) problem. Due to the current large-scale battlefield environment, the ABWTA problem is a multi-objective optimization problem (MOP) with strong constraints, large-scale and sparse properties. The novel model of the ABWTA problem with the operation error parameter is established. An evolutionary algorithm for large-scale sparse problems (SparseEA) is introduced as the main framework for solving large-scale sparse ABWTA problem. The proposed framework (SparseEA-ABWTA) mainly addresses the issue that problem-specific initialization method and genetic operators with a reward strategy can generate solutions efficiently considering the sparsity of variables and an improved non-dominated solution selection method is presented to handle the constraints. Under the premise of constructing large-scale cases by the specific case generator, two numerical experiments on four outstanding multi-objective evolutionary algorithms (MOEAs) show Runtime of SparseEA-ABWTA is faster nearly 50% than others under the same convergence and the gap between MOEAs improved by the mechanism of SparseEA-ABWTA and SparseEA-ABWTA is reduced to nearly 20% in the convergence and distribution.

A novel fractional discrete grey model with an adaptive structure and its application in electricity consumption prediction

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yitong Liu ◽  
Yang Yang ◽  
Dingyu Xue ◽  
Feng Pan
Keyword(s):  
Fractional Order ◽  
Electricity Consumption ◽  
Grey Model ◽  
The Novel ◽  
Raw Data ◽  
Content Type ◽  
Power Load ◽  
Grey Models ◽  
Novel Model ◽  
Consumption Prediction

PurposeElectricity consumption prediction has been an important topic for its significant impact on electric policies. Due to various uncertain factors, the growth trends of electricity consumption in different cases are variable. However, the traditional grey model is based on a fixed structure which sometimes cannot match the trend of raw data. Consequently, the predictive accuracy is variable as cases change. To improve the model's adaptability and forecasting ability, a novel fractional discrete grey model with variable structure is proposed in this paper.Design/methodology/approachThe novel model can be regarded as a homogenous or non-homogenous exponent predicting model by changing the structure. And it selects the appropriate structure depending on the characteristics of raw data. The introduction of fractional accumulation enhances the predicting ability of the novel model. And the relative fractional order r is calculated by the numerical iterative algorithm which is simple but effective.FindingsTwo cases of power load and electricity consumption in Jiangsu and Fujian are applied to assess the predicting accuracy of the novel grey model. Four widely-used grey models, three classical statistical models and the multi-layer artificial neural network model are taken into comparison. The results demonstrate that the novel grey model performs well in all cases, and is superior to the comparative eight models.Originality/valueA fractional-order discrete grey model with an adaptable structure is proposed to solve the conflict between traditional grey models' fixed structures and variable development trends of raw data. In applications, the novel model has satisfied adaptability and predicting accuracy.

Assessing Bypassed Hydrocarbons

2021 ◽  
Author(s):  
Stanley Oifoghe ◽  
Nora Alarcon ◽  
Lucrecia Grigoletto
Keyword(s):  
Continental Shelf ◽  
Reservoir Characterization ◽  
Gamma Ray ◽  
West African ◽  
The Novel ◽  
The West ◽  
Present Case Study ◽  
Novel Model

Abstract Hydrocarbons are bypassed in known fields. This is due to reservoir heterogeneities, complex lithology, and limitations of existing technology. This paper seeks to identify the scenarios of bypassed hydrocarbons, and to highlight how advances in reservoir characterization techniques have improved assessment of bypassed hydrocarbons. The present case study is an evaluation well drilled on the continental shelf, off the West African Coastline. The targeted thin-bedded reservoir sands are of Cenomanian age. Some technologies for assessing bypassed hydrocarbon include Gamma Ray Spectralog and Thin Bed Analysis. NMR is important for accurate reservoir characterization of thinly bedded reservoirs. The measured NMR porosity was 15pu, which is 42% of the actual porosity. Using the measured values gave a permeability of 5.3mD as against the actual permeability of 234mD. The novel model presented in this paper increased the porosity by 58% and the permeability by 4315%.

Rīgas humānistu motīvs Roalda Dobrovenska romānā „Magnus, dāņu princis”

2021 ◽  
pp. 172-180
Author(s):  
Ausma Cimdiņa
Keyword(s):  
Life Story ◽  
Driving Forces ◽  
Historical Narrative ◽  
Human Society ◽  
The Novel ◽  
Historical Sources ◽  
Nation States ◽  
Russian State ◽  
History Of ◽  
Historical Role

The novel “Magnus, the Danish Prince” by the Russian diaspora in Latvia writer Roald Dobrovensky is seen as a specific example of a biographical and historical genre, which embodies the historical experience of different eras and nations in the confrontation of globalisation and national self-determination. At the heart of the novel are the Livonian War and the historical role and human destiny of Magnus (1540–1683) – the Danish prince of the Oldenburg dynasty, the first and the only king of Livonia. The motif of Riga’s humanists is seen both as one of the main ideological driving forces of the novel and as a marginal reflection in Magnus’s life story. Acknowledged historical sources have been used in the creation of the novel: Baltazar Rusov’s “Livonian Chronicle”; Nikolai Karamzin’s “History of the Russian State”; Alexander Janov’s “Russia: 1462–1584. The Beginning of the Tragedy. Notes of the Nature and Formation of Russian Statehood” etc. In connection with the concept of Riga humanists, another fictitious document created by the writer Dobrovensky himself is especially important, namely, the diary of Johann Birke – Magnus’s interpreter, a person with a double identity, “half-Latvian”, “half-German”. It is a message of an alternative to the well-known historical documents, which allows to turn the Livonian historical narrative in the direction of “letocentrism” and raises the issue of the ethnic identity of Riga’s humanists. Along with the deconstruction of the historically documented image of Livonian King Magnus, the thematic structure of the novel is dominated by identity aspects related to the Livonian historical narrative. Dobrovensky, with his novel, raises an important question – what does the medieval Livonia, Europe’s common intellectual heritage, mean for contemporary Latvia and the human society at large? Dobrovensky’s work is also a significant challenge in strengthening emotional ties with Livonia (which were weakened in the early stages of national historiography due to conflicts over the founding of nation-states).

scholarly journals Modeling and Simulation of Thermo-Fluid-Electrochemical Ion Flow in Biological Channels

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Riccardo Sacco ◽  
Fabio Manganini ◽  
Joseph W. Jerome
Keyword(s):  
Driving Forces ◽  
The Novel ◽  
Thermodynamical Equilibrium ◽  
Finite Element Scheme ◽  
Equilibrium Conditions ◽  
Solution Map ◽  
Ion Flow ◽  
Stabilized Finite Element ◽  
A Cell ◽  
Biological Channels

AbstractIn this articlewe address the study of ion charge transport in the biological channels separating the intra and extracellular regions of a cell. The focus of the investigation is devoted to including thermal driving forces in the well-known velocity-extended Poisson-Nernst-Planck (vPNP) electrodiffusion model. Two extensions of the vPNP system are proposed: the velocity-extended Thermo-Hydrodynamic model (vTHD) and the velocity-extended Electro-Thermal model (vET). Both formulations are based on the principles of conservation of mass, momentum and energy, and collapse into the vPNP model under thermodynamical equilibrium conditions. Upon introducing a suitable one-dimensional geometrical representation of the channel,we discuss appropriate boundary conditions that depend only on effectively accessible measurable quantities. Then, we describe the novel models, the solution map used to iteratively solve them, and the mixed-hybrid flux-conservative stabilized finite element scheme used to discretize the linearized equations. Finally,we successfully apply our computational algorithms to the simulation of two different realistic biological channels: 1) the Gramicidin-A channel considered in [12]; and 2) the bipolar nanofluidic diode considered in [45].

scholarly journals CONTROL NOVEL MODEL OF KNEE CPM DEVICE

2009 ◽  
Vol 12 (4) ◽  
pp. 18-29
Author(s):  
Thanh Diep Cong Tu
Keyword(s):  
Weight Ratio ◽  
Artificial Muscle ◽  
Network Control ◽  
Continuous Passive Motion ◽  
The Novel ◽  
Highly Nonlinear ◽  
Cord Injury ◽  
And Control ◽  
Novel Model ◽  
Interesting Alternative

In recent years, CPM - Continuous Passive Motion has been proved to be one of the most effective therapeutic methods for patients who have problems with motion such as spinal cord injury, ankle and knee injury, parkinson and so on. Many commercial CPM devices are found in market but all of them use motors as the main actuators. The lack of human compliance of electric actuators, which are commonly used in these machines, makes them potentially harmful to patients. An interesting alternative, to electric actuators for medical purposes, particularly promising for rehabilitation, is a pneumatic artificial muscle (PAM) actuator because of its high power/weight ratio and compliance properties. However, the highly nonlinear and hysteresis of PAM make it the challenging for design and control. In this study, a PID compensation using neural network control is studied to improve the control performance of the novel model of Knee CPM device.

The Novel Model of Building and Energy Engineering with New Building Materials Based on IPv6 Technology

2013 ◽  
Vol 738 ◽  
pp. 141-144
Author(s):  
Guo Fang Kuang ◽  
Zhao Feng Sun
Keyword(s):  
Building Materials ◽  
High Efficiency ◽  
New Technology ◽  
The Novel ◽  
Ip Address ◽  
Construction Engineering ◽  
Encryption And Authentication ◽  
Effective Use ◽  
Novel Model ◽  
Energy Engineering

New building materials variety and yield is developing with hitherto unknown speed, construction engineering development if the effective use of new building materials will be excellent performance of new technology. Novel building materials can significantly reduce the weight of buildings, to promote the light construction structure created the conditions. IPv6 is not only a good solution to the problem of the lack of IP address, but also due to the introduction of encryption and authentication mechanisms to make it a better improvement in the network. The paper presents the novel model of building and energy engineering based on IPv6 technology. Experimental results show that the proposed method has high efficiency.

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