Basic Modeling Constructs Research Articles

Construction of Basic Teaching Organization Construction Model under the background of Medical Practitioner qualification Examination in China

The medical practitioner qualification examination serves as an admittance standard to assess the ability of medical graduates to practice medicine in China. Ensuring the quality of medical professionals and selecting talents fairly requires improving the teaching level of medical universities. This paper studies the key concepts, major theories of basic teaching organizations, and investigates the current situation of basic teaching organizations in medical colleges and universities. Intervention measures were taken based on the actual situation of the schools to observe the effectiveness of basic teaching organization and the exam-taking ability of licensed doctors. By utilizing management by objectives (MBO) and learning organization theories, the study constructs a learning basic teaching organization model. This model aims to enhance lecturers' enthusiasm for teaching, teaching ability, and teaching quality while improving the learning attitude, behavior, and exam-taking ability of medical students, the ultimate goal is to increase the passing rate of medical students.

Construction of a Sensory Integration Physical Education Model to Improve Basic Motor Skills in Primary Schools

Background and aims: In the construction of primary schools' basic motor skills sensory integration sports model, the study also entered a new teaching concept model, which is the original physical education curriculum model to deepen the reform, highlighting the health goals of the construction of the curriculum model, the value of which includes physical health, improve mental health, and enhance social resilience of a training model. This paper aims to help Chinese primary school students improve sensory integration disorder and basic motor skills ability in the lower grades of primary school, a physical education model of basic motor skills in primary schools was constructed. Materials and methods: In this study, the questionnaire method and expert interview method were used to collect data from 50 teachers and 1000 first-grade students, and a sample of 390 students and 50 teachers were selected to study the current status of basic motor skills and sensory integration ability of primary school first-grade students and then used Delphi technology, focus groups, and Connoisseurship to determine the basic motor skills sensory integration physical education teaching model in primary schools. Results: The study shows that the experts participating in the study recognize the integration of sensory integration teaching mode and basic motor skills teaching mode, and the basic motor skills sensory integration physical education teaching mode in primary schools is consistent with the standard concept of Chinese physical education and health curriculum, which is an expansion and extension of the teaching content of physical education courses to help students' all-round physical and mental development. Conclusions: The study underscores experts' validation of integrating sensory and motor skills teaching in Chinese primary school physical education. This innovative approach aligns with holistic curriculum goals, promoting students' comprehensive physical and mental development.

Dynamic Analysis of a Prey Predator Model with Holling-Type III Functional Response and Anti-Predator Behavior

The prey-predator model in this article reviews the interaction of two populations with a type III Holling -type III functional response and anti-predator behavior. The dynamic analysis starts by determining the basic model construction assumptions, equilibrium and stability points, and numerical simulations using Python. Dynamic analysis results obtained four equilibrium points with types of stability, namely. which is unstable, which is asymptotically stable , and . Which is stable under certain conditions. The numerical simulation results show double stability at the equilibrium points. and with the anti-predator behavior parameter value . The anti-predator parameter value indicates a change in stability that is only the equilibrium point. Differences in the values of the anti-predator behavior parameters affect changes in system solutions and impact reducing predator populations.

Deep and organizational learning as innovation catalyzer in digital business ecosystems – a scenario analysis on the tourism destination Berlin

PurposeThe below-average innovative capacity of the tourism sector raises the question on the potentials of digital business ecosystems (DBEs) to overcome these shortages at a destination level – especially within a smart city environment. Using the example of the German Capital Berlin, this article aims to discuss both the possibilities and inhibitors of innovative knowledge-creation by building scenarios on one specific design option: the integration of digital deep learning (DL) functionalities and traditional organizational learning (OL) processes.Design/methodology/approachUsing the qualitative GABEK-method, major characteristics of a DBE as resource-, platform- and innovation systems are analyzed toward their interactions with the construction of basic action models (as the basic building blocks of knowledge).FindingsAgainst the background of the research findings, two scenarios are discussed for future evolution of the Berlin DBE, one building on cultural emulation as a trigger for optimized DL functionalities and one following the idea of cultural engineering supported by DL functionalities. Both scenarios focus specifically on the identified systemic inhibitors of innovative capabilities.Research limitations/implicationsWhile this study highlights the potential of the GABEK method to analyze mental models, separation of explicit and latent models still remains challenging – so does the reconstruction of higher order mental models which require a combined take on interview techniques in the future.Originality/valueThe resulting scenarios innovatively combine concepts from OL theory with the concept of DBE, thus indicating possible pathways into a tourism future where the limitations of human learning capacities could be compensated through the targeted support of general artificial intelligence (AI).

Digital Recognition Methods Based on Deep Learning

In this paper, the K-nearest neighbor algorithm and the convolutional neural network will be used to train the handwritten digit recognition model, respectively. To establish a reasonable model structure, and through the training data, the model can learn to reflect ten different handwritten number features and finally give the probability of predicting number corresponding to the likelihood of each number. Taking the learning process of the handwritten numeral recognition algorithm based on deep learning as a clue, from deep learning to convolutional neural network, from simple to deep, the relevant basic concepts, model construction, and training process of deep learning are learned and understood. Finally, the deep learning framework uses MNIST as the training dataset to train a model with high recognition rate and then combines it with Open CV technology to realize the identification of handwritten numbers. A reasonable model structure is used to accurately identify the handwritten numbers in the test set. The neural network of deep learning is established with TensorFlow to realize the classification and recognition of handwritten numbers. Various deep learning methods such as CNN and KNN are learned and compared to complete the construction of deep learning architecture. The MNIST dataset was preprocessed, features extracted, and identified. The program is to complete the training of neural network and the recognition of numbers in the image, the recognition results of deep learning methods used are counted and analyzed, and the recognition rates of two different methods are compared to find ways to optimize these methods and improve the recognition rate.

ПРИМЕНЕНИЕ ГЕНЕТИЧЕСКИХ АЛГОРИТМОВ В КРИПТОГРАФИИ

Currently in the development of computer technologies that ensure information security and information protection, cryptographic methods of protection are widely used. The main tasks in cryptography are the development of new encryption features, difficult to break and repetitive ciphers. To solve that problem, falling into the class of NP-complete ones, algorithms based on natural principles have been used in recent years. These include genetic algorithms (GA), evolutionary methods, swarm intelligence algorithms. In models and algorithms of evolutionary computations, the construction of basic models and rules is implemented, according to which it can change (evolve). In recent years, evolutionary computing schemes have been proposed, including the genetic algorithm, genetic programming, evolutionary programming, and evolutionary strategies. The paper discusses the existing cryptography methods, basic concepts and methods of modern cryptography, the notion of a genetic algorithm, a universal hash function, as well as a hash detection method and a genetic hashing algorithm built on it. A genetic algorithm was implemented in the Golang language, modified for the current problem of finding the optimal hash functions. A detailed description of each stage of the algorithm execution is given. Also, within the framework of the research, a study of the function of the genetic algorithm itself and the genetic hashing algorithm was carried out, evaluating the convergence of the genetic algorithm depending on the input data, and evaluating the possible direction of further research.

Modeling of urban road network traffic carrying capacity based on equivalent traffic flow

The determination of the traffic carrying capacity of road network is of great significance to the scale control of urban vehicles and the control of transportation systems. Existing related works have proposed calculation models and solutions for different application environments. However, these studies have problems such as diversification of capacity definitions, incorrect analysis of factors, and excessive model constraints. In response to these problems, this paper aims to determine the connotation of traffic carrying capacity and put forward a novel calculation model for carrying capacity. Firstly, in-depth analysis found that the key factor affecting the number of vehicles is the service level of road network. Then, the connotation of traffic carrying capacity is clarified, that is, the maximum number of vehicles travelling simultaneously in the road network under a certain service level. Second, based on the definition of carrying capacity and the characterization relationship between average travel speed and service level, the calculation of carrying capacity is transformed into the establishment of relationship between average travel speed and maximum number of vehicles. The construction of this relationship includes five steps, which are proposal of equivalent lane, division of traffic basic units, construction of basic unit travel time model, calculation of basic unit carrying capacity, and calculation of road network carrying capacity. In particular, the proposal of equivalent lane achieves the conversion from intermittent flow to continuous flow, and the abstraction of traffic flow further unifies the operation process into a unified mode of free travel and stacked release. Finally, the VISSIM simulation software is employed to verify and evaluate the proposed models. The results show that the average relative error between the simulated data and the calculated data obtained from the model is -0. 46%. Findings from this study will provide an innovative idea for the evaluation of urban road network performance. It can also provide a basis for urban managers to improve service level of road network and optimize the design of transportation system.

Fast and accurate quantitative business process analysis using feature complete queueing models

Quantitative business process analysis is a powerful approach for analyzing timing properties of a business process, such as the expected waiting time of customers or the utilization rate of resources. Multiple techniques are available for quantitative business process analysis, which all have their own advantages and disadvantages. This paper presents a novel technique, based on queueing models, that combines the advantages of existing techniques, in that it leads to accurate analyses, is computationally inexpensive, and feature complete with respect to its support for basic process modeling constructs. An extensive quantitative evaluation has been performed that compares the presented queueing model to existing queueing models from literature. This evaluation shows that the presented model outperforms existing models with one order of magnitude on accuracy. The resulting queueing model can be used for fast and accurate timing predictions of business process models. These properties are useful in optimization scenarios.

Research on decision support system of ship planning management based on data warehouse

This paper discusses the basic principle, model construction and theoretical framework of a new decision support system based on data warehouse, and applies this method to the data extraction process of shipyard plan management. The practice shows that the method is applicable and reliable in complex engineering systems such as shipyard planning management.

Clafer: unifying class and feature modeling

We present Clafer (class, feature, reference), a class modeling language with first-class support for feature modeling. We designed Clafer as a concise notation for meta-models, feature models, mixtures of meta- and feature models (such as components with options), and models that couple feature models and meta-models via constraints (such as mapping feature configurations to component configurations or model templates). Clafer allows arranging models into multiple specialization and extension layers via constraints and inheritance. We identify several key mechanisms allowing a meta-modeling language to express feature models concisely. Clafer unifies basic modeling constructs, such as class, association, and property, into a single construct, called clafer. We provide the language with a formal semantics built in a structurally explicit way. The resulting semantics explains the meaning of hierarchical models whereby properties can be arbitrarily nested in the presence of inheritance and feature modeling constructs. The semantics also enables building consistent automated reasoning support for the language: To date, we implemented three reasoners for Clafer based on Alloy, Z3 SMT, and Choco3 CSP solvers. We show that Clafer meets its design objectives using examples and by comparing to other languages.

Automated Construction of the Basic Dynamic Models of the Atmospheric Photochemical Systems Using the RADM2 Chemical Mechanism as an Example

The method of automated construction of the basic dynamic models, i.e., mathematically correctly simplified models using a minimum possible set of the dynamic variables, which is necessary for correct description of the spatiotemporal behavior of the atmospheric photochemical systems, is developed. The proposed method is based on numerical search for all the chemical components rapidly evolving near their equilibrium states and sorting out slow families among them, whose characteristic lifetimes turn out to be much longer compared with those of their components. The method is applied to the RADM2 chemical mechanism which is used for simulating air contamination in urbanized regions. This allowed us to find almost thirty fast variables of the above-mentioned system, single out three intersecting slow families and reduce the dimension of the corresponding basic dynamic model more than twice. It is shown that the constructed model well reproduces (both qualitatively and quantitatively) the calculated results, which are obtained using the reference full-scale model, and can be used for both direct simulation of the air quality in the atmospheric boundary layer with allowance for the actual transfer processes and retrieval of information on the tropospheric chemical substances from the available observation data bases.

Dual Biochemical Oscillators May Control Cellular Reversals in Myxococcus xanthus

Myxococcus xanthus is a Gram-negative, soil-dwelling bacterium that glides on surfaces, reversing direction approximately once every 6 min. Motility in M. xanthus is governed by the Che-like Frz pathway and the Ras-like Mgl pathway, which together cause the cell to oscillate back and forth. Previously, Igoshin et al. (2004) suggested that the cellular oscillations are caused by cyclic changes in concentration of active Frz proteins that govern motility. In this study, we present a computational model that integrates both the Frz and Mgl pathways, and whose downstream components can be read as motor activity governing cellular reversals. This model faithfully reproduces wildtype and mutant behaviors by simulating individual protein knockouts. In addition, the model can be used to examine the impact of contact stimuli on cellular reversals. The basic model construction relies on the presence of two nested feedback circuits, which prompted us to reexamine the behavior of M. xanthus cells. We performed experiments to test the model, and this cell analysis challenges previous assumptions of 30 to 60 min reversal periods in frzCD, frzF, frzE, and frzZ mutants. We demonstrate that this average reversal period is an artifact of the method employed to record reversal data, and that in the absence of signal from the Frz pathway, Mgl components can occasionally reverse the cell near wildtype periodicity, but frz- cells are otherwise in a long nonoscillating state.

Model for Solid Electrolyte Gas Electrode Reaction Kinetics; Key Concepts, Basic Model Construction, Extension of Models, New Experimental Techniques for Model Confirmation, and Future Prospects

Model for Solid Electrolyte Gas Electrode Reaction Kinetics; Key Concepts, Basic Model Construction, Extension of Models, New Experimental Techniques for Model Confirmation, and Future Prospects

Structure based virtual screening of non-steroidal anti-inflammatory drugs (NSAIDs) against RNA-binding motif 6 (RBM6) involved in human lung cancer

RNA-binding motif 6 (RBM6) is one of the most potent Lung cancer target proteins in humans. Variations in the expression of two genes such as G15/LUCA15/RBM5 and G16/RBM6/DEF3/NYLU12 show considerable sequence homology to each other in lung cancer cell lines and normal lung tissue. The present study reports construction of basic 3D model of RBM6 protein computationally using Wurst threading server and Modellar 9v7. Further, the developed initial model of the protein was subjected to molecular dynamics simulations using NAMD2.5 software with CHARMM27 force field, TIP 3p model of water, and the energy of structure was minimized with 10,000 steps with integrative time set of 2 ps. The final resolved model reliability was assessed by PROCHECK through Ramachandran plot calculations, Verify3D, and WHATCHECK programs. The Structure Based Virtual Screening was performed with selective 667 NSAIDs drugs from ZINC database against active site of RBM6 using Autodock vina in PyRx Virtual screening tool. The docking results reveal that the compounds ZINC59462883, ZINC59462879, and ZINC 28100170 have −11.2, −10.9, and −10.6 kcal/mol binding affinity, respectively, with RBM6. Through the interaction analysis, it was found that, the binding site residues viz. Ser75, His164, Arg215, Ser216, Arg217, Arg219, Ser279, Glu282, Thr303, and Arg306 were conserved in the interaction of RBM6 with various NSAIDs.

공동주택의 분양시기 변화에 따른 공급자의 수익성 비교 분석

본 연구는 주택 후분양제도를 도입한지 6년여 기간이 경과되는 현 시점에서 제도시행의 취지 및 효과를 점검하고, 공급자 관점에서 분양시기에 따른 수익성 변화를 분석하여 그 정도를 파악하였다. 서울시 공동주택 사업을 대상으로 사례분석 하였으며, 분양수입의 현재가치분석, 민감도분석, 분양가를 예측한 현재가치분석을 실시하였다. 분석결과 첫째, 선분양제가 후분양제보다 5.1%~6.2% 수익성이 높았고, 선분양의 4가지 안(착공후 즉시, 건설공정 20%, 40%, 60%) 가운데 착공과 동시에 계약금을 회수하는 안의 분양수입이 가장 높았다. 둘째, 할인율 증가와 분양수입 감소는 정비례하였으며, 할인율이 커질수록 공급자관점에서의 분양수입은 감소하였다. 셋째, 분양시기에 따른 분양가격 변동을 감안하여, 기본형건축비의 변동폭을 고려한 분양수입의 현재가치는 선분양방식이 후분양방식에 비해 2% 내외의 미미한 수준에서 다소 높았다. 본 연구는 분양시기에 따른 수익성을 공급자 관점에서 명확하게 계량화하여 제시하였고, 분양시기 변화에 따른 분양가 변동을 고려하여 분양수입을 산출하였다는 점에 의의가 있다. It has been five years since the Post-Construction Sale System of Housing was introduced. The purpose of this study is to identify objectives and effects of the Post-Construction Sale System of Housing and analyze change of profitability at different sales time from a supplier's point of view. Apartment buildings construction projects performed in Seoul are used for the case study. The present value of sales revenues, sensitivity and the present value of expected sales prices are analyzed. According to the findings, first, profits made from a Pre-construction sales system was 5.1%~6.2% higher than those from a Post-construction sales system. Among four plans of a Pre-construction sales system (A, B, C and D plan), sales revenue from the A plan, which takes a deposit at the time of starting construction, was the greatest. Second, increase of the rate of discount and decrease of sales revenues are in direct proportion. The bigger rate of discount leads actual reduction of sales revenues. Third, for the present value of sales revenues reflecting change in basic model construction cost, a Pre-construction sales system showed a little higher than that of a Post-construction sales system by approximately 2%. It should be known that this study suggests profitability of Pre-and Post-construction sales system by clearly measuring them in the supplier's point of view and calculates sales revenues, considering change of a sale price following change of sales time.

An Extensible Aspect-Oriented Modeling Environment for Constructing Domain-Specific Languages

AspectM, an aspect-oriented modeling (AOM) language, provides not only basic modeling constructs but also an extension mechanism called metamodel access protocol (MMAP) that allows a modeler to modify the metamodel. MMAP consists of metamodel extension points, extension operations, and primitive predicates for navigating the metamodel. Although the notion of MMAP is useful, it needs tool support. This paper proposes a method for implementing a MMAP-based AspectM support tool. It consists of model editor, model weaver, and model verifier. We introduce the notion of edit-time structural reflection and extensible model weaving. Using these mechanisms, a modeler can easily construct domain-specific languages (DSLs). We show a case study using the AspectM support tool and discuss the effectiveness of the extension mechanism provided by MMAP. As a case study, we show a UML-based DSL for describing the external contexts of embedded systems.

Image Restoration Algorithm Research on Local Motion-blur

In this paper, we aim at the restoration of local motion-blur. On the base of construction of basic model of local motion-blur, the formation mechanism of local motion-blur is analyzed, and a new restoration algorithm aimed at local motion-blur in a complex background is proposed. In the algorithm, the problem of restoration of blurred image with complex background is simplified. First, the blurred part is extracted from the complex background, and then it is pasted onto a bottom with monochromatic background. After restoration in the monochromatic background, the restored part is pasted back to the original complex background. All the operations can be completed in spatial domain. Because the restoration of blur image with monochromatic background is easier, so the algorithm proposed in this paper is simple, fast and effectual. It is an effective method of blur image restoration.

Kinetics of Charge Transport in Wide-Band Semiconductors at the Detection of X-Ray Radiation

As a result of absorption of X-ray quantum in a semiconductor, the generation of electron-hole pairs takes place in a small volume (diameter < 0.5 μm). Their surplus energy is lost due to the scattering on phonons of the crystal lattice. Spatial distribution of the charge carriers makes the form of current pulse on electrodes of the crystal complicated when an external electric field is applied. We present a logical chart of construction of basic kinetic model of X-ray conductivity (XRC) in semiconductors that uses the successive in time calculation of the spatial distribution of free charge carriers and the diffusive-drift model of motion of free carriers in a solid. The basic form of current pulse in an external circle was obtained in the analytical kind for the case of an ideal semiconductor, e.g. that does not contain deep traps and recombination centers, as well as for the case of a crystal with dominant shallow or deep traps of electrons and holes.

Human body 3D imaging by speckle texture projection photogrammetry

Describes a non‐contact optical sensing technology called C3D that is based on speckle texture projection photogrammetry. C3D has been applied to capturing all‐round 3D models of the human body of high dimensional accuracy and photorealistic appearance. The essential strengths and limitation of the C3D approach are presented and the basic principles of this stereo‐imaging approach are outlined, from image capture and basic 3D model construction to multi‐view capture and all‐round 3D model integration. A number of law enforcement, medical and commercial applications are described briefly including prisoner 3D face models, maxillofacial and orofacial cleft assessment, breast imaging and foot scanning. Ongoing research in real‐time capture and processing, and model construction from naturally illuminated image sources is also outlined.

A structured adaptive supervisory control methodology for modeling the control of a discrete event manufacturing system

Two basic measures, model complexity and model construction efficiency, are usually used to evaluate the implementability of a methodology for modeling the control of a discrete event manufacturing system (DEMS) on the shop floor. Many well-recognized methods are used to represent and analyze the dynamics of DEMs, but not many relevant applications have been found in developing control software for the shop floor due to their shortcomings in satisfying these two measures. The paper explores a methodology for modeling the control of a DEMS, which leads to ease of control software development, rather than a new representational/analytical tool, by significantly reducing the model complexity (in terms of the number of required control states) and improving the model construction efficiency. First, an extended finite machine, called a deterministic finite capacity machine (DFCM) with parallel computing capability is developed. Based on DFCMs, the complexity growth function of a DEMS control model is linear in the number of synthesized control components. Then, an automaton structure of a DFCM control model, called structured adaptive supervisory control (SASC), is developed. By referring to supervisory control theory, an SASC model is created with three function layers: acceptance, adaptive supervision, and execution. The well-defined structure ensures that the control model can be constructed systematically.