Model System For Processes Research Articles

A Meta-model for Analyzing the Influence of Production-related Business Processes

The improvement of business processes is viewed as a key to competitive success. Since the beginning of the 1990s, many companies could increase their efficiency through initiatives improving the production process. Despite the existence of numerous different scientific approaches to improve the supporting processes of indirect business areas, comparable successes could not be achieved. In the literature for business process management, the described guidelines and methods for process prioritization are often of very high level and hence not of much assistance when attempting to use them on production-related business processes. Further approaches focus the modelling and analyzing of single processes. These are often very detailed and do not taking into account the interrelations and influences that arise between the processes. An analysis and comparative evaluation of the production-related business processes of indirect areas does not exist. This paper presents an approach to analyze the influence of supporting business processes on the goals of their core process. Therefore, a meta-model is introduced to describe different types of interrelations between processes within in a process system by specific characteristics. The considered system includes the manufacturing process and its support processes as the interrelating elements. Based on the meta-model, influencing factors of the support processes on the characteristic values of the manufacturing process are determined. The paper contributes to theories on business process architecture and the modeling of process systems as well as the basics on system theory. In the literature review of this paper, different approaches for the selection of critical processes, the modelling of process systems and the interdependencies between processes are discussed.

Fast Power and Performance Evaluation of FPGA-Based Wireless Communication Systems

In this paper, a new and efficient methodology is proposed to quickly and precisely evaluate the power consumption and performance of wireless communication base-band systems implemented in field-programmable gate arrays (FPGAs). As the complexity of such systems is still growing, being able to estimate both power and performance of a design has become a major issue. FPGA devices constitute a promising technology in this highly constrained context. However, to respect their power budget, designers need to explore the design space very soon in the design process. This is performed prior to any implementation. Based on the innovative definition of a scenario, which enables comparison among wireless communication applications in a formal manner, each parameter can be evaluated to meet the power-performance tradeoff. In this paper, the proposed methodology is realized in two steps using a low-level characterization process and high-level system modeling. Another major contribution consists in considering components’ time activity to refine power estimations results. We demonstrate the effectiveness of the proposed methodology throughout several domain-specific use cases, with a focus on hardware base-band processing in the wireless communication domain. As compared with current low-level FPGAs vendor tools, an important speedup factor is obtained, and a maximal relative error lower than 5% is reached.

Construction of Batch Process System Models for Fault Analysis

Construction of Batch Process System Models for Fault Analysis

Multifaceted Modelling of Complex Business Enterprises.

We formalise and present a new generic multifaceted complex system approach for modelling complex business enterprises. Our method has a strong focus on integrating the various data types available in an enterprise which represent the diverse perspectives of various stakeholders. We explain the challenges faced and define a novel approach to converting diverse data types into usable Bayesian probability forms. The data types that can be integrated include historic data, survey data, and management planning data, expert knowledge and incomplete data. The structural complexities of the complex system modelling process, based on various decision contexts, are also explained along with a solution. This new application of complex system models as a management tool for decision making is demonstrated using a railway transport case study. The case study demonstrates how the new approach can be utilised to develop a customised decision support model for a specific enterprise. Various decision scenarios are also provided to illustrate the versatility of the decision model at different phases of enterprise operations such as planning and control.

Wide‐area power system stabiliser based on model‐free adaptive control

The interconnection of regional power grids has resulted in inter-area low-frequency oscillation, which has become a serious problem that threatens the security of power systems. Wide-area power system stabiliser (WAPSS) is an effective device to damp this oscillation. Given that the interconnected multi-machine power system is a strongly non-linear and complex system with time-varying structure and operating conditions, satisfactory control performance of WAPSS is difficult to obtain by using conventional model-based control methods. In this study, a data-driven control method called model-free adaptive control (MFAC) is introduced to WAPSS design. The MFAC algorithm is improved to meet the wide-area damping control requirements in consideration of system disturbances. The stability of the closed-loop system with the improved MFAC-WAPSS is also analysed, and the parameter settings of the improved MFAC algorithm are provided in detail. The improved MFAC-WAPSS can adjust its parameters adaptively only based on the input and output data and avoid the complex system modelling process. The proposed adaptive WAPSS is evaluated on a simplified New England power system. Simulation results show the effectiveness of this new technique.

A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism

In this paper, a novel fuzzy rule transfer mechanism for self-constructing neural fuzzy inference networks is being proposed. The features of the proposed method, termed data-driven neural fuzzy system with collaborative fuzzy clustering mechanism (DDNFS-CFCM) are; (1) Fuzzy rules are generated facilely by fuzzy c-means (FCM) and then adapted by the preprocessed collaborative fuzzy clustering (PCFC) technique, and (2) Structure and parameter learning are performed simultaneously without selecting the initial parameters. The DDNFS-CFCM can be applied to deal with big data problems by the virtue of the PCFC technique, which is capable of dealing with immense datasets while preserving the privacy and security of datasets. Initially, the entire dataset is organized into two individual datasets for the PCFC procedure, where each of the dataset is clustered separately. The knowledge of prototype variables (cluster centers) and the matrix of just one halve of the dataset through collaborative technique are deployed. The DDNFS-CFCM is able to achieve consistency in the presence of collective knowledge of the PCFC and boost the system modeling process by parameter learning ability of the self-constructing neural fuzzy inference networks (SONFIN). The proposed method outperforms other existing methods for time series prediction problems.

Emerging approaches to the conceptualization and treatment of personality disorder.

Personality disorders are both prevalent and debilitating, but controversies abound concerning the definition, assessment and treatment of these conditions. This review examines major approaches to conceptualizing the personality disorders, as recently emerging in DSM-5, Section III, and the research domain criteria initiative of the National Institute of Mental Health. Three prominent models for understanding these disorders (neural functioning, interpersonal model, and the cognitive-affective processing system model) are considered with their relevant empirical foundations. The implications for future psychopathology and treatment research and practice are detailed. Personality disorders (PD) are prevalent in the general popula- tion (10.56% median prevalence across studies; see Lenzenweger, 2008). They are highly debilitating, exerting a powerful impact on work functioning as well as interpersonal and intimate relations. However, there are many impediments to the assessment and treatment of patients with a personality disorder, not the least of which are the controversies in defining personality disorder, the range of severity across the disorders, the difficulties in identifying the key dimensions of personality dysfunction, the striking heter- ogeneity amongst patients that carry the same personality disorder diagnosis, and the paucity of treatment research on the majority of the personality disorder types. In this overview, which is necessarily selective and nonexhaus- tive, we explore a number of empirical developments in person- ality pathology research, with a particularly focus on the potential impact of these developments on conceptualization, assessment and treatment. While there is substantial agreement about the limitations of the PD nosology articulated in the Diagnostic and Statistical Manual for Mental Disorders, now in its fifth edition (DSM-5; APA, 2013), there is less agreement about how to ad- vance our conceptualization. The alternative DSM-5 model for personality disorders, retained in Section 3 of the DSM-5, pro-

Virtual Combat System Evolution Model Realization

This paper presents the connotation, research purpose and goals of virtual combat system evolution model, studies virtual combat system simulation principle and modeling process, and the evolution modeling method of virtual combat system, presents virtual combat system evolution modeling method based on main body, designs virtual combat system evolution model system structure, summarizes the portfolio level of virtual combat system model, and gives information control relations between virtual combat system models.

Optimized PID Position Control of a Nonlinear System Based on Correlating the Velocity with Position Error

We examined a design approach for a PID controller for a nonlinear ball and beam system. Main objective of our research was to establish a nonmodel based control system, which would also not be dependent on a specific ball and beam hardware setup. The proposed PID controller setup is based on a cascaded configuration of an inner PID ball velocity control loop and an outer proportional ball position control loop. The effectiveness of the proposed controller setup was first presented in simulation environment in comparison to a hardware dependent PD cascaded controller, along with a more comprehensive study on possible design approach for optimal PID controller parameters in relation to main functionality of the controller setup. Experimental real time control results were then obtained on a laboratory setup of the ball and beam system on which PD cascaded controller could not be applied without parallel system model processing.

Double Loop Transmission Dynamics Simulation Analysis

This article focuses on double loop transmission dynamics simulation analysis based on ADAMS. The translation of double loop transmission gear transmission mechanism from the establishment of the model, edit component and add constraint is introduced in detail, finally it is concluded that the rotating speed and meshing force simulation results. From the simulation results can be concluded that the speed has consistency with the theoretical value, confirmed that the gear parametric modeling and the rationality of the transmission system modeling process. From the simulation results can be concluded that two inner gear meshing force between the ring plate and the outer gear meshing force always close to constant, two plate respectively on the annular gear meshing force of equal size.

Sensitivity studies of a high accuracy surface modeling method

The sensitivities of the initial value and the sampling information to the accuracy of a high accuracy surface modeling (HASM) are investigated and the implementations of this new modeling method are modified and enhanced. Based on the fundamental theorem of surface theory, HASM is developed to correct the error produced in geographical information system and ecological modeling process. However, the earlier version of HASM is theoretically incomplete and its initial value must be produced by other surface modeling methods, such as spline, which limit its promotion. In other words, we must use other interpolators to drive HASM. According to the fundamental theorem of surface theory, we modify HASM, namely HASM.MOD, by adding another important nonlinear equation to make it independent of other methods and, at the same time, have a complete and solid theory foundation. Two mathematic surfaces and monthly mean temperature of 1951-2010 are used to validate the effectiveness of the new method. Experiments show that the modified version of HASM is insensitive to the selection of initial value which is particular important for HASM. We analyze the sensitivities of sampling error and sampling ratio to the simulation accuracy of HASM.MOD. It is found that sampling information plays an important role in the simulation accuracy of HASM.MOD. Another feature of the modified version of HASM is that it is theoretically perfect as it considers the third equation of the surface theory which reflects the local warping of the surface. The modified HASM may be useful with a wide range of spatial interpolation as it would no longer rely on other interpolation methods.

System model of a tablet manufacturing process

A novel process system model of a roll compaction tablet manufacturing process has been developed. The model couples together multiple unit operations, namely roller compaction, milling and tablet press, providing a framework to simulate cause and effect relationships between process parameters and product performance. Models for tablet tensile strength and dissolution are implemented to evaluate tablet performance. The models for the milling and the dissolution units are based on the solution of population balance equations. The model is validated by comparison with experimental data. This work demonstrates that it is possible to develop a model for tablet manufacturing that is based on fundamental process understanding and that the resulting simulation tool, requiring limited experimental calibration, can be used easily and effectively in the workflow of pharmaceutical product development.

Application of Digital Image Processing Software in Ceramic Design

From rest to exercise and from two-dimensional to three-dimensional, digital image processing software can be multi-angle, multi-dimension, multi-direction infiltration for the various fields of design, which has wide applications in every corner of digital media. Firstly, the digital image processing software can analyze the common digital processing system model. On the basis of the principle of RGB color histogram, it also can analyze its application in the ceramic design. According to the set of image transformation principle, the analysis of the geometric transformation plays an important role in in ceramic set, to provide the theoretical basis for the digital image processing software to a certain extent.

Optimal processing rate and buffer size of a jump-diffusion processing system

In this paper, we propose a reflected jump-diffusion model for processing systems with finite buffer size. We derive an analytic expression for the total expected discounted managing cost, which facilitates finding (numerically) the optimal processing rate and buffer size that minimize the total cost. Moreover, the formula for steady-state density of the processing system is obtained.

Paraffin Blockage Specificsin Model Petroliferous Systems

In this paper we study the effect of the temperature factor, the content and composition of the dispersed phase components: paraffinic hydrocarbons, resins and asphaltenes, – on the sedimentation process in model systems. Adding a 0.025 to 0.1wt.% of resins and asphaltenes doping agent to a 20wt.% paraffin wax solution in kerosene shall be optimalto resist precipitate formation. Asphaltene and resin compositions, derived from the methane-kind petroleum-oil, are characterized by a maximum ability to prevent sedimentation. The presence of resins and asphaltenes in a model system shall significantly affect the physical and chemical characteristics of the sediment.

Load Flow Solution of the Tanzanian Power Network Using Newton-Raphson Method and MATLAB Software

Load flow studies are the backbone of power system analysis and design. They are necessary for planning, operation, optimal power flow and economic scheduling and power exchange between utilities. This paper describes modelling procedure and present models of system components used in performing load flow analysis. The developed models are joined together to form a system network representing an approximate Tanzanian power network model. A load flow problem is formulated using the model and a MATLAB program developed using Newton-Raphson algorithm is applied in solving the problem. Simulation results are presented and analysed. The results indicate that the voltage magnitude and voltage phase angle profiles are within the operating limits of the system; it means that the selection of system components and modelling process is appropriate and accurate. The results will form the basis of other critical power system studies of the network in the future such as power system state estimation, optimal power flow and security constrained optimal power flow studies.

Application Research on Real-Time Database System Model Based on Distributed System of Cloud Manufacturing

This paper analyzed on real-time database system, and applied the cloud manufacturing technology and distributed system technology to the database system model. Through the analysis on the real time database, we can got the distributed real-time data system types and data storage model, establish two kinds of memory T-mode and S-mode, database storage model and make the production of block. Finally establish the work flow of distributed real-time database system, get relevant application program. A large number of real-time data collection and administration can be realized, which can improve the real-time information data processing efficiency and system model performance. Through the establishment of model and analysis of its working process in the real-time distributed system real time database application path, it can provide guidance for the establishment of distributed real-time database system model.

Research and Application on Information Resources Planning for University

Information resource planning is a bridge for information technology planning and implementation, which plays a connecting role. This paper discusses the basic principles and methods of information resources planning. Taking University Information Resource Planning as example, this paper introduces the business process analysis, requirements analysis, business modeling and system modeling of the University core business processes, at last proposes the reference model for practical application from practice.

Construction of two ureolytic model organisms for the study of microbially induced calcium carbonate precipitation

Two bacterial strains, Pseudomonas aeruginosa MJK1 and Escherichia coli MJK2, were constructed that both express green fluorescent protein (GFP) and carry out ureolysis. These two novel model organisms are useful for studying bacterial carbonate mineral precipitation processes and specifically ureolysis-driven microbially induced calcium carbonate precipitation (MICP). The strains were constructed by adding plasmid-borne urease genes (ureABC, ureD and ureFG) to the strains P. aeruginosa AH298 and E. coli AF504gfp, both of which already carried unstable GFP derivatives. The ureolytic activities of the two new strains were compared to the common, non-GFP expressing, model organism Sporosarcina pasteurii in planktonic culture under standard laboratory growth conditions. It was found that the engineered strains exhibited a lower ureolysis rate per cell but were able to grow faster and to a higher population density under the conditions of this study. Both engineered strains were successfully grown as biofilms in capillary flow cell reactors and ureolysis-induced calcium carbonate mineral precipitation was observed microscopically. The undisturbed spatiotemporal distribution of biomass and calcium carbonate minerals were successfully resolved in 3D using confocal laser scanning microscopy. Observations of this nature were not possible previously because no obligate urease producer that expresses GFP had been available. Future observations using these organisms will allow researchers to further improve engineered application of MICP as well as study natural mineralization processes in model systems.

Research on Modeling of the RoHS Compliance System on UML

With the application of the ROHS standard in the products management, the Product Overall Lifecycle Management has been increasingly complex. Based on the UML2.0 modeling technology, this paper discussed the ROHS conformity system modeling process by the modeling tool VP-UML. According to the information model, the core data about Product Life Cycle can be converted to the XMI document, and be used to get the optimization of the model.