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A Control Theoretical Model of Web Service Value Development Web服务价值开发的控制理论模型
Pub Date : 2019-03-06 DOI: 10.4236/OJMSI.2019.72007
A. White, D. Nielsen, M. Censlive
This paper describes a control theoretical model of collaborative value development. This model is designed to assist managers in choosing parameters that are critical to the development process in service design and support their Business Model. This methodology uses control system modelling of web-based service value generation implemented in SIMULINK/MATLAB. An application based on public domain Wikipedia data is used to validate and develop the model. A control theoretic model applied to the creation of Wikipedia articles shows very good agreement with Wikipedia published data for the time dependent growth in articles produced, and editors used, well within the variability of parametric data listed publically justifying the principle equations used in the model. This development and fine tuning of the model has been limited by the publically available data. To obtain a more accurate model in this area would need the co-operation of web service organisations to reveal confidential data. This modelling procedure can produce a decision support process for service design and could, with modification be applied much more widely to other choices in service design/implementation, even allowing for user contribution to be evaluated. This work shows how subjective judgements on value and other intangibles need to be continually re-evaluated. Such methodology has not been applied elsewhere to value generation applications. It could be used to rank contributions from co-creators for reward sharing.
本文描述了一个协同价值开发的控制理论模型。该模型旨在帮助管理人员选择对服务设计中的开发过程至关重要的参数,并支持其业务模型。该方法使用SIMULINK/MATLAB实现的基于web的服务价值生成控制系统建模。基于公共领域维基百科数据的应用程序用于验证和开发该模型。应用于维基百科文章创建的控制理论模型与维基百科发布的文章和使用的编辑的时间依赖性增长数据非常一致,完全在公开列出的参数数据的可变性范围内,证明了模型中使用的原理方程。该模型的开发和微调受到公开可用数据的限制。为了在这一领域获得更准确的模型,需要网络服务组织的合作来披露机密数据。该建模程序可以为服务设计产生决策支持过程,经过修改后,可以更广泛地应用于服务设计/实施中的其他选择,甚至可以评估用户的贡献。这项工作表明,对价值和其他无形资产的主观判断需要不断重新评估。这种方法尚未在其他地方应用于价值产生应用。它可以用于对联合创作者的贡献进行排名,以进行奖励分享。
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引用次数: 1
Stability and Optimal Control of Tuberculosis Spread with an Imperfect Vaccine in the Case of Co-Infection with HIV 合并感染HIV病例中不完善疫苗对结核病传播的稳定性和最优控制
Pub Date : 2019-03-06 DOI: 10.4236/OJMSI.2019.72005
L. N. Nkamba, Thomas Timothee Manga, N. Sakamoto
This paper focuses on the study and control of a non-linear mathematical epidemic model ( SSvihVELI ) based on a system of ordinary differential equation modeling the spread of tuberculosis infectious with HIV/AIDS coinfection. Existence of both disease free equilibrium and endemic equilibrium is discussed. Reproduction number R0 is determined. Using Lyapunov-Lasalle methods, we analyze the stability of epidemic system around the equilibriums (disease free and endemic equilibrium). The global asymptotic stability of the disease free equilibrium whenever Rvac < 1 is proved, where R0 is the reproduction number. We prove also that when R0 is less than one, tuberculosis can be eradicated. Numerical simulations are conducted to approve analytic results. To achieve control of the disease, seeking to reduce the infectious group by the minimum vaccine coverage, a control problem is formulated. The Pontryagin’s maximum principle is used to characterize the optimal control. The optimality system is derived and solved numerically using the Runge Kutta fourth procedure.
本文主要研究了基于常微分方程系统的非线性数学流行病模型(SSvihVELI),该模型模拟了结核病与HIV/AIDS合并感染的传播。讨论了无病平衡和地方性平衡的存在性。繁殖数R0已确定。利用Lyapunov-Lasalle方法,围绕无病平衡点和地方病平衡点分析了流行病系统的稳定性。证明了当Rvac < 1时无病平衡点的全局渐近稳定性,其中R0为繁殖数。我们还证明了当R0小于1时,结核病可以被根除。数值模拟验证了分析结果。为了实现对疾病的控制,寻求通过最低限度的疫苗覆盖率来减少感染群体,制定了一个控制问题。用庞特里亚金极大值原理来描述最优控制。利用龙格-库塔第四过程,导出了最优系统,并对其进行了数值求解。
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引用次数: 2
Bayesian Joint Modelling of Survival Time and Longitudinal CD4 Cell Counts Using Accelerated Failure Time and Generalized Error Distributions 使用加速失效时间和广义误差分布的生存时间和纵向CD4细胞计数的贝叶斯联合建模
Pub Date : 2019-01-21 DOI: 10.4236/ojmsi.2019.71004
Markos Abiso Erango, A. Goshu
Survival of HIV/AIDS patients is crucially dependent on comprehensive and targeted medical interventions such as supply of antiretroviral therapy and monitoring disease progression with CD4 T-cell counts. Statistical modelling approaches are helpful towards this goal. This study aims at developing Bayesian joint models with assumed generalized error distribution (GED) for the longitudinal CD4 data and two accelerated failure time distributions, Lognormal and loglogistic, for the survival time of HIV/AIDS patients. Data are obtained from patients under antiretroviral therapy follow-up at Shashemene referral hospital during January 2006-January 2012 and at Bale Robe general hospital during January 2008-March 2015. The Bayesian joint models are defined through latent variables and association parameters and with specified non-informative prior distributions for the model parameters. Simulations are conducted using Gibbs sampler algorithm implemented in the WinBUGS software. The results of the analyses of the two different data sets show that distributions of measurement errors of the longitudinal CD4 variable follow the generalized error distribution with fatter tails than the normal distribution. The Bayesian joint GED loglogistic models fit better to the data sets compared to the lognormal cases. Findings reveal that patients’ health can be improved over time. Compared to the males, female patients gain more CD4 counts. Survival time of a patient is negatively affected by TB infection. Moreover, increase in number of opportunistic infection implies decline of CD4 counts. Patients’ age negatively affects the disease marker with no effects on survival time. Improving weight may improve survival time of patients. Bayesian joint models with GED and AFT distributions are found to be useful in modelling the longitudinal and survival processes. Thus we recommend the generalized error distributions for measurement errors of the longitudinal data under the Bayesian joint modelling. Further studies may investigate the models with various types of shared random effects and more covariates with predictions.
艾滋病毒/艾滋病患者的生存在很大程度上取决于全面和有针对性的医疗干预措施,如提供抗逆转录病毒疗法和用CD4 T细胞计数监测疾病进展。统计建模方法有助于实现这一目标。本研究旨在开发具有假设广义误差分布(GED)的纵向CD4数据的贝叶斯联合模型,以及两种加速失败时间分布(对数正态和对数逻辑)的HIV/AIDS患者生存时间。数据来自2006年1月至2012年1月期间在Shashemene转诊医院接受抗逆转录病毒治疗随访的患者,以及2008年1月和2015年3月期间在Bale Robe综合医院接受抗转录病毒治疗的患者。贝叶斯联合模型是通过潜在变量和关联参数以及模型参数的指定非信息先验分布来定义的。使用WinBUGS软件中实现的吉布斯采样器算法进行了仿真。对两个不同数据集的分析结果表明,纵向CD4变量的测量误差分布遵循广义误差分布,其尾部比正态分布更粗。与对数正态情况相比,贝叶斯联合GED对数逻辑模型更适合数据集。研究结果表明,随着时间的推移,患者的健康状况可以得到改善。与男性相比,女性患者获得更多的CD4计数。结核病感染会对患者的生存时间产生负面影响。此外,机会性感染数量的增加意味着CD4计数的下降。患者的年龄对疾病标志物有负面影响,而对生存时间没有影响。提高体重可以延长患者的生存时间。具有GED和AFT分布的贝叶斯联合模型被发现在建模纵向和生存过程中是有用的。因此,我们推荐了贝叶斯联合建模下纵向数据测量误差的广义误差分布。进一步的研究可能会研究具有各种类型的共享随机效应和更多预测协变量的模型。
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引用次数: 0
A Model for the Mass-Growth of Wild-Caught Fish 野生捕捞鱼类大量生长的模型
Pub Date : 2019-01-01 DOI: 10.4236/OJMSI.2019.71002
Katharina Renner-Martin, N. Brunner, M. Kühleitner, W. Nowak, K. Scheicher
The paper searched for raw data about wild-caught fish, where a sigmoidal growth function described the mass growth significantly better than non-sigmoidal functions. Specifically, von Bertalanffy’s sigmoidal growth function (metabolic exponent-pair a = 2/3, b = 1) was compared with unbounded linear growth and with bounded exponential growth using the Akaike information criterion. Thereby the maximum likelihood fits were compared, assuming a lognormal distribution of mass (i.e. a higher variance for heavier animals). Starting from 70+ size-at-age data, the paper focused on 15 data coming from large datasets. Of them, six data with 400 - 20,000 data-points were suitable for sigmoidal growth modeling. For these, a custom-made optimization tool identified the best fitting growth function from the general von Bertalanffy-Putter class of models. This class generalizes the well-known models of Verhulst (logistic growth), Gompertz and von Bertalanffy. Whereas the best-fitting models varied widely, their exponent-pairs displayed a remarkable pattern, as their difference was close to 1/3 (example: von Bertalanffy exponent-pair). This defined a new class of models, for which the paper provided a biological motivation that relates growth to food consumption.
本文检索了野生鱼类的原始数据,其中s型生长函数明显优于非s型生长函数。具体而言,利用Akaike信息准则将von Bertalanffy的s型生长函数(代谢指数对a = 2/3, b = 1)与无界线性增长和有界指数增长进行比较。因此,最大似然拟合进行比较,假设质量为对数正态分布(即较重的动物方差较高)。从70多个年龄大小的数据开始,本文重点研究了来自大型数据集的15个数据。其中,有6个数据点在400 ~ 20000个数点之间,适合进行s型增长建模。对于这些,一个定制的优化工具从一般的von Bertalanffy-Putter类模型中识别出最适合的生长函数。该类推广了著名的Verhulst (logistic增长)、Gompertz和von Bertalanffy模型。尽管最佳拟合模型差异很大,但它们的指数对显示出一个显著的模式,因为它们的差异接近1/3(例如:von Bertalanffy指数对)。这定义了一类新的模型,论文为这些模型提供了一种将增长与食物消费联系起来的生物学动机。
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引用次数: 1
Computer Model for Evaluating Multi-Target Tracking Algorithms 评价多目标跟踪算法的计算机模型
Pub Date : 2019-01-01 DOI: 10.4236/OJMSI.2019.71001
Garret Vo, Chiwoo Park
Public benchmark datasets have been widely used to evaluate multi-target tracking algorithms. Ideally, the benchmark datasets should include the video scenes of all scenarios that need to be tested. However, a limited amount of the currently available benchmark datasets does not comprehensively cover all necessary test scenarios. This limits the evaluation of multitarget tracking algorithms with various test scenarios. This paper introduced a computer simulation model that generates benchmark datasets for evaluating multi-target tracking algorithms with the complexity of multitarget tracking scenarios directly controlled by simulation inputs such as target birth and death rates, target movement, the rates of target merges and splits, target appearances, and image noise types and levels. The simulation model generated a simulated video and also provides the ground-truth target tracking for the simulated video, so the evaluation of multitarget tracking algorithms can be easily performed without any manual video annotation process. We demonstrated the use of the proposed simulation model for evaluating tracking-by-detection algorithms and filtering-based tracking algorithms.
公共基准数据集已被广泛用于评估多目标跟踪算法。理想情况下,基准数据集应该包括需要测试的所有场景的视频场景。然而,目前可用的基准数据集数量有限,不能全面覆盖所有必要的测试场景。这限制了多目标跟踪算法在各种测试场景下的评估。本文介绍了一种计算机仿真模型,该模型生成基准数据集,用于评估多目标跟踪算法,多目标跟踪场景的复杂性由仿真输入直接控制,如目标的出生率和死亡率、目标的运动、目标的合并和分裂率、目标的外观以及图像噪声的类型和水平。该仿真模型生成了仿真视频,并为仿真视频提供了真实目标跟踪,因此无需手动视频注释过程即可方便地对多目标跟踪算法进行评估。我们演示了使用所提出的仿真模型来评估检测跟踪算法和基于滤波的跟踪算法。
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引用次数: 0
Static Stability of Double-Spiral Mobile Robot over Rough Terrain 双螺旋移动机器人在崎岖地形上的静稳定性
Pub Date : 2018-12-19 DOI: 10.3384/ECP171421034
N. Hanajima, T. Kaneko, H. Kajiwara, Yoshinori Fujihira
In this paper, we investigate static stability for a doublespiral mobile robot. It is a new locomotion mechanism suitable for the wetlands that suppresses damage to vegetation and does not sink in the mud. The robot walks on the spirals, which play the role of footholds for the mobile robot. To overcome rough terrain locomotion, we need to ensure the stability of the walking motion on the sloping ground. In this study, we applied normalized energy stability margin (NESM) to the double-spiral mobile robot in order to investigate its static stability over rough terrain. The procedure to derived the NESM value were shown from the point of view of the vector calculation. In the numerical case study, we drew NESM maps to investigate the static stabilities when the inclination of the slope varied or the pose and orientation of the robot changed. We adopted a moment in the swing phase where the stability of the robot’s balance was easily lost. We found that the robot has sensitive directions in terms of stability. Planning the route and motion of the robot in the rough terrain could help maintain its stability.
本文研究了一类双螺旋移动机器人的静态稳定性问题。它是一种适合于湿地的新型运动机构,既能抑制对植被的破坏,又不会陷在淤泥中。机器人在螺旋上行走,螺旋为移动机器人起到了立足点的作用。为了克服崎岖地形运动,我们需要保证在倾斜地面上行走运动的稳定性。在本研究中,我们将归一化能量稳定余量(NESM)应用于双螺旋移动机器人在崎岖地形上的静态稳定性。从矢量计算的角度出发,给出了推导NESM值的过程。在数值研究中,我们绘制NESM图来研究斜坡倾角变化或机器人姿态和方向变化时的静态稳定性。我们在摇摆阶段采用了一个时刻,在这个时刻机器人的平衡很容易失去稳定性。我们发现机器人在稳定性方面具有敏感的方向。规划机器人在崎岖地形中的路线和运动有助于保持其稳定性。
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引用次数: 0
Make Space!: Disruption Analysis of the A380 Operation in Mexico City Airport 让空间!:墨西哥城机场A380客机运行中断分析
Pub Date : 2018-12-19 DOI: 10.3384/ECP17142293
M. Mota, C. Zúñiga, Geert Boosten
Recently, the super heavy aircraft A380 started operations between Mexico City and Paris, and it has been announced daily operations in March. In addition, Lufthansa and Emirates are also willing to use the A380 to operate from Frankfurt and Dubai to Mexico, respectively. However, in recent years, Mexico City International Airport has been reporting severe congestion problems and it is a concern whether these problems can be overcome with the current facilities and procedures together with the increasing aircraft demand. In this article, a capacity analysis of the operation performed in the airport is presented using information for a particular high-season day. A model-based approach which allows simulating the daily operation of the A380 is presented. This approach allows incorporating most of the restrictions besides the stochasticity inherent to the system.
最近,超重型飞机A380开始在墨西哥城和巴黎之间运营,并于3月份宣布每日运营。此外,汉莎航空和阿联酋航空也愿意使用A380分别运营法兰克福和迪拜至墨西哥的航线。然而,近年来,墨西哥城国际机场一直报告严重的拥堵问题,这是一个问题,这些问题是否可以克服现有的设施和程序,以及不断增加的飞机需求。在本文中,使用特定旺季的信息对机场执行的操作进行了容量分析。提出了一种基于模型的模拟A380日常运行的方法。除了系统固有的随机性之外,这种方法允许合并大多数限制。
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引用次数: 0
Simulation of Oil Production in a Fractured Carbonate Reservoir 碳酸盐岩裂缝性油藏产油模拟
Pub Date : 2018-12-19 DOI: 10.3384/ECP17142842
N. C. Furuvik, Britt M. E. Moldestad
CO2-EOR is an attractive method because of its potential to increase the oil production from matured oilfields, at the same time reduce the carbon footprint from the industrial sources. The field response to the CO2-EOR technique depends on the petrophysical properties of the reservoir. Carbonate reservoirs are characterized by low permeability and strong heterogeneity, causing significant amounts of water and CO2 to be recycled when CO2 is re-injected into the reservoir. Naturally fractured carbonate reservoirs have low oil production, high water production, early water breakthrough and high water cut. This study focuses on the oil production and the CO2 recycle ratio in naturally fractured carbonate reservoirs, including near-well simulations using the reservoir software Rocx in combination with OLGA. The simulations indicate that closing the fractured zone causes delayed water breakthrough and dramatically reduced water cut, resulting in improved oil recovery as well as lower production and separation costs.
CO2-EOR是一种有吸引力的方法,因为它有可能增加成熟油田的石油产量,同时减少工业来源的碳足迹。对CO2-EOR技术的现场响应取决于储层的岩石物理性质。碳酸盐岩储层具有渗透性低、非均质性强的特点,当向储层重新注入二氧化碳时,会产生大量的水和二氧化碳循环。碳酸盐岩天然裂缝性油藏具有低产油量、高含水、早见水、高含水的特点。本研究的重点是天然裂缝型碳酸盐岩储层的产油量和二氧化碳循环率,包括使用油藏软件Rocx结合OLGA进行近井模拟。模拟结果表明,关闭裂缝带可以延迟水侵,显著降低含水率,从而提高采收率,降低生产和分离成本。
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引用次数: 0
A Harvest Vehicle with Pneumatic Servo System for gathering a Harvest and its Simulation Study 基于气动伺服系统的采收车及其仿真研究
Pub Date : 2018-12-19 DOI: 10.3384/ECP17142446
K. Moriwaki
A series of works such as harvesting and transporting in a farm is one of such works with so care as not to damage the harvest in order to maintain the value of harvests. We are developing an autonomous cart for gathering a harvest with the bed to be controlled to keep in horizontal level at work and in transit, in order to avoid harvests gathered in particular area of the bed and to keep away from being damaged in harvests. It is proposed a method of autonomous steering control of a harvest vehicle with maintaining the horizontal level of the bed of the cart with air cylinder suspension systems. It is shown that the problem of a level control of vehicle’s bed can be formulated as one of optimal control problems. Finally, its simulation study is considered.
农场里的一系列工作,如收割和运输,就是这样一种工作,为了保持收成的价值,必须小心翼翼地不破坏收成。我们正在开发一种自动采收车,在工作和运输过程中,可以控制床的水平水平,以避免收成集中在床的特定区域,并避免在采收过程中被损坏。提出了一种利用气缸悬挂系统实现采收车自动转向控制的方法。研究结果表明,车辆床身水平控制问题可以表述为最优控制问题之一。最后,对其进行了仿真研究。
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引用次数: 0
Simulation Metamodeling using Dynamic Bayesian Networks with Multiple Time Scales 基于多时间尺度动态贝叶斯网络的仿真元建模
Pub Date : 2018-12-19 DOI: 10.3384/ECP17142619
Mikko Harju, Kai Virtanen, Jirka Poropudas
The utilization of dynamic Bayesian networks (DBNs) in simulation metamodeling enables the investigation of the time evolution of state variables of a simulation model. DBN metamodels have previously described the changes in the probability distribution of the simulation state by using a time slice structure in which the state variables are described at common time instants. In this paper, the novel approach to the determination of the time slice structure is introduced. It enables the selection of time instants of the DBN separately for each state variable. In this way, a more accurate metamodel representing multiple time scales of the variables is achieved. Furthermore, the construction is streamlined by presenting a dynamic programming algo-rithm for determining the key time instants for individual variables. The construction and use of the DBN metamodels are illustrated by an example problem dealing with the simulated operation of an air base.
动态贝叶斯网络(DBNs)在仿真元建模中的应用,使得研究仿真模型状态变量的时间演化成为可能。DBN元模型以前通过使用时间片结构来描述仿真状态概率分布的变化,其中状态变量在公共时间瞬间描述。本文介绍了一种确定时间片结构的新方法。它支持为每个状态变量分别选择DBN的时间瞬间。通过这种方式,可以获得一个更精确的元模型来表示变量的多个时间尺度。此外,通过提出一种动态规划算法来确定各个变量的关键时刻,简化了结构。以某空军基地模拟作战为例,说明了DBN元模型的构建和应用。
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引用次数: 0
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