Cost and time overrun are the key troubles of any improvement ventures. These troubles are inflicting the terrible end result in the development of kingdom monetary improvement and thriving. To overcome these problems...Cost and time overrun are the key troubles of any improvement ventures. These troubles are inflicting the terrible end result in the development of kingdom monetary improvement and thriving. To overcome these problems, the?paper examines predominant impact on elements causing the mission postponement and cost. A poll review was led for the situation study embracing various information-gathering procedures. The discoveries from the contextual investigation uncovered that the most persuasive factors in Malaysia:?1) contractor’s inappropriate arranging, 2) poor site the board, 3) deficient contractual worker experience,?are the most powerful factors. This paper has likewise broken down the normal and least effective of the postpone variables causing task deferral and cost overrun in Malaysia. It likewise infers that there are various measures as per the idea of deferring components to decrease the effect on task postponement and cost overruns in the development industry.?There are significant factors in the control of time overrun that would be actual thought related to know and tackle in great impact to improvement rate which may additionally no capacity that be recovered. Thirty (30) massive development extensions in Malaysia were exceptional coping with time overrun at some stage in development. Out of 30 undertakings, 17 (56.67%) ventures had been introduced by using 1100 days’ time overrun, 5 (16.67%) extensions in the middle of a hundred and one to 200 days, 5 (16.67%) ventures?201 to 300 days while three (10%) ventures have been deferred for timeframe over 300 days.展开更多
Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the o...Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the optimal levels of activity durations and activity costs which satisfy the project goal(s), leads to a balance between the project completion time and the project total cost. A large amount of literature has studied this problem under various behavior of cost function. But, in all of them, influence of discount has not been in-vestigated. Hence, in this paper, TCTP would be studied considering the influence of discount on the re-source price, using genetic algorithm (GA). The performance of proposed idea has been tested on a medium scale test problem and several computational experiments have been conducted to investigate the appropriate levels of proposed GA considering accuracy and computational time.展开更多
Construction project management as an important branch of management science has its own characteristics; it was known as an important aspect of project management in the 21 st century. Construction companies now face...Construction project management as an important branch of management science has its own characteristics; it was known as an important aspect of project management in the 21 st century. Construction companies now face a more complex competitive environment and more powerful competitors. In order to compete for the market and living space, Enterprises should be in a strategic height, cultivate long- term competitive advantage. Cost management is a new tool to enhance the competitiveness of enterprises, Popularization and application of Construction project management to the scientific development of the project management made the following three aspects urgent requirement. First. establish a scientific system for the construction project management. Construction Project Management knowledge system is the foundation and needs for Construction Project Management scientific and professional.展开更多
Dimensionality reduction is often used to project time series data from multidimensional to two-dimensional space to generate visual representations of the temporal evolution.In this context,we address the problem of ...Dimensionality reduction is often used to project time series data from multidimensional to two-dimensional space to generate visual representations of the temporal evolution.In this context,we address the problem of multidimensional time series visualization by presenting a new method to show and handle projection errors introduced by dimensionality reduction techniques on multidimensional temporal data.For visualization,subsequent time instances are rendered as dots that are connected by lines or curves to indicate the temporal dependencies.However,inevitable projection artifacts may lead to poor visualization quality and misinterpretation of the temporal information.Wrongly projected data points,inaccurate variations in the distances between projected time instances,and intersections of connecting lines could lead to wrong assumptions about the original data.We adapt local and global quality metrics to measure the visual quality along the projected time series,and we introduce a model to assess the projection error at intersecting lines.These serve as a basis for our new uncertainty visualization techniques that use different visual encodings and interactions to indicate,communicate,and work with the visualization uncertainty from projection errors and artifacts along the timeline of data points,their connections,and intersections.Our approach is agnostic to the projection method and works for linear and non-linear dimensionality reduction methods alike.展开更多
In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous clients.Resources are in self-administration;consequent...In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous clients.Resources are in self-administration;consequently,clients can adjust their usage according to their requirements.Resource usage is estimated and clients can pay according to their utilization.In literature,the existing method describes the usage of various hardware assets.Quality of Service(QoS)needs to be considered for ascertaining the schedule and the access of resources.Adhering with the security arrangement,any additional code is forbidden to ensure the usage of resources complying with QoS.Thus,all monitoring must be done from the hypervisor.To overcome the issues,Robust Resource Allocation and Utilization(RRAU)approach is developed for optimizing the management of its cloud resources.The work hosts a numerous virtual assets which could be expected under the circumstances and it enforces a controlled degree of QoS.The asset assignment calculation is heuristic,which is based on experimental evaluations,RRAU approach with J48 prediction model reduces Job Completion Time(JCT)by 4.75 s,Make Span(MS)6.25,and Monetary Cost(MC)4.25 for 15,25,35 and 45 resources are compared to the conventional methodologies in cloud environment.展开更多
The purpose of this paper is to examine the relationships between service quality （SQ） and customer satisfaction （CS） in the Malaysian healthcare system. The study is significant due to the environmental pressures...The purpose of this paper is to examine the relationships between service quality （SQ） and customer satisfaction （CS） in the Malaysian healthcare system. The study is significant due to the environmental pressures such as the demographic changes, the aging of populations, the emergence of new treatments and technologies, and the increased insistence on grater quality of service. A service satisfaction survey was conducted among visitors （either patients or their relatives and friends） that visited hospitals （both public and private） in 10 regions in Malaysia. A total of 1,000 questionnaires were distributed purposively to these visitors, of which 925 questionnaires were returned for further analysis, yielding a response rate of 92.5 percent. The study found that among the eight dimensions of SQ tested, safety measures were not at all significantly related to CS as compared with the other seven dimensions. On a detailed note, the quality satisfaction of customers is very much influenced by infrastructure （0.121）, clinical care （0.601）, and trustworthiness of the hospitals （0.139）. Also as noted, the time satisfaction of customers is influenced by personnel quality （0.102）, administrative procedures （0.562）, and trustworthiness of the hospitals （0.168）. Whilst the cost satisfaction of customers is influenced by administrative procedure （0.101）, corporate image （0.130）, social responsibility （0.315）, and trustworthiness of the hospitals （0.261）. On overall, the findings of this study suggest that trustworthiness and administrative procedures are the two most important factors that influence satisfaction of customers that the Malaysian healthcare industry should take a good care of.展开更多
Nowadays, construction projects became more complex, where the responsibility of construction manager is to control and plan the project resources in a professional way to handover the project in terms of time, cost, ...Nowadays, construction projects became more complex, where the responsibility of construction manager is to control and plan the project resources in a professional way to handover the project in terms of time, cost, and quality. The aim of this study is to analyze the affect of the long experience of the construction manager on project success; it aims to identify the capability skills that the construction manager should have to complete the project on time. The fmding of this study is to help in understanding the factors that influence the project success through the long experience of the construction manager.展开更多
时间序列早期分类(ETSC)有两个矛盾的目标:早期性和准确率。分类早期性的实现,总是以牺牲它的准确率为代价。现有基于优化的多变量时间序列(MTS)早期分类方法,虽然在成本函数中考虑了错误分类成本和延迟决策成本,却忽视了MTS数据集样本...时间序列早期分类(ETSC)有两个矛盾的目标:早期性和准确率。分类早期性的实现,总是以牺牲它的准确率为代价。现有基于优化的多变量时间序列(MTS)早期分类方法,虽然在成本函数中考虑了错误分类成本和延迟决策成本,却忽视了MTS数据集样本之间的局部结构对分类性能的影响。针对这个问题,提出一种基于正交局部保持映射(OLPP)和成本优化的MTS早期分类模型(OLPPMOAE)。首先,使用OLPP将MTS样本前缀映射到低维空间,保持原数据集的局部结构;其次,在低维空间训练一组高斯过程(GP)分类器,生成训练集每个时刻的类概率;最后,使用粒子群优化(PSO)算法从这些类概率中学习停止规则中的最优参数。在6个MTS数据集上的实验结果表明,在早期性基本持平的情况下,OLPPMOAE的准确率显著高于基于成本的R1_C_(lr)(stopping Rule and Cost function with regularization term l_(1)and l_(2))模型,平均准确率能够提升11.33%~15.35%,调和均值(HM)能够提升4.71%~9.01%。因此,所提模型能够以较高的准确率尽早地分类MTS。展开更多
文摘Cost and time overrun are the key troubles of any improvement ventures. These troubles are inflicting the terrible end result in the development of kingdom monetary improvement and thriving. To overcome these problems, the?paper examines predominant impact on elements causing the mission postponement and cost. A poll review was led for the situation study embracing various information-gathering procedures. The discoveries from the contextual investigation uncovered that the most persuasive factors in Malaysia:?1) contractor’s inappropriate arranging, 2) poor site the board, 3) deficient contractual worker experience,?are the most powerful factors. This paper has likewise broken down the normal and least effective of the postpone variables causing task deferral and cost overrun in Malaysia. It likewise infers that there are various measures as per the idea of deferring components to decrease the effect on task postponement and cost overruns in the development industry.?There are significant factors in the control of time overrun that would be actual thought related to know and tackle in great impact to improvement rate which may additionally no capacity that be recovered. Thirty (30) massive development extensions in Malaysia were exceptional coping with time overrun at some stage in development. Out of 30 undertakings, 17 (56.67%) ventures had been introduced by using 1100 days’ time overrun, 5 (16.67%) extensions in the middle of a hundred and one to 200 days, 5 (16.67%) ventures?201 to 300 days while three (10%) ventures have been deferred for timeframe over 300 days.
文摘Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the optimal levels of activity durations and activity costs which satisfy the project goal(s), leads to a balance between the project completion time and the project total cost. A large amount of literature has studied this problem under various behavior of cost function. But, in all of them, influence of discount has not been in-vestigated. Hence, in this paper, TCTP would be studied considering the influence of discount on the re-source price, using genetic algorithm (GA). The performance of proposed idea has been tested on a medium scale test problem and several computational experiments have been conducted to investigate the appropriate levels of proposed GA considering accuracy and computational time.
文摘Construction project management as an important branch of management science has its own characteristics; it was known as an important aspect of project management in the 21 st century. Construction companies now face a more complex competitive environment and more powerful competitors. In order to compete for the market and living space, Enterprises should be in a strategic height, cultivate long- term competitive advantage. Cost management is a new tool to enhance the competitiveness of enterprises, Popularization and application of Construction project management to the scientific development of the project management made the following three aspects urgent requirement. First. establish a scientific system for the construction project management. Construction Project Management knowledge system is the foundation and needs for Construction Project Management scientific and professional.
基金Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)under Germany’s Excellence Strategy–EXC-2075–390740016.
文摘Dimensionality reduction is often used to project time series data from multidimensional to two-dimensional space to generate visual representations of the temporal evolution.In this context,we address the problem of multidimensional time series visualization by presenting a new method to show and handle projection errors introduced by dimensionality reduction techniques on multidimensional temporal data.For visualization,subsequent time instances are rendered as dots that are connected by lines or curves to indicate the temporal dependencies.However,inevitable projection artifacts may lead to poor visualization quality and misinterpretation of the temporal information.Wrongly projected data points,inaccurate variations in the distances between projected time instances,and intersections of connecting lines could lead to wrong assumptions about the original data.We adapt local and global quality metrics to measure the visual quality along the projected time series,and we introduce a model to assess the projection error at intersecting lines.These serve as a basis for our new uncertainty visualization techniques that use different visual encodings and interactions to indicate,communicate,and work with the visualization uncertainty from projection errors and artifacts along the timeline of data points,their connections,and intersections.Our approach is agnostic to the projection method and works for linear and non-linear dimensionality reduction methods alike.
文摘In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous clients.Resources are in self-administration;consequently,clients can adjust their usage according to their requirements.Resource usage is estimated and clients can pay according to their utilization.In literature,the existing method describes the usage of various hardware assets.Quality of Service(QoS)needs to be considered for ascertaining the schedule and the access of resources.Adhering with the security arrangement,any additional code is forbidden to ensure the usage of resources complying with QoS.Thus,all monitoring must be done from the hypervisor.To overcome the issues,Robust Resource Allocation and Utilization(RRAU)approach is developed for optimizing the management of its cloud resources.The work hosts a numerous virtual assets which could be expected under the circumstances and it enforces a controlled degree of QoS.The asset assignment calculation is heuristic,which is based on experimental evaluations,RRAU approach with J48 prediction model reduces Job Completion Time(JCT)by 4.75 s,Make Span(MS)6.25,and Monetary Cost(MC)4.25 for 15,25,35 and 45 resources are compared to the conventional methodologies in cloud environment.
文摘The purpose of this paper is to examine the relationships between service quality （SQ） and customer satisfaction （CS） in the Malaysian healthcare system. The study is significant due to the environmental pressures such as the demographic changes, the aging of populations, the emergence of new treatments and technologies, and the increased insistence on grater quality of service. A service satisfaction survey was conducted among visitors （either patients or their relatives and friends） that visited hospitals （both public and private） in 10 regions in Malaysia. A total of 1,000 questionnaires were distributed purposively to these visitors, of which 925 questionnaires were returned for further analysis, yielding a response rate of 92.5 percent. The study found that among the eight dimensions of SQ tested, safety measures were not at all significantly related to CS as compared with the other seven dimensions. On a detailed note, the quality satisfaction of customers is very much influenced by infrastructure （0.121）, clinical care （0.601）, and trustworthiness of the hospitals （0.139）. Also as noted, the time satisfaction of customers is influenced by personnel quality （0.102）, administrative procedures （0.562）, and trustworthiness of the hospitals （0.168）. Whilst the cost satisfaction of customers is influenced by administrative procedure （0.101）, corporate image （0.130）, social responsibility （0.315）, and trustworthiness of the hospitals （0.261）. On overall, the findings of this study suggest that trustworthiness and administrative procedures are the two most important factors that influence satisfaction of customers that the Malaysian healthcare industry should take a good care of.
文摘Nowadays, construction projects became more complex, where the responsibility of construction manager is to control and plan the project resources in a professional way to handover the project in terms of time, cost, and quality. The aim of this study is to analyze the affect of the long experience of the construction manager on project success; it aims to identify the capability skills that the construction manager should have to complete the project on time. The fmding of this study is to help in understanding the factors that influence the project success through the long experience of the construction manager.
文摘时间序列早期分类(ETSC)有两个矛盾的目标:早期性和准确率。分类早期性的实现,总是以牺牲它的准确率为代价。现有基于优化的多变量时间序列(MTS)早期分类方法,虽然在成本函数中考虑了错误分类成本和延迟决策成本,却忽视了MTS数据集样本之间的局部结构对分类性能的影响。针对这个问题,提出一种基于正交局部保持映射(OLPP)和成本优化的MTS早期分类模型(OLPPMOAE)。首先,使用OLPP将MTS样本前缀映射到低维空间,保持原数据集的局部结构;其次,在低维空间训练一组高斯过程(GP)分类器,生成训练集每个时刻的类概率;最后,使用粒子群优化(PSO)算法从这些类概率中学习停止规则中的最优参数。在6个MTS数据集上的实验结果表明,在早期性基本持平的情况下,OLPPMOAE的准确率显著高于基于成本的R1_C_(lr)(stopping Rule and Cost function with regularization term l_(1)and l_(2))模型,平均准确率能够提升11.33%~15.35%,调和均值(HM)能够提升4.71%~9.01%。因此,所提模型能够以较高的准确率尽早地分类MTS。
