Automated Risk Scenario Generation Using System Functional and Structural Knowledge

2005 ◽  
Author(s):  
Hamed Nejad ◽  
Ali Mosleh
Keyword(s):  
Physical Structure ◽  
Primary Objective ◽  
Structural Knowledge ◽  
Scenario Generation ◽  
Generation Process ◽  
Functional Requirements ◽  
Risk Simulation ◽  
Risk Scenario ◽  
High Level ◽  
Difficult Situations

Simulation may be the most practical way to assess the risk of systems with complex behaviors such as those that include hardware, software and human elements. However, since under normal design conditions human-designed systems generally perform in familiar and expected ways, a typical simulation will frequently lead to known and anticipated results. As such, the simulation program wastes a lot of time on familiar results without generating new knowledge about the system’s vulnerabilities. In order to increase our knowledge of risk, it would be preferable to push the system toward its limits to test the system’s ability to handle more difficult situations. Such an approach can help system designers to better understand risky situations and close the vulnerability gaps in their design. The primary objective of this study is to develop a risk simulation Planner (SimpraPlan) which generates scenarios that can explore the system’s vulnerabilities and offer a superior assessment of the risks involved. The Planner uses high level engineering knowledge (including the functional requirements and physical structure of the system) to generate scenarios that can exploit the system’s vulnerabilities. In this paper, the scenario generation process is explained in detail and scenarios generated by the SimpraPlan are compared with those generated by classical approaches to risk assessment.

scholarly journals Risk Scenario Generation Based on Importance Measure Analysis

2018 ◽  
Vol 10 (9) ◽  
pp. 3207 ◽  
Author(s):  
Xing Pan ◽  
Lunhu Hu ◽  
Ziling Xin ◽  
Shenghan Zhou ◽  
Yanmei Lin ◽  
...  
Keyword(s):  
Scenario Generation ◽  
Importance Measure ◽  
System Failure ◽  
Generation Process ◽  
Risk Scenarios ◽  
Comparison Results ◽  
Engineering Activity ◽  
Risk Event ◽  
Measure Analysis ◽  
Risk Scenario

A risk scenario is a combination of risk events that may result in system failure. Risk scenario analysis is an important part of system risk assessment and avoidance. In engineering activity-based systems, important risk scenarios are related to important events. Critical activities, meanwhile, mean risk events that may result in system failure. This article proposes these definitions of risk event and risk scenario based on the characteristics of risk in engineering activity-based systems. Under the proposed definitions, a risk scenario framework generated based on importance measure analysis is given, in which critical activities analysis, risk event identification, and risk scenario generation are the three main parts. Important risk events are identified according to activities’ uncertain importance measure and important risk scenarios are generated on the basis of a system’s critical activities analysis. In the risk scenario generation process based on importance analysis, the importance degrees of network activities are ranked to identify the subject of risk events, so that risk scenarios can be combined and generated by risk events and the importance of scenarios is analyzed. Critical activities are analyzed by Taguchi tolerance design, mathematical analysis, and Monte Carlo simulation methods. Then the degrees of uncertain importance measure of activities are solved by the three methods and these results are compared. The comparison results in the example show that the proposed method of uncertain importance measure is very effective for distinguishing the importance level of activities in systems. The calculation and simulation results also verify that the risk events composed of critical activities can generate risk scenarios.

Functional Requirements - Workflow

2003 ◽  
pp. 375-387
Author(s):  
Len Asprey ◽  
Michael Middleton
Keyword(s):  
Web Sites ◽  
Workflow Management ◽  
Primary Objective ◽  
Management Systems ◽  
Functional Requirements ◽  
Web Content ◽  
Workflow Management Systems ◽  
Controlled Processes ◽  
High Level

In Chapter 4, we reviewed how workflow management systems might be considered an integral component of IDCM architecture. We discussed the high-level functionality of workflow management systems and considered some of their capabilities. We noted that workflow management systems extend the functionality of core document and Web content repository services by enabling the controlled distribution of documents for review and approval. Furthermore, they also support controlled processes for publishing new or updated content to Internet and intranet Web sites. Our primary objective in this chapter is to extend our discussion on the role of workflow within the context of IDCM by reviewing the types of functional requirements to be specified when analyzing and determining business and technology options for integrating workflow with document and content repositories.

scholarly journals Status of Mental Toughness of the Citizens of Ahmedabad

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Rajul Mallik
Keyword(s):  
Mental Toughness ◽  
Law And Order ◽  
Lower Side ◽  
Government Employees ◽  
The People ◽  
Bank Employees ◽  
High Level ◽  
Difficult Situations ◽  
Score Range ◽  
Better Than

A survey was conducted to find out the level of mental toughness of the people of Ahmedabad city in view of rising suicide rates and cases of depression. Mental toughness is frequently used to refer to any set of positive attributes that helps a person to cope with difficult situations. It is a psychological edge that allows a person to cope better than the competition with the demands that are placed on her/him. A sample size of 990, all above the age of 18 years and belonging to various walks of society, was drawn. Data was collected using a questionnaire containing 18 items related to mental toughness. The survey result showed that mental toughness of the citizens of Ahmedabad city falls in the range of average. However, those who are in the police show the higher side of average mental toughness level. Their mean score was 64.11. The cops who often have to take tough decisions in the call of duty to enforce law and order are closely followed by teachers with a mean score of 63.73 and sports persons with a mean score of 63.22. Doctors who often have to take dispassionate decisions while treating their patients are close on their heels with a mean score of 63.00. Lawyers (61.95), government employees (61.29), college students (61.16) and bank employees (61.13) are the next in mental toughness. The survey also covered home-makers. They were found on the lower side of average range of score with a mean score of 60.54. Notably, the score range of 70-90 shows high level of mental toughness, 58-69 average mental toughness and 18-57 low mental toughness.

scholarly journals Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion

2022 ◽  
Vol 12 ◽  
Author(s):  
Xin Duan ◽  
Wei Wang ◽  
Minghui Tang ◽  
Feng Gao ◽  
Xudong Lin
Keyword(s):  
Metric Learning ◽  
Cell Types ◽  
Primary Objective ◽  
The Self ◽  
Cellular Heterogeneity ◽  
Clustering Methods ◽  
Local Scaling ◽  
Self Diffusion ◽  
Cell Clustering ◽  
High Level

Identifying the phenotypes and interactions of various cells is the primary objective in cellular heterogeneity dissection. A key step of this methodology is to perform unsupervised clustering, which, however, often suffers challenges of the high level of noise, as well as redundant information. To overcome the limitations, we proposed self-diffusion on local scaling affinity (LSSD) to enhance cell similarities’ metric learning for dissecting cellular heterogeneity. Local scaling infers the self-tuning of cell-to-cell distances that are used to construct cell affinity. Our approach implements the self-diffusion process by propagating the affinity matrices to further improve the cell similarities for the downstream clustering analysis. To demonstrate the effectiveness and usefulness, we applied LSSD on two simulated and four real scRNA-seq datasets. Comparing with other single-cell clustering methods, our approach demonstrates much better clustering performance, and cell types identified on colorectal tumors reveal strongly biological interpretability.

Optimization of Multi-Period Rail Procurement Plan

2021 ◽  
pp. 036119812110586
Author(s):  
Hsin-Cheng Shih ◽  
Chih-Heng Yeh ◽  
Yung-Cheng Lai
Keyword(s):  
Sensitivity Analysis ◽  
Asset Management ◽  
Storage Capacity ◽  
Optimization Models ◽  
Scenario Generation ◽  
Generation Process ◽  
Railway Infrastructure ◽  
Procurement Cost ◽  
Metro System ◽  
Procurement Planning

Rail is one of the most expensive assets in railway infrastructure. Therefore, a well-prepared rail procurement plan could benefit the asset management. For the metro system in Taiwan, the rail procurement plan includes two major uncertainties, namely, currency rates and the global steel price. In this study, we propose deterministic and stochastic optimization models using a scenario-generation process to minimize the expected cost of the rail procurement plan. Results from the case studies demonstrate that the proposed models can successfully incorporate the uncertainties and obtain the optimal procurement plan. The sensitivity analysis on budget, storage capacity, and expiration period also provides the metro operator the best strategy to further lower the procurement cost. Adopting these models in rail procurement planning can improve the process and results of rail asset management.

New construction ideas for special housing complexes

2019 ◽  
Author(s):  
Franco Mola ◽  
Antonio Migliacci ◽  
Elena Mola ◽  
Alejandro Erick Antelo ◽  
Riccardo Soffientini
Keyword(s):  
Primary Objective ◽  
Design Guidelines ◽  
Distinctive Features ◽  
City Environment ◽  
New Construction ◽  
Design Idea ◽  
High Level ◽  
Complex Scenario ◽  
Structural Solutions ◽  
Design Construction

<p>The problems concerning the design, construction and use of buildings in a city environment or even other, less dense, environments, constitute a complex scenario in which various different disciplines are called to give their contribution: energy efficiency, reduction of the footprint, comfort, affordability and new living standards all play a key role in the design of new housing solutions. In the present paper, a new design idea is presented for the construction of buildings, capable of guaranteeing a high level of comfort for the users while safeguarding the surrounding territory. The proposed system, named GEODE, consists of a 120m diameter spherical steel or concrete structure with internal cores acting as shear-resistant elements. The shell contains five decks supported by mega-beams, on which 5-story high buildings can be erected, following design guidelines that have as a primary objective the preservation of high livability conditions. Among the defining characteristics of the system are its enhanced performance with respect to buildings of equal volume but different shape and the possibility of building the spherical shell using two different structural materials. These are distinctive features, which allow for the construction of small self-sufficient cities that synergically interact with their surrounding environment. In the present paper, an initial feasibility study is presented while the performance of different possible structural solutions, i.e. using R.C. or steel elements, are compared.</p>

Identifying Requirements for Healthcare Information Systems with Focus Groups

2013 ◽  
pp. 491-510 ◽  
Author(s):  
Carla Farinha ◽  
Miguel Mira da Silva
Keyword(s):  
Information System ◽  
Information Systems ◽  
Focus Groups ◽  
Healthcare Industry ◽  
Functional Requirements ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Preliminary Results ◽  
Hospital Managers ◽  
High Level

Healthcare Information Systems (HIS) are essential in the healthcare industry since they manipulate vital information. For example, HIS may keep track of the patient’s medical history, avoiding mistakes with medications, dosages, and treatments. However, the traditional methods for identifying HIS requirements focus on specifying functional requirements for the software. Moreover, system scope should be fully understood by stakeholders, such as healthcare workers and hospital managers, something extremely difficult to achieve in practice. As such, many requirements are incomplete, missing, or not needed, leading to expensive and inadequate HIS. The authors identify requirements for Healthcare Information System using Focus Groups. They evaluate this method with experiments, applying a variety of techniques and having encouraging preliminary results. In particular, they verify that stakeholders can reach consensus on high-level requirements by discussing different perspectives about the system scope. The authors conclude that Focus Groups are really effective.

Gender Disparity in Educational Achievement in India

2021 ◽  
pp. 45-57
Author(s):  
Satya Sekhar Venkata Gudimetla
Keyword(s):  
Primary Education ◽  
Educational Achievement ◽  
Gender Disparity ◽  
Primary Objective ◽  
Literacy Achievement ◽  
Literacy Rate ◽  
Factors Influencing ◽  
Minimum Capacity ◽  
Female Literacy ◽  
High Level

The primary objective of this chapter is to focus on progress of literacy achievement in India and factors influencing literacy rate are identified with regression models. A gender disparity index is prepared to analyse trends in differentials among male-female literacy achievement. India is now facing the challenge of achieving universalization of primary education to achieve status of a ‘literate country'. It is known fact that literacy and primary education are interdependent. A literate country will be a progressive-oriented country. It is observed that educational backwardness is due to various reasons like unsatisfactory progress of policy implementation, high level of illiteracy and dropout rates. Literacy rate is the best possible barometer to judge the level of educational awakening in a state, leading to a minimum capacity for self-learning. The empirical evidence substantiates the factors influencing educational achievement.

An Osmosis-Based Intelligent Agent Scheduling Framework for Cloud Bursting in a Hybrid Cloud

2020 ◽  
Vol 11 (3) ◽  
pp. 68-88
Author(s):  
Preethi Sheba Hepsiba ◽  
Grace Mary Kanaga E.
Keyword(s):  
Biological Process ◽  
Intelligent System ◽  
Primary Objective ◽  
Hybrid Cloud ◽  
Indirect Impact ◽  
Agent Scheduling ◽  
Cloud Bursting ◽  
Two Phases ◽  
High Level

An intelligent system to efficiently provision resources in a hybrid cloud environment is necessary due to the high level of complexity. The semi-permeable agent for hybrid cloud scheduling (SPAH) is a bio-inspired agent that adapts the biological process of osmosis into cloud bursting. The primary objective of the agent is to minimize the makespan. The framework and algorithm for the two phases of SPAH, to recognize the state and decide on action are presented. A QoS (Quality of Service) deadline factor metric is proposed to study the indirect impact of SPAH in deadline satisfaction. SPAH shows significant improvement in deadline satisfaction of up to 85% as compared to other cloud bursting techniques. This is the result of a reduced makespan and a reduced cumulative waiting time. The analysis of SPAH shows that it works in quadratic time complexity.

A Configurable Module Based Technology for Complex Engineering Process Management Systems

2005 ◽  
Author(s):  
Bin Song ◽  
Zenzhi Li ◽  
Yintai Ao ◽  
Xuejian Xiao ◽  
Hong Zhou ◽  
...  
Keyword(s):  
Management System ◽  
Process Model ◽  
Process Management ◽  
Functional Requirements ◽  
Engineering Process ◽  
Make To Order ◽  
Complex Process ◽  
Function Modules ◽  
Function Module ◽  
High Level

An integrated end-to-end lifecycle engineering process management system is deemed critical to boost the manageability, efficiency and responsiveness of an engineering enterprise. The challenge lies in the realization of such a system that is flexible and scalable. To overcome the challenge, a configurable module based system technology is developed to simplify the realization of a complex process management system and to offer the system a high level of flexibility and scalability. The technology is based on the belief that a complex process management system can be built by a set of static and process-based function modules. Each of the function modules consists of a set of categorized elements to meet the desired functional requirements. These categorized elements can be extracted into a unified process model upon which a configurable modular can be developed. The modular can be configured into a desired function module with specific functional requirements. The assignment of the function modules to the specific roles at the lifecycle processes forms a system. The technology has been successfully applied in a company specializing in make-to-order operations.

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