A self-organized structure for mobility management in wireless networks0 تومان
The objective of this work is to analyse performance of unstable mobile nodes with selforganization structures in Delay Tolerant Networks (DTN). This process enables the nodes to utilize their power fairly, and ensures that the links are established between nodes and used to improve the connectivity. In this paper two approaches are proposed: 1. Self-Healing (SH) and 2. Unstable Topology Structure (UTS) approaches based on localized computations. The proposed work is proven with simulations by analysing node degree, coverage area and Quality of Service (QoS) parameters. The performance of the work is analysed in a network simulator with mathematical models.
An expert system hybrid architecture to support experiment management0 تومان
Specific expert systems are used for supporting, speeding-up and adding precision to in silico experimentation in many domains. In particular, many experimentalists exhibit a growing interest in workflow management systems for making a pipeline of experiments. Unfortunately, these type of systems does not integrate a systematic approach or a support component for the workflow composition/reuse. For this reason, in this paper we propose a knowledge-based hybrid architecture for designing expert systems that are able to support experiment management. This architecture defines a reference cognitive space and a proper ontology that describe the state of a problem by means of three different perspectives at the same time: procedural, declarative and workflow-oriented. In addition, we introduce an instance of our architecture, in order to demonstrate the features of the proposed work. In particular, we model a bioinformatics case study, according to the proposed hybrid architecture guidelines, in order to explain how to design and integrate required knowledge into an interactive system for composition and running of scientific workflows.
Asset Management Software Implementation Challenges for Electricity Companies0 تومان
Electricity markets across Europe have changed significantly over the last years as market liberalization, changing power generation dynamics, privatization and structural change have replaced the state in which European energy was before. The European Commission expects that the internal European Market should run as one market without restrictions on the individual borders. The change continues with ongoing moves for further market liberalization and competition with a number of major European energy businesses. To be ready for such alternation, businesses need to redesign their existing business processes using ICT solutions as an important enabling factor. Current article analyzes the main challenges of implementation phase of Asset Management software. The challenges are analyzed in example of Estonian power utility Eesti Energia locating in Republic of Estonia, which Distribution and Transmission Network companies are currently implementing Asset Management software within project called VHT. The project’s 1st phase go live date is the 1st of June, 2009 .
Big Data: The Management Revolution0 تومان
There’s much wisdom in that saying, which has been attributed to both W. Edwards Deming and Peter Drucker, and it explains why the recent explosion of digital data is so important. Simply put, because of big data, managers can measure, and hence know, radically more about their businesses, and directly translate that knowledge into improved decision making and performance. Consider retailing. Booksellers in physical stores could always track which books sold and which did not. If they had a loyalty program, they could tie some of those purchases to individual customers. And that was about it. Once shopping moved online, though, the understanding of customers increased dramatically. Online retailers could track not only what customers bought, but also what else they looked at; how they navigated through the site; how much they were inﬂuenced by promotions, reviews, and page layouts; and similarities across individuals and groups. Before long, they developed algorithms to predict what books individual customers would like to read next—algorithms that performed better every time the customer responded to or ignored a recommendation. Traditional retailers simply couldn’t access this kind of information, let alone act on it in a timely manner. It’s no wonder that Amazon has put so many brick-and-mortar bookstores out of business.
Capability maturity models for offshore organisational management0 تومان
The goal setting regime imposed by the UK safety regulator has important implications for an organisation’s ability to manage health and safety related risks. Existing approaches to safety assurance based on risk analysis and formal safety assessments are increasingly considered unlikely to create the step change improvement in safety to which the offshore industry aspires and alternative approaches are being considered. One approach, which addresses the important issue of organisational behaviour and which can be applied at a very early stage of design, is the capability maturity model (CMM). The paper describes the development of a design safety capability maturity model, outlining the key processes considered necessary to safety achievement, definition of maturity levels and scoring methods. The paper discusses how CMM is related to regulatory mechanisms and risk based decision making together with the potential of CMM to environmental risk management.
Carrier extraction based synchronization scheme for distributed DC–DC converters in DC-Microgrid0 تومان
In this paper, a novel PWM carrier synchronization method is proposed for distributed DC–DC converters in DC-Microgrids. The synchronization method is based on carrier frequency extraction from DC-bus voltage ripple. In addition, an advanced phase shift control algorithm for the synchronized carriers is implemented to reduce the DC bus voltage ripple contents. A DC-Microgrid encompassing different distributed energy resources with their DC–DC converters is modeled using Matlab\Simulink to test the proposed synchronization method and control algorithm. Then, a small power scale experimental testbed is built in order to validate the simulation results. The simulation and the experimental results demonstrated that the proposed method and algorithm are very promising to minimize DC-bus ripple contents in DC-Microgrid applications.
Changing Paradigms in the Management of Breast Cancer0 تومان
Breast imaging plays a critical role in the detection, diagnosis, and management of women diagnosed with breast cancer. Although there are a multitude of risk factors associated with breast cancer, such as female gender, increasing age, and family history, the density of breast tissue as evident on mammography has more recently been identifed as an independent risk factor . Although some studies suggest that the lifetime risk increases by four to six times for women with dense breast tissue, this is misleading as this compares women with extremely dense tissue to women with predominantly fatty breasts, both of which represent a minority of the population . More realistically, the lifetime risk is only increased by 1.2–2.1 times in a woman with heterogeneously dense or extremely dense breasts, respectively, when compared to the average woman who has scattered fbroglandular tissue. However, as breast density is known to lower the sensitivity of mammography due to “masking” of cancers, the integration of newer modalities for the management of newly diagnosed breast cancer, such as digital breast tomosynthesis, ultrasound, and magnetic resonance imaging (MRI), continues to evolve. In addition, recent legislative efforts that mandate direct patient otifcation of breast density exist in nearly 50% of states in the USA. Consequently, there is a growing research on developing more sensitive and specifc tools to “see through” the dense tissue and therefore permit earlier cancer detection, which should translate into improved outcomes.
Clinical Management of Pulmonary Disorders and Diseases0 تومان
Non-small cell lung cancer (NSCLC) is a serious health problem. Identifying factors affecting quality of life (QoL) may help modify risk factors and improve survival. The study included 180 patients treated for NSCLC in the Lower Silesian Center of Lung Diseases between January and December 2015. QoL was assessed with QLQ-C30 and QLQ-LC13 scales. General physical functioning was measured with the ECOG Performance Status scale. The clinical and sociodemographic data were retrieved from medical records. The influence of clinical and sociodemographic factors on QoL was examined. NSCLC reduced the global QoL (47.1 23.4) and emotional functioning (57.8 28.8); cognitive functioning was affected in least (76.0 21.0). The patients reported fatigue (42.2 26.2), sleep problems (42.0 30.8), cough (49.8 24.0), and taking analgesics (50.3 37.1) as the most limiting factors. The worsening of a health condition expressed by the length of malignant disease; the presence of comorbidities, metastases, the cluster of symptoms, worse spirometric indices, and living alone had a negative influence on QoL. In conclusion, patients with NSCLC experience reduced QoL and emotional functioning. Proper treatment of comorbidities and symptom management may improve QoL in these patients.
Cloud resource management: A survey on forecasting and profiling models0 تومان
With the rise of cloud computing, a huge complexity growth of the structure that is the base of the Cloud happens. Thus, to effectively manage applications and resources it is crucial the use of models and tools that create an application profile which is used to apply forecasting models to determine the most suitable amount of resource for each workload. There are models and tools that address the creation of an application profile to later apply some forecasting technique and estimate the amount of resource needed for a workload. Therefore, this paper aims to present a taxonomy for application profiling models and tools, presenting its main characteristics, challenges, describing and comparing such models and tool. At the end this work presents a discussion about the use of application profiling and its future research trends.
CogNet: A Network Management Architecture Featuring Cognitive Capabilities0 تومان
It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-tomachine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic selfmanaging network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) realtime learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks.
Country Risk Ratings and Stock Market Movements: Evidence from Emerging Economy0 تومان
The empirically relationship between Saudi Arabia’s country risk ratings; political, economic, and financial components and its stock market movements is examine from both short and long-run perspectives in this paper. The Autoregressive Distributed Lag (ARDL) methodology is the main instrument of investigation to explore their interdependencies. We find that the country credit risk ratings have a close association with the Saudi Arabia stock market movements. The financial risk factor displays the highest level of sensitivity among all the credit risk ratings. It is sensitive to both economic risk rating and the stock market returns. This development implies that financial risk indicators such as foreign debt servicing, current account balance and exchange rate stability among others should be considered before any strategic investment decision in the country. There is reduced or insignificant political risk sensitivity to other variables. This shows that political risk rating issues are relatively the least considered in Saudi Arabia as shown in this study.
Design and development of logistics workflow systems for demand management with RFID0 تومان
This paper discusses demand and supply chain management and examines how artificial intelligence techniques and RFID technology can enhance the responsiveness of the logistics workflow. This proposed system is expected to have a significant impact on the performance of logistics networks by virtue of its capabilities to adapt unexpected supply and demand changes in the volatile marketplace with the unique feature of responsiveness with the advanced technology, Radio Frequency Identification (RFID). Recent studies have found that RFID and artificial intelligence techniques drive the development of total solution in logistics industry. Apart from tracking the movement of the goods, RFID is able to play an important role to reflect the inventory level of various distribution areas. In today’s globalized industrial environment, the physical logistics operations and the associated flow of information are the essential elements for companies to realize an efficient logistics workflow scenario. Basically, a flexible logistics workflow, which is characterized by its fast responsiveness in dealing with customer requirements through the integration of various value chain activities, is fundamental to leverage business performance of enterprises. The significance of this research is the demonstration of the synergy of using a combination of advanced technologies to form an integrated system that helps achieve lean and agile logistics workflow .
Dividend Policy from the Signaling Perspective and its Effects on Information Asymmetry among Management and Investors0 تومان
This study attempts to examine the relevance of dividend policy from the signaling perspective and its effects on information asymmetry among management and investors and Compare the relative information content of them. Based on sampling, 88 firms from Tehran Stock Exchange (TSE) were selected and examined during 2003 to 2010. The findings show that the dividend policy (Divisible profit proportion) has positive and significant relation with market information asymmetry namely when the dividend policy increases the information asymmetry increases, too. On the other side, the test findings indicate the investors are sensitive to the EPS changes and when the EPS changes are positive their dividend increases, but when the divivend of the company decreases the information boggles their mind and information asymmetry increases. By virtue of the findings it may conclude when EPS and DPS changes are not in the same direction the internal and external information asymmetry of the company increases by changing profit division policy.
Emergency Department Management of Obstetric Complications0 تومان
Pregnant patients often present to the emergency department (ED) with chief complaints of abdominal pain and/or vaginal bleeding in the frst trimester .Women presenting to the ED in early pregnancy may not be aware of their pregnancy status; it is critical that emergency clinicians test for pregnancy in any woman of childbearing age with abdominal pain or vaginal bleeding. Helpful historical clues include date of last menstrual period (LMP) and, for patients who are aware they are pregnant, whether or not they have had an ultrasound with this pregnancy. Complications such as pain and bleeding in early pregnancy are common. Indeed, one fourth of women will have vaginal bleeding or spotting in the frst few weeks of pregnancy, and one half of those patients will miscarry . Ultimately these patients will receive a diagnosis of threatened miscarriage, miscarriage, pregnancy of unknown location, ectopic pregnancy, or, rarely, heterotopic pregnancy. Some complications such as ectopic pregnancy may be life threatening; others are emotionally devastating and may impact future fertility. Emergency physicians must be prepared to evaluate and manage the various complications of early pregnancy.
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