This dissertation presents the principles and examples for building AMI for UML-based modeling environments. Modelers may use proposed AMI interface to extend UML modeling tools by modeling plug-ins using modeling tools itself. The work discusses four cases of AMI realization implemented in MagicDraw UML. Moreover, the proposed AMI implementation might be realized in other modeling tools that provide API and access to the model elements via standard UML metamodel interfaces. The ideas and results of this dissertation can be directly applied in numerous UML modeling tools available in the market. Although the focus in this dissertation is on UML modeling tools, many ideas are also applicable in other software systems that are developed using model driven approach. / Šiame darbe yra pristatoma modeliavimu grindžiama praplėtimo sąsaja, kurią siūloma vadinti aplikacijos modeliavimo sąsaja (angl. Application Modeling Interface, AMI). Modeliuotojai, naudodami siūlomą aplikacijos modeliavimo sąsają, gali kurti UML įrankių įskiepius juos modeliuodami pačių UML įrankių pagalba. Darbe taip pat nagrinėjamas aplikacijos modeliavimo sąsajos apibrėžimo ir realizavimo UML įrankiuose aspektai.

Šiame darbe yra pristatoma modeliavimu grindžiama praplėtimo sąsaja, kurią siūloma vadinti aplikacijos modeliavimo sąsaja (angl. Application Modeling Interface, AMI). Modeliuotojai, naudodami siūlomą aplikacijos modeliavimo sąsają, gali kurti UML įrankių įskiepius juos modeliuodami pačių UML įrankių pagalba. Darbe taip pat nagrinėjamas aplikacijos modeliavimo sąsajos apibrėžimo ir realizavimo UML įrankiuose aspektai. / This dissertation presents the principles and examples for building AMI for UML-based modeling environments. Modelers may use proposed AMI interface to extend UML modeling tools by modeling plug-ins using modeling tools itself. The work discusses four cases of AMI realization implemented in MagicDraw UML. Moreover, the proposed AMI implementation might be realized in other modeling tools that provide API and access to the model elements via standard UML metamodel interfaces. The ideas and results of this dissertation can be directly applied in numerous UML modeling tools available in the market. Although the focus in this dissertation is on UML modeling tools, many ideas are also applicable in other software systems that are developed using model driven approach.

La presente investigación resolvió la siguiente interrogante ¿Cómo influye el sistema AMI en el medidor inteligente de la energía eléctrica desarrollado en un módulo de prueba en la I.E.E Politecnico Regional del Centro del Tambo?, siendo el objetivo general: Determinar la influencia del sistema AMI en el medidor inteligente de la energía eléctrica desarrollado en un módulo de prueba en la I.E.E Politecnico Regional del Centro del Tambo. Planteándose como hipótesis: El sistema AMI influye positivamente en el medidor inteligente de la energía eléctrica desarrollado en un módulo de prueba en la I.E.E Politécnico Regional del Centro. El estudio se desarrolló desde la perspectiva de una investigación tecnológica con un diseño cuasi experimental, utilizó una muestra de 40 estudiantes divididos en dos secciones “G” y “F” quienes manipularon el medidor con el sistema AMI y sin el sistema AMI, fue seleccionado mediante muestreo no estratificado, se recopiló los datos a través de mediciones por parte de los dos medidores, cuyos resultados se analizaron con la estadística descriptiva y correlacional según el consumo por kWh , costo por kWh y tipo de medidor utilizado . En conclusión se halló una influencia positiva directa entre el sistema AMI y medidor inteligente de la energía eléctrica realizado en un módulo de prueba en la I.E.E Politécnico Regional del centro con un 95% de confianza que refleja que en medidores que incluyan un sistema (AMI) el consumo en Kwh es menor dando como consecuencia menor costo y que el diseño del equipo está en promedio de los otros medidores que se expenden en el mercado. / Tesis

More than 6 million people present to emergency departments (EDs) across the US annually with chief complaints of chest pain or other symptoms suggestive of acute myocardial infarction (AMI). Of the million who are diagnosed with AMI, 350,000 die during the acute phase. Accurate triage in the ED can reduce mortality and morbidity, yet accuracy rates are low and delays in patient care are high. The purpose of this study was to explore the relationship between (a) patient characteristics, registered nurse (RN) characteristics, symptom presentation, and accuracy of ED RN triage level designations and (b) delay of care of patients with symptoms suggestive of AMI. Constructs from Donabedian’s Structure-Process-Outcome model were used to guide this study. Descriptive correlational analyses were performed using retrospective triage data from electronic medical records. The sample of 286 patients with symptoms suggestive of AMI comprised primarily Caucasian, married, non-smokers, of mean age of 61 with no prior history of heart disease. The sample of triage nurses primarily comprised Caucasian females of mean age of 45 years with an associate’s degree in nursing and 11 years’ experience in the ED. RNs in the study had an accuracy rate of 54% in triage of patients with symptoms suggestive of AMI. The older RN was more accurate in triage level designation. Accuracy in triage level designations was significantly related to patient race/ethnicity. Logistic regression results suggested that accuracy of triage level designation was twice as likely (OR 2.07) to be accurate when the patient was non-Caucasian. The patient with chest pain reported at triage was also twice as likely (OR 2.55) to have an accurate triage than the patient with no chest pain reported at triage. Electrocardiogram (ECG) delay was significantly greater in the patient without chest pain and when the RN had more experience in ED nursing. Triage delay was significantly related to patient gender and race/ethnicity, with female patients and non-Caucasian patients experiencing greater delay. An increase in RN years of experience predicted greater delay in triage. Further studies are necessary to understand decisions at triage, expedite care, improve outcomes, and decrease deaths from AMI.

No description available.

In recent years, due to the issues of energy saving, the smart grid has become more important. AMI (Advanced Metering Infrastructure) is the basic of smart grid. However, AMI¡¦s network initialization usually cost a lot of time delay and energy waste because of many collisions due to the initialization in the high node density and variable network. In this paper, we proposed a Dynamic Contention Slot Initialization Protocol (DCSI Protocol) to reduce time delay and energy waste in the network initialization. At the beginning, all nodes in DCSI protocol are set in the receiving state. The proposed approach reduces not only collisions but also the communication failure due to the interference out of the transmission range. We divided time into time slots and then composed them to superframe. The first slot of superframe is designed for master node¡¦s broadcast, and other time slots are devised for other nodes to join in the network. Based on the previous superframe, nodes for the proposed protocol adjust the number of the contention slot by detecting collisions to adapt the high node density and variable network. The simulation results demonstrate superiority of DCSI protocol over flooding.

No description available.

While the newly envisioned Smart(er) Grid (SG) will result in a more efficient and reliable power grid, its collection and use of fine-grained meter data has widely raised concerns on consumer privacy. While a number of approaches are available for preserving consumer privacy, these approaches are mostly not very practical to be used due to two reasons: First, since the data is hidden, this reduces the ability of the utility company to use the data for distribution state estimation. Secondly and more importantly, the approaches were not tested under realistic wireless infrastructures that are currently in use. In this thesis, a meter data obfuscation approach to preserve consumer privacy is proposed to implement that has the ability to perform distribution state estimation. Then, its performance on LTE and a large-scale Advanced Metering Infrastructure (AMI) network built upon the new IEEE 802.11s wireless mesh standard are assessed. LTE/EPC(Evolved Packet Core) model is used between the gateway and the utility. EPC's goal is to improve network performance by the separation of control and data planes and through a flattened IP architecture, which reduces the hierarchy between mobile data elements. Using obfuscation values provided via this approach, the meter readings are obfuscated to protect consumer privacy from eavesdroppers and the utility companies while preserving the utility companies' ability to use the data for state estimation.The impact of this approach on data throughput, delay and packet delivery ratio under a variety of conditions are assessed.

No description available.

Recent technological developments have led to significant changes in the power grid. Increasing consumption, widespread adoption of Distributed Energy Resources (DER), installation of smart meters, these are some of the many factors that characterize the changing distribution network. These transformations taking place at the edge of the grid call for improved planning and operation practices. In this context, this thesis aims to improve the grid edge functionality by putting forth a method to address the problem of high demand during peak period by identifying customer groups for participation in demand response programs, which can lead to significant peak shaving for the utility. A possible demand response strategy for peak shaving makes use of Photovoltaic (PV) and Battery energy storage system (BESS). In the process, this work also examines the approach to computation of hosting capacity (HC) for small PV and quantifies the difference obtained in HC when a detailed Low voltage (LV) network is available and included in HC studies. Most PV hosting studies assess the impact on system feeders with aggregated LV loads. However, as more residential customers adopt rooftop solar, the need to include secondary network models in the analysis is studied by performing a comparative study of hosting capacity for a feeder with varying loading information available. / Master of Science / Today, with significant technological advancements, as we proceed towards a modern grid, a mere change in physical infrastructure will not be enough. With the changes in kinds of equipment installed on the grid, a wave of transformation has also begun to flow in the planning and operation practices for a smarter grid. Today, the edge of the grid where the customer is interfaced to the power system has become extremely complex. Customers can use rooftop solar PV to generate their own electricity, they are more informed about their consumption behavior due to installation of smart meters and also have options to integrate other technology like battery energy storage system and electric vehicles. Like with any good technology, adoption of these advancements in the system brings with itself a greater need for reform in operation and planning of the system. For instance, increasing installation of rooftop solar at the customer end calls for review of existing methods that determine the maximum level of PV deployment possible in the network without violating the operating conditions. So, in this work, a comparative study is done to review the PV hosting capacity of a network with varying levels of information available. And the importance of utilities to have secondary network models available is emphasized. With PV deployed in the system, enhanced demand response strategies can be formulated by utilities to tackle high demand during peak period. In a bid to identify customers for participation in such programs, in this work, a computationally efficient strategy is developed to identify customers with high demand during peak period, who can be incentivized to participate in demand response programs. With this, a significant peak shaving can be achieved by the utility, and in turn stress on the distribution network is reduced during peak hours.