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In this paper, we propose a novel application of Generative Adversarial Networks (GAN) to the synthesis of cells imaged by fluorescence microscopy. Compared to natural images, cells tend to have a simpler and more geometric global structure that facilitates image generation. However, the correlation between the spatial pattern of different fluorescent proteins reflects important biological functions,...
In far-off regions without a connection to the main grid, primarily diesel generators are used for the power supply. However, hybrid energy systems such as PV-diesel-battery systems have a high potential to reduce CO2-emissions and fuel costs. As a challenge, on the one hand, smart dispatch strategies are required to compensate the limited part-load capacity of diesel generators and the volatility...
This paper has the focus to identify the unknown parameters of solar photovoltaic generators in real time, through the application of a new proposed technic. The identification process is discussed with details, about the four steps of identification. In this regard, the first step explain the experimental data acquisition work, to obtain data from real photovoltaic system. For the second step, a...
The main negative factors of urbanization are both, environmental problems (pollution of the urban environment, increase of building density, decrease of the green area, etc.), and the destructive influence of the big city on human health (emotional discomfort and stress among inhabitants, mental overloads leading people to alienation from the urban environment, etc.). In the article a new hybrid...
Micro-grid technology is well-suited to power supply of an island. As to micro-grid planning, a critical issue is how to optimize sizes of distributed generation so that reliability and efficiency of power supply can be assured. This paper calculates different costs of equipment, operation, maintenance and replacement for different distributed resource models. Annual meteorological conditions, load...
We have developed a patient simulator that can generate artificial vital signs. The simulator enables medical trainees to measure heart rate and arterial oxygen saturation by pulse oximeter (SpO2), which are generated according to a mathematical cardiorespiratory model in response to resuscitation procedures. The artificial-vital-sign generator uses a biological model based on an inverse structure...
Residential solar Photovoltaic (PV) installations are increasing at a very high pace in the United States. In 2017 there are approximately one million residential solar PV installations in the US. A significant share of these installations are downstream of distribution transformers and thus connected to the secondary. To precisely analyze voltage variations induced by PV systems into distribution...
The Transmission Expansion Planning (TEP) is still a highly complex, combinatorial, non-linear and non-convex problem, where more accurate models and more efficient optimization tools are needed. The purpose of this work is to solve the static Transmission Expansion Planning (TEP) problem through the Biogeography Based Optimization (BBO) technique using an AC model, for the simultaneous expansion...
If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing labeled faces of different ages but not necessarily paired), can you show me what I would look like when I am 80 or what I was like when I was 5? The answer is probably a No. Most existing face aging works attempt to learn the transformation...
Generative Adversarial Networks (GANs) have been shown to produce synthetic face images of compelling realism. In this work, we present a conditional GAN approach to generate contextually valid facial expressions in dyadic human interactions. In contrast to previous work employing conditions related to facial attributes of generated identities, we focused on dyads in an attempt to model the relationship...
We propose a model for full body and face deidentification of humans in images. Given a segmentation of the human figure, our model generates a synthetic human image with an alternative appearance that looks natural and fits the segmentation outline. The model is usable with various levels of segmentation, from simple human figure blobs to complex garment-level segmentations. The level of detail in...
The influence of distributed generation (DG) from renewable energy sources on the distribution network (DN) hosting capacity was analyzed in this paper. The analysis was conducted on the simulation model which represents a real DN with the DG consisting of medium size biogas combined heat & power (CHP) and small size household photovoltaic (PV) systems. Main goal of this paper was to analyze how...
Demand Side Response (DSR) Aggregators play a key intermediary role in facilitating the uptake of DSR services by enabling individual non-domestic end-users to access complex system operator programmes. However, there is limited research on how DSR Aggregators determine the suitability of an end-user site. This research increases the body of knowledge about the Aggregator's role in affecting the adoption...
In creating entirely fictitious electric grids, there need to be metrics associated with their design that qualify their use in power systems research. In specifying these measures, the questions “What metrics matter for a given study and why?” should be answered. This paper extends the previously developed synthetic network base models for energy economic studies and aims to outline which economic...
The occurrence of wide-area cascading events suggests that the power system is operating at reduced safety margins. The generation dispatches provided by current energy markets may influence the risk of cascading outages. This paper aims at estimating the risk of cascading outages associated with diverse dispatch solutions by integrating market-based power dispatch models and a cascading failure analysis...
The overwhelming majority of the literature on stochastic planning involves problems that exhibit exogenous uncertainty. In such problems the optimal decisions and the process of uncertainty resolution are independent, with the latter taking place solely with the passage of time. In this paper a novel stochastic planning formulation is proposed that can capture endogenous sources of uncertainty, whose...
As penetration of variable renewable generation increases, many conventional thermal power plants need to operate long hours at their minimum stable levels (MSL) due to operational constraints. In these conditions, they may be generating at times when the price of the system is below their marginal costs, incurring in economic losses and hurting their profitability. This paper discusses how operational...
Limitations of the existing methods and models for uneven energy consumption forecast are defined. The energy consumption planning method based on informational technologies, the probability theory, the game theory, hour energy prices and volumes relations is offered. All possible variants of prices and volumes relations are identified. Two utility functions for positive and negative correction of...
Developing models to generate realistic graphs of communication networks often requires a deep understanding and extensive analysis of the underlying network structure. Since deployed communication networks are dynamic, the findings a generator is based on might lose validity. We alleviate the need for extensive analysis of graphs by estimating parameters of a probabilistic model. The model parameters...
We introduce a novel model-based generator that produces biologically grounded synthetic volumes of the cerebrovasculature. Our models are synthesized stochastically, according to the biological characteristics of venule arborescence in the human collateral sulcus. Each synthetic volume produced is individually unique, yet representative of this cerebral region. As the locations and characteristics...
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