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Distributed Stream Processing Systems (DSPS) like Apache Storm and Spark Streaming enable composition of continuous dataflows that execute persistently over data streams. They are used by Internet of Things (IoT) applications to analyze sensor data from Smart City cyber-infrastructure, and make active utility management decisions. As the ecosystem of such IoT applications that leverage shared urban...
The dissipation of ultrasound (US) signal from microbubble contrast agents has been linked to their fragmentation, jetting or sonic cracking, leading to a loss of gas. With strong interest in the use of bubbles as drug delivery vehicles, their ultimate fate is of great importance. It has been hypothesized that remnant shells shed into the surround aqueous medium, folding into liposomes or micelles...
We present AutonoVi, a novel algorithm for autonomous vehicle navigation that supports dynamic maneuvers and integrates traffic constraints and norms. Our approach is based on optimization-based maneuver planning that supports dynamic lane-changes, swerving, and braking in all traffic scenarios and guides the vehicle to its goal position. We take into account various traffic constraints, including...
Ischemic stroke causes brain infarction and neurological deficits. Along with these pathological changes, ischemic stroke also activates neuroprotective mechanisms that mitigate brain injury. It has long been recognized that the ischemic brain can upregulate neuroprotective genes to support neuronal survival. The present investigation demonstrated that, in addition to the ischemic brain, the liver...
Distributed representations have become the de facto standard by which many modern neural network architectures deal with natural language processing tasks. In particular, the word2vec algorithm introduced by Mikolov, et al. popularized the use of distributed representations by demonstrating that learned embeddings capture semantic relationships geometrically. Though word2vec addresses some of the...
Emerging Internet of Things represents a paradigm shift in our understanding of modern communication networks. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications having far reaching consequences for all aspects of human life. In particular Internet of Things revolution is transforming the modern connected healthcare. However,...
A great deal of research has been conducted to make the renewable resources more efficient and easy to use. One of the great deal of research is been conducted on the use of photovoltaic cell and the fuel cells in the recent days. This paper gives an introduction to the hybrid energy system for the photovoltaic cell and the fuel cell for supplying the energy to the isolated areas. This technique can...
Drug repositioning (DR) refers to identification of novel indications for the approved drugs. The requirement of huge investment of time as well as money and risk of failure in clinical trials have led to surge in interest in drug repositioning. DR exploits two major aspects associated with drugs and diseases: existence of similarity among drugs and among diseases due to their shared involved genes...
Due to the small memory footprint and fast startup times offerred by container virtualization, made ever more popular by the Docker platform, containers are seeing rapid adoption as a foundational capability to build PaaS and SaaS clouds. For such container clouds, which are fundamentally different from VM clouds, various cloud management services need to be revisited. In this paper, we present our...
With the growing popularity of sensors and the advent of Internet of Things (IoT), there is exponential growth in data. Sensors are collecting data for various domains like traffic, predictive maintenance, equipment health, meteorology etc. Mostly, data collected by IoT devices or sensors is of heterogeneous format which is difficult to interpret and integrate. With the rise in applications of sensors...
This paper presents a low-power speech detector on a fully reconfigurable Field Programmable Analog Array (FPAA). The entire system is designed and compiled on a FPAA fabricated in 0.35μm CMOS process. The system uses 12 parallel bank of band-pass filters to extract features. The outputs of the filter bank are used by a single layer of 12×2 Vector Matrix Multiplication (VMM) and Winner Take All (WTA)...
We present a calibration flow for a large-scale Floating-Gate (FG) System-on-Chip (SoC) Field Programmable Analog Array (FPAA) to enable analog system design and built-in self test. We focus on calibration of the FG programming infrastructure, Digital-Analog Converters (DAC) and Analog-Digital Converters (ADC), as well as characterization of hot-electron injection parameters. This paper shows the...
Data sets are often too immense to fit completely inside the computer's main memory and must instead reside on disk. If data set will be kept in main memory it will be very costly. A computer must retrieve required data and place it in internal memory to process it. Efficient data structures, like B-tree, B+ tree, are used to process large datasets. Nodes of these data structures are buffered in memory...
The User Requirements Notation (URN) supports the elicitation, specification, and analysis of integrated goal and scenario models. The analysis of the goal and scenario models focuses on one snapshot in time and does not allow the model to change over time. While several models may be created that represent different stages of a system, managing several, slightly different model copies is a space-consuming,...
Educational research has demonstrated the importanceof embodiment in designing student learning environments,connecting bodily actions to critical concepts. Gesturalrecognition algorithms have become important in leveragingthis connection but have focused primarily on traditionallytrained machine-learning paradigms.
We present our junior level class implementation moving from classical discrete circuit concept towards system level design. This approach was enabled using large-scale Field Programmable Analog Arrays (FPAA) (ECE 3400). The approach enables a first junior level transistor circuit course to build and verify system level designs. This course heavily utilized remote FPAA designs for their hands-on projects;...
One of the most important goals for Software Engineering is that end users or those people who understand software requirements but without too much programming experience can build their software products or prototypes easily. The recent success of cloud computing has made a big step towards this goal where Platform as a Service (PaaS) can provide general and comprehensive software development services...
Modern databases contain an enormous amount of information stored in a structured format. This information is processed to acquire knowledge. However, the process of information extraction from a Database System is cumbersome for non-expert users as it requires an extensive knowledge of DBMS languages. Therefore, an inevitable need arises to bridge the gap between user requirements and the provision...
Linux containers are shaping the new era of building applications. With their low resource utilization overhead and lightweight images, they present an appealing model to package and run applications. The faster boot time of containers compared to virtual/physical machines makes them ideal for auto-scaling and on-demand provisioning. Several methods can be used to spawn new containers. In this paper...
Space layout planning is the first phase in the process of designing a building. Though a large number of possible layout plans may be generated, a set of requirements and related constraints limits the number of possible options. In this paper, an automated floor plan is presented using genetic algorithm, AutoCAD as an implementing tool and Autolisp as a programming language. The topological and...
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