RSS 1.0SCSE Journal Articles
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A case for energy-efficient acceleration of graph problems using embedded FPGA-based SoCs
(2015)Sparse graph problems are notoriously hard to accelerate on conventional platforms due to irregular memory access patterns resulting in underutilization of memory bandwidth. These bottlenecks on traditional x86-based systems ... -
Eigen-analysis reveals components supporting super-resolution imaging of blinking fluorophores
(2017)This paper presents eigen-analysis of image stack of blinking fluorophores to identify the components that enable super-resolved imaging of blinking fluorophores. Eigen-analysis reveals that the contributions of spatial ... -
The canary in the city : indicator groups as predictors of local rent increases
(2018)As cities grow, certain neighborhoods experience a particularly high demand for housing, resulting in escalating rents. Despite far-reaching socioeconomic consequences, it remains difficult to predict when and where urban ... -
Survey-based socio-economic data from slums in Bangalore, India
(2018)In 2010, an estimated 860 million people were living in slums worldwide, with around 60 million added to the slum population between 2000 and 2010. In 2011, 200 million people in urban Indian households were considered to ... -
From cloud to fog computing : a review and a conceptual live VM migration framework
(2017)Fog computing, an extension of cloud computing services to the edge of the network to decrease latency and network congestion, is a relatively recent research trend. Although both cloud and fog offer similar resources and ... -
A unified fisher’s ratio learning method for spatial filter optimization
(2017)To detect the mental task of interest, spatial filtering has been widely used to enhance the spatial resolution of electroencephalography (EEG). However, the effectiveness of spatial filtering is undermined due to the ... -
Learning temporal information for brain-computer interface using convolutional neural networks
(2018)Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems. However, the successful application of these methods in ... -
Learning under concept drift with follow the regularized leader and adaptive decaying proximal
(2018)Concept drift is the problem that the statistical properties of the data generating process change over time. Recently, the Time Decaying Adaptive Prediction (TDAP) algorithm1 was proposed to address the problem of concept ... -
Evolutionary based ICA with reference for EEG μ rhythm extraction
(2018)Independent component analysis with reference (ICA-R), a paradigm of constrained ICA (cICA), incorporates textita priori information about the desired sources as reference signals into the contrast function of ICA. Reference ... -
Visible light based occupancy inference using ensemble learning
(2018)As a key component of building management and security, occupancy inference through smart sensing has attracted a lot of research attention for nearly two decades. Recently, a cutting edge technique visible light sensing ... -
Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks
(2018)With the rapid development of modern satellite communications, broadband satellite services are experiencing a period of remarkable growth in both user population and available bandwidth. Efficient spectrum management is ... -
Spectrum optimization for cognitive satellite communications with Cournot game model
(2018)With the availability of high-throughput satellite services at affordable cost, terrestrial network providers make use of satellite links to extend their coverage to areas, where land-based communication infrastructures ... -
Automatic pixel-level pavement crack detection using information of multi-scale neighborhoods
(2018)Robust automatic pavement crack detection is critical to automated road condition evaluation. However, research on crack detection is still limited and pixel-level automatic crack detection remains a challenging problem, ... -
Robustness analysis of pedestrian detectors for surveillance
(2018)To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on. Besides detection ... -
Spectrum sharing for heterogeneous networks and application systems in TV white spaces
(2018)In 2010, federal communications commission released the final ruling to allow the unlicensed operation of TV white spaces, i.e., locally vacant TV channels. Since TV white spaces are open to all networks and all types of ... -
Coordinated device-to-device communication with non-orthogonal multiple access in future wireless cellular networks
(2018)We study the problem of user clustering and power assignment for a network comprised of cellular users and underlay device to device (D2D) users operating under a non-orthogonal multiple access (NOMA) scheme. Our goal is ... -
Joint incentive mechanism for paid content caching and price based cache replacement policy in named data networking
(2018)Internet traffic volume is continuing to increase rapidly. Named data networking (NDN) has been introduced to support this Internet traffic growth through caching contents close to consumers. While caching in NDN is ... -
Multi-valued and fuzzy logic realization using TaOx memristive devices
(2017)Among emerging non-volatile storage technologies, redox-based resistive switching Random Access Memory (ReRAM) is a prominent one. The realization of Boolean logic functionalities using ReRAM adds an extra edge to this ... -
Non-heuristic automatic techniques for overcoming low signal-to-noise-ratio bias of localization microscopy and multiple signal classification algorithm
(2018)Localization microscopy and multiple signal classification algorithm use temporal stack of image frames of sparse emissions from fluorophores to provide super-resolution images. Localization microscopy localizes emissions ... -
Eeg cortical connectivity analysis of working memory reveals topological reorganization in theta and alpha bands
(2017)Numerous studies have revealed various working memory (WM)-related brain activities that originate from various cortical regions and oscillate at different frequencies. However, multi-frequency band analysis of the brain ...
