Papers by Arka Bhattacharya
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments
Commercial buildings have long since been a primary target for applications from a number of area... more Commercial buildings have long since been a primary target for applications from a number of areas: from cyber-physical systems to building energy use to improved human interactions in built environments. While technological advances have been made in these areas, such solutions rarely experience widespread adoption due to the lack of a common descriptive schema which would reduce the now-prohibitive cost of porting these applications and systems to different buildings. Recent attempts have sought to address this issue through data standards and metadata schemes, but fail to capture the set of relationships and entities required by real applications. Building upon these works, this paper describes Brick, a uniform schema for representing metadata in buildings. Our schema defines a concrete ontology for sensors, subsystems and relationships among them, which enables portable applications. We demonstrate the completeness and effectiveness of Brick by using it to represent the entire vendor-specific sensor metadata of six diverse buildings across different campuses, comprising 17,700 data points, and running eight complex unmodified applications on these buildings.
Case Reports in Psychiatry
Pituitary adenomas are often diagnosed as incidental findings on brain imaging. We present the ca... more Pituitary adenomas are often diagnosed as incidental findings on brain imaging. We present the case of a 52-year-old African American female patient with long standing depressed mood prior to the incidental finding of a pituitary adenoma. We explore the possibility of certain mood symptoms prompting an early diagnosis of pituitary adenoma.
Mapana - Journal of Sciences
Acoustic waves are those waves which travel with the speed of sound through a medium. H. Lamb (19... more Acoustic waves are those waves which travel with the speed of sound through a medium. H. Lamb (1909, 1910) had derived a cutoff frequency for stratified and isothermal medium for the propagation of acoustic waves. In order to find the cutoff frequency many methods were introduced after Lamb's work. In this paper, we have chosen the turning point frequency method following Musielak et.al(2006) Routh et. al.(2014) to determine cutoff frequencies for acoustic waves propagating in non-isothermal medium which can be applied to various atmospheres like solar atmosphere, stellar atmosphere, earth's atmosphere etc. Here, we have analytically derived the cutoff frequency and have analyzed and compared with the Lamb's cut-off frequency for earth's troposphere.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments - BuildSys '15, 2015
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments - BuildSys '15, 2015
Commercial buildings consume nearly 19% of delivered energy in the U.S, nearly half (42%) of whic... more Commercial buildings consume nearly 19% of delivered energy in the U.S, nearly half (42%) of which is consumed in buildings with digital control systems [23] comprised of wired sensor networks. These sensors have scant metadata, and are represented by "tags" which are obscure, buildingspecific and not machine parseable. We develop a human-inthe-loop synthesis technique which uses syntactic and datadriven steps to parse these sensor tags into a common namespace, which can enable portable building applications. We show that our technique allows an expert to fully parse a large fraction (70%) of the tags with 24, 15 and 43 examples for three large commercial buildings comprising 1586, 2522 and 1865 sensors respectively, and deploy three portable applications on two buildings with less than 30 examples.
Physics of Plasmas, 2015
ABSTRACT The effect of plasma environment on the 1s → nlm charge transfer, for arbitrary n, l, an... more ABSTRACT The effect of plasma environment on the 1s → nlm charge transfer, for arbitrary n, l, and m, in proton-hydrogen collisions has been investigated within the framework of a distorted wave approximation. The effect of external plasma has been incorporated using Debye screening model of the interacting charge particles. Making use of a simple variationally determined hydrogenic wave function, it has been possible to obtain the scattering amplitude in closed form. A detailed study has been made to investigate the effect of external plasma environment on the differential and total cross sections for electron capture into different angular momentum states for the incident energy in the range of 20-1000 keV. For the unscreened case, our results are in close agreement with some of the most accurate results available in the literature.
Proceedings of the 4th annual Symposium on Cloud Computing - SOCC '13, 2013
There has been a recent industrial effort to develop multi-resource hierarchical schedulers. Howe... more There has been a recent industrial effort to develop multi-resource hierarchical schedulers. However, the existing implementations have some shortcomings in that they might leave resources unallocated or starve certain jobs. This is because the multi-resource setting introduces new challenges for hierarchical scheduling policies. We provide an algorithm, which we implement in Hadoop, that generalizes the most commonly used multi-resource scheduler, DRF [1], to support hierarchies. Our evaluation shows that our proposed algorithm, H-DRF, avoids the starvation and resource inefficiencies of the existing open-source schedulers and outperforms slot scheduling.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings - BuildSys '14, 2014
Extracting meaningful information from a building's sensor data, or writing control applications ... more Extracting meaningful information from a building's sensor data, or writing control applications using the data, depends on the metadata available to interpret it, whether provided by novel networks or legacy instrumentation. Commercial buildings comprise large sensor networks, but have limited, obscure 'tags' that are often meaningful only to the facility managers. Moreover, this primitive metadata is imprecise and varies across vendors and deployments. This state-of-the-art is a fundamental barrier to scaling analytics or intelligent control across the building stock, as even the basic steps involve labor intensive manual efforts by highly trained consultants. Writing building applications on its sensor network remains largely intractable as it involves extensive help from an expert in each building's design and operation to identify the sensors of interest and create the associated metadata. This process is repeated for each application development in a particular building, and across different buildings. This results in customized building-specific applications which are not portable or scalable across buildings. We have developed a synthesis technique([2]) that learns how to transform (normalize) a building's primitive sensor metadata to a common namespace(similar to [1]) by using a small number of examples from an expert, such as the building manager 1 (Figure 1). Once the transformation rules are * Primary Author. † This work was supported in part by NSF grants CPS-0931843 (Action-Webs), CPS-1239552 (SDB) and the DOE OpenBAS grant. 1 Building managers are often the only people who understand the primitive metadata, and are not adept at writing regular expression programs to transform the primitive metadata to a common and more understandable namespace themselves Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems - SenSys '14, 2014
The Open Construction and Building Technology Journal, 2008
Self-consolidating concrete (SCC) is becoming a popular choice in concrete industry due to ease o... more Self-consolidating concrete (SCC) is becoming a popular choice in concrete industry due to ease of placement in congested reinforcements, reduced labor and equipment, nonsegregating character, and smooth surface. Due to its sensitivity to aggregate grading, proportions, admixtures, and filler contents and being a relatively new material, more information are required on the effects of aggregate grading, mineral admixture types, and fillers on fresh and strength properties. In this paper a total of 10 SCC were investigated to compare the effects of aggregate size and distribution, mineral admixture, and filler on fresh properties through slump-flow, J-ring, L-box, column segregation, and compressive strength tests. Results show that combined aggregate distribution is critical for selecting proper SCC mixtures. Water/powder ratio and paste volume has more effects on SCC than water-cementitious material ratio. In general SCC properties can be greatly influenced by admixture types and dosage, and filler.
Proceedings of the 1st ACM symposium on Cloud computing - SoCC '10, 2010
Virtualization is often used in cloud computing platforms for its several advantages in efficient... more Virtualization is often used in cloud computing platforms for its several advantages in efficiently managing resources. However, virtualization raises certain additional challenges, and one of them is lack of power metering for virtual machines (VMs). Power management requirements in modern data centers have led to most new servers providing power usage measurement in hardware and alternate solutions exist for older servers using circuit and outlet level measurements. However, VM power cannot be measured purely in hardware. We present a solution for VM power metering, named Joulemeter. We build power models to infer power consumption from resource usage at runtime and identify the challenges that arise when applying such models for VM power metering. We show how existing instrumentation in server hardware and hypervisors can be used to build the required power models on real platforms with low error. Our approach is designed to operate with extremely low runtime overhead while providing practically useful accuracy. We illustrate the use of the proposed metering capability for VM power capping, a technique to reduce power provisioning costs in data centers. Experiments are performed on server traces from several thousand production servers, hosting Microsoft's realworld applications such as Windows Live Messenger. The results show that not only does VM power metering allow virtualized data centers to achieve the same savings that non-virtualized data centers achieved through physical server power capping, but also that it enables further savings in provisioning costs with virtualization.
Proceedings of the 5th international conference on Future energy systems - e-Energy '14, 2014
XRDS: Crossroads, The ACM Magazine for Students, 2014
EURASIP Journal on Advances in Signal Processing, 2012
The Kalman filter (KF) has been improved for a mobile robot to human tracking. The proposed algor... more The Kalman filter (KF) has been improved for a mobile robot to human tracking. The proposed algorithm combines a curve matching framework and KF to enhance prediction accuracy of target tracking. Compared to other methods using normal KF, the Curve Matched Kalman Filter (CMKF) method predicts the next movement of the human by taking into account not only his present motion characteristics, but also the previous history of target behavior patterns-the CMKF provides an algorithm that acquires the motion characteristics of a particular human and provides a computationally inexpensive framework of human-tracking system. The proposed method demonstrates an improved target tracking using a heuristic weighted mean of two methods, i.e., the curve matching framework and KF prediction. We have conducted the experimental test in an indoor environment using an infrared camera mounted on a mobile robot. Experimental results validate that the proposed CMKF increases prediction accuracy by more than 30% compared to normal KF when the characteristic patterns of target motion are repeated in the target trajectory.
This Thesis is brought to you for free and open access by Scholar Commons @USF. It has been accep... more This Thesis is brought to you for free and open access by Scholar Commons @USF. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholar Commons @USF. For more information, please contact [email protected].
… Automation, Control and …, 2011
Abstract There are a large number of applications of various DC-DC converters and their usage are... more Abstract There are a large number of applications of various DC-DC converters and their usage are increasing alarmingly due to the consciousness of the world towards renewable sources of energy. This paper has made an attempt to design and implement the ...
Uploads
Papers by Arka Bhattacharya