Arindam pal - Academia.edu (original) (raw)
Papers by Arindam pal
Information Processing & Management
Estimating the similarity between two legal case documents is an important and challenging proble... more Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation recommendation. There are two broad approaches for the task-citation network-based and text-based. Prior citation network-based approaches consider citations only to prior-cases (also called precedents) (PCNet). This approach misses important signals inherent in Statutes (written laws of a jurisdiction). In this work, we propose Hier-SPCNet that augments PCNet with a heterogeneous network of Statutes. We incorporate domain knowledge for legal document similarity into Hier-SPCNet, thereby obtaining state-of-the-art results for network-based legal document similarity. Both textual and network similarity provide important signals for legal case similarity; but till now, only trivial attempts have been made to unify the two signals. In this work, we apply several methods for combining textual and network information for estimating legal case similarity. We perform extensive experiments over legal case documents from the Indian judiciary, where the gold standard similarity between document-pairs is judged by law experts from two reputed Law institutes in India. Our experiments establish that our proposed network-based methods significantly improve the correlation with domain experts' opinion when compared to the existing methods for network-based legal document similarity. Our best-performing combination method (that combines network-based and text-based similarity) improves the correlation with domain experts' opinion by 11.8% over the best text-based method and 20.6% over the best network-based method. We also establish that our best-performing method can be used to recommend / retrieve citable and similar cases for a source (query) case, which are well appreciated by legal experts. .
Proceedings of the 11th Forum for Information Retrieval Evaluation, 2019
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018
The ever increasing size of real-world datasets provides opportunities to find insights in new an... more The ever increasing size of real-world datasets provides opportunities to find insights in new and emerging types of data and content, to make businesses more agile, and to answer questions that were previously considered beyond our reach-the promise of Big Data. However, scaling up Machine Learning, Data Mining, and reasoning algorithms from Artificial Intelligence for massive datasets remains a major technical challenge. Many algorithms for machine learning and statistical inference are notorious for their computational complexity with respect to the size of the data. Adopting parallel and distributed computing to scale such algorithms appears as an obvious path forward. But the reward varies depending on how amenable the algorithms are to parallel processing and the availability of rapid prototyping capabilities with low cost of entry. To use this data deluge to our advantage, a convergence between the fields of Parallel and Distributed Computing and Machine Learning is necessary.
ArXiv, 2020
Past work on evacuation planning assumes that evacuees will follow instructions -- however, there... more Past work on evacuation planning assumes that evacuees will follow instructions -- however, there is ample evidence that this is not the case. While some people will follow instructions, others will follow their own desires. In this paper, we present a formal definition of a behavior-based evacuation problem (BBEP) in which a human behavior model is taken into account when planning an evacuation. We show that a specific form of constraints can be used to express such behaviors. We show that BBEPs can be solved exactly via an integer program called BB_IP, and inexactly by a much faster algorithm that we call BB_Evac. We conducted a detailed experimental evaluation of both algorithms applied to buildings (though in principle the algorithms can be applied to any graphs) and show that the latter is an order of magnitude faster than BB_IP while producing results that are almost as good on one real-world building graph and as well as on several synthetically generated graphs.
Encyclopedia of Wireless Networks, 2019
Future Generation Computer Systems, 2019
General rights Copyright and moral rights for the publications made accessible in the public port... more General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
British journal of clinical pharmacology, Jan 22, 2018
DFD-09 (doxycycline) oral capsules 40 mg are approved for the treatment of inflammatory lesions o... more DFD-09 (doxycycline) oral capsules 40 mg are approved for the treatment of inflammatory lesions of rosacea. Unlike the food-induced lowering of doxycycline's peak plasma concentration (C ), its exposure under fed conditions in skin, the drug's target site for rosacea, is unknown. The present study explored the effect of food on dermal pharmacokinetics of doxycycline. Pharmacokinetics of doxycycline in dermal interstitial fluid (d-ISF) and plasma of healthy volunteers were assessed in parallel groups under fed (n=6) and fasting (n=6) conditions during a 14-day once-daily treatment course with Doxycycline oral capsules 40 mg (DFD-09). Sampling of d-ISF and plasma were performed on days 1, 10 (fasting group d-ISF only) and 14. Twelve subjects were randomised, 11 analysed. No causally drug-related adverse events occurred. Dermal doxycycline exposures (C and AUC) under fed state were about 30% lower than fasting state at day 1 but were similar at steady-state. In analogy to skin,...
Clinical Drug Investigation, 2017
Background COX-2 inhibitors can be effective for acute migraine, but none is supplied in a rapidl... more Background COX-2 inhibitors can be effective for acute migraine, but none is supplied in a rapidly absorbed, readyto-use oral liquid formulation. DFN-15, a novel oral liquid formulation of celecoxib, is being developed for the acute treatment of migraine with or without aura. Clinical studies with this formulation are ongoing. Objectives The objectives of the present study were to compare the bioavailability of DFN-15 with that of the commercial formulation of celecoxib 400-mg oral capsules (Celebrex Ò) and to determine the dose proportionality of DFN-15 in healthy fasted volunteers. Methods This single-dose randomized crossover study in 16 healthy fasted volunteers evaluated the pharmacokinetics and relative bioavailability of DFN-15 at doses of 120, 180, and 240 mg against the commercial formulation of celecoxib 400-mg oral capsules and determined the dose proportionality of DFN-15. Results The maximum observed plasma concentrations (C max) of celecoxib after the administration of DFN-15 120, 180, and 240 mg (1062-1933 ng/ml) were higher than for the 400-mg oral capsules (611 ng/ml). The median time to peak concentration (T max) was within 1 h for DFN-15 and 2.5 h for the oral capsules. The pharmacokinetics of DFN-15 were dose proportional from 120 to 240 mg. Partial area under the plasma concentration-time curves (AUCs) from 15 min to 2 h for DFN-15 120 mg were at least threefold higher than for the oral capsules, and the relative bioavailability of DFN-15 was approximately 140% that of the oral capsules. DFN-15 was well tolerated, with no new or unexpected adverse events. Conclusions Based on a faster rate of absorption and increased bioavailability, DFN-15 is being evaluated as an abortive medication for acute treatment in patients with migraine.
2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), 2016
Preferential attachment models have been widely studied in complex networks, because they can exp... more Preferential attachment models have been widely studied in complex networks, because they can explain the formation of many networks like social networks, citation networks, power grids, and biological networks, to name a few. Motivated by the application of key predistribution in wireless sensor networks (WSN), we initiate the study of preferential attachment with degree bound. Our paper has two important contributions to two different areas. The first is a contribution in the study of complex networks. We propose preferential attachment model with degree bound for the first time. In the normal preferential attachment model, the degree distribution follows a power law, with many nodes of low degree and a few nodes of high degree. In our scheme, the nodes can have a maximum degree dmax, where dmax is an integer chosen according to the application. The second is in the security of wireless sensor networks. We propose a new key predistribution scheme based on the above model. The important features of this model are that the network is fully connected, it has fewer keys, has larger size of the giant component and lower average path length compared with traditional key predistribution schemes and comparable resilience to random node attacks. We argue that in many networks like key predistribution and Internet of Things, having nodes of very high degree will be a bottleneck in communication. Thus, studying preferential attachment model with degree bound will open up new directions in the study of complex networks, and will have many applications in real world scenarios.
Journal of Raman Spectroscopy, 2015
Arrays of single-crystalline Si nanowires (NWs) decorated with arbitrarily shaped Si nanocrystals... more Arrays of single-crystalline Si nanowires (NWs) decorated with arbitrarily shaped Si nanocrystals (NCs) are grown by a metalassisted chemical etching process using silver (Ag) as the noble metal catalyst. The metal-assisted chemical etching-grown Si NWs exhibit strong photoluminescence (PL) emission in the visible and near infrared region at room temperature. Quantum confinement of carriers in the Si NCs is believed to be primarily responsible for the observed PL emission. Raman spectra of the Si NCs decorated on Si NWs exhibit a red shift and an asymmetric broadening of first-order Raman peak as well as the other multi-phonon modes when compared with that of the bulk Si. Quantitative analysis of confinement of phonons in the Si NCs is shown to account for the measured Raman peak shift and asymmetric broadening. To eliminate the laser heating effect on the phonon modes of the Si NWs/NCs, the Raman measurement was performed at extremely low laser power. Both the PL and Raman spectral analysis show a log-normal distribution for the Si NCs, and our transmission electron microscopy results are fully consistent with the results of PL and Raman analyses. We calculate the size distribution of these Si NCs in terms of mean diameter (D 0) and skewness (σ) by correlating the PL spectra and Raman spectra of the as-grown Si NCs decorated on Si NWs.
1st International Symposium onWireless Communication Systems, 2004.
This paper presents a MIMO throughput based assessment of three candidate antenna arrays, each of... more This paper presents a MIMO throughput based assessment of three candidate antenna arrays, each of which was constructed from a different type of antenna element. A model of the MIMO channel resolved in orthogonal polarization planes was employed to apply multipath parameters of the channel to antenna array patterns, in order to predict the antenna-gain inclusive channel response. Based on simulations of the antenna inclusive channel, an analysis of the effect of antenna element properties including directivity, efficiency and polarization on the statistics of the overall MIMO channel response is presented.
Lecture Notes in Computer Science, 2002
In this paper, we propose a new token-based distributed algorithm for total order atomic broadcas... more In this paper, we propose a new token-based distributed algorithm for total order atomic broadcast. We have shown that the proposed algorithm requires lesser number of messages compared to the algorithm where broadcast servers use unicasting to send messages to other broadcast servers. The traditional method of broadcasting requires 3(N − 1) messages to broadcast an application message, where N is the number of broadcast servers present in the system. In this algorithm, the maximum number of token messages required to broadcast an application message is 2N. For a heavily loaded system, the average number of token messages required to broadcast an application message reduces to 2, which is a substantial improvement over the traditional broadcasting approach.
EURASIP Journal on Wireless Communications and Networking, 2007
This paper presents an evaluation of the MIMO performance of three candidate antenna array design... more This paper presents an evaluation of the MIMO performance of three candidate antenna array designs, each embedded within a PDA footprint, using indoor wideband channel measurements at 5.2 GHz alongside channel simulations. A channel model which employs the plane-wave approximation was used to combine the embedded antenna radiation patterns of the candidate devices obtained from far-field pattern measurements and multipath component parameters from an indoor ray-tracer. The 4-element candidate arrays were each constructed using a different type of antenna element, and despite the diverse element directivities, pattern characteristics, and polarization purities, all three devices were constructed to fully exploit diversity in polarization, space, and angle. Thus, low correlation and high information theoretic capacity was observed in each case. A good match between the model and the measurements is also demonstrated, especially for 2 × 2 MIMO subsets of identically or orthogonally polarized linear slot antennas. The interdependencies between the channel XPD, directional spread and pathloss, and the respective impact on channel capacity are also discussed in this paper.
International Journal of Nanoscience, 2011
Growth of Ag nanostructures on Si (111)-7 × 7 surfaces has been investigated at the atomic scale ... more Growth of Ag nanostructures on Si (111)-7 × 7 surfaces has been investigated at the atomic scale regime by studying the evolution of nanoscale surface morphology with Ag coverage. Ag growth on Si (111)-7 × 7 surfaces at room temperature showed a strongly preferential height with even atomic layer thick flat top percolated islands. Here we report that the roughness scaling exponent α and growth scaling exponents β associated with such electronic growth mode are determined by statistical analysis of rough surfaces obtained from scanning tunneling micrograph images of Ag nanostructures grown on Si (111)-7 × 7 surfaces. Observed roughness and growth exponent for this system are 0.82±0.02 and 0.45±0.04, respectively.
2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
ParLearning Introduction and Committees
2014 IEEE 28th International Conference on Advanced Information Networking and Applications, 2014
We model smart grids as complex interdependent networks, and study targeted attacks on smart grid... more We model smart grids as complex interdependent networks, and study targeted attacks on smart grids for the first time. A smart grid consists of two networks: the power network and the communication network, interconnected by edges. Occurrence of failures (attacks) in one network triggers failures in the other network, and propagates in cascades across the networks. Such cascading failures can result in disintegration of either (or both) of the networks. Earlier works considered only random failures. In practical situations, an attacker is more likely to compromise nodes selectively. We study cascading failures in smart grids, where an attacker selectively compromises the nodes with probabilities proportional to their degrees; high degree nodes are compromised with higher probability. We mathematically analyze the sizes of the giant components of the networks under targeted attacks, and compare the results with the corresponding sizes under random attacks. We show that networks disintegrate faster for targeted attacks compared to random attacks. A targeted attack on a small fraction of high degree nodes disintegrates one or both of the networks, whereas both the networks contain giant components for random attack on the same fraction of nodes.
This paper presents a MIMO throughput performance analysis of dynamic vvideband double- direction... more This paper presents a MIMO throughput performance analysis of dynamic vvideband double- directional channel measurements that were recently obtained by the University of Bristol. Identical 16-element Uniform Circular Arrays (UCAs) were employed at both ends of the link and the parameters of the multipath components (MPCs) were extracted. In this paper, the performance analyses of several 4x4 subarrays of the 16x 16 measurement arrays are presented. The MlMO response of these channels was synthesised from the extracted MPCs. A comparison is then made between the capacity estimates from the directly measured and synthesised MIMO channels. This was found to show good agreement.
Journal of Biological Chemistry, 2008
1 receptors represent unique binding sites that are capable of interacting with a wide range of c... more 1 receptors represent unique binding sites that are capable of interacting with a wide range of compounds to mediate different cellular events. The composition of the ligand binding site of this receptor is unclear, since no NMR or crystal structures are available. Recent studies in our laboratory using radiolabeled photoreactive ligands suggested that the steroid binding domain-like I (SBDLI) (amino acids 91-109) and the steroid binding domain-like II (SBDLII) (amino acids 176-194) regions are involved in forming the ligand binding site(s) (Chen, Y.
Information Processing & Management
Estimating the similarity between two legal case documents is an important and challenging proble... more Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation recommendation. There are two broad approaches for the task-citation network-based and text-based. Prior citation network-based approaches consider citations only to prior-cases (also called precedents) (PCNet). This approach misses important signals inherent in Statutes (written laws of a jurisdiction). In this work, we propose Hier-SPCNet that augments PCNet with a heterogeneous network of Statutes. We incorporate domain knowledge for legal document similarity into Hier-SPCNet, thereby obtaining state-of-the-art results for network-based legal document similarity. Both textual and network similarity provide important signals for legal case similarity; but till now, only trivial attempts have been made to unify the two signals. In this work, we apply several methods for combining textual and network information for estimating legal case similarity. We perform extensive experiments over legal case documents from the Indian judiciary, where the gold standard similarity between document-pairs is judged by law experts from two reputed Law institutes in India. Our experiments establish that our proposed network-based methods significantly improve the correlation with domain experts' opinion when compared to the existing methods for network-based legal document similarity. Our best-performing combination method (that combines network-based and text-based similarity) improves the correlation with domain experts' opinion by 11.8% over the best text-based method and 20.6% over the best network-based method. We also establish that our best-performing method can be used to recommend / retrieve citable and similar cases for a source (query) case, which are well appreciated by legal experts. .
Proceedings of the 11th Forum for Information Retrieval Evaluation, 2019
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018
The ever increasing size of real-world datasets provides opportunities to find insights in new an... more The ever increasing size of real-world datasets provides opportunities to find insights in new and emerging types of data and content, to make businesses more agile, and to answer questions that were previously considered beyond our reach-the promise of Big Data. However, scaling up Machine Learning, Data Mining, and reasoning algorithms from Artificial Intelligence for massive datasets remains a major technical challenge. Many algorithms for machine learning and statistical inference are notorious for their computational complexity with respect to the size of the data. Adopting parallel and distributed computing to scale such algorithms appears as an obvious path forward. But the reward varies depending on how amenable the algorithms are to parallel processing and the availability of rapid prototyping capabilities with low cost of entry. To use this data deluge to our advantage, a convergence between the fields of Parallel and Distributed Computing and Machine Learning is necessary.
ArXiv, 2020
Past work on evacuation planning assumes that evacuees will follow instructions -- however, there... more Past work on evacuation planning assumes that evacuees will follow instructions -- however, there is ample evidence that this is not the case. While some people will follow instructions, others will follow their own desires. In this paper, we present a formal definition of a behavior-based evacuation problem (BBEP) in which a human behavior model is taken into account when planning an evacuation. We show that a specific form of constraints can be used to express such behaviors. We show that BBEPs can be solved exactly via an integer program called BB_IP, and inexactly by a much faster algorithm that we call BB_Evac. We conducted a detailed experimental evaluation of both algorithms applied to buildings (though in principle the algorithms can be applied to any graphs) and show that the latter is an order of magnitude faster than BB_IP while producing results that are almost as good on one real-world building graph and as well as on several synthetically generated graphs.
Encyclopedia of Wireless Networks, 2019
Future Generation Computer Systems, 2019
General rights Copyright and moral rights for the publications made accessible in the public port... more General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
British journal of clinical pharmacology, Jan 22, 2018
DFD-09 (doxycycline) oral capsules 40 mg are approved for the treatment of inflammatory lesions o... more DFD-09 (doxycycline) oral capsules 40 mg are approved for the treatment of inflammatory lesions of rosacea. Unlike the food-induced lowering of doxycycline's peak plasma concentration (C ), its exposure under fed conditions in skin, the drug's target site for rosacea, is unknown. The present study explored the effect of food on dermal pharmacokinetics of doxycycline. Pharmacokinetics of doxycycline in dermal interstitial fluid (d-ISF) and plasma of healthy volunteers were assessed in parallel groups under fed (n=6) and fasting (n=6) conditions during a 14-day once-daily treatment course with Doxycycline oral capsules 40 mg (DFD-09). Sampling of d-ISF and plasma were performed on days 1, 10 (fasting group d-ISF only) and 14. Twelve subjects were randomised, 11 analysed. No causally drug-related adverse events occurred. Dermal doxycycline exposures (C and AUC) under fed state were about 30% lower than fasting state at day 1 but were similar at steady-state. In analogy to skin,...
Clinical Drug Investigation, 2017
Background COX-2 inhibitors can be effective for acute migraine, but none is supplied in a rapidl... more Background COX-2 inhibitors can be effective for acute migraine, but none is supplied in a rapidly absorbed, readyto-use oral liquid formulation. DFN-15, a novel oral liquid formulation of celecoxib, is being developed for the acute treatment of migraine with or without aura. Clinical studies with this formulation are ongoing. Objectives The objectives of the present study were to compare the bioavailability of DFN-15 with that of the commercial formulation of celecoxib 400-mg oral capsules (Celebrex Ò) and to determine the dose proportionality of DFN-15 in healthy fasted volunteers. Methods This single-dose randomized crossover study in 16 healthy fasted volunteers evaluated the pharmacokinetics and relative bioavailability of DFN-15 at doses of 120, 180, and 240 mg against the commercial formulation of celecoxib 400-mg oral capsules and determined the dose proportionality of DFN-15. Results The maximum observed plasma concentrations (C max) of celecoxib after the administration of DFN-15 120, 180, and 240 mg (1062-1933 ng/ml) were higher than for the 400-mg oral capsules (611 ng/ml). The median time to peak concentration (T max) was within 1 h for DFN-15 and 2.5 h for the oral capsules. The pharmacokinetics of DFN-15 were dose proportional from 120 to 240 mg. Partial area under the plasma concentration-time curves (AUCs) from 15 min to 2 h for DFN-15 120 mg were at least threefold higher than for the oral capsules, and the relative bioavailability of DFN-15 was approximately 140% that of the oral capsules. DFN-15 was well tolerated, with no new or unexpected adverse events. Conclusions Based on a faster rate of absorption and increased bioavailability, DFN-15 is being evaluated as an abortive medication for acute treatment in patients with migraine.
2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), 2016
Preferential attachment models have been widely studied in complex networks, because they can exp... more Preferential attachment models have been widely studied in complex networks, because they can explain the formation of many networks like social networks, citation networks, power grids, and biological networks, to name a few. Motivated by the application of key predistribution in wireless sensor networks (WSN), we initiate the study of preferential attachment with degree bound. Our paper has two important contributions to two different areas. The first is a contribution in the study of complex networks. We propose preferential attachment model with degree bound for the first time. In the normal preferential attachment model, the degree distribution follows a power law, with many nodes of low degree and a few nodes of high degree. In our scheme, the nodes can have a maximum degree dmax, where dmax is an integer chosen according to the application. The second is in the security of wireless sensor networks. We propose a new key predistribution scheme based on the above model. The important features of this model are that the network is fully connected, it has fewer keys, has larger size of the giant component and lower average path length compared with traditional key predistribution schemes and comparable resilience to random node attacks. We argue that in many networks like key predistribution and Internet of Things, having nodes of very high degree will be a bottleneck in communication. Thus, studying preferential attachment model with degree bound will open up new directions in the study of complex networks, and will have many applications in real world scenarios.
Journal of Raman Spectroscopy, 2015
Arrays of single-crystalline Si nanowires (NWs) decorated with arbitrarily shaped Si nanocrystals... more Arrays of single-crystalline Si nanowires (NWs) decorated with arbitrarily shaped Si nanocrystals (NCs) are grown by a metalassisted chemical etching process using silver (Ag) as the noble metal catalyst. The metal-assisted chemical etching-grown Si NWs exhibit strong photoluminescence (PL) emission in the visible and near infrared region at room temperature. Quantum confinement of carriers in the Si NCs is believed to be primarily responsible for the observed PL emission. Raman spectra of the Si NCs decorated on Si NWs exhibit a red shift and an asymmetric broadening of first-order Raman peak as well as the other multi-phonon modes when compared with that of the bulk Si. Quantitative analysis of confinement of phonons in the Si NCs is shown to account for the measured Raman peak shift and asymmetric broadening. To eliminate the laser heating effect on the phonon modes of the Si NWs/NCs, the Raman measurement was performed at extremely low laser power. Both the PL and Raman spectral analysis show a log-normal distribution for the Si NCs, and our transmission electron microscopy results are fully consistent with the results of PL and Raman analyses. We calculate the size distribution of these Si NCs in terms of mean diameter (D 0) and skewness (σ) by correlating the PL spectra and Raman spectra of the as-grown Si NCs decorated on Si NWs.
1st International Symposium onWireless Communication Systems, 2004.
This paper presents a MIMO throughput based assessment of three candidate antenna arrays, each of... more This paper presents a MIMO throughput based assessment of three candidate antenna arrays, each of which was constructed from a different type of antenna element. A model of the MIMO channel resolved in orthogonal polarization planes was employed to apply multipath parameters of the channel to antenna array patterns, in order to predict the antenna-gain inclusive channel response. Based on simulations of the antenna inclusive channel, an analysis of the effect of antenna element properties including directivity, efficiency and polarization on the statistics of the overall MIMO channel response is presented.
Lecture Notes in Computer Science, 2002
In this paper, we propose a new token-based distributed algorithm for total order atomic broadcas... more In this paper, we propose a new token-based distributed algorithm for total order atomic broadcast. We have shown that the proposed algorithm requires lesser number of messages compared to the algorithm where broadcast servers use unicasting to send messages to other broadcast servers. The traditional method of broadcasting requires 3(N − 1) messages to broadcast an application message, where N is the number of broadcast servers present in the system. In this algorithm, the maximum number of token messages required to broadcast an application message is 2N. For a heavily loaded system, the average number of token messages required to broadcast an application message reduces to 2, which is a substantial improvement over the traditional broadcasting approach.
EURASIP Journal on Wireless Communications and Networking, 2007
This paper presents an evaluation of the MIMO performance of three candidate antenna array design... more This paper presents an evaluation of the MIMO performance of three candidate antenna array designs, each embedded within a PDA footprint, using indoor wideband channel measurements at 5.2 GHz alongside channel simulations. A channel model which employs the plane-wave approximation was used to combine the embedded antenna radiation patterns of the candidate devices obtained from far-field pattern measurements and multipath component parameters from an indoor ray-tracer. The 4-element candidate arrays were each constructed using a different type of antenna element, and despite the diverse element directivities, pattern characteristics, and polarization purities, all three devices were constructed to fully exploit diversity in polarization, space, and angle. Thus, low correlation and high information theoretic capacity was observed in each case. A good match between the model and the measurements is also demonstrated, especially for 2 × 2 MIMO subsets of identically or orthogonally polarized linear slot antennas. The interdependencies between the channel XPD, directional spread and pathloss, and the respective impact on channel capacity are also discussed in this paper.
International Journal of Nanoscience, 2011
Growth of Ag nanostructures on Si (111)-7 × 7 surfaces has been investigated at the atomic scale ... more Growth of Ag nanostructures on Si (111)-7 × 7 surfaces has been investigated at the atomic scale regime by studying the evolution of nanoscale surface morphology with Ag coverage. Ag growth on Si (111)-7 × 7 surfaces at room temperature showed a strongly preferential height with even atomic layer thick flat top percolated islands. Here we report that the roughness scaling exponent α and growth scaling exponents β associated with such electronic growth mode are determined by statistical analysis of rough surfaces obtained from scanning tunneling micrograph images of Ag nanostructures grown on Si (111)-7 × 7 surfaces. Observed roughness and growth exponent for this system are 0.82±0.02 and 0.45±0.04, respectively.
2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
ParLearning Introduction and Committees
2014 IEEE 28th International Conference on Advanced Information Networking and Applications, 2014
We model smart grids as complex interdependent networks, and study targeted attacks on smart grid... more We model smart grids as complex interdependent networks, and study targeted attacks on smart grids for the first time. A smart grid consists of two networks: the power network and the communication network, interconnected by edges. Occurrence of failures (attacks) in one network triggers failures in the other network, and propagates in cascades across the networks. Such cascading failures can result in disintegration of either (or both) of the networks. Earlier works considered only random failures. In practical situations, an attacker is more likely to compromise nodes selectively. We study cascading failures in smart grids, where an attacker selectively compromises the nodes with probabilities proportional to their degrees; high degree nodes are compromised with higher probability. We mathematically analyze the sizes of the giant components of the networks under targeted attacks, and compare the results with the corresponding sizes under random attacks. We show that networks disintegrate faster for targeted attacks compared to random attacks. A targeted attack on a small fraction of high degree nodes disintegrates one or both of the networks, whereas both the networks contain giant components for random attack on the same fraction of nodes.
This paper presents a MIMO throughput performance analysis of dynamic vvideband double- direction... more This paper presents a MIMO throughput performance analysis of dynamic vvideband double- directional channel measurements that were recently obtained by the University of Bristol. Identical 16-element Uniform Circular Arrays (UCAs) were employed at both ends of the link and the parameters of the multipath components (MPCs) were extracted. In this paper, the performance analyses of several 4x4 subarrays of the 16x 16 measurement arrays are presented. The MlMO response of these channels was synthesised from the extracted MPCs. A comparison is then made between the capacity estimates from the directly measured and synthesised MIMO channels. This was found to show good agreement.
Journal of Biological Chemistry, 2008
1 receptors represent unique binding sites that are capable of interacting with a wide range of c... more 1 receptors represent unique binding sites that are capable of interacting with a wide range of compounds to mediate different cellular events. The composition of the ligand binding site of this receptor is unclear, since no NMR or crystal structures are available. Recent studies in our laboratory using radiolabeled photoreactive ligands suggested that the steroid binding domain-like I (SBDLI) (amino acids 91-109) and the steroid binding domain-like II (SBDLII) (amino acids 176-194) regions are involved in forming the ligand binding site(s) (Chen, Y.