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Introduction to Simulation
[chapter]
2014
Numerical Methods using MATLAB
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If the company orders Z items, it incurs a cost K + iZ, where K = $32 is the setup cost and i = $3 is the incremental cost per item. (If Z = 0, no cost is incurred.) ...
doi:10.1007/978-1-4842-0154-1_5
fatcat:kqrlmwbefjcnvhgnqvpduok3ta
Introduction to MATLAB
[chapter]
2014
Numerical Methods using MATLAB
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Robotic Exoskeletons for Upper Extremity Rehabilitation
[chapter]
2007
Rehabilitation Robotics
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Finally, Gupta et al. have incorporated their lower-arm exoskeleton device (Gupta and O'Malley 2006 ) into the MIME system, creating a full upper-extremity robotic rehabilitation system (Gupta, Patoglu ...
For a detailed discussion of the design of the exoskeleton, the reader is referred to (Gupta and O'Malley 2006; Sledd and O'Malley 2006) . ...
How to reference In order to correctly reference this scholarly work, feel free to copy and paste the following: Abhishek Gupta and Marcia K. O'Malley (2007) . ...
doi:10.5772/5171
fatcat:77tqanryfreddbqxcbibibwvei
Impact of Blocking Correlation on the Performance of mmWave Cellular Networks
[article]
2021
arXiv
pre-print
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Gupta, V. Malik and A. Gupta are with Indian Institute of Technology Kanpur, India 208016. Email: saurabhg20@iitk.ac.in, vikrant@iitk.ac.in, gkrabhi@iitk.ac.in. J. ...
arXiv:2112.06043v1
fatcat:aj2c2abokzag3owrnxvoiek5sm
kth Distance Distributions of n-Dimensional Matérn Cluster Process
[article]
2020
arXiv
pre-print
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K. Pandey and A. K. Gupta The knowledge of these distributions is useful in many applications. ...
Note that F R k (r) = k i=1 q k−i (r)F R i (r) ≤ k i=1 q k−i (r)F R k (r) ≤ F R k (r). This implies the stochastic dominance of R k over R k ∀ k. B. ...
arXiv:2007.15233v1
fatcat:fw7lk3mi7fcyrb7rzi24cox4eq
Deep Quantized Representation for Enhanced Reconstruction
[article]
2021
arXiv
pre-print
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For L quant , we use the loss function as proposed in [1] on the correlated latent space Y Z and dictionary D = {d 1 , d 2 , · · · , d k }, where k = 128 is length of dictionary to learn for quantization ...
The latent representation of the collected image is quantized using k−means over the entire dataset [1] . This quantized representation is then used to reconstruct the enhanced image. ...
arXiv:2107.14368v1
fatcat:yfshk3n5tveu7l3njgm27vnfum
SINR and Throughput Scaling in Ultradense Urban Cellular Networks
[article]
2015
arXiv
pre-print
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K. Gupta (g.kr.abhishek@utexas.edu) and J. G. ...
arXiv:1507.00701v1
fatcat:rttkyfmzgzgd3k7vhbo7vw7kjy
Macro diversity in Cellular Networks with Random Blockages
[article]
2017
arXiv
pre-print
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Now, we can bound the Area A(S, , θ) from below as follows: A(S, , θ) ≥ A i k + A i k−1 1 E i k−1 + A i k−2 1 E i k−1 ∩ E i k−2 + A i k−3 1 ∩ 2 j=1 E i k−j ∩ E i k−3 + · · · + A i k−l 1 ∩ l−1 j=1 E i k ...
i k−m E [ ] E sin(|θ − Φ i k−m |)1 ∩ m−1 j=1 E i k−j ∩ E i k−m . ...
arXiv:1701.02044v1
fatcat:24f52cxthbfahpr64rqxhkgwom
Analysis of Diffusion Based Molecular Communication System with Multiple Transmitters
[article]
2020
arXiv
pre-print
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Due to the limited capabilities of a single bio-nanomachine, complicated tasks can be performed only with the co-operation of multiple bio-nanomachines. In this work, we consider a diffusion-based molecular communication system with a transmitter bio-nanomachine (TBN) communicating with a fully-absorbing spherical receiver bio-nanomachine (RBN) in the presence of other TBNs. The bits transmitted by each of the TBNs are considered as random in each time slot and different for each TBNs in
arXiv:2005.08960v1
fatcat:3hpphymr5zcxrgmmgo7nibhlxe
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... y to the past works in literature with deterministic bits, which are the same to all TBNs. The TBNs are modeled using a marked Poisson point process (PPP) with the location of TBNs as points of PPP, and the transmit bits as marks. In this paper, we derive the expected number of molecules observed at the RBN and the bit error probability of the system. We validate our analysis using numerical results and provide various design insights about the system.
A new Initial Centroid finding Method based on Dissimilarity Tree for K-means Algorithm
[article]
2015
arXiv
pre-print
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In K-means algorithm, resulting set of clusters depend on the choice of initial centroids. ...
Cluster analysis is one of the primary data analysis technique in data mining and K-means is one of the commonly used partitioning clustering algorithm. ...
On} K = number of required clusters. Output : C = A set of K desired clusters Steps: 1. Randomly opt k data objects for initial centroids from O; 2. ...
arXiv:1509.03200v1
fatcat:ihefinnll5erfd4bn6mpstwv3i
Millimeter-wave and Terahertz Spectrum for 6G Wireless
[article]
2021
arXiv
pre-print
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With the standardization of 5G, commercial millimeter wave (mmWave) communications has become a reality despite all the concerns about the unfavorable propagation characteristics of these frequencies. Even though the 5G systems are still being rolled out, it is argued that their gigabits per second rates may fall short in supporting many emerging applications, such as 3D gaming and extended reality. Such applications will require several hundreds of gigabits per second to several terabits per
arXiv:2102.10267v1
fatcat:ms5khppugncu5fvyplmvs6zizi
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... cond data rates with low latency and high reliability, which are expected to be the design goals of the next generation 6G communications systems. Given the potential of terahertz (THz) communications systems to provide such data rates over short distances, they are widely regarded to be the next frontier for the wireless communications research. The primary goal of this chapter is to equip readers with sufficient background about the mmWave and THz bands so that they are able to both appreciate the necessity of using these bands for commercial communications in the current wireless landscape and to reason the key design considerations for the communications systems operating in these bands. Towards this goal, this chapter provides a unified treatment of these bands with particular emphasis on their propagation characteristics, channel models, design and implementation considerations, and potential applications to 6G wireless. A brief summary of the current standardization activities related to the use of these bands for commercial communications applications is also provided.
Mosquito Olfactory Response Ensemble: a curated database of behavioral and electrophysiological responses enables pattern discovery
[article]
2022
bioRxiv
pre-print
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Many experimental studies have examined behavioral and electrophysiological responses of mosquitoes to odors. However, the differences across studies in data collection, processing, and reporting make it difficult to perform large-scale analyses combining data from multiple studies. Here we extract and standardize data for 12 mosquito species, along with Drosophila melanogaster for comparison, from over 170 studies and curate the Mosquito Olfactory Response Ensemble (MORE), publicly available
doi:10.1101/2022.01.04.474842
fatcat:hwiyasnjdrdihp4eaw7dpa36qu
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... https://neuralsystems.github.io/MORE. We demonstrate the ability of MORE in generating biological insights by finding patterns across studies. Our analyses reveal that ORs are tuned to specific ranges of several physicochemical properties of odorants; the empty-neuron recording technique for measuring OR responses is more sensitive than the Xenopus oocyte technique; there are systematic differences in the behavioral preferences reported by different types of assays; and odorants tend to become less attractive or more aversive at higher concentrations.
On Detection of Critical Events in a Finite Forest using Randomly Deployed Wireless Sensors
[article]
2019
arXiv
pre-print
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Note that the event will be sensed if and only if the intersection of K(t) with ξ is non empty. Hence, T K (t) = P(ξ ∩ K ( t) = φ). ...
Hence, lim r d →0 T K (t) = 1 − e −m 2) As r d → ∞: In this case, the term B(o, r d ) ∩ (Š ⊕ K Yu (t)) = Š ⊕ K Yu (t) which is not a function of Y u . Let us denote this term as Š ⊕ K(t) . ...
arXiv:1904.09543v1
fatcat:2h2bld4kn5b5rl7ffxajzzrydi
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
[article]
2020
arXiv
pre-print
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Then, a blurry frame V i is approximated as: V i = 1 2τ + 1 i β +τ k =i β −τ S k (7) where, S k 's are the sharp frames in the given video. ...
arXiv:2009.01005v1
fatcat:gcuh3ovycnaytbqebcwbr6kx7i
Extraction, isolation and characterization of Bauhinia variegata flower
2020
Journal of Applied Pharmaceutical Sciences and Research
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Bauhinia variegata Linn. is a native plant of Asia and China. B. variegata is found in tropical regions of the world. It belongs to family Leguminosae. It is used for diarrhea, hemorrhoids, constipation, piles, edema, leprosy, wounds, tumors, etc. Objective: The objective of the present study was to perform extraction of B. variegata flower and isolation of active constituents from the extract. Materials and Methods: The ethanolic extraction of B. variegata flower was performed using the
doi:10.31069/japsr.v3i2.2
fatcat:sb2tglhttfdujb5di54l2xv6aq
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... apparatus. The isolation of active constituents from the extract was performed using chromatographic techniques. In column chromatographic studies, n-hexane- [dichloromethane (DCM)] (2:8) was used as an eluting system and further purified through thin layer chromatography (TLC). Compound A and B were isolated through chromatographic techniques, then the molecular formula and characterization of these compounds were carried out with mass and infrared (IR) spectral analysis. Results and Discussion: The percentage yield of B. variegata ethanolic extract (BVE) was found to be 20.8% w/w. The different fractions were F1 having 12.5 grams with n-hexane, F2 (17.1 grams) with CH2Cl2, F3 (21.2 grams) with EtOAc, and F4 (13.4 grams) with EtOH. Compound A and B were isolated from the solvent fractions of n-hexane-DCM (2:8) and EtOAc-DCM (1:9), respectively. The compound A was characterized as 3-hydroxy-6-methoxy-2-phenyl-4H-chromen-4-one. The compound B was characterized as 3-hydroxy-6-methyl-2-phenyl-4H-chromen-4-one. Conclusion: Thus, B. variegata flowers possess active components that need to identify their biological activities.
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