WorldCat Identities

Agarwal, Anjali

Works: 17 works in 19 publications in 1 language and 44 library holdings
Genres: Academic theses 
Roles: Editor, Author, Other
Classifications: HJ5715.I4, 336.27140954
Publication Timeline
Most widely held works by Anjali Agarwal
Goods and services tax (GST) : impact on the Indian economy( Book )

1 edition published in 2017 in English and held by 22 WorldCat member libraries worldwide

All-optical loadable and erasable fiber storage buffer based on parametric nonlinearity in fiber by Anjali Agarwal( )

3 editions published in 2001 in English and held by 4 WorldCat member libraries worldwide

Apart from maintenance of data packets, an optical buffer requires loading. This operation is accomplished by using the NFSI as a switch, which is activated only when both data and pump are present. The storage buffer is loaded using the technique of cross-phase modulation (XPM). Externally generated data packets are switched in a phase-insensitive manner by wavelength-induced XPM
Correction: Novel variants in COL4A4 and COL4A5 are rare causes of FSGS in two unrelated families by Stephanie L Hines( )

1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide

Novel variants in COL4A4 and COL4A5 are rare causes of FSGS in two unrelated families by Stephanie L Hines( )

1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide

Business leadership in city planning : the case of the Central Artery by Anjali Agarwal( )

1 edition published in 2005 in English and held by 1 WorldCat member library worldwide

This thesis has been motivated by my interest in the Artery Business Committee (ABC), which was formed in 1989 with a mission to collectively represent the business community's interests in the fear and opportunity presented by the Central Artery Project in Boston. ABC's objectives were to ensure access to the downtown business district during the project and to market the city of Boston as a place to visit, do business in and invest in. This example of ABC presents an interesting paradigm in city planning where business groups recognize their relationship and role in planning for the city future. The same trend can also be found in several other cities. Two leading examples, which have been chosen for detail study, are the Commercial Club of Chicago and the Central Houston Inc. Both the business led civic groups have an agenda similar to that of ABC and promote a better future for their cities. Owing to their efforts, both the business groups now hold a strategic position of influence in their city's planning process and decision-making. Their study offers several important lessons, which can further be used as criteria to judge ABC's role in the planning of the Central Artery Project in Boston
QoS-Based and Secure Multipath Routing in Wireless Sensor Networks by Hind Alwan( )

1 edition published in 2014 in English and held by 1 WorldCat member library worldwide

With the growing demand for quality of service (QoS) aware routing protocols in wireless networks, QoS-based routing has emerged as an interesting research topic. A QoS guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. Furthermore, due to the increased use of sensor nodes in a variety of application fields, WSNs need to handle heterogeneous traffic with diverse priorities to achieve the required QoS. In this thesis, we investigate the problem of providing multi-QoS in routing protocols for WSNs. In particular, we investigate several aspects related to the application requirements and the network states and resources. We present multi-objective QoS aware routing protocol for WSNs that uses the geographic routing mechanism combined with the QoS requirements to meet diverse application requirements by considering the changing conditions of the network. The protocol formulates the application requirements with the links available resources and conditions to design heuristic neighbor discovery algorithms. Also, with the unlimited resource at the sink node, the process of selecting the routing path/paths is assigned to the sink. Paths selection algorithms are designed with various goals in order to extend network lifetime, enhance the reliability of data transmission, decrease end-to-end delay, achieve load balancing and provide fault tolerance. We also develop a cross-layer routing protocol that combines routing at network layer and the time scheduling at the MAC layer with respect to delay and reliability in an energy efficient way. A node-disjoint multipath routing is used and a QoS-aware priority scheduling considering MAC layer is proposed to ensure that real time and non-real time traffic achieve their desired QoS while alleviating congestion in the network. Additionally, we propose new mechanism for secure and reliable data transmission in multipath routing for WSNs. Different levels of security requirements are defined and depending on these requirements, a selective encryption scheme is introduced to encrypt selected number of coded fragments in order to enhance security and thereby reduce the time required for encryption. Node-disjoint multipath routing combined with source coding is used in order to enhance both security and reliability of data transmission. Also, we develop an allocation strategy that allocates fragments on paths to enhance both the security and probability of successful data delivery. Analysis and extensive simulation are conducted to study the performance of all the above proposed protocols
QoS based Route Management in Cognitive Radio Networks by Anirudha Ravindra Kulkarni( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Cognitive radio has become a revolutionary technology that enables the functionalities of dynamic spectrum access. These are the radios that can be programmed and configured dynamically and aims at enhancing the efficiency of spectrum usage by allowing unlicensed users to access/share the licensed spectrum. Cognitive radio networks, a network of cognitive radios, are smart networks that automatically sense the channel and adjust the network parameters accordingly. Therefore, cognitive radio networks raise many challenges such as power management, spectrum management, route management, environment awareness, path robustness, and security issues. As Cognitive Radio (CR) enables dynamic spectrum access which causes adverse effects on network performance because routing protocols that exists were designed considering fixed frequency band. Also, effective routing in CRNs needs local and continual knowledge of its environment. If licensed user (primary user) requests for its channel which is currently used by unlicensed user (secondary user) then unlicensed user has to return the channel to licensed user. However, unlicensed user has to search for another channel and accordingly it needs to seek for route discovery. So, all these important factors need to be accounted for while performing route management. In this thesis, QoS based route management technique is proposed. Proposed model makes use of functionalities of profile exchange mechanism and location services. The proposed QoS routing algorithm contains following elements: (a) each licensed user prepares channel property table which lists all the properties of the channel, whereas all the unlicensed users in the network due to cognitive functionality sense the environment and prepare a table which contains identification information of neighbor node and channel present between them. All unlicensed users share their table with central entity. (b) Central entity with the help of received information and location services prepares routing table for all the nodes in the network. (c) Various Quality of Service (QoS) metrics are considered to improve the performance of the network. The metrics include power transmission, probability of channel availability, probability of PU presence, and Expected Transmission Count. Central entity provides a route to destination based on the QoS level requested by unlicensed users. Proposed model provides a route with minimum end-to-end transmission power, high probability of channel availability, low probability of PU presence and low value of expected transmission count, to increase life span of users in the network, to decrease the delay, to stabilize wireless connectivity and to increase the throughput of the communication, respectively, based on the QoS level requested by a secondary user. Performance of the network is examined by simulating the network in NS2 under simulation environment with the help of end to end delay, throughput, packet delivery ratio, and % packet loss. Proposed model performs better than two other reference models mentioned in the thesis and is shown in the simulation results
Inbound Investments into India : Structuring the Deal! by Anjali Agarwal( )

1 edition published in 2009 in English and held by 1 WorldCat member library worldwide

Power Management in Cognitive Radio Networks by Mahmoud Khasawneh( )

1 edition published in 2013 in English and held by 1 WorldCat member library worldwide

Distributed Shared Memory based Live VM Migration by Tariq Daradkeh( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Cloud computing is the new trend in computing services and IT industry, this computing paradigm has numerous benefits to utilize IT infrastructure resources and reduce services cost. The key feature of cloud computing depends on mobility and scalability of the computing resources, by managing virtual machines. The virtualization decouples the software from the hardware and manages the software and hardware resources in an easy way without interruption of services. Live virtual machine migration is an essential tool for dynamic resource management in current data centers. Live virtual machine is defined as the process of moving a running virtual machine or application between different physical machines without disconnecting the client or application. Many techniques have been developed to achieve this goal based on several metrics (total migration time, downtime, size of data sent and application performance) that are used to measure the performance of live migration. These metrics measure the quality of the VM services that clients care about, because the main goal of clients is keeping the applications performance with minimum service interruption. The pre-copy live VM migration is done in four phases: preparation, iterative migration, stop and copy, and resume and commitment. During the preparation phase, the source and destination physical servers are selected, the resources in destination physical server are reserved, and the critical VM is selected to be migrated. The cloud manager responsibility is to make all of these decisions. VM state migration takes place and memory state is transferred to the target node during iterative migration phase. Meanwhile, the migrated VM continues to execute and dirties its memory. In the stop and copy phase, VM virtual CPU is stopped and then the processor and network states are transferred to the destination host. Service downtime results from stopping VM execution and moving the VM CPU and network states. Finally in the resume and commitment phase, the migrated VM is resumed running in the destination physical host, the remaining memory pages are pulled by destination machine from the source machine. The source machine resources are released and eliminated. In this thesis, pre-copy live VM migration using Distributed Shared Memory (DSM) computing model is proposed. The setup is built using two identical computation nodes to construct all the proposed environment services architecture namely the virtualization infrastructure (Xenserver6.2 hypervisor), the shared storage server (the network file system), and the DSM and High Performance Computing (HPC) cluster. The custom DSM framework is based on a low latency memory update named Grappa. Moreover, HPC cluster is used to parallelize the work load by using CPUs computation nodes. HPC cluster employs OPENMPI and MPI libraries to support parallelization and auto-parallelization. The DSM allows the cluster CPUs to access the same memory space pages resulting in less memory data updates, which reduces the amount of data transferred through the network. The thesis proposed model achieves a good enhancement of the live VM migration metrics. Downtime is reduced by 50 % in the idle workload of Windows VM and 66.6% in case of Ubuntu Linux idle workload. In general, the proposed model not only reduces the downtime and the total amount of data sent, but also does not degrade other metrics like the total migration time and the applications performance
Bayesian variable selection with spike-and-slab priors by Anjali Agarwal( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

A major focus of intensive methodological research in recent times has been on knowledge extraction from high-dimensional datasets made available by advances in research technologies. Coupled with the growing popularity of Bayesian methods in statistical analysis, a range of new techniques have evolved that allow innovative model-building and inference in high-dimensional settings - an important one among these being Bayesian variable selection (BVS). The broad goal of this thesis is to explore different BVS methods and demonstrate their application in high-dimensional psychological data analysis. In particular, the focus will be on a class of sparsity-enforcing priors called 'spike-and-slab' priors which are mixture priors on regression coefficients with density functions that are peaked at zero (the 'spike') and also have large probability mass for a wide range of non-zero values (the 'slab'). It is demonstrated that BVS with spike-and-slab priors achieved a reasonable degree of dimensionality-reduction when applied to a psychiatric dataset in a logistic regression setup. BVS performance was also compared to that of LASSO (least absolute shrinkage and selection operator), a popular machine-learning technique, as reported in Ahn et al.(2016). The findings indicate that BVS with a spike-and-slab prior provides a competitive alternative to machine-learning methods, with the additional advantages of ease of interpretation and potential to handle more complex models. In conclusion, this thesis serves to add a new cutting-edge technique to the lab's tool-shed and helps introduce Bayesian variable-selection to researchers in Cognitive Psychology where it still remains relatively unexplored as a dimensionality-reduction tool
176( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Saturable absorber mode-locked sagnac-cavity Er/Yb fiber laser by Anjali Agarwal( Book )

1 edition published in 1997 in English and held by 1 WorldCat member library worldwide

284( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

1197( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Going Global Through the Alternative Investment Market : Listing of Indian Securities by Anjali Agarwal( )

1 edition published in 2009 in English and held by 1 WorldCat member library worldwide

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Audience level: 0.80 (from 0.58 for Molecular ... to 0.97 for All-optica ...)

Goods and services tax (GST) : impact on the Indian economy
Alternative Names
Anjali Agarwal

English (19)