Deepam Hospitals operates 4 hospitals in Chennai, India providing healthcare services. The hospitals are located in Pallavaram, West Tambaram, Chromepet, and Tambaram. Contact information including addresses and telephone numbers are provided for each of Deepam Hospitals' 4 locations in Chennai.
Brown bread is healthier than white bread for several reasons. White bread contains highly refined carbohydrates that cause blood sugar and insulin levels to spike, which can lead to fat storage. It also contains synthetic additives. Brown bread, on the other hand, is made from whole wheat and contains more fiber, vitamins, and minerals. It has a lower glycemic index, which prevents sharp rises in blood sugar. Brown bread is also less processed and does not have synthetic additives removed during production like white bread. Overall, brown bread is the healthier choice due to its nutritional composition and lower impact on blood sugar levels.
This document contains details of 70 engineering colleges in Tamil Nadu, India. It lists the college name, address, contact details like email, phone, and website. It also mentions the courses offered by each college like computer science, electronics, mechanical, electrical engineering etc. The colleges are spread across different districts of Tamil Nadu like Chennai, Kancheepuram, Vellore, Tiruvallur and others. The document acts as a reference list for engineering colleges and courses offered in the state of Tamil Nadu.
The document lists 9 academic papers related to android computing from 2015. The papers cover topics such as android malware detection using decompiled source code, the impact of API changes on user ratings of android apps, analyzing permission leakage between android apps, using smartphones to crowdsource image sensing, secure barcode-based visible light communication for smartphones, recommending friends in social networks semantically, analyzing obfuscated smartphone malware, controlling photo sharing on social networks, and continuous user identity verification for secure internet services.
The document lists 7 articles related to optical fiber networks and technologies. The articles cover topics such as backhaul-aware user association in FiWi enhanced LTE-A heterogeneous networks, cellular underwater wireless optical CDMA networks, compressed-domain ship detection on spaceborne optical images using deep neural networks and extreme learning machines, dynamic access network reorganization for the depopulation age, broadcasting control of intelligent air conditioners using power-line-carrier technology, airborne internet access through submarine optical fiber cables, and quantitative and qualitative monitoring systems for switchgear with full electrical isolation using fiber-optic technology. Contact information is provided for any queries.
Congestion control, routing, and scheduling 2015parry prabhu
This document summarizes a research paper about congestion control, routing, and scheduling in wireless networks with interference cancellation capabilities. It discusses using successive interference cancellation (SIC) to allow multiple concurrent transmissions and increase network capacity. The paper formulates the joint congestion control, routing, and scheduling problem and solves it in a distributed manner using dual decomposition. It develops a decentralized algorithm for link scheduling under the physical SINR interference model that coordinates local transmissions and achieves similar results to centralized greedy maximal scheduling. The paper evaluates the performance gains from SIC and shows that network flows can achieve up to twice their rates compared to networks without interference cancellation.
The document lists 10 cloud computing topics related to privacy and security, including shared authentication protocols, denial of service strategies, privacy-preserving keyword search, attribute-based encryption, and mechanisms for secure data sharing in cloud storage.
The document lists 9 academic papers related to android computing from 2015. The papers cover topics such as android malware detection using decompiled source code, the impact of API changes on user ratings of android apps, analyzing permission leakage between android apps, using smartphones to crowdsource image sensing, secure barcode-based visible light communication for smartphones, recommending friends in social networks semantically, analyzing obfuscated smartphone malware, controlling photo sharing on social networks, and continuous user identity verification for secure internet services.
Deepam Hospitals operates 4 hospitals in Chennai, India providing healthcare services. The hospitals are located in Pallavaram, West Tambaram, Chromepet, and Tambaram. Contact information including addresses and telephone numbers are provided for each of Deepam Hospitals' 4 locations in Chennai.
Brown bread is healthier than white bread for several reasons. White bread contains highly refined carbohydrates that cause blood sugar and insulin levels to spike, which can lead to fat storage. It also contains synthetic additives. Brown bread, on the other hand, is made from whole wheat and contains more fiber, vitamins, and minerals. It has a lower glycemic index, which prevents sharp rises in blood sugar. Brown bread is also less processed and does not have synthetic additives removed during production like white bread. Overall, brown bread is the healthier choice due to its nutritional composition and lower impact on blood sugar levels.
This document contains details of 70 engineering colleges in Tamil Nadu, India. It lists the college name, address, contact details like email, phone, and website. It also mentions the courses offered by each college like computer science, electronics, mechanical, electrical engineering etc. The colleges are spread across different districts of Tamil Nadu like Chennai, Kancheepuram, Vellore, Tiruvallur and others. The document acts as a reference list for engineering colleges and courses offered in the state of Tamil Nadu.
The document lists 9 academic papers related to android computing from 2015. The papers cover topics such as android malware detection using decompiled source code, the impact of API changes on user ratings of android apps, analyzing permission leakage between android apps, using smartphones to crowdsource image sensing, secure barcode-based visible light communication for smartphones, recommending friends in social networks semantically, analyzing obfuscated smartphone malware, controlling photo sharing on social networks, and continuous user identity verification for secure internet services.
The document lists 7 articles related to optical fiber networks and technologies. The articles cover topics such as backhaul-aware user association in FiWi enhanced LTE-A heterogeneous networks, cellular underwater wireless optical CDMA networks, compressed-domain ship detection on spaceborne optical images using deep neural networks and extreme learning machines, dynamic access network reorganization for the depopulation age, broadcasting control of intelligent air conditioners using power-line-carrier technology, airborne internet access through submarine optical fiber cables, and quantitative and qualitative monitoring systems for switchgear with full electrical isolation using fiber-optic technology. Contact information is provided for any queries.
Congestion control, routing, and scheduling 2015parry prabhu
This document summarizes a research paper about congestion control, routing, and scheduling in wireless networks with interference cancellation capabilities. It discusses using successive interference cancellation (SIC) to allow multiple concurrent transmissions and increase network capacity. The paper formulates the joint congestion control, routing, and scheduling problem and solves it in a distributed manner using dual decomposition. It develops a decentralized algorithm for link scheduling under the physical SINR interference model that coordinates local transmissions and achieves similar results to centralized greedy maximal scheduling. The paper evaluates the performance gains from SIC and shows that network flows can achieve up to twice their rates compared to networks without interference cancellation.
The document lists 10 cloud computing topics related to privacy and security, including shared authentication protocols, denial of service strategies, privacy-preserving keyword search, attribute-based encryption, and mechanisms for secure data sharing in cloud storage.
The document lists 9 academic papers related to android computing from 2015. The papers cover topics such as android malware detection using decompiled source code, the impact of API changes on user ratings of android apps, analyzing permission leakage between android apps, using smartphones to crowdsource image sensing, secure barcode-based visible light communication for smartphones, recommending friends in social networks semantically, analyzing obfuscated smartphone malware, controlling photo sharing on social networks, and continuous user identity verification for secure internet services.
The document describes 5 database tables with their field names and data types:
1) The User table stores user registration information like ID, username, password, location.
2) The Support table tracks support requests with fields for description, file name and location.
3) The Search Log table logs search activities with fields for search ID, username, keywords, URLs and count.
4) The Primary Key table contains a primary ID, description, file name and location fields.
5) The Main DB table stores a file name and location.
This document provides 4 links to technical papers related to wireless sensor networks. The papers discuss topics such as secure data distribution in wireless sensor networks, optimizing watchdog systems for more energy efficient trust systems, using game theory to analyze defeating jamming attacks through strategic use of silence, and the design of a cost-aware secure routing protocol for wireless sensor networks called CASER.
This document presents a theoretical method for analyzing the performance of wireless body sensors in terms of channel capacity and bit error rate when experiencing slow and fast fading effects. Analytical expressions are developed for channel capacity and BER for different propagation scenarios, including implant-to-implant, implant-to-body surface, and body-surface-to-body-surface. Numerical results using realistic channel models indicate high outage probability and degraded capacity due to complex propagation on body surfaces and inside the body. Communication links must be optimized with fade mitigation techniques to achieve high quality-of-service requirements for biomedical systems. The results provide insight into how the propagation channel affects performance and allow evaluating technical feasibility for different scenarios.
This document discusses the challenges of building a network infrastructure to support big data applications. Large amounts of data are being generated every day from a variety of sources and need to be aggregated and processed in powerful data centers. However, networks must be optimized to efficiently gather data from distributed sources, transport it to data centers over the Internet backbone, and distribute results. The unique demands of big data in terms of volume, variety and velocity are testing whether current networks can keep up. The document examines each segment of the required network from access networks to inter-data center networks and the challenges in supporting big data applications.
This document outlines the hardware and software configuration for a system, including a Pentium processor running at 1.1 GHz with 256 MB RAM and 20 GB hard disk as the hardware configuration, and Windows 95/98/2000/XP as the operating system with vm ware, Hadoop and Mongo DB as the software configuration.
Vector sparse representation of color image using quaternion matrix analysisparry prabhu
The document proposes a vector sparse representation model for color images using quaternion matrix analysis. It represents color images as quaternion matrices, where a quaternion dictionary learning algorithm uses K-quaternion SVD to select sparse bases in quaternion space. This preserves inherent color structures during reconstruction while being more efficient than current sparse models. Experimental results show it avoids hue bias issues and has potential in color image analysis and processing. Future work may explore using the real part of quaternions for four-channel color spaces and improving algorithm convergence.
This document provides installation instructions for Card Recovery software. It instructs the user to unpack a zip file, open and activate the older version using a serial number text file, then open the newer unactivated version to enjoy the software.
This document proposes a real-time big data analytical architecture for remote sensing applications to address scalability issues in handling huge amounts of data. The architecture includes a remote sensing data acquisition unit to collect raw data, a data processing unit to filter and load balance the useful data, and a data analytics decision unit to compile results and generate decisions. It also describes algorithms for filtration and load balancing, processing and calculation, aggregation and compilation, and decision making.
Hasbe a hierarchical attribute based solution for flexible and scalable acces...parry prabhu
The document proposes a Hierarchical Attribute-Set-Based Encryption (HASBE) scheme to provide scalable and flexible access control for outsourced data in cloud computing. HASBE extends Ciphertext-Policy Attribute-Set-Based Encryption with a hierarchical user structure for scalability. It also supports compound attributes for flexibility and fine-grained access control. HASBE employs multiple expiration times to more efficiently revoke users compared to existing schemes. The security of HASBE is formally proven based on CP-ABE security. The scheme is implemented and experiments show it efficiently and flexibly handles access control for outsourced cloud data.
system requirement for network simulator projectsparry prabhu
This document outlines the system requirements for hardware including a processor over 500 MHz, 128MB of RAM, 10GB of hard disk space, and 650MB of compact disk space. It also lists the software requirements including an operating system of Windows 2000/XP or Fedora 8.0, the TCL coding++ programming package, and the VMware Workstation tools.
Privacy preserving public auditing for regenerating-code-based cloud storageparry prabhu
This document proposes a public auditing scheme for cloud storage using regenerating codes to provide fault tolerance. It introduces a proxy that is authorized to regenerate authenticators in the absence of data owners, solving the regeneration problem. The scheme uses a novel public verifiable authenticator generated by keys that allows regeneration using partial keys, removing the need for data owners to stay online. It also randomizes encoding coefficients with a pseudorandom function to preserve data privacy.
Java requirements include a Pentium IV 2.4 GHz processor, 40GB hard disk, 15" VGA color monitor, and 256MB RAM for hardware. The software requirements are Windows XP for the operating system, JSP for the front end, and SQL Server for the back end database.
The project aims to implement Multi-Interface Multi-Channel (MIMC) for hybrid wireless mesh networks to improve performance metrics like packet loss, throughput, and delay. It will enhance the Optimized Link State Routing (OLSR) protocol to incorporate MIMC by evaluating channel quality, selecting best channels, and using an enhanced routing metric considering channel alternation, quality, and hop count. The implementation will be done in C++ using the NS-2 network simulator, for which a multiple interface plugin is already available, making the project technically feasible.
The document describes 5 database tables with their field names and data types:
1) The User table stores user registration information like ID, username, password, location.
2) The Support table tracks support requests with fields for description, file name and location.
3) The Search Log table logs search activities with fields for search ID, username, keywords, URLs and count.
4) The Primary Key table contains a primary ID, description, file name and location fields.
5) The Main DB table stores a file name and location.
This document provides 4 links to technical papers related to wireless sensor networks. The papers discuss topics such as secure data distribution in wireless sensor networks, optimizing watchdog systems for more energy efficient trust systems, using game theory to analyze defeating jamming attacks through strategic use of silence, and the design of a cost-aware secure routing protocol for wireless sensor networks called CASER.
This document presents a theoretical method for analyzing the performance of wireless body sensors in terms of channel capacity and bit error rate when experiencing slow and fast fading effects. Analytical expressions are developed for channel capacity and BER for different propagation scenarios, including implant-to-implant, implant-to-body surface, and body-surface-to-body-surface. Numerical results using realistic channel models indicate high outage probability and degraded capacity due to complex propagation on body surfaces and inside the body. Communication links must be optimized with fade mitigation techniques to achieve high quality-of-service requirements for biomedical systems. The results provide insight into how the propagation channel affects performance and allow evaluating technical feasibility for different scenarios.
This document discusses the challenges of building a network infrastructure to support big data applications. Large amounts of data are being generated every day from a variety of sources and need to be aggregated and processed in powerful data centers. However, networks must be optimized to efficiently gather data from distributed sources, transport it to data centers over the Internet backbone, and distribute results. The unique demands of big data in terms of volume, variety and velocity are testing whether current networks can keep up. The document examines each segment of the required network from access networks to inter-data center networks and the challenges in supporting big data applications.
This document outlines the hardware and software configuration for a system, including a Pentium processor running at 1.1 GHz with 256 MB RAM and 20 GB hard disk as the hardware configuration, and Windows 95/98/2000/XP as the operating system with vm ware, Hadoop and Mongo DB as the software configuration.
Vector sparse representation of color image using quaternion matrix analysisparry prabhu
The document proposes a vector sparse representation model for color images using quaternion matrix analysis. It represents color images as quaternion matrices, where a quaternion dictionary learning algorithm uses K-quaternion SVD to select sparse bases in quaternion space. This preserves inherent color structures during reconstruction while being more efficient than current sparse models. Experimental results show it avoids hue bias issues and has potential in color image analysis and processing. Future work may explore using the real part of quaternions for four-channel color spaces and improving algorithm convergence.
This document provides installation instructions for Card Recovery software. It instructs the user to unpack a zip file, open and activate the older version using a serial number text file, then open the newer unactivated version to enjoy the software.
This document proposes a real-time big data analytical architecture for remote sensing applications to address scalability issues in handling huge amounts of data. The architecture includes a remote sensing data acquisition unit to collect raw data, a data processing unit to filter and load balance the useful data, and a data analytics decision unit to compile results and generate decisions. It also describes algorithms for filtration and load balancing, processing and calculation, aggregation and compilation, and decision making.
Hasbe a hierarchical attribute based solution for flexible and scalable acces...parry prabhu
The document proposes a Hierarchical Attribute-Set-Based Encryption (HASBE) scheme to provide scalable and flexible access control for outsourced data in cloud computing. HASBE extends Ciphertext-Policy Attribute-Set-Based Encryption with a hierarchical user structure for scalability. It also supports compound attributes for flexibility and fine-grained access control. HASBE employs multiple expiration times to more efficiently revoke users compared to existing schemes. The security of HASBE is formally proven based on CP-ABE security. The scheme is implemented and experiments show it efficiently and flexibly handles access control for outsourced cloud data.
system requirement for network simulator projectsparry prabhu
This document outlines the system requirements for hardware including a processor over 500 MHz, 128MB of RAM, 10GB of hard disk space, and 650MB of compact disk space. It also lists the software requirements including an operating system of Windows 2000/XP or Fedora 8.0, the TCL coding++ programming package, and the VMware Workstation tools.
Privacy preserving public auditing for regenerating-code-based cloud storageparry prabhu
This document proposes a public auditing scheme for cloud storage using regenerating codes to provide fault tolerance. It introduces a proxy that is authorized to regenerate authenticators in the absence of data owners, solving the regeneration problem. The scheme uses a novel public verifiable authenticator generated by keys that allows regeneration using partial keys, removing the need for data owners to stay online. It also randomizes encoding coefficients with a pseudorandom function to preserve data privacy.
Java requirements include a Pentium IV 2.4 GHz processor, 40GB hard disk, 15" VGA color monitor, and 256MB RAM for hardware. The software requirements are Windows XP for the operating system, JSP for the front end, and SQL Server for the back end database.
The project aims to implement Multi-Interface Multi-Channel (MIMC) for hybrid wireless mesh networks to improve performance metrics like packet loss, throughput, and delay. It will enhance the Optimized Link State Routing (OLSR) protocol to incorporate MIMC by evaluating channel quality, selecting best channels, and using an enhanced routing metric considering channel alternation, quality, and hop count. The implementation will be done in C++ using the NS-2 network simulator, for which a multiple interface plugin is already available, making the project technically feasible.
1. System requirements :
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:
• Operating system : - Windows XP Professional.
• Front End : - VISUAL STUDIO 2010
• Back end : - SQL server 2008
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