Communications

A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing


Cloud computing is a technique proposed based on the distribution of processing and storage resources across various multiple servers. The user can easily access the services and applications of cloud at any location and moment in this infrastructure. Although these capabilities have made the cloud services more flexible and available, issues such as scheduling and load balancing for optimal use of resources, have always been the main challenges in this infrastructure.

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Citation Author(s):
Submitted by:
Nawzad Al-Salihi
Last updated:
Wed, 04/18/2018 - 07:25
DOI:
10.21227/H2G95P
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[1] , "A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2G95P. Accessed: Apr. 23, 2018.
@data{h2g95p-18,
doi = {10.21227/H2G95P},
url = {http://dx.doi.org/10.21227/H2G95P},
author = { },
publisher = {IEEE Dataport},
title = {A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing},
year = {2018} }
TY - DATA
T1 - A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2G95P
ER -
. (2018). A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing. IEEE Dataport. http://dx.doi.org/10.21227/H2G95P
, 2018. A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing. Available at: http://dx.doi.org/10.21227/H2G95P.
. (2018). "A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing." Web.
1. . A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2G95P
. "A Load Balancing Mechanism to Reduce Energy Consumption with Preservation QoS in Cloud Computing." doi: 10.21227/H2G95P

Robust Machine Learning for Encrypted Traffic Classification


Desktops and laptops can be maliciously exploited to violate privacy. In this paper, we consider the daily battle between the passive attacker who is targeting a specific user against a user that may be adversarial opponent. In this scenario, while the attacker tries to choose the best vector attack by surreptitiously monitoring the victim’s encrypted network traffic in order to identify user’s parameters such as the Operating System (OS), browser and apps. The user may use tools such as a Virtual Private Network (VPN) or even change protocols parameters to protect his/her privacy.

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Citation Author(s):
Submitted by:
Amit Dvir
Last updated:
Tue, 04/17/2018 - 03:50
DOI:
10.21227/H2M37M
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[1] , "Robust Machine Learning for Encrypted Traffic Classification", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2M37M. Accessed: Apr. 23, 2018.
@data{h2m37m-18,
doi = {10.21227/H2M37M},
url = {http://dx.doi.org/10.21227/H2M37M},
author = { },
publisher = {IEEE Dataport},
title = {Robust Machine Learning for Encrypted Traffic Classification},
year = {2018} }
TY - DATA
T1 - Robust Machine Learning for Encrypted Traffic Classification
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2M37M
ER -
. (2018). Robust Machine Learning for Encrypted Traffic Classification. IEEE Dataport. http://dx.doi.org/10.21227/H2M37M
, 2018. Robust Machine Learning for Encrypted Traffic Classification. Available at: http://dx.doi.org/10.21227/H2M37M.
. (2018). "Robust Machine Learning for Encrypted Traffic Classification." Web.
1. . Robust Machine Learning for Encrypted Traffic Classification [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2M37M
. "Robust Machine Learning for Encrypted Traffic Classification." doi: 10.21227/H2M37M

Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure


In this letter, a compact pattern reconfigurable filtering microstrip antenna is presented with broad bandwidth, good selectivity at the passband edge, and flat gain frequency response. The pattern reconfigurable filtering antenna has four resonant modes which can be adjusted independently, three of them are created by multi-mode resonator (MMR) and the other one is by radiator. The four resonant modes are well distributed in desired band and the resonant mode of radiator is located between the first two resonant modes of MMR.

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Citation Author(s):
Submitted by:
Hong-wei Deng
Last updated:
Tue, 04/03/2018 - 05:33
DOI:
10.21227/H2S08H
Data Format:
 
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[1] , "Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2S08H. Accessed: Apr. 23, 2018.
@data{h2s08h-18,
doi = {10.21227/H2S08H},
url = {http://dx.doi.org/10.21227/H2S08H},
author = { },
publisher = {IEEE Dataport},
title = {Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure},
year = {2018} }
TY - DATA
T1 - Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2S08H
ER -
. (2018). Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure. IEEE Dataport. http://dx.doi.org/10.21227/H2S08H
, 2018. Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure. Available at: http://dx.doi.org/10.21227/H2S08H.
. (2018). "Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure." Web.
1. . Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2S08H
. "Broadband Pattern Reconfigurable Filtering Microstrip Antenna with Quasi-Yagi Structure." doi: 10.21227/H2S08H

TEDP: An enhanced topology discovery service for Software-Defined Networking


   Packet INFlow_ModPacket OutData PlaneTEDP-SMedium10766,562510823,751 Deviation2261,474562261,415880 Variance4794625,54794376,690 TEDP-S*Medium170,625227,43751170,625Deviation2,305789811,7114808402,3057898Variance4,9843752,7460937504,984375TEDP_HMedium146,000,000,00146,13Deviation0,730,000,000,81Variance0,500,000,000,61LLDPTheoretical 14444144144TEDP-STheoretical 144881144TEDP-HTheoretical 14400144

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Dataset Details

Citation Author(s):
Submitted by:
Joaquin Alvarez...
Last updated:
Tue, 03/20/2018 - 03:47
DOI:
10.21227/H2XT00
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[1] , "TEDP: An enhanced topology discovery service for Software-Defined Networking", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2XT00. Accessed: Apr. 23, 2018.
@data{h2xt00-18,
doi = {10.21227/H2XT00},
url = {http://dx.doi.org/10.21227/H2XT00},
author = { },
publisher = {IEEE Dataport},
title = {TEDP: An enhanced topology discovery service for Software-Defined Networking},
year = {2018} }
TY - DATA
T1 - TEDP: An enhanced topology discovery service for Software-Defined Networking
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2XT00
ER -
. (2018). TEDP: An enhanced topology discovery service for Software-Defined Networking. IEEE Dataport. http://dx.doi.org/10.21227/H2XT00
, 2018. TEDP: An enhanced topology discovery service for Software-Defined Networking. Available at: http://dx.doi.org/10.21227/H2XT00.
. (2018). "TEDP: An enhanced topology discovery service for Software-Defined Networking." Web.
1. . TEDP: An enhanced topology discovery service for Software-Defined Networking [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2XT00
. "TEDP: An enhanced topology discovery service for Software-Defined Networking." doi: 10.21227/H2XT00

MATLAB code for simulation


The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.

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Dataset Details

Citation Author(s):
Submitted by:
Changheon Lim
Last updated:
Tue, 03/13/2018 - 23:03
DOI:
10.21227/H2894F
Data Format:
Links:
 
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[1] , "MATLAB code for simulation", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2894F. Accessed: Apr. 23, 2018.
@data{h2894f-18,
doi = {10.21227/H2894F},
url = {http://dx.doi.org/10.21227/H2894F},
author = { },
publisher = {IEEE Dataport},
title = {MATLAB code for simulation},
year = {2018} }
TY - DATA
T1 - MATLAB code for simulation
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2894F
ER -
. (2018). MATLAB code for simulation. IEEE Dataport. http://dx.doi.org/10.21227/H2894F
, 2018. MATLAB code for simulation. Available at: http://dx.doi.org/10.21227/H2894F.
. (2018). "MATLAB code for simulation." Web.
1. . MATLAB code for simulation [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2894F
. "MATLAB code for simulation." doi: 10.21227/H2894F

MATLAB code for simulation


The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.

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No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
Changheon Lim
Last updated:
Tue, 03/13/2018 - 23:01
DOI:
10.21227/H2D083
Data Format:
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[1] , "MATLAB code for simulation", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2D083. Accessed: Apr. 23, 2018.
@data{h2d083-18,
doi = {10.21227/H2D083},
url = {http://dx.doi.org/10.21227/H2D083},
author = { },
publisher = {IEEE Dataport},
title = {MATLAB code for simulation},
year = {2018} }
TY - DATA
T1 - MATLAB code for simulation
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2D083
ER -
. (2018). MATLAB code for simulation. IEEE Dataport. http://dx.doi.org/10.21227/H2D083
, 2018. MATLAB code for simulation. Available at: http://dx.doi.org/10.21227/H2D083.
. (2018). "MATLAB code for simulation." Web.
1. . MATLAB code for simulation [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2D083
. "MATLAB code for simulation." doi: 10.21227/H2D083

Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer


An integration process for the fabrication of thin film bulk acoustic wave resonator (FBAR) above the CMOS IC is proposed. An adhesive-bonding-based film transfer technique is utilized to transfer high resistivity Si film onto a CMOS chip. Benzocyclobutene (BCB) is used as an adhesive film. It is a heat resistive polymer and processes of temperature up to 300 C are allowed on it. The CMOS is protected by BCB and thus is not damaged by plasma and chemical treatments.

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Citation Author(s):
Submitted by:
Abhay Kochhar
Last updated:
Tue, 01/30/2018 - 12:03
DOI:
10.21227/H2GM18
 
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[1] , "Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2GM18. Accessed: Apr. 23, 2018.
@data{h2gm18-18,
doi = {10.21227/H2GM18},
url = {http://dx.doi.org/10.21227/H2GM18},
author = { },
publisher = {IEEE Dataport},
title = {Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer},
year = {2018} }
TY - DATA
T1 - Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2GM18
ER -
. (2018). Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer. IEEE Dataport. http://dx.doi.org/10.21227/H2GM18
, 2018. Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer. Available at: http://dx.doi.org/10.21227/H2GM18.
. (2018). "Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer." Web.
1. . Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2GM18
. "Monolithic Fabrication of Film Bulk Acoustic Resonators above Integrated Circuit by Adhesive- Bonding-Based Film Transfer." doi: 10.21227/H2GM18

Wi-Fi signal strength measurements from smartphone for various hand gestures


The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value

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Dataset Details

Citation Author(s):
Submitted by:
Ramviyas Parasuraman
Last updated:
Mon, 01/08/2018 - 21:53
DOI:
10.21227/H2C362
Data Format:
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[1] , "Wi-Fi signal strength measurements from smartphone for various hand gestures", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2C362. Accessed: Apr. 23, 2018.
@data{h2c362-18,
doi = {10.21227/H2C362},
url = {http://dx.doi.org/10.21227/H2C362},
author = { },
publisher = {IEEE Dataport},
title = {Wi-Fi signal strength measurements from smartphone for various hand gestures},
year = {2018} }
TY - DATA
T1 - Wi-Fi signal strength measurements from smartphone for various hand gestures
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2C362
ER -
. (2018). Wi-Fi signal strength measurements from smartphone for various hand gestures. IEEE Dataport. http://dx.doi.org/10.21227/H2C362
, 2018. Wi-Fi signal strength measurements from smartphone for various hand gestures. Available at: http://dx.doi.org/10.21227/H2C362.
. (2018). "Wi-Fi signal strength measurements from smartphone for various hand gestures." Web.
1. . Wi-Fi signal strength measurements from smartphone for various hand gestures [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2C362
. "Wi-Fi signal strength measurements from smartphone for various hand gestures." doi: 10.21227/H2C362

Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net


I.INTRODUCTION ANN artificial neural networks recover your reproducible sound and vision clarity as its low carbon energy using silicon wave the effect it produces near bomb devices is extremely affective to sensory nerves and site versioning of 32 feet.Net is useful for all societies across the world fighting against nuclear weapons its basically Cognitive Sciences integrated Computer Science seismic activity detection using its waves in Bluetooth. Devices as they are short haul waves for long distance communication.

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Citation Author(s):
Submitted by:
Nisha Mithal
Last updated:
Fri, 02/16/2018 - 20:56
DOI:
10.21227/H22S99
Data Format:
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[1] , "Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H22S99. Accessed: Apr. 23, 2018.
@data{h22s99-18,
doi = {10.21227/H22S99},
url = {http://dx.doi.org/10.21227/H22S99},
author = { },
publisher = {IEEE Dataport},
title = {Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net},
year = {2018} }
TY - DATA
T1 - Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H22S99
ER -
. (2018). Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net. IEEE Dataport. http://dx.doi.org/10.21227/H22S99
, 2018. Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net. Available at: http://dx.doi.org/10.21227/H22S99.
. (2018). "Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net." Web.
1. . Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H22S99
. "Description WPF How to Send Data Through Bluetooth in a WPF Application Using 32feet.Net." doi: 10.21227/H22S99

Performance Analysis of Media-based Modulation with Imperfect Channel State Information


Media-based modulation (MBM) is an attractive modulation scheme where
information bits are conveyed by digitally controlling the ON/OFF status
of radio frequency mirrors (which are parasitic elements) placed near the transmit antenna. The MBM alphabet (which is the set of channel fade

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Dataset Details

Citation Author(s):
Submitted by:
Ananthanarayana...
Last updated:
Sun, 12/31/2017 - 10:29
DOI:
10.21227/H2TH2Q
 
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[1] , "Performance Analysis of Media-based Modulation with Imperfect Channel State Information", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2TH2Q. Accessed: Apr. 23, 2018.
@data{h2th2q-17,
doi = {10.21227/H2TH2Q},
url = {http://dx.doi.org/10.21227/H2TH2Q},
author = { },
publisher = {IEEE Dataport},
title = {Performance Analysis of Media-based Modulation with Imperfect Channel State Information},
year = {2017} }
TY - DATA
T1 - Performance Analysis of Media-based Modulation with Imperfect Channel State Information
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2TH2Q
ER -
. (2017). Performance Analysis of Media-based Modulation with Imperfect Channel State Information. IEEE Dataport. http://dx.doi.org/10.21227/H2TH2Q
, 2017. Performance Analysis of Media-based Modulation with Imperfect Channel State Information. Available at: http://dx.doi.org/10.21227/H2TH2Q.
. (2017). "Performance Analysis of Media-based Modulation with Imperfect Channel State Information." Web.
1. . Performance Analysis of Media-based Modulation with Imperfect Channel State Information [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2TH2Q
. "Performance Analysis of Media-based Modulation with Imperfect Channel State Information." doi: 10.21227/H2TH2Q

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