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Conferences related to Ieee Regions

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2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


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Most published Xplore authors for Ieee Regions

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Xplore Articles related to Ieee Regions

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Invariance of the Han–Kobayashi Region With Respect to Temporally-Correlated Gaussian Inputs

IEEE Transactions on Information Theory, 2019

We establish that the multi-letter extension of the Han-Kobayashi achievable region with temporally correlated vector Gaussian inputs matches the Han- Kobayashi achievable region with scalar Gaussian inputs for the Gaussian interference channel.


[Various Forums - 4 abstracts]

TENCON 2017 - 2017 IEEE Region 10 Conference, 2017

The following topics are dealt with: feature extraction; learning (artificial intelligence); power grids; wireless sensor networks; medical image processing; image classification; diseases; medical signal processing; distributed power generation; and image segmentation.


Transport characterization of silicon nanowire field effect transistors with strain and scattering

TENCON 2017 - 2017 IEEE Region 10 Conference, 2017

In this paper, we have investigated the non-ballistic properties of Silicon Nanowire Field Effect Transistor (SiNW-FET) which has significant potential in future nanoelectronic applications. Our first goal is to study the effects of non-ballistic properties like elastic scattering and strain effect. The study reveals that elastic scattering decreases the drain current whereas tensile strain tends to increase it. Secondly, effects ...


Alphabet Sign Language Image Classification Using Deep Learning

TENCON 2018 - 2018 IEEE Region 10 Conference, 2018

Sign language is very important for people who have impaired hearing and speaking inabilities. In this work, we present a method to classify RGB images of static letter hand poses in Sign Language using a Convolutional Neural Netowrk (CNN) inspired by Densely Connected Convolutional Neural Networks (DenseNet). It was further implemented to classify sign languages in real time using a ...


2D code construction using DW code families for SAC-OCDMA systems

TENCON 2017 - 2017 IEEE Region 10 Conference, 2017

One Dimensional (1D) Double Weight (DW) code families are one of the coding schemes reported for Spectral Amplitude Coding - Optical Code Division Multiple Access systems. Modified Double Weight code and Enhanced Double Weight code are two algorithms which increase the scope of DW code for even and odd weights respectively. By using above mentioned codes, two Dimensional (2D) codes ...


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Educational Resources on Ieee Regions

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IEEE-USA E-Books

  • Invariance of the Han–Kobayashi Region With Respect to Temporally-Correlated Gaussian Inputs

    We establish that the multi-letter extension of the Han-Kobayashi achievable region with temporally correlated vector Gaussian inputs matches the Han- Kobayashi achievable region with scalar Gaussian inputs for the Gaussian interference channel.

  • [Various Forums - 4 abstracts]

    The following topics are dealt with: feature extraction; learning (artificial intelligence); power grids; wireless sensor networks; medical image processing; image classification; diseases; medical signal processing; distributed power generation; and image segmentation.

  • Transport characterization of silicon nanowire field effect transistors with strain and scattering

    In this paper, we have investigated the non-ballistic properties of Silicon Nanowire Field Effect Transistor (SiNW-FET) which has significant potential in future nanoelectronic applications. Our first goal is to study the effects of non-ballistic properties like elastic scattering and strain effect. The study reveals that elastic scattering decreases the drain current whereas tensile strain tends to increase it. Secondly, effects of change in drain voltage and temperature on SiNW-FET's non-ballistic I-V characteristics have been studied in this paper. It has been observed that the degree of ballisticity decreases with the increase of temperature for lower drain bias but increases with temperature for higher drain voltage. Finally, we have studied the ballisticity for Carbon Nanotube Field Effect Transistor (CNT-FET). It has been shown that SiNW-FET exhibits better performance than CNT-FET for the combined non-ballistic effects as the degree of ballisticity is higher for the former.

  • Alphabet Sign Language Image Classification Using Deep Learning

    Sign language is very important for people who have impaired hearing and speaking inabilities. In this work, we present a method to classify RGB images of static letter hand poses in Sign Language using a Convolutional Neural Netowrk (CNN) inspired by Densely Connected Convolutional Neural Networks (DenseNet). It was further implemented to classify sign languages in real time using a web camera. DenseNet has been widely used for classification tasks due to the advantages it introduces such as alleviating the vanishing gradient - a common problem encountered with deep networks. Since a deep network is proposed to be used for our sign language classification task, this characteristic is useful. Our proposed network was able to achieve an accuracy of 90.3 % which is comparable to other works including those that used depth images in addition to RGB images. Our network was also able to achieve prediction rates of 50 to 100 Hz which makes it capable of real-time prediction.

  • 2D code construction using DW code families for SAC-OCDMA systems

    One Dimensional (1D) Double Weight (DW) code families are one of the coding schemes reported for Spectral Amplitude Coding - Optical Code Division Multiple Access systems. Modified Double Weight code and Enhanced Double Weight code are two algorithms which increase the scope of DW code for even and odd weights respectively. By using above mentioned codes, two Dimensional (2D) codes are generated. For each dimension, one code construction algorithm is used. 2D codes have different code weight combinations like even-odd weight, odd-odd weight etc. Proposed 2D code is compared with 1D and other 2D codes for Bit Error Rate.

  • Calcification boundary detection in coronary artery using intravascular ultrasound images

    In this paper, we proposed a novel procedure to detect the calcification boundary and measure the calcification area in the tunica media coronary artery using an intravascular ultrasound image (IVUS). The calcification of interest is near the tunica intima region. This study used an Otsu threshold, a morphological operation and an empirical threshold in detecting the contour of the calcification, and hence the boundary. The data used in this study are from Training Set B of the MICCAI 2011 Challenge. The proposed method used is straightforward and easy to implement and obtained of 82% accuracy, 80% sensitivity and 84% specificity.

  • Measurement of illness and wellness score of non-communicable disease patients

    This research aims to develop a technique to measure healthcare data of non- communicable disease (diabetes, hypertension etc.) patients and score their health status. We introduce two different scoring mechanism and apply the methods on our Portable Health Clinic (PHC) patients to verify the effectiveness of the obtained scores. PHC has a triage to classify the patients in four colored groups (green, yellow, orange and red) depending on the severity of their status. These color codes were designed based on WHO's recommendations. On the top of the triage, we applied two mechanisms (a) a simple decimal scoring system, and (b) mathematically obtained weighted score to determine wellness score of a patient. We applied the technique on 5895 patients to see the average wellness score of each patient and displayed them against the age. The displayed graph shows the trend that the younger people have more wellness score. The obtained results match with our traditional wisdom. We want to observe health status of individual patient to verify the accuracy of the scoring system.

  • Development of a low power 8-bit successive approximation register ADC in 90nm process technology for biomedical application

    The world, as it is today, has been surrounded with the abundance of internet and wireless application thus brings challenges for the design engineers in bring analog signals into digital signals. That is why, Analog-to-Digital Converter (ADC) is introduced. This ADC will be used for biomedical purposes that could be complemented into sensor platform. The SAR ADC is suitable for biomedical applications and to implement this, the researchers used Synopsys EDA tools in 90nm CMOS technology supplying 1.2V to the design and targeting a sampling rate of 100kS/s which is ideal for biomedical application. The researchers also target a power consumption of 20uW or evenl less based on references researched.

  • Impact analysis of distributed generation integration on distribution network considering smart grid scenario

    The ever growing economy in India with its rising population, improving living standards is witness to a growing appetite for quality and quantity of energy services. The goal set by nation is to achieve renewable energy generation of of 175 GW by 2022. This presents the power system planners with a challenge to ensure access for prosumers to modern energy which is environmentally, institutionally and economically sustainable. The power sector in India is augmenting power evacuation and transmission infrastructure for distributed energy resources. This will have a positive effect on Indian macroeconomic conditions and tapping of abundant indigenous renewable resources prevents revenue outflows for expensive alternate fuels. The integration of DG into low and medium voltage networks will have profound impact on the distribution system. Extensive study on the scheduling, financing, governance and operational aspects, governance and institutional mechanism formulating regulations for DER deployment, ecological and social aspects need to be done before finalizing the capacity and placement of Distributed Generation (DG). The existing distribution network should be planned, developed and operated in an optimal manner to accommodate the growth in penetration of DERs. The impact of DG placement and sizing on real and reactive power loss in the radial distribution network considering renewable energy technologies based smart grid is analysed in this paper. A smart DG deployment strategy for effective energy utilisation is proposed considering DER placement in smart grid.

  • Location-aware Power Adaptation Scheme for UAV Communications

    In this paper, we propose an optimal power allocation scheme for multiple unmanned aerial vehicles (UAVs) communications that maximizes the sum rates at the UAVs. The proposed scheme exploits the location information of multiple UAVs and adapts the transmit power based on the UAV distance from the transmitting base station (BS). The location information enables the BS to dynamically adapt the transmit power over the UAVs entire flight time to maximize the average sum rate. The average sum rate and power allocated to the UAVs during the flight time are used as the performance metrics. In addition, the proposed scheme is compared with the fixed power allocation scheme, and the results give useful insight into UAV location-aware communication. The simulation results show that at low transmit power, a sum rate improvement can be achieved when the adaptive power transmission scheme is applied as compared to a fixed transmit power schemes.



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