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Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Memory can be found in all aspects of the semiconductor world. This tutorial will review the volatile memories found in today’s computers and networking equipment, including DRAM, SRAM and TCAM. For each of these memories we will cover bit cell structure, array...
Tremendous interest prevails in developing a convenient and effective wearable medical device for evaluating sleep at home. The current study presents the clinical validation of VitalPatch®, a wireless adhesive patch sensor for screening of sleep architecture compared to the gold standard polysomnograph (PSG). A group of 45 volunteers were attached to a standard 22-channel PSG and a VitalPatch sensor...
Applying rotated and cyclic Q delayed (RCQD) modulation on the transmitter side improves the performance of the receiver in case of fading channel conditions along with erasures. However, the complexity of demapping in the receiver increases significantly to achieve this elevated performance. Many low complexity demapping solutions are available but few are actually implemented in hardware. Recently,...
Long Short-Term Memory Recurrent neural networks (LSTM-RNNs) have been widely used for speech recognition, machine translation, scene analysis, etc. Unfortunately, general-purpose processors like CPUs and GPGPUs can not implement LSTM-RNNs efficiently due to the recurrent nature of LSTM-RNNs. FPGA-based accelerators have attracted attention of researchers because of good performance, high energy-efficiency...
This paper focus on the design of Programmable MISR(Multiple Input Signature Register) modules for Logic BIST based Very Large Scale Integration(VLSI) Integrated Circuit(IC) testing. The advancement in VLSI technology have made chip testing more complicated which has lead to the popularity of Logic Built In Self Test(LBIST) compared to Automatic Test Equipment(ATE). Logic BIST allows in-built chip...
Nowadays, Near Field Communication (NFC) technology is being experimented for payment systems to perform purchase transactions without physical contact, without entering a PIN code or a signature. An NFC purchase transaction is mainly executed between a client's payment device (NFC bank card or NFC smartphone) and a merchant's payment device. The latter may be either an NFC point of sale machine for...
A framework to integrate different artificial intelligence and machine learning algorithms is combined with an execution framework to create a powerful cloud computing system development platform. By providing an execution framework and control software that is native to cloud architectures and supports interactivity and time synchronization, the true utility of cloud computing and "big data...
The traditional human controlled network management approaches may not cope with the envisioned virtualized and more dynamic mobile communication paradigm. We propose an autonomic network management and policy execution framework that re-factors the network functionalities by decomposing the network architecture into hierarchical layers. We propose an hybrid self-learning scheme and present an aggregate...
The continuous evolution of the telecommunication network architecture has made their network functions to become more available and utilizable. With SDN/NFV network service providers can program their own network functions on the standard commercial hardware platform. SDN/NFV enable more efficient utilization of resources and better service agility. It supports new network services faster and less...
A major contributing factor to the recent advances in deep neural networks is structural units that let sensory information and gradients to propagate easily. Gating is one such structure that acts as a flow control. Gates are employed in many recent state-of-the-art recurrent models such as LSTM and GRU, and feedforward models such as Residual Nets and Highway Networks. This enables learning in very...
Heterogeneity in constrained networks and gateways is perhaps one of the single greatest challenges facing end-to-end management of devices and networks in the IoT. Today, the Lightweight M2M (LWM2M) protocol, leveraged on open Internet standards, has become a strong contender for REST-based IoT management. However, significant challenges exist for remote gateway management, particularly for proxies...
Smart meters are at high risk to be an attack target or to be used as an attacking means of malicious users because they are placed at the closest location to users in the smart gridbased infrastructure. At present, Korea is proceeding with 'Smart Grid Advanced Metering Infrastructure (AMI) Construction Project', and has selected Device Language Message Specification/ COmpanion Specification for Energy...
Current best local descriptors are learned on a large dataset of matching and non-matching keypoint pairs. However, data of this kind is not always available since detailed keypoint correspondences can be hard to establish. On the other hand, we can often obtain labels for pairs of keypoint bags. For example, keypoint bags extracted from two images of the same object under different views form a matching...
The calculation of the Sum of Absolute Differences (SAD) is one of the most time-consuming operations of the video encoder compatible with the new High Efficiency Video Coding (HEVC) standard. SAD hardware architecture employs an adder tree to accumulate the coefficients from absolute difference between two video blocks. This paper proposes the exploration of the different adder compressors structures...
The need for customer-centric agile integrated environment offered in an on-demand self-service manner challenges the traditional R&E operations support systems. The service provider architecture proposed in this paper aims to satisfy end-user's requirements by providing a coordinated provisioning of virtualized resources through automation. Empowered by the establishment of open collaborative...
In clustering data, there are two popular methods which are usually used: k-Means and Fuzzy C Means (FCM). Clustering process by these two methods, however, are sometimes influenced by the data suitable being used. This may affect the performance, for example: execution time, accuracy level. In order to overcome this problem, especially in a student evaluation system, we propose a feature extraction...
Battlefield environments are evolving and presenting new challenges for the military all around the world. This is pushing the necessity for evolution of military sensor technologies at an unprecedented rate. While military contractors and manufacturers are coming up with newer and improved technologies, the commercial domain is growing at a much faster rate. It is high time that the military introduces...
Future avionics is no longer mere close electronic systems with the requirement changed, while it is pervasively controlled by dozens of frequent information exchange, open architecture and highly automatic systems. And this transformation has driven major advancements of security in avionics which contains computing security and communication security. Our team is focused on the security of next...
Service-oriented systems are often at the core of mission- or business-critical systems, and thus advanced quantitative analysis techniques are needed to assess, from the early development stages, whether or not the system accomplishes the stakeholder requirements and constraints. In this respect, in order to take advantage of the distributed nature of the considered systems, the use of distributed...
This paper presents the reconfigurable floating point design of addition, subtraction, and Multiplication units which are used to design two blocks namely Fused Addition Subtraction (FAS) unit and Fused Dot Product (FDP) unit. The reconfigurable floating point addition and multiplication units are applied in the design of a Discrete Hilbert Transform Computation Unit and the FAS, FDP units are used...
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