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Nano-grain reconfigurable cells have the potential to replace memory-consuming LUT (Look-Up Table). However, the cells offering the highest area improvement are also those offering the lowest flexibility, i.e. not all the Boolean functions are available. Reaching the same flexibility of LUT is mandatory to reuse existing FPGA tool flows, which can be obtained by clustering cells in a matrix-like architecture...
DNA is considered as a good computing device because of the predictability of the double helical structure and the Watson-Crick binding thermodynamics associated with them. DNA circuits can be considered as a possible replacement of silicon transistor based circuits, in implantable medical devices, bio-nanorobots, SMART drugs etc. In this paper, we are proposing a novel five input majority logic gate...
Quantum-dot cellular automata (QCA) is a paradigm for low-power, general-purpose, classical computing beyond the transistor era. In classical QCA, the elementary device is a cell, a system of quantum dots with a few mobile charges occupying some dots. Device switching is achieved by quantum mechanical tunneling between dots, and cells are interconnected locally via the electrostatic field. Logic is...
The feasibility of using commercial CMOS processes for implementing scalable cryogenic control electronics for universal quantum computers is investigated. Using a systems engineering approach, we break the system down into sub-systems and model the individual components down to transistor level. First results for area demand and power consumption indicate that even with a standard CMOS process, it...
The Trustful Space-Time Protocol (TSTP) allows for time synchronization to be performed upon receiving any message from another node in a sensor network, removing the need for explicit synchronization messages. Previous work has shown that TSTP performs well under controlled experimental environments. In this work, we analyze how the quality of synchronization in TSTP is affected when nodes are communicating...
Reliability testing has become extremely important in modern electronics as the soft error rate has been increasing due to technology scaling. The testing must be controllable, generic, done before deployment, cheap, and fast. Even though fault injection is often the most appropriate solution considering these requirements, it is very time-consuming. This work proposes a hybrid fault injection framework...
What would have happened if I did not have any code smell? This is an interesting question that no previous study, to the best of our knowledge, has tried to answer. In this paper, we present a method for implementing a what-if scenario analysis estimating the number of defective files in the absence of smells. Our industrial case study shows that 20% of the total defective files were likely avoidable...
Forthcoming CMOS technology nodes are in principle sufficient for achieving both the quantum information density and the speed that are critical for error-free logical qubits. Using data from the roadmap for semiconductor devices from ITRS and IEDM, we applied the standard CMOS design rules to a universal set of quantum logic gates to control silicon qubits. We consequently obtain a scaling law for...
We present progress on the construction and operation of a room- temperature quantum computer built with trapped atomic ion qubits. Based on the technological underpinnings of atomic clocks that define time, atomic qubits are standards of quantum information because they are all identical. They present a fundamentally scalable approach to quantum computation where interactions can be faithfully replicated...
Lightweight cryptography (LWC) provides cryptographic solutions for resource-constrained devices such as RFID tags, industrial controllers, sensor nodes, and smart cards. LWC based devices have stringent constraints on power consumption and are vulnerable to side-channel attacks such as Differential Power Analysis (DPA). The existing CMOS-based countermeasures for DPA are not suitable for circuits...
Based on state-of-the-art deep reinforcement learning (Deep RL) algorithms, two controllers are proposed to pass a ship through a specified gate. Deep RL is a powerful approach to learn a complex controller which is expected to adapt to different situations of systems. This paper explains how to apply these algorithms to ship steering problem. The simulation results show advantages of these algorithms...
To interact with humans in Human Social Environments (HSEs), robots are expected to possess the ability of situational context perception and behave appropriately. In this paper, we propose two deep learning models, as situational context perception of robot, to learn from observations of human-robot interaction. Based on these models, we endow robot the capability of perceiving human's mentation...
Device, interconnect scaling and interconnection bottleneck are among the major challenges for CMOS scaling. Furhtermore, signal integrity issues like crosstalk-leakage of charge between capacitively coupled nets among neighboring signal lines-is becoming inexorable. We propose to astutely turn this detrimental effect into an advantage by engineering the interference among signal lines. Our proposal...
Using field survey and literature analysis method from 2014-2015, taking Beijing Tianshou cemetery and the Babaoshan peoples cemetery as the research object, we study the characteristics of plant landscape of the cemetery of modern city. The results show: many pine and cypress trees and native plants are planted in the two cemeteries. Integration of Chinese and Western, beautiful scenery and good...
Dense prediction is concerned with predicting a label for each of the input units, such as pixels of an image. Accurate dense prediction for time-varying inputs finds applications in a variety of domains, such as video analysis and medical imaging. Such tasks need to preserve both spatial and temporal structures that are consistent with the inputs. Despite the success of deep learning methods in a...
The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Despite a rich field of proposals, state-of-the-art automated process discovery methods suffer from two recurrent deficiencies when applied to real-life logs: (i) they produce large and spaghetti-like models; and (ii) they produce models that either poorly fit the event log...
In this paper we present the first fully integrated analog LDO (low dropout regulator) for sub-0.5V supply voltages. The LDO can operate from 0.3V-to-1.0V input voltage, and can sustain a load variation of 10mA-to-100mA at 1.0V input and 5mA-to-25mA at 0.3V input. It achieves a peak 99.1% current efficiency for a 100mA load at 0.9V output voltage. In order to realize the gate drive at sub-0.5V supply...
An AES core designed for low-cost and energy-efficient IoT security applications is fabricated in a 65nm CMOS technology. A novel Dual-Rail Flush Logic (DRFL) with switching-independent power profile is used to yield intrinsic resistance against Differential Power Analysis (DPA) attacks with minimum area and energy consumption. Measurement results show that this 0.048mm2 core achieves energy consumption...
The article issue is the enterprise information protection within the internet of things concept. The aim of research is to develop arrangements set to ensure secure enterprise IPv6 network operating. The object of research is the enterprise IPv6 network. The subject of research is modern switching equipment as a tool to ensure network protection. The research task is to prioritize functioning of...
The recent enhancement of sensor devices, such as the Micro-Electro Mechanical Devices (MEMs) used for information collection and dissemination, has led to the emergence of the Internet of Things (IoT). This new paradigm overlaps with many research area such as the Wireless Sensor Networks (WSNs) where sensor nodes are deployed over an area to perform local computations based on information gathered...
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