Computer Science and Electrical Engineering Publications (UMKC)
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Items in this collection are the scholarly output of the Department of Computer Science and Electrical Engineering faculty, staff, and students, either alone or as co-authors, and which may or may not have been published in an alternate format.
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Item Design of Ternary Logic and Arithmetic Circuits Using GNRFET(IEEE Open Journal of Nanotechnology, 2020-09-28) Sandhie, Zarin Tasnim; Ahmed, Farid Uddin; Chowdhury, Masud H.Multiple valued logic (MVL) can represent an exponentially higher number of data/information compared to the binary logic for the same number of logic bits. Compared to the conventional and other emerging device technologies, Graphene Nano Ribbon Field Effect Transistor (GNRFET) appears to be very promising for designing MVL logic gates and arithmetic circuits due to some exceptional electrical properties of the GNRFET, e.g., the ability to control the threshold voltage by changing the width of the GNR. Variation of the threshold voltage is one of the prescribed techniques to achieve multiple voltage levels to implement the MVL circuit. This paper introduces a design approach for ternary logic gates and circuits using MOS-type GNRFET. The designs of basic ternary logic gates like inverters, NAND, NOR, and ternary arithmetic circuits like the ternary decoder, 3:1 multiplexer, and ternary half-adder are demonstrated using GNRFET. A comparative analysis of the GNRFET based ternary logic gates and circuits and those based on the conventional CMOS and CNTFET technologies is performed using delay, total power, and power-delay-product (PDP) as the metrics. The simulation and analysis are performed using the H-SPICE tool with a GNRFET model available on the Nanohub website.Item Investigation of Multiple-valued Logic Technologies for Beyond-binary Era(ACM Computing Surveys, 2021-01) Sandhie, Zarin Tasnim; Patel, Jill Arvindbhai; Ahmed, Farid Uddin; Chowdhury, Masud H.Computing technologies are currently based on the binary logic/number system, which is dependent on the simple on and off switching mechanism of the prevailing transistors. With the exponential increase of data processing and storage needs, there is a strong push to move to a higher radix logic/number system that can eradicate or lessen many limitations of the binary system. Anticipated saturation of Moore’s law and the necessity to increase information density and processing speed in the future micro and nanoelectronic circuits and systems provide a strong background and motivation for the beyond-binary logic system. In this review article, different technologies for Multiple-valued-Logic (MVL) devices and the associated prospects and constraints are discussed. The feasibility of the MVL system in real-world applications rests on resolving two major challenges: (i) development of an efficient mathematical approach to implement the MVL logic using available technologies, and (ii) availability of effective synthesis techniques. This review of different technologies for the MVL system is intended to perform a comprehensive investigation of various MVL technologies and a comparative analysis of the feasible approaches to implement MVL devices, especially ternary logic.Item Dynamic capacity planning of wireless networks using user mobility behavior in smart cities(IEEE, 2016-02-08) Oliveira, Pedro Tonhozi de; Beard, Cory; IEEE Smart Cities Workshop (2016 : Kansas City, Mo.)Smart cities are envisioned as the organic integration of systems to provide valuable information for its citizens and service providers. One such example is user mobility behavior information (use of user location data) related to wireless network consumption and demands. In this paper, we propose the use of this data in a novel manner for capacity planning purposes in wireless networks. We approach fifth generation (5G) capacity planning by considering Cloud Radio Access Networks and Software Defined Mobile Networks to improve dynamic resource allocation. Privacy concerns are also addressed.Item An embedded multichannel telemetry unit for bone strain monitoring(2013-10-17) Moiz, Fahad; Kumar, Sharika; Leon-Salas, Walter D. (Walter Daniel); Johnson, MarkAbstract An embedded telemetry unit for bone strain monitoring is presented. The telemetry unit is designed using commercially available components to lower design time and manufacturing costs. The unit can read up to eight strain gauges and measures 2.4 cm × 1.3 cm × 0.7 cm. The unit is powered from a small Li-polymer battery that can be recharged wirelessly through tissue, making it suitable for implanted applications. The average current consumption of the telemetry unit is 1.9 mA while transmitting at a rate of 75 kps and at a sampling rate of 20 Hz. The telemetry unit also features a power-down mode to minimize its power consumption when it is not in use. The telemetry unit operates in the 915-MHz ISM radio band. The unit was tested in an ex vivo setting with an ulna bone from a mouse and in a simulated in vivo setting with a phantom tissue. Bone strain data collected ex vivo shows that the telemetry unit can measure strain with an accuracy comparable to a more expensive benchtop data acquisition system.Item Adaptive multi-target tracking in heterogeneous wireless sensor networks(2011-06) Dhondge, Kaustubh; Choi, Baek-YoungEnergy efficient multiple-target tracking is an important application of Wireless Sensor Networks (WSNs). Most prior studies consider tracking multiple tar- gets as an extension of executing a single target tracking algorithm multiple times, and use a single parameter for energy efficiency. We consider various factors such as mul- tiple targets tracked by the sensor, remaining energy of the sensor and relative location of the sensor with respect to a target's motion, in order to decide the tracking state of a sensor in a distributed environment. Further, we explore and identify the effective combination of these parameters to optimize energy usage, depending on specific network conditions. We then propose the Adaptive Multi-Target Tracking (AMTT) algorithm that can recognize the network condition based on local information without centralized coordination, and uses effective parameters to achieve en- ergy efficiency.