Search query: Control Tower Architecture

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abstract: A current sensing analog to digital converter (CADC) targeting biomedical applications is proposed in this paper. The proposed architecture consists of a leaky integrate and fire (LIF) neuron model inspired from neuromorphic circuits along with digital control circuits and error correction circuit to enhance INL/DNL performance. The architecture is tuned for input signal ranging from 1 uA to 64 uA with power supply of 1/1.8 V for digital and analog blocks respectively. The design is implemented in 0.18 um CMOS 1P4M triple well process of Tower Jazz Semiconductor's technology. Total power consumption of the circuit is 1. 95 mW 48.86 mW respectively and achieves FoM of 331.6 71.24 pJ/conversion step for the cases with and without error correction for 6 bits operation.
author_names: Navin Singhal

M Santosh

S C Bose

Abhijit Karmakar
title: Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications
venue: 2020 IEEE 17th India Council International Conference (INDICON)
year: 2020

abstract: We propose a modelling framework using the fuzzy neural algorithm for generating various scenarios for better decision making. The model framework and the architecture responsible for daily decision making enhances information management system in transportation and logistics processes. This application augments the capability of 'Control Tower' as a visualization tool to decision making, finding possibilities, self learning and prevention of unwanted situations.
author_names: Rakesh Verma

Saroj Koul

Gurpreet Singh
title: Intelligent Decision Making: Using Control Tower at a Logistics Company
venue: 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON)
year: 2020

abstract: In a series of recent launch tests, North Korea has been improving the firepower of its missiles that can target South Korea. North Korea's missiles and submarines are capable of threatening targets in South Korea and are likely faster and more covert than the systems previously seen in North Korea. The advanced threats require that ROK Navy should not only detect them earlier than ever but also response quicker than ever. In addition to increasing threats, the number of young man that can be enlisted for military service has been dramatically decreasing. To deal with these difficulty, ROK navy has been making various efforts to acquire a SMART warship having enhanced defense capability with fewer human resources. For quick response time with fewer operators, ROK Navy should improve the efficiency of systems and control tower mounted on the ship by promoting the Ship System Integration. Total Ship Computing Environment (TSCE) is a method of providing single computing environment for all ship systems. Though several years have passed since the first proposal of TSCE, limited information has been provided and domestic research on the TSCE is still in its infancy. In this paper, we apply TSCE with open architecture (OA) to solve the problems that ROK Navy is facing in order to meet the requirements for the SMART ship. We first review the level of Ship System Integration of both domestic and foreign ships. Then, based on analyses of integration demands for SMART warship, we apply real time OA to design architecture for TSCE from functional view and physical view. Simulation result shows that the proposed architecture has faster response time than the response time of the existing architecture and satisfies its design requirements.
author_names: Gang-Soo Park

Byeong-Chun Yoo

Kyeongtaek Kim

Bong-Wan Choi
title: A Methodology for the Ship System Integration with Open Architecture Focusing on the Total Ship Computing Environment based Architecture Building and Validation
year: 2020

abstract: Abstract In this paper we present a study on the mitigation of dynamic responses of a 10 MW monopile offshore wind turbine under coupled wind wave earthquake excitations. We have developed and validated the generic seismic coupled analysis and structural control architecture tool to overcome the limitation of numerical tools when examining the wind wave earthquake coupling effects. We investigated the dynamic responses of a 10 MW monopile offshore wind turbine under different loading combinations and found that the earthquake loading increases the tower top displacement and pile cap moment by 47.6% and 95.1% respectively, compared to the wind wave only condition. It is found that the earthquake induced vibration in the fore aft direction is mitigated by the wind and wave loadings due to the energy dissipated by the aerodynamic and hydrodynamic damping. In addition, the tower responses are dominated by the earthquake excitation. In order to alleviate the tower vibration induced by the earthquake, we implemented the structural control capability within the tool using tuned mass dampers. The tuned mass dampers with appropriately selected design parameters achieve a larger mitigation on the tower top displacement for the earthquake only condition compared to the coupled loading scenario. The reason is that the tuned mass damper is only effective in mitigating tower vibration, and it is not capable of reducing the tower elastic deformation which is the major contribution of the tower displacement for the coupled loading condition. In addition, we have found that a heavier tuned mass damper requires a lower tuned frequency to achieve a larger mitigation. A configuration for the mitigation control of the 10 MW offshore wind turbine is suggested by using a 5% mass ratio of the tuned mass damper.
author_names: Yang Yang

Musa Bashir

Chun Xiang Li

Constantine Michailides

Jin Wang
title: Mitigation of coupled wind wave earthquake responses of a 10 MW fixed bottom offshore wind turbine
year: 2020

abstract: [Introduction] In order to solve the control problem of Tower Concentrated Solar Power. Method Firstly based on the astronomical algorithms for calculating the position of the sun. Secondly, this article studied the main control technology of solar field control system, including system architecture, hardware and software design, feedback measurement program based on image processing. At last, it made an overall design and planning for the whole plant control system, and proposed a signal interface between solar field control system and DCS. Result This article invented a high precision and easy engineering implementation algorithm for heliostats tracking and controlling, which will reduce engineering cost and shorten the construction period. Conclusion The research is structural integrity and easy to be realized, it improves accuracy of heliostats tracking and controlling with a lower cost.
author_names: Tao Qiu

Canling Xu

Wei Wang
title: Research on Control System of Tower Concentrated Solar Power Plant
year: 2020

abstract: Abstract The aim of this work is to deploy an advanced Nonlinear Model Predictive Control (NMPC) approach for reducing the tower fatigue of a wind turbine (WT) tower while guaranteeing efficient energy extraction from the wind. To achieve this, different Artificial Neural Network (ANN) architectures are trained and tested in order to estimate the tower fatigue as a surrogate of the traditional Rainflow Counting (RFC) method. The ANNs receive data stemming from the tower top oscillation velocity and the previous fatigue state to directly estimate the fatigue progression. The results are compared to select the most convenient architecture for control implementation. Once an ANN is selected, an economic tracking NMPC (etNMPC) solution to reduce the fatigue of the WT tower is deployed in real time. The closed loop results are then compared to a baseline controller from a renowned WT simulation tool and a classic etNMPC implementation with indirect fatigue minimisation to demonstrate the improvement achieved with the proposed strategy. Finally, conclusions regarding computational cost and real time deployment capabilities are discussed, as well as future lines of research.
author_names: Julio Luna

Ole Falkenberg

Sebastien Gros

Axel Schild
title: Wind turbine fatigue reduction based on economic tracking NMPC with direct ANN fatigue estimation
year: 2020

abstract: With the increasing importance of data, visibility has reached widespread importance within the logistics industry. Current efforts however focus on granular visibility, taking into consideration a small piece of the pool of available data. Being able to analyze and integrate available data in real time also known as Control Tower, however, remains uncharted territory. This thesis aims to 1) clarify the concept of control tower within the supply chain sector by providing a standardized definition, 2) provide a generalizable reference architecture for the supply chain control tower to assist transition toward it, 3) design a prototype for real time incident data collection and monitoring. The main goal of this research is as follows: To improve by designing a that in order to Conducting stakeholder analysis as well as literature review has helped in designing the reference architecture for the supply chain control tower that covers essential elements. The reference architecture has been validated by applying it to a logistics case. This has formed the basis for the design of the incident handling tool at Emon Group. The tool has been successfully implemented and used. Our tool helps with 1) real time data acquisition, 2) consolidated data storage, 3) real time incident monitoring. Since the data acquisition part has been of an issue prior to our research, a preliminary analysis of available data has been performed to 1) generate insight when possible, 2) detect improvement areas for our prototype. Our prototype has been validated by using expert opinion. The validation has been performed in two phases. First, the MoSCoW model has been filled to understand design requirements prior to the implementation. The final artifact has been assessed based on the MoSCoW requirements and interviews. The contribution of our work to the academic community is in two folds. First, a standard definition for the concept has been provided. Our work clarified the difference among types and elements of control tower which has caused enormous issues previously. Second, a generalizable reference architecture has been provided. The reference architecture elaborates on the common vocabulary and elements necessary for implementation. This work can also be a starting point for practitioners. We have started moving toward implementing the desired components of the architecture. The prototype has been designed to collect data and assist the real time exception detection. Our prototype can be further improved by expanding its coverage to the external processes of collaborative organizations.
author_names: Maryam Azani
title: Supply Chain Control Tower Reference Architecture for Exception Monitoring and Real Time Incident Management
year: 2020

abstract: The topic of solar control in architecture goes back over the relation between the shape and the light, which is a finely architectonic relationship. It is not a purely technical issue. The plastic properties of the architecture are emphasized by the light and the shadow. Le Corbusier's almost unrecognized work is the Tower of Shadows, built at the center of the Chandigarh's capitol as a part of the Fosse de la Consideration. The Tower of Shadows represents the construction of a method. It is a significant reference for the architectural design issues, in particular for the architects evermore called to solve the requests posed by the energy issues of which the solar control has a constitutive role. The contemporary challenges suggest us to get back to the architectural principles that should not be contradicted as Le Corbusier and other main exponents of the twentieth century had theorized. The Tower of Shadows in Chandigarh makes clear the principles and reasons that are at the base of the relationship between architecture and nature, in particular the relation with the sunlight. This construction, even in its elementary skeleton, alludes to an architecture. It is a manifesto.
author_names: Stefano Perego
title: Les conditions de la nature sont retrouvee: The Tower of Shadow in Chandigarh and Other Le Corbusier's Masterpieces
year: 2020

abstract: The work describes the use of VPL to optimize fundamental natural frequency of structures based on the example of steel lattice towers. For this purpose, a universal programming tool in Python using FEM was created, which allows the optimization of any bar structure in terms of its natural frequency. The capabilities of the tool are illustrated in several examples. It has been shown that by changing the tower geometry it is possible to obtain its higher spatial rigidity with a small increase in mass, it is possible to control the frequencies and forms of natural vibrations. Finally, the possibilities of further development of VPL applications in optimization of fundamental natural frequency of constructions and generative architecture were discussed.
author_names: Artur Wirowski
title: Optimization of Fundamental Natural Frequency of Structures Using VPL on the Example of Truss Towers
year: 2020

abstract: OBJECTIVE Designed to measure a diversity of executive functioning (EF) through classical neuropsychological tests, the Delis Kaplan Executive Function Scale (D KEFS) allows for the investigation of the neural architecture of EF. We examined how the D KEFS Tower, Verbal Fluency, Design Fluency, Color Word Interference, and Trail Making Test tasks related to frontal lobe volumes, quantifying the regional specificity of EF components. METHOD Adults from the Nathan Kline Institute Rockland Sample (NKI RS) an open access community study of brain development, with complete MRI (3T scanner) and D KEFS data were selected for analysis (N 478; ages 20 85) In a mixed effects model predicting volume, D KEFS task, D KEFS score, region of interest (ROI; 13 frontal, 1 occipital control) were entered as fixed effects with intercepts for participants as random effects. RESULTS "Unitary" EF (aggregate of D KEFS scores) was positively associated with superior frontal, rostral middle frontal, and lateral orbitofrontal volumes; a negative association was observed with frontal pole volume z score slope range 0.040 to 0.051) "Diverse" EF skills (individual D KEFS task scores) were differentially associated with two or three ROIs, respectively, but to a stronger extent z score slope range 0.053 to 0.103) CONCLUSIONS The neural correlates found for the D KEFS support the prefrontal modularity of both unitary (aspects of EF ability common to all tasks) and diverse EF. Our findings contribute to emerging evidence that aggregate measurements of EF may serve broader but less robust frontal neural correlates than distinct EF skills. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
author_names: Ryan A Mace

Abigail B Waters

Kayle S Sawyer

Taylor Turrisi

David A Gansler
title: Components of executive function model regional prefrontal volumes.
venue: Neuropsychology
year: 2019