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  • 1
    Online Resource
    Online Resource
    Robust digital pole-placer for electric drives based on uncertain diophantine equation and interval mathematics
    SAGE Publications ; 2018
    In:  Transactions of the Institute of Measurement and Control Vol. 40, No. 8 ( 2018-05), p. 2546-2559
    Details
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 40, No. 8 ( 2018-05), p. 2546-2559
    Abstract: In this paper, a novel robust digital controller design is proposed and implemented for induction motor speed control. The objective is to design a robust output feedback controller that places the closed-loop poles in a specified region in order to achieve the desired dynamic performance for a system with variable load. The design is carried out in the frequency domain by solving the uncertain Diophantine equation using interval mathematics and non-linear optimization method. In order to capture the load variations, the characteristic equation is relaxed and enlarged from a fixed-point to an interval set. A simple model-based design methodology is adopted in this work and implemented experimentally using a Hardware-in-the-Loop environment. The proposed design is simulated and then validated using real induction drive system. The proposed controller is compared with two other controllers: the auto tuned PID and a least-square-based robust controller. Experimental results show that the designed robust controller provides a better dynamic response than conventional controllers used in the industry when the motor’s load is varied. These results validate the proposed design as the plant’s output follows the reference signal with minimal overshoot and settling time.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    URL: Article
    DOI: 10.1177/0142331217705589
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Regional pole placement with saturated control for DC-DC buck converter through Hardware-in-the-Loop
    SAGE Publications ; 2016
    In:  Transactions of the Institute of Measurement and Control Vol. 38, No. 9 ( 2016-09), p. 1041-1052
    Details
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 38, No. 9 ( 2016-09), p. 1041-1052
    Abstract: In this paper, the problem of robust stability and tracking of saturated control systems for buck DC-DC converters is considered. Linear Matrix Inequalities (LMIs) are used to insert the constraints in the design phase while imposing positivity in the closed-loop state. The control objective is to design a control law for the converter that limit duty ratio between 0 and 1. This will allow the system to switch between two topologies in the continuous conduction mode (CCM), to achieve a tracking reference condition. This has been developed using uncertain saturated control and regional pole placement techniques. The proposed controller is applied to a real DC-DC buck converter through a Hardware-In-the-Loop (HIL) test system. Experimental and simulation results show the effectiveness and the success of the proposed controller in tracking a reference voltage with limiting the duty ratio between 0 and 1. Results also show that the proposed controller performed better than the conventional one.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    URL: Article
    DOI: 10.1177/0142331215612547
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2025882-3
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  • 3
    Online Resource
    Online Resource
    A variable-resistance digital charge estimator for piezoelectric actuators: An alternative to maximise accuracy and curb voltage drop
    SAGE Publications ; 2019
    In:  Journal of Intelligent Material Systems and Structures Vol. 30, No. 11 ( 2019-07), p. 1699-1705
    Details
    In: Journal of Intelligent Material Systems and Structures, SAGE Publications, Vol. 30, No. 11 ( 2019-07), p. 1699-1705
    Type of Medium: Online Resource
    ISSN: 1045-389X , 1530-8138
    URL: Article
    DOI: 10.1177/1045389X19844011
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2088313-4
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  • 4
    Online Resource
    Online Resource
    A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks
    SAGE Publications ; 2019
    In:  International Journal of Distributed Sensor Networks Vol. 15, No. 6 ( 2019-06), p. 155014771985398-
    Details
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 15, No. 6 ( 2019-06), p. 155014771985398-
    Abstract: A wireless body area network is a collection of Internet of Things–based wearable heterogeneous computing devices primarily used in healthcare monitoring applications. A lot of research is in process to reduce the cost and increase efficiency in medical industry. Low power sensor nodes are often attached to high-risk patients for real-time remote monitoring. These sensors have limited resources such as storage capacity, battery life, computational power, and channel bandwidth. The current work proposes a multi-hop Priority-based Congestion-avoidance Routing Protocol using IoT based heterogeneous sensors for energy efficiency in wireless body area networks. The objective is to devise a routing protocol among sensor nodes such that it has minimum delay and higher throughput for emergency packets using IoT based sensor nodes, optimal energy consumption for longer network lifetime, and efficient scarce resource utilization. In our proposed work, data traffic is categorized into normal and emergency or life-critical data. For normal data traffic, next-hop selection will be selected based upon three parameters; residual energy, congestion on forwarder node, and signal-to-noise ratio of the path between source and forwarder node. We use the data aggregation and filtration technique to reduce the network traffic load and energy consumption. A priority-based routing scheme is also proposed for life-critical data to have less delay and greater throughput in emergency situations. Performance of the proposed protocol is evaluated with two cutting-edge routing techniques iM-SIMPLE and Optimized Cost Effective and Energy Efficient Routing. The proposed model outperforms in terms of network throughput, traffic load, energy consumption, and lifespan.
    Type of Medium: Online Resource
    ISSN: 1550-1477 , 1550-1477
    URL: Article
    DOI: 10.1177/1550147719853980
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2192922-1
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  • 5
    Online Resource
    Online Resource
    Weighted parametric model identification of induction motors with variable loads using FNN structure and NN2TF algorithm
    SAGE Publications ; 2018
    In:  Transactions of the Institute of Measurement and Control Vol. 40, No. 5 ( 2018-03), p. 1645-1658
    Details
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 40, No. 5 ( 2018-03), p. 1645-1658
    Abstract: Induction motors exhibit non-linear behaviour and are difficult to model. Furthermore, load disparities cause speed variations and therefore predicting the motor’s response is challenging. In this paper, feedforward neural networks (FNNs) are used to model induction motors at two load levels (i.e. no-load and full-load). The two FNN models are then transformed into auto-regressive moving-average (ARMA) models using a new NN2TF algorithm. A weighted parametric model is then formulated by combining both ARMA models to provide appropriate transfer functions at different loads ranging from no-load to full-load. In order to validate the developed model, experimental data (with voltage/speed as input/output) is collected from an induction motor plant at five different load levels and used to test the proposed model. Simulation results show that the estimated model produced dynamic responses that follow the experimental data with good accuracy, regardless of the load.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    URL: Article
    DOI: 10.1177/0142331216688249
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    Screening of Pathogenic Missense Single Nucleotide Variants From LHPP Gene Associated With the Hepatocellular Carcinoma: An In silico Approach
    SAGE Publications ; 2022
    In:  Bioinformatics and Biology Insights Vol. 16 ( 2022-01), p. 117793222211155-
    Details
    In: Bioinformatics and Biology Insights, SAGE Publications, Vol. 16 ( 2022-01), p. 117793222211155-
    Abstract: LHPP gene encodes a phospholysine phosphohistidine inorganic pyrophosphate phosphatase, which functions as a tumor-suppressor protein. The tumor suppression by this protein has been confirmed in various cancers, including hepatocellular carcinoma (HCC). LHPP downregulation promotes cell growth and proliferation by modulating the PI3K/AKT signaling pathway. This study identifies potentially deleterious missense single nucleotide variants (SNVs) associated with the LHPP gene using multiple computational tools based on different algorithms. A total of 4 destabilizing mutants are identified as L22P, I212T, G227R, and G236R, from the conserved region of the phosphatase. The 3-dimensional (3D) modeling and structural comparison of variants with the native protein reveals significant structural and conformational variations after mutations, suggesting disruption in the function of phospholysine phosphohistidine inorganic pyrophosphate phosphatase. The identified mutations might, therefore, participate in the cause of HCC.
    Type of Medium: Online Resource
    ISSN: 1177-9322 , 1177-9322
    URL: Article
    DOI: 10.1177/11779322221115547
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2423808-9
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  • 7
    Online Resource
    Online Resource
    Rural Development Through Non-State Actors in Highlands of Pakistan
    SAGE Publications ; 2021
    In:  SAGE Open Vol. 11, No. 2 ( 2021-04), p. 215824402110071-
    Details
    In: SAGE Open, SAGE Publications, Vol. 11, No. 2 ( 2021-04), p. 215824402110071-
    Abstract: We explored the contribution and effectiveness of state and non-state institutions in rural development efforts in highlands (Khyber Pakhtunkhwa [KPK] province) of Pakistan. This study employed mixed-methods research design and data were collected from 300 household heads, randomly selected from six villages from two purposively selected districts Mansehra and Nowshehra. Findings showed people in KPK were deprived of due to conflicts, conspiracies and terrorism, poor governance, small landholdings and subsistence farming followed by sluggish marketing system, insufficient education and training for people, and inadequate employment opportunities. Regarding contribution, non-state institutions had more contribution as compared to state institutions. T-test analysis showed that the non-state institutions had an effective provision of agricultural extension and forestry advisory services, education, health services in remote areas, skill development, and provision of microcredit schemes. The results of F-test statistics showed highly significant difference among the perceived effectiveness of rural development activities of different types of non-state actors (localite, cosmopolite, and religious/faith-based) working in the research area. This study recommends state-owned rural development departments revisit their working mechanism and develop synergistic working relationship with the non-state institutions in discharging rural development efforts.
    Type of Medium: Online Resource
    ISSN: 2158-2440 , 2158-2440
    URL: Article
    DOI: 10.1177/21582440211007126
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2628279-3
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