Abdul Quawi^1,*, Y. Mohamed Shuaib¹, M. Manikandan²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3469-3486, 2023, DOI:10.32604/iasc.2023.035001

Abstract In this work, an Artificial Neural Network (ANN) based technique is suggested for classifying the faults which occur in hybrid power distribution systems. Power, which is generated by the solar and wind energy-based hybrid system, is given to the grid at the Point of Common Coupling (PCC). A boost converter along with perturb and observe (P&O) algorithm is utilized in this system to obtain a constant link voltage. In contrast, the link voltage of the wind energy conversion system (WECS) is retained with the assistance of a Proportional Integral (PI) controller. The grid synchronization is tainted with the assistance of… More >

Noor Zanib¹, Munira Batool¹, Saleem Riaz², Farkhanda Afzal³, Sufian Munawar⁴, Ibtisam Daqqa⁵, Najma Saleem^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1105-1136, 2023, DOI:10.32604/cmes.2022.021676

Abstract This paper presents a comprehensive study that includes the sizing and power flow by series and parallel inverters in a distributed generation system (DGs) that integrates the system of hybrid wind photovoltaic with a unified power quality conditioner (UPQC). In addition to supplying active power to the utility grid, the system of hybrid wind photovoltaic functions as a UPQC, compensating reactive power and suppressing the harmonic load currents. Additionally, the load is supplied with harmonic-free, balanced and regulated output voltages. Since PVWind-UPQC is established on a dual compensation scheme, the series inverter works like a sinusoidal current source, while the… More >

Sue Wang¹, Xintao Luo^1,*, Saleem Riaz², Haider Zaman³, Chaohong Zhou¹, Pengfei Hao¹

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1159-1176, 2023, DOI:10.32604/cmes.2022.021850

Abstract Due to attractive features, including high efficiency, low device stress, and ability to boost voltage, a Vienna rectifier is commonly employed as a battery charger in an electric vehicle (EV). However, the 6k ± 1 harmonics in the acside current of the Vienna rectifier deteriorate the THD of the ac current, thus lowering the power factor. Therefore, the current closed-loop for suppressing 6k ± 1 harmonics is essential to meet the desired total harmonic distortion (THD). Fast repetitive control (FRC) is generally adopted; however, the deviation of power grid frequency causes delay link in the six frequency fast repetitive control… More >

R. Hemalatha^1,*, M. Ramasamy²

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1505-1525, 2023, DOI:10.32604/iasc.2023.026301

Abstract In recent day’s power distribution system is distress from acute power quality issues. In this work, for compensating Power Quality (PQ) disturbances a seven level cascaded H-bridge inverter is implemented in distribution static compensator which protects power quality problems in currents. Distribution Static Compensator (DSTATCOM) aid to enhances power factor and removes total harmonic distortion which is drawn from non-linear load. The D–Q reference theory based hysteresis current controller is employed to generate reference current for compensation of harmonics and reactive power, additionally Probabilistic Neural Network (PNN) classifier is used which easily separates exact harmonics. In the meantime fuzzy logic… More >

Y. Alexander Jeevanantham^1,*, S. Srinath²

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 909-921, 2022, DOI:10.32604/iasc.2022.022907

Abstract A unified power quality conditioner (UPQC) plays a crucial role in the Power quality improvement of a power system. In this paper, a reduced switch multilevel inverter is with artificial neural network, soft computing technique control is proposed for UPQC. This proposed topology is employed for the mitigation of various power quality issues such as voltage sag, voltage swell, power factor, harmonics, and restoration time of voltage compensation. To show the enriched performance of the proposed topology comparative analysis is made with other two topologies of UPQC such as Conventional UPQC and UPQC using cascaded H bridge (CHB) five-level Inverter.… More >

N. Kanagaraj^*

Computer Systems Science and Engineering, Vol.40, No.2, pp. 517-538, 2022, DOI:10.32604/csse.2022.019149

Abstract In this paper, the hybrid photovoltaic-thermoelectric generator (PV-TEG) combined dynamic voltage restorer (DVR) system is proposed for the power quality disturbances compensation in a single-phase distribution system. The stable and precise level of input voltage is essential for the smooth and trouble-free operation of the electrically sensitive loads which are connected at the utility side to avoid system malfunctions. In this context, the hybrid PV-TEG energy module combined DVR system is proposed in this paper. With the support of the hybrid energy module, the DVR will perform the power quality disturbances compensation effectively with needed voltage and /or power. In… More >

Muhammad Hasnain¹, Imran Ghani², Seung Ryul Jeong^3,*, Aitizaz Ali¹

Computer Systems Science and Engineering, Vol.40, No.1, pp. 327-339, 2022, DOI:10.32604/csse.2022.018300

Abstract This paper presents a review of the ensemble learning models proposed for web services classification, selection, and composition. Web service is an evolutionary research area, and ensemble learning has become a hot spot to assess web services’ earlier mentioned aspects. The proposed research aims to review the state of art approaches performed on the interesting web services area. The literature on the research topic is examined using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) as a research method. The study reveals an increasing trend of using ensemble learning in the chosen papers within the last ten years.… More >

Kapil Gupta¹, Sujit Kumar Mishra², Shubhra Gupta³, Saurabh Pandey⁴, Jogeswar Panigrahi^5,*, Shabir Hussain Wani^6,*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1339-1362, 2021, DOI:10.32604/phyton.2021.015239

Abstract Soybean (Glycine max (L.) Merr) is an agro-economic crop growing across the world to cater nutrition for both human and animal feed due to the high oil and protein content in its edible seeds. The genes and QTLs associated with important agronomic traits in this crop have already been identified and validated for soybean cyst nematode (SCN), Phytophthora root and stem rot, Pythium root rot and aphid resistance, seed quality, nutrient values, and also employed for genetic improvement in soybean. In the last decade, micro RNAs (miRNAs) have been considered the effector molecules, so the detection and characterization of novel… More >

Michael V. Di Maria¹, Cindy Barrett¹, Carey Rafferty¹, Kelly Wolfe¹, Sarah L. Kelly¹, Deborah R. Liptzin², Dania Brigham³, Adel Younoszai¹

Congenital Heart Disease, Vol.14, No.4, pp. 590-599, 2019, DOI:10.1111/chd.12769

Abstract Background: Children with single ventricle (SV) heart disease who undergo Fontan operation are at risk for developing multiorgan dysfunction. Although survival has improved, significant comorbidities involving multiple organ systems may develop, requiring evaluation and management by many subspecialists. Using data from an internal survey, we documented high care variability for our Fontan population. We then developed a multidisciplinary clinic, designed and implemented a clinical care pathway to decrease variability of patient assessment.
Methods: After creating a multidisciplinary team and a clinical care pathway, we initiated a multidisciplinary clinic (MDC) where patients could see multiple subspecialists during a single encounter. We… More >

Sarah A. Twichell¹, Corinna J. Rea¹, Patrice Melvin², Andrew J. Capraro¹, Joshua C. Mandel¹, Michael A. Ferguson¹, Daniel J. Nigrin¹, Kenneth D. Mandl¹, Dionne Graham², Justin P. Zachariah³

Congenital Heart Disease, Vol.12, No.4, pp. 484-490, 2017, DOI:10.1111/chd.12469

Abstract Background: Recognition of high blood pressure (BP) in children is poor, partly due to the need to compute age-sex-height referenced percentiles. This study examined the change in abnormal BP recognition before versus after the introduction of an electronic health record (EHR) app designed to calculate BP percentiles with a training lecture.
Methods and results: Clinical data were extracted on all ambulatory, non-urgent encounters for children 3–18 years old seen in primary care, endocrinology, cardiology, or nephrology clinics at an urban, academic hospital in the year before and the year after app introduction. Outpatients with at least 1 BP above the… More >