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Artículos de revistas sobre el tema "MPP architecture"

Autor: Grafiati

Publicado: 7 de junio de 2025

Última modificación: 2 de agosto de 2025

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1

Shen, XuBang. "Evolution of MPP SoC architecture techniques." Science in China Series F: Information Sciences 51, no. 6 (2008): 756–64. http://dx.doi.org/10.1007/s11432-008-0058-5.

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2

Kang, Houxiang, Yue Wang, Shasha Peng, et al. "Dissection of the genetic architecture of rice resistance to the blast fungusMagnaporthe oryzae." Molecular Plant Pathology 17, no. 6 (2016): 959–72. http://dx.doi.org/10.1111/mpp.12340.

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3

Zeng, Feng Sheng. "Research and Improvement of Database Storage Method." Applied Mechanics and Materials 608-609 (October 2014): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.641.

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This paper presents a massive data storage and parallel processing method based on MPP architecture, and put forward full persistent data storage way from the client to request, and the integration the idea of Map/Reduce, the system will be distributed to each data node, the data has high scalability, high availability, high concurrency. And the simulation test and verifies the feasibility of mass data storage mode by building a distributed data node.

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4

Stewart, Ethan l., Daniel Croll, Mark H. Lendenmann, et al. "Quantitative trait locus mapping reveals complex genetic architecture of quantitative virulence in the wheat pathogen Zymoseptoria tritici." Molecular Plant Pathology 19, no. 1 (2017): 201–16. http://dx.doi.org/10.1111/mpp.12515.

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5

Zakki, M. I. M., M. N. M. Hussain, I. R. Ibrahim, N. A. Ismail, and M. N. Ibrahim. "Distributed Fast Maximum Power Point Tracking Technique for Mismatched Module Application." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 2 (2017): 225. http://dx.doi.org/10.11591/ijeecs.v6.i2.pp225-232.

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<p>This paper propose distributed fast maximum power point tracking (DFMPPT) technique to achieve maximum power point tracking (MPPT). This paper implements the algorithm in distributed MPPT (DMPPT) architecture for mismatched condition with single module, and string connection. The MPPT method uses indirect and direct MPPT method by fractional open-circuit voltage (FOCV) with incremental conductance (INC) for high-speed maximum energy harvesting. This method is proven to be fast for tracking maximum power point (MPP) which achieves the peak power less in 1.7ms via for a single module wi

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6

Guan, Tut San, Talib Alukaidey, and Silvano P. V. Barros. "An MPP reconfigurable architecture using free-space optical interconnects and Petri net configuring." Journal of Systems Architecture 43, no. 6-7 (1997): 391–402. http://dx.doi.org/10.1016/s1383-7621(96)00053-7.

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7

Gunawan, Iwan Prasetiyo, Brian Yuliarto, Azma Putra, and Irianto. "Investigation on Minute Holes of Woven Fabrics for Wide-Band Micro-Perforated Sound Absorbers." Buildings 13, no. 3 (2023): 663. http://dx.doi.org/10.3390/buildings13030663.

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Woven fabric perforation is helpful to be adopted to meet the microstructure requirement of a micro-perforated panel (MPP) absorber. Unlike conventional MPP, the woven fabric micro-perforations are formed by yarn in the x (weft) and y (warp)-directions. Hence, minute holes of the MPP with a diameter of 0.1–0.3 mm or a high perforation ratio are expected to be easily fabricated, while such a specification is difficult to realize on a solid surface, as found in some studies. The study presented here focuses on the use of minute holes in MPP absorbers by woven fabrics and discusses the minute hol

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8

Krishnan, S., and K. Sathiyasekar. "A Novel Salp Swarm Optimization MPP Tracking Algorithm for the Solar Photovoltaic Systems under Partial Shading Conditions." Journal of Circuits, Systems and Computers 29, no. 01 (2019): 2050017. http://dx.doi.org/10.1142/s0218126620500176.

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To extract the maximum solar power from the photovoltaic (PV) panel/array with the high conversion efficiency under partial shading condition (PSC), this paper discusses a new and an efficient maximum power point (MPP) tracking algorithm. The proposed algorithm is based on the bio-inspired salp swarm optimization (SSO), and the algorithm forecasts the global MPP (GMPP) with the fast convergence to GMPP and high tracking efficiency. The SSO algorithm thus reduces the computational burden as encountered in whale optimization algorithm (WOA), and gray wolf optimization (GWO) algorithm discussed i

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9

Gañán-Gómez, Irene, Ana Alfonso, Yamini Ogoti, et al. "Hematopoietic Architecture of MDS before and after Progression Reveals Two Biologically Distinct Disease Subtypes." Blood 128, no. 22 (2016): 4310. http://dx.doi.org/10.1182/blood.v128.22.4310.4310.

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Abstract Myelodysplastic syndromes (MDS) are clinically heterogeneous hematological malignancies with a propensity to evolve to acute myeloid leukemia. Recent studies have suggested that the different MDS risk subgroups are characterized by distinct hematopoietic architectures [Will 2012; Pang 2013], but the contribution of the specific hematopoietic stem cell (HSC) compartments to the aberrant differentiation responsible for the MDS phenotype and their role in disease progression are not fully understood. Although it is known that the cells that maintain the disease in the low-risk (LR) subgr

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10

Venkata Mahesh, P., S. Meyyappan, and RamaKoteswaraRao Alla. "Support Vector Regression Machine Learning based Maximum Power Point Tracking for Solar Photovoltaic systems." International journal of electrical and computer engineering systems 14, no. 1 (2023): 100–108. http://dx.doi.org/10.32985/ijeces.14.1.11.

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Photovoltaic panels use the sun’s radiation on their surface to convert solar energy into electricity. This process is dependent on the temperature of the surface and the intensity of the sun's radiation. To escalate the energy transformation, the solar system must be functioned at its maximum power point (MPP). Every maximum power point tracking (MPPT) technique has a distinct mechanism for tracking maximum power point (MPP). The support vector machine (SVM) regression algorithm is used in this work to develop a novel method for tracking the MPP of a PV panel. The solar panel technical parame

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11

Kim, Jeong Heon, Sang Don Byeon, Hyun-Sun Mo, and Kyeong-Sik Min. "Reconfigurable Charge Pump Circuit with Variable Pumping Frequency Scheme for Harvesting Solar Energy under Various Sunlight Intensities." International Journal of Photoenergy 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/437641.

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We propose variable pumping frequency (VPF) scheme which is merged with the previous reconfigurable charge pump (RCP) circuit that can change its architecture according to a given sunlight condition. Here, merging the VPF scheme with the architecture reconfiguration can improve percentage output currents better by 21.4% and 22.4% than RCP circuit with the fixed pumping frequencies of 7 MHz and 15 MHz, respectively. Comparing the VPF scheme with real maximum power points (MPP), the VPF can deliver 91.9% of the maximum amount of output current to the load on average. In terms of the power and ar

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12

Yang, Yutai, Weizhe Sun, and Guoshao Su. "A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability Analysis." Buildings 12, no. 6 (2022): 855. http://dx.doi.org/10.3390/buildings12060855.

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Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex structures, this paper proposes a support-vector-machine- (SVM) based grasshopper optimization algorithm (GOA) for structural reliability analysis. With this method, the reliability problem is transformed into an optimization problem. On the basis of using the finite element method (FEM) to generate a small number of samples, the SVM model is used to construct a surrogate model of the performance function, and an explicit expression of

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13

M. Aaref, Ashty, S. F. Mohammed, Abbas B. NOORI, and Ali M. Humada. "A Hybrid (ACO-PSO) Algorithm Based on Maximum Power Point Tracking and its Performance Improvement within Shadow Conditions." International Journal of Engineering & Technology 7, no. 4.37 (2018): 43. http://dx.doi.org/10.14419/ijet.v7i4.37.23613.

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In this study, a hybrid Ant Colony Optimization-Particle Swarm Optimization (ACO-PSO) algorithm was proposed to optimally determine the maximum power point tracking (MPPT) parameters. The main goal of current study is to improve the overall performance of the MPPT system.The efforts of oscillation filtering and noise suppression were taken in this design, as well as the time response and the settling time. The proposed method is employed to track the global MPP under different shadow conditions, based on three different irradiation levels to test the ability and accuracy of the proposed method

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14

Fekik, Arezki, Ahamad Taher Azar, Ibrahim A. Hameed, et al. "Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters." Electronics 12, no. 10 (2023): 2283. http://dx.doi.org/10.3390/electronics12102283.

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Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used to extract the maximum power produced by a PV field coupled to a multicell series converter, is one such promising methodology. The OSGM uses the power function’s first and second derivatives to find the optimal voltage (Vpv) and converge to the voltage (Vref) that secures the MPP. The mathematical model was developed in Matlab/Simulink, and the MPPT algorithm’s performance was

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15

Sankar, Rangasamy, Durairaj Chandrakala, Rengaraj Hema, and Dakshnamurthy Padmapriya. "Performance improvement in photovoltaic-grid system using genetic algorithm." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1327. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1327-1336.

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<p>In recent, photov oltaic (PV) power generation has increased in importance. The growing significance of PV power production has generated the demand for enhancing energy efficiency via continuous operation at the maximum power point (MPP). To enable effective MPP trac king, the suggested system integrates a proportional - integral (PI) controller with the p erturb and observe (P&amp;O) technique. In order to improve performance in a PV grid system, this work provides a unique method using a proportional - integral - derivative (PI D) controller optimized using a genetic algorithm

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16

Monien, Burkhard, Ralf Diekmann, and Reinhard Lüling. "The Construction of Large Scale Reconfigurable Parallel Computing Systems (The Architecture of the SC320)." International Journal of Foundations of Computer Science 08, no. 03 (1997): 347–61. http://dx.doi.org/10.1142/s0129054197000227.

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Reconfigurable communication networks for massively parallel multiprocessor systems offer the possibility to realize a number of application demands like special communication patterns or real-time requirements. This paper presents the design principle of a reconfigurable network which is able to realize any graph of maximal degree four. The architecture is based on a special multistage Clos network, constructed out of a number of static routing switches of equal size. Upper bounds on the cut size of 4-regular graphs, if split into a number of clusters, allow minimizing the number of switches

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17

Masmoudi, Ramadhan, Ikhlas Boulhares, and Ammar Necaibia. "A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 21. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp21-29.

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To exploit the maximum power generated by the photovoltaic (PV) panel, it is necessary to use the maximum power point tracking (MPPT) controller. The main concern of MPPT algorithms is how to reach the maximum power point (MPP) quickly with less oscillation. To achieve this objective, this paper studies and compares the performance of different MPPT algorithms with a new proposed criterion of variable step size in terms of convergence speed towards the MPP and reduced oscillations around it. The proposed method utilizes a simple way to build multi-operating zones. In each field, the step size

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18

Chakravarthi, B. N. Ch V., and G. V. Siva Krishna Rao. "A High Gain Novel Double-Boost Converter for DC Microgrid Applications." Journal of Circuits, Systems and Computers 29, no. 15 (2020): 2050246. http://dx.doi.org/10.1142/s0218126620502461.

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In solar photovoltaic (PV)-based DC microgrid systems, the voltage output of the classical DC–DC converter produces very less voltage as a result of poor voltage gain. Therefore, cascaded DC–DC boost converters are mandatory for boosting the voltage to match the DC microgrid voltage. However, the number of devices utilized in the DC–DC conversion stage becomes higher and leads to more losses. Thereby, it affects the system efficiency and increases the complication of the system and cost. In order to overcome this drawback, a novel double-boost DC–DC converter is proposed to meet the voltage in

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19

Szularz, M., J. Weston, and M. Clint. "Explicitly restarted Lanczos algorithms in an MPP environment." Parallel Computing 25, no. 5 (1999): 613–31. http://dx.doi.org/10.1016/s0167-8191(99)00005-8.

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20

Lee, Yu-Lin, Chang-Hua Lin, and Hwa-Dong Liu. "A Novel MPPT Heating Control Strategy Applied to the Induction Heating System." Processes 10, no. 6 (2022): 1151. http://dx.doi.org/10.3390/pr10061151.

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This study proposes an induction heating system with maximum power-point tracking (MPPT) control strategy. The system architecture adopts a 1.3 kW full-bridge series resonant circuit with a step-down transformer and adjusts the operating frequency by a microcontroller unit to improve the heating efficiency. Secondly, the proposed MPPT control strategy based on induction heating uses the relationship between the operating frequency and the system heating temperature to find the operating frequency corresponding to the maximum power point (MPP) quickly. Then, an additional hill-climbing algorith

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21

Radac, Mircea-Bogdan, Valentin-Dan Muller, and Samuel Ciucuriță. "Control of High-Power Slip Ring Induction Generator Wind Turbines at Variable Wind Speeds in Optimal and Reliable Modes." Algorithms 18, no. 3 (2025): 162. https://doi.org/10.3390/a18030162.

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This work analyzes high-power wind turbines (WTs) from the Oravita region, Romania. These WTs are based on slip ring induction generator with wound rotor and we propose a modified architecture with two power converters on both the stator and on the rotor, functioning at variable wind speeds spanning a large interval. Investigations developed around a realistic WT model with doubly fed induction generator show how WT control enables variable wind speed operations at optimal mechanical angular speed (MAS), guaranteeing maximal power point (MPP), but only up to a critical wind speed value, after

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22

Malfetti, Paolo. "Application of OpenMP to Weather, Wave and Ocean Codes." Scientific Programming 9, no. 2-3 (2001): 99–107. http://dx.doi.org/10.1155/2001/717549.

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Weather forecast limited area models, wave models and ocean models run commonly on vector machines or on MPP systems. Recently shared memory multiprocessor systems with ccNUMA architecture (SMP-ccNUMA) have been shown to deliver very good performances on many applications. It is important to know that the SMP-ccNUMA systems perform and scale well even for the above mentioned models and that a relatively simple effort is needed to parallelize the codes on these systems due to the availability of OpenMP as standard shared memory paradigm. This paper will deal with the implementation on a SGI Ori

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23

A. Khalaf, Taha, Khalid Alshahrani, Obaid Alsubaie, Anas Aljohani, Waleed AlAnzi, and Mahmoud Aref. "Smart fuzzy logic control of photovoltaic system: case study Kingdom of Saudi Arabia." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1412. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1412-1422.

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Robust controls of photovoltaic (PV) system applications that include modular multilevel inverter (MMI) for interfacing stand-alone and gridconnected operating modes are investigated in this paper to overcome interfacing problems of two-level and three-level inverters. The MMI provides high-quality voltage, current, and power signals without additional filters, which reduces complexity and cost of interface circuits. A new control method of active and reactive power has been introduced for PV systems to get maximum power point (MPP) in various climatic circumstances. The steady-state and dynam

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24

Глинский, Б. М., В. И. Костин, Н. В. Кучин, С. А. Соловьев, and В. А. Чеверда. "Aspects of parallel computing to solve Helmholtz equation by a direct solver with low-rank approximation and the HSS format of data storage." Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), no. 4 (December 18, 2015): 607–16. http://dx.doi.org/10.26089/nummet.v16r457.

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Предложен алгоритм решения систем линейных алгебраических уравнений (СЛАУ), основанный на методе исключении Гаусса и предназначенный для решения уравнения Гельмгольца в трехмерных неоднородных средах. Для решения СЛАУ, возникающих в геофизических приложениях, разработана параллельная версия алгоритма, направленная на использование гетерогенных высокопроизводительных вычислительных систем, содержащих узлы с MPP- и SMP-архитектурой. Малоранговая аппроксимация, HSS-формат и динамическое распределение промежуточных результатов среди кластерных узлов позволяют решать задачи в разы большие, чем при

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25

Armstrong, Richard N., Mariana Benicio, Houtan Moshiri, et al. "Erythropoiesis Failure in Diamond-Blackfan Anemia Starts at the Oligopotent Common Myeloid and Megakaryocyte-Erythroid Progenitor Stage." Blood 136, Supplement 1 (2020): 37. http://dx.doi.org/10.1182/blood-2020-143103.

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Diamond-Blackfan anemia (DBA) is a hereditary bone marrow failure disorder that is characterized by erythropoiesis failure and chronic anemia and is frequently associated with physical malformations. Considered a ribosomopathy, most patients harbor pathogenic mutations in one of at least 22 large or small ribosomal protein genes in an autosomal dominant manner, however rarer cases involving mutations in GATA1, TSR2 and EPO have also been described. A recent study of the architecture of the human hematopoietic hierarchy throughout development (Notta et al, Science 2016) showed that, after birth

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26

Chen, Hongzhi, Changji Li, Chenguang Zheng, et al. "G-tran." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2545–58. http://dx.doi.org/10.14778/3551793.3551813.

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Graph transaction processing poses unique challenges such as random data access due to the irregularity of graph structures, low throughput and high abort rate due to the relatively large read/write sets in graph transactions. To address these challenges, we present G-Tran, a remote direct memory access (RDMA)-enabled distributed in-memory graph database with serializable and snapshot isolation support. First, we propose a graph-native data store to achieve good data locality and fast data access for transactional updates and queries. Second, G-Tran adopts a fully decentralized architecture th

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27

Thom Hoang, Thi, and Thi Huong Le. "Development of deep reinforcement learning for maximum power point tracking of photovoltaic systems." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 707. http://dx.doi.org/10.11591/ijeecs.v33.i2.pp707-714.

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<span>The use of renewable energy systems, specifically photovoltaic (PV) systems (PVs) that convert solar energy into electricity, has become a popular solution to address global environmental concerns by reducing the utilization of non-renewable energy sources, which contribute to pollution. Efforts to increase the power transfer effectiveness of PV systems include the advancement of controllers for maximizing power point tracking (MPPT). These controllers guarantee optimal system operation at the maximum power point (MPP) in diverse environmental conditions. Th</span><span la

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28

Kornauth, Christoph, Valerio Lupperger, Sven Maschek, et al. "Automated Cytomorphological Analysis of Bone Marrow Samples: A Proof-of-Principle Study for AI-Based Classification on a Real-Life Data Set of 979 Unselected Cases." Blood 142, Supplement 1 (2023): 2284. http://dx.doi.org/10.1182/blood-2023-188716.

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BACKGROUND: Cytomorphological analysis of bone marrow (BM) samples is a cornerstone of hematological diagnostics. It requires microscopical cell counting by a human specialist, resulting in a differential cell count and a morphological description/diagnosis. The process is susceptible to interobserver variability and may be limited by the areas examined. AIM: Clinical implementation of AI-based recognition of pathological patterns in BM smears to support cytomorphological diagnostics. METHODS: We evaluated unselected BM samples over a three-week period (n= 979), including cases with various he

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29

He, Chao, and Ruyan Wang. "A QoE-Aware Energy Supply Scheme over a FiWi Access Network in the 5G Era." Sensors 20, no. 13 (2020): 3794. http://dx.doi.org/10.3390/s20133794.

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Integrated fiber-wireless (FiWi) should be regarded as a promising access network architecture in future 5G networks, and beyond; this due to its seamless combination of flexibility, ubiquity, mobility of the wireless mesh network (WMN) frontend with a large capacity, high bandwidth, strong robustness in time, and a wavelength-division multiplexed passive optical network (TWDM-PON) backhaul. However, the key issue in both traditional human-to-human (H2H) traffic and emerging Tactile Internet is the energy conservation network operation. Therefore, a power-saving method should be instrumental i

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30

Karami-Mollaee, Ali, and Oscar Barambones. "Using the Dynamic Sliding Mode Control of a DC-DC Converter to Extract the Maximum Power of a Photovoltaic System Using a Dual Sliding Observer." Electronics 11, no. 16 (2022): 2506. http://dx.doi.org/10.3390/electronics11162506.

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This paper concerns the maximum power extraction of a photovoltaic generator system (PGS). The PGS consists of single photovoltaic (PV) cells. To improve the efficiency of a PGS, it is necessary to work within its maximum power point (MPP). In a PGS, output power is dependent on solar irradiance and the operating temperature and, therefore, MPP would be varied. To address this problem, a converter should be placed after the PGS and a smooth control signal should be used to adjust its duty cycle. The other challenge of a total system, i.e., PGS and converter, is the uncertainty involved. To ove

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31

Chao, Kuei-Hsiang, Bing-Ze Huang, and Jia-Jun Jian. "An Energy Storage System Composed of Photovoltaic Arrays and Batteries with Uniform Charge/Discharge." Energies 15, no. 8 (2022): 2883. http://dx.doi.org/10.3390/en15082883.

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The main purpose of this study was to develop a photovoltaic module array (PVMA) and an energy storage system (ESS) with charging and discharging control for batteries to apply in grid power supply regulation of high proportions of renewable energy. To control the flow of energy at the DC load and charge/discharge the battery uniformly, this work adapted a bidirectional buck–boost soft-switching converter and the maximum power point tracking (MPPT) technique of the photovoltaic module array. First, a boost converter is used with the perturb and observe (P&O) method, so that the photovoltai

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32

Albert, Johny Renoald, Aditi Sharma, B. Rajani, et al. "Investigation on load harmonic reduction through solar-power utilization in intermittent SSFI using particle swarm, genetic, and modified firefly optimization algorithms." Journal of Intelligent & Fuzzy Systems 42, no. 4 (2022): 4117–33. http://dx.doi.org/10.3233/jifs-212559.

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A new Symmetric Solar Fed Inverter (SSFI) proposed with a reduced number of components compared to the classical, modified, conventional type of Multilevel Inverter (MLI). The objective of this architecture is to design fifteen-level SSFI, this circuit uses a single switch with minimizing harmonics, and Modulation Index (MI) values. Power Quality (PQ) is developed by using the optimization algorithms like as Particle Swarm Optimization (PSO), Genetic algorithm (GA), Modified Firefly Algorithm (MFA). It’s determined to generate the gating pulse and finding optimum firing angle values calculate

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33

Khoramian Tusi, Betsabeh, Samuel Wolock, Caleb Weinreb, et al. "Reconstructing Early Erythroid Development In Vivo Using Single-Cell Transcriptomics." Blood 128, no. 22 (2016): 1195. http://dx.doi.org/10.1182/blood.v128.22.1195.1195.

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Abstract Erythroid differentiation may be divided into two broad stages: early development, and terminal differentiation. Early development was first explored using the colony-formation potential of hematopoietic tissue. This approach identified multi-potential progenitors (MPP) and unipotential erythroid progenitors that form 'bursts' (BFUe) and smaller colonies (CFUe). Early erythroid development is followed by erythroid terminal differentiation (ETD), which profoundly remodels erythroblasts into enucleated red cells. The molecular study of ETD was fundamentally transformed with the developm

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34

Hichem, Louki, Merabet Leila, and Omeiri Amar. "The effectiveness of a hybrid MPPT controller based on an artificial neural network and fuzzy logic in low-light conditions." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1453–64. http://dx.doi.org/10.11591/eei.v13i3.6416.

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Technological advancement and economic progress have made power consumption a big issue. Concern is growing as traditional energy sources dwindle. In the future, numerous fossil fuels will be insufficient to satisfy human requirements. This motivates research into the feasibility of using renewable energy sources. Renewable energy sources offer a multitude of advantages, including their cost-effectiveness, lack of environmental impact, and sustainable nature. Sunlight is currently the most prevalent source of energy because it is both free and readily accessible. Consequently, photovoltaic (PV

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35

Hussain, M. N. M., Ahmad Maliki Omar, Intan Rahayu Ibrahim, and Kamarulazhar Daud. "A dsPIC Microcontroller Based System Identification of Positive Output Buck Boost Converter for Module Mismatch Application." Applied Mechanics and Materials 785 (August 2015): 106–10. http://dx.doi.org/10.4028/www.scientific.net/amm.785.106.

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An identification system of multiple-input single-output (MISO) model is developed in controlling dsPIC microcontroller of positive output buck-boost (POBB) converters for module mismatch condition of photovoltaic (PV) system. In particular, the possibility of the scheme is to resolve the mismatch losses from the PV module either during shading or mismatch module occurrences. The MPPT algorithm is simplified by identification approach of indirect incorporated with a simple incremental direct method to form a combined direct and indirect (CoDId) algorithms. Irregular consumption of solar irradi

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Researcher. "DATA WAREHOUSING WITH AMAZON REDSHIFT: REVOLUTIONIZING BIG DATA ANALYTICS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 395–405. https://doi.org/10.5281/zenodo.13270530.

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The article talks about Amazon Redshift, a cutting-edge cloud-based data warehouse that is changing the way big data analytics is done. In it, the architecture, main features, and benefits of Redshift are discussed in detail. Columnar storage, massively parallel processing, and a distributed system design are emphasized. The article discusses how business intelligence, data science, operational analytics, customer analytics, and financial analytics are used in the real world. It also compares and contrasts with other cloud data stores, such as Snowflake and Google BigQuery, pointing out their

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Khalifa, Khaled Ben, Ahmed Ghazi Blaiech, Mehdi Abadi, and Mohamed Hedi Bedoui. "New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization." Journal of Circuits, Systems and Computers 29, no. 01 (2019): 2050002. http://dx.doi.org/10.1142/s0218126620500024.

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In this paper, we present a new generic architectural approach of a Self-Organizing Map (SOM). The proposed architecture, called the Diagonal-SOM (D-SOM), is described as an Hardware–Description-Language as an intellectual property kernel with easily adjustable parameters.The D-SOM architecture is based on a generic formalism that exploits two levels of the nested parallelism of neurons and connections. This solution is therefore considered as a system based on the cooperation of a distributed set of independent computations. The organization and structure of these calculations process an orie

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Hsiao, Michael S. "Genetic Spot Optimization for Peak Power Estimation in Large VLSI Circuits." VLSI Design 15, no. 1 (2002): 407–16. http://dx.doi.org/10.1080/1065514021000012020.

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Estimating peak power involves optimization of the circuit's switching function. The switching of a given gate is not only dependent on the output capacitance of the node, but also heavily dependent on the gate delays in the circuit, since multiple switching events can result from uneven circuit delay paths in the circuit. Genetic spot expansion and optimization are proposed in this paper to estimate tight peak power bounds for large sequential circuits. The optimization spot shifts and expands dynamically based on the maximum power potential (MPP) of the nodes under optimization. Four genetic

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Gnanavel, C., and S. Albert Alexander. "Experimental Validation of an Eleven Level Symmetrical Inverter Using Genetic Algorithm and Queen Bee Assisted Genetic Algorithm for Solar Photovoltaic Applications." Journal of Circuits, Systems and Computers 27, no. 13 (2018): 1850212. http://dx.doi.org/10.1142/s0218126618502122.

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This paper presents an 11-level symmetrical inverter with reduced number of semiconductor switches for the solar photovoltaic (PV) applications. The genetic algorithm (GA) and queen bee assisted genetic algorithm (QBAGA) are performing a major task for the proposed Multilevel Inverter (MLI). The proposed symmetrical MLI topology has reduced number of semiconductor devices compared to the conventional MLI. However, the modulation index threshold related to the drop in the number of inverter output voltage levels is higher than that of the MLI. The objective of this paper is to find the optimal

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Voronova, O. V., and I. V. Il’in. "Adapting TOGAF ADM to the Development and Implementation of Architectural Solutions in FMCG Chain Retailing." Economics and Management, no. 7 (September 15, 2019): 97–107. http://dx.doi.org/10.35854/1998-1627-2019-7-97-107.

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The presented study adapts the TOGAF Architecture Development Method (ADM) to the development and implementation of architectural solutions in FMCG chain retailing.Aim. The study aims to adapt TOGAF ADM to the development and implementation of architectural solutions in FMCG chain retailing.Tasks. The authors formulate a deﬁnition of FMCG chain retailing architecture, determine the detail levels of architectural solutions, develop a basic architecture model, and examine the transition from the basic towards the target architecture. Building an efﬁcient architectural solution for FMCG chain ret

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Zandi, Sasan, Faiyaz Notta, Stephanie Dobson, Hongbing Li, Yigal Dror, and John E. Dick. "Deep Phenotypic Characterization of Primitive Stem and Progenitor Compartments Reveals the Cellular Architecture of Aplastic Anemia." Blood 120, no. 21 (2012): 2370. http://dx.doi.org/10.1182/blood.v120.21.2370.2370.

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Abstract Abstract 2370 Aplastic anemia (AA) encompasses a spectrum of marrow failure disorders that include paroxysmal nocturnal hematuria (PNH), myelodysplastic syndrom (MDS) and acute myeloid leukemia (AML). Despite advances in therapy, approximately a tenth of patients will evolve to severe MDS or AML. A major unresolved question is the nature of the initiating cell that eventually expands during the aplastic phase and gives rise to secondary disease. A critical first step to approach this problem is to characterize the primitive stem and progenitor compartment in AA, taking advantage of th

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Uswarman, Rudi, Khalid Munawar, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, and Md Alamgir Hossain. "Maximum Power Point Tracking in Photovoltaic Systems Based on Global Sliding Mode Control with Adaptive Gain Scheduling." Electronics 12, no. 5 (2023): 1128. http://dx.doi.org/10.3390/electronics12051128.

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Maximum power point tracking (MPPT) controllers have already achieved remarkable efficiencies. For smaller photovoltaic (PV) systems, any improvement will not really be worth mentioning as an achievement. However, for large solar farms, even a fractional improvement will eventually create a significant impact. This paper presents an MPPT control scheme using global sliding mode control (GSMC) with adaptive gain scheduling. In the two-loop controller, the first loop determines the maximum power point (MPP) reference using online calculations, while the GSMC with adaptive gain scheduling in the

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Chitwood, Ken. "‘A Place of Our Own’: Puerto Rican Muslims and Their Architectural Responses as Quadruple Minorities." International Journal of Islamic Architecture 11, no. 2 (2022): 267–92. http://dx.doi.org/10.1386/ijia_00080_1.

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This article adopts a horizontally integrative approach to understanding Islamic architecture in the traditionally excluded geography of Puerto Rico. Puerto Rico is literally and figuratively left off the map of the so-called ‘Muslim world’ and there is very little about its mezquitas (mosques) or the Andalusian legacy in its built environment in the published record of Islamic architectures, sites, and responses. I argue, based on my ethnographic fieldwork undertaken in 2015–17 and 2019–21, that Puerto Rican Muslims counter their multiple marginalizations – identifying as Muslim in the Puerto

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Akšamović, Abdulah, Samim Konjicija, Senad Odžak, Sedin Pašalić, and Selma Grebović. "DC Cabling of Large-Scale Photovoltaic Power Plants." Applied Sciences 12, no. 9 (2022): 4500. http://dx.doi.org/10.3390/app12094500.

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The development of Floating Solar Photovoltaic (FPV) systems is a sign of a promising future in the Renewable Energy field. Numerous solar modules and inverters are mounted on large-scale floating platforms. It is important to design the system so that the inverter operates in its optimum range most of the time. In order to achieve this goal on the DC side, serial and parallel connections of solar modules are used. As a result, the cabling of the PV array architecture is an important issue. Modern electrical installation design requires reducing costs in cabling materials, equipment installati

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Ding, Yanna, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, and Jianxi Gao. "Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 15 (2025): 16289–97. https://doi.org/10.1609/aaai.v39i15.33789.

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Learning curve extrapolation predicts neural network performance from early training epochs and has been applied to accelerate AutoML, facilitating hyperparameter tuning and neural architecture search. However, existing methods typically model the evolution of learning curves in isolation, neglecting the impact of neural network (NN) architectures, which influence the loss landscape and learning trajectories. In this work, we explore whether incorporating neural network architecture improves learning curve modeling and how to effectively integrate this architectural information. Motivated by t

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Kim, Jinsik, and Inwhee Joe. "Chip-Level Defect Analysis with Virtual Bad Wafers Based on Huge Big Data Handling for Semiconductor Production." Electronics 13, no. 11 (2024): 2205. http://dx.doi.org/10.3390/electronics13112205.

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Semiconductors continue to shrink in die size because of benefits like cost savings, lower power consumption, and improved performance. However, this reduction leads to more defects due to increased inter-cell interference. Among the various defect types, customer-found defects are the most costly. Thus, finding the root cause of customer-found defects has become crucial to the quality of semiconductors. Traditional methods involve analyzing the pathways of many low-yield wafers. Yet, because of the extremely limited number of customer-found defects, obtaining significant results is difficult.

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Bhatt, Dulari, Chirag Patel, Hardik Talsania, et al. "CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope." Electronics 10, no. 20 (2021): 2470. http://dx.doi.org/10.3390/electronics10202470.

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Computer vision is becoming an increasingly trendy word in the area of image processing. With the emergence of computer vision applications, there is a significant demand to recognize objects automatically. Deep CNN (convolution neural network) has benefited the computer vision community by producing excellent results in video processing, object recognition, picture classification and segmentation, natural language processing, speech recognition, and many other fields. Furthermore, the introduction of large amounts of data and readily available hardware has opened new avenues for CNN study. Se

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Rout, Kshirod Kumar, Debani Prasad Mishra, Sivkumar Mishra, Gangavaram Teja Rishitha, and Surender Reddy Salkuti. "Application of fuzzy logic technique to track maximum power point in photovoltaic systems." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2022): 101. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp101-109.

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The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power

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Walczak, Marcin, and Leszek Bychto. "Influence of Parasitic Resistances on the Input Resistance of Buck and Boost Converters in Maximum Power Point Tracking (MPPT) Systems." Electronics 10, no. 12 (2021): 1464. http://dx.doi.org/10.3390/electronics10121464.

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DC/DC converters are widely used in photovoltaic (PV) systems to maximize the power drained from solar panels. As the power generated by a PV panel depends on the temperature and irradiance level, a converter needs to constantly modify its input resistance to remain at the maximum power point (MPP). The input resistance of a converter can be described by a simple equation that includes the converter load resistance and the duty cycle of the switching signal. The equation is sufficient for an ideal converter but can lead to incorrect results for a real converter, which naturally features some p

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50

Khadija, Sabri, El Maguiri Ouadia, and Farchi Abdelmajid. "Nonlinear backstepping control of a partially shaded photovoltaic storage system." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2022): 225. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp225-237.

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Many power converter architectures and control approaches, both traditional and unconventional, have been developed, investigated, and adjusted to handle the challenge of tracking the maximum power points of a partially shaded photovoltaic (PV) system, which fluctuates with meteorological conditions (radiation and temperature). A DC-DC converter was used as the power conditioning unit to determine the system’s maximum efficiency. In this research, we focus on developing a nonlinear controller for a DC-DC converter to track the overall maximum power point in a PV storage system under partial sh

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