9 research outputs found
Solar radiation forecast using hybrid SARIMA and ANN model
No full textSolar Energy have an enormous potential for generating renewable electricity. In the tropics solar energy are abundance all year long but suffer from uncertainty caused by rain and clouds. Accurate prediction of solar radiation can increase the affectivity and productivity of solar energy sources. Monthly average of solar radiation data are obtained from stations in Malaysia. The data are modeled using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, artificial neural network (ANN) model and Hybrid ANN and SARIMA model. The SARIMA model is a reliable tool in forecasting seasonal data, on the other hand the ANN model have been proven to be a good model in forecasting non-linear data. By combining both model a more accurate model can be obtained. Finally the forecasting performance each model is compared by using mean absolute error (MAE), the mean absolute percentage error (MAPE) and root mean square error (RMSE). The result shows that the hybrid model is better in forecasting solar radiation data.</jats:p
A GPU parallelization for grid generation of fuzzy topographic topological mapping
No full textThe fundamental in grid generation for multidimensional geomet-rical shape is to construct its grid form. Techniques for creating the grid forms and the smaller shapes formed is the basis of grid generation [1]. The form it-self will determine the quality of the generation process and well grid-construc-ted to describe numerical evaluation and speed. In this paper, a structured grid for Fuzzy Topographic Topological Mapping (FTTM) is proposed to improve the quality of grid in numerical perspectives. FTTM is a mathematical model to de-tect the neuro-inverse magnetic region for neurological disorder [2]. The detec-tion region is based on 4 vertices of FTTM and homeomorphic to each other [3]. A computable homeomorphism will use to define the vertices and edges compo-nents of FTTM. The edges represent their homeomorphisms. A topology on grid generation of FTTM addresses the fuzzy topographic and mapping algorithm. The mathematical modeling of FTTM performs the grid structure, design the grid-connected and synchronize the grid generation. For large and extended FTTM, mesh refinement coupled with fine granularity is used to generate the grid via multi-component and multi-version parallelization scheme. The detail of the construction and performance of the strategy is elaborated, evaluated and reported in the paper
Extended graph of the fuzzy topographic topological mapping model
Get PDFFuzzy topological topographic mapping (TTTM) is a mathematical model which consists of a set of homeomorphic topological spaces designed to solve the neuro magnetic inverse problem. A sequence of FTTM, TTTMn, is an extension of FTTM that is arranged in a symmetrical form. The special characteristic of TTTM, namely the homeomorphisms between its components, allows the generation of new TTTM. The generated FTTMs can be represented as pseudo graphs. A graph of pseudo degree zero is a special type of graph where each of the FTTM components differs from the one adjacent to it. Previous researchers have investigated and conjectured the number of generated FTTM pseudo degree zero with respect to n number of components and k number of versions. In this paper, the conjecture is proven analytically for the first time using a newly developed grid-based method. Some definitions and properties of the novel grid‐based method are introduced and developed along the way. The developed definitions and properties of the method are then assem-bled to prove the conjecture. The grid‐based technique is simple yet offers some visualization fea-tures of the conjecture
Extended Graph of Fuzzy Topographic Topological Mapping Model: G04(FTTMn4)
No full textFuzzy topological topographic mapping (FTTM) is a mathematical model that consists of a set of homeomorphic topological spaces designed to solve the neuro magnetic inverse problem. The key to the model is its topological structure that can accommodate electrical or magnetic recorded brain signal. A sequence of FTTM, FTTMn, is an extension of FTTM whereby its form can be arranged in a symmetrical form, i.e., polygon. The special characteristic of FTTM, namely, the homeomorphisms between its components, allows the generation of new FTTM. The generated FTTMs can be represented as pseudo graphs. A pseudo-graph consists of vertices that signify the generated FTTM and edges that connect their incidence components. A graph of pseudo degree zero, G0(FTTMnk ), however, is a special type of graph where each of the FTTM components differs from its adjacent. A researcher posted a conjecture on G03(FTTMn3) in 2014, and it was finally proven in 2021 by researchers who used their novel grid-based method. In this paper, the extended G03(FTTMn3), namely, the conjecture on G04(FTTMn4) that was posed in 2018, is narrated and proven using simple mathematical induction
A new age of leadership in academia: Need for change and innovation during COVID-19
Get PDF© The Author(s) 2025.The aim of this study is to explore the role of academic leadership and adaptive leadership on organizational readiness for change. During times of pandemic, adaptive leadership has emerged as a vital leadership discipline along with academic leadership due to uncertainty and sensitivity of situation. In addition, demand of innovative behavior has also increased over the years particularly during Covid-19. The study has been carried out in Higher Education Institutions of Pakistan where the data was collected from deans, directors and head of departments in two phases. Quantitative research strategy was opted for the study. Survey research design was followed to respond objectives of the study. The purpose behind the selection of senior academicians is to draw empirical results from the perspective of all the heads of their relevant departments. The data was collected from seven public sector universities across Pakistan. About 251 responses were found valid. Covariance based SEM was used to analyze the data. Analysis reveals a positive and direct relationship between academic and adaptive leadership and organizational readiness for change and similar results were found by placing innovative behavior as a mediator leading to the acceptance of all developed hypotheses. This study is unique in nature and has implications for leaders in academia in terms of unleashing the potential toward uncertain situation in higher education institutions. Study’s major limitation include less representation of the Pakistan as whole country as it included Punjab province only for data collection.Unfunde
Development of Embedded System for Centralized Insomnia System
Get PDFInsomnia is a common health problem in medical field as well as in psychiatry. The measurement of those factors could be collected by using polysomnography as one of the current standards. However, due to the routine of clinical assessment, the polysomnography is impractical and limited to be used in certain place. The rapid progress of electronic sensors to support IoT in health telemonitoring should provide the real time diagnosis of patient at home too. In this research, the development of centralized insomnia system for recording and analysis of patient with chronic-insomnia data is proposed. The system is composed from multi body sensors that connected to main IOT server. The test has been done for 5 patients and the result has been successfully retrieved in real time
