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This is a case study of the use of graph similarity to correlate the timing models obtained from two electronic design automation (EDA) static timing analysis tools (Altera's Quartus II software versus Synopsys PrimeTime). Timing models are data modelled from the post-layout netlist and parasitics extraction. The field programmable gate array's (FPGA) timing model is used by customers to optimize...
In the development of drugs compounds suitable for human being, many experiments have to be conducted to ensure drugs safe consumption and generally takes almost 10 to 12 years for a particular drugs to enter the market from laboratory. Therefore, the pattern recognition in QSAR is significant for analyzing the data and developing several necessary models, so that only novel drugs candidate will be...
Although various program comprehension models exist, their levels of abstraction and the related terminologies do not fit the programming pedagogy perspective. In this study, we proposed five abstraction levels for novice's program comprehension: statement, block, module, program and domain. The expansion and the terminologies of the proposed abstraction levels are inspired by the application of decomposition...
MARA Junior Science College (MRSM) Lenggong is one of the educational institutes under Majlis Amanah Rakyat (MARA). Based on the current academic performance and selected criteria of 6A's in the Penilaian Menengah Rendah (PMR, now it is known as PT3), rationally there should be no reason for the failure to achieve excellent results in the Sijil Pelajaran Malaysia (SPM). However, every time the results...
Lithium Battery Management System (BMS) requires an accurate model. With the battery model, the status of the battery pack including the SOC, can be predicted. This paper presents the modeling of a 50 Ah lithium-ion battery cell which is used in a smart battery power system. The model has been validated at different SOC values, the experimental tests show that the battery cell model is able to simulate...
Data transformation (normalization) is a method used in data preprocessing to scale the range of values in the data within a uniform scale to improve the quality of the data; as a result, the prediction accuracy is improved. However, some scholars have questioned the efficacy of data normalization, arguing that it can destroy the structure in the original (raw) data. To address these arguments, we...
The Nonlinear Autoregressive Moving Average with eXogenous inputs(NARMAX) approach is briefly introduced. Since its advantage on nonlinear system modeling, this paper focuses on its application for describing the dynamic energetic electron flux(>2MeV)variations at the geostationary orbit. A basic one-step-ahead nonlinear model and a Kalman Filter modified one are built to map the relationship between...
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