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Full-Text Articles in Computer Engineering
Graphic Method To Simulate Planar Arrays Pattern, Shuchun Zhang, Yongbin Qiu, Jiang Wei, Wei Xin
Graphic Method To Simulate Planar Arrays Pattern, Shuchun Zhang, Yongbin Qiu, Jiang Wei, Wei Xin
Journal of System Simulation
Abstract: Calculating planar arrays pattern is time-consuming in flight simulation whose frame synchronization time is within tens of milliseconds and this would cause removing frames. To resolve this problem, a graphic simulation method was presented to simulate planar arrays' pattern. Based on analyzing ideal patterns' graphic characteristics, a kernel function was constructed whose graphics could reflect all those pattern's characteristics. Then this kernel's graphics being used as a section plane were rotated in the spatial coordinates to match the ideal pattern. The simulation results show that this method can be rapidly calculated and the simulated pattern is highly true to …
Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches, Heidi Nguyen, Aravind Veluchamy, Mamadou Diop, Rashed Iqbal
Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches, Heidi Nguyen, Aravind Veluchamy, Mamadou Diop, Rashed Iqbal
SMU Data Science Review
In this paper, we present a comparative study of text sentiment classification models using term frequency inverse document frequency vectorization in both supervised machine learning and lexicon-based techniques. There have been multiple promising machine learning and lexicon-based techniques, but the relative goodness of each approach on specific types of problems is not well understood. In order to offer researchers comprehensive insights, we compare a total of six algorithms to each other. The three machine learning algorithms are: Logistic Regression (LR), Support Vector Machine (SVM), and Gradient Boosting. The three lexicon-based algorithms are: Valence Aware Dictionary and Sentiment Reasoner (VADER), Pattern, …
A Forensic Email Analysis Tool Using Dynamic Visualization, Johannes Stadlinger, Andreas Dewald
A Forensic Email Analysis Tool Using Dynamic Visualization, Johannes Stadlinger, Andreas Dewald
Journal of Digital Forensics, Security and Law
Communication between people counts to the most important information of today’s business. As a result, in case of forensic investigations in big companies, analysis of communication data in general and especially email, as the still most widely used business communication platform with an immense and still growing volume, is a typical task in digital forensics. One of the challenges is to identify the relevant communication partners and structures in the suspects surrounding as quickly as possible in order to react appropriately and identify further targets of evaluation. Due to the amount of emails in typical inboxes, reading through all the …