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English to Japanese: Whitepaper of Deep Learning Product General field: Tech/Engineering Detailed field: IT (Information Technology)
Source text - English WHITE PAPER
Deep Learning Using Synthesized Data for Communications and Radar
This white paper demonstrates how you can use [Product A]® for modulation identification and target classification in radar and communications applications.
You will learn how to:
Synthesize and label radar and communications waveforms
Generate radar returns for moving objects
Train deep networks with synthetic data
Perform waveform modulation ID and target classification using deep learning and machine learning techniques
Test your systems with data collected from software defined radios and radar systems
Three application examples demonstrate possible workflows. The first two examples use deep learning to identify waveform modulation types. The third example uses radar returns to identify objects based on radar cross section (RCS) and motion characteristics. The examples show how you can synthesize communications and radar baseband waveforms and radar reflections off objects using [Module A] and [Module B] and configure, train, and implement learning networks using [Module C] and Statistics and [Module D].
English to Japanese: BI Product General field: Tech/Engineering Detailed field: IT (Information Technology)
Source text - English About this whitepaper
Curating and combining millions of data points has become marketing’s lifeline. Many professionals, regardless of industry, will even say marketing is data because the amount of sources, size of data sets, and number of new channels and technology platforms has exploded. (The 2019 count is more than 7,000, according to [Company A].) An overabundance of consumer and audience touchpoints means more information to collect and consume. But it’s worthless when not analyzed properly; instead of fuel, it’s like kryptonite, difficult to use for meaningful impact.
The reality is that marketing has an understanding problem.
Even when you have all the data in the world, it’s useless when it can’t be interpreted. Instead of fueling marketing activities, organizations and teams struggle to manage and use current technologies because they fall short of providing meaningful and accessible analysis or simply don’t offer the full picture. Combining sources with a flexible and powerful analytics solution helps marketing departments see the bigger picture as they get fast answers to questions and better understand the impact of their work or how to enhance its impact. That’s where marketing analytics dashboards come in. They’re beautiful, useful, and insightful with their ability to tell a compelling story around data, but some practitioners still rely on gut feeling. They’re just not comfortable with using data, they don’t trust the reliability of sources, or they’re simply overwhelmed by what can and should be analyzed.
As a Creator, Explorer, or even Viewer of dashboards, it’s important to understand when they’re the best solution to your analytics needs, what problems they can help solve, and what are the best practices for using them to drive maximum business impact.
I am native Japanese, and a professional Japanese to English translator with a strong background of English education and international business. I graduated Osaka university of foreign studies with bachelor degree in English study. Nearly 10 years I worked for international trading company as IT consultant. And as a professional translator, I am freelancing for 3 years, specialized in international IT field.
With deep understanding of technical terms (e.g. programming, databases, networks, etc.), and with vast knowledge of business field (e.g. manufacturing, finance, trading, etc.), I convey the accurate meaning of original text to the reader.