Skip to main content

Developing Lexical Resource for Engineering Applications [Useful Vocabulary for Engineers with Examples]

Face it. In delineating technical details of a particular situation or just venting out emotions of jubilation or frustration, effective expression won't be realized without a vast lexical resource under your belt. Ergo, this post aims to address any may-hap weakness or fallibility of the reader in this area. Hopefully, he/she could pick up an unfamiliar word or two below.





1.) Wanton

(adj.) could mean lewd or bawdy; merciless or inhumane; being without check or limitation

Examples: 

"While waiting for the Analog FastSpice Simulation to finish, Bob seethed some scrumptious Wanton noodles on scalding-hot water."

"They happened on pirated floating licenses from Cadence online, so now they all wanton."

"Accidentally opening the feedback loop, the VCO was driven to wanton oscillation."



2.) Servile

(adj.) meanly or cravenly submissive

Examples:

"She managed to turn all her stubborn male employees servile after snapping the soldering iron in half with her bare hands....   the LED power indicator illuminating."


3.) Sycophant

(noun) a servile self-seeking flatterer

Examples:

"The sycophant stabbed his colleague menacingly with a soldering iron."

"The wanton sycophant stabbed her colleague menacingly with an oscilloscope probe."

"The psychopath sycophant stabbed his colleague menacingly with his magic wand."

"The sycophant got a prodigious raise from  her boss."


4.) Repudiate

(verb) refuse to accept

Examples:

"The stud repudiated a date with a Victoria's Secret model for a paradisaical night of OCEAN scripting."

"In spite of having salient technical and mathematical skills, she repudiated an engineering career for a demimondaine profession."



5.) Penchant

(noun) a strong and continued inclination; liking

Examples:

"Justin has a penchant for irking his associates with corny jokes."

"Ground-breaking research shows women of all nationalities have a penchant for salivating over the author of Schematic Analysis."




6.) Obtuse

(adj.) lacking sharpness or quickness of sensibility or intellect

Examples:

"There is no room for obtuse engineers in the industry, only obtuse triangles."




7.) Obsequious

(adj) marked by or exhibiting a fawning attentiveness

Examples:

"I do not know how to pronounce the word 'Obsequious'."



8.) Nadir

(noun) lowest point of something

Examples:

"If the nadir of the bode plot did not cross zero, does it connote a regulator immune to self-oscillation?"



9.) Morose

(adj.) gloomy or sullen

Examples:

"After falling in love with Rose, he wanted morose."

"The D.U.T. plumed the lab's atmosphere with smoke, turning the eager engineer's mood morose."

"Morose is the fate of the designer whose product yields a failed process capability index."



10.) Modicum

(noun) a small portion, a limited quantity

Examples:

"The assembly fell apart in the blink of an eye because the assembler had but a modicum of solder."

"As the maxim goes, 'An engineer only has a modicum of time to engage in penchant pleasures.'."



11.) Lithe

(adj) graceful, flexible, supple; easily bent or flexed

Examples:

"Not much difficulty is involved in wringing lithe copper wires around a magnet."



12.) Jubilant

(adj) extremely joyful

Examples:

"Jubilant expressions were bursting from his face upon learning he won a brand new DPO from Tektronix *ehem*."

"A jubilant engineer always follows after a remarkable achievement or solved enigma."



13.) Fractious

(adj.) tending to be troublesome

Examples:

"Lost specs of fractious solder lead were culpable for the irregular readings on the multimeter."

"The whirring sounds from the transformers were fractious at first, but the employees got used to it by concurrently humming a synchronized beat."




14.) Flabbergasted

(adj.) astounded

Examples:

"The unsuspecting engineer was flabbergasted by the sparks that went flying off the polarized capacitor."

"The way he identified system blocks and components just by looking at the IC layout with the naked eye flabbergasted the audience."

"It is important to be flabbergasted before winter so as to keep the heat in more effectively during hibernation."




15.) Alacrity


(noun) promptness in response; cheerful readiness

Examples:

"Physicists and engineers look forward to breakthroughs in research and development with alacrity."

"Chiming an affirmative response with alacrity and fervor, the engineer was to be wed to his long time A.I. girlfriend Alexa."




To be continued...

Comments

Popular posts from this blog

Calculator Techniques for the Casio FX-991ES and FX-991EX Unraveled

In solving engineering problems, one may not have the luxury of time. Most situations demand immediate results. The price of falling behind schedule is costly and demeaning to one's reputation. Therefore, every bit of precaution must be taken to expedite calculations. The following introduces methods to tackle these problems speedily using a Casio calculator FX-991ES and FX-991EX.


►For algebraic problems where you need to find the exact value of a dependent or independent variable, just use the CALC or [ES] Mode 5 functions or [EX] MENU A functions.


►For definite differentiation and integration problems, simply use the d/dx and integral operators in the COMP mode.


►For models that follow the differential equation: dP/dx=kt and models that follow a geometric function(i.e. A*B^x).

[ES]
-Simply go to Mode 3 (STAT) (5)      e^x
-For geometric functions Mode 3 (STAT) 6 A*B^x
-(Why? Because the solution to the D.E. dP/dx=kt is an exponential function e^x.
When we know the boundary con…

What Ifs? Sigmoid Function vs. Error Function in Machine Learning through Logistic Regression

While brushing up on some study materials in Mathematics, a familiar function piqued my interest. It was the error function, the solution to the non-elementary integral exp(-x^2) and whose complement is used in determining the conditional probability of bit error due to noise:






Or quite simply, the probability of error due to noise.




But the real point of interest was the nature of the curve of the function shown below.



Now, why be so interested in such a function? When I compared erf(x) with the sigmoid function commonly used in defining the decision boundary in machine learning algorithms, it returned a steeper slope. Then the thought came to me. What would be the differences of using the error function instead of the sigmoid function? Would the cost improve? Would the training accuracy improve?

And so my curiosity got the better of me and I played around with both of the functions to see what would happen.

Sigmoid vs. Error
First of all, replacing the sigmoid function with the error…

What are all these Nanogenerator stuff, Anyway?

Was there a time when you were introduced to the piezoelectric effect in one of your Physics classes and wondered, “If piezoelectric crystals generate voltage when subjected to vibration, can’t we harness this voltage to power our electronics?” It was a pretty interesting afterthought. What about the voltage developed from the Seebeck effect? There are a lot of naturally occurring temperature gradients in our environment such as the thermal gradient between our body, the engines we use, even our gadgets and ambient temperature. It would feel wasteful to watch all the energy from these potential sources dissipate to the empty void. Apparently, such sources would only yield power just enough for the mobile phone of an ant. But recent developments in materials science as well as improvements in power consumption of modern electronics have aroused interest anew. Thus, in 2006 the first nanogenerator emerged drawing energy through the piezoelectric and semiconductor characteristics of a …