Sir Winston Churchill often spoke of World War 2 as the “Wizard War”. Both the Allies and Axis powers were in a race to gain the electronic advantage over each other on the battlefield. Many technologies were born during this time – one of them being the ability to decipher coded messages. The devices that were able to achieve this feat were the precursors to the modern computer. In 1946, the US Military developed the ENIAC, or Electronic Numerical Integrator And Computer. Using over 17,000 vacuum tubes, the ENIAC was a few orders of magnitude faster than all previous electro-mechanical computers. The part that excited many scientists, however, was that it was programmable. It was the notion of a programmable computer that would give rise to the idea of artificial intelligence (AI).
As time marched forward, computers became smaller and faster. The invention of the transistor semiconductor gave rise to the microprocessor, which accelerated the development of computer programming. AI began to pick up steam, and pundits began to make grand claims of how computer intelligence would soon surpass our own. Programs like ELIZA and Blocks World fascinated the public and certainly gave the perception that when computers became faster, as they surely would in the future, they would be able to think like humans do.
But it soon became clear that this would not be the case. While these and many other AI programs were good at what they did, neither they, or their algorithms were adaptable. They were ‘smart’ at their particular task, and could even be considered intelligent judging from their behavior, but they had no understanding of the task, and didn’t hold a candle to the intellectual capabilities of even a typical lab rat, let alone a human.
The SRF01 is a popular ultrasonic sensor used primarily for range finding applications. [Jaanus] discovered that they had a few flaws, including not working after being dropped. The faulty ones began to pile up, so he decided to tear one apart and put his engineering skills to use.
The SRF01 is unique in that it only uses a single transducer, unlike the SRF04, which uses two. Using only one transducer presents a problem when measuring very close distances. The transducer emits a pulse of sound and then must listen for the echo. The smaller the distance, the smaller the time interval between the pulse and when the echo returns. There is a fundamental limit to this time as the transducer has to recover from what is known as ringing. [Jaanus] discovered that the SRF01 solves the ringing problem with the use of a PIC24’s ADC and its 500 ksps (kilosamples per second) rate. This allows it to measure very close distances.
Be sure to check out the teardown for more details on how the SRF01 works.
CSL Dualcom, a popular maker of security systems in England, is disputing claims from [Cybergibbons] that their CS2300-R model is riddled with holes. The particular device in question is a communications link that sits in between an alarm system and their monitoring facility. Its job is to allow the two systems to talk to each other via internet, POT lines or cell towers. Needless to say, it has some heavy security features built in to prevent tampering. It appears, however, that the security is not very secure. [Cybergibbons] methodically poked and prodded the bits and bytes of the CS2300-R until it gave up its secrets. It turns out that the encryption it uses is just a few baby steps beyond a basic Caesar Cipher.
A Caesar Cipher just shifts data by a numeric value. The value is the cipher key. For example, the code IBDLBEBZ is encrypted with a Caesar Cipher. It doesn’t take very much to see that a shift of “1” would reveal HACKADAY. This…is not security, and is equivalent to a TSA lock, if that. The CS2300-R takes the Caesar Cipher and modifies it so that the cipher key changes as you move down the data string. [Cybergibbons] was able to figure out how the key changed, which revealed, as he put it – ‘the keys to the kingdom’.
There’s a lot more to the story. Be sure to read his detailed report (pdf) and let us know what you think in the comments below.
We mentioned that CSL Dualcom is disputing the findings. Their response can be read here.
Bringing old things back to life holds a great sense of joy for most people. The never ending pursuit of recapturing our youth leads us down roads we’ve long forgotten. Along the way, we tend to bump into forgotten memories which jostle other forgotten memories which allows us to relive happy times we haven’t thought of in years, sometimes even decades. For some, the roar of a 351 small block sweeps them back to high school and the fast nights of cruising down main street with the FM radio cranked up as high as it would go. For those of us who were born in the 80’s and 90’s, video games can bring back such memories. Who among us can forget our first encounter with Link, the elegant theme music of Final Fantasy or up-up-down-down-left-right-left-right-b-a-select-start?
Advances in processor technology has allowed us to relive our favorite games via emulators – programs that emulate processors of older computers. The games are ‘dumped’ from the ROM chips (where they are stored) into files. These game files can then be loaded into the emulator program, which allows you to play the game as if you were playing it on the original system.
Technology is truly a beautiful thing. It allows us to move forward, allows us to do today that which was not possible yesterday. There are a few cases, however, where this paradigm does not hold true. One of these has to do with the Nintendo Entertainment System and its “Zapper” gun controller. The NES was the most popular game console of its time, and rightfully so. From the minds of Nintendo engineers, programmers and audio experts came some of the best video games ever made. Unfortunately, some of these great games cannot be played on your Raspberry Pi favorite emulator due to the incompatibility of the Zapper gun and modern digital monitors. None of us can forget the fun that Duckhunt brought. The game came as standard issue with all NES systems, so we’ve all played it. But its nostalgia is currently entombed by a technological quirk that has yet to be solved.
From one hacker to another – this can no longer be tolerated. First, we’re going to learn how the Zapper works and why it doesn’t work with digital displays. Then we’re going to fix it.
One can be reasonably certain that when the title of an article includes the phrase “The Nature of Reality”, thought provoking words must surely lie ahead. But when that same title seems to inquire about a gentleman’s socks, coupled with an image of said gentleman’s socks which happen to be mismatched and reflect very loud colors , one might be moved in a direction which suggests the article is not of a serious nature. Perhaps even some sort of parody.
It is my hope that you will be pleasantly surprised with the subtle genius of Irish physicist [John Bell] and his use of socks, washing machines, and a little math to show how we can test one of quantum physic’s most fundamental properties. A property that does indeed reside in the very nature of the reality we are a part of. Few people can say they understand the Bell Inequality down to its most fundamental level. Give me a little of your time, and you will be counted among these few.
This morning I want you to join me in thinking a few paces into the future. This mechanism let’s us discuss some hard questions about automation technology. I’m not talking about thermostats, porch lights, and coffee makers. The things that we really need to think about are the machines that can cause harm. Like self-driving cars. Recently we looked at the ethics behind decisions made by those cars, but this is really just the tip of the iceberg.
A large chunk of technology is driven by military research (the Internet, the space race, bipedal robotics, even autonomous vehicles through the DARPA Grand Challenge). It’s easy to imagine that some of the first sticky ethical questions will come from military autonomy and unfortunate accidents.
At any given moment, several of the US Navy’s Nimitz class aircraft carriers are sailing the world’s oceans. Weighing in at 90 thousand tons, these massive vessels need a lot of power to get moving. One would think this power requires a lot of fuel which would limit their range, but this is not the case. Their range is virtually unlimited, and they only need refueling every 25 years. What kind of technology allows for this? The answer is miniaturized nuclear power plants. Nimitz class carriers have two of them, and they are pretty much identical to the much larger power plants that make electricity. If we can make them small enough for ships, can we make them small enough for other things, like airplanes?