If you have a recent Dell laptop, the only cure is to find someone to install a new BIOS chip, or have Dell replace the motherboard if it is under warranty. Just went through this with a client who has a 2 year old +- Dell Inspiron 3542, and that is the Gospel from Dell Tech support. No jumpers on the mobo, no magical master password from Dell. Dell removed the jumper from their laptops in 2004, but the encryption has gotten stronger and stronger to the point where it would take the NSA to crack it, because even Dell has a very low success rate. We never got to the point of discussing if those fixes would help if the PW was also set on the hard drive, but I suspect that in that case, you are totally SOL. If you do set either of those passwords, for your own sake do regular backups of your important files to an external drive.
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Meeting with the coroner, Eliot learned that Colosimo was shot in the back of the head, possibly as he was looking out the front door's peephole. Ernie hanged out at the police station with some reporters, but learned nothing. They met at a soda fountain for lunch and traded information. Unfortunately, all they had are half formed theories with no evidence to back them up. They figured that Colosimo was waiting for someone and the killer knew it. If they could figure out who the killer was waiting for, they might be able to crack the case. Indy promised to talk to the waiter who chased the customer away. Ernie continued his digging in the Tribune's morgue. He also writes The New York Times for information.
This paper is concerned with the real time automatic discriminating of flaws from two categories; i. cracks (planar defect) and ii. Non-cracks (volumetric defect such as cluster porosity and slag) using pulse-echo ultrasound. The raw ultrasonic flaws signal were collected from a computerized robotic plane scanning system over the whole of each reflector as the primary source of data. The signal is then filtered and the analysis in both time and frequency domain were executed to obtain the selected feature. The real time feature analysis techniques measured the number of peaks, maximum index, pulse duration, rise time and fall time. The obtained features could be used to distinguish between quantitatively classified flaws by using various tools in artificial intelligence such as neural networks. The proposed algorithm and complete system were implemented in a computer software developed using Microsoft Visual BASIC 6.0 (author) 2ff7e9595c
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