There are three general classes of cryptographic voting protocols: those based on blind signatures, those based on mix-nets, and using homomorphic encryption. Historically, cryptographic research has focused on proving that the tally is the sum of all the ballots, and that the contents of individual ballots remain secret. Cryptographic voting research considered the voter and the polling booth to be one entity. Voter's final ballot must be secret and she can not prove the contents of her final ballot to anyone. In the other way, voter needs ability to verify that their votes are cast and counted as intended.Survey on kinds of cryptography methods and voterverified in voting systems for better comprehension and different of them are goals of this article. Survey of cryptography variety methods on security of voting, beside of voter-verified helps to find new ways in selecting models. And with these models except of increasing of voting safety assure to voter about system honesty.
The control system of a commercial sprayer was modified for variable-rate control of 12 individual solenoid shut off valves spaced 0.5 m apart on a sprayer boom. The variable-rate control system consisted of pulse width modulation (PWM) solenoids, a by pass control valve, and nozzle control system interfaced to a computer. An algorithm was developed to vary application rate across the booms with computing the best possible combinations of pulse width at the optimal boom through the computer control program for nozzles. This algorithm compensates inaccuracy of applying desired application rate due to pressure fluctuations across the booms.
As the information contained in the web is increasing, organizing this information is a necessary requirement. Classification is a way to organize the web's information. While there is different ways to classify the web information, swarm intelligence is a new one in this field. This paper investigates usage of a swarm intelligence algorithm in the field of the web page classification; Focusing on Persian web pages. Ant Miner II is the used algorithm. It also propose a simple text preprocessing technique to reduce the large numbers of attributes associated with web content mining, without dealing linguistic complications. The result shows Ant Miner II and proposed preprocessing technique are efficiency in the field of the web page classification.
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