85. Assuming P≠NP, which one of the following is true ？
(A) NP-complete = NP
(B) NP-complete
(C) NP-hard = NP
(D) P = NP-complete

81. Which of the following is not an NP-complete problem？ (A) Traveling salesman problem (B) Dominating set problem (C) Subgraph isomorphism problem (D) Discrete logarithm problem

82. What is the meanings of the flowchart symbol, , defined by American National Standard Institute (ANSI)？ (A) Predefined process (B) Multiple Document (C) Decision (D) Start/End

83. RSA trapdoor pseudo random permutation is the most famous tool used in public key cryptography. Now let\'s see if you know how to derive the trapdoor. Given P=43,q=59, we have n=pq=2537. Let e=13. Please find the trapdoor d that ∀M∈Zn,Med≡M mod n. (A) 257 (B) 419 (C) 843 (D) 937

84. How many operations can be defined if a control bus has eight wires？ (A) 8 (B) 16 (C) 256 (D) 512

86. A Turing machine is a mathematical model of computation that defines an abstract machine. Which of the following statement is wrong about the Turing machine？ (A)Turing machine uses random-access memory. (B)In the Turing machine model, it assumes that there is unlimited memory. (C)Even there are more than one tapes in the Turing machine, it still has the same ability with the original version. (D)In the Turing machine, there is a head that can read and write symbols on the tape and move the tape left and right one cell at a time.

87. Which one is the lossy compression methods in data compression？ (A) Run-length encoding (B) Joint photographic experts group (JPEG) (C) Huffman encoding (D) Lempel Ziv (LZ) encoding

88. Let f(n)= f(n-1)+(n-1) , where n ≥ 2 , and let f(1) =0 . Then (A)f(n)=n2-2n+1 (B)f(n)=n2-n (C) (D)

89. When taking pictures in reduced lighting (i.e., low illumination), image noise becomes apparent. One simple way to reduce this granular noise is to take several identical pictures and                  them. (A) XOR (logic operation) (B) average (arithmetic operation) (C) OR (logic operation) (D) AND (logic operation)

90. Which classification (or clustering) method in machine learning field is an unsupervised learning method？ (A) k-means clustering algorithm (B) convolutional neural network (C) Naive Bayes classifier (D) support vector machines

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