Hybridization of cognitive computing for food services

Zhang, Xiaobo; Yang, Senbin; Srivastava, Gautam; Chen, Mu-Yen; Cheng, Xiaochun

doi:10.1016/j.asoc.2019.106051

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…We have q 0 = p 0 = 11, q 1 = p 0 p 1 = 11 × 23 = 253, and q 2 = p 0 p 1 p 2 = 16951. Let 10 be the ciphertext ct (1) ∈R q 1 , we can compute its equivalent ciphertext ct (2) = (ct (1) ×p 2 )∈R q 2 = 10 ×67 mod 16951 = 670. To directly verify the correctness of the reduction, we may map ct (2) to ct (1) by multiplying the inverse mapping element rp 1 from R q 2 to R q 1 (p 2 and rp 1 are mutually inversed when mapping elements between R q 1 and R q 2 ).…”

Section: Ciphertext Encodingmentioning

confidence: 99%

“…As a matter of fact, the product of several large primes is far less than the product of many small primes. For example, we know 100 2 2 100 . As a result, the ciphertext evaluation time will decrease significantly.…”

Section: Modifications On Bgv-type Cryptosystemsmentioning

confidence: 99%

“…The Internet of Thing (IoT) systems have been widely used in people's daily life [1,2]. In an IoT system, one can control his/her remote devices [3] to finish expected tasks.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient BGV-type Encryption Scheme for IoT Systems

Yuan

Gao

2020

Applied Sciences

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Internet of Thing (IoT) systems usually have less storage and computing power than desktop systems. This paper proposes an efficient BGV-type homomorphic encryption scheme in order fit for secure computing on IoT system. Our scheme reduces the storage space for switch keys and ciphertext evaluation time comparing with previous BGV-type cryptosystems. Specifically, the switch key in homomorphic computations can be a constant but no longer one for each level. Moreover, the product of two ciphertexts can be at the same sublayer as them and the multiplication operations can be repeated between two sublayers. As a result, the multiplication times will not be limited by L in an L-level circuit and, thus, the ciphertext evaluation time will decrease significantly. We implement the scheme with the C language. The performance test shows that the efficiency of the improved scheme is better than Helib in same configurations.

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Section: Ciphertext Encodingmentioning

confidence: 99%

Section: Modifications On Bgv-type Cryptosystemsmentioning

confidence: 99%

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An Efficient BGV-type Encryption Scheme for IoT Systems

Yuan

Gao

2020

Applied Sciences

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“…The modeling has many applications, such as prediction [1][2][3][4], pattern recognition [5][6][7][8], detection [9][10][11], and classification [12][13][14]. The backpropagation is a supervised algorithm was used in a radial basis mapping (RBM) network for the modeling; the value of the scale parameters was adjusted according to a cost [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm with Radial Basis Mapping Network for the Electricity Consumption Modeling

et al. 2020

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The modified backpropagation algorithm based on the backpropagation with momentum is used for the parameters updating of a radial basis mapping (RBM) network, where it requires of the best hyper-parameters for more precise modeling. Seeking of the best hyper-parameters in a model it is not an easy task. In this article, a genetic algorithm is used to seek of the best hyper-parameters in the modified backpropagation for the parameters updating of a RBM network, and this RBM network is used for more precise electricity consumption modeling in a city. The suggested approach is called genetic algorithm with a RBM network. Additionally, since the genetic algorithm with a RBM network starts from the modified backpropagation, we compare both approaches for the electricity consumption modeling in a city.

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