scholarly journals Improving Greenhouse Insulation through Multilayer Thermal Screens Using the Hot Box Method

2019 ◽  
Author(s):  
Helena Vitoshkin ◽  
Avraham Arbel ◽  
Vitaly Haslavsky
Keyword(s):  
Box Method

Table Substitution Box Method for Increasing Security in Interval Splitting Arithmetic Coding

2017 ◽  
Vol 13 (10) ◽  
pp. 6552-6557
Author(s):  
E.Wiselin Kiruba ◽  
Ramar K.
Keyword(s):  
Compression Ratio ◽  
Arithmetic Coding ◽  
Substitution Box ◽  
Plain Text ◽  
T Box ◽  
Novel Approach ◽  
Permutation Methods ◽  
Message Digest ◽  
Box Method ◽  
Arithmetic Coder

Amalgamation of compression and security is indispensable in the field of multimedia applications. A novel approach to enhance security with compression is discussed in this  research paper. In secure arithmetic coder (SAC), security is provided by input and output permutation methods and compression is done by interval splitting arithmetic coding. Permutation in SAC is susceptible to attacks. Encryption issues associated with SAC is dealt in this research method. The aim of this proposed method is to encrypt the data first by Table Substitution Box (T-box) and then to compress by Interval Splitting Arithmetic Coder (ISAC). This method incorporates dynamic T-box in order to provide better security. T-box is a method, constituting elements based on the random output of Pseudo Random Generator (PRNG), which gets the input from Secure Hash Algorithm-256 (SHA-256) message digest. The current scheme is created, based on the key, which is known to the encoder and decoder. Further, T-boxes are created by using the previous message digest as a key.  Existing interval splitting arithmetic coding of SAC is applied for compression of text data. Interval splitting finds a relative position to split the intervals and this in turn brings out compression. The result divulges that permutation replaced by T-box method provides enhanced security than SAC. Data is not revealed when permutation is replaced by T-box method. Security exploration reveals that the data remains secure to cipher text attacks, known plain text attacks and chosen plain text attacks. This approach results in increased security to Interval ISAC. Additionally the compression ratio  is compared by transferring the outcome of T-box  to traditional  arithmetic coding. The comparison proved that there is a minor reduction in compression ratio in ISAC than arithmetic coding. However the security provided by ISAC overcomes the issues of compression ratio in  arithmetic coding. 

scholarly journals Black-Box-Based Mathematical Modelling of Machine Intelligence Measuring

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 681
Author(s):  
László Barna Iantovics
Keyword(s):  
Problem Solving ◽  
Scientific Literature ◽  
Real Life ◽  
Intelligent Agent ◽  
Difficult Problem ◽  
Black Box ◽  
Machine Intelligence ◽  
Agent Based ◽  
Np Hard Problem ◽  
Box Method

Current machine intelligence metrics rely on a different philosophy, hindering their effective comparison. There is no standardization of what is machine intelligence and what should be measured to quantify it. In this study, we investigate the measurement of intelligence from the viewpoint of real-life difficult-problem-solving abilities, and we highlight the importance of being able to make accurate and robust comparisons between multiple cooperative multiagent systems (CMASs) using a novel metric. A recent metric presented in the scientific literature, called MetrIntPair, is capable of comparing the intelligence of only two CMASs at an application. In this paper, we propose a generalization of that metric called MetrIntPairII. MetrIntPairII is based on pairwise problem-solving intelligence comparisons (for the same problem, the problem-solving intelligence of the studied CMASs is evaluated experimentally in pairs). The pairwise intelligence comparison is proposed to decrease the necessary number of experimental intelligence measurements. MetrIntPairII has the same properties as MetrIntPair, with the main advantage that it can be applied to any number of CMASs conserving the accuracy of the comparison, while it exhibits enhanced robustness. An important property of the proposed metric is the universality, as it can be applied as a black-box method to intelligent agent-based systems (IABSs) generally, not depending on the aspect of IABS architecture. To demonstrate the effectiveness of the MetrIntPairII metric, we provide a representative experimental study, comparing the intelligence of several CMASs composed of agents specialized in solving an NP-hard problem.

A Study on Settlement Behavior Using D-Box Method: a Case Study in Vietnam

2021 ◽  
Author(s):  
Van Qui Lai ◽  
Thanh Hai Do ◽  
Quoc Thien Huynh ◽  
Suraparb Keawsawasvong
Keyword(s):  
Settlement Behavior ◽  
Box Method

Assessment of the Huygens’ Box Method With Different Sources Near Obstacles

2020 ◽  
Vol 62 (2) ◽  
pp. 433-442 ◽  
Author(s):  
Morten Sorensen ◽  
Ivan Bonev Bonev ◽  
Ondrej Franek ◽  
Gert Frolund Pedersen
Keyword(s):  
Box Method ◽  
Different Sources

The gliding box method for multifractal modeling

1999 ◽  
Vol 25 (9) ◽  
pp. 1073-1079 ◽  
Author(s):  
Qiuming Cheng
Keyword(s):  
Box Method ◽  
Multifractal Modeling

Oxygen therapy by the open box method

1938 ◽  
Vol 13 (6) ◽  
pp. 902-906 ◽  
Author(s):  
Daniel J. Pachman
Keyword(s):  
Oxygen Therapy ◽  
Box Method

Hot box method to investigate U-values for straw bale walls with various structures

2021 ◽  
pp. 110706
Author(s):  
Liu Yang ◽  
Jingjing Yang ◽  
Yan Liu ◽  
Yungang An ◽  
Jingheng Chen
Keyword(s):  
Box Method ◽  
Straw Bale Walls ◽  
Straw Bale

Incremental CCSD(T)(F12*)|MP2: A Black Box Method To Obtain Highly Accurate Reaction Energies

2013 ◽  
Vol 9 (12) ◽  
pp. 5381-5394 ◽  
Author(s):  
Joachim Friedrich ◽  
Julia Hänchen
Keyword(s):  
Black Box ◽  
Reaction Energies ◽  
Box Method
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