The measurement metric for power in the bucket

2019 ◽  
Author(s):  
Hai Chuan Zhao ◽  
Xianchen Xie ◽  
Shaowu Chen ◽  
Yong Wu ◽  
Zhenbao Wang ◽  
...  
Keyword(s):  
Measurement Metric

Plant Disease Detection and Classification Using Bacteria Foraging Optimization Algorithm Through Convolution Neural Network

2020 ◽  
Vol 17 (8) ◽  
pp. 3567-3576
Author(s):  
Venigalla Sai Teja ◽  
Chilakapati Srinivas ◽  
P. Radhika
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Euclidean Distance ◽  
Plant Diseases ◽  
Prompt Action ◽  
The Right ◽  
Measurement Metric ◽  
Bacteria Foraging Optimization Algorithm ◽  
Advanced Model

Humans can recognize the plants infected by diseases but separated from our visual perception it is hard to recognize plant diseases. In croplands without taking the right care and prompt action, the entire field may become a region afflicted by diseases. So we identify the plant diseases ahead of time with the assistance of present-day computer technologies. An advanced model was introduced to accurately recognize and classification plant diseases. Here we proposed an approach that can use the Convolutional Neural Network (CNN) based on BFOA for distinguishing diseases in plants. The input picture for the extraction of features is divided into 3 clusters by the Euclidean distance measurement metric of the k-mean algorithm and from the ROI, parameters of the GLCM matrix are calculated in the same cluster prior to BFOA. Assigning matrix parameters as BFOA input improves the network’s accuracy and efficiency in determining. In classification, we proposed a Convolutional Neural Network (CNN) using ResNet50 as a pre-trained network in deep learning toolbox which classifies from a given dataset. The approach is more reliable as the detection and classification of plant diseases are more precise.

scholarly journals A Measurement Metric for Forensic Latent Fingerprint Preprocessing

2014 ◽  
Author(s):  
Haiying Guan ◽  
Andrew Dienstfrey ◽  
Mary Theofanos ◽  
Brian Stanton
Keyword(s):  
Latent Fingerprint ◽  
Measurement Metric

UNIVERSAL METRIC BASE (RUMB), UNITS OF ANGLE MEASUREMENT IN GEODESY AND CARTOGRAPHY

2020 ◽  
pp. 53-63
Author(s):  
Nikola Ryazantsev ◽  
◽  
Alexander Nosach
Keyword(s):  
Angle Measurement ◽  
The Earth ◽  
Units Of Measurement ◽  
Mercator Projection ◽  
Rectangular Coordinates ◽  
Measurement Metric ◽  
First Time ◽  
Cylindrical Axis ◽  
Practical Implications ◽  
Objective Study

Objective. Study of ancient cartographic documents in order to clarify the principle of working with a portolan map based on the RUMB metric base. Methodology. Analytical, graphic, mathematical, geodesic. Scientific novelty. For the first time, a table of interrelation of units of measurement of time, angles and distances in the metric base of RUMB is shown. It was found that the so-called portolan maps were built on the basis of RUMB, and their projection is similar to the oblique Mercator projection with a cylindrical axis oriented along the earth’s magnetic axis, with an additional network of rhomb rectangular coordinates, which allows the map to be used at any position of the poles. The Mercator projection is a simplified version of it with one coordinate system. Practical implications. It is shown that dividing the clock face, equator and meridians of the Earth into the same number of parts allows determining the coordinates of points on the Earth’s surface using any of the known parameters, which greatly simplifies the solution of geodetic and navigation problems. Key words: units of measurement, metric base, degree, bearing, portolan map, rose card, projection, coordinate.

scholarly journals Preserving Differential Privacy for Similarity Measurement in Smart Environments

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kok-Seng Wong ◽  
Myung Ho Kim
Keyword(s):  
Privacy Protection ◽  
Differential Privacy ◽  
Smart Environments ◽  
Coefficient Function ◽  
Sensitive Information ◽  
Smart Environment ◽  
Privacy Concerns ◽  
Privacy Model ◽  
The Subject ◽  
Measurement Metric

Advances in both sensor technologies and network infrastructures have encouraged the development of smart environments to enhance people’s life and living styles. However, collecting and storing user’s data in the smart environments pose severe privacy concerns because these data may contain sensitive information about the subject. Hence, privacy protection is now an emerging issue that we need to consider especially when data sharing is essential for analysis purpose. In this paper, we consider the case where two agents in the smart environment want to measure the similarity of their collected or stored data. We use similarity coefficient functionFSCas the measurement metric for the comparison with differential privacy model. Unlike the existing solutions, our protocol can facilitate more than one request to computeFSCwithout modifying the protocol. Our solution ensures privacy protection for both the inputs and the computedFSCresults.

Toward a Unified Performance Metric for Benchmarking Steganography Systems

2019 ◽  
Vol 29 (03) ◽  
pp. 2050042 ◽  
Author(s):  
Tamer Rabie ◽  
Mohammed Baziyad ◽  
Talal Bonny ◽  
Raouf Fareh
Keyword(s):  
Performance Measure ◽  
Multimedia Data ◽  
Performance Metric ◽  
Recent Advances ◽  
Comparative Results ◽  
Measurement Metric ◽  
Quality Robustness

Recent advances in network speeds for exchanging multimedia data over insecure networks has resulted in an increased interest in steganography techniques. These techniques are usually evaluated based on their performance in three attributes; namely, capacity, imperceptibility, and robustness. Each of these attributes has its own measurement metric. Hence, comparing two different steganography schemes based on these individual metric tools becomes inconsistent. In this paper, a novel measurement metric tool is introduced for benchmarking steganography schemes. This new tool, named the “Combined Capacity-Quality-Robustness Effectiveness” (CCQRE) metric, combines the three opposing attributes of a steganography system into one conglomerate performance measure. Comparative results demonstrate the effectiveness of the proposed CCQRE metric for benchmarking various steganography schemes based on the researcher’s interest in capacity, imperceptibility, or robustness.

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