scholarly journals Framework for Enhancing the Performance of Classification by RCOS and HiForest

2020 ◽  
Vol 9 (3) ◽  
pp. 3317-3322
Keyword(s):  
Experimental Analysis ◽  
Data Sets ◽  
Classification Models ◽  
Time Data ◽  
Real Time Data ◽  
Single Attribute ◽  
Entire Object ◽  
Novel Approaches ◽  
Hybrid Isolation ◽  
Isolation Forest

This framework includes two novel approaches to choose the outlier from various datasets. First one being Relative Cosine-based Outlier Score (RCOS).It's proposed to measure the deviation score of the objects in which each single attribute deviation is calculated and multiplied to get the entire object deviation. Initially we set the threshold. If the calculated score is greater than the threshold, then the instance is considered as an outlier. These are identified and removed since outliers are not required for classification. Now, the remaining normal objects are subjected to different methods of classification. The second method is Hybrid Isolation Forest (HiForest). It is an enhanced version of isolation forest. Similar to method outliers are identified and removed. An experimental analysis is performed on synthetic real time data sets considered from weka and UCI repository. Classification models are built and the generated results are tabulated and accuracy is recorded. The results obtained by the above methods are compared and graphs are plotted for visualization

Development of an Intelligent Patrol Routing System Using GIS and Computer Simulations

2011 ◽  
pp. 339-351 ◽  
Author(s):  
Joseph Szakas ◽  
Christian Trefftz ◽  
Raul Ramirez ◽  
Eric Jefferis
Keyword(s):  
Information System ◽  
Real Time ◽  
Data Sets ◽  
Time Data ◽  
Map Algebra ◽  
Positioning Systems ◽  
Global Positioning ◽  
Real Time Data ◽  
Patrol Routing ◽  
Patrol Strategies

Patrolling in a nonrandom, but focused manner is an important activity in law enforcement. The use of geographic information systems, the emerging real-time data sets (spatial and nonspatial) and the ability via global positioning systems to identify locations of patrol units provide the environment to discuss the concept and requirements of an intelligent patrol routing system. This intelligent patrol routing system will combine available data utilizing Map Algebra and a data structure known as a Voronoi diagram to create a real-time updatable raster surface over the patrolling area to identify destination locations and routes for all patrol units. This information system will allow all patrol units to function “in concert” under a coordinated plan, and make good use of limited patrolling resources, and provide the means of evaluating current patrol strategies. This chapter discusses the algorithmic foundation, implications, requirements, and simulation of a GIS based intelligent patrol routing system.

scholarly journals Fully Convolutional Neural Network for Malaysian Road Lane Detection

2018 ◽  
Vol 7 (4.11) ◽  
pp. 152
Author(s):  
N. J. Zakaria ◽  
H. Zamzuri ◽  
M. H. Ariff1 ◽  
M. I. Shapiai ◽  
S. A. Saruchi ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Convolutional Neural Network ◽  
Urban Areas ◽  
Lane Detection ◽  
Data Sets ◽  
Time Data ◽  
Real Time Data ◽  
Solution Methods ◽  
Detection Of Objects

Recently, a deep learning, Fully Convolutional Neural Network (FCN) has been widely studied because it can demonstrate promising results in the application of detection of objects in an image or video. Hence, the FCN approach has been proposed as one of the solution methods in mitigating the issues pertinent to Malaysia’s road lane detection. Previously, FCN model for lane detection has not been tested in Malaysian road conditions. Therefore, this study investigates the further performance of this model in the Malaysia. The network model is trained and validated using the datasets obtained from Machine Learning NanoDegree. In addition, the real-time data collection has been conducted to collect the data sets for the testing at the highway and urban areas in Malaysia. Then, the collected data is used to test the performance of the FCN network in detecting the lane markings on Malaysia road. The results demonstrated that the FCN method is achieving 99% of the training and validation accuracy.  

scholarly journals Frontiers of Real-Time Data Analysis

2011 ◽  
Vol 49 (1) ◽  
pp. 72-100 ◽  
Author(s):  
Dean Croushore
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Data Sets ◽  
Current Analysis ◽  
Time Data ◽  
The Past ◽  
Data Revisions ◽  
The World ◽  
Real Time Data ◽  
The Impact

In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary policy analysis, and the use of real-time data in current analysis. This paper summarizes many of the questions for which real-time data analysis has provided answers. In addition, researchers and institutions have developed better real-time data sets around the world. Still, additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring. (JEL C52, C53, C80, E01)

scholarly journals The Gulf Stream Voyage: Using Real Time Data in the Classroom

2005 ◽  
Vol 39 (4) ◽  
pp. 90-95 ◽  
Author(s):  
Liesl Hotaling
Keyword(s):  
Learning Styles ◽  
Real Time ◽  
Gulf Stream ◽  
Primary Source ◽  
Data Sets ◽  
Time Data ◽  
Problem Solving Skills ◽  
Earth Systems ◽  
Real Time Data ◽  
History Of

The recent ingression of numerous scientific research sensor networks promises the potential to improve scientific knowledge and influence many societal issues including education. Until the availability of the Internet in classrooms, students used limited and outdated data sets to learn about dynamic earth systems. Internet access creates an important opportunity for students to obtain real-time data, providing them with engaging and up-to-date information. It is essential for research scientists to consider audiences beyond their own research community and think about how and where their data can be used for educational purposes, and to create engaging, clear, concise displays of data in an effort to reach non-scientific audiences. Scientific real-time data sources displayed in a "friendly" manner have been used in classrooms for several years resulting in the discovery of several significant educational advantages including: the infusion of inquiry-based learning, fostering problem solving skills, addressing several learning styles, and student relevance. As an example of ways in which scientific real-time data can be adapted for use in the classroom, this paper describes The Gulf Stream Voyage which is an Internet-based multidisciplinary project that utilizes both real-time data and primary source materials to help guide students to discover the science and history of the Gulf Stream.

scholarly journals AN INTEGRATED APPROACH IN DESIGN, INSTALLATION AND COMMISSIONING OF MIRROR RTH AND GLOBAL INFORMATION SYSTEM CENTER (GISC) AT, PUNE

MAUSAM ◽  
2021 ◽  
Vol 71 (1) ◽  
pp. 149-158
Author(s):  
YADAV J K S
Keyword(s):  
Information System ◽  
Web Service ◽  
Real Time ◽  
Data Communication ◽  
Integrated Approach ◽  
Data Sets ◽  
Global Information ◽  
Time Data ◽  
Global Information System ◽  
Real Time Data

WMO Information System (WIS)/Global Information System Center (GISC) and Mirror of Regional Telecommunication Hub (RTH) is basically a metadata catalogue web service and allows Data communication, synchronization of metadata with other Data Collection or Production Center (DCPC), GISCs or National Centers (NC’s) based on protocol OAI-PMH. Such catalogue is quite useful for rapidly integrating real-time and non- real- time data sets for better interpretation of weather systems by the forecaster (Singh et al., 2017).

Screening large data sets and real‐time data streams for bioacoustic signals.

2009 ◽  
Vol 125 (4) ◽  
pp. 2587-2587
Author(s):  
Holger Klinck ◽  
Lars Kindermann ◽  
David K. Mellinger ◽  
Olaf Boebel
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Time Data ◽  
Real Time Data

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

A Fast Method for Defogging of Outdoor Visual Images

2019 ◽  
Vol 12 ◽  
Author(s):  
Tannistha Pal
Keyword(s):  
Intelligent Vehicles ◽  
Visual Surveillance ◽  
Qualitative Assessment ◽  
Computational Time ◽  
Data Sets ◽  
Fast Method ◽  
Time Data ◽  
Image Defogging ◽  
Clear Vision ◽  
Dark Channel

Images captured in severe atmospheric catastrophe especially in fog critically degrade the quality of an image and thereby reduces the visibility of an image which in turn affects several computer vision applications like visual surveillance detection, intelligent vehicles, remote sensing, etc. Thus acquiring clear vision is the prime requirement of any image. In the last few years, many approaches have been made towards solving this problem. In this article, a comparative analysis has been made on different existing image defogging algorithms and then a technique has been proposed for image defogging based on dark channel prior strategy. Experimental results show that the proposed method shows efficient results by significantly improving the visual effects of images in foggy weather. Also computational time of the existing techniques are much higher which has been overcame in this paper by using the proposed method. Qualitative assessment evaluation is performed on both benchmark and real time data sets for determining theefficacy of the technique used. Finally, the whole work is concluded with its relative advantages and shortcomings.

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