Padma Mishra - Academia.edu (original) (raw)
Papers by Padma Mishra
International journal of health sciences
Data visualization is basically a field that deals with graphical representation of information f... more Data visualization is basically a field that deals with graphical representation of information from raw data. Data visualization tools provide areachable way to see and understand the pattern, outliers and trends in data by using data tools like charts, graphs and maps. It makes decision based on knowing rather than guessing. Large amount of data can be accessible because of Data visualization. Data Visualization also helps in telling stories that highlight trends, pattern, and outliers in organization. Thispaper basically focuses on how data visualization is important in sector of education and also the role of dashboard in improvement of students performance and institutional growth.
A feature is a prominent interest point in an image that can be used for a different task process... more A feature is a prominent interest point in an image that can be used for a different task processing of image besides computer vision based on processes for object recognition. The features could be extracted by mathematical models that detect deep variations in texture, detect edges, or color. The selected features must have global definition within the defined problem vehicle detection. The focus of this paper is on detection of vehicle, Extraction of Region of Interest for the feature which is represented globally their module might produce a model intended for encoding of images’ features dependency technique can be applied. In this paper, We offer an extremely robust, capable, method aimed at creation of image feature vector for vehicle detection model system with both feature extraction also global feature representation method for both inter classes sameness and also the intra-class variation, thus to overcome the problem of multiplicity and ambiguity issues.
Predictions Algorithms in Educational Systems based on Student Performance
MERI-Journal of Management & IT
Vision Based Vehicle Detection Using Hybrid Algorithm
MERI-Journal of Management & IT
On Road Obstacle Detection:A Review
MERI-Journal of Management & IT
On Road Obstacles detection from moving camera is also come under object detection. Road obstacle... more On Road Obstacles detection from moving camera is also come under object detection. Road obstacles are a source of serious accidents that have a simple influence on driver safety, traffic flow efficiency and damage of the vehicle. The obstacle detection technologies are increasingly popular choices for driver assistant system. Obstacles detection is essential to avoid such kind of the accidents. Determining obstacles is very difficult and also it becomes complicated because of various problems like existence of shadow, environmental variations or an unexpected act of any moving things (e.g., car overtaking, animal coming) and many others with stationary camera. A new process is presented for detecting obstacles from moving camera and moving objects which overcomes numerous limitations above stationary cameras and moving/stationary objects. Further, paper analyses latest research developments to spot obstacles for moving cameras and moving objects with discussion of key points and limitations of each approach. Given the importance of obstacle detection, the main measure of interest was to decrease the road accidents and driver's safety. Detection of obstacles with moving camera and moving objects is more robust and reliable than stationary cameras.
MERI-Journal of Management & IT
Higher Education recently has a strong demand for, and perfect strategic transformation, as the d... more Higher Education recently has a strong demand for, and perfect strategic transformation, as the data come to be more available, toward using innovative technologies in complex decision making, students' retention and quality control environment, improving learning process, teaching strategies and quality control mechanisms [1], [2], [3]. The establishment of higher education institutions for large data is increasingly important in preparation their foundation for advanced analysis, which is now urgently needed, as well as the need to transform organizational and student data into useful knowledge[4], [5], [6], [7]. Big data has become one of the most important issues in data analysis. They refer to ocean amount of data that are either too large or too unstructured, flowing from various heterogeneous sources and different in shape, genre and independent relationships, and so need sophisticated techniques to take advantage of and analyze them [8], [9]. The numbers show that thousands of hours of data, videos and
Proposed Framework for Partial Vehicle Image Detection Using SVM and Fuzzy
MERI-Journal of Management & IT
International journal of health sciences
Data visualization is basically a field that deals with graphical representation of information f... more Data visualization is basically a field that deals with graphical representation of information from raw data. Data visualization tools provide areachable way to see and understand the pattern, outliers and trends in data by using data tools like charts, graphs and maps. It makes decision based on knowing rather than guessing. Large amount of data can be accessible because of Data visualization. Data Visualization also helps in telling stories that highlight trends, pattern, and outliers in organization. Thispaper basically focuses on how data visualization is important in sector of education and also the role of dashboard in improvement of students performance and institutional growth.
A feature is a prominent interest point in an image that can be used for a different task process... more A feature is a prominent interest point in an image that can be used for a different task processing of image besides computer vision based on processes for object recognition. The features could be extracted by mathematical models that detect deep variations in texture, detect edges, or color. The selected features must have global definition within the defined problem vehicle detection. The focus of this paper is on detection of vehicle, Extraction of Region of Interest for the feature which is represented globally their module might produce a model intended for encoding of images’ features dependency technique can be applied. In this paper, We offer an extremely robust, capable, method aimed at creation of image feature vector for vehicle detection model system with both feature extraction also global feature representation method for both inter classes sameness and also the intra-class variation, thus to overcome the problem of multiplicity and ambiguity issues.
Predictions Algorithms in Educational Systems based on Student Performance
MERI-Journal of Management & IT
Vision Based Vehicle Detection Using Hybrid Algorithm
MERI-Journal of Management & IT
On Road Obstacle Detection:A Review
MERI-Journal of Management & IT
On Road Obstacles detection from moving camera is also come under object detection. Road obstacle... more On Road Obstacles detection from moving camera is also come under object detection. Road obstacles are a source of serious accidents that have a simple influence on driver safety, traffic flow efficiency and damage of the vehicle. The obstacle detection technologies are increasingly popular choices for driver assistant system. Obstacles detection is essential to avoid such kind of the accidents. Determining obstacles is very difficult and also it becomes complicated because of various problems like existence of shadow, environmental variations or an unexpected act of any moving things (e.g., car overtaking, animal coming) and many others with stationary camera. A new process is presented for detecting obstacles from moving camera and moving objects which overcomes numerous limitations above stationary cameras and moving/stationary objects. Further, paper analyses latest research developments to spot obstacles for moving cameras and moving objects with discussion of key points and limitations of each approach. Given the importance of obstacle detection, the main measure of interest was to decrease the road accidents and driver's safety. Detection of obstacles with moving camera and moving objects is more robust and reliable than stationary cameras.
MERI-Journal of Management & IT
Higher Education recently has a strong demand for, and perfect strategic transformation, as the d... more Higher Education recently has a strong demand for, and perfect strategic transformation, as the data come to be more available, toward using innovative technologies in complex decision making, students' retention and quality control environment, improving learning process, teaching strategies and quality control mechanisms [1], [2], [3]. The establishment of higher education institutions for large data is increasingly important in preparation their foundation for advanced analysis, which is now urgently needed, as well as the need to transform organizational and student data into useful knowledge[4], [5], [6], [7]. Big data has become one of the most important issues in data analysis. They refer to ocean amount of data that are either too large or too unstructured, flowing from various heterogeneous sources and different in shape, genre and independent relationships, and so need sophisticated techniques to take advantage of and analyze them [8], [9]. The numbers show that thousands of hours of data, videos and
Proposed Framework for Partial Vehicle Image Detection Using SVM and Fuzzy
MERI-Journal of Management & IT