Pakistan's First High Performance Analytical Engine
Powered
By NCBC, Hosted In NED University.
The National Center in Big Data and Cloud Computing (NCBC)
focuses on R&D and human resource development in the
specialized field of Big Data and Cloud Computing and its
practical applications, which are important components of
Vision 2025
NCBC organized a live session of Annular Solar Eclipse on 21
June 2020 from Sukkur, Sindh, Pakistan.& captured this
stunning RING OF FIRE moment of Annular Solar
Eclipse.
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Group photo @ NCBC Inauguration
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NCBC-NEDUET started two TECH STARTUP and provide opportunities to help them grow into the mature business entities with well-established working environment. NCBC also facilitates the startup scene that assist the entrepreneurs in finding mentors, funding, business networks, etc.
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Malnutrition Indicators in Tharparkar.To study causes of malnutrition in Tharparkar region of Sindh and to develop technological solutions for improving conditions of malnutrition while also collecting valuable data for future research work. The main benefit of this project would be the prediction and visualization aspects. Technology is being used all over the world to combat social problems and we propose that with the help of technologies related to our problem set we may be able to predict causes of malnutrition that can then alert authorities in advance so that they are able to plan ahead. This project plans to enable smart, calculated and timely decisions that will hopefully save and empower the local people and usher the region into prosperity. |
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Area Calculation of Manchar Lake Using GEEThe sustainability of the hydrological and ecological ecosystems of any region requires continuous monitoring of the water bodies. Recent advancements in satellite-based remote optical sensors, big data analysis, and cloud computing have given new dimensions to the field of water body studies including their detection as well as analysis. The present study on Manchar Lake proposed a hybrid water index along with the different existing water body detection indices and spectral bands that have been worked out on the satellite images. Based on the 7 years of data, the proposed algorithm calculates the water body area more precisely. These results help to better preserve and improve the quality of the water resource. |
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Driving Pattern Analysis ApplicationDriving Pattern Analysis is a usage-based insurance savings program developing with the collaboration with ASIA INSURANCE that is 100% voluntary and free. The safer you drive, the more you could save. The application collects and analyzes driving data such as acceleration, braking, speeding, cornering, and time of day, and assigns a driving score for each trip. |
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AUTOMATED SUNSPOTS DETECTION USING ARTIFICIAL INTELLIGENCESmart sunspot detection system. Sunspots are dark, planet-sized regions that appear on the "surface" of the Sun.They are regions of reduced surface temperature caused by disturbances in the Sun's magnetic field.Since sunspots are associated with solar activity, space weather forecasters track these features in order to help predict outbursts of "solar storms" that can disrupt space weather in the vicinity of earth. An intelligent system is therefore required that can efficiently detect sunspots or active regions on the Sun. In AUTOMATED SUNSPOTS DETECTION a Machine Learning based predictive model is used to predict the sunspots. |
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INTELLIGENT CELESTIAL OBJECT DETECTION USING ADVANCE MACHINE LEARNING ALGORITHMFully automated and intelligent celestial object detection system. In this project the system will be using an algorithm to identify the shape of the celestial object present in the image. The algorithm will supplementary spot any merger and odd features in the identified shape. This will help in the identification of the celestial object that will further support in understanding its behavior. . |
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INTELLIGENT CONSTELLATION DETECTION SYSTEM USING AIAutomated and intelligent constellation detection system. The objective of this research is to use pattern recognition to detect the constellations present in the deep sky image. In this project, the images will be processed to filter out and remove noise, and then the pattern recognition algorithm will be applied on the image to detect the constellations present. Then the output will be provided to the user on the images with detected constellations' pattern plotted. |
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AI BASED HUMAN DETECTION & ADJUSTMENT SYSTEMSmart AI based Human Detection System In this project the system will be using an AI algorithm to identify human and crop human face from image. Detect face gesture such as smile,eye contact & tilt faces. Show error on images with improper resolution, non human & face with improper gesture. |
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SMART ADS EXTRACTORAutomated and intelligent system to detect ads shown on different websites. The objective of this research is to use pattern recognition to detect the constellations present in the deep sky image. In this project, the images will be processed to filter out and remove noise, and then the pattern recognition algorithm will be applied on the image to detect the constellations present. Then the output will be provided to the user on the images with detected constellations' pattern plotted.
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GENOMICS BIRTH DEFECT DATABASE
Birth Defect Database This Birth Defects database is a collection of birth defects data present in different authentic websites/databases/organizations as shown in the pyramid. The importance of this database is that it merges all the accurate information related to the common birth defects found in Pakistan and provides it at a single platform which makes it quite helpful for the genetic researchers/students/clinicians working in the domain of birth defects. |
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A DIGITAL ELEVATION MODEL FOR CALIBRATING TSUNAMI MODEL IN KARACHI HARBOUR
Developing a Digital Elevation Model
This study is focused on developing a Digital Elevation Model for simulating the 1945 Makran tsunami in Karachi Harbour. Nautical charts and topographic maps allow the DEM to approximate physiography encountered. The intended application is computer simulation of the tsunami’s effects, which have been compiled elsewhere from a tide-gauge record, newspaper accounts, and testimony of elderly residents. |
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TSUNAMI RISK ASSESSMENT IN COASTS OF PAKISTAN BORDERING THE MAKRAN REGIONTsunami Risk Mapping in coasts of Pakistan This study is focused on tsunami effects along coasts of Pakistan resulting from Tsunami currents rather than high water levels. Simulation is to be done with an open source code, Geo Claw, which uses a High resolution shock capturing finite volume method to solve the depth averaged Two dimensional nonlinear shallow water equations that are standard in modelling tsunami propagation and Inundation.
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IDENTIFICATION OF GENE SPECIFIC CIS-REGULATORY ELEMENTS DURING DIFFERENTIATION OF MOUSE EMBRYONIC STEM CELLSAn integrative approach using high-throughput datasets Developed individual models to identify the potential control elements predictive of the expression of each gene. Our models were compared to an existing method and evaluated using the existing literature and new experimental data using embryonic stem cell differentiation reporter assays. Our method is able to identify transcriptional control elements in a gene specific manner that reflect known regulatory relationships and to generate useful hypotheses for further testing. |
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IDENTIFICATION OF EPIGENETIC MARKERS FOR PREDICTION OF CANCERThe present study aims to identify a set of novel genes and pathogenic alleles (consistent mutations) that might be involved in liver cancer. The non-coding mutations were identified in transcription factor binding sites of HepG2 cells. The pathogenic alleles identified in this study may help to understand the progression of liver cancer at molecular level. They may also act as potential biomarkers and therapeutic targets for liver cancer prediction and treatment. |
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