A Framework for Regression Testing of Outdoor Mobile ApplicationsMobileSoft
"A Framework for Regression Testing of Outdoor Mobile Applications"
by Carlo Bernashina Roman Fedorov Darian Frajberg Piero Fraternali.
MobileSoft'17, Buenos Aires, Argentina, 2017.
The Journal of MC Square Scientific Research is published by MC Square Publication on the monthly basis. It aims to publish original research papers devoted to wide areas in various disciplines of science and engineering and their applications in industry. This journal is basically devoted to interdisciplinary research in Science, Engineering and Technology, which can improve the technology being used in industry. The real-life problems involve multi-disciplinary knowledge, and thus strong inter-disciplinary approach is the need of the research.
it about the project classification of arrhythmia ,Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. The name machine learning was coined in 1959 by Arthur Samuel. Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E." This follows A
A Framework for Regression Testing of Outdoor Mobile ApplicationsMobileSoft
"A Framework for Regression Testing of Outdoor Mobile Applications"
by Carlo Bernashina Roman Fedorov Darian Frajberg Piero Fraternali.
MobileSoft'17, Buenos Aires, Argentina, 2017.
The Journal of MC Square Scientific Research is published by MC Square Publication on the monthly basis. It aims to publish original research papers devoted to wide areas in various disciplines of science and engineering and their applications in industry. This journal is basically devoted to interdisciplinary research in Science, Engineering and Technology, which can improve the technology being used in industry. The real-life problems involve multi-disciplinary knowledge, and thus strong inter-disciplinary approach is the need of the research.
it about the project classification of arrhythmia ,Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. The name machine learning was coined in 1959 by Arthur Samuel. Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E." This follows A
ON THE DEVELOPMENT OF THE
STRENGTH OF MATERIALS LABORATORY:
A NON-EE/CS iLAB FOR STATIC BENDING TEST
(final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Improving patient care along with quality service and at the same time cutting costs might seem totally opposite goals, but that is exactly the promise of telemedicine. The term telemedicine covers an ever increasing number of techniques that put patients in touch with medical expertise over great distances. Techlead Software Engineering Pvt. Ltd. India is coming up with one stop solution for ophthalmologist, the Digitech Ophthalmologist.
Digitech Ophthalmologist
Digital ophthalmologist is a software tool developed by Techlead software Engineering. It has been developed with understanding of the ophthalmologist’s concerns. This smart assistant to doctors will perform many of their routine and time consuming tasks in a much efficient way.
Panorama ConstructionCDR AnalysisGlaucoma DetectionBlood Vessel Analysis3D Retina ReconstructionRetinopathy
Single Camera Calibration Using Partially Visible Calibration Objects Based o...Yuji Oyamada
Our work published at IEEE ISMAR 2012 Workshop on Tracking Methods and Applications (TMA).
https://sites.google.com/view/dryujioyamada/research/practicalcalibration
Laminar flow over backward-facing step (2D) simulationHayderJawadKadhim
Is to simulate a laminar flow over a backward-facing step and
Give some insight into the influence of the grid density and
Order of the spatial discretization.
ON THE DEVELOPMENT OF THE
STRENGTH OF MATERIALS LABORATORY:
A NON-EE/CS iLAB FOR STATIC BENDING TEST
(final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Improving patient care along with quality service and at the same time cutting costs might seem totally opposite goals, but that is exactly the promise of telemedicine. The term telemedicine covers an ever increasing number of techniques that put patients in touch with medical expertise over great distances. Techlead Software Engineering Pvt. Ltd. India is coming up with one stop solution for ophthalmologist, the Digitech Ophthalmologist.
Digitech Ophthalmologist
Digital ophthalmologist is a software tool developed by Techlead software Engineering. It has been developed with understanding of the ophthalmologist’s concerns. This smart assistant to doctors will perform many of their routine and time consuming tasks in a much efficient way.
Panorama ConstructionCDR AnalysisGlaucoma DetectionBlood Vessel Analysis3D Retina ReconstructionRetinopathy
Single Camera Calibration Using Partially Visible Calibration Objects Based o...Yuji Oyamada
Our work published at IEEE ISMAR 2012 Workshop on Tracking Methods and Applications (TMA).
https://sites.google.com/view/dryujioyamada/research/practicalcalibration
Laminar flow over backward-facing step (2D) simulationHayderJawadKadhim
Is to simulate a laminar flow over a backward-facing step and
Give some insight into the influence of the grid density and
Order of the spatial discretization.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
3. Dynamic pressure monitoring is necessary particularly for diabetic &
polio patients eventually leading to gangrene and amputation. It uses a
horizontally placed transparent Acrylic plate with a webcam placed
below facing upwards. Light from a IR LED strips entered the acrylic
plate from a side and traversed the thickness through total internal
reflection. The scattered IR light rays are recorded as an image by the IR
based webcam. Software on Matlab platform was developed to grab and
analyze image to display dynamic pressure distribution in artificial color
contours. Intensities of pressure at user chosen points were also
provided. The developed system worked with satisfaction and is being
used for clinical assessment regularly.
Abstract
4. • To capture the created blog image and monitor the pressure using acrylic sheet
which acts as a sensor depending on the IR Radiation and analyse it using matlab
software
Objective
13. • Measuring foot pressure for Diabetic Patients and polio patients
Monitor degenerative foot disorders
Identify areas of potential ulceration
Regulate weight bearing after surgery
Evaluate athletic footwear
Applications