Lactic acid is the most common and important chemical compound used in the pharmaceutical, cosmetic, chemical, and food industries. Various attempts have been made to produce lactic acid efficiently from inexpensive raw materials. Lactic acid can be produced by various methods such as fermentation of sugars and food waste. In this way, lactic acid is an environmentally friendly product that has gotten a lot of attention in recent years.
As the music has the high impact on the human
brain activity the recent studies has proved that human
respond and react to music and has high impact on human
body. The average human being listens to music that they
love for four hours in a day based on their mood and
interest.
As the music has the high impact on the human
brain activity the recent studies has proved that human
respond and react to music and has high impact on human
body. The average human being listens to music that they
love for four hours in a day based on their mood and
interest.
SWE481 – Software Engineering Capstone 1 Page | 2
SWE481 Software Engineering Capstone I
Group Software Development Plan
11 August 2014
Week 5
Contents
1. Project Outline 4
2. Development Methodology 7
3. Requirements 9
3.1 Requirements Gathering Process 9
3.2 Project Requirements 10
3.3 Requirements Analysis 11
4. App Design 12
4.1 Music App Architecture 12
4.2 Major Application Components 13
4.3 Class Diagram 14
4.4 Use Case Diagram 15
4.5 Main Screen 16
4.6 Data Management 17
5. Development and Testing 18
5.1 Coding Agile Development 18
5.2 Key Processes 18
5.3 Testing Phases 20
5.4 Test Cases 21
6. Project Schedule 23
6.1 Master Schedule 23
6.2 Gantt Chart 25
6.3 Network Diagram 25
7. Risk Analysis 26
7.1 Risk Assessment 26
7.2 Mitigation Strategy 26
References 26
1. Project Outline
The project that we have chosen is a mobile application for music to expand the streaming music that is already available on the website. The application will have two options for the user to choose from. The first option will be a no cost listening option, which will have ads associated with it. This option will be a radio stream that will allow the user to listen to random songs based on the interests that they choose. The second option would be an ad-free paid subscription where the user can pick specific songs to add to their playlist for their listening pleasure.
The application will be developed to work on the Android 4.0+ operating system along with iOS 6.0+ and Windows 8.x+ phones. It will include integration for social media so that users can post their playlists and what they are listening. They will be able to share the playlists with their friends and family.
The application will be only need the UI developed as it will integrate with the backend that is already developed for the website. The budget for the project is estimated to be $300k with an expected timeline to be between 60 and 90 days. This will be finalized once the schedule is created and released.
The project will be broken down into 5 phases.
1. Initial pilot application. At this phase the application will allow users to create accounts, and have the majority of the front end laid out, but not completely functional.
2. Radio Module. This will be the development of the search functionality to allow users to search through the database of songs and artists and begin to find music for which they wish to listen.
3. Subscription Module. This will allow users to use the Radio Module above and save the songs to playlists and add music to the library.
4. Social Media Module. This will allow users to begin posting information on what they are listening to their social media networks.
5. Project Close. This will be the final release of the completed application.
Each of these phases corresponds to a cycle in the software development methodology that we have chosen to use for this project.
We must consider a number of things while developing this software and looking into devel ...
A new alley in Opinion Mining using Senti Audio Visual AlgorithmIJERA Editor
People share their views about products and services over social media, blogs, forums etc. If someone is willing
to spend resources and money over these products and services will definitely learn about them from the past
experiences of their peers. Opinion mining plays vital role in knowing increasing interests of a particular
community, social and political events, making business strategies, marketing campaigns etc. This data is in
unstructured form over internet but analyzed properly can be of great use. Sentiment analysis focuses on polarity
detection of emotions like happy, sad or neutral.
In this paper we proposed an algorithm i.e. Senti Audio Visual for examining Video as well as Audio
sentiments. A review in the form of video/audio may contain several opinions/emotions, this algorithm will
classify the reviews with the help of Baye’s Classifiers to three different classes i.e., positive, negative or
neutral. The algorithm will use smiles, cries, gazes, pauses, pitch, and intensity as relevant Audio Visual
features.
How YouTubers Can Use Social Media Listening .pptxRepustate
YouTube is one of the most influential platforms when it comes to extracting market intelligence through social media listening. After all, with over 2.3 billion users worldwide, it’s easy to see why YouTube is one of the best social channels to build and engage with an audience. But with 500 hours worth of video uploaded every minute, the competition is immense. As a result, creators need to be more innovative and work harder than ever.
Online interview is not a new thing but in this covid-19 situation it seems to be the only option. However, assessing the candidate on a video call may not be that effective. Having an AI based Interview Assessment System could prove to be useful, which would take input as speech and will give output as detailed analysis of that speech. While most the research work currently done focuses only on finding sentiment or personality from speech, our system aims to extract multiple information from the speech and provide a detailed analysis. The analysis would include a detailed report containing results about confidence level of the person, his/her emotional state, speed of the speech, frequently repeated words and also personality reflected by that speech. An interview panel consists of various members focusing on different aspect of the answer given by the candidate, some focus on technical correctness while, some simply want to check the communication skills of the candidate. Having an AI system giving a report on the soft skills part would reduce the work for interviewer and he/she could give complete focus on the technical correctness of the answer. This could eventually help save time and resources used by organizations for hiring process. This intention of creating this system is to assist the interview process and give analysis report based on the speech input instead a giving a verdict about selection of the candidate. Thus, this system could use not only by the interviewers but also by the candidates. The output provided would be a detailed report which could prove to be a good feedback for the students who are preparing for the interview. Having a feedback would help candidates work on their week points and thus perform better in further interviews.
Abstract : Fire incident is a disaster that results in the loss of life, damage to the property and endless disaster
to the victim. Fire extinguishing is an exceptionally unsafe undertaking and it might likewise include death risk.
Robotics is the answer to ensure the safeguarding of the surroundings and also the life of firefighters. Fire sensing
and extinguishing robot is a model which can be used in extinguishing the fire with minimum human intervention.
There is a threat to the life of the fire fighters in extinguishing the fire and there are some difficult areas where
they cannot reach like that in the tunnels. At similar kind of places this automatic robot is veritably useful to
perform the task. This robot can be controlled remotely by mobile phone using Bluetooth module. The robot is
equipped with the flame sensors that automatically detects the fire and gives the further signal to the extinguisher
units to start the pump and extinguish the fire by spraying water. Arduino uno is used as the microcontroller to
operate the whole operation. The proposed robot has been used for various trials and proper evaluation has been
done to check the proper functioning and to get the desired result
Abstract: Detection of fake news based on deep learning techniques is a major issue used to mislead people. For
the experiments, several types of datasets, models, and methodologies have been used to detect fake news. Also,
most of the datasets contain text id, tweets id, and user-based id and user-based features. To get the proper results
and accuracy various models like CNN (Convolution neural network), DEEP CNN, and LSTM (Long short-term
memory) are used
More Related Content
Similar to Isolation Of Lactic Acid Producing Bacteria And Production Of Lactic Acid From Isolates
SWE481 – Software Engineering Capstone 1 Page | 2
SWE481 Software Engineering Capstone I
Group Software Development Plan
11 August 2014
Week 5
Contents
1. Project Outline 4
2. Development Methodology 7
3. Requirements 9
3.1 Requirements Gathering Process 9
3.2 Project Requirements 10
3.3 Requirements Analysis 11
4. App Design 12
4.1 Music App Architecture 12
4.2 Major Application Components 13
4.3 Class Diagram 14
4.4 Use Case Diagram 15
4.5 Main Screen 16
4.6 Data Management 17
5. Development and Testing 18
5.1 Coding Agile Development 18
5.2 Key Processes 18
5.3 Testing Phases 20
5.4 Test Cases 21
6. Project Schedule 23
6.1 Master Schedule 23
6.2 Gantt Chart 25
6.3 Network Diagram 25
7. Risk Analysis 26
7.1 Risk Assessment 26
7.2 Mitigation Strategy 26
References 26
1. Project Outline
The project that we have chosen is a mobile application for music to expand the streaming music that is already available on the website. The application will have two options for the user to choose from. The first option will be a no cost listening option, which will have ads associated with it. This option will be a radio stream that will allow the user to listen to random songs based on the interests that they choose. The second option would be an ad-free paid subscription where the user can pick specific songs to add to their playlist for their listening pleasure.
The application will be developed to work on the Android 4.0+ operating system along with iOS 6.0+ and Windows 8.x+ phones. It will include integration for social media so that users can post their playlists and what they are listening. They will be able to share the playlists with their friends and family.
The application will be only need the UI developed as it will integrate with the backend that is already developed for the website. The budget for the project is estimated to be $300k with an expected timeline to be between 60 and 90 days. This will be finalized once the schedule is created and released.
The project will be broken down into 5 phases.
1. Initial pilot application. At this phase the application will allow users to create accounts, and have the majority of the front end laid out, but not completely functional.
2. Radio Module. This will be the development of the search functionality to allow users to search through the database of songs and artists and begin to find music for which they wish to listen.
3. Subscription Module. This will allow users to use the Radio Module above and save the songs to playlists and add music to the library.
4. Social Media Module. This will allow users to begin posting information on what they are listening to their social media networks.
5. Project Close. This will be the final release of the completed application.
Each of these phases corresponds to a cycle in the software development methodology that we have chosen to use for this project.
We must consider a number of things while developing this software and looking into devel ...
A new alley in Opinion Mining using Senti Audio Visual AlgorithmIJERA Editor
People share their views about products and services over social media, blogs, forums etc. If someone is willing
to spend resources and money over these products and services will definitely learn about them from the past
experiences of their peers. Opinion mining plays vital role in knowing increasing interests of a particular
community, social and political events, making business strategies, marketing campaigns etc. This data is in
unstructured form over internet but analyzed properly can be of great use. Sentiment analysis focuses on polarity
detection of emotions like happy, sad or neutral.
In this paper we proposed an algorithm i.e. Senti Audio Visual for examining Video as well as Audio
sentiments. A review in the form of video/audio may contain several opinions/emotions, this algorithm will
classify the reviews with the help of Baye’s Classifiers to three different classes i.e., positive, negative or
neutral. The algorithm will use smiles, cries, gazes, pauses, pitch, and intensity as relevant Audio Visual
features.
How YouTubers Can Use Social Media Listening .pptxRepustate
YouTube is one of the most influential platforms when it comes to extracting market intelligence through social media listening. After all, with over 2.3 billion users worldwide, it’s easy to see why YouTube is one of the best social channels to build and engage with an audience. But with 500 hours worth of video uploaded every minute, the competition is immense. As a result, creators need to be more innovative and work harder than ever.
Online interview is not a new thing but in this covid-19 situation it seems to be the only option. However, assessing the candidate on a video call may not be that effective. Having an AI based Interview Assessment System could prove to be useful, which would take input as speech and will give output as detailed analysis of that speech. While most the research work currently done focuses only on finding sentiment or personality from speech, our system aims to extract multiple information from the speech and provide a detailed analysis. The analysis would include a detailed report containing results about confidence level of the person, his/her emotional state, speed of the speech, frequently repeated words and also personality reflected by that speech. An interview panel consists of various members focusing on different aspect of the answer given by the candidate, some focus on technical correctness while, some simply want to check the communication skills of the candidate. Having an AI system giving a report on the soft skills part would reduce the work for interviewer and he/she could give complete focus on the technical correctness of the answer. This could eventually help save time and resources used by organizations for hiring process. This intention of creating this system is to assist the interview process and give analysis report based on the speech input instead a giving a verdict about selection of the candidate. Thus, this system could use not only by the interviewers but also by the candidates. The output provided would be a detailed report which could prove to be a good feedback for the students who are preparing for the interview. Having a feedback would help candidates work on their week points and thus perform better in further interviews.
Similar to Isolation Of Lactic Acid Producing Bacteria And Production Of Lactic Acid From Isolates (20)
Abstract : Fire incident is a disaster that results in the loss of life, damage to the property and endless disaster
to the victim. Fire extinguishing is an exceptionally unsafe undertaking and it might likewise include death risk.
Robotics is the answer to ensure the safeguarding of the surroundings and also the life of firefighters. Fire sensing
and extinguishing robot is a model which can be used in extinguishing the fire with minimum human intervention.
There is a threat to the life of the fire fighters in extinguishing the fire and there are some difficult areas where
they cannot reach like that in the tunnels. At similar kind of places this automatic robot is veritably useful to
perform the task. This robot can be controlled remotely by mobile phone using Bluetooth module. The robot is
equipped with the flame sensors that automatically detects the fire and gives the further signal to the extinguisher
units to start the pump and extinguish the fire by spraying water. Arduino uno is used as the microcontroller to
operate the whole operation. The proposed robot has been used for various trials and proper evaluation has been
done to check the proper functioning and to get the desired result
Abstract: Detection of fake news based on deep learning techniques is a major issue used to mislead people. For
the experiments, several types of datasets, models, and methodologies have been used to detect fake news. Also,
most of the datasets contain text id, tweets id, and user-based id and user-based features. To get the proper results
and accuracy various models like CNN (Convolution neural network), DEEP CNN, and LSTM (Long short-term
memory) are used
Abstract : The project’s major goal is to create an intelligent trash can that would aid in maintaining a clean
and environmentally friendly environment. The Swachh Bharat Mission motivates us. Since technology is
becoming increasingly intelligent, we are utilising Arduino nano to develop an intelligent dustbin to help clean
the environment. The ultrasonic sensors on the trashcan are part of the dustbin control and management system,
which happens to be designed with a microcontroller-based platform. In the suggested method, we used an
ARDUINO NANO, an ultrasonic sensor, a Mini servo motor, and jumper wire linked to a charger to construct an
intelligent trash can. The Smart Dustbin application will launch when all hardware and software connections
have been made. Dustbin lid will wait for the person to pass by at a distance of 60 cm.
Abstract: A technology called Quantum Dot Cellular Automata (QCA) offers a far more effective computational
platform than CMOS. Through the polarization of electrons, digital information is represented. In comparison to
CMOS technology, it is more attractive because to its size, faster speed, feature, high degree of scalability, greater
switching frequency, and low power consumption. This paper suggests structures of basic logic gates in the QCA
technology. For the aim of verification, the produced circuits aresimulated, and their results are then compared
to those of their published counterparts. The comparison outcomes provide hope for adding the suggested
structures to the collection of QCA gates.
ABSTRACT: In the field of computer science known as "machine learning," a computer makes predictions about
the tasks it will perform next by examining the data that has been given to it. The computer can access data via
interacting with the environment or by using digitalized training sets. In contrast to static programming
algorithms, which require explicit human guidance, machine learning algorithms may learn from data and
generate predictions on their own. Various supervised and unsupervised strategies, including rule-based
techniques, logic-based techniques, instance-based techniques, and stochastic techniques, have been presented in
order to solve problems. Our paper's main goal is to present a comprehensive comparison of various cutting-edge
supervised machine learning techniques.
Abstract: In many fields, such as industry, commerce, government, and education, knowledge discovery and data
mining can be immensely valuable to the subject of Artificial Intelligence. Because of the recent increase in
demand for KDD techniques, such as those used in machine learning, databases, statistics, knowledge acquisition,
data visualisation, and high performance computing, knowledge discovery and data mining have grown in
importance. By employing standard formulas for computational correlations, we hope to create an integrated
technique that can be used to filter web world social information and find parallels between similar tastes of
diverse user information in a variety of settings
Abstract—This paper provides a brief overview of the Intelligent Traffic Management System based on Artificial
Neural Networks (ANN). It is being utilized to enhance the present traffic management system and human resource
reliance. The most basic problem with the current traffic lights is their dependency on humans for their working.
The technologies used in the making of this automated traffic lights are Internet of Things, Machine Learning and
Artificial Intelligence. The basic steps used in Internet of Things are reported along with different ANN trainings.
This ANN model can be used for the minimization of traffic on roads and less waiting time at traffic lights. As a
result, we can make traffic lights more automated which in turn eventually deceases our dependency on human
resources
MANET Mutual Authentication System (IMMAS) provides an implied mutual authentication or all routing and data traffic with in a Mobile Ad-hoc Network (MANET) by combining Elliptic Curve Crypt-ography a public- key crypto-system, with the MANETs Routing Protocol. IMMAS provides security by effectively hiding network topology from adver-saries while reducing the potential for, among other things, traffic analysis and data tampering, all while providing a graceful degradation for each of the authentication components. Current research in MANET's tends to focus primarily on routing issue leaving topics such as security and authentication for future research. IMMAS focuses on achieving a higher level of security with the potential for substantial increases in efficiency of processing power and bandwidth compared to alternative exterior mechanism tacked on after protocol development and Standardization.
Cloud computing makes the dream ofcomputing real as a tool and in the form of service. This internet based ongoing technology which has brought flexibility, capacity and power of processing has realized service- oriented idea and has created a new ecosystem in the computing world with its great power and benefits. Cloud capabilities have been able to move IT industry one step forward. Nowadays, large and famous enterprise has resorted to cloud computing and have transferred their processing and storage to it. Due to popularity and progress of cloud in different organizations, cloud performance evaluation is of special importance and this evaluation can help users make right decisions. In this paper we define the cloud perfor-mance issues which are cause for quality of any cloud or database. In the cloud we can improve the performance by the reducing these issues. We also provide a large view of latency which is a hot topic in the research field for improving the performance of cloud.
This paper considers the waiting of students in colleges at the time of admissions at fee counter as a single-channel queuing system with Poisson arrivals and exponential service rate where service discipline is first come first serve. Queue is a common phenom-enon which has seen usually in colleges at the time of fee submission. Hence queuing theory which is the mathematical study of waiting lines or queue is suitable to be applied in the fee counter because it is associated with queue and waiting line where students who cannot be served immediately have to queue for service
In the present work, a dynamic model is developed for the Multi-effect evaporator (MEE) to study the transient behavior of the system. Each effect in the process is represented by some variables which are related to the energy and material balance equ-ations for the feed, product and liquor flow. Backward feed is used for the development of the model for six effect evaporator system. For the steady state and dynamic simulation, the 'fsolve' and 'ODE45' solvers in MATLAB source code is used respectively.
This paper analyzes a bi-directional DC-DC converter having four active switches for higher transformation ratio. The converter steps up the DC voltage in forward direction and steps down in reverse direction and various modes of operation are possible. To investigate the performance of converter, simulations are performed on MATLAB/ Simpower system platform. To study reverse power flow capability, PMBLDC motor is connected as load andregeneration is carried out.
This paper presents decentralized control scheme for Load Frequency Control in a Power System by appreciating the performance of the methods in a two area hybrid interconnected powersystem. This project analysis is done with the use of Autonmatic Generation Control of Interconnected using Load Frequency control. The Power system whole system is tuned with the help of integral controller to reduce area control error and error in tieline which may cause impr-ovement in the steady state output of inter-connected hybrid system. Load freq-uency control (LFC)including PI controller is proposed in order to suppress frequency deviations for a power system involving gas, hydro and thermal plants owing to load and generating power fluctuations caused by penetration of renewable resources. Restructuring of whole power system is done by dividing it into GENCO, TRANSCO, DISCO and ISO which has been explained in detail in the report. The power generated by the GENCO has to be sold to DISCO at optimum rates. DISCO and GENCO will have contracts within its own area or with intercon-nected area and thus the power is exchanged between their interconnected area according to the contracts scheduled between them.ln this system there are four GENCOs namely, steam, hydro and gas and four DISCO interconnected using bilateral contract and the modeling of the system is done using MAT LAB simulation. It employs Synchronous static series compensator.. The robustness and reliability of the various control schemes is examined through simulations. The significant improvement of optimal transient performance is observed with the addition of a these controllers.
A reduced size slotted rectangular micro strip patch antenna is introduced which exploits RT DUROID 5880 substrate from Rogers-Corp with dielectric constant of 2.2 and thickness of 0.76mm. The proposed antenna uses a finite ground plane with slotted rectangular patch to achieve an excellent impedance matching, high gain, along with operating frequency range of 3.06-3.145GHz and a radiation efficiency of 95.524%. The various simulations are provided to evaluate its performance parameters. This antenna is highly efficient for S-band (3.1-10 GHz) applications.
Due to demand of voice, data and multimedia, the services in telecommunications are increasing day by day. The wireless network providers are facing so many problems and it is difficult to provide cost effective and reliable service to each consumer. To deal with these problems, optical fiber communication system was introduced. But when a signal of combined order is transmitted through optical fiber a large amount of distortion is received. The motivation of this work was non-linearity present in the fiber communication that can be compensated by dispersion. So the higher order study needed typical values of parameters of fiber core radius, length of fiber and power attenuation constant. Moreover the study of higher order dispersion for the fiber optic communication system becomes important.
In the microwave field, Gunn diode oscillators have important role in the development of commutnication systems because of its low noise behavior and medium power. The primary application of Gunn diode is as a local oscillator in microwave receivers. At higher microwave frequencies, transistors cannot generate required low noise power, suitable for receivers. The Gunn diode is two-terminal solid-state negative impedance device, where the real part of the impedance is negative over a range of frequencies. This paper introduces Design Philosophy of high-frequency Gunn Oscillators and discusses the design and implementation steps to produce the oscillator. For example the Waveguide Cavity Gunn Oscillator at 94 GHz frequency, which consists of a packaged Gunn device mounted in WR-IO waveguide, and tuning plunger is used to tune the desired frequency. The matching circuit is a post mounting network and a waveguide — height transformer.
Radio-frequency identification technology, based on the reader/tag paradigm, is quickly permeating several aspects of everyday life. To allow optimum impedance matching with enhanced CP bandwidth, the microstrip feed technique is employed in this design. The design of a simple UHF (ultrahigh frequency) RFID (radio frequency identification) reader antenna that operates within the 900 MHz band (902—928 MHz) is studied. To allow optimum impedance matching with enhanced CP bandwidth, the proposed antenna can also yield an impedance bandwidth (10-dB return loss) from 880 to 1100 MHz, while good CP performances between 901 to 930 MHz are exhibited.
Sign language recognition will be a boost to the hard hearing and deaf people. It is a topic of current research in Computer Science and Engineering field. Deaf people are not able to use the computers and other hand held devices as it is very difficult for them to interact with such devices. So, a lot of research is going on to help them in this area. Either no standard database or no system is available to carry research in this area in India for them. In this research paper we developed a system for hard hearing and physically impaired persons. Here we presented a framework about Indian Sign Language (ISL) with international standards.Planned Outline For Indian Sign Language Recognition
Sign language recognition will be a boost to the hard hearing and deaf people. It is a topic of current research in Computer Science and Engineering field. Deaf people are not able to use the computers and other hand held devices as it is very difficult for them to interact with such devices. So, a lot of research is going on to help them in this area. Either no standard database or no system is available to carry research in this area in India for them. In this research paper we developed a system for hard hearing and physically impaired persons. Here we presented a framework about Indian Sign Language (ISL) with international standards.
MANETs can manage dynamic infrastructure and can stay active rapid changes in the network topology. The one of the key challenges in deploying Mobile Ad-Hoc Networks is routing with scalable and robustness. The objective of this paper is to create of the different mobile ad-hoc routing protocols, and to survey and compare representative examples for every classification of protocols. In this paper we compared three types of routing protocols i.e. pro-active, reactive and hybrid. In order to operate the Ad-hoc Networks as efficiently as possible, appropriate on-demand routing protocols have to be incorporated, to find best effective routes between source to destination. In this paper we provide an overview of a wide range of the existing routing protocols with focused on their characteristics and functionality. This paper focus on the survey of re-active (on-demand), proactive (table-driven) and hybrid routing protocols like AODV, DSDV and ZRP. Further this paper will help the researchers to get an overview of the existing protocols and suggest which protocols may perform better with respect to varying network scenarios.
Bug report is a report which contains the information about the defects in the system or in the software. Generally, bug report contains the issues written by the wide variety of reporters, with different levels of training and knowledge about the system being discussed. Bug tracking systems are made to manage bug reports, which are collected from various sources. These bug reports are needed to be labeled as security bug reports or non security bug reports, since security bug reports (SBRs) contain more risk than non-security bug reports (NSBRs). In this paper we are using Naive Bayes classifier to classify the bug reports. With naive bayes classifier, feature subset selection method such as Gain Ratio is applied to rank the attributes of the dataset. Gain Ratio is utilized as an iterative process where we select smaller sets of features in incremental manner. Result prove that the classification accuracy is high for attributes having high gain ratio and low for attributes having low gain ratio.
More from NIET Journal of Engineering & Technology (NIETJET) (20)
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
Isolation Of Lactic Acid Producing Bacteria And Production Of Lactic Acid From Isolates
1. NIET Journal of Engineering & Technology (NIETJET)
Volume 4, Issue Winter 2015 ISSN: 2229-5828 (Print)
9 | Page
Publisher: Noida Institute of Engineering & Technology,
19, Knowledge Park-II, Institutional Area, Greater Noida (UP), India.
Abstract: Recent research shows that humans respond to music and that music has a significant impact on brain activity.
Every day, the average person listens to up to four hours of music. People usually listen to music that matches their mood
and interests. This project focuses on developing an application that uses facial expressions to propose songs based on the
user's mood. Nonverbal communication takes the form of a facial expression. The Emotion-based music player project is a
revolutionary concept that allows users to automatically play songs based on their feelings. It recognises the user's facial
expressions and plays music that matches their mood. Computer vision is an interdisciplinary tool that allows computers to
analyse digital images or movies at a high level. The computer vision components of this system employ facial expressions to
assess the user's emotion. When an emotion is recognised, the system offers a playlist for that emotion, saving the user time
from having to manually select and play songs.
Keywords – emotion, mood, music, expressions, playlist
1. INTRODUCTION
Music is a major source of entertainment. As technology has advanced, the optimization of manual labour has gained
a lot of attention. Many traditional music players require manual song selection and organisation. Users must take
time to create and update playlists for each mood. More advanced features, such as lyrics and song recommendations
based on the singer or genre, are available on some music players. Music player automation should be improved,
despite the fact that some of these capabilities are entertaining for users. Tracks that are automatically selected and
organised based on the user's mood will provide a better experience. The system accomplishes this by reacting to
the user's emotions, saving time that would otherwise be spent manually entering data.
Gestures, words, and facial expressions are all examples of how emotions can be represented. A user's mood is
determined by their facial expression. Using the camera on the mobile device, we may capture the user's facial
expression. Many emotion recognition systems use images as input to determine what kind of emotion someone is
having. In this application, CML Tracker is being utilised to recognise emotion. The system includes a new
algorithm [EMO-algorithm], which organises songs based on the emotions and preferences of the users. This
algorithm suggests songs to listen to based on people's moods. We've always maintained that music players should
be able to do more than merely play songs and make playlists.
A music player should be clever and respond to the choices of the user. A music player should assist users in
automatically arranging and playing songs without requiring them to spend time picking and reorganising tracks.
The Emotion-Based Music Player gives all music fans a better platform by automating song selection and updating
playlists on a regular basis. This allows users to organise and play music according to their moods. Users should be
able to change songs while on the move, according to the player. There are currently no dedicated apps that
recommend songs based on the emotion of music listeners.
There are also very few non-customizable applications that focus on user preferences and recommendations, such
as All Music. Other apps recommend pre-made (non-user-specific) music playlists. Manual song selection, partially
Shue, and playlist are all aspects of an app similar mood fusion. Some popular music apps, such as Saavn and
Study on an Emotion Based Music Player
Babloo Mishra1
, Aryan Kumar Jain1
, Ashish Kumar Gupta 1
, Ashu Kumar Sharma1
,
Megha Gupta1
1
Department of Computer Science and Engineering, Noida Institute of Engineering and Technology, India
2. NIET Journal of Engineering & Technology (NIETJET)
Volume 4, Issue Winter 2015 ISSN: 2229-5828 (Print)
10 | Page
Publisher: Noida Institute of Engineering & Technology,
19, Knowledge Park-II, Institutional Area, Greater Noida (UP), India.
Spotify, allow users to create and update playlists manually. Rather of providing a spec city to every user, these
apps focus on generic categorisation.
To improve the user experience, a dedicated app that focuses on user choices, priorities, and dynamic playlist
generation is necessary. It should have a user-specific playlist generator that is based on usage, as well as efficient
categorization. Many widely used facial expression classification approaches, such as Viola and Jones, can be used
to collect and determine the user's emotion in the early phase, however these techniques have high processing needs.
Use a cloud-based web service to process computations in the cloud as an alternative. The present technology
recognises emotions using a CML tracker that has assessed emotions from over a million faces. This tracker aids
the programme in detecting and capturing emotion from a photograph. This feeling can then be used to categorise
the playlist of the user. The following are some of the capabilities accessible in existing music players for computer
systems:
i. Manual selection of Songs
ii. Party Shuffle
iii. Playlists
iv. Music squares
For only four basic emotions, the user must manually categorise the music. Passionate, Calm, Joyful, and
Excitement are the four emotions. A user had to search through his playlist and select songs to calm his mood.
Various music players have been developed in today's world, with ever-increasing advancements in the field of
multimedia and technology.
The Emotion Based Music player allows the user to browse through a playlist and choose songs based on his current
mood and behaviour. In order to use the player, the user must first create a profile. The app's functions meet the
user's fundamental needs, but require active participation from the user. The technology will determine the user's
emotions and produce playlists for them depending on those sentiments. Users can also quickly personalise their
playlists using the app.
2. SYSTEM ARCHITECTURE AND DESIGN
The Emotion-Based Music player's system architecture. The application is designed utilising the Model-View-
Controller architectural paradigm. The top layer is where the end-user interacts with the programme via pressing
buttons, using the camera, selecting a radio button, and uploading tunes, among other things.
2.1 Controller: This layer comprises the application's primary functionality as well as the business logic. This
layer processes the answer as soon as the user interacts with the application. This layer contains all run-in
background functions, such as log-in and playlist display. This mostly comprises of all of the functions and the
EMO-algorithm (described in later parts) that aid in the separation of songs and the transmission of output to the
view layer.
2.2 Model: This layer is in charge of keeping track of the user's information. MySQL is used to store user data in
the Emotion-Based Music Player. MySQL is useful for keeping track of user profiles and preferences. The feasibility
study is conducted to see whether the project will meet the organization's goals in terms of work, effort, and time
when completed. A feasibility study allows the developer to envision the project's future and utility. A feasibility
study of a system proposal is based on its workability, which is defined as the impact on the organisation and ability
to meet user needs. The document outlines the project's viability and details the different aspects that were
considered. It includes technical, economic, and operational feasibilities.
2.3 Feasibility: An inquiry must recommend the type of equipment, process for building the system, and method
for operating the system. Is the current technology adequate for the proposed solution? What are some of the
technical questions that were highlighted during an investigation by the BBC's Technical Analysis Unit (TAU)?
Is it feasible for the system to improve and grow?
3. NIET Journal of Engineering & Technology (NIETJET)
Volume 4, Issue Winter 2015 ISSN: 2229-5828 (Print)
11 | Page
Publisher: Noida Institute of Engineering & Technology,
19, Knowledge Park-II, Institutional Area, Greater Noida (UP), India.
The technology may become obsolete over time, yet the system can still be used because no newer versions of the
same programme are compatible with previous versions. The project is technically feasible because the system was
built utilising web technology.
2.4 Economic Feasibility:
The cost and utility of the emerging system must be justified. Criteria to ensuring that effort is focused on the project
that will yield the best results as soon as possible. The cost of developing a new system is one of the elements that
influences its development. During the preliminary investigation, the following were some of the most critical
financial questions asked:
• The costs include the cost of doing a full system analysis, as well as the cost of hardware and software.
• The benefits come in the form of lower costs or less costly errors.
• There are no manual costs associated with the suggested system because it was developed as part of a project.
Furthermore, all of the resources are already in place, indicating that the system can be developed economically.
3. TESTING AND EVALUATIONS
3.1 Test Techniques and Test Strategies
The controlled execution of software to answer the question, "Does the software work as expected?" is known as
software testing. When it comes to software testing, the terms verification and validation are frequently used.
Validation is the process of checking or testing products, such as software, to ensure that they comply with a set of
requirements. Software testing employs verification processes such as reviews, analyses, inspections, and
walkthroughs. Validation is the process of ascertaining that the user's request has been met.
Validation: Are we doing the right job?
Verification: Are we doing the job right?
Software testing should not be mistaken with debugging. Debugging is the process of assessing and discovering
flaws in software when it fails to perform as planned. While playing with the software may disclose some flaws, a
systematic approach to software testing is a much more thorough technique of finding vulnerabilities. As a result,
debugging is a complementary but not a replacement for testing. Two further procedures that are typically associated
with software testing are static and dynamic analysis.
Nothing is complete without testing. Testing is a set of tasks that can be organised and carried out in a logical and
orderly manner. Static analysis examines the source code of software without running it, looking for faults and
calculating metrics. Dynamic analysis looks at how software behaves while it's operating in order to provide
information like execution traces and test coverage.
3.2 UNIT TESTING
Unit testing is done on the software component or module, which is the smallest unit of software design. The
important control routes are validated using the component-level design description as a reference to find flaws
within the module's border. Unit testing is defined by the relative complexity of tests and the scope that is left
unexamined. Unit testing is white-box in nature, which implies that it may test numerous components at once. Unit
testing is done on the software component or module, which is the smallest unit of software design. The important
control routes are validated using the component-level design description as a reference to find flaws within the
module's border. Unit testing is defined by the relative complexity of tests and the scope that is left unexamined.
Unit testing is white-box in nature, which implies that it may test numerous components at once.
3.3 INTEGRATION TESTING
Integration testing is a technique for constructing a program's structure while also checking for interface concerns.
The goal is to create a design-driven programme structure based on unit-tested components. The programme as a
whole is put to the test. Correction is difficult due to the program's vast scope, which makes it tough to isolate
causes. As soon as these flaws are repaired, other ones surface, and the cycle appears to continue eternally. After
unit testing in the Sell-Soft System to check for any interface conflicts, all ofthe modules were merged. Furthermore,
differences in programme designs were eliminated, resulting in a single programme structure.
4. NIET Journal of Engineering & Technology (NIETJET)
Volume 4, Issue Winter 2015 ISSN: 2229-5828 (Print)
12 | Page
Publisher: Noida Institute of Engineering & Technology,
19, Knowledge Park-II, Institutional Area, Greater Noida (UP), India.
3.4 VALIDATION TESTING OR SYSTEM TESTING
This is the last phase in the testing process. All forms, code, modules, and class modules were used to test the entire
system. This type of testing is commonly referred to as Black Box or System testing. The Black Box testing method
focuses on the software's functional requirements. Black Box testing allows a software engineer to create sets of
input conditions that completely exercise all of a program's functional requirements. Black Box testing looks for
defects in the following areas: erroneous or missing functions, interface errors, data structure or external data access
errors, performance errors, initialization and termination errors, and performance errors.
4. VALIDATION CHECKING
To produce a high-quality product, diagrams and typography must be computer-drafted or hand-drawn using India
ink. Figure captions are in lower case letters and appear below the figure, flush left. A figure in the body of the text
is referred to by the abbreviation "Fig." When numbering the figures, keep in mind the sequence in which they
appear in the text. Table captions are centred above the table in upper- and lower-case letters. No abbreviation is
used in the text when referring to a table, and "Table" is capitalised.
5. CONCLUSION
The Emotion-Based Music Player automates and improves the end-music user's player experience. The app satisfies
music listeners' basic needs without troubling them in the way that other apps do: it makes use of technology to
increase the system's relationship with the user in a variety of ways. By using a camera to capture the image,
analysing their mood, and providing a customised playlist through a more complex and interactive system, it makes
the end-job user's easier. The user will be notified of songs that are not being played in order to save storage space.
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[2]. Hernandez, S. P., Bulitko, V., & Hilaire, E. S. (2014, September). Emotion-based interactive storytelling with
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[3]. Han, B. J., Rho, S., Jun, S., & Hwang, E. (2010). Music emotion classification and context-based music
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