Evaluation of Women Protection using Machine Learning

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Bindu M ◽  
Chandini JV ◽  
Kavitha N ◽  
Kola Prem Kumar ◽  
Vivek Sharma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Main Idea ◽  
Important Resource ◽  
The People ◽  
The World ◽  
Audio Video ◽  
Indian Cities

In this era, as we know there are various preceding cases in the world regarding women harassment which is starting from stalking leading to abusive harassments such as acid attacks, rape cases, obscenity, pornography etc. With such issues, an analysis of women safety in Indian cities has been proposed using Machine Learning on Tweets. The Sentimental Analysis is taken as the main idea and is performed through machine learning, taking an input from tweets to ensure safety. This sentimental analysis on tweets helps in creating awareness among people. As we know Twitter and Instagram are responsible to spread information far and wide among the people across the globe, this helps the women in expressing her feelings to the world. We have taken Twitter as an important resource because it provides text, audio, video message and are easy to handle. This can help our research to overcome the sentiments of people around us.

Southeast Asian Muslim Washathyyah in the Global Era

2015 ◽  
Vol 4 (1) ◽  
pp. 137-154
Author(s):  
Syahrin Harahap
Keyword(s):  
Southeast Asia ◽  
Significant Contribution ◽  
Main Idea ◽  
Global Village ◽  
Global Era ◽  
The People ◽  
The World ◽  
Huge Impact ◽  
Religious Aspects ◽  
The Universe

Globalization in the world has given the huge impact on the people, as the new condition of the world has brought the world to the globalism- a consciousness and understanding that the world is one. Globalization has also unified the people in a global village that covers all aspects of life such as economic, political, cultural, religious aspects. This paper will explore the concept of wa¡a¯iyyah which stresses on the moderation and accommodative way and its implementation in Southeast Asia. The main idea of the wa¡a¯iyyah or moderation in religious life is that it offers the importance of realizing the concept of Islamic blessing for all the Universe (Islam; Ra¥matan lil ±lam³n). Therefore, the main offer of the Muslim wa¡a¯iyyah movement is to focus on developing civilization, freedom, justice, prosperity and better future for all the people. It is the main capital of the Wa¡a¯iyyah in Southeast Asia to give the significant contribution to the globalization of the world.

scholarly journals Public Trolling Detection on Twitter Using Machine Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 3097-3100
Author(s):  
Miss. Pooja Dilip Dhotre
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Machine Learning Algorithms ◽  
The People ◽  
The World ◽  
Added Benefit ◽  
Current Popularity

Social media websites are among the internet's most far-reaching digital sites. Billions of social network users exist Users' frequent interactions with social networking sites, like Twitter, have a widespread and sometimes unfortunate effect on day-to-day life. Social networking sites make it easy for large amounts of unwanted and unrelated information to spread around the world. Twitter is a popular micro blogging service where users connect with others with similar interests. Because of the current popularity of Twitter, it is vulnerable to public shaming. Recently, Twitter has emerged as a rich source of human-generated information, with the added benefit of connecting you with customers and enabling two-way communication. It is generally accepted that when someone posts a comment in an occurrence, it is likely to humiliate the victim. The fact that shaming users' follower counts increase faster than that of the people who don't use shame is interesting. Using machine learning algorithms, users will be able to identify disrespectful words, as well as the overall negativity of those words, which is displayed in a percentage.

scholarly journals Smart Hand Glove for Hearing and Speech Impaired

2021 ◽  
Vol 9 (8) ◽  
pp. 978-984
Author(s):  
Basil Jose
Keyword(s):  
Machine Learning ◽  
American Sign Language ◽  
Sign Language ◽  
Mechanical Strain ◽  
Svm Classifier ◽  
Strain Effect ◽  
The People ◽  
Basic Set ◽  
The World ◽  
Flex Sensors

Abstract: With the advancement of technology, we can implement a variety of ideas to serve mankind in numerous ways. Inspired by this, we have developed a smart hand glove system which will be able to help the people having hearing and speech disabilities. In the world of sound, for those without it, sign language is a powerful tool to make their voices heard. The American Sign Language (ASL) is the most frequently used sign language in the world, with some differences depending on the nation. We created a wearable wireless gesture decoder module in this project that can transform the basic set of ASL motions into alphabets and sentences. Our project utilizes a glove that houses a series of flex sensors on the metacarpal and interphalange joints of the fingers to detect the bending of fingers, through piezoresistive (change in electrical resistance when the semiconductor or metal is subjected to mechanical strain) effect. The glove is attached with an accelerometer as well, that helps to detect the hand movements. Simple classification algorithms from machine learning are then applied to translate the gestures into alphabets or words. Keywords: Arduino; MPU6050; Flex sensor; Machine learning; SVM classifier

A novel work on analyzing Stress and Depression level of Indian population during COVID-19

2020 ◽  
Vol 13 ◽  
Author(s):  
Amit Kumar Gupta ◽  
Priya Mathur ◽  
Shruti Bijawat ◽  
Abhishek Dadhich
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Age Groups ◽  
Multiple Linear Regression Model ◽  
Learning Model ◽  
The People ◽  
Machine Learning Model ◽  
The World ◽  
Depression Level ◽  
Detection Of Stress

Objective: The world is facing the pandemic situation of COVID-19 which leads to a large level of stress and depression on mankind as well on society. Static measurements can be conducted for early identification of the stress and depression level and diagnose or preventing from the effect of these conditions. Several studies have been carried out in this regard. The Machine learning model is the best way to predict the level of stress and depression of humankind by statistically analyzing the behavior of humankind which helps to the early detection of stress and depression. This helps to prevent society from psychological pressures from any disaster like COVID-19. The COVID-19 pandemic is one of the public health emergencies which are of great international concern. It imposes a great physiological burden and challenges on the population of the country facing the disaster caused by this disease. Methods: In this paper, the authors have surveyed by defining some questionnaires related to depression and stress and used the machine learning approach to predict the stress and depression level of humankind in the situation COVID19The data sets are analyzed using the Multiple Linear Regression Model. The predicted score of stress and depression is mapped into DASS-21. The predictions have been made over different age groups, gender, and categories. The Machine learning model is the best way to predict the level of stress and depression of humankind by statistically analyzing the behavior of humankind which helps the early detection of stress and depression. Results: Females are more stressed and depressed than males. The people who are 45+ years age are more stressed and depressed. The male and female students are more stressed and depressed. The overall analysis said that the peoples of India are stressed and depressed at the level of “Serve” due to COVID-19. This can because of a student’s career concerning their study and examination. The females who feel so much burden of business as well as their salary. The aged people are depressed due to COVID-19 disaster. Conclusion: This research given very big support to understand our objectives. We have also implemented our analysis of data based on DASS-21 parameters defined for the Anxiety, Depression, and stress at the world level. By the analysis defined in section 5 we conclude that the people of India are more stressed and depressed at the level of "Serve" due to COVID-19.

scholarly journals THE IMPLEMENTATION OF JEAN MONNET PROJECT ACTIVITIES IN PANDEMIC CONDITIONS: PAINS AND GAINS

2021 ◽  
Author(s):  
Ljubica Kordić
Keyword(s):  
European Commission ◽  
Online Teaching ◽  
Main Idea ◽  
Professional Lives ◽  
Eu Law ◽  
Teaching Activities ◽  
Face To Face ◽  
The People ◽  
The World ◽  
The Republic

The Faculty of Law Osijek, Josip Juraj Strossmayer University of Osijek, has been granted in the year 2020 a financial support by the European Commission in implementation of the Jean Monnet Module No. 620231-EPP-1-2020-1-HR-EPPJMO-MODULE titled ''Jean Monnet Module Language and EU Law Excellence'', Decision No 620231 of September 15, 2020. The project has been elected for financing by the European Commission among almost 1500 project applications from the whole world. Three projects from the Republic of Croatia have been accepted, one of them being the “Language and EU Law Excellence'' (LEULEX) project. The project beneficiary is Josip Juraj Strossmayer University of Osijek, and the project holder is the Faculty of Law Osijek. The implementation of the project has started in September 2020 and it will last until September 14, 2023. As the project encompasses teaching activities, events and workshops that were initially planned to be delivered in face-to-face form, the implementation of the project in conditions of the world pandemic of Covid-19 virus has become very challenging and needed adapting of all stakeholders to new conditions. The main goal of this paper is to present the ways, solutions and answers that were offered to these unexpected challenges and to explore how the participants in the project perceive the teaching activities within the project conducted by means of online platforms and tools with reference to improvements achieved in their knowledge and skills within the respective project activity. The method used in the research is a survey administered online among the participants of the Jean Monnet Project LEULEX. In the introductory part of the paper, the author, who is a coordinator and a contact person of the project, presents the Jean Monnet Module LEULEX and defines its main idea, goals and the planned outcomes of the project. The main part of the paper is dedicated to description of the implementation of the project that was adapted to the new Covid-19 pandemic situation. The results of the survey conducted among the project participants relating to implementation of online teaching tools, platforms, and technologies are discussed and analysed with reference to the outcomes of the project. In the closing part to the paper, conclusions are drawn on benefits and shortcomings of the changed approach to implementation of the project activities in the conditions of the Covid-19 pandemic, which has strongly influenced private and professional lives of the people all around the world.

scholarly journals Cureskin - Skin Disease Prediction using MobileNet Model

2020 ◽  
pp. 32-37
Author(s):  
N. Divya ◽  
Deepthi P Dsouza ◽  
Hariprasad
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Environmental Factors ◽  
Skin Disease ◽  
Skin Diseases ◽  
Disease Prediction ◽  
Android Application ◽  
The People ◽  
The World ◽  
Financial Issues

Skin diseases are getting more common than any other disease in the world. Due to lack of personal care and different environmental factors many of the people are suffering from skin diseases. It may have caused because of infection, allergy, bacteria or viruses, etc. Not every patient has the facility to go to the doctor for primary consultation based on the financial issues. To overcome this problem we developed an android application which helps the patients in diagnosing the disease easily at home. There are several methods or algorithms in machine learning to make this process easier. We proposed an approach to skin disease prediction using MobileNet model which is a part of Convolutional Neural Networks (CNN). In total there are six diseases namely acne, actinic, psoriasis, tinea ringworm, eczema and seborrhoea. Our model is pre-trained by feeding thousands of images also including images which are not diseased and also which do not comes under skin. Our approach is simple, fast and inexpensive and does not require huge equipment for the diagnosis. It is found that MobileNet model gives best accuracy.

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

Universal Values and Muslim Democracy

2020 ◽  
Vol 9 (1) ◽  
pp. 1-7
Author(s):  
Anwar Ibrahim
Keyword(s):  
New York ◽  
Muslim World ◽  
World Today ◽  
The People ◽  
The World ◽  
Universal Values ◽  
Human Desire ◽  
Dignified Life

This study deals with Universal Values and Muslim Democracy. This essay draws upon speeches that he gave at the New York Democ- racy Forum in December 2005 and the Assembly of the World Movement for Democracy in Istanbul in April 2006. The emergence of Muslim democracies is something significant and worthy of our attention. Yet with the clear exceptions of Indonesia and Turkey, the Muslim world today is a place where autocracies and dictatorships of various shades and degrees continue their parasitic hold on the people, gnawing away at their newfound freedoms. It concludes that the human desire to be free and to lead a dignified life is universal. So is the abhorrence of despotism and oppression. These are passions that motivate not only Muslims but people from all civilizations.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

Peacebuilding requirements in post-conflict societies

2020 ◽  
pp. 249
Author(s):  
Zyad Samir Al-Dabagh
Keyword(s):  
Major Obstacle ◽  
Normal Life ◽  
Post Conflict ◽  
The People ◽  
The World

The process of building peace and laying its foundations within the societies of the world, especially those newly emerging from the stage of conflict, are among the important and indispensable matters. Without peace, opportunities diminish in obtaining the essentials of a safe and normal life, and without peace, societies cannot It works and advances towards a better future. However, peacebuilding operations in many societies emerging from conflict or those in which they live may face a set of challenges and obstacles that constitute a major obstacle to them, which necessitates searching for the best ways and means by which these obstacles can be addressed in order to build a real and effective peace that is reflected Positively on the people of those societies.

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