scholarly journals Sorting of Civic Issues using Machine Learning with Image Processing

Author(s):  
Shubham Naphade ◽  
Sumit Jare ◽  
Rohan Chavan ◽  
Nayan Nawale ◽  
Dr. Shwetambari Chiwhane

In our day to day life there are several civic issues which are being faced by each& every person in the world.& if we take countries just like India or any other country where population is too much, in such countries there are several civic issues which are faced by each citizen in such countries. Larger the country larger the issues, because there are several complaints regarding a single issue. If we take just an example out of those like street damages, garbage management problems (garbage bin over owing), Electricity problem, Water problem etc. For that there is a system also available in such countries but problem is just like that it’s time consuming. If any one of us go to register complaint into the municipality then they will register our complaint, after registration there are several days required to solve their civic issues of each individual person who are residing at that place. So, from this project we are just reducing the time of the process from both sides, i.e. if any one of the persons sees that garbage or can say that potholes on the road but he / she neglect that& move on, just because of they think that when will we go to the municipality & when they will register complaint against it. Nobody has a time in today’s 21stcentury. There is another kind of people also present in respective countries, they are very sciatic who really wants to act regarding such as garbage wasting or any other issues. They register their complaint but they don’t know the status of their complaint, just because of that they leave from that topic & easily move on. So, this is just an effort for finding remedy for all above mentioned issues.

Author(s):  
Mounica B ◽  
Nithya B S ◽  
Rakshitha N ◽  
Sirisha M

The vehicle traffic on the road is increasing progressively and managing such traffic on the roads are not stable by conventional method. To remove this traffic issue, we develop a project using machine learning in which we train the testing model as well as trained model of extracted traffic features. Extracted information from image sequences of testing model can give us real information to create the database which is the captured images like accident, foggy places, collision of the vehicles, traffic signal, no traffic jam, treefall etc. Choose any traffic image from the testing model, process and analyze the traffic image and the traffic image which was taken from the testing model is compared with the trained model of traffic images to determine the cause of the traffic. Image processing will be done to determine the cause of the traffic. This project is utilizing image processing methods designed to analyze and determine the cause of the traffic with the accuracy of the traffic caused. Thus, by using this project we can avoid the traffic and the time being wasted.


2021 ◽  
Vol 12 (1) ◽  
pp. 131-146
Author(s):  
Nidhi Sindhwani ◽  
Shekhar Verma ◽  
Tushar Bajaj ◽  
Rohit Anand

Bad road conditions are one of the main causes of road accidents around the world. These kinds of accidents prove to be fatal as many lives are lost in these accidents that are mainly caused by potholes or distress on surface of roads. This paper suggests a system that will not only help in reducing the chances of these accidents by making the driver aware of the upcoming distress/potholes on the road but also saving the location of these potholes which can be sent to respective authorities so that they can be repaired. The authors have used technologies like image processing, computer vision, deep learning, and internet of things (IoT) to make this happen. It uses a camera mounted in front near windshield that will capture the images which will be further be processed to get the location of the potholes and distress on road. These detected potholes can be projected on a heads-up display (HUD) placed near windshield which will notify the driver of the potholes.


2019 ◽  
Vol 1 (2) ◽  
pp. 11-18
Author(s):  
V Sowndharya ◽  
Hebziba Jeba Rani S ◽  
Susmitha D

In today’s era one of the most common problems which the world is facing is an exponential increase in population. This has indirectly increased a lot of other issues; one of them being the quantity of vehicles on the road. The increased number of vehicles results in shortage of parking areas. This project aims to present an intelligent parking system for vehicles that identifies the parking slot automatically through sensors and displays it without making the drivers to circle around the parking area. The availability of parking slots will be displayed to the drivers at the  entrance.  It also captures the number plate of vehicles by using camera and recognises the number using image processing and stores it in the server at the entrance and also at the exit of parking area for ease of payment purposes. All the information’s will be simultaneously updated in the IoT server and can be used for future use. It is found that the system decreases the manual work and provides high efficiency and high accuracy.


2014 ◽  
Vol 6 (01) ◽  
Author(s):  
JAVED ALAM SHEIKH

Almost 50 per cent of the world population is constituted by the women and they have been making substantial contribution to socio-economic development. But, unfortunately their tremendous contribution remains unrecognized and unnoticed in most of the developing and least developed countries causing the problem of poverty among them. Empowering women has become the key element in the development of an economy. With women moving forward, the family moves, the village moves and the nation moves. Hence, improving the status of women by way of their economic empowerment is highly called for. Entrepreneurship is a key tool for the economic empowerment of women around the world for alleviating poverty. Entrepreneurship is now widely recognized as a tool of economic development in India also. In this paper I have tried to discuss the reasons and role of Women Entrepreneurship with the help of Push and Pull factors. In the last I have also discussed the problems and the road map of Women Entrepreneurs development in India.


2015 ◽  
Vol 5 (1) ◽  
pp. 133-149
Author(s):  
Juhan Värk

AbstractOn 15 November 2012, at the plenary session of the Central Committee of the Communist Party of China, Xi Jinping was elected the Party' general secretary, whereas he also became the chairman of the influential Central Military Commission. Too eager to wait to be inaugurated as President of the People' Republic of China in March 2013, the new national leader announced that in the following decade he is guided by the main objective of his predecessor Hu Jintao to double the prosperity of the people by the year 2020 and to keep the country' economy stable and growing fast. Unfortunately, it will be difficult for the new leader of China to implement his intentions, since, presumably, the country' new leadership will be from the older generation, hardliners, and, most importantly, politically conservative. But the difficulties lie in carrying out economic reforms because of rampant corruption and shadow banking in the central apparatus and in regions.According to the World Bank' analysis, China has become the world' largest economy. But the large expenditures to military reform and environmental protection are not sufficient for Xi Jinping to accomplish the goal to raise significantly the poor living standards of Chinese people. China has also faced difficulties in complying with the basic principles of its foreign policy, especially after the annexation of Crimea and its incorporation into the Russian Federation by China' strategic partner, Russia. In the past, China has carried out campaigns against “Americanization”, although with no tangible results. Thus, the leaders of today' China are faced with a number of dilemmas.


2021 ◽  
Author(s):  
Henk-Jan Dekker

In an effort to fight climate change, many cities try to boost their cycling levels. They often look towards the Dutch for guidance. However, historians have only begun to uncover how and why the Netherlands became the premier cycling country of the world. Why were Dutch cyclists so successful in their fight for a place on the road? Cycling Pathways: The Politics and Governance of Dutch Cycling Infrastructure, 1920-2020 explores the long political struggle that culminated in today’s high cycling levels. Delving into the archives, it uncovers the important role of social movements and shows in detail how these interacted with national, provincial, and urban engineers and policymakers to govern the distribution of road space and construction of cycling infrastructure. It discusses a wide range of topics, ranging from activists to engineering committees, from urban commuters to recreational cyclists and from the early 1900s to today in order to uncover the long and all-but-forgotten history of Dutch cycling governance.


2021 ◽  
Vol 46 (2) ◽  
pp. 11-25
Author(s):  
Jolanta Brzykcy

The article is an analysis of the poetry of Gisella Lachman (1895–1969), poet of the “first wave” of Russian emigration, from the perspective of the poetics of space. The poet expressed her emigration experience (multiple changes of residence: Russia, Germany, Switzerland, USA) in her poems in spatial relations. They appear on different levels of the works’ morphology: in the construction of the lyrical “I”, in the organisation of the presented world, in the repertoire of motifs and the selection of poetic lexis and genre forms. Space plays a literal role in Lachman’s poetry; it is a representation of extra-literary reality, seen subjectively. It is also subject to metaphorisation, becoming a tool for expressing philosophical content. The poet creates not only a spatial model of the world, but also a spatial model of human life, which she perceives as a transit on the road to eternity.


2021 ◽  
Vol 7 (1) ◽  
pp. 156-172
Author(s):  
Iulianna Lupasco ◽  

Intellectual property behind the scenery of clinical research present a very special issue in scientific field presenting a deep underestimation of the main precious production of scientific researchers – production of mind, intellect, knowledge, clinical practice and research. In this article are highlighted main questions the young researches and not only young ones face while generating ideas, developing into nice projects. In this topic are discussed the main types of intellectual property in clinical research with a short introduction how the law protects them on a national level and why intellectual property is important for every clinical scientist. The literature review is closely intertwined with our own observations over the years in terms of intellectual property. Finally, the main benefits of intellectual property protection for clinical researchers will be presented empowering with new contacts and scientific innovation leaders from other places of the world.


Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.


Hawwa ◽  
2021 ◽  
pp. 1-59
Author(s):  
Joy A. Land

Abstract Based on rarely viewed images from the fin de siècle, this article will contribute to the burgeoning field of Jewish women in the world of Islam. At the Alliance Israélite Universelle (AIU) School for Girls in the city of Tunis, 1882–1914, after a seven-year course of study, Jewish and non-Jewish girls acquired certification of their academic or vocational skills through a certificate or diploma of couture. Such credentials, according to Bourdieu (1986), constitute “cultural capital.” Furthermore, “cultural capital … is convertible … into economic capital and may be institutionalized in the forms of educational qualifications.” A young woman could create cultural capital and transform it into economic capital through employment. Reading the sources, the influence of the Tunisian Muslim woman on the Jewess becomes apparent. Moreover, cultural capital could afford the Jewish female wage earner increased economic independence and social mobility, as she journeyed on the road to modernity.


Sign in / Sign up

Export Citation Format

Share Document