This document summarizes a research paper that proposes a new type of "Social-aware Ridesharing Group" queries to help overcome barriers to ridesharing like social discomfort and safety concerns when traveling with strangers. The proposed queries would retrieve ridesharing groups by considering users' social connections from networks like Facebook as well as their physical proximity. The document provides background on challenges with private car ownership and outlines existing research on static and dynamic ridesharing models. It proposes using social network analysis and graph theory to measure social cohesiveness and trip matching within automatically formed ridesharing groups.
A Distributed Optimized Approach based on the Multi Agent Concept for the Imp...CSCJournals
Thanks to the important and increasing growth of the carpooling phenomenon throughout the world, many researchers have particularly focused their efforts on this concept. Most of the existent systems present multiple drawbacks regarding automation, functionalities, accessibility, etc. Besides, only few researchers focused on real time carpooling concept without producing promising results. To address these gaps, we introduce a novel approach called DOMARTiC: a Distributed Optimized approach based on the Multi-Agent concept for the implementation of a Real Time Carpooling service. We particularly focus on the distributed and dynamic aspect not only within the geographical network’s representation but also regarding the used automatic tools and the implementing algorithms. Adequate modeling on the base of which a distributed architecture is set up has been adopted helping to perform decentralized parallel process. This helped to take into consideration different aspects we should be involved in, especially the optimization issue as users\' requests must be performed in a reasonable runtime. Responses provided to users should also be efficient with regards to the fixed optimization criteria.
This document presents three visions for sustainable public transportation in the future created by MIT and Cisco for the cities of Amsterdam, Seoul, and San Francisco. The visions are set 5-10 years in the future and explore how technologies like ICT and social networking can enhance public transportation services to increase ridership. Specific scenarios presented for Amsterdam include a personalized bus that provides customized travel recommendations and coordinates pickups using real-time data and GPS.
A Framework for Policy Crowdsourcing - Oxford IPP 2014Araz Taeihagh
Can Crowdsourcing be used for policy? Previous work posits that the three types of Crowdsourcing have different levels of potential usefulness when applied to the various stages of the policy cycle. In this paper, we build upon this exploratory work by categorizing the extant research with respect to Crowdsourcing for the policy cycle. Premised upon our analysis, we thereafter discuss the trends, highlight the gaps, and suggest some approaches to empirically validate the application of Crowdsourcing to the policy cycle.
Citizens and businesses have many different ways of contacting municipalities for services, and many municipalities allow customers to use email as a contact channel. However many municipalities often find that they have difficulties in managing the email channel, with customers contacting a range of official and unofficial email addresses, and have difficulties in measuring how successful/efficient/appropriate email is for service delivery and as a point of customer contact.
This report illustrates how the municipality of Groningen has transformed its email handling methods and processes in the context of a wider multi-channel strategy to deliver better and more effective services to its citizens.
This report provides an overview of best practices in the use and handling of email by municipalities, shares lessons from Groningen’s experience in transforming email handling through a case study, and gives an insight into the complexities and uses of the email channel. A glossary and links to further reading and resources are also included.
Crowdsourcing sites like MTurk, Elance-Odesk (Upwork), CrowdFlower, and Airbnb have become significantly important for small businesses and entrepreneurs by providing new opportunities. These sites fall into three categories: recirculation of goods through sites like eBay, optimizing use of underused assets through sites like Airbnb, and peer-to-peer production and services through various freelancing sites. While crowdsourcing creates opportunities, it also presents concerns around competition and protecting workers' rights that must be addressed.
Crowdsourcing, Sharing Economies and DevelopmentAraz Taeihagh
What are the similarities and differences between crowdsourcing and sharing economy? What factors influence their use in developing countries? In light of recent developments in the use of IT-mediated technologies, such as crowdsourcing and the sharing economy, this manuscript examines their similarities and differences, and the challenges regarding their effective use in developing countries. We first examine each individually and highlight different forms of each IT-mediated technology. Given that crowdsourcing and sharing economy share aspects such as the use of IT, a reliance on crowds, monetary exchange, and the use of reputation systems, we systematically compare the similarities and differences of different types of crowdsourcing with the sharing economy, thus addressing a gap in the current literature. Using this knowledge, we examine the different challenges faced by developing countries when using crowdsourcing and the sharing economy, and highlight the differences in the applicability of these IT-mediated technologies when faced with specific development issues.
CORSA: An Open Solution for Social Oriented Real-time Ride SharingGreenapps&web
Simone Bonarrigo, Vincenza Carchiolo, Alessandro Longheu, Mark Philips Loria, Michele Malgeri and Giuseppe Mangioni
The combination of the interest in environmental questions on one hand and the massive use of web based social networks on the other recently led to a revival of carpooling. In particular, the exploitation of social networks promotes the information spreading for an effective service (e.g. reducing the lack of confidence among users) and endorses carpooling companies via viral marketing, finally acting as a basis for trust based users recommendation system In this work we outline CORSA, an open source solution for a real time ride sharing (RTRS) carpooling service that endorses the role of social networks by using them as a conveying scenario for the virtual credits reward mechanism CORSA is based on.
A Survey Paper on Ride-Sharing ApplicationIRJET Journal
This document describes a proposed carpooling web application that would connect drivers with available seats to passengers seeking rides. It discusses the objectives of optimizing transportation resources and reducing traffic and emissions. The proposed application would allow users to create profiles, drivers to list trips with details, and passengers to search for and request rides. Drivers and passengers could rate each other after trips. The document outlines requirements gathering, design, development, testing, deployment and maintenance steps for the application. It proposes using Node.js, React, and MongoDB with an MVC architecture.
A Distributed Optimized Approach based on the Multi Agent Concept for the Imp...CSCJournals
Thanks to the important and increasing growth of the carpooling phenomenon throughout the world, many researchers have particularly focused their efforts on this concept. Most of the existent systems present multiple drawbacks regarding automation, functionalities, accessibility, etc. Besides, only few researchers focused on real time carpooling concept without producing promising results. To address these gaps, we introduce a novel approach called DOMARTiC: a Distributed Optimized approach based on the Multi-Agent concept for the implementation of a Real Time Carpooling service. We particularly focus on the distributed and dynamic aspect not only within the geographical network’s representation but also regarding the used automatic tools and the implementing algorithms. Adequate modeling on the base of which a distributed architecture is set up has been adopted helping to perform decentralized parallel process. This helped to take into consideration different aspects we should be involved in, especially the optimization issue as users\' requests must be performed in a reasonable runtime. Responses provided to users should also be efficient with regards to the fixed optimization criteria.
This document presents three visions for sustainable public transportation in the future created by MIT and Cisco for the cities of Amsterdam, Seoul, and San Francisco. The visions are set 5-10 years in the future and explore how technologies like ICT and social networking can enhance public transportation services to increase ridership. Specific scenarios presented for Amsterdam include a personalized bus that provides customized travel recommendations and coordinates pickups using real-time data and GPS.
A Framework for Policy Crowdsourcing - Oxford IPP 2014Araz Taeihagh
Can Crowdsourcing be used for policy? Previous work posits that the three types of Crowdsourcing have different levels of potential usefulness when applied to the various stages of the policy cycle. In this paper, we build upon this exploratory work by categorizing the extant research with respect to Crowdsourcing for the policy cycle. Premised upon our analysis, we thereafter discuss the trends, highlight the gaps, and suggest some approaches to empirically validate the application of Crowdsourcing to the policy cycle.
Citizens and businesses have many different ways of contacting municipalities for services, and many municipalities allow customers to use email as a contact channel. However many municipalities often find that they have difficulties in managing the email channel, with customers contacting a range of official and unofficial email addresses, and have difficulties in measuring how successful/efficient/appropriate email is for service delivery and as a point of customer contact.
This report illustrates how the municipality of Groningen has transformed its email handling methods and processes in the context of a wider multi-channel strategy to deliver better and more effective services to its citizens.
This report provides an overview of best practices in the use and handling of email by municipalities, shares lessons from Groningen’s experience in transforming email handling through a case study, and gives an insight into the complexities and uses of the email channel. A glossary and links to further reading and resources are also included.
Crowdsourcing sites like MTurk, Elance-Odesk (Upwork), CrowdFlower, and Airbnb have become significantly important for small businesses and entrepreneurs by providing new opportunities. These sites fall into three categories: recirculation of goods through sites like eBay, optimizing use of underused assets through sites like Airbnb, and peer-to-peer production and services through various freelancing sites. While crowdsourcing creates opportunities, it also presents concerns around competition and protecting workers' rights that must be addressed.
Crowdsourcing, Sharing Economies and DevelopmentAraz Taeihagh
What are the similarities and differences between crowdsourcing and sharing economy? What factors influence their use in developing countries? In light of recent developments in the use of IT-mediated technologies, such as crowdsourcing and the sharing economy, this manuscript examines their similarities and differences, and the challenges regarding their effective use in developing countries. We first examine each individually and highlight different forms of each IT-mediated technology. Given that crowdsourcing and sharing economy share aspects such as the use of IT, a reliance on crowds, monetary exchange, and the use of reputation systems, we systematically compare the similarities and differences of different types of crowdsourcing with the sharing economy, thus addressing a gap in the current literature. Using this knowledge, we examine the different challenges faced by developing countries when using crowdsourcing and the sharing economy, and highlight the differences in the applicability of these IT-mediated technologies when faced with specific development issues.
CORSA: An Open Solution for Social Oriented Real-time Ride SharingGreenapps&web
Simone Bonarrigo, Vincenza Carchiolo, Alessandro Longheu, Mark Philips Loria, Michele Malgeri and Giuseppe Mangioni
The combination of the interest in environmental questions on one hand and the massive use of web based social networks on the other recently led to a revival of carpooling. In particular, the exploitation of social networks promotes the information spreading for an effective service (e.g. reducing the lack of confidence among users) and endorses carpooling companies via viral marketing, finally acting as a basis for trust based users recommendation system In this work we outline CORSA, an open source solution for a real time ride sharing (RTRS) carpooling service that endorses the role of social networks by using them as a conveying scenario for the virtual credits reward mechanism CORSA is based on.
A Survey Paper on Ride-Sharing ApplicationIRJET Journal
This document describes a proposed carpooling web application that would connect drivers with available seats to passengers seeking rides. It discusses the objectives of optimizing transportation resources and reducing traffic and emissions. The proposed application would allow users to create profiles, drivers to list trips with details, and passengers to search for and request rides. Drivers and passengers could rate each other after trips. The document outlines requirements gathering, design, development, testing, deployment and maintenance steps for the application. It proposes using Node.js, React, and MongoDB with an MVC architecture.
This document presents a case study on designing an automated mobility-on-demand system to replace all personal transportation in Singapore. It first discusses shared vehicle systems and challenges like determining optimal fleet sizes. It then formulates the problems of minimum and performance-driven fleet sizing to meet demand. For minimum sizing, it shows fleet size must exceed the trip generation rate divided by the average trip speed. It also notes the impact of origin-destination imbalance, quantified by the Earth Mover's Distance between distributions. The case study applies these techniques using Singapore transportation data to estimate feasible fleet sizes.
Submitted Publication in the Transportation Research Record
November 23, 2015
ABSTRACT
A pilot program in Austin, Texas, tested the practicality of integrating a real-time ridesharing application with a toll operator to process toll discounts for carpools. The toll discounts appeared on monthly toll transaction statements. The program lasted for almost a year on the 183A Toll Road and the US 290 Manor Expressway. Travelers used a smartphone application to track, record, and submit their trips for discounts. Two-person carpools that used the application received a 50 percent discount, and carpools of three or more people could travel toll-free. The program was a partnership between the Central Texas Regional Mobility Authority, the local toll systems operator, and a private ridesharing vendor. Back-office processes matched trip data from the smartphone application to transactions recorded by the toll systems. A total of 95 unique drivers were provided toll rebates for 2,213 trips during the 10.5-month pilot period. Most trips during the pilot program were rebated for two-person carpools. Individual driver behavior varied considerably. A select few drivers had a high number of carpool trips, while others took a sporadic or infrequent trip. Drivers took a median of 7 trips during the pilot. Future rideshare programs should consider showing higher-dollar rebates that represent annual savings to incentivize behavior. Timely feedback was found to be an important factor for success. Additionally, program sponsors should provide positive customer service and engage users when problems exist that are not under their direct purview.
The governance of risks in ridesharing a revelatory case from singaporeAraz Taeihagh
Recently we have witnessed the worldwide adoption of many different types of innovative technologies, such as crowdsourcing, ridesharing, open and big data, aiming at delivering public services more efficiently and effectively. Among them, ridesharing has received substantial attention from decision-makers around the world. Because of the multitude of currently understood or potentially unknown risks associated with ridesharing (unemployment, insurance, information privacy, and environmental risk), governments in different countries apply different strategies to address such risks. Some governments prohibit the adoption of ridesharing altogether, while other governments promote it. In this article, we address the question of how risks involved in ridesharing are governed over time. We present an in-depth single case study on Singapore and examine how the Singaporean government has addressed risks in ridesharing over time. The Singaporean government has a strong ambition to become an innovation hub, and many innovative technologies have been adopted and promoted to that end. At the same time, decision-makers in Singapore are reputed for their proactive style of social governance. The example of Singapore can be regarded as a revelatory case study, helping us further to explore governance practices in other countries.
The document describes a proposed ride-sharing platform called SharedWheels. It aims to address the challenges of costly traveling while promoting more sustainable transportation. The platform would facilitate ride-sharing between individuals traveling along similar routes and destinations, allowing users to save money on transportation costs. It uses location tracking and analysis to match potential ride partners and recommend travel companions to users and drivers. By optimizing vehicle occupancy, SharedWheels also intends to reduce traffic congestion and greenhouse gas emissions. The platform emphasizes user privacy and security through anonymized location sharing as well.
Bike Sharing for Multi-modal Transit - oBikeIan Goh
This document discusses multi-modal transit (MMT) as an alternative to automobile transportation. It notes that while some cities have developed infrastructure to support walking, biking and public transit, many remain designed around cars. Bike sharing is presented as a way to address barriers to MMT by providing first/last mile connections to public transit. Bike sharing can also advocate for cycling infrastructure and provide data to support transportation planning. However, obstacles to cycling like safety issues and a lack of infrastructure still limit MMT uptake in many cities.
This document is Intended for the purpose of Enabling the power of social media to Empower Ridesharing.
this entails the creation of an ad-ridesharing Initiative with a view to tackling real-world problems such as
traffic congestion and the ever-increasing fuel prices. The main objectives include creating applications,
both web and mobile based, to seamlessly integrate the app’s functionality into and everyday user’s
routine.
Autonomous vehicles for smart and sustainable cities an in-depth exploratio...Araz Taeihagh
Amidst rapid urban development, sustainable transportation solutions are required to meet the increasing demands for mobility whilst mitigating the potentially negative social, economic, and environmental impacts. This study analyses autonomous vehicles (AVs) as a potential transportation solution for smart and sustainable development. We identified privacy and cybersecurity risks of AVs as crucial to the development of smart and sustainable cities and examined the steps taken by governments around the world to address these risks. We highlight the literature that supports why AVs are essential for smart and sustainable development. We then identify the aspects of privacy and cybersecurity in AVs that are important for smart and sustainable development. Lastly, we review the efforts taken by federal governments in the US, the UK, China, Australia, Japan, Singapore, South Korea, Germany, France, and the EU, and by US state governments to address AV-related privacy and cybersecurity risks in-depth. Overall, the actions taken by governments to address privacy risks are mainly in the form of regulations or voluntary guidelines. To address cybersecurity risks, governments have mostly resorted to regulations that are not specific to AVs and are conducting research and fostering research collaborations with the private sector.
A CAR POOLING MODEL WITH CMGV AND CMGNV STOCHASTIC VEHICLE TRAVEL TIMESEditor IJMTER
Carpooling (also car-sharing, ride-sharing, lift-sharing), is the sharing of car journeys so
that more than one person travels in a car. It helps to resolve a variety of problems that continue to
plague urban areas, ranging from energy demands and traffic congestion to environmental pollution.
Most of the existing method used stochastic disturbances arising from variations in vehicle travel
times for carpooling. However it doesn’t deal with the unmet demand with uncertain demand of the
vehicle for car pooling. To deal with this the proposed system uses Chance constrained
formulation/Programming (CCP) approach of the problem with stochastic demand and travel time
parameters, under mild assumptions on the distribution of stochastic parameters; and relates it with a
robust optimization approach. Since real problem sizes can be large, it could be difficult to find
optimal solutions within a reasonable period of time. Therefore solution algorithm using tabu
heuristic solution approach is developed to solve the model. Therefore, we constructed a stochastic
carpooling model that considers the in- fluence of stochastic travel times. The model is formulated as
an integer multiple commodity network flow problem. Since real problem sizes can be large, it could
be difficult to find optimal solutions within a reasonable period of time.
EMERGING SECURITY RISKS OF E-HAIL TRANSPORT SERVICES: FOCUS ON UBER TAXI IN N...ijsptm
This study attempted to examine the emerging security risks brought about by the e-hail taxi mode of transportation. It argues that despite the fact that the security risks associated with traditional taxi transportation still apply to e-hail taxi services, there are emergent risks that are unique to the app-based taxi hailing services. It further contends that as evidenced by the reactionary way of addressing security issues arising form usage of the service, it is clear that security was not a factor during conceptualisations, development and operation of the app-based taxi service. The study conducted a survey of uber customers and drivers in Nairobi County Kenya, and data was collected from 400 respondents with 85% response rate. Majority of the respondents indicated that they somewhat often (32.23%), agreed that Uber is more convenient (58.76%), indicated that Uber offers more business and job opportunities (86.46%). Despite the positive opinions by the respondents, 65.31% opined that Uber portend security risks. Majority indicated that the following risks are likely; abductions (40.82%), carjacking (40.82%), sexual harassment (38.14%), murders (35.71%), robbery (41.84%) and burglaries (34.69%). However, a majority of 28.57% thought that hackings into sensitive customer and company data was less likely. Furthermore, 57.14% of the respondents felt that the regulatory framework for appbased taxi hailing system were not sufficient to guarantee safety and security while 75.51% were optimistic that the e-hail transport industry will take meaningful security mitigation measures from the lessons they have learned. Finally, 92.93% of the respondents felt that government authorities should do more in regulating app-based services such Uber while 85.86% opined that founders and managers of ehail taxi services should be held responsible for security lapses. The study recommends that a review of existing traffic laws and criminal laws be done to take care of the emerging security risks associated by app-based service providers.
Pooll is a ridesharing service that combines social networks to address issues of flexibility, trust, safety, and reliability. It allows travelers to announce trips that are matched with others' trips. When trips coincide, travelers are notified and can invite each other. Confirmed trips provide meeting details. Future versions include mobile apps and payment systems. Pooll innovates by using social networks to provide profile information to evaluate trustworthiness of other travelers and address the main problems preventing ridesharing adoption.
Micromobility Explorer - how to make it sustainableStéphane Schultz
We've spent several months browsing cities, meeting executives and studying usecases to understand what is hidden behind the micromobility frenzy. As urbanist and mobility experts, we have tried to figure out how to solve the main issues encountered by operators and cities. Hope you enjoy the ride ! It's only the beginning...
Intelligent Transportation Systems across the worldAnamhyder1
This document provides an overview of intelligent transportation systems across different parts of the world. It discusses the history and development of ITS, including early systems in the US, Japan, Germany and other countries. It then covers the role of ITS in urban transportation systems, highlighting technologies like electronic toll collection, ramp metering, red light cameras, traffic signal coordination, and transit signal priority. The document also looks at ITS developments and applications in regions like the US, Europe, Middle East, India, and gaps in applying ITS to Indian traffic conditions.
The document describes the design of a bike sharing system using an Android application. It includes information on the motivation, problem definition, literature survey, software requirements specification, system design, and results. The system allows users to register through the app, book bikes by entering their location and destination, and view the shortest route and real-time location tracking. It is intended to make bike sharing more convenient and reduce dependency on taxis for short trips. The design covers modules, use cases, database structure, and screenshots of the app interface.
Smart Card: A study of new invention on bus fare in Dhaka cityMd. Abdul Munem
Technology is developing day to day. So we have to be familiar with technology. Digital payment system
is one of them. Our government will launch a pilot project for transportation under 22 buses on 42 routes.
It will be better if the smart card will included in that project. In the term paper I have focused the problems
we faced on public transport.
Nokia smart city_machina_research_playbook_enVictor Gridnev
This report analyzes smart city initiatives in 22 cities around the world. It finds that cities are becoming smarter to address pressures from population growth, the environment, and budgets. Three routes to becoming smart are identified: focusing on standalone applications, infrastructure platforms, or experimentation. Key enablers include improved connectivity, data management tools, open data, and new business models. The report provides scores and profiles cities' progress on smart living, safety, and sustainability applications. It concludes that leadership, visible benefits, data governance, procurement education, and public-private partnerships are critical success factors.
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
Travel Recommendation Approach using Collaboration Filter in Social NetworkingIRJET Journal
This document discusses a travel recommendation approach using collaboration filtering in social networks. It proposes personalized travel sequence recommendations based on travelogues and community photos posted on social media. Unlike other travel recommendation systems, it recommends a sequence of points of interest rather than individual locations. It maps user preferences and route descriptions to topic categories to calculate similarity and recommend routes. The system was evaluated on a dataset of over 7 million Flickr photos and 24,000 travelogues covering 864 travel locations in 9 cities.
This document discusses the development of a bike sharing Android application. It begins by discussing the motivation for developing such an application, as bike sharing has grown in popularity as an environmentally friendly transportation option. It then summarizes some existing bike/ride sharing applications and identifies limitations they have in terms of high costs, limited coverage areas, or focus on car sharing rather than bike sharing. The document proposes the development of a new Android application specifically for bike sharing that addresses these limitations by having centralized payment, coverage of any location, and a focus on bike sharing over cars. Key features of the proposed application described include online payment processing and a focus on reducing air pollution and transportation issues through widespread bike sharing.
Taking into consideration the drivers’ state might be a serious challenge for designing new advanced driver
assistance systems. During this paper we present a driver assistance system strongly coupled to the user. Driver
Assistance by Augmented Reality for Intelligent Automotive is an augmented reality interface informed by a several
sensors. Communicating the presence of pedestrians or bicyclists to vehicle drivers may end up in safer interactions
with these vulnerable road users. Advanced knowledge about the presence of these users on the roadway is
particularly important when their presence isn't expected or when these users are out of range of the advanced safety
systems that are becoming a daily feature in vehicles today. For example, having advanced knowledge of a pedestrian
walking along a rural roadway is important to increasing driver awareness through in-vehicle warning messages that
provide an augmented version of the roadway ahead. Voice recognition system through an android platform adds
some good flavour during this project. The strategy of voice recognition through this platform is achieved by
converting the input voice signal into text of string and subsequently it's transmitted to embedded system which
contains an arduino atmega328 microcontroller through Bluetooth as a technique of serial communication between an
android application and a control system. The received text string on an arduino is also displayed on the AR Glass. As
connected vehicles start to enter the market, it's conceivable that when the vehicle sensors detect a pedestrian on a
rural roadway, the pedestrian presence is also communicated to vehicles upstream of the pedestrian location that
haven't reached the destination. This paper presents a survey of studies related to perception and cognitive attention
of drivers when this information is presented on Augmented Reality
The Bikestream Litedeck provides an overview of the Bikestream project. The Litedeck provides a short background to the project, a short discussion of the problems motivating the project, the opportunities that Bikestream is trying to capture and create, and the solutions the Bikestream project deems will help resolve or mitigate the problems, a short overview of the databike proof-of-concept produced under the project, and future directions for the project.
If you have any questions, comments or concerns, please send an email to ledgerback@gmail.com with the subject line: "@BikestreamLitedeck Feedback".
Alternatively, you can also add your feedback to the Litedeck on Google Slides via the following link:
https://docs.google.com/presentation/d/1rRAxiwdAZD8dzrfPTdBN7PWBHJ3g2lZ1ic6fQXoWC-A/edit?usp=sharing
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
More Related Content
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This document presents a case study on designing an automated mobility-on-demand system to replace all personal transportation in Singapore. It first discusses shared vehicle systems and challenges like determining optimal fleet sizes. It then formulates the problems of minimum and performance-driven fleet sizing to meet demand. For minimum sizing, it shows fleet size must exceed the trip generation rate divided by the average trip speed. It also notes the impact of origin-destination imbalance, quantified by the Earth Mover's Distance between distributions. The case study applies these techniques using Singapore transportation data to estimate feasible fleet sizes.
Submitted Publication in the Transportation Research Record
November 23, 2015
ABSTRACT
A pilot program in Austin, Texas, tested the practicality of integrating a real-time ridesharing application with a toll operator to process toll discounts for carpools. The toll discounts appeared on monthly toll transaction statements. The program lasted for almost a year on the 183A Toll Road and the US 290 Manor Expressway. Travelers used a smartphone application to track, record, and submit their trips for discounts. Two-person carpools that used the application received a 50 percent discount, and carpools of three or more people could travel toll-free. The program was a partnership between the Central Texas Regional Mobility Authority, the local toll systems operator, and a private ridesharing vendor. Back-office processes matched trip data from the smartphone application to transactions recorded by the toll systems. A total of 95 unique drivers were provided toll rebates for 2,213 trips during the 10.5-month pilot period. Most trips during the pilot program were rebated for two-person carpools. Individual driver behavior varied considerably. A select few drivers had a high number of carpool trips, while others took a sporadic or infrequent trip. Drivers took a median of 7 trips during the pilot. Future rideshare programs should consider showing higher-dollar rebates that represent annual savings to incentivize behavior. Timely feedback was found to be an important factor for success. Additionally, program sponsors should provide positive customer service and engage users when problems exist that are not under their direct purview.
The governance of risks in ridesharing a revelatory case from singaporeAraz Taeihagh
Recently we have witnessed the worldwide adoption of many different types of innovative technologies, such as crowdsourcing, ridesharing, open and big data, aiming at delivering public services more efficiently and effectively. Among them, ridesharing has received substantial attention from decision-makers around the world. Because of the multitude of currently understood or potentially unknown risks associated with ridesharing (unemployment, insurance, information privacy, and environmental risk), governments in different countries apply different strategies to address such risks. Some governments prohibit the adoption of ridesharing altogether, while other governments promote it. In this article, we address the question of how risks involved in ridesharing are governed over time. We present an in-depth single case study on Singapore and examine how the Singaporean government has addressed risks in ridesharing over time. The Singaporean government has a strong ambition to become an innovation hub, and many innovative technologies have been adopted and promoted to that end. At the same time, decision-makers in Singapore are reputed for their proactive style of social governance. The example of Singapore can be regarded as a revelatory case study, helping us further to explore governance practices in other countries.
The document describes a proposed ride-sharing platform called SharedWheels. It aims to address the challenges of costly traveling while promoting more sustainable transportation. The platform would facilitate ride-sharing between individuals traveling along similar routes and destinations, allowing users to save money on transportation costs. It uses location tracking and analysis to match potential ride partners and recommend travel companions to users and drivers. By optimizing vehicle occupancy, SharedWheels also intends to reduce traffic congestion and greenhouse gas emissions. The platform emphasizes user privacy and security through anonymized location sharing as well.
Bike Sharing for Multi-modal Transit - oBikeIan Goh
This document discusses multi-modal transit (MMT) as an alternative to automobile transportation. It notes that while some cities have developed infrastructure to support walking, biking and public transit, many remain designed around cars. Bike sharing is presented as a way to address barriers to MMT by providing first/last mile connections to public transit. Bike sharing can also advocate for cycling infrastructure and provide data to support transportation planning. However, obstacles to cycling like safety issues and a lack of infrastructure still limit MMT uptake in many cities.
This document is Intended for the purpose of Enabling the power of social media to Empower Ridesharing.
this entails the creation of an ad-ridesharing Initiative with a view to tackling real-world problems such as
traffic congestion and the ever-increasing fuel prices. The main objectives include creating applications,
both web and mobile based, to seamlessly integrate the app’s functionality into and everyday user’s
routine.
Autonomous vehicles for smart and sustainable cities an in-depth exploratio...Araz Taeihagh
Amidst rapid urban development, sustainable transportation solutions are required to meet the increasing demands for mobility whilst mitigating the potentially negative social, economic, and environmental impacts. This study analyses autonomous vehicles (AVs) as a potential transportation solution for smart and sustainable development. We identified privacy and cybersecurity risks of AVs as crucial to the development of smart and sustainable cities and examined the steps taken by governments around the world to address these risks. We highlight the literature that supports why AVs are essential for smart and sustainable development. We then identify the aspects of privacy and cybersecurity in AVs that are important for smart and sustainable development. Lastly, we review the efforts taken by federal governments in the US, the UK, China, Australia, Japan, Singapore, South Korea, Germany, France, and the EU, and by US state governments to address AV-related privacy and cybersecurity risks in-depth. Overall, the actions taken by governments to address privacy risks are mainly in the form of regulations or voluntary guidelines. To address cybersecurity risks, governments have mostly resorted to regulations that are not specific to AVs and are conducting research and fostering research collaborations with the private sector.
A CAR POOLING MODEL WITH CMGV AND CMGNV STOCHASTIC VEHICLE TRAVEL TIMESEditor IJMTER
Carpooling (also car-sharing, ride-sharing, lift-sharing), is the sharing of car journeys so
that more than one person travels in a car. It helps to resolve a variety of problems that continue to
plague urban areas, ranging from energy demands and traffic congestion to environmental pollution.
Most of the existing method used stochastic disturbances arising from variations in vehicle travel
times for carpooling. However it doesn’t deal with the unmet demand with uncertain demand of the
vehicle for car pooling. To deal with this the proposed system uses Chance constrained
formulation/Programming (CCP) approach of the problem with stochastic demand and travel time
parameters, under mild assumptions on the distribution of stochastic parameters; and relates it with a
robust optimization approach. Since real problem sizes can be large, it could be difficult to find
optimal solutions within a reasonable period of time. Therefore solution algorithm using tabu
heuristic solution approach is developed to solve the model. Therefore, we constructed a stochastic
carpooling model that considers the in- fluence of stochastic travel times. The model is formulated as
an integer multiple commodity network flow problem. Since real problem sizes can be large, it could
be difficult to find optimal solutions within a reasonable period of time.
EMERGING SECURITY RISKS OF E-HAIL TRANSPORT SERVICES: FOCUS ON UBER TAXI IN N...ijsptm
This study attempted to examine the emerging security risks brought about by the e-hail taxi mode of transportation. It argues that despite the fact that the security risks associated with traditional taxi transportation still apply to e-hail taxi services, there are emergent risks that are unique to the app-based taxi hailing services. It further contends that as evidenced by the reactionary way of addressing security issues arising form usage of the service, it is clear that security was not a factor during conceptualisations, development and operation of the app-based taxi service. The study conducted a survey of uber customers and drivers in Nairobi County Kenya, and data was collected from 400 respondents with 85% response rate. Majority of the respondents indicated that they somewhat often (32.23%), agreed that Uber is more convenient (58.76%), indicated that Uber offers more business and job opportunities (86.46%). Despite the positive opinions by the respondents, 65.31% opined that Uber portend security risks. Majority indicated that the following risks are likely; abductions (40.82%), carjacking (40.82%), sexual harassment (38.14%), murders (35.71%), robbery (41.84%) and burglaries (34.69%). However, a majority of 28.57% thought that hackings into sensitive customer and company data was less likely. Furthermore, 57.14% of the respondents felt that the regulatory framework for appbased taxi hailing system were not sufficient to guarantee safety and security while 75.51% were optimistic that the e-hail transport industry will take meaningful security mitigation measures from the lessons they have learned. Finally, 92.93% of the respondents felt that government authorities should do more in regulating app-based services such Uber while 85.86% opined that founders and managers of ehail taxi services should be held responsible for security lapses. The study recommends that a review of existing traffic laws and criminal laws be done to take care of the emerging security risks associated by app-based service providers.
Pooll is a ridesharing service that combines social networks to address issues of flexibility, trust, safety, and reliability. It allows travelers to announce trips that are matched with others' trips. When trips coincide, travelers are notified and can invite each other. Confirmed trips provide meeting details. Future versions include mobile apps and payment systems. Pooll innovates by using social networks to provide profile information to evaluate trustworthiness of other travelers and address the main problems preventing ridesharing adoption.
Micromobility Explorer - how to make it sustainableStéphane Schultz
We've spent several months browsing cities, meeting executives and studying usecases to understand what is hidden behind the micromobility frenzy. As urbanist and mobility experts, we have tried to figure out how to solve the main issues encountered by operators and cities. Hope you enjoy the ride ! It's only the beginning...
Intelligent Transportation Systems across the worldAnamhyder1
This document provides an overview of intelligent transportation systems across different parts of the world. It discusses the history and development of ITS, including early systems in the US, Japan, Germany and other countries. It then covers the role of ITS in urban transportation systems, highlighting technologies like electronic toll collection, ramp metering, red light cameras, traffic signal coordination, and transit signal priority. The document also looks at ITS developments and applications in regions like the US, Europe, Middle East, India, and gaps in applying ITS to Indian traffic conditions.
The document describes the design of a bike sharing system using an Android application. It includes information on the motivation, problem definition, literature survey, software requirements specification, system design, and results. The system allows users to register through the app, book bikes by entering their location and destination, and view the shortest route and real-time location tracking. It is intended to make bike sharing more convenient and reduce dependency on taxis for short trips. The design covers modules, use cases, database structure, and screenshots of the app interface.
Smart Card: A study of new invention on bus fare in Dhaka cityMd. Abdul Munem
Technology is developing day to day. So we have to be familiar with technology. Digital payment system
is one of them. Our government will launch a pilot project for transportation under 22 buses on 42 routes.
It will be better if the smart card will included in that project. In the term paper I have focused the problems
we faced on public transport.
Nokia smart city_machina_research_playbook_enVictor Gridnev
This report analyzes smart city initiatives in 22 cities around the world. It finds that cities are becoming smarter to address pressures from population growth, the environment, and budgets. Three routes to becoming smart are identified: focusing on standalone applications, infrastructure platforms, or experimentation. Key enablers include improved connectivity, data management tools, open data, and new business models. The report provides scores and profiles cities' progress on smart living, safety, and sustainability applications. It concludes that leadership, visible benefits, data governance, procurement education, and public-private partnerships are critical success factors.
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
Travel Recommendation Approach using Collaboration Filter in Social NetworkingIRJET Journal
This document discusses a travel recommendation approach using collaboration filtering in social networks. It proposes personalized travel sequence recommendations based on travelogues and community photos posted on social media. Unlike other travel recommendation systems, it recommends a sequence of points of interest rather than individual locations. It maps user preferences and route descriptions to topic categories to calculate similarity and recommend routes. The system was evaluated on a dataset of over 7 million Flickr photos and 24,000 travelogues covering 864 travel locations in 9 cities.
This document discusses the development of a bike sharing Android application. It begins by discussing the motivation for developing such an application, as bike sharing has grown in popularity as an environmentally friendly transportation option. It then summarizes some existing bike/ride sharing applications and identifies limitations they have in terms of high costs, limited coverage areas, or focus on car sharing rather than bike sharing. The document proposes the development of a new Android application specifically for bike sharing that addresses these limitations by having centralized payment, coverage of any location, and a focus on bike sharing over cars. Key features of the proposed application described include online payment processing and a focus on reducing air pollution and transportation issues through widespread bike sharing.
Taking into consideration the drivers’ state might be a serious challenge for designing new advanced driver
assistance systems. During this paper we present a driver assistance system strongly coupled to the user. Driver
Assistance by Augmented Reality for Intelligent Automotive is an augmented reality interface informed by a several
sensors. Communicating the presence of pedestrians or bicyclists to vehicle drivers may end up in safer interactions
with these vulnerable road users. Advanced knowledge about the presence of these users on the roadway is
particularly important when their presence isn't expected or when these users are out of range of the advanced safety
systems that are becoming a daily feature in vehicles today. For example, having advanced knowledge of a pedestrian
walking along a rural roadway is important to increasing driver awareness through in-vehicle warning messages that
provide an augmented version of the roadway ahead. Voice recognition system through an android platform adds
some good flavour during this project. The strategy of voice recognition through this platform is achieved by
converting the input voice signal into text of string and subsequently it's transmitted to embedded system which
contains an arduino atmega328 microcontroller through Bluetooth as a technique of serial communication between an
android application and a control system. The received text string on an arduino is also displayed on the AR Glass. As
connected vehicles start to enter the market, it's conceivable that when the vehicle sensors detect a pedestrian on a
rural roadway, the pedestrian presence is also communicated to vehicles upstream of the pedestrian location that
haven't reached the destination. This paper presents a survey of studies related to perception and cognitive attention
of drivers when this information is presented on Augmented Reality
The Bikestream Litedeck provides an overview of the Bikestream project. The Litedeck provides a short background to the project, a short discussion of the problems motivating the project, the opportunities that Bikestream is trying to capture and create, and the solutions the Bikestream project deems will help resolve or mitigate the problems, a short overview of the databike proof-of-concept produced under the project, and future directions for the project.
If you have any questions, comments or concerns, please send an email to ledgerback@gmail.com with the subject line: "@BikestreamLitedeck Feedback".
Alternatively, you can also add your feedback to the Litedeck on Google Slides via the following link:
https://docs.google.com/presentation/d/1rRAxiwdAZD8dzrfPTdBN7PWBHJ3g2lZ1ic6fQXoWC-A/edit?usp=sharing
Similar to IRJET- Towards Social Aware Ridesharing Group Query Services (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.