On-Demand Barrier-Free Street View System Using Sensor Information from General-Purpose Wheelchair Users

2017 ◽  
Author(s):  
Kenichi Arai ◽  
Takuya Tateishi ◽  
Toru Kobayashi ◽  
Noboru Sonehara
Keyword(s):  
General Purpose ◽  
Wheelchair Users ◽  
On Demand ◽  
Street View ◽  
Sensor Information ◽  
Barrier Free

A Web-Enabled, Mobile Intelligent Information Technology Architecture for On-Demand and Mass Customized Markets

2010 ◽  
pp. 83-123
Author(s):  
M. Ghiassi ◽  
C. Spera
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Intelligent Agents ◽  
Simulated Data ◽  
General Purpose ◽  
Cost Overruns ◽  
On Demand ◽  
Intelligent Information ◽  
Improving Accuracy ◽  
Event Based

This chapter presents a web-enabled, intelligent agent-based information system model to support on-demand and mass customized markets. The authors present a distributed, real-time, Java-based, mobile information system that interfaces with firms’ existing IT infrastructures, follows a build-to-order production strategy, and integrates order-entry with supply chain, manufacturing, and product delivery systems. The model provides end-to-end visibility across the entire operation and supply chain, allows for a collaborative and synchronized production system, and supports an event-based manufacturing environment. The system introduces four general purpose intelligent agents to support the entire on-demand and mass customization processes. The adoption of this approach by a semiconductor manufacturing firm resulted in reductions in product lead time (by half), buffer inventory (from five to two weeks), and manual transactions (by 80%). Application of this approach to a leading automotive manufacturer, using simulated data, resulted in a 51% total inventory reduction while increasing plant utilization by 30%. Adoption of this architecture by a pharmaceutical firm resulted in improving accuracy of trial completion estimates from 74% to 82% for clinical trials resulting in reduced trial cost overruns. These results verify that the successful adoption of this system can reduce inventory and logistics costs, improve delivery performance, increase manufacturing facilities utilization, and provide a higher overall profitability.

scholarly journals Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2056 ◽  
Author(s):  
Xingsi Xue ◽  
Junfeng Chen
Keyword(s):  
Firefly Algorithm ◽  
Gray Code ◽  
General Purpose ◽  
Sensor Data ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Matching Problem ◽  
Matching Technique ◽  
Sensor Information ◽  
Exploitation And Exploration

Semantic Sensor Web (SSW) links the semantic web technique with the sensor network, which utilizes sensor ontology to describe sensor information. Annotating sensor data with different sensor ontologies can be of help to implement different sensor systems’ inter-operability, which requires that the sensor ontologies themselves are inter-operable. Therefore, it is necessary to match the sensor ontologies by establishing the meaningful links between semantically related sensor information. Since the Swarm Intelligent Algorithm (SIA) represents a good methodology for addressing the ontology matching problem, we investigate a popular SIA, that is, the Firefly Algorithm (FA), to optimize the ontology alignment. To save the memory consumption and better trade off the algorithm’s exploitation and exploration, in this work, we propose a general-purpose ontology matching technique based on Compact co-Firefly Algorithm (CcFA), which combines the compact encoding mechanism with the co-Evolutionary mechanism. Our proposal utilizes the Gray code to encode the solutions, two compact operators to respectively implement the exploiting strategy and exploring strategy, and two Probability Vectors (PVs) to represent the swarms that respectively focuses on the exploitation and exploration. Through the communications between two swarms in each generation, CcFA is able to efficiently improve the searching efficiency when addressing the sensor ontology matching problem. The experiment utilizes the Conference track and three pairs of real sensor ontologies to test our proposal’s performance. The statistical results show that CcFA based ontology matching technique can effectively match the sensor ontologies and other general ontologies in the domain of organizing conferences.

scholarly journals RAILWAY SYSTEM ACCESSIBILITY EVALUATION FOR WHEELCHAIR USERS: CASE STUDY IN THE CZECH REPUBLIC

Transport ◽  
2014 ◽  
Vol 32 (1) ◽  
pp. 32-43 ◽  
Author(s):  
Jaroslav Matuška
Keyword(s):  
Czech Republic ◽  
Rail Transportation ◽  
The Czech Republic ◽  
Wheelchair Users ◽  
Accessibility Evaluation ◽  
Train Services ◽  
Weak Points ◽  
Railway System ◽  
Barrier Free

This paper deals with accessibility of rail transportation as a system. Presented methods bring ways of rail infrastructure and train accessibility evaluation. Applied two-stage model enables evaluation of departure halls accessibility. The level of train accessibility is defined by coefficients of time and direction non-uniformity. While opportunities for barrier-free travelling are relatively balanced in monitored regions, coefficients show a time imbalance in the results. Opportunity to travel barrier-free (according to the non-uniformity coefficients) shows that there are fluctuations at weekends and on weekdays. These are not of crucial importance. However, the train services are barrier-free particularly for travelling on long distances, whilst suburban and regional ones are still mostly inaccessible for wheelchairs, which is not very favourable. Since 2010 the accessibility level has improved in this area in the Czech Republic. Comparison with neighbouring countries showed strong and weak points of guaranteed barrier-free services in each country.

scholarly journals Accessibility to Spa Experiences

2021 ◽  
pp. 146-168
Author(s):  
Eleni Michopoulou ◽  
Sarah J. Hilton
Keyword(s):  
Social Media ◽  
Tourism Industry ◽  
Accurate Information ◽  
Wheelchair Users ◽  
Social Wellbeing ◽  
Social Media Platforms ◽  
Wellness Tourism ◽  
Key Barrier ◽  
Barrier Free

This chapter aims to highlight and raise awareness of the previously unknown barriers currently faced by wheelchair using consumers in the spa industry and the implications of these barriers for consumer and industry alike. Existing research on accessibility within this specific environment is extremely limited (if any). This study shows that access to accurate information is a key issue, a key barrier to participation and not only for those who have not visited a spa before. Gaining information pre visit in tourism is increasingly done online and there is the opportunity to use technologies and especially websites and social media platforms to help provide this information. The chapter also illustrates the potential for health and greater mental and social wellbeing the spa industry and the wider wellness tourism industry have for wheelchair users and how they could mutually benefit each other, as well as further promoting the case for barrier free accessible tourism and leisure opportunities.

Smart Road Surface Monitoring with Privacy Preserved Scheme for Vehicle Crowd Sensing

2019 ◽  
Vol 16 (8) ◽  
pp. 3204-3210 ◽  
Author(s):  
R. Aishwarya ◽  
R. Yogitha ◽  
V. Kiruthiga
Keyword(s):  
Road Surface ◽  
Transport Infrastructure ◽  
Sensor Technology ◽  
Route Discovery ◽  
The Road ◽  
On Demand ◽  
Transport Services ◽  
Crowd Sensing ◽  
Street View ◽  
Road Condition

In the Modern years many varieties of solutions has been framed for transport infrastructure such as street view application, traffic scrutiny, shortest road path navigation and route discovery. The current requirements and most significant of transport infrastructure has been lead towards the monitoring of road surface condition. Many varieties of solutions have been generated with sensor technology in existing system. Because of this, most of the systems using sensors are getting trouble in existing method for analyzing the condition of road surface and also no awareness or warning for the people who travel for the first time. So that initially visual observe of every surface of the road for the particular areas has been analyzed for a superior solution. Observation can be done by taking site survey, street view applications and also getting suggestion from the highway engineers. Later every detail about the surface of the observed road will be updated with the help of crowd sensing and Global Positioning System (GPS) Vehicle based sensing technology frequently which provides the user-friendly transport services to the customer. In our work the intermediate server called Fog Node is proposed to update the genuine data about the surface of the road condition to the cloud server by applying the Light Weight Signcryption method. The best road condition path for the sensor based cars is to be notified when the car is nearer to the Road Side Unit (RSU) with the help of Global System for Mobile communication (GSM) and also the details will be provided for the client on demand. The implementation can be proved with our proposed method to reach the best path recover, less storage, power consumption and finding proper route discovery. Also, it will dispense on demand data for the road based customers through mobile application with privacy preserved technology.

scholarly journals Ezycart: Multivendor E-Commerce Website

2021 ◽  
Vol 9 (8) ◽  
pp. 2867-2869
Author(s):  
Dushyant Goyal
Keyword(s):  
General Purpose ◽  
Physical Work ◽  
The Internet ◽  
Digital Resources ◽  
On Demand ◽  
Online Platforms ◽  
Is Security ◽  
The World ◽  
User Friendly ◽  
Made In

Abstract: Due to the Pandemic, we saw a rise in the use of online or digital resources. Since the lockdown was imposed, thus day to day commute was affected severely. The vendors and markets that relied on customers this commute were severely affected. Thus, it saw the necessity to shift the business to online platforms like Amazon, Snapdeal, etc. From these experiences, the idea of Ezycart came into play, with a motive to boost the online infrastructure of E-Commerce specific to the needs and demands of the population of our country (India), easy-to-use, secure, and user-friendly Multi-vendor Website helping connect the local vendors and shops with the consumer and providing on-demand good and services. The objective of this project is to develop a general-purpose e-commerce store where any product can be bought from the comfort of home through the Internet. Unlike traditional commerce that is carried out physically with the effort of a person to go & get products, eCommerce has made it easier for humans to reduce physical work and to save time. E-Commerce which was started in the early 1990s has taken a great leap in the world of computers, but the fact that has hindered the growth of ecommerce is security. Security is the challenge facing e-commerce today & there is still a lot of advancement made in the field of security.

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