scholarly journals Application of the Layered Model Management System in an Interactive Map of the University Campus

2017 ◽  
Vol 22 (4) ◽  
pp. 51-58
Author(s):  
Damian Faustryjak ◽  
Michał Majchrowicz ◽  
Lidia Jackowska-Strumiłło

Abstract The paper presents a web application for navigation through the university campus, which is based on Global Positioning System GPS and OpenStreetMap. The application has a multilayer structure and multi-labelling support. The proposed solution ensures better management of visual data and more efficient image processing comparing to the other known methods. With the new search system, users can place a lot of information on one layer without losing the legibility of displayed data. All the information that was displayed on the map was grouped and assigned to the appropriate categories.Therefore a map contains a lot of related information that needs to be linked to each other. The system has been divided into modules that ensure the integrity of the displayed things. Presenting so much information at the same time is managed by modules. Their main job is to provide results that is then segregated and grouped. The system presented in this paper was applied for Lodz University of Technology.

2030 ◽  
2010 ◽  
Author(s):  
Rutger van Santen ◽  
Djan Khoe ◽  
Bram Vermeer

A hurricane striking the Chinese coast is ten times as lethal as one hitting the United States. The number of U.S. victims is limited because of better precautions, warning systems, and evacuation methods. More effective observation and communication can save lives. A century ago, hurricanes killed around 7,000 Americans every year, whereas nowadays there are only very few hurricanes of the lethality of Katrina. That progress has yet to reach every corner of Earth, says Guus Berkhout regretfully. This Dutch geophysicist has immersed himself in the mechanisms of disasters and disaster prevention since the beginning of his scientific career—first as professor of seismic imaging and later as professor of innovation at Delft University of Technology in the Netherlands. We talked to him at the university campus that lies 3 meters below sea level. At his laboratory, Berkhout analyzes the early warning systems and contingency plans that will be needed to protect both his lab and his compatriots. “We can’t stop earthquakes, volcanic eruptions, hurricanes, or tidal waves from happening,” he stresses. “And we may never be able to predict hurricanes or earthquakes with sufficient accuracy. Nor can we hope to prevent people from living in dangerous places. They are simply too attractive.” Human beings indeed seem addicted to living on the edge of catastrophe. The World Bank has calculated that a fifth of all countries are under permanent threat of natural disaster, with some 3.4 billion people—roughly half the world’s population—at heightened risk of being killed by one. Yet unsafe regions are often exceptionally popular places to live and work, one reason being that floodplains and the slopes of volcanoes are highly fertile. The climate is milder along the coast, the soil better, and transport more efficient than farther inland. Even the likelihood of earthquakes isn’t enough to persuade people to live elsewhere, as witnessed by some of the most densely populated areas of California and Japan. Current migration trends—moving to where the action is—suggest that the proportion of people living in unsafe areas will only increase.


Robotica ◽  
2019 ◽  
Vol 37 (08) ◽  
pp. 1320-1331 ◽  
Author(s):  
Jongwoo An ◽  
Jangmyung Lee

SummaryRobust positioning and navigation of a mobile robot in an urban environment is implemented by fusing the Global Positioning System (GPS) and Inertial Navigation System (INS) data with the aid of a motion estimator. To select and isolate malicious satellite signals and guarantee the minimum number of GPS signals for the localization, an enhanced fault detection and isolation (FDI) algorithm with a short-term memory has been developed in this research. When there are sufficient satellite signals for positioning, the horizontal dilution of precision (HDOP) has been applied for selecting the best four satellite signals to localize the mobile robot. Then, the GPS data are fused with INS data by a Kalman filter (KF) for a straight path and a curved motion estimator (CME) for a curved path. That is, the INS data are properly fused to the GPS data through the KF or CME process. To verify the effectiveness of the proposed algorithm, experiments using a mobile robot have been carried out on a university campus.


2014 ◽  
Vol 590 ◽  
pp. 862-866
Author(s):  
Qing Chen ◽  
Yan Zhou ◽  
Dong Dong Bai ◽  
Ming Yu Zhang

On college campuses, road is important part of activities on campus, and campus planning. This paper in case of Tianjin University of Technology, On the University campus in common of traffic safety issues examined and analysed, mastering different features of the campus and the community, urban transport, based on these characteristics, on the campuses of these problems put forward the corresponding measures. So that people can be comfortable and convenient campus safe arrival.


Author(s):  
T. Allison ◽  
D. Fraser ◽  
E. Stefanakis

This paper describes the requirements for a weighted visibility classification of seats in the University of New Brunswick’s (UNB) Aitken University Centre (AUC). Price levels for seats are typically set for sections of seats based on promoter preferences. In a visibility classification, the digital elevation model (DEM) is created for the AUC and includes possible view obstructions. The view obstructions taken into account for this design were the penalty boxes, player bencher, and the rink boards. There were no other major obstructions in the AUC. The visibility calculations compute the number of visible pixels of the rink surface for each seat. It is expected that seats with a higher number of visible pixels will also have better visibility. The number of viewable pixels is weighted by distance to the center of ice surface to account for the preference of seats that are closer to the rink surface. This paper outlines the collection of data, weighted visibility classification method, and the development of information products. There are two main objectives of this weighted visibility classification and seating plan: (a) to demonstrate that a weighted visibility classification is a viable method to classify seats, and that this methodology could be used to set price levels for a venue and (b) create online web applications to suit the functionality for users and venue administrators. The user web application allows the user to pan, zoom and perform limited searches in the interactive map.


Author(s):  
Boddepalli Navjoth

A university campus is an intricate infrastructure. Especially new students, who are thereon for the first time, have a tough time orienting themselves and finding places. The campus of Andhra University occupies more than 422 acres (170.7 hectares). The campus has many different buildings. Every year, thousands of new students join the university. These students either take a campus commuter or walk around to get familiar with the campus compound. Visitors to Andhra University might have a hard time searching for a particular location on the campus. Every day, uncountable numbers of students, staff, and visitors move around the campus compound to perform tasks by walking, cycling, driving, or riding campus commuters. Even if there are maps at various points on the campus premises, users do not have continuous help to reach their destination. On these static maps, they can try to figure out a way to get to their target, but as soon as they start walking in the target direction, they have no help anymore. The main objective of this study is to develop a Spatial Information System for Andhra University (a Progressive Web App). Which provides several features like a voice-enabled optimal navigation solution, shows nearby places within campus premises, and a geo-tagged university (Geo-tagging of all entities within campus premises). To make the web application more operative, the application is appended with more features. For instance, a map shows statistical data with pie charts visualization (statistical data like monthly attendance), machine learning's image recognition model for extracting the building information from the digital or captured images.


Author(s):  
Cheng-Hsiung Hsieh ◽  
Hsien-Chou Liao

As awareness computing attracts increasing attention, this special issue has been arranged for researchers, engineers, and scientists to discuss on awareness computing and to exchange ideas, opinions, and the latest results in this emerging new field. Awareness is the ability to be conscious of, feel, or perceive ? in other words, to have awareness. It implies vigilance in observing and alertness in drawing inferences from experience. The ultimate goal of awareness computing is to create computing systems that are aware. The eight papers accepted for this issue come mainly from International Symposium on Aware Computing 2010 and cover different aspects of awareness computing in science and engineering. The authors have been kind enough to revise their papers for this publication. Two papers focus on awareness learning and multimedia-based learning, three examine localization using sensor networks, sound sources, and radiofrequency identification, and three explore a fuzzy-rules mining algorithm, an interactive map search system, and semi-supervised method for pattern recognition. We thank the reviewers for their time and effort in reviewing papers within a limited time. We are most grateful to Professor Qiangfu Zhao of the University of Aizu, Japan, and to Professors Toshio Fukuda and Kaoru Hirota, Editors-in-Chief, for inviting us to guest-edit this special issue. We also thank the Fuji Technology Press staff for its ongoing assistance.


2021 ◽  
Vol 16 (3) ◽  
pp. 253-274
Author(s):  
Dennis Pieprz ◽  
Romil Sheth ◽  
Tao Zhang

ABSTRACT In a post-COVID world, how can higher education embrace unforeseen changes and enable self-starting, entrepreneurial students to thrive? The interdisciplinary design firm Sasaki, has learned from its experience in the planning and implementation of university campuses around the world that a nimble, multi-faceted 21st century living-learning education positions universities to be adaptable for years to come. We argue that flexibility must be integrated at the planning level to break down silos and support interdisciplinary pedagogies inside and out of the classroom. Campus master plans need to embrace the idea of the plan as a “living document” or framework that can adapt to future needs. Designers and educators must also work together to harness the next generation of technology to create transparent, accessible and impactful learning environments. Flexible plans, buildings, and landscapes can connect different disciplines, integrate the latest technology, stitch together the campus, and encourage a lifelong learning mentality. The following case studies drawn from Sasaki’s practice in the United States, Asia, and Latin America will be used to support our argument: Instituto Tecnológico de Monterrey, Singapore University of Technology and Design, Anant National University, The Lawrenceville School, Xinyang University, Syracuse University, and Dartmouth College.


2020 ◽  
pp. 31-47
Author(s):  
Dorota Winnicka-Jasłowska

The education of architects at the Faculty of Architecture of the Silesian University of Technology in the field of architectural design is based on scientific research. Researchbased design means asking research questions and formulating answers supported by research methods that students learn during the course of their studies. The paper discusses a student didactic and research project carried out as a part of a semester course. The research concerned the evaluation of the functional, behavioural and organizational criteria indicated on the University campus, carried out using the Post-Occupancy Evaluation method (POE). The scope of the research included the following criteria: way-finding and buildings visual identification, universal design, services on the campus, network of learning and social contact places, design out crime issues, aesthetics of the university campus, and the campus as a space for social integration. The final part of the paper also presents selected student projects carried out on the basis of conclusions from the described research.


2021 ◽  
Vol 1 ◽  
Author(s):  
S. M Abtahi

Today, many universities are trying to move towards sustainability by observing the principles of environment and green management. In this regard, the issue of green university has been considered by many countries in recent years, and many efforts have been made to join (UIGWURN (UI GreenMetric World University Rankings Network)). Isfahan University of Technology (IUT), as one of the top higher education universities in Iran, has taken fundamental steps to implement "Green Management" and has achieved honors in this regard. Some of the measures taken are extensive educational and research activities in the field of environment as well as executive measures for the university campus, including Xeriscaping, energy efficiency, clean energy use, water consumption management, waste and wastewater management, green buildings, and transportation. The implementation of these measures has led to significant results in reducing water and energy consumption, reduction of all types of pollutions following the use of clean energy, as well as saving consumption costs.


2020 ◽  
Vol 24 (3) ◽  
pp. 443-448
Author(s):  
O.J. Nnamani ◽  
V.A. Ijaware

The emergence of the Global Positioning System (GPS) receiver over the years has afforded the avenue to acquire data from various geospatial locations. This paper analyses and compares the accuracy of point positions collected using three Global Positioning System (GPS) receivers— South H66/H88, Sokkia radian IS, and ProMark 3. A field study was conducted on 5 control points within the Federal University of Technology Akure (FUTA) Campus. The One-way ANOVA test performed for the coordinates obtained from the three GPS receivers at an alpha level of 0.05 using SPSS version 16 reveals no statistically significant difference between the coordinates. Analysis of the result shows that South GPS, Sokkia GPS, and ProMark GPS receivers had horizontal misclosure values of 0.1337, 0.1625 and 0.2425 respectively, making South GPS best in obtaining accurate information onhorizontal positions. For the vertical position, misclosure values of 0.0902, 0.2336, and 0.2771 respectively were obtained for the Three GPS receivers, thereby revealing that Sokkia GPS performed optimally in obtaining heights above the ellipsoid. However, as a combination of horizontal and  vertical positions (3-Dimension), Sokkia GPS performed best while ProMark GPS performed averagely and South GPS performed least. This study shows that any of the three GPS receivers can provide reasonable accurate geographic data. However, a definite conclusion remains that the selection of an optimal GPS receiver in this study for any project will largely depend upon the user’s needs and project requirements as the significant variation observed in the height coordinates should be further investigated. Keywords: GPS Receivers, Accuracy, Position Determination, GPS Coordinates


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