The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
There has been a lot of work on finding safest path from source to destination. However, all these works mainly rely on the crime data available through government sources. The works are missing many important factor that affect safety of a route. In this work, we first propose safety measurement score and then show how it can be used for safe navigation. We proposed a comprehensive safety measure...
It is important to provide sightseeing information to foreign people to promote tourism industry. However, in order to provide fresh information or intend for new sightseeing contents, we need to pay for the cost of contents updating and system migration. Therefore, we propose “Self-extending Type Open Data Platform” that can take in the tweet of the tourist automatically. This proposed platform has...
One of the key tasks of mobile robotics is navigation, which for Outdoor-type robots is exacerbated by the functioning in a priori of an unknown environment. In this paper, for the first time, the learning navigation system for mobile robot based on inductive modeling approach is presented. This approach is based on the principles of the group method of data handling (GMDH), which is one of the first...
The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize. The objective of our study is to design and develop a user-friendly...
Effective navigation of urban environments is a primary challenge remaining in the development of autonomous vehicles. Intersections come in many shapes and forms, making it difficult to find features and models that generalize across intersection types. New and traditional features are used to train several intersection intention models on real-world intersection data, and a new class of recurrent...
This paper presents a user community research of natural resources and environmental scientists on their data discovery, reuse, and integration challenges, and provides recommendations on how academic libraries should improve their data repository systems and curation services.
In this paper, a novel online learning navigation algorithm is proposed to incorporate negative data generated from failure in an online manner. While existing methods require additional knowledge about what to do at failed situations, the proposed method alleviates this by utilizing failures as a clue of what not to do without requiring additional knowledge of what to do. By combining the benefits...
Active assistive mobility systems are largely limited to a-priori mapped environments, whereas their reactive assistive counterparts are in general location independent and focus on the provision of collision avoidance in the immediate space surrounding the platform. This paper presents a framework capable of providing active short-term navigation, combining the intelligence of active assistance with...
The wide range of different platforms for web and mobile applications development requires fast prototyping and the evaluation of multiple releases. Model Driven Development (MDD) represents the application at high level with textual or visual languages and can be used to automatically generate the final product by means of model-to-model and model-to-code transformations. We describe IFMLEdit.org,...
In this work we investigate the identification of a motion model for an autonomous underwater vehicle by applying different machine learning (ML) regression methods. By using the data collected from the robot's on-board navigation sensors, we train the regression models to learn the damping term which is regarded as one of the most uncertain components of the motion model. Four regression techniques...
This paper focuses on issues of device navigation in a specific environment with the possibility of environment recognition, in which the device is currently located. The purpose of the paper is presentation of the system which could be a solution for autonomous navigation system of discussed types of devices for ground and aerial traffic. We are aware of the fact that similar products are available...
For robots to be a part of our daily life, they need to be able to navigate among crowds not only safely but also in a socially compliant fashion. This is a challenging problem because humans tend to navigate by implicitly cooperating with one another to avoid collisions, while heading toward their respective destinations. Previous approaches have used handcrafted functions based on proximity to model...
Models to assess a source code element's relevancy for a given change task are the basis of many software engineering tools, such as recommender systems, for code comprehension. To improve such relevancy models and to aid developers in finding relevant parts in the source code faster, we studied developer's fine-grained navigation patterns with eye tracking technology. By combining the captured eye...
High-dimensional signals, including dynamic magnetic resonance (dMR) images, often lie on low dimensional manifold. While many current dynamic magnetic resonance imaging (dMRI) reconstruction methods rely on priors which promote low-rank and sparsity, this paper proposes a novel manifold-based framework, we term M-MRI, for dMRI reconstruction from highly undersampled k-space data. Images in dMRI are...
We present a model-driven approach to the creation of online community web apps that leverages the capabilities of the DIME model-driven development environment for web applications. Thereby we specifically focus the community-specific needs and structural elements and functionality of the online community around the SEcube™ project. Starting with only vague requirements, we applied a double scaffolding...
The Automatic Identification System (AIS) is an automatic tracking system which has been widely applied in the fields of intelligent transportation systems, e.g., collision avoidance, navigation, maritime supervision and management. Compare with other positioning systems, e.g., very high frequency (VHF) and radar, AIS can conquer the human errors and it is almost not affected by the external environment...
In order to analyze a news article dataset, we first extract important information such as title, date, and paragraph of the body. At the same time, we remove unnecessary information such as image, caption, footer, advertisement, navigation and recommended-news. The problem is that the formats of news articles are changing according to time and also they vary according to news source and even section...
Starting in July 2016, the Ministry of Science and Technology of China, along with several other national agencies, sponsors a 54-month 45-million RMB (Chinese Yuan) project on knowledge engineering with Big Data (<uri>www.bigke.org</uri>) for 15 top research and development institutions to study the fundamental theory and the applications of BigKE, a big-data knowledge engineering framework...
In order to meet the need of terrain model in a ship driving simulation training system, a method of terrain modeling based on S-57 electronic chart is proposed to solve the existing problems. This method integrates three-dimensional terrain data generation technology, GPS positioning technology and GIS geographic information technology, and proposes a method of 3D terrain data generation, radar terrain...
E-commerce catalogs include a continuously growing number of products that are constantly updated. Each item in a catalog is characterized by several attributes and identified by a taxonomy label. Categorizing products with their taxonomy labels is fundamental to effectively search and organize listings in a catalog. However, manual and/or rule based approaches to categorization are not scalable....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.