H-KD: A Novel Query Structure for Multi-dimensional Awareness Information

Author(s):  
Hong Tang ◽  
Xiao Sun ◽  
Guofeng Zhao
Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 388
Author(s):  
Santos Bringas ◽  
Rafael Duque ◽  
Alicia Nieto-Reyes ◽  
Cristina Tîrnăucă ◽  
José Luis Montaña

Collaborative systems support shared spaces, where groups of users exchange interactions. In order to ensure the usability of these systems, an intuitive interactions’ organization and that each user has awareness information to know the activity of others are necessary. Usability laboratories allow evaluators to verify these requirements. However, laboratory usability evaluations can be problematic for reproducing mobile and ubiquitous contexts, as they restrict the place and time in which the user interacts with the system. This paper presents a framework for building software support that it collects human–machine interactions in mobile and ubiquitous contexts and outputs an assessment of the system’s usability. This framework is constructed through learning that is based on neural networks, identifying sequences of interactions related to usability problems when users carry out collaborative activities. The paper includes a case study that puts the framework into action during the development process of a smartphone application that supports collaborative sport betting.


Author(s):  
Keith Cheverst ◽  
Alan Dix ◽  
Dan Fitton ◽  
Connor Graham ◽  
Mark Rouncefield

2021 ◽  
Vol 9 ◽  
Author(s):  
Peter Vrolijk ◽  
Lori Summa ◽  
Benjamin Ayton ◽  
Paraskevi Nomikou ◽  
Andre Hüpers ◽  
...  

Natural seeps occur at the seafloor as loci of fluid flow where the flux of chemical compounds into the ocean supports unique biologic communities and provides access to proxy samples of deep subsurface processes. Cold seeps accomplish this with minimal heat flux. While individual expertize is applied to locate seeps, such knowledge is nowhere consolidated in the literature, nor are there explicit approaches for identifying specific seep types to address discrete scientific questions. Moreover, autonomous exploration for seeps lacks any clear framework for efficient seep identification and classification. To address these shortcomings, we developed a Ladder of Seeps applied within new decision-assistance algorithms (Spock) to assist in seep exploration on the Costa Rica margin during the R/V Falkor 181210 cruise in December, 2018. This Ladder of Seeps [derived from analogous astrobiology criteria proposed by Neveu et al. (2018)] was used to help guide human and computer decision processes for ROV mission planning. The Ladder of Seeps provides a methodical query structure to identify what information is required to confirm a seep either: 1) supports seafloor life under extreme conditions, 2) supports that community with active seepage (possible fluid sample), or 3) taps fluids that reflect deep, subsurface geologic processes, but the top rung may be modified to address other scientific questions. Moreover, this framework allows us to identify higher likelihood seep targets based on existing incomplete or easily acquired data, including MBES (Multi-beam echo sounder) water column data. The Ladder of Seeps framework is based on information about the instruments used to collect seep information (e.g., are seeps detectable by the instrument with little chance of false positives?) and contextual criteria about the environment in which the data are collected (e.g., temporal variability of seep flux). Finally, the assembled data are considered in light of a Last-Resort interpretation, which is only satisfied once all other plausible data interpretations are excluded by observation. When coupled with decision-making algorithms that incorporate expert opinion with data acquired during the Costa Rica experiment, the Ladder of Seeps proved useful for identifying seeps with deep-sourced fluids, as evidenced by results of geochemistry analyses performed following the expedition.


Author(s):  
Yongrui Chen ◽  
Huiying Li ◽  
Yuncheng Hua ◽  
Guilin Qi

Formal query building is an important part of complex question answering over knowledge bases. It aims to build correct executable queries for questions. Recent methods try to rank candidate queries generated by a state-transition strategy. However, this candidate generation strategy ignores the structure of queries, resulting in a considerable number of noisy queries. In this paper, we propose a new formal query building approach that consists of two stages. In the first stage, we predict the query structure of the question and leverage the structure to constrain the generation of the candidate queries. We propose a novel graph generation framework to handle the structure prediction task and design an encoder-decoder model to predict the argument of the predetermined operation in each generative step. In the second stage, we follow the previous methods to rank the candidate queries. The experimental results show that our formal query building approach outperforms existing methods on complex questions while staying competitive on simple questions.


2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Mimica Milošević ◽  
Aybeyan Selimi ◽  
Dušan Milošević

Information for the sustainable development in Macedonia is insufficient. It is important to meet human needs and the needs of its environment for the sustainable development but raising awareness is the necessary assumption. The sustainable development has multidisciplinary nature, a concept that includes the economy, ecology, ethics, sociology, law and policy and links the well-being of present and future generations with the capacity and limitations of biosphere in a way to make the life more sustainable. The aim of this paper is to examine all these aspects and impact on raising awareness of the need for the sustainable development. Through various forms of the surveys in public sector, the primary and secondary school, the faculty, in health care and factories, offer people the ability to move in wide initiatives for the sustainable development. Based on the results of the survey, which was conducted in the municipality of Gostivar in the Republic of Macedonia, using statistical analysis, appropriate conclusions and proposals were performed. Key words: awareness, information, sustainable development


Author(s):  
Tamara Y. Gertsog

We analyze the concept of legal awareness of citizens, its structure, significance for a particular individual and for society as a whole, ways to increase the level of legal awareness of the population, as well as the con-sequences due to an increase in the level of legal awareness. We cover the is-sue of excess information in the legal sphere, its causes and consequences. We consider the essence of legal information burnout, its signs, potential danger and impact, identified preventive measures and methods to combat this phenomenon. We comprehend the impact of excessive legal information on professional deformation and professional burnout of lawyers, we have determined the functional significance of excessive legal information to citi-zens to maintain the proper level of their legal functional literacy. The pur-pose of the study is to determine the relationship between the increased vol-ume of legal awareness, information overload, legal information burnout and, as a consequence, the professional deformation of lawyers. We make an attempt to declare the existence of the phenomenon, which is conventionally called by the author legal information burnout. The study will be of interest to specialists in the field of jurisprudence, psychology, information technology, and may also be useful for other specialists and all those who are interested in the issues of this issue.


Author(s):  
Cyril Onwubiko

This chapter describes work on modelling situational awareness information and system requirements for the mission. Developing this model based on Goal-Oriented Task Analysis representation of the mission using an Agent Oriented Software Engineering methodology advances current information requirement models because it provides valuable insight on how to effectively achieve the mission’s requirements (information, systems, networks, and IT infrastructure), and offers enhanced situational awareness within the Computer Network Defence environment. Further, the modelling approach using Secure Tropos is described, and model validation using a security test scenario is discussed.


Author(s):  
Akhila Manne ◽  
Madhu Bala Myneni

Social media has redefined crisis management in the recent years. Extraction of situation awareness information from social media sites such as Twitter, Facebook, Instagram, etc. is a non-trivial task once the required framework is established. Unfortunately, most public safety authorities are still suspicious of using social media in engaging and disseminating information. This chapter reports on how social media can be effectively used in the field of emergency management along with the opportunities and challenges put forth. The chapter starts with a discussion on the functions of social media and its trustworthiness. It provides a description of the framework for disaster management system and the methodology to be adopted. The methodology consists of volunteer classification, methods of data collection, challenges faced, event detection, and data characterization with currently available disaster management tools. The chapter concludes with the division between practice and research and moves toward envisioning how social media may be used as a resource in emergency management.


Author(s):  
Adriana S. Vivacqua ◽  
Jano Moreira de Souza

Recent research has noted that individuals engage in multiple collaborations simultaneously and have difficulties managing these different contexts. Studies indicate that awareness of others’ activities plays an important part in collaboration. Proximity also has a strong effect on collaboration, as maintaining awareness of peers becomes harder in distributed environments. Many awareness systems have been proposed to deliver information on peers’ activities or status, which usually either require extensive configuration by the user or disseminate information regardless of users’ interests. With the increase in information available, systems must be sensitive to users’ attention foci, minimizing interruptions, and helping focus and providing information according to current tasks. We have been investigating ways to determine awareness foci through e-mail-based user interaction analysis. Our goal is to be able to draw inferences as to whom and about what a user is collaborating, enabling a system to automatically distribute awareness information and adapt itself according to users’ needs without much configuration.


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