Li Weigang

University of Brasília | UnB · Department of Computer Science

A parallel self-organizing map (parallel-SOM) is proposed to modify a self-organizing map for parallel computing environments. In this model, the conventional repeated learning procedure is modified to learn just once. The once learning manner is more similar to human learning and memorizing activities. During training, every connection between neu...

Air Traffic Flow Management (ATFM) is a complex decision-making process with multiple stakeholders involved. In this decision loop, a Multi-agent system is developed for both simulation and daily operations to support human decisions. Considering human factors in ATFM, the method of Reinforcement Learning (RL) is suitable in the acquirement of the...

This comment reviews the “once learning” mechanism (OLM) that was proposed by Weigang (1998), the subsequent success of “one-shot learning” in object categories (Li FF et al., 2003), and “you only look once” (YOLO) in objective detection (Redmon et al., 2016). Upon analyzing the current state of research in artificial intelligence (AI), we propose...

Online social media is a powerful source of information that can influence users’ decisions. Due to the huge volume of data generated by such media, many researches have been done to automate text categorization. However, finding useful information to satisfy user’s needs is not an easy task. There are many challenges to overcome especially in shor...

Collaborative decision making (CDM) has been used as an essential paradigm to increase the efficiency of air traffic flow management (ATFM), including takeoff or landing operations at airports. Air traffic control (ATC) services and airlines have been involved in the current CDM, but airport management service, an important stakeholder, has not bee...

The aviation community develops Trajectory Based Operations (TBO) as an advancement in Air Traffic Management (ATM). There is still the need for an efficient scheme to present the trajectories, manage their associated data, and further detect and resolve the conflicts (CDR) that should eventually occur. In this research, we develop a CDR framework...

An electronic invoice (E-invoice) is a kind of document that records the transactions of goods or services and then stores and exchanges them electronically. E-invoice is an emerging practice and presents a valuable source of information for many areas. Dealing with these invoices is usually a very challenging task. Information reported is often in...

We provide a literature review about Automatic Text Summarization (ATS) systems. We consider a citation-based approach. We start with some popular and well-known papers that we have in hand about each topic we want to cover and we have tracked the "backward citations" (papers that are cited by the set of papers we knew beforehand) and the "forward...

The most common method used to document monetary transactions in Brazil is by issuing electronic invoices (NF-e). The audit of electronic invoices is essential, and this can be improved by using data mining solutions, such as clustering and anomaly detection. However, applying these solutions is not a simple task because NF-e data contains millions...

Electronic invoices are important documents that allow the State to control and collect taxes resultant from the commercialization of items, goods and services. The large amount of invoices that are daily generated makes auditing tasks unfeasible, time consuming and error prone when attempting to retrieve invoices that present inconsistent taxes in...

Systematic Literature Review (SLR) studies aim to leverage relevant insights from scientific publications to achieve a comprehensive overview of the academic progress of a specific field. In recent years, a major effort has been expended in automating the SLR process by extracting, processing, and presenting the synthesized findings. However, imple...

Misappropriation of public lands is an ongoing government concern. In Brazil, the beach zone is public property, but many private establishments use it for economic purposes, requiring constant inspection. Among the undue targets, the individual mapping of straw beach umbrellas (SBUs) attached to the sand is a great challenge due to their small siz...

Este artigo descreve segurança cibernética aplicada a Mídias Sociais com ênfase no uso de HDFS para armazenamento e processamento de grandes volumes de dados. O objetivo foi desenvolver um framework de DLPS baseado em ML que melhore a precisão na identificação de vazamento de dados em estruturas de HDFS. Assim, identificou-se as principais categori...

Air traffic flow and capacity management (ATFCM) is composed of two main areas: capacity management and air traffic flow management (ATFM). Capacity management is the activity of measuring and optimizing airport and airspace capacity to accommodate the highest possible number of aircraft by the existing infrastructure without putting safety at risk...

Air traffic has been increasing in the past years, and the predictions indicate a more significant growth in the future. On the other side, the infrastructure required to provide a safe, orderly, and expeditious flow of traffic does not grow as fast because it is costly. The high price tag encourages the authorities to make sure the existing infras...

This article reviews the Once Learning mechanism that was proposed 23 years ago and the subsequent successes of One-shot Learning in image classification and You Only Look Once-YOLO in objective detection. Analyzing the current development of AI, the proposal is that AI should be clearly divided into the following categories: Artificial Human Intel...

Inaccurate carbon emissions predictions may be one of the root factors leading to the overall ineffectiveness of the European Union environmental regulatory framework. Therefore, the present article aims at introducing a novel computational learning framework for carbon emissions prediction incorporating a RReliefF driven features selection and an...

One of the main challenges in urban development faced by large cities is related to traffic jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater accuracy to estimate the traffic jam and to maximize the flow of vehicles in the transport infrastructure, without increasing the overhead of information on the...

O XVIII SITRAER - Simpósio Brasileiro de Transporte Aéreo, foi realizado pela Sociedade Brasileira de Pesquisa em Transporte Aéreo – SBTA e a Universidade de Brasília - UnB, entre os dias 22 a 24 de outubro de 2019 na FINATEC em Brasília-DF. Trata-se de um evento oficial da SBTA e constitui-se no único evento nacional dedicado ao debate de diversas...

A computing system obtains flight information comprising a plurality of waypoints for each of a plurality of aircraft flight paths, and detects a violation of aircraft separation requirements at a given time instance. Each waypoint specifies an altitude, a longitudinal position, a latitudinal position, a velocity, and a time instance. Detecting the...

Aircraft fly in an environment that is subject to constant weather changes, which considerably influences the decision-making process in Air Traffic Management (ATM). The stakeholders in ATM track weather conditions to appropriately respond against new environmental settings. The proposed work builds an intelligent system to constantly monitor the...

Implementation of Trajectory Based Operations (TBO) has been updating the structure of the advanced Air Traffic Management (ATM). Although several methodologies for conflict detection and resolution (CDR) have been developed to the aviation community, the legacy problem is to find an efficient scheme to present the trajectories in this complex netw...

The prediction of presidential election outcome is key point of interest for politicians, electors and sponsoring companies. The 2018 Brazilian election presented a scenario with many uncertainties increasing prediction challenge. The utilization of social media as the promotion tools is another new scenario for both election and also prediction. I...

Air transport plays a key role when it comes to sustainable economic and social development. The aviation force in the global economic context can be confirmed by the fact that air traffic had doubled its volume every fifteen years since the mid-1970s, and this was in spite of the occurrence of periods characterized by severe recession. Aviation, i...

The System Wide Information Management (SWIM) is a concept recommended by the International Civil Aviation Organization (ICAO) meant to improve the interoperability of data and systems in the context of the ATM System once adopted. As part of the initiatives headed to SWIM implementation in the Brazilian scenario, technical demonstrations are being...

The development of new smart objects for the sensing and actuation of a given place or environment led both the academia and industry to research and propose new protocols and intelligent systems to support such objects. One of the systems that has been gaining prominence is the smart residential environments. In this context, homes are equipped wi...

Air traffic management is a complex decision making process. Air traffic controllers decision on aircraft trajectory control actions directly lead to the efficiency of traffic flow management. This paper aims to realize an automated routine trajectory management in terminal maneuvering area with an intelligent decision-making agent. An artificial i...

The Collaborative Trajectory Options Program (CTOP) makes each airline possible to share its route options to air traffic control center, and so achieve better business goals by reducing strategic operational costs. In Brazil, there are initial efforts to verify the benefits of CTOP implementation to improve the air traffic fluency and financial re...

Rumor propagation and behavior spreading are usually closely coupled with each other and the interaction will have great influence on the spreading dynamics. In this paper, we propose a novel interacting model of rumor propagation and behavior spreading in multiplex networks. Specifically, coupled reinforcements are introduced in the derived mean-f...

Human skin detection in images is a widely studied topic of Computer Vision for which it is commonly accepted that analysis of pixel color or local patches may suffice. This is because skin regions appear to be relatively uniform and many argue that there is a small chromatic variation among different samples. However, we found that there are stron...

Identifying influential nodes to maximize the spreading influence is an important issue for the study of complex networks. In this paper, we propose a Local Relative Weakening Effect (LRWE) method to identify multiple influential spreaders. Both the weakening effect of selected spreaders and local relative strength are taken into account at the sam...

IEEE ITSC 2018 Aviation Systems Intelligent Computational Models Special Session welcomes intelligent modeling and simulation contributions aimed at the safe, secure, efficient and sustainable development of the Air Navigation and Air Transportation, as well as at the improvement of any Aviation related decision-making processes.

System Wide Information Management (SWIM) including SWIM Registry for Air Traffic Management (ATM) has been successfully developed and applied in Europe and United States. The most of developing countries have just started to study the employment of SWIM conceipt, which its establishment is required prior to the development of SWIM Registry. In thi...

Air traffic management (ATM) has increased the complexity of computational solutions over the last decades to support the discovery process and knowledge management in decision-making process. It involves dealing with more information about flights, weather, delays, forecasting scenarios, and others. An evolution of ATM programs was the Collaborati...

Rumor propagation and refutation form an important issue for spreading dynamics in online social networks (OSNs). In this paper, we introduce a novel two-stage rumor propagation and refutation model with time effect for OSNs. The dynamical mechanism of rumor propagation and refutation with time effect is investigated deeply. Then a two-stage model...

The research of rumor spreading and controlling has become an important issue in social networks. In this paper, we propose a novel rumor and authoritative information propagation model considering the super spreading mechanism. We derive mean-field equations to describe the dynamics of the rumor and authoritative information propagation model. The...

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching...

This paper briefly reviews the state-of-the-art in Artificial Intelligence (AI) applied to Air Traffic Management (ATM). The research topics include the application of semantic ontology, multi-agent systems, reinforcement learning (RL), and game theory in ATM. Likewise, this paper also highlights our research advances in this area. In this case, we...

The System Wide Information Management (SWIM) aims to provide information sharing and integrate technologies related to Air Traffic Management (ATM), increasing the airspace security and the level of decision-making. The two main examples of SWIM implementation are SESAR, in Europe, and NextGen, in the USA. In Brazil, despite the initiatives relate...

The System Wide Information Management (SWIM) consists of standards, infrastructure and governance enabling the management of air traffic information and services. The main component in the SWIM is the registry, a central repository for services and service related information, which improves interoperability. SESAR (Europe) and NextGen (USA) embra...

The 4D trajectory management program will require a major shift in infrastructure and operational management processes to deliver accurate and reliable information to trajectory management team. As a result, air traffic management operation will demand Network Enabled Operations (NEO) concepts such as the System Wide Information Management (SWIM) f...

Credit-assignment schemas are widely applied by providing fixed or flexible credit distribution formulas to evaluate the contributions of coauthors of a scientific publication. In this paper, we propose an approach named First and Others (F&O) counting. By introducing a tuning parameter α and a weight β, two new properties are obtained: (1) flexibl...

RESUMO Operações em Descida Contínua permitem o gerenciamento de trajetórias de voo ao aprimorar a capacidade operacional das aeronaves em aterrissagem, reduzindo o consumo de combustível durante a aproximação, porém sem prejuízo das restrições operacionais de segurança do espaço aéreo. A coordenação de chegada é um cenário onde aeronaves devem cru...

For predicting the contributions of the collaborators of a scientific activity, such as a paper or a project, the First and Others (F&O) approach has been developed with the consideration of both a flexible formula by changing tuning parameters and weight preference to individual collaborator. This paper extends and generalizes the F&O approach to...

The main goal in Continuous Descent Arrival (CDA) operations is the management of flight trajectories in order to optimize the operating capability of the aircraft in Terminal Manoeuvring Area (TMA), reducing fuel burn and emissions during the descent/approach phase. At the same time the maximization of airspace efficiency/capacity needs to be addr...

Inefficiency airport ground handing operations is one of the main reasons for flight delays, as it comprises a series of processes and collaborations between various airport’s services. Using multi-agent planning (MAP) method, this paper proposes a framework as a management system to improve the airport ground handling management (GHM). With the id...

4:1! Google’s artificial intelligence (AI) program, AlphaGo, has won Go Master Lee Sedol in a best-of-five competition held in Korean March 9−15, 2016. Seen by many as a landmark moment for AI, the outcome did not come as a surprise, considering the excellent combination of 1920 CPUs with sophisticated AI algorithms, including neural networks and M...

Collaborative Decision Making (CDM) is an operational paradigm in which decisions are based on complete, shared, and up-to-date information among all the stakeholders involved in Air Traffic Flow Management (ATFM). Such stake-holders include air traffic controllers and airlines. However, in Brazil, these operations are still coordinated manually. To...

Family tree is an efficient data structure to store the kinship information in a family. There are basically two kinds of trees: Western Family Tree (WFT) and Oriental Family Tree such as Chinese Family Tree (CFT). To get an insight of their efficiency in the context of family kinship presentation and information extraction, in this paper we develo...

Family trees are one of the use efficiency data structures to present and store the information. There are two kinds of mechanisms to present the relationship of the elements: Occidental Family Trees (OFT) and Oriental Family Trees, especially, Chinese Family Trees (CFT). This paper analyzes the efficiency of these two kinds of trees in the context...