International Institute of
A Code Checking Platform for Geometric Design of Railway's Superstructure – Methodology and Application in a BIM Environment
Porto, Marcelo Franco; Ribeiro, Rômulo Luiz Pereira; Franco, José Ricardo Queiroz; Nunes, Nilson Tadeu Ramos; Baracho, Renata Maria Abrantes (Brazil)
ABSTRACT:
Verifying the project code for compliance with regulatory requirements, done manually, requires time and qualified labor in addition to errors and rework. This paper proposes a methodology for project development and evaluation to verify compliance with railway project requirements. The analytical equations for railway design presented form the basis of the present methodology, which was implemented in two BIM computational prototypes integrated as plug-ins to the AutoCAD Civil 3D platform. This platform allows access to its native entities and commands, which can be extended and allows the creation of entities and commands using its Application Programming Interface (API). A prototype will be used for railway project development/maintenance and automatic verification of compliance before sending it for approval. Another module will serve for regulatory agencies to review project compliance with standards for approval. The proposed methodology compares design parameter values with values defined by the standards. Reports will serve to identify the parameters within normative criteria and those that need to be reviewed. The prototype was tested and evaluated in a section of the Centro Atlântica Railway, Minas Gerais / Brazil. The results showed that the proposed method represents an important contribution to railway engineering and an efficient prototype performance, with fast and reliable checks.
Agile Micro-Methodology for the Development of Software in Programming Marathons (Hackathons)
Canto-Sustaita, L. Guillermo; Perez-Gonzalez, Héctor G.; Nuñez-Varela, Alberto S.; Martinez-Perez, Francisco E. (Mexico)
ABSTRACT:
This paper describes our experiences using and evaluating a methodology for the development of applications in extremely short periods of time, such as programming in Hackathons. A hackathon is by definition, a programming event that includes a component of competition, however, experience following some methodology in such extreme situations could contribute to the improvement of software processes when it requires extremely short production times. A semi-formal qualitative study of the use of the methodology was conducted, in order to evaluate the success of the process, with a view to improving future similar events. A real Hackathon event was used to evaluate mentioned methodology and gather experience about the same.
Blockchain Technology Applied to Food and Feed Safety Recalls
Lara Gracia, Marco A. (United States)
ABSTRACT:
Food safety is crucial for everyone. Consumers have a right to safe food products that are exactly as advertised and have no negative, undisclosed health implications. This is the logic behind the Food Safety Modernization Act, which is discussed in this paper. In order to have safe animal food products for human consumption, such as meats, diary, and eggs, quality controlled animal feed is essential. Many animal feed issues can lead to not only animal health issues but also human health issues. Therefore, it is crucial to prevent contaminated animal feed and ensure feed quality. The Food Safety Modernization Act revolutionized food safety regulation in the US by emphasizing the need of implementing best food manufacturing practices, hazard analysis and risk-based preventative controls, and recording keeping across the supply chain. In the event a recall is required, it is imperative to get every recalled product in its full quantity, which represents a challenging task due to extensive paperwork that needs to be processed and the massive logistics involved in the recall process. Blockchain technology could be effectively applied in recall planning and execution to ensure accurate, transparent, and rapid recalls. Ideally, when the blockchain recall process is activated, a company, say a food manufacturer, should quickly start and run its recall process in order to identify all causes that led to the recall process, track down all product being recalled, take possession of the product, dispose it, and document in detail the entire recall process. The rapid and effective execution of the recall process for sure will save human lives. This paper discusses the application of blockchain technology to food and feed safety recalls.
Building Information Modeling to Support the Management of the Built Environment
Soares, Bruno Cesarino *; Baracho, Renata Maria Abrantes *; Porto, Marcelo Franco *; Soergel, Dagobert ** (* Brazil, ** United States)
ABSTRACT:
This paper presents a software environment that customizes the Autodesk Revit Building Information Modeling (BIM) software to facilitate use with new Brazilian requirements for BIM use. The new Brazilian legislation requires using BIM for construction projects of public agencies, including the use of a Construction Information Classification System (CICS) adapted from internationally used standards to the needs in Brazil. The software environment combines existing Revit add-ins with an add-in specifically developed for checking that a BIM meets the requirements. We demonstrate use of the environment in a case study. The environment is available upon request. Our study is set in the broader context of supporting the activities and processes in designing, creating, and using the built environment that are applied in projects, such as new construction, renovation, expansion, acquisition, and rental of buildings, building complexes, and larger built environments. Considering the diversity and amount of information required in these projects, we deal with BIM as a tool for organizing this information and managing its flow to support both project management and several types of analysis, including feasibility studies and comparisons between investment alternatives, verification of the effectiveness of the solutions adopted, risk analysis, and return on investment. To support all of these functions and reuse, information must be standardized. We show how the new Brazilian standard furthers this goal.
Canvas Deceiver - A New Defense Mechanism Against Canvas Fingerprinting
Obaidat, Muath; Obeidat, Suhaib; Lee, Taeho (United States)
ABSTRACT:
Browser fingerprinting refers to a collection of techniques used to gather information about a user’s browser attributes. The information gained from a browser fingerprint can be used to partially or fully identify a user without using any other technique, e.g., cookies. One type of browser fingerprinting is canvas fingerprinting which utilizes HTML-canvas elements to identify users. Various defense algorithms against canvas fingerprinting have been developed, but unfortunately, have been shown to be penetrable and detectable.
In this paper, we present Canvas Deceiver, a new countermeasure against canvas fingerprint. Canvas Deceiver is a browser extension that uses a new algorithm that is different from existing problem-possessing algorithms. Canvas Deceiver does not rely on randomness, does not provide a unique identity, and is not detectable. To show its functionality and effectiveness, we tested Canvas Deceiver using different tools that provide browser fingerprint tests. According to the test results, Canvas Deceiver outperforms current countermeasures in detectability while providing sufficient anonymity to its users. For instance, in Browserleaks, the user originally was put into a group with 634 people. After using Canvas Deceiver, he is put into a group with 7847 people.
Classification and Feature Selection of Media Users Using Life Traits
Oyo, Kuratomo; Yamada, Takako (Japan)
ABSTRACT:
The focus of the media used in our life is shifting from television to a smartphone. We compare SNS users from the viewpoint of life traits, instead of demographics. The purpose of our research is to classify media users by their life traits. In conventional research, demographic data plays an important role in market segmentation. By using user’s life traits, we propose a new classification for user’s media usage in the New Digital Age which will contribute better ad placement plan. We will use single-source data that collects pieces of multifaceted information such as life traits, the type of media used, and demographics, etc. collected from the same targeted respondent. We adopt Random Forests, which is known as a machine learning method, and predict if a respondent uses the media under our investigation from life traits. Random Forests showed a good performance to predict media usage. Our result will show that there are clear differences among media users.
Classifying Autism Spectrum Disorder (Asd) Causal Genes Based on Intrinsic Disordered Regions
Shazman, Shula (Israel)
ABSTRACT:
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic basis, yet only a small fraction of potentially causal genes are known with strong genetic evidence from sequencing studies. The method developed in this study is a complementary machine-learning approach for classifying ASD causal genes based on intrinsically disordered regions (IDRs) found in proteins that are the product of genes associated with ASD. The method successfully distinguished ASD causal genes from non-causal genes with Area Under the Curve (AUC) = 0.82. The method uses artificial neural networks (ANN) and other machine learning classifiers to classify the ASD causal genes. The method can also predict the confidence score provided by the AutismKB 2.0 database. Furthermore, analyzing the results reveals that the most important feature by which to classify ASD causal genes is related to the number of IDRs in the protein. Finally, those results indicate that the contribution of IDRs must be taken into consideration when deciphering the ASD mechanism.
Experimental Validation of the DSTATCOM Based on SiC-MOSFET Multilevel Converter for Reactive Power Compensation
Gregor, Raúl; Pacher, Julio; Renault, Alfredo; Comparatore, Leonardo; Rodas, Jorge (Paraguay)
ABSTRACT:
Power quality problems are associated, among other things, with the reactive power generated at the AC side in distribution systems. In this regard, the three-phase distribution static compensator is actually becomes a viable alternative in order to achieve reactive power compensation or in other words to obtain a unity power factor. This paper introduces the experimental validation of the distribution static compensator based on a 7-level cascade H-Bridge converter. The experimental test bench is based on the silicon carbide metal-oxide-semiconductor field-effect transistor devices. The results are obtained by using a fixed switching frequency model-based predictive controller based on a pulse-width modulation strategy. The proposed design is implemented to mitigate power quality issues induced by reactive load and experimental results are provided to show the performance of the proposed controller.
Graph Generator Based on Local Information
Patiño-Reyes, Fernando; López-Sánchez, Máximo; González-Serna, Juan G.; Magadán-Salazar, Andrea; Castro-Sánchez, Noé A.; Pérez-Ramírez, Miguel (Mexico)
ABSTRACT:
Region analysis where vehicle congestion occurs is a problem of huge complexity since it involves the interaction of various elements, such as: schools, shopping malls, hospitals, among other things. Furthermore, it might involve unpredictable events, for example: demonstrations, road accidents, earthquakes, among others. Predictable as unpredictable elements and events have a different impact on vehicle movement. A key element to analyze is the road network, (represented by a graph), as it indicates travel directions and restrictions that vehicles have in a certain space. This work focuses on the transformation of maps downloaded from OpenStreetMap, which are outlined in XML for representation in the SUMO simulator that then generates a graph, in order to understand vehicle movement complexity of a road network narrowed down to regions, which are defined by the area of a polygon.
Information Modeling as a Way of Strengthening Cultural Identity: Study of Significance and Representativeness
Rezende, Michela Perígolo; Baracho, Renata Maria Abrantes (Brazil)
ABSTRACT:
Faced with the reality of digital globalization in the context of architecture and urbanism has shown the need to develop methodologies through information modeling that favor strengthening the cultural identity of communities. Local actions, focused on the story of everyday life, tend to create powerful bonds that can be used as a bridge to insert communities in the digital age. How to collect and organize this information to achieve the desired cultural repercussion? The “Study of Significance and Representativeness of the city of São Lourenço” was carried out through a partnership with the local government and has been approved by the Comitê de Ética em Pesquisa da Universidade Federal de Minas Gerais (CAAE 08050918.8.0000.5149). Proposed to choose the city´s symbolic space by an exploratory qualitative methodological technique that obtained more comprehensive results than a common plebiscite. The “significance“ may present information about the cultural values which are recognized by the residents, their stories intertwined in the context of the city. And the “representativeness” may reveal information about how much the spaces of that city has truly express these values, relating them to different techniques of spatial representation. This artifice has been verifying that the use of different techniques of space representation reach greater cultural scope in the modeling of information.
IoT Solution to Optimize Navigation of Cargo Vessels on Rivers, Harbors, and Waterways
Lara Gracia, Marco A. (United States)
ABSTRACT:
The two major “choke points” in the navigation of foreign cargo ships on rivers, harbors, lakes, and waterways are pilots of cargo ships and locks that cargo ships need to go through when navigating on rivers or waterways oceangoing or vice versa. The actual way pilots perform their duties reflects the impact of multiple factors they usually cannot control. For instance, the communication devices and technology available for pilots to communicate with other port entities, the extensive paper documentation pilots have to deal with, the number of cargo ships that need pilotage service, the unpredictable nature of weather, unexpected port security events, to name a few. Locks, on the other hand, frequently increases the transit time of cargo ships due to its mechanical/manual operation and the difficulty to schedule or sequence the transit of cargo ships not only to maximize throughput but also to minimize transit time through the river or waterway. The 5G communication technology recently introduced, advanced smart sensor technology currently available, and the availability of working Internet-Of-Things (IoT) platforms among other factors, provide essential means to support research and development of IoT solutions that can be used to optimize the navigation of cargo vessels on rivers and waterways, which is the central theme and content of this paper.
Lessons Learned in Adopting Agile Software Development at Enterprise Scale
Cherinka, R.; Foote, S.; Prezzama, J. (United States)
ABSTRACT:
Agile Methodologies to develop, acquire and/or manage innovation and the construction of capabilities have become the norm for many organizations. Agility comes in many forms and can be implemented through many different methodologies at different levels of an organization. Methods such as Scrum, DevOps and Scaled Agile are examples of applying agility in different, and complimentary ways. These methods can be often misunderstood as well. Agile development has shown great value, but in scaling across a large enterprise, there is risk that those agile efforts could be degraded, or even fail in its adoption. In this paper, we describe lessons, observations and recommendations based on our experience with use cases of agile adoption across large organizations supporting public sector missions. We highlight what happens when agile is applied without considering some of the potential challenges that can limit its successful adoption across a large organization or enterprise.
Mapping of Information Flows Between Systems to Support Project Management
Baracho, Rodrigo; Baracho, Renata; Mattos, Max (Brazil)
ABSTRACT:
The need for updated, correct and available information for all people involved in an engineering project is fundamental for its success. This article aims to apply methods of Information and Knowledge Management that allow the mapping of information flows between systems to assist project management. It is based on a literature review on interoperability between systems, project management, information and knowledge management, as well as a study on agile methodology widely used today. The information flows between systems used in the management of engineering projects of a large projects. Brazilian company will be presented, with the identification of bottlenecks and proposals for improvements that can be made in it. The research shows the relevance of integrating information between systems to assist project management.
Naming Entities and Elements for the Enterprise
Simpson, William R.; Foltz, Kevin (United States)
ABSTRACT:
A name for an entity, such as an individual, group, role, device, organization, or facility, indicates a set of labelled properties, which are managed by a registration service. An example is a personal identification verification (PIV) certificate for individuals. It provides the handle by which further certificates and other data concerning the entity can be accessed, and it provides the basis for initial search and discovery. Computer operations are not good at resolving ambiguities and these may lead to vulnerabilities and exploits. Therefore, the most important property of a name is uniqueness. The uniqueness must extend over time and space. Uniqueness can be achieved with a unique-by-construction formula or a registration approach. Another important property of a name is interpretability. The name must have some meaning that connects the name with what it refers to. In this paper, we formulate a naming schema for use by the enterprise that assures uniqueness and interpretability in the naming of entities. This schema covers users as well as hardware. It also extends to collections of entities using groups, abstract entities using roles, and software entities in the form of services. This provides a consistent approach that enables enterprise-wide naming consistency, which is the foundation of enterprise-wide security.
New Transparent Flexible Organic Photovoltaic Solar Cell
Guedes, Andre F. S.; Tartari, Simone (Brazil)
ABSTRACT:
The development of transparent flexible organic photovoltaic solar cells, using an optically transparent substrate material and organic semiconductor materials, has been widely utilized by the electronic industry when producing new technological products. The transparent flexible organic photovoltaic solar cell are the base Poly (3,4-ethylenedioxythiophene), PEDOT, Poly(3-hexyl thiophene, P3HT, Phenyl-C61-butyric acid methyl ester, PCBM and Polyaniline, PANI, were deposited in Indium Tin Oxide, ITO, and characterized by Electrical Measurements and Scanning Electron Microscopy (SEM). In addition, the thin film obtained by the deposition of PANI, prepared in perchloric acid solution, was identified through PANI-X1. The result obtained by electrical Measurements has demonstrated that the PET/ITO/PEDOT:PSS/P3HT:PCBM Blend/ PANI-X1/ITO/PET layer presents the characteristic curve of standard solar cell after spin-coating and electrodeposition. The Thin film obtained by electrodeposition of PANI-X1 on P3HT/PCBM Blend was prepared in perchloric acid solution. These transparent flexible organic photovoltaic solar cells presented power conversion efficiency of 12%. The inclusion of the PANI-X1 layer reduced the effects of degradation these organic photovoltaic panels induced for solar irradiation. In Scanning Electron Microscopy (SEM) these studies reveal that the surface of PANI-X1 layers is strongly conditioned by the surface morphology of the dielectric.
Project Management Strategy Applied to Software and Virtual Reality Project Development
França, Mauro Borges; Melazzo, José Júlio Morais; Cardoso, Alexandre; Lamounier, Edgard; Lima, Gerson Flávio Mendes de (Brazil)
ABSTRACT:
Projects are temporary efforts aimed at getting a final product, whether it is a team or just a designer. These are present in business environments and can result in success or failure. Due to this bias, studies of techniques and methods are a great challenge for researchers, so this paper presents a proposal for a project management strategy applied to Virtual Reality. An opensource tool accompanies your application where the whole team has access to information. As a result, it is expected a development in management strategies, which are focused on team communication, organization and greater efficiency in delivering results.
Proposal for Sustainable Smart City Indicators
Teixeira, João Vitor Souza *; Baracho, Renata Maria Abrantes *; Mullarkey, Matthew T. ** (* Brazil, ** United States)
ABSTRACT:
Human concentration in urban environs is under intense investigation as city leaders and urban planners attempt to develop and deliver services to these people. Urban design to service the needs of large concentrations of people faces significant social, technical, environmental, and economic challenges. Urban design and city service delivery is being transformed by Digital Innovation (DI). At its core, DI is driven by the collection, analysis and dissemination of increasing complex data. The transformation of data into information that informs these city leaders and planners is fundamental to the design of any “Smart” City. In this paper we present a novel approach to identifying the DI transformation of Smart Cities. We build a functional indicator model grounded in sociotechnical (Smart), socio-environmental (Sustainable), and socio-economic (Quality of Life) informed by sixteen specific Service Themes. We find that the framework offers cities an ability to quantify performance, target investments, and benchmark DI evolution to improve Smart, Sustainable, Quality of Life design for cities. This model extends the typical Smart City framework through the inclusion of the two other social transformation activities critical to meeting needs of the population. The resulting proposal contains indicators of smart city, sustainability and quality of life.
Resource and Process Management with a Decision Model Based on Fuzzy Logic
Fornerón Martínez, Jorge Tomás *; Agostini, Federico **; La Red Martínez, David L. ** (* Paraguay, ** Argentina)
ABSTRACT:
In distributed processing systems it is often necessary to coordinate the allocation of shared resources that should be assigned in the processes in the modality of mutual exclusion; in such cases, the order in which the shared resources will be assigned in the processes that require them must be decided; in this paper we propose an aggregation operator (which could be used by a shared resources manager module) that will decide the order of allocation of the resources to the processes considering the requirements of the processes (shared resources) and the state of the distributed nodes where the processes operate (their computational load), all of that using 2-tuples with linguistic labels.
Solving Optimal Batch Size Considering Partial Outsourcing Plan and Rework Without Derivatives
Chiu, Yuan-Shyi Peter; Chiu, Singa Wang; Zhao, Zhong-Yun; Lian, Jian-Hua; Ke, Chih-Yun (Taiwan)
ABSTRACT:
The optimal batch size for a fabrication system with outsourcing policy and rework was explored by Chiu et al. [1] by the use of the first- and second-derivative in their solution processes. Instead of applying the differential calculus approach, this study introduces a simplified algebraic approach to resolve the same problem and shows that the optimal lot-size can be gained algebraically. Such a simple and straightforward approach allows practitioners in production management field to learn, comprehend, and determine the optimal operating policy with ease.
[1] Chiu, Y-S.P., Liu, C-J., Hwang, M-H. 2017. Optimal batch size considering partial outsourcing plan and rework. Jordan Journal of Mechanical and Industrial Engineering 11(3): 195-200.
Switching of a Perpendicularly Magnetized Free-Layer by Spin-Orbit-Torques with Reduced Currents
Orio, R.L. de; Makarov, A.; Goes, W.; Ender, J.; Fiorentini, S.; Selberherr, S.; Sverdlov, V. (Austria)
ABSTRACT:
A purely electrical, magnetic field-free switching of a perpendicularly magnetized free layer via spin-orbit torque is investigated based on a numerical analysis by micromagnetic simulations. The memory cell is positioned at the intersection of two heavy metal lines with large spin-orbit torques. The switching is accomplished by the application of two current pulses. Using a cell structure with a reduced second heavy metal width, yielding a partial contact between the magnetic free layer and the second metal wire, allows a reduction of the writing current, which results in a lower power consumption. At the same time, fast and robust switching is obtained. Moreover, since the switching is rather insensitive to the write pulses’ duration, it is possible to use shorter current pulses. This additionally contributes to a reduction of the power consumption for the writing operation.
The Data Mining and Machine Learning Techniques for Identifying Fraud Using Private Transport App
Pracidelli, Lilian; Lopes, Fábio (Brazil)
ABSTRACT:
Fraud can be defined as an illicit activity applied with the intention of obtaining financial benefits without considering the consequences of this act. With the digital transformation over the years and the recent expansion made possible by the use of different applications, we can see a significant change of various businesses and the diversification of electronic payments that contributed to companies suffering even more from fraud, as well as the increase in credit card payments that contributed to this growth. The objective of this dissertation was to propose a fraud detection based on the identification of behavioral patterns in the race bases of an application transport company and to consider the construction of artifact that can minimize the problem using unsupervised and supervised algorithms based on machine learning techniques.
The State of Agile: Changes in the World of Change
Marlowe, Thomas J.; Kirova, Vassilka; Chang, Garett (United States)
ABSTRACT:
Agile software development is an approach that began with the Agile Manifesto. This was a statement of core values that became associated with a set of principles and practices. Key ideas include early and constant customer involvement, self-organizing teams that embrace change, rapid delivery of value, short timeboxed iterations coordinated by a Product Backlog and driven by “user stories” and use cases, clean test-driven development, and continuous integration. The values, principles and practices have permeated the technical and business world, translated and modified to fit many domains, affecting both production and management. But as with any good idea, agility can be misinterpreted, or used when inappropriate. Even a proper implementation must be tempered with good understanding of the domain, overall context and appropriateness of selected agile practices. In this paper, we briefly trace the evolution of agile methods, placing them within a wider organizational framework, and offer guidelines for their use.
Time Series Modeling of Lifespans of Earth Satellites
Batthula, Venkata Jaipal Reddy; Segall, Richard S.; Berleant, Daniel; Kodali, Venkat; Howell, Michael; Aboudja, Hyacinthe (United States)
ABSTRACT:
Numerous countries have satellites for various needs like communication, weather forecasting and security. The first satellite was launched into space in 1957. Thousands of satellites’ lifetimes have already ended but many of these satellites are still in orbit although no longer functional. Nevertheless, satellite technology is improving compared with the past. We seek to understand trends in improvements to satellites related to their lifespans better, using a new dataset that has not been available before for this article, as part of a project that also analyzes other relevant data sets.
The main aim of this paper is to analyze the satellite data with data visualization tools and find some significant patterns in the data. The paper explores the average lifespan of satellites over the period of artificial satellites, 1957 to present.
Tourism Profiling: A Semi-automatic Classification Model of Points of Interest
Magalhães, Amarildo Martins de *; Baracho, Renata Maria Abrantes *; Mandl, Thomas ** (* Brazil, ** Germany)
ABSTRACT:
Reviews are a powerful source of information that helps tourists in their decision-making process. However, using this volume of data to make decisions it is time consuming. For example, the city Foz do Iguaçu, located in Brazil, has more than 44k reviews on TripAdvisor. Based on these opinions, how could a tourist understand if this attraction is good for families, a romantic date, or if it offers a good outdoor experience? Moreover, which other attractions could offer similar experiences? These questions motivated this research, as we try to address the problem of classifying tourism attractions/destinations in profiles. We proposed a hybrid approach, using experts’ knowledge and machine-learning with semi-automatic classification models to solve the problem. This paper presents a new approach to classify tourism attractions in profiles using reviews. Our findings show that, the most visited places are not necessarily the most relevant to a specific profile and as such the corresponding group of tourists. Understanding these profiles can aid the discovery or the selection of a travel destination. In addition, it allows governments and the private sector to target tourism marketing actions in the most assertive way.
Unsupervised Concurrent Learning for Large-Scaled Cortex-Like Mapping and 3d Facial Surface Modeling
Wu, Jiann-Ming; Lin, Yu-Jie (Taiwan)
ABSTRACT:
This work presents an unsupervised concurrent learning process toward organizing many second-level elastic nets for large-scaled cortex-like mapping and 3D facial surface modeling. Fitting high-dimensional patterns to grid-organized Gaussian mixtures naturally induces Voronoi partition to the original feature space as well as neighboring relations among partitioned subspaces. Each secondary elastic net corresponds to a partitioned subspace. It connects other secondary elastic nets according to neighboring relations of partitioned subspaces, adapting nodes based on boundary conditions proposed by connected nodes of its neighboring secondary elastic nets following the minimal wiring and maximal fitting criteria. The proposed unsupervised concurrent learning process optimizes all secondary elastic nets simultaneously under physical-like annealing for emulating formation of essential large-scaled cortex-like mapping and empirically modeling 3D facial surfaces.
Use Risk Evaluation Engine Spanning IAM Lifecycle to Secure API
Djosic, Nebojsa; Nokovic, Bojan; Sharieh, Salah; Zheng, Bingzhou (Canada)
ABSTRACT:
We describe a technique to improve Identity and Access Management (IAM) to secure Application Programming Interface (API). This technique uses a risk evaluation engine based on Machine Learning (ML) spanning the lifecycle of an API. The process has three layers of risk estimations. The first layer is the early warning module before end user’s credentials are known. The second layer is the middle risk evaluation module with user’s SignUp/SignIn information. The third layer is the final risk evaluation module with user’s real-time access information after user access is granted. The risk module (RM) of each layer may incrementally calculate a risk score and pass it into the decision engine (DE). The DE determines an action, i.e. informing the user about unusual activity, requiring additional verification, disable access, etc., bases on the current available risk evaluation. Both RM and DE use supervised machine learning models to determine risk score and the appropriate action. The goal is to significantly reduce false-positive responses and eliminate a true-negative user’s identification without impact to the user’s interaction.
Using Incremental Direction Searches to Stay Away From COVID-19
Hu, Wen-Chen; Kaabouch, Naima (United States)
ABSTRACT:
The COVID-19 pandemic causes a world catastrophe, but it also creates many research opportunities at the same time. Because of the COVID-19, people try to keep social distances and avoid the “hotspots” as much as possible. However, it is easier said than done since coronavirus is everywhere. This research uses incremental direction searches to find a “best” route to stay away from COVID-19 when traveling. Incremental direction searches are a progressive search, which finds the next changing direction as the subject moves. It begins the searching as soon as the subject starts moving. Intersection-by-intersection, possible directions away from the current path may be found and immediately presented. This immediate feedback allows the searching to take appropriate actions such as selecting a specific direction or terminating the searching. Preliminary experiment results show the proposed method is effective, but many details need to be filled in before it is put to work.
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