Visual analytics for law enforcement: deploying a service-oriented analytic framework for web-based visualization

2009 ◽  
Author(s):  
Scott T. Dowson ◽  
Joe Bruce ◽  
Daniel M. Best ◽  
Roderick M. Riensche ◽  
Lyndsey Franklin ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Visual Analytics ◽  
Analytic Framework ◽  
Web Based ◽  
Service Oriented

The Scalable Reasoning System: Lightweight Visualization for Distributed Analytics

2009 ◽  
Vol 8 (1) ◽  
pp. 71-84 ◽  
Author(s):  
William Pike ◽  
Joe Bruce ◽  
Bob Baddeley ◽  
Daniel Best ◽  
Lyndsey Franklin ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Visual Analytics ◽  
Visual Analysis ◽  
Web Based ◽  
Reasoning Strategies ◽  
Reasoning System ◽  
Mobile Interfaces ◽  
Service Oriented ◽  
Distributed Analytics

A central challenge in visual analytics is the creation of accessible, widely distributable analysis applications that bring the benefits of visual discovery to as broad a user base as possible. Moreover, to support the role of visualization in the knowledge creation process, it is advantageous to allow users to describe the reasoning strategies they employ while interacting with analytic environments. We introduce an application suite called the scalable reasoning system (SRS), which provides web-based and mobile interfaces for visual analysis. The service-oriented analytic framework that underlies SRS provides a platform for deploying pervasive visual analytic environments across an enterprise. SRS represents a ‘lightweight’ approach to visual analytics whereby thin client analytic applications can be rapidly deployed in a platform-agnostic fashion. Client applications support multiple coordinated views while giving analysts the ability to record evidence, assumptions, hypotheses and other reasoning artifacts. We describe the capabilities of SRS in the context of a real-world deployment at a regional law enforcement organization.

scholarly journals Web-Based Simulation Environment for Vehicular Electrical Networks

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6087
Author(s):  
Xavier Dominguez ◽  
Paola Mantilla-Pérez ◽  
Nuria Gimenez ◽  
Islam El-Sayed ◽  
Manuel Alberto Díaz Díaz Millán ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Distribution Systems ◽  
Software Tool ◽  
Automatic Generation ◽  
Electrical Networks ◽  
Web Based ◽  
Electrical Distribution Systems ◽  
Technical Requirements ◽  
Information Interaction

For the validation of vehicular Electrical Distribution Systems (EDS), engineers are currently required to analyze disperse information regarding technical requirements, standards and datasheets. Moreover, an enormous effort takes place to elaborate testing plans that are representative for most EDS possible configurations. These experiments are followed by laborious data analysis. To diminish this workload and the need for physical resources, this work reports a simulation platform that centralizes the tasks for testing different EDS configurations and assists the early detection of inadequacies in the design process. A specific procedure is provided to develop a software tool intended for this aim. Moreover, the described functionalities are exemplified considering as a case study the main wire harness from a commercial vehicle. A web-based architecture has been employed in alignment with the ongoing software development revolution and thus provides flexibility for both, developers and users. Due to its scalability, the proposed software scheme can be extended to other web-based simulation applications. Furthermore, the automatic generation of electrical layouts for EDS is addressed to favor an intuitive understanding of the network. To favor human–information interaction, utilized visual analytics strategies are also discussed. Finally, full simulation workflows are exposed to provide further insights on the deployment of this type of computer platforms.

scholarly journals E-scape: Interactive visualization of single cell phylogenetics and spatio-temporal evolution in cancer

2016 ◽  
Author(s):  
Maia A. Smith ◽  
Cydney Nielsen ◽  
Fong Chun Chan ◽  
Andrew McPherson ◽  
Andrew Roth ◽  
...  
Keyword(s):  
Single Cell ◽  
Visual Analytics ◽  
Domain Knowledge ◽  
Treatment Resistance ◽  
Cancer Evolution ◽  
Imaging Data ◽  
Web Based ◽  
Clinical Endpoints ◽  
Cell Experiment ◽  
Spatio Temporal

Inference of clonal dynamics and tumour evolution has fundamental importance in understanding the major clinical endpoints in cancer: development of treatment resistance, relapse and metastasis. DNA sequencing technology has made measuring clonal dynamics through mutation analysis accessible at scale, facilitating computational inference of informative patterns of interest. However, currently no tools allow for biomedical experts to meaningfully interact with the often complex and voluminous dataset to inject domain knowledge into the inference process. We developed an interactive, web-based visual analytics software suite called E-scape which supports dynamically linked, multi-faceted views of cancer evolution data. Developed using R and javascript d3.js libraries, the suite includes three tools: TimeScape and MapScape for visualizing population dynamics over time and space, respectively, and CellScape for visualizing evolution at single cell resolution. The tool suite integrates phylogenetic, clonal prevalence, mutation and imaging data to generate intuitive, dynamically linked views of data which update in real time as a function of user actions. The system supports visualization of both point mutation and copy number alterations, rendering how mutations distribute in clones in both bulk and single cell experiment data in multiple representations including phylogenies, heatmaps, growth trajectories, spatial distributions and mutation tables. E-scape is open source and is freely available to the community at large.

scholarly journals COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7991
Author(s):  
Jon Kerexeta Sarriegi ◽  
Andoni Beristain Iraola ◽  
Roberto Álvarez Sánchez ◽  
Manuel Graña ◽  
Kristin May Rebescher ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Visual Analytics ◽  
Web Application ◽  
Adult Population ◽  
Research Area ◽  
Web Based ◽  
Virtual Coaching ◽  
Evolution Analysis ◽  
Older Adult Population

The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.

Patterns for Migration of SOA Based Applications to Microservices Architecture

2021 ◽  
Author(s):  
Vinay Raj ◽  
Ravichandra Sadam
Keyword(s):  
Programming Languages ◽  
Service Oriented Architecture ◽  
Legacy Systems ◽  
Loose Coupling ◽  
Enterprise Service Bus ◽  
Web Based ◽  
Enterprise Applications ◽  
Service Oriented ◽  
Key Features ◽  
Microservice Architecture

Service oriented architecture (SOA) has been widely used in the design of enterprise applications over the last two decades. Though SOA has become popular in the integration of multiple applications using the enterprise service bus, there are few challenges related to delivery, deployment, governance, and interoperability of services. To overcome the design and maintenance challenges in SOA, a new architecture of microservices has emerged with loose coupling, independent deployment, and scalability as its key features. With the advent of microservices, software architects have started to migrate legacy systems to microservice architecture. However, many challenges arise during the migration of SOA to microservices, including the decomposition of SOA to microservice, the testing of microservices designed using different programming languages, and the monitoring the microservices. In this paper, we aim to provide patterns for the most recurring problems highlighted in the literature i.e, the decomposition of SOA services, the size of each microservice, and the detection of anomalies in microservices. The suggested patterns are combined with our experience in the migration of SOA-based applications to the microservices architecture, and we have also used these patterns in the migration of other SOA applications. We evaluated these patterns with the help of a standard web-based application.

Integrated Supply Chain Intelligence through Collaborative Planning, Analytics and Monitoring

2011 ◽  
pp. 43-92 ◽  
Author(s):  
Nenad Stefanovic ◽  
Dusan Stefanovic ◽  
Bozidar Radenkovic
Keyword(s):  
Supply Chain ◽  
Performance Management ◽  
Business Intelligence ◽  
Service Oriented Architecture ◽  
Collaborative Planning ◽  
Research Trends ◽  
Future Research ◽  
Web Based ◽  
Service Oriented ◽  
Integrated Supply Chain

As supply chains are growing increasingly complex, from linear arrangements to interconnected, multi-echelon, collaborative networks of companies, there is much more information that needs to be stored and analyzed than there was just a few years ago. Today, there are variety of business initiatives and technologies such as joint planning and execution, business intelligence, performance management, data mining and alerting that can be used for more efficient supply chain management. However, organizations still lack methods, processes and tools to successfully design and implement these systems. In this chapter, the authors present the integrated supply chain intelligence (SCI) system that enables collaborative planning and decision making through web-based analytics and process monitoring. The system is process based and utilizes business intelligence and Internet technologies. Multi-layered and service-oriented architecture enables composition of the new breed of SCI applications. They describe main elements and capabilities of the system, its advantages over existing systems and also discuss future research trends and opportunities.

scholarly journals Visual Evidence: Increasing Usability of Systematic Reviews in Health Systems Guidelines Development

2019 ◽  
Vol 10 (04) ◽  
pp. 743-750 ◽  
Author(s):  
Connor J. Smith ◽  
Rebecca M. Jungbauer ◽  
Annette M. Totten
Keyword(s):  
Systematic Review ◽  
Systematic Reviews ◽  
Visual Analytics ◽  
Dynamic Visualization ◽  
Static Structure ◽  
Web Based ◽  
Guidelines Development ◽  
Potential Benefits ◽  
Visualization Of Data ◽  
Aid Decision

Abstract Background Integration of evidence from systematic reviews is an essential step in the development of clinical guidelines. The current practice for reporting uses a static structure that does not allow for dynamic investigation. A need exists for an alternate reporting modality to facilitate dynamic visualization of results to match different end-users' queries. Objectives We developed a dynamic visualization of data from a systematic review using the commercial product Tableau and assessed its potential to permit customized inquiries. Methods Data were selected and extracted from a previously completed systematic review. The resulting dataset was then used to develop an interactive, web-based report designed for use by a guidelines development committee. Results A novel example of combining existing reporting standards for systematic review data and modern reporting tools was developed to investigate potential benefits of a dynamic report. Demonstrations of the report to clinicians sitting on previous and future guideline committees received positive feedback for its potential benefit in guidelines development. The report received a runner-up award during the design challenge at the 2018 Workshop on Visual Analytics in Health Care. Conclusion The use of interactive, accessible data may increase the use of systematic reviews and aid decision makers in developing evidence-based practice changes.

Sign in / Sign up

Export Citation Format

Share Document