Visualizing Population Density Based On Wifi Router Location and Network Usage

This research paper introduces a prototype of a feature for Robert E. Kennedy’s maps web application. The feature visualizes population density based off wifi router location and network usage within the building. The significance of the feature is noted by documenting the library’s transition into a hub for student life and campus culture, which increases the space’s occupancy and visitor retention for a longer time. The feature is based off a Voronoi diagram map distribution which strongly affects its technical and visual implementation. The end product is user tested by Cal Poly students and received a 93.5% satisfaction rate

Using location-based services to improve mental health interventions

Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesThe rapid developments in the functionalities of smartphones and technological innovations play a vital role in providing location-based services in healthcare. A mental health sensor-based software platform has been developed by the Geospatial Technologies research group (Geotec), consisting of an application generation framework that offers basic geospatial building blocks (location tracking, trajectory recording, geo-fencing), communication building blocks (notifications) and a basic visualization of collected data for therapists. The framework has been successfully tested for building an application to treat agoraphobia, addiction, and depression, using location-based notifications. However, defining the places of interest for a patient is addressed to a limited extent only. Thus, therapists have difficulties of identifying and defining multiple places of interest, and the generated apps were therefore mostly limited to single places of interest, which were manually defined. Hence, they are difficult to use in larger areas. This thesis aims to use a location-based service to support therapists in defining places of interest, based on location and place categories. The work is carried out as an extension of the SYMPTOMS platform, and it allows therapists to define multiple places of interest automatically and for larger areas. The added value of the approach (in terms of automation, ease of use, and universally usable of therapies) by the location-based services in improving mental health interventions is evaluated. As a result, the application was found to be usable with SUS score of 91.875 and useful for therapists to define multiple places of interest at the same time which simplifies the configuration process and makes therapies universally usable. Reproducibility self-assessment (https://osf.io/j97zp/): 2, 2, 1, 2, 2 (input data, pre-processing, methods, computational environment, results)

Workflow Web Application Design

We worked with Angelo Gordon & Co. IT Department to optimize both the candidate-searching and on-boarding processes. The goal of this project is to design a business tracking system that deals with position seeking, candidate selecting procedures, and provides data storage and extensive future use. Angelo Gordon Hire Direct is considered as a workflow web app to initiate candidate seeking for consulting positions, exchange and store vendor or candidate information, schedule for interviews and make final candidate selections. AGHD should provide proofs when being reviewed by the Legal Department for purposes of being just, fair and open. Along with the functionalities and goals, it helps standardize the process, reduce the workload, and store information for future references

International conference on software engineering and knowledge engineering: Session chair

The Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018) will be held at the Hotel Pullman, San Francisco Bay, USA, from July 1 to July 3, 2018. SEKE2018 will also be dedicated in memory of Professor Lofti Zadeh, a great scholar, pioneer and leader in fuzzy sets theory and soft computing. The conference aims at bringing together experts in software engineering and knowledge engineering to discuss on relevant results in either software engineering or knowledge engineering or both. Special emphasis will be put on the transference of methods between both domains. The theme this year is soft computing in software engineering & knowledge engineering. Submission of papers and demos are both welcome

Whitelisting System State In Windows Forensic Memory Visualizations

Examiners in the field of digital forensics regularly encounter enormous amounts of data and must identify the few artifacts of evidentiary value. The most pressing challenge these examiners face is manual reconstruction of complex datasets with both hierarchical and associative relationships. The complexity of this data requires significant knowledge, training, and experience to correctly and efficiently examine. Current methods provide primarily text-based representations or low-level visualizations, but levee the task of maintaining global context of system state on the examiner. This research presents a visualization tool that improves analysis methods through simultaneous representation of the hierarchical and associative relationships and local detailed data within a single page application. A novel whitelisting feature further improves analysis by eliminating items of little interest from view, allowing examiners to identify artifacts more quickly and accurately. Results from two pilot studies demonstrates that the visualization tool can assist examiners to more accurately and quickly identify artifacts of interest

An Implementation of KPI-ML to a Multi-Robot Line Simulator

Emergence of highly competitive markets have led to more deep and thorough evaluation of performances across the manufacturing industry to enhance the efficiency of production processes. Manufacturing industry across the globe have been using different performance indicators and measuring terminologies for performance evaluation. This diversity deters evaluating and comparing manufacturing industries performance on a global scale and thus limiting industry collaboration. To define key performance indicators and general terminologies that are applicable in manufacturing operations management level of manufacturing industries, the International Standards Organization (ISO) developed the ISO 22400 standard. The Manufacturing Enterprise Solutions Association (MESA) international, an international association for manufacturing solutions, takes forward the work done of defining Key Performance Indicators (KPIs) by developing a Markup Language (ML) that represents the data models for the KPIs defined in ISO 22400 standards in an Extensible Markup Language (XML) schemas format. This language is formally known as KPIML. This thesis implements several the key performance defined in ISO 22400 standards to monitor the performance and efficiency of a real-world production line. In addition, this research work demonstrates the visualization of the implemented performance indicators in the form of different graphs. This visualization aids the management to analyze and evaluate the performance of production line in run time. A knowledge-based system is designed on data models present in KPIML for the implemented KPIs, which can easily be extended. Moreover, keeping in view the varying nature of manufacturing industry, the implementation of this research work allows users to model their own KPIs, which are specifically applicable to their use case and able to visualize them in run time

Open MCT Web Developer Guide

The purpose of this guide is to familiarize software developers with the Open MCT Web platform

Top tools for Data Visualisation in web development : a performance first approach

The purpose of this final year project was to deliver a visualisation based solution for the game analytics company, Game Refinery. The company’s platform presents a handful of reviews for games based on features with an additional chart that shows the rank of games in stores. Due to the slowness of the charts on the platform, multiple types of performance testing mechanisms were implemented to optimize the charts and the ways the system runs them. The focal point of the thesis is testing the performance of different charting libraries based on their user friendliness, features, functionalities, customisability, architecture, scalability, compatibility and performance. The project also put emphasis on performance optimization in web development and proper implementation of data visualization in web applications