Tutorial: Mobile BI

Smartphones and tablets are ubiquitous for personal use and are increasingly employed for business purposes. When paired with business intelligence to create mobile BI, workers are able to access information wherever they are, at any time, and through a variety of devices. This use has the potential to increase employee productivity, enhance customer service and satisfaction, improve decision making, provide a competitive advantage, and improve the bottom line. Mobility can make BI pervasive throughout an organization, but it is most likely to be used by executives, mid-level and operational managers, sales representatives, and field and internal technicians. To be successful with mobile BI, we must address various issues and challenges such as creating a roadmap, getting started right, meeting user expectations, creating an appropriate technology infrastructure, designing for screen size, and providing for security. Case studies of U.S.Xpress, a leading trucking company, and GUESS, a leading retailer of clothing and accessories, provide many real-world examples of the concepts, options, and best practices associated with mobile BI. Following mainframe, client/server, and Web-based approaches, mobile BI is the fourth generation of how information is delivered

Developing IncidentUI -- A Ride Comfort and Disengagement Evaluation Application for Autonomous Vehicles

This report details the design, development, and implementation of IncidentUI, an Android tablet application designed to measure user-experienced ride comfort and record disengagement data for autonomous vehicles (AV) during test drives. The goal of our project was to develop an Android application to run on a peripheral tablet and communicate with the Drive Pegasus AGX, the AI Computing Platform for Nvidia's AV Level 2 Autonomy Solution Architecture [1], to detect AV disengagements and report ride comfort. We designed and developed an Android XML-based intuitive user interface for IncidentUI. The development of IncidentUI required a redesign of the system architecture by redeveloping the system communications protocol in Java and implementing the Protocol Buffers (Protobufs) in Java using the existing system Protobuf definitions. The final iteration of IncidentUI yielded the desired functionality while testing on an AV test drive. We also received positive feedback from Nvidia's AV Platform Team during our final IncidentUI demonstration.Comment: Previously embargoed by Nvidia. Nvidia owns the right

Point Clipping Algorithm on Employee Presence Application for Geolocation of Employee Position

In organizations, companies or agencies such as the Office of Communication and Information Technology, presence has become one of the critical things in assessing the performance of workers/employees. There are several ways to do attendance, where one of them can facilitate the present process with digital tools/machines such as smartphones that utilize the GPS feature to run APIs such as Google Geolocation on Android. Also, a system is needed that can manage the results of the present process, such as web-based applications that can also be accessed through either a computer or smartphone. Therefore, the need to build a presence application both in the presence and in management that can help agencies such as Office of Communication and Information (Diskominfo) to handle internal processes, especially in the management of its employees. In this study, the application in the construction of its application is used Point Clipping algorithm as a tool for the present process that can take advantage of the GPS feature. Based on the results of the tests conducted, the accuracy value of the incoming and returning attendance process was obtained in the location area with an average of each side of the area of approximately 11.21 meters at the entry point and 18.05 meters at the presence of going home outside the office, where the location area boundary outside the specified office which is around 15 meters and the time test is obtained the time delay value in the attendance process with an average of each side of the area of about 9.6 seconds at the incoming attendance and 8.3 seconds at the home attendance

Monitoring Rural Water Points in Tanzania with Mobile Phones:The Evolution of the SEMA App

Development professionals have deployed several mobile phone-based ICT (Information and Communications Technology) platforms in the global South for improving water, health, and education services. In this paper, we focus on a mobile phone-based ICT platform for water services, called Sensors, Empowerment and Accountability in Tanzania (SEMA), developed by our team in the context of an action research project in Tanzania. Water users in villages and district water engineers in local governments may use it to monitor the functionality status of rural water points in the country. We describe the current architecture of the platform’s front-end (the SEMA app) and back-end and elaborate on its deployment in four districts in Tanzania. To conceptualize the evolution of the SEMA app, we use three concepts: transaction-intensiveness, discretion and crowdsourcing. The SEMA app effectively digitized only transaction-intensive tasks in the information flow between water users in villages and district water engineers. Further, it resolved two tensions over time: the tension over what to report (by decreasing the discretion of reporters) and over who should report (by constraining the reporting “crowd”)

Artificial neural network (ANN) enabled internet of things (IoT) architecture for music therapy

Alternative medicine techniques such as music therapy have been a recent interest of medical practitioners and researchers. Significant clinical evidence suggests that music has a positive influence over pain, stress and anxiety for the patients of cancer, pre and post surgery, insomnia, child birth, end of life care, etc. Similarly, the technologies of Internet of Things (IoT), Body Area Networks (BAN) and Artificial Neural Networks (ANN) have been playing a vital role to improve the health and safety of the population through offering continuous remote monitoring facilities and immediate medical response. In this article, we propose a novel ANN enabled IoT architecture to integrate music therapy with BAN and ANN for providing immediate assistance to patients by automating the process of music therapy. The proposed architecture comprises of monitoring the body parameters of patients using BAN, categorizing the disease using ANN and playing music of the most appropriate type over the patient’s handheld device, when required. In addition, the ANN will also exploit Music Analytics such as the type and duration of music played and its impact over patient’s body parameters to iteratively improve the process of automated music therapy. We detail development of a prototype Android app which builds a playlist and plays music according to the emotional state of the user, in real time. Data for pulse rate, blood pressure and breath rate has been generated using Node-Red, and ANN has been created using Google Colaboratory (Colab). MQTT broker has been used to send generated data to Android device. The ANN uses binary and categorical cross-entropy loss functions, Adam optimiser and ReLU activation function to predict the mood of patient and suggest the most appropriate type of music

Plataforma de monitorização remota dos parâmetros dos veículos e interações da estrada

With the recent evolution of the Internet of Things (IoT), as in different areas of everyday life, the Automotive Industry has also been having to adapt with the Internet of Vehicles (IoV). In consequence of this, the number of electronic systems and devices in an automobile is ever increasing. By one hand, this is a growing tendency of using these technologies to improve road safety, by decreasing the probability of human error. On the other hand, to guarantee the safety and proper function in the operation of vehicles it becomes necessary to acquire information and monitor these devices, so as to determine the cause of failures that may happen and of the equipment wear to prevent malfunctions and accidents. With that in mind, this work will have two branches. First, a program will be presented to read the data from the vehicle’s diagnostic system with the purpose of storing it in a database by using a data logger and of analysing the data to monitor the engine’s working parameters. With this analysis it will be possible to visualize the main parameters of the car and its devices, acquiring information to define the normal driving conditions so as to determine when some problem occurs, as well as to examine how the parameters change in consequence from the equipment wear. Meanwhile sensors will also be installed in the car that will be used for object detection of possible obstacles that the vehicle may come across in normal conditions, be it another vehicle, a person or objects. The readings acquired by the sensors will also be stored for analysis and treatment in order to get the desired information from them. This work also proposes that all the information stored in the database be easily consulted, in a web page, accessible at any time through any device connected to the internet with a Web browser. Therefore, drivers would be helped with the awareness of the vehicle’s surroundings and also be able to monitor the vehicle’s proper function and discover if problems should appear before it could cause major failures and safety breaches. In order to accomplish those goals, a solution using a LiDAR sensor, a GPS module, a Bluetooth module, an ELM327 diagnostic device and three Esp32 microcontrollers was developed. In this Dissertation will be described the developing processes and the solutions obtained that led to the solution of the problems approached here.Com a recente evolução trazida pela Internet das Coisas (IoT), tal como ocorreu em diversas áreas da vida cotidiana, a Industria Automobilística teve que se reinventar e adaptar, com a Internet dos Veículos (IoV). Consequentemente, o número de sistemas e equipamentos eletrónicos presentes em um automóvel é cada vez maior. Por um lado, é uma tendência crescente o uso dessas tecnologias para garantir a segurança rodoviária, de modo a diminuir a probabilidade de erros humanos. Por outro lado, para ser possível garantir a segurança e o funcionamento adequado dos veículos tornou-se necessário monitorizar estes equipamentos, com o propósito de determinar as causas de possíveis falhas e do desgaste durante o uso destas partes para prevenir falhas e acidentes. Com estes objectivos, o trabalho desenvolvido nessa dissertação terá duas vertentes. Primeiramente, será apresentado um programa usado para ler as informações adquiridas pela centralina do carro com o propósito de armazenar essas informações em uma base de dados por meio de um Data Logger e também de realizar uma análise para monitorizar os parâmetros do motor. Com isto será possível visualizar os principais parâmetros de condução, identificando como seria a condição normal de funcionamento com o propósito de determinar quando há algum problema e para examinar a variação dos parâmetros devido ao desgaste. Enquanto isso, também serão instalados sensores no veículo com o intuito de identificar objetos comuns de serem encontrados em condições normais, sejam estes outros veículos, peões ou ciclistas. As leituras adquiridas também serão armazenadas para análise e tratamento dos dados, para conseguir as informações desejadas. Neste trabalho também é proposto que a informação armazenada na base de dados seja facilmente consultável a partir de uma página Web, acessível a qualquer momento por meio de um equipamento conectado `a Internet e com um Web Browser. Desta forma, os motoristas seriam auxiliados com a perceção dos arredores do veículo e seriam capazes de monitorizar o funcionamento do seu veículo e identificar o aparecimento de problemas antes que estes causem falhas e apresentem maior risco de segurança. Para atingir esses objetivos, foi desenvolvida uma solução utilizando um sensor LiDAR, um módulo GPS, um módulo Bluetooth, um dispositivo de diagnóstico ELM327 e três microcontroladores Esp32. Nesta Dissertação serão descritos os processos de desenvolvimento e as soluções obtidas que levaram à solução dos problemas aqui abordados.Mestrado em Engenharia Mecânic