MTsim (Mobile Traffic Simulator) is an Ericsson AB internal software application that is part of 2Gsim. It is used to simulate elements of a GSM (Global System for Mobile communications) network for feature testing and automated testing. It is written in the programming language TSS Language, also known as SMILE which is a proprietary Ericsson programming language. SMILE is based on the principles of state matrix programming which in essence means that each program is on its own a finite state machine. The language is old and was originally intended as a macro language for smaller test programs, not for applications the size of MTsim. It is of interest to evaluate the feasibility of performing an automatic conversion of applications written in SMILE, with special interest in converting MTsim, to a Java framework since Java has many advantages compared to SMILE. Java, as a language, is well suited for larger applications, there are numerous well supported tools and there is a much wider spread competence than there is for SMILE. It is clear that in order to do a full conversion of a SMILE program to a Java framework two applications must be implemented. First a Java framework, which acts as a run time environment, must be designed which can host the translated programs. The other part is an actual translator which takes a SMILE program as input and ouputs a translated Java program. A more sophisticated framework is preferred since it makes the actual translated programs more light weight and easy to read which means higher degree of maintainability. There are different ways to implement state machines in Java but the most flexible and versatile is to implement it as a black-box framework in an object oriented way where the framework has sophisticated mechanisms for message and event handling which is central to any state machine framework. The translation for SMILE can easily be done by using a AST (abstract syntax tree) representation, which is a full representation of the SMILE program in tree-form. The AST is obtained from an intermediate state of the SMILE program compiler.

<p>The web and digital technologies have been continuously growing in the recent five years. The data generated from the Internet of Things (IoT) devices are heterogeneous, increasing data storage and management difficulties. The thesis developed user-friendly data management system frameworks in the local environment and cloud platform. The two frameworks applied to two applications in the industrial field: the agriculture informatics system and the personal healthcare management system. The systems are capable of information management and two-way communication through a user-friendly interface. </p>

Indiana University-Purdue University Indianapolis (IUPUI) / The Energy Monitoring Framework, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology. The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely. The main objectives of the project include the following: • Set up a wireless network using sensors and smart implants with a base station/ controller. • Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency. • Set up a generalized interface to collect and process the sensor data values and store the data in a database. • Design and develop a generic database compatible with various companies irrespective of the type and size. • Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment. The General Structure of the project constitutes the following components: • A wireless sensor network with a base station. • An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators. • A cloud that hosts a database and an API to collect and store information. • A web application hosted in the cloud to provide an interactive platform for users to analyze the data. The project was demonstrated in: • Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/). • Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/). • A company in Indiana. The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.