Map matching by using inertial sensors: literature review

This literature review aims to clarify what is known about map matching by using inertial sensors and what are the requirements for map matching, inertial sensors, placement and possible complementary position technology. The target is to develop a wearable location system that can position itself within a complex construction environment automatically with the aid of an accurate building model. The wearable location system should work on a tablet computer which is running an augmented reality (AR) solution and is capable of track and visualize 3D-CAD models in real environment. The wearable location system is needed to support the system in initialization of the accurate camera pose calculation and automatically finding the right location in the 3D-CAD model. One type of sensor which does seem applicable to people tracking is inertial measurement unit (IMU). The IMU sensors in aerospace applications, based on laser based gyroscopes, are big but provide a very accurate position estimation with a limited drift. Small and light units such as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very popular, but they have a significant bias and therefore suffer from large drifts and require method for calibration like map matching. The system requires very little fixed infrastructure, the monetary cost is proportional to the number of users, rather than to the coverage area as is the case for traditional absolute indoor location systems.

Depth sensors in augmented reality solutions. Literature review

The emergence of depth sensors has made it possible to track – not only monocular cues – but also the actual depth values of the environment. This is especially useful in augmented reality solutions, where the position and orientation (pose) of the observer need to be accurately determined. This allows virtual objects to be installed to the view of the user through, for example, a screen of a tablet or augmented reality glasses (e.g. Google glass, etc.). Although the early 3D sensors have been physically quite large, the size of these sensors is decreasing, and possibly – eventually – a 3D sensor could be embedded – for example – to augmented reality glasses. The wider subject area considered in this review is 3D SLAM methods, which take advantage of the 3D information available by modern RGB-D sensors, such as Microsoft Kinect. Thus the review for SLAM (Simultaneous Localization and Mapping) and 3D tracking in augmented reality is a timely subject. We also try to find out the limitations and possibilities of different tracking methods, and how they should be improved, in order to allow efficient integration of the methods to the augmented reality solutions of the future.

BotCloud Detection System

Leveraging cloud services, companies and organizations can significantly improve their efficiency, as well as building novel business opportunities. Cloud computing offers various advantages to companies while having some risks for them too. Advantages offered by service providers are mostly about efficiency and reliability while risks of cloud computing are mostly about security problems. Problems with security of the cloud still demand significant attention in order to tackle the potential problems. Security problems in the cloud as security problems in any area of computing, can not be fully tackled. However creating novel and new solutions can be used by service providers to mitigate the potential threats to a large extent. Looking at the security problem from a very high perspective, there are two focus directions. Security problems that threaten service user’s security and privacy are at one side. On the other hand, security problems that threaten service provider’s security and privacy are on the other side. Both kinds of threats should mostly be detected and mitigated by service providers. Looking a bit closer to the problem, mitigating security problems that target providers can protect both service provider and the user. However, the focus of research community mostly is to provide solutions to protect cloud users. A significant research effort has been put in protecting cloud tenants against external attacks. However, attacks that are originated from elastic, on-demand and legitimate cloud resources should still be considered seriously. The cloud-based botnet or botcloud is one of the prevalent cases of cloud resource misuses. Unfortunately, some of the cloud’s essential characteristics enable criminals to form reliable and low cost botclouds in a short time. In this paper, we present a system that helps to detect distributed infected Virtual Machines (VMs) acting as elements of botclouds. Based on a set of botnet related system level symptoms, our system groups VMs. Grouping VMs helps to separate infected VMs from others and narrows down the target group under inspection. Our system takes advantages of Virtual Machine Introspection (VMI) and data mining techniques.

Control of a line robot system with Embedded Linux

Many, if not all, aspects of our everyday lives are related to computers and control. Microprocessors and wireless communications are involved in our lives. Embedded systems are an attracting field because they combine three key factors, small size, low power consumption and high computing capabilities. The aim of this thesis is to study how Linux communicates with the hardware, to answer the question if it is possible to use an operating system like Debian for embedded systems and finally, to build a Mechatronic real time application. In the thesis a presentation of Linux and the Xenomai real time patch is given, the bootloader and communication with the hardware is analyzed. BeagleBone the evaluation board is presented along with the application project consisted of a robot cart with a driver circuit, a line sensor reading a black line and two Xbee antennas. It makes use of Xenomai threads, the real time kernel. According to the obtained results, Linux is able to operate as a real time operating system. The issue of future research is the area of embedded Linux is also discussed.

Co-creating Value For Smart Phone Operating Systems Via Virtual Discussion Forums

In the traditional way, value is created by manufacturer or producer of a product without engaging the customers. So, traditionally value creation is a monopoly in the part of a manufacturer. After gathering all the raw materials the manufacturers are inserting value to a product. And the inserted value is recognized in the time of consuming the product. In the modern time though there is traditional way of value creation but with the increase of more educated, smart, and technically sound customers the idea of value creation has changed. Now, customers are also contributing in value creation as value co-creator even before the product is consumed. This scenario has been encountered in the thesis with the main purpose of how value is cocreated in smart phone operating systems. The purpose is further divided into the following supobjectives: o What is value co-creation in smart phone operating systems? o Who participates in value co-creation in smart phone operating systems? o What are the procedures that are involved in value co-creation in smart phone operating systems? The research was conducted as a qualitative desk study by observing two of the leading smart phone operating system providers. Data has been collected from the official discussion forum of both the operating system providers. Other general concepts relating to the purpose of the study has been encountered through literature review. The research findings reveal that customers and companies both together co-create value of anticipated level when they communicate and interact with each other. However, most of the time customer to customer interactions, dialogues and discussions that come out in the core conversation help the value co-creation. The value co-creation framework sets up the customer at the main focus of value creation theory. By nullifying the inherited notion that companies only create value within its boundary and provide it to their customers in exchange of currencies. Rationally, it has been commenced that the firms are merely compromising value propositions to its customers. But the value has been co-created in a point where offerings are combined and interacted with customers’ capabilities, knowledge, resources and perceptions. This new perspective has radically altered the prospect of firms towards its customers. Typically customers are now taking part in value cocreation as a crucial member.

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM

Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a parallel GP system is discussed. First, a study of suitable GP languages for object classification is presented. Two main GP approaches for visual pattern classification, namely the block-classifiers and the pixel-classifiers, were studied. Results showed that the pixel-classifiers generally performed better. Using these results, a suitable language was selected for the real-time implementation. Synthetic video data was used in the experiments. The goal of the experiments was to evolve a unique classifier for each texture pattern that existed in the video. The experiments revealed that the system was capable of correctly tracking the textures in the video. The performance of the system was on-par with real-time requirements.

Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms

Population-based metaheuristics, such as particle swarm optimization (PSO), have been employed to solve many real-world optimization problems. Although it is of- ten sufficient to find a single solution to these problems, there does exist those cases where identifying multiple, diverse solutions can be beneficial or even required. Some of these problems are further complicated by a change in their objective function over time. This type of optimization is referred to as dynamic, multi-modal optimization. Algorithms which exploit multiple optima in a search space are identified as niching algorithms. Although numerous dynamic, niching algorithms have been developed, their performance is often measured solely on their ability to find a single, global optimum. Furthermore, the comparisons often use synthetic benchmarks whose landscape characteristics are generally limited and unknown. This thesis provides a landscape analysis of the dynamic benchmark functions commonly developed for multi-modal optimization. The benchmark analysis results reveal that the mechanisms responsible for dynamism in the current dynamic bench- marks do not significantly affect landscape features, thus suggesting a lack of representation for problems whose landscape features vary over time. This analysis is used in a comparison of current niching algorithms to identify the effects that specific landscape features have on niching performance. Two performance metrics are proposed to measure both the scalability and accuracy of the niching algorithms. The algorithm comparison results demonstrate the algorithms best suited for a variety of dynamic environments. This comparison also examines each of the algorithms in terms of their niching behaviours and analyzing the range and trade-off between scalability and accuracy when tuning the algorithms respective parameters. These results contribute to the understanding of current niching techniques as well as the problem features that ultimately dictate their success.

Instagram, Social Media, and the "Like": Exploring Virtual Identity's Role in 21st Century Students' New Socialization Experience

Personal technologies and social media use have changed the socialization experience of our 21st century learners. As learners have a new, embodied, virtual identity that is an omnipresent force within their social interactions, this study sought to examine how virtual identity influences student relationships both within and outside of a school context. This study also explored how personal technologies and social media use have influenced learners’ perceptions of their own 21st century learning. Using a qualitative inquiry, purposeful sampling was employed to recruit 6 participants between the ages of 15 to 19 to examine their social networking site use and education experience. Data were collected from single, one-on-one semi-structured interviews in which participants discussed their experiences using social media. Data were also collected from the teens’ personal Instagram accounts, and a personal reflexive researcher’s journal was kept for triangulation of data. Open and axial coding strategies alongside constant comparative methods were used to analyze data. Participants shared how they and their peers use social media, the pressures and expectations from other users, social media’s influence on peer relationships, and how social media influences their choices in the physical realm. All 6 participants explained that their teachers do not talk to them about their social media use, and even offered critiques of the school system itself and its inability to prepare students for the new realities of a digital world. This study concludes that while social media is very influential on students’ socialization, educators should be more concerned about the lack of guidance and support that students receive in school in terms of appropriate social media use and the navigation of virtual identity.