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.

Visual Customer Segmentation and Data Exploration with the Self-Organizing Map

Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.

A new & accurate map of Sweden: collected from the latest improvemts. and adjusted by the most authentic astronl. observations

Teoksessa: A Complete System of Geography /E. Bowen, 1747. Plate 27.

A new map of Denmark, Norway, Sweden & Moscovy, shewing their present general divisions, cheif, cities or towns, rivers, mountains, &c.: dedicated to his highness William Duke of Glocester

0-meridiaani Lontoo: Koordinaattiasteikko: W15°-E85°, N74°30'-48°.

A new map of Sweden and Norway

London, published by James Wyld, Geographer to the Queen & H.R.H. Prince Albert, Charing Cross East & Model of the Earth, Leicester Square.

A new and exact map of Sweden and Norway corrected from the best observations communicated to the Royal Society at London & the Royal Academy at Paris &c.

Kartta leikattu karttakuvaa reunastavan kehyksen ulkorajaa pitkin.

A new map of Europe from the latest observations: inscrib'd to the hono.ble Samuel Molyneux esq. secretary to his R. H. the Prince

0-meridiaani: London.

A new and accurate map of Scandinavia, or the northern crowns of Sweden, Denmark, and Norway: drawn from the most approv'd maps and charts, and adjusted by astronoml. observations

Teoksessa A complete system of geography / E. Bowen, (London) 1747. Plate n:o 25.

An accurate map of Sweden, Denmark, and Norway, from the best authorities by Thos. Bowen

Engraved for Middleton's complete system of geography.

A map or chart of the Gulfs of Finland and Livonia with their respective ports and harbours, together with a large Plan of Kroonstad and St. Petersburg, taken from an original drawing lately sent from St. Petersburg

Sold by M. Senex at the Globe over against St. Dunstans Church in Fleetstreet London.

Probing MST1 Kinase Sequence and Structure for Rational Drug Discovery (Targeting diabetes by blocking protein-protein interactions)

Apoptotic beta cell death is an underlying cause majorly for type I and to a lesser extent for type II diabetes. Recently, MST1 kinase was identified as a key apoptotic agent in diabetic condition. In this study, I have examined MST1 and closely related kinases namely, MST2, MST3 and MST4, aiming to tackle diabetes by exploring ways to selectively block MST1 kinase activity. The first investigation was directed towards evaluating possibilities of selectively blocking the ATP binding site of MST1 kinase that is essential for the activity of the enzymes. Structure and sequence analyses of this site however revealed a near absolute conservation between the MSTs and very few changes with other kinases. The observed residue variations also displayed similar physicochemical properties making it hard for selective inhibition of the enzyme. Second, possibilities for allosteric inhibition of the enzyme were evaluated. Analysis of the recognized allosteric site also posed the same problem as the MSTs shared almost all of the same residues. The third analysis was made on the SARAH domain, which is required for the dimerization and activation of MST1 and MST2 kinases. MST3 and MST4 lack this domain, hence selectivity against these two kinases can be achieved. Other proteins with SARAH domains such as the RASSF proteins were also examined. Their interaction with the MST1 SARAH domain were evaluated to mimic their binding pattern and design a peptide inhibitor that interferes with MST1 SARAH dimerization. In molecular simulations the RASSF5 SARAH domain was shown to strongly interact with the MST1 SARAH domain and possibly preventing MST1 SARAH dimerization. Based on this, the peptidic inhibitor was suggested to be based on the sequence of RASSF5 SARAH domain. Since the MST2 kinase also interacts with RASSF5 SARAH domain, absolute selectivity might not be achieved.