Following the fruitful collaboration between Link Technologies S.A. and Anatolia College with the installation of the “GeoSchool” application, where it was a useful tool for both students and parents, came “Best GeoRoute” software routing software. This software provides the ability to find the optimum route with parameters such as cost savings and shorter delivery times (delivery time). The immediate consequence of the above variables is the improvement of the services provided to students, where it is a core concern of Link Technologies and Anatolia College.
The ‘’Smart Energy Grid’’ program aims to provide the necessary technical knowledge based on the forthcoming upgrading of energy infrastructure in the context of the implementation of smart energy grids and the liberalized energy market. It analyzes the technical background of the technologies and architectural design of smart grids, describes the active standards by thematic interest category, refers to solving the specific heterogeneity issues arising in relation to the existing infrastructures, as well as presenting the applications of the smart grids, the using modern global trends and innovations, integrating optimally dispersed generation and RES loads.
ShoppingMate’s main objective is to develop an innovative digital shopping system that transforms mobile phones into highly interactive personal shopping assistants for consumer’s everyday lives in a way that combines the advantages of e-shopping and traditional shopping. To achieve its main objective the project will explore how to best utilise cutting-edge technologies and harness the potential of location-based services, so as to provide a platform that can address the spontaneous mobile user shopping requests by identifying stores in a specific shopping area that match the mobile user’s specifications for a purchase.
The tourism experience is a multidimensional process to find proper answers to a series of questions: Where should I go? Which sights are worth visiting? Where should I stay? Where to eat? How am I going to have fun? How can I get there? Responses should aim to increase visitor satisfaction by taking into account his or her preferences, keeping them private, mining useful and suitable information from an enormous amount of subjective experiences recorded in social media or collected from interconnected devices at the rising of the Internet of Things era.
The development of the Internet of Things (IoT) has encouraged entrepreneurship in a variety of application areas, such as smart cities. Examples of IoT applications for intelligent cities are applications for installing parking sensors, electric lighting, smart water management, pollutant / temperature measurement, waste management, etc. already implemented in European cities, delivering remarkable cost savings and boosting local economy.
The project ATLAS utilizes images whose exact location was automatically captured by the camera or a location-aware device or alternatively specified by the user through the functionalities and tools offered by Flickr, Panoramio, Youtube. Exploitation of visitor preferences and geographical information will leverage cross‐media/multimedia information retrieval and recommendation for e‐tourism. This is the first advanced functionality ATLAS offers. The ATLAS project seeks ways to improve online tourism services on the basis of the following observations: The provision and retrieval of tourism information is not limited to text and photographs.
In the context of the New Innovative Entrepreneurship Program of the Ministry of Economy and Finance, Technologist of LINK Technologies Telelog, with the University of Athens, implemented the advanced Measurement System for Pollutants and Meteorological phenomena in Urban Environment.
Under the sponsorship and co-financing of EYDE-ETAK (Ministry of Education, Lifelong Learning and Religious Affairs), LINK created the Telelog Spin-off with the University of Athens in order to develop a Building Εnergy Management Wireless System.
The project Architecture of Intelligent Eco Power Sensor Networks for Environmental Management which was implemented by the collaboration of three research institutions (Research and Innovation Center in Information Communication and Knowledge Technologies “Athena”, Democritus University of Thrace and the National Technical University) and two companies (LINK technologies SA and 3PI Information Systems SA) has investigated the interaction of urban development with natural resources, wildlife and habitats with the technology of wireless sensor networks (WSN).
A new estimation model has been devised and implemented to uncover, predict and distribute real time general traffic information in urban areas. Based on bus AVL data, provided by the existing telematics system of Urban Public Transport Organisation of Thessaloniki (OASTH), Greece, the model dynamically produces graphic animated general traffic information over proper GIS background (e.g. Google maps), thus eliminating the need to use costly traditional methods of collecting general traffic data, such as inductive pavement loops, vehicle sensors etc.