Rapid transients were applied to the outstretched human index finger tip, which resulted in motion primarily at the metacarpophalangeal (MCP) joint in extension and in abduction. A second-order linear model was fit to approximately 20 milliseconds of the force and displacement data to determine the effective mechanical impedance at the finger tip. Ranges of mass, damping, and stiffness parameters were estimated over a range of mean finger tip force (2-20 N for extension, 2-8 N for abduction). Effective translational finger tip mass for each subject was relatively constant for force levels greater than 6 N for extension, and constant throughout the abduction trials. Stiffness increased linearly with muscle activation. The estimated damping ratio for extension trials was about 1.7 times the ratio for abduction.

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The DiKEViMA project [1] seeks to develop a virtual khachkar museum with the aid of engaged volunteers. UNESCO [2] describes cross stones as follows: "Khachkars reach [human dimensions of] 1.5 meters in height, and have an ornamentally carved cross in the middle, resting on the symbol of a sun or wheel of eternity, accompanied by vegetative-geometric motifs, carvings of saints and animals. Khachkars are created usually using local stone and carved using chisel, die, sharp pens and hammers." Important resources can be found in the books Armenia sacra [3], l'art des khachkars [4] and the contributions of Patrick Donabédian [5], who helped us work out a historical classification of khachkar styles, periods and locations. Table 1 summarizes the periods and styles in the development of khachkar craftsmanship.

This book presents 15 selected and carefully revised papers, which were originally made available at the start of the workshop in the Open Access Proceedings, also entitled Data Science, Human-Centered Computing, and Intelligent Technologies.Society, technology, and science are undergoing a rapid and revolutionary transformation towards incorporating Artificial Intelligence in every system humans use in everyday life for creating Smart Environments (SmE) through Ambient Intelligence (AmI) in highly interconnected and collaborative scenarios. The main source and asset for making smart systems is rich data, which is produced today in extraordinarily large quantities thanks to recent advances in sensors and sensor networks and is carefully processed for pervasive and embedded computing. Rich data enhances the capabilities of everyday objects and eases collaboration among people.Mobile systems could enhance the possibilities available for designers and practitioners. Effective analysis, quality assessment, and utilization of big data are key factors for success in many business and service domains, including smart systems.Major industrial domains are on the way to performing this tectonic shift based on Big Data, Artificial Intelligence, Collaborative Technologies, Smart Environments supporting Virtual and Mixed Reality Applications, Multimodal Interaction, and Reliable Visual and Cognitive Analytics.However, before we can effectively and efficiently turn the huge amount of generated data into information and knowledge, a number of requirements must be fulfilled and international standards for the quality of and access to the data developed and applied. The first requirement is to ensure that data quality-which includes the accuracy and integrity of the obtained data, timely delivery, suitable quantity, integrity, privacy and security requirements, and Digital Rights Management-complement realization and deployment of modern design, implementation, and evaluation tools. The second is to develop models, which can turn the data into valuable information and then into knowledge. Two important characteristics are desirable for regression and classification models: accuracy and interpretability. While accuracy deals with the ability of the model to predict a certain outcome, interpretability deals with the ability of the model to explain the reasons for producing a certain outcome. The aim of this workshop is to bring together researchers and practitioners working on both theoretical and practical aspects of data generation, data processing, and knowledge creation. These aspects include social issues that arise when using AI-powered systems in collaborative scenarios and smart cities applications. The following two sections each contain seven contributions, which we introduce below. v vi Data Science and Intelligent Technologies 1 In "Information-Theoretic Investigation of Authenticated Steganographic Model in the Presence of Active Adversary" Mariam Haroutunian, Parandzem Hakobyan, Ashot Harutyunyan, and Arman Avetisyan ...

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