Technologies arising out of successful high-tech mergers and acquisitions (M&A) have a significant innovation potential. However, forecasting of the possible output is coupled with uncertainties caused by misleading or insufficient future-oriented analytics. The proposed framework facilitates publicly available information and data to forecast potential innovation activities of the companies involved in hightech M&As. A five-step scheme of analysis is aimed to assess previous M&A record, intellectual property (IP) portfolios of the focal companies as well as the relevant technological context, and construct pathways of potential innovation activities using elements of a scenario technique and roadmapping. The framework has been tested on the deals including both large concerns and small and medium-sized enterprises (SME). We summarize the paper by reflecting on the merits and limitations of the framework on the way to our objective -to provide grounded forecasting triggered by M&As to support the decision-making.

ABSTRACT:The widespread usage of the mobile technologies and the improvement of the digital photo devices getting has led to more frequent cases of falsification of images including in the judicial practice. Consequently, the actual task for up-to-date digital image processing tools is the development of algorithms for determining the source and model of the DSLR (Digital Single Lens Reflex) camera and improve image formation algorithms. Most research in this area based on the mention that the extraction of unique sensor trace of DSLR camera could be possible on the certain stage of the imaging process into the camera. It is considered that the study focuses on the problem of determination of unique feature of DSLR cameras based on optical subsystem artifacts and sensor noises.

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