Τα Ημερολόγια στα χρόνια 1800-1863 (Με προσθήκες στην Ελληνική Βιβλιογραφία)

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Selective Memory and the Legacy of Archaeological Figures in Contemporary Athens: The Case of Heinrich Schliemann and Panagiotis Stamatakis

The legacy of antiquity has loomed large over the Greek capital since thefoundation of the modern Greek state. Archaeologists have served as the main catalysts in the country’s endeavour to connect antiquity and modernity. Thus, the legacy of deceased archaeologists is tangible in many parts of Athens and a reminder of the significance of archaeology as a discipline in modern Greece. This article examines how the memory ofHeinrich Schliemann and Panagiotis Stamatakis has been appropriated (or misappropriated) in the Greek capital. They worked together to bring to light treasures from Mycenae (1876) but shared a contemptuous relationship for the remainder of their lives. We aim to understandhow society and the state treated not only the mortal remains of these two individuals but also their legacies. Hence, the abundance or absence of material evidence in Athens related to the maintenance of their memory will reveal how the archaeologists themselves worked to preserve or erase their posthumous legacy and how this has been appropriated

'Talkin' about a revolution, it sounds like a whisper': theories and debates on social revolutions

The article examines and discusses the literature on social revolutions since the 1960

Smart Response System using Speech Emotion

Speech recognition is becoming pervasive in many areas like smart-assistants, navigation systems and home automation to name a few. To build a truly smart speech recognition system, not only the content but also the emotion embedded in the content should be extracted. Generating responses according to human’s speech emotion is challenging as speech involves dealing with many ambiguous features. In this paper we propose to develop a system, which uses signal features like pitch, energy and Mel frequency cepstral coefficients, then uses Gaussian mixture models to detect human emotion which will further be used to generate output using extreme learning machine