{'fraction_non_alphanumeric': 0.016483516483516484, 'fraction_numerical': 0.0, 'mean_word_length': 5.0777777777777775, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Development of a System to Generate Artificial Ambiance based on Entropy

Ambience is an abstract concept of sensory information. If we can control sensory information, then we will be able to somehow provide ambience as needed. We developed a controllable ambience model using the entropy of distribution functions based on this hypothesis. We adapted the model to several sensory modes, such as facial expressions, tones, and unobjective figures written in HTML and JavaScript available on any browser. We introduce these systems in this paper.