‘Unusual ingredients’: Developing a cross-domain model for multisensory artistic practice linking food and music

This article explores linkages between sensory experiences of food and music in light of recent research from gastrophysics, 4E cognition (i.e. embodied, embedded, extended and enactive) and ecological perception theory. Drawing on these research disciplines, this article outlines a model for multisensory artistic practice, and a taxonomy of cross-domain creative strategies, based on the identification of sensory affordances between the domains of food and music. Food objects are shown to ‘afford’ cross-domain interrelationships with sound stimuli based on our capacity to sense their material characteristics, and to make sense of them through prior experience and contextual association. We propose that multisensory artistic works can themselves afford extended forms of sensory awareness by synthesizing and mediating stimuli across the selected domains, in order to form novel, or unexpected sensory linkages. These ideas are explored with reference to an ongoing artistic research project entitled ‘Unusual ingredients’, creating new music to complement and enhance the characteristics of selected food.

REFLECTO – A SMART MIRROR STRUCTURE WITH A CONTEXTUAL ASSOCIATION OF INTERNET OF THINGS

Two of the most valued qualities in the modern-day society are punctuality and presentation. The mission helps to develop the above-mentioned personalities. We have developed an artificial intelligence-based smart mirror that helps in reminding the user about their day to day schedule while they spend their time in front of the mirror. This way the user is ensured of comfort in accessing the basic services with a minimum hinderance. The basic function that our prototype is assumed to carry out is to display user their personalised information like date, time, weather forecast, upcoming holidays or saved events and news bulletin. Face recognition feature is also added in order to identify the user using the camera placed behind the mirror. Because of the face recognition feature the mirror will be able to display personalised data that the identified user wants to know. Reflecto can be easily built by using a two-way mirror, concealed LED screen, microphone and camera to make it interactive. The mirror’s functionalities have been extended by integrating it with Google assistant to access IoT devices that have been enabled with home automation.

Contextual Identification of Windows Malware through Semantic Interpretation of API Call Sequence

The proper interpretation of the malware API call sequence plays a crucial role in identifying its malicious intent. Moreover, there is a necessity to characterize smart malware mimicry activities that resemble goodware programs. Those types of malware imply further challenges in recognizing their malicious activities. In this paper, we propose a standard and straightforward contextual behavioral models that characterize Windows malware and goodware. We relied on the word embedding to realize the contextual association that may occur between API functions in malware sequences. Our empirical results proved that there is a considerable distinction between malware and goodware call sequences. Based on that distinction, we propose a new method to detect malware that relies on the Markov chain. We also propose a heuristic method that identifies malware’s mimicry activities by tracking the likelihood behavior of a given API call sequence. Experimental results showed that our proposed model outperforms other peer models that rely on API call sequences. Our model returns an average malware detection accuracy of 0.990, with a false positive rate of 0.010. Regarding malware mimicry, our model shows an average noteworthy accuracy of 0.993 in detecting false positives.

Cortical Integration of Contextual Information across Objects

Recognizing objects in the environment and understanding our surroundings often depends on context: the presence of other objects and knowledge about their relations with each other. Such contextual information activates a set of medial lobe brain regions, the parahippocampal cortex and the retrosplenial complex. Both regions are more activated by single objects with a unique contextual association than by objects not associated with any specific context. Similarly they are more activated by spatially coherent arrangements of objects when those are consistent with their known spatial relations. The current study tested how context in multiple-object displays is represented in these regions in the absence of relevant spatial information. Using an fMRI slow-event-related design, we show that the precuneus (a subpart of the retrosplenial complex) is more activated by simultaneously presented contextually related objects than by unrelated objects. This suggests that the representation of context in this region is cumulative, representing integrated information across objects in the display. We discuss these findings in relation to processing of visual information and relate them to previous findings of contextual effects in perception.