Intelligent Room-Based Identification of Electricity Consumption with an Ensemble Learning Method in Smart Energy

This paper frames itself in the realm of smart energy technologies that can be utilized to satisfy the electricity demand of consumers. In this environment, demand response programs and the intelligent management of energy consumption that are offered by utility providers will play a significant role in implementing smart energy. One of the approaches to implementing smart energy is to analyze consumption data and provide targeted contracts to consumers based on their individual consumption characteristics. To that end, the identification of individual consumption features is important for suppliers and utilities. Given the complexity of smart home load profiles, an appliance-based identification is nearly impossible. In this paper, we propose a different approach by grouping appliances based on their rooms; thus, we provide a room-based identification of energy consumption. To this end, this paper presents and tests an intelligent consumption identification methodology, that can be implemented in the form of an ensemble of artificial intelligence tools. The ensemble, which comprises four convolutional neural networks (CNNs) and four k-nearest neighbor (KNN) algorithms, is fed with smart submeter data and outputs the identified type of room in a given dwelling. Results obtained from real-world data exhibit the superiority of the ensemble, with respect to accuracy, as compared with individual CNN and KNN models.

Rationalizing hospital nutrition

The decisive successes in the construction of the USSR, the cultural growth of the masses and the involvement of members of the working family in production, in connection with the complete elimination of unemployment, set before the consumer cooperation the task of gradually switching food supply from individual consumption to public catering, as the first condition for the transition from small, single household to a large, socialized one. "

Ozonization of Water, Retention of Ozone and Devitalization of Escherichia Coli in Water By Ozone

The aim of this study was to observe the efficiency of ozone transferred by an airstone bubble diffuser, using two ozone generators with different output of ozone (5 g.h–1 ‒ G1; 15 g.h–1 ‒ G2). The retention of ozone in ozonised distilled and potable water and the devitalisation effects on E. coli in the water were also noted. Ozone was introduced to two types of potable water of different composition intended for mass consumption, (MC)a and (MC)b, distilled water, and well water intended for individual consumption. The devitalisation effect of ozone on E. coli in well water (WW) and added to potable and distilled water was observed. The results of our study showed that under the conditions used, the level of ozone during ozonisation with G1 increased more rapidly in distilled water and after termination of ozonisation, the retention of ozone in distilled water was a little lower in comparison with the potable water. The devitalisation of E. coli either naturally present in the water or added to it required the level of ozone close to or equal to 0.25 mg.l–1.

Archetypal Aspects of Visual Intertextuality in Digital Advertising

The semiotic decodification of advertising signs through a col- lective unconscious in the digital era is a reflection of previous individual consumption of popular culture. As a result, advertising is an impure image that contains preexisting replicated visual symbols. This visual intertextu- ality will be at the core of our archetypal approach in advertising. Based on Discourse Analysis research methodology, we have opted for a corpus of digital ads that not only showcase recent creativity in the field, but also witness the development of what we shall encapsulate under the syntagma of ‘the second generation of archetypes’. Our main aim is to demonstrate that the collective unconscious as described by Jung has changed since the apparition of infinitely replicated objects of representation through media. The Discourse Analysis will provide an interpretation residing in three in- tertextual thematic archetypes touching literature, politics and art.

On the possibilities of digitalization of the design of specialized food products

The main problem of the Russian market of specialized food products (SFP) is the lack of reliably confirmed data on their efficacy. Most likely, due to the duration and high cost of clinical trials, this situation will continue in the foreseeable future. However, it seems that the current state of science makes it possible to propose new approaches to confirming the SFP effectiveness, including at the level of individual consumption.