Search Results (7)

Knowledge graph technology holds significant importance for efficient fault diagnosis in household appliances. However, the scarcity of public fault diagnosis data and the lack of automated knowledge extraction pose major challenges to knowledge graph construction. To address issues such as ambiguous entity boundaries, severe entity nesting, and poor entity extraction performance in fault diagnosis texts, this paper proposes a dual-strategy progressive knowledge extraction framework. First, to tackle the high complexity of fault diagnosis texts, an entity recognition model named RoBERTa-zh-BiLSTM-MUL-CRF is designed, improving the accuracy of nested entity extraction. Second, leveraging the semantic understanding capability of large language models, a progressive prompting strategy is adopted for ontology alignment and relation extraction, achieving automated knowledge extraction. Experimental results show that the proposed named entity recognition model outperforms traditional models, with improvements of 3.87%, 5.82%, and 2.05% in F1-score, recall, and precision, respectively. Additionally, the large language model demonstrates better performance in ontology alignment compared to traditional machine learning models. The constructed knowledge graph for household appliance fault diagnosis integrates structured fault diagnosis information. It effectively processes unstructured fault texts and supports visual queries and entity tracing. This framework can assist maintenance personnel in making rapid judgments, thereby improving fault diagnosis efficiency. Full article

The representation and utilization of environmental information by service robots has become increasingly challenging. In order to solve the problems that the service robot platform has, such as high timeliness requirements for indoor environment recognition tasks and the small scale of indoor scene data, a method and model for rapid classification of household environment domain knowledge is proposed, which can achieve high recognition accuracy by using a small-scale indoor scene and tool dataset. This paper uses a knowledge graph to associate data for home service robots. The application requirements of knowledge graphs for home service robots are analyzed to establish a rule base for the system. A domain ontology of the home environment is constructed for use in the knowledge graph system, and the interior functional areas and functional tools are classified. This designed knowledge graph contributes to the state of the art by improving the accuracy and efficiency of service decision making. The lightweight network MobileNetV3 is used to pre-train the model, and a lightweight convolution method with good feature extraction performance is selected. This proposal adopts a combination of MobileNetV3 and transfer learning, integrating large-scale pre-training with fine-tuning for the home environment to address the challenge of limited data for home robots. The results show that the proposed model achieves higher recognition accuracy and recognition speed than other common methods, meeting the work requirements of service robots. With the Scene15 dataset, the proposed scheme has the highest recognition accuracy of 0.8815 and the fastest recognition speed of 63.11 microseconds per sheet. Full article

This paper examines changes in formal and informal land access rules for women in the Kafue Flats of southern Zambia and identifies alternatives to land privatization. In rural African communities dependent on subsistence production, access to common pool resources (CPRs) such as fisheries, wildlife or wild fruits made an important contribution to household food and nutritional security. In the pre-colonial period, the use of agricultural land and associated CPRs was governed by local institutions of common property, characterized by more-than-human relationships embedded in the local animistic ontology. To examine how women’s pre-colonial access rights were increasingly disregarded in the wake of new statutory laws, we analyzed qualitative ethnographic data on livelihoods and food security from three time periods between 2002 and 2018. The findings show how customary law land tenure has remained important, despite being complemented by statutory law designed to also protect women’s property rights. We conclude that women’s customary access rights to land and CPRs must be taken into account in the drafting of formal legislation, as suggested by successful examples of bottom-up institution building in other regions. Full article

Recent policy and scholarly attention to traditional food has highlighted its importance for developing culturally-appropriate sustainable diet interventions. Yet most approaches to traditional food maintain an unhelpful dichotomy between traditional and modern foodways. Ethnographic research into the ways people experience and articulate the substitution of previously homegrown foods with modern industrial foods can uncover aspects of local food heritage that have been previously hidden or undermined. The central aim of this paper is to demonstrate the usefulness of ethnographic approaches for recent policy debates around the importance of tradition for sustainable diets. An ethnographic ontology, which takes cultural meanings and values of ultra-processed foods as well as so-called traditional foods seriously, can provide a more nuanced picture of food system transitions that can inform sustainable dietary interventions. A combination of ethnographic methods was used for this paper, including participant observation, photo elicitation, questionnaires and go-along/shop-along interviews with N = 200 research participants. Subsequent ‘armchair’ research revealed important insights about Afrodescendant and Indigenous food heritage in Trinidad and Tobago, indicating the need for future research in this area. In particular, the findings suggest that cultural values of ‘colour’ and ‘(local) flavour’ connect old and new foodways in Trinidad and Tobago. Values of colour and flavour, along with shared feelings elicited through the ethnographic research such as concerns about agrochemical use and nostalgia for household food production, can inform the development of culturally-appropriate sustainable diet interventions. Full article

The smart concept has changed both household electrical systems (smart home) and the whole electric power system (smart grid). It has facilitated much more efficient electrical energy management. Therefore, there is a need to develop a detailed model and knowledge base at the micro-system level, which can respond to changes in the electric power system. Extensive knowledge (know-how), large financial outlays, and access to modern technologies are necessary in order to design and build a functional smart grid. The first installations were made in highly developed countries. Currently, a significant proportion of newly built power installations in Europe have the features of a smart grid type. Developing countries, such as Poland, should benefit from the experience of other countries in the process of building modern installations. The article addresses the energy performance of a household and the ontology of a household micro-system, while taking into account the possibility of it being controlled via energy management systems (EMS). Full article

This essay brings together critical archetypes of Bengali Hindu home-experience: the sound of the evening shankh (conch), the goddess Lakshmi, and the female snake-deity, Manasa. It analyzes the everyday phenomenology of the home, not simply through the European category of the ‘domestic’, but conceptually more elastic vernacular religious discourse of shongshar, which means both home and world. The conch is studied as a direct material embodiment of the sacred domestic. Its materiality and sound-ontology evoke a religious experience fused with this-worldly wellbeing (mongol) and afterlife stillness. Further, (contrary) worship ontologies of Lakshmi, the life-goddess of mongol, and Manasa, the death-and-resuscitation goddess, are discussed, and the twists of these ambivalent imaginings are shown to be engraved in the conch’s body and audition. Bringing goddesses and conch-aesthetics together, shongshar is thus presented as a religious everyday dwelling, where the ‘home’ and ‘world’ are connected through spiraling experiences of life, death, and resuscitation. Problematizing the monolithic idea of the secular home as a protecting domain from the outside world, I argue that everyday religious experience of the Bengali domestic, as especially encountered and narrated by female householders, essentially includes both Lakshmi/life/fertility and Manasa/death/renunciation. Exploring the analogy of the spirals of shankh and shongshar, spatial and temporal experiences of the sacred domestic are also complicated. Based on ritual texts, fieldwork among Lakshmi and Manasa worshippers, conch-collectors, craftsmen and specialists, and immersion in the everyday religious world, I foreground a new aesthetic phenomenology at the interface of the metaphysics of sound, moralities of goddess-devotions, and the Bengali home’s experience of afterlife everyday. Full article

The reuse of brownfields is becoming a necessary option to meet the current requirements of urban densification and for the preservation of agricultural land, as well as for improvement in the quality of life. The purpose of this article is to evaluate the main objectives and benefits of a rehabilitation project implemented in Canada. The rehabilitation of the brownfield site Lachine-Turcot-Petite Bourgogne in Montréal was analyzed according to four indicators (revenue, average cost of rent, rental usage, and home resale price). The findings of the study demonstrate that the expectations (socio-economic benefits derived from Southwest borough—City of Montréal) of the local community were not respected and that the initial objectives of the project changed during its implementation. In particular, the average rent increased considerably after four years, by 165.47% in the period 2001–2006. The percentage of resident homeowners increased from 89% to about 95% in 10 years, and in the 1996–2014 period the total income per household increased from about $25,000 to about $78,000. We propose an evaluation tool that integrates an ontology of the elements necessary for decision-making and local indicators related to the environmental and socio-economic components with the goal of meeting the expectations of the local community. Full article