Harish Neelam and Koushik Sai Veerella, Michigan State University, East Lansing, Michigan, USA
This paper aims to address the challenge of personalized recipe recommendation in the realm of diverse culinary preferences. The problem domain involves recipe recommendations, utilizing techniques such as association analysis and classification. Association analysis explores the relationships and connections between different ingredients to enhance the user experience. Meanwhile, the classification aspect involves categorizing recipes based on user-defined ingredients and preferences. A unique aspect of the paper is the consideration of recipes and ingredients belonging to multiple classes, recognizing the complexity of culinary combinations. This necessitates a sophisticated approach to classification and recommendation, ensuring the system accommodates the nature of recipe categorization. The paper seeks not only to recommend recipes but also to explore the process involved in achieving accurate and personalized recommendations.
Data Mining, Ingredients, Association rules, Classification, Recommendations, Recipes, Apriori, FP Growth, Networks, Similarity Scores, Filtering.
Damodar Selvam, Independent Researcher, USA
The convergence of information technology (IT) security, trust, and privacy has emerged as a fundamental paradigm in the digital era, especially concerning the management of digital identities. This paper explores the complex interplay among these spheres, explaining how their fusion can bolster the safeguarding of digital identities. By analysing current patterns, technological progress, and prevailing obstacles, the article seeks to offer a thorough comprehension of the convergence and its consequences. The results underscore efficient tactics and frameworks that enrich the security, reliability, and confidentiality of digital identities, ultimately fostering more resilient digital environments.
Digital Identity, Blockchain Security, Biometric Authentication, Homomorphic Encryption.
Pulkit Sharma1, Debanik Mukherjee1, M. Vijay2, 1centre for Environmental Management of Degraded Ecosystems, University of Delhi, Delhi – 110 007, India, 2regional Museum of Natural History, Mysore – 570 011, Karnataka, India
Beddome’s Cat Snake, Boiga beddomei (Wall, 1909)is largelydistributed and restricted to southern Western Ghats and also reported from Anaikatty Hills. This species may be taxonomically distinguished from its sympatric congeners by dorsal pholidosis count: 19: 19: 13; 7-8 supralabials; 3rd, 4th and 5thsupralabials in contact with orbit; ventral 241-246 and 95-107 paired subcaudals.
Taxonomy, Redescription, Colubrids, Deciduous Forest, Western Ghats, India.
Karim Choubani1,2 and Abdulaziz Alasiri1, 1College of Engineering, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia, 2Research Unit: Mechanical Modeling, Energy & Materials (M²EM), UR17ES47 National Engineering School of Gabes (ENIG), Avenue Omar Ib-Elkhattab, 6023, Zrig, Gabes, Tunisia
In Tunisian Sahara, solar energy is a source of energy with very high potential but not well exploited. The use of solar energy in combination with air conditioning (AC) systems supplied with electricity or heat can represent a good solution to reduce the electric power consumption. Solar-air conditioning could be a relevant solution to produce renewable solar cold. The main objective of this study is to predict the feasibility of an evaporative cooling system powered by solar energy and to carry out an economic and energy study of this system. In this adiabatic process, airflow circulates at low speed using a fan through a hygroscopic panel. This panel is irrigated at a specific temperature and a relatively low humidity. In this process, the inlet air is hot and dry, it therefore evaporates water by transforming part of its sensitive heat into latent heat, without any variation in enthalpy or total heat. At the outlet, the air temperature decreases and its humidity increases. The analysis prediction of an evaporative cooler, carried out on a digital psychrometric chart, demonstrated that an increase in the dry-bulb temperature of about 24% leads to an increase of the wet-bulb temperature of about 26.5% and 17.5% increase in the wet-bulb depression. The rise by 40% in the relative humidity increases the wet-bulb depression by a factor of 33%.
Evaporative cooling – Solar energy – Performance prediction – Experimental simulation.
