Flow-pressure analysis of loop gas networks

This paper proposes a mathematical model underlying a computer program for flow-pressure analysis of loop gas pipe networks. The method is used on a test case with four nodes. The HAPN application for flow-pressure analyses of low pressure gas pipe networks is completely designed in object-oriented programming technology. The equations, which describe the physical flow-pressure conditions through every cross point are assumed to be continuous and the energy of every closed loop of analyzed network conserved. The system of non-linear equations was linearized by LTM (Linear Theory Method). The algorithm for numerical module LTM and the method for solution of sparse matrix are developed at the Faculty of Chemistry and Chemical Engineering, University of Maribor, Slovenia

Safe reuse of treated urban wastewater in Praia, Cape Verde: a case study

Dissertação para a obtenção do Grau de Mestre em Engenharia e Gestão da ÁguaCape Verde is one of the countries where the socio-economic development and growth are diminishing due to problems of water scarcity. The effects are more noticeable in the city of Praia, with a population of about 131.719 inhabitants2. This is due to the rapid urban development and the consequent special needs such as irrigation, industry and tourism. The region has suffered for several consecutive years the phenomenon of drought, which makes this occurrence an easily predictable one and turns the lack of water into a factor that constrains the development and well-being of the city. Consequently, it is imperative to recognize the value of water and to create a good strategy to ration its use, along with finding ways to mobilize new resources. The presented study was developed using a methodology based on the use of the treatment, purification and reuse of wastewater technology, as well as secure ways reusing it for compatible proposes. The work also includes a technical and economic analysis related to the development of the implementation project, in which were studied several alternatives that allow the reuse of treated water from the city of Praia to the current flow, as well as for future expansions. The presented results indicate that there must be followed an objective orientation in order to define the quality parameters and the complementary actions necessary to ensure a safe re-use of water from the direct point of view of human health to the green areas, such as agricultural areas or spaces for public use. Thus, it’s important to consider the preparation and development of awareness campaigns for the population of Cape Verde, involving local authorities and the social formation as a driving force to promote the efficient use of water, knowledge of the quality parameters and prevent waterborne diseases. To improve the monitoring of water quality in general is essential to plan and organize a study of international comparison of water quality laboratories in different regions, and promote the development of specialized seminars to improve technical capacity. To promote the treatment and reuse of treated water are virtual training platforms to develop and promote the exchange of experience in these fields. These initiatives will be strengthened through research and technical assistance to assess the potential and develop specific projects of self-wastewater treatment and reuse

Artificial Intelligence Enabled Solutions in Marketing: Case Ekokompassi

Artificial Intelligence is a relevant field in computer science which is emerging into businesses. Due to the complexity of the concept itself, it is important to understand what AI is and how it can be integrated into the marketing operations in a business. The objective of this thesis was to utilize the information and insights gathered from experts in the field of computer science, business and marketing to gain a holistic view of the current and future capabilities of artificial intelligence in marketing so that recommendations could be provided to the commissioning company Ekokompassi Oy. The research questions are how to use artificial intelligence in marketing, secondly what are the future predictions in the field of marketing and AI and finally what are the potential AI enabled solutions in marketing for Ekokompassi. Qualitative tools, more precisely in-depth-interviews, were used to gather the main data in this research. The main data was analysed using content analysis methods from which four main categories were extracted for further examination. The main conclusions of this study answered the initial research questions reinforcing the knowledge gained from the theory. The conclusions indicated that companies which leverage technology in their business strategies can gain an advantage over their competitors who remain to work in traditional ways. AI can predict, analyse and personalize one to one marketing messages to consumers at scale and with precision that humans are incapable of. Companies should not fear technology but embrace it throughout the core functions of the business bearing in mind the issues around ethics and data privacy. The best time to begin gathering business data is today

Management: A continuing bibliography with indexes

This biliography lists 919 reports, articles, and other documents introduced into the NASA scientific and technical information system in 1981