Expert system for campus environment indexing in wireless sensor network

Wireless sensor network can deliver environment data in campus area as CO, NO2, HC, particulate matter, temperature, humidity, and luminous intensity to provide accurate realtime data. This realtime environment data is used for environment indexing accurately, and then can be developed in an expert system. This expert system collects input data from the sensor. This expert system will help giving the accurate input for campus authority to state and evaluate campus developing policy continuously. This expert system uses forward chaining method, PHP programming language and MySQL database

Temporal stability of network partitions

We present a method to find the best temporal partition at any time-scale and rank the relevance of partitions found at different time-scales. This method is based on random walkers coevolving with the network and as such constitutes a generalization of partition stability to the case of temporal networks. We show that, when applied to a toy model and real datasets, temporal stability uncovers structures that are persistent over meaningful time-scales as well as important isolated events, making it an effective tool to study both abrupt changes and gradual evolution of a network mesoscopic structures.Comment: 15 pages, 12 figure

Closing the Gender Gap in African Agriculture in the Face of Climate Change

Gender is not about ‘women and girls’ but about roles, responsibilities, access and control over resources and relations between men and women, boys and girls which are socially ascribed. Women’s meaningful participation in decision-making requires going beyond the presence of more women in institutions and processes. Comprehensive gender analyses at national and local levels are necessary to identify the challenges and opportunities for developing gender-responsive agricultural policies. A Gender Action Plan (GAP) for agriculture with a well-structured and robust M&E system is essential. Strengthening Gender Management Systems in the agriculture sector with regular gender audits can promote greater equity between women and men

Land Degradation and Climate Change in Africa

Land degradation is rampant in Africa, accounting for 46% of the total land area. Land degradation at the current pace is projected to render more than half of the cultivated land in Africa unusable by 2050. Land degradation and climate change mutually reinforce each other, creating serious implications for food security, biodiversity and livelihoods in Africa. Effective early warning systems are an essential and important alert mechanism for addressing land degradation. An integrated landscape approach is a promising way to address the broad and multi-faceted nature of land degradation across Africa’s different agro-ecological zones

Desertification and Climate Change in Africa

Desertification has increased in African drylands in recent decades, led by land use change, climatic variability and poor land management practices. People living in drylands in Africa are highly vulnerable to desertification and climate change, because of their impacts on a wide range of livelihood based resources. Desertification and climate change affect gender disproportionately, with women and youth being the most affected. Without implementation of adequate measures, climate change will exacerbate the vulnerability to desertification among dryland populations in Africa. Policy responses and integrated land management practices, as well as indigenous and local knowledge are needed to consider the complex and multi-faceted nature of causes and effects of desertification

Enhancing Food Security in a Changing Climate in Africa

Climate and socio-ecological change scenarios are invaluable tools in developing appropriate response options for ensuring food security and human wellbeing in the future: evidence-based approach. Climate change necessitates research on crops, livestock and systems that are resilient to variability and extreme events. Prioritize and mainstream food security and nutrition issues into regional and national climate change adaptation and mitigation programmes and initiatives. Opportunities exist for the development of climate-proof and resilient food systems across Africa through technology diffusion, agronomic practices and innovations that can be optimized and scaled up

Expert web

By placing a component of the marine environment under controlled conditions, mesocosms provide important links between field studies and laboratory experiments. Project Leader Dr Paolo Simonelli and scientific site coordinators Drs Elin Lindehoff, Jamileh Javidpour, Romain Pete, Stella Berger and Tatiana Tsagaraki explain how they are opening up access to these unique resources for European scientist

Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned

Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically extracts knowledge, needs expert guidance on the successive decisions to be made in each of the system phases. In this context, expert knowledge and data mining discovered knowledge can cooperate, maximizing their individual capabilities: data mining discovered knowledge can be used as a complementary source of knowledge for the expert system, whereas expert knowledge can be used to guide the data mining process. This article summarizes different examples of systems where there is cooperation between expert knowledge and data mining discovered knowledge and reports our experience of such cooperation gathered from a medical diagnosis project called Intelligent Interpretation of Isokinetics Data, which we developed. From that experience, a series of lessons were learned throughout project development. Some of these lessons are generally applicable and others pertain exclusively to certain project types

EXPERT SYSTEMS

In recent decades IT and computer systems have evolved rapidly in economic informatics field. The goal is to create user friendly information systems that respond promptly and accurately to requests. Informatics systems evolved into decision assisted systems, and such systems are converted, based on gained experience, in expert systems for creative problem solving that an organization is facing. Expert systems are aimed at rebuilding human reasoning on the expertise obtained from experts, stores knowledge, establishes links between knowledge, have the knowledge and ability to perform human intellectual activities. From the informatics development point of view, expert systems are based on the principle of the knowledge separation from the treating program. Expert systems simulate the human experts reasoning on knowledge available to them, multiply the knowledge and explain their own lines of reasoning.expert systems, artificial intelligence, knowledge, expertise