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

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

Towards a Theory of Software Development Expertise

Software development includes diverse tasks such as implementing new features, analyzing requirements, and fixing bugs. Being an expert in those tasks requires a certain set of skills, knowledge, and experience. Several studies investigated individual aspects of software development expertise, but what is missing is a comprehensive theory. We present a first conceptual theory of software development expertise that is grounded in data from a mixed-methods survey with 335 software developers and in literature on expertise and expert performance. Our theory currently focuses on programming, but already provides valuable insights for researchers, developers, and employers. The theory describes important properties of software development expertise and which factors foster or hinder its formation, including how developers' performance may decline over time. Moreover, our quantitative results show that developers' expertise self-assessments are context-dependent and that experience is not necessarily related to expertise.Comment: 14 pages, 5 figures, 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), ACM, 201

Merton and the Hot Tub: Scientific Conventions and Expert Evidence in Australian Civil Procedure

Recently in Australia, common-law judges began to modify the way expert evidence is prepared and presented. Judges from a range of civil jurisdictions have conscientiously sought to reduce expert partisanship and the extent of expert disagreement in an attempt to enhance procedural efficiency and improve access to justice. One of these reforms, concurrent evidence, enables expert witnesses to participate in a joint session with considerable testimonial latitude. This represents a shift away from an adversarial approach and a conscientious attempt to foster scientific values and norms. Here, Edmond describes how changes to Australian civil procedure, motivated by judicial concerns about the prevalence of partisanship among expert witnesses, may have been enfeebled because they were based upon enduring scientific conventions such as the ethos of science

Expert evidence and the Law Commission : implementation without legislation?

Argues that, despite a failure to implement the recommendations in the Law Commission's 2011 report entitled "Expert Evidence in Criminal Proceedings", many of its proposals on the exclusion of such evidence might be introduced by the judiciary's appropriate exercise of common law powers. Reviews the Commission's proposals, the common law principles determining when expert evidence is not admitted, and how such discretion could be used to exclude evidence failing the Commission's core test. Discusses the drawbacks of such an approach and whether the Commission proposals were too timid

"Biased Motivation of Experts: Should They be Aggressive or Conservative?"

When we intend to hire a professional expert, which type of expert should we hire? Although it is sometimes claimed that decisions of experts tend to be conservative, is it optimal to choose a conservative expert? This paper attempts to answer these questions. It will show that a principal should hire a conservative expert, i.e., an expert who has biased preference for maintaining the status quo. The crucial aspect is that there is a possibility that the expert may not transmit truthful information. A neutral expert or an expert who has biased preference for implementing the project has a very strong incentive to recommend the project. Even when he/she cannot recognize whether the project is sufficiently productive, he may recommend the project. Hence, a conservative expert is considered to be beneficial for the principal.

Price competition between an expert and a non-expert

price competition;product differentiation;quality

Expert opinion versus expertise in forecasting

Expert opinion is an opinion given by an expert, and it can have significant value in forecasting key policy variables in economics and finance. Expert forecasts can either be expert opinions, or forecasts based on an econometric model. An expert forecast that is based on an econometric model is replicable, and can be defined as a replicable expert forecast (REF), whereas an expert opinion that is not based on an econometric model can be defined as a non-replicable expert forecast (Non-REF). Both replicable and non-replicable expert forecasts may be made available by an expert regarding a policy variable of interest. In this paper we develop a model to generate replicable expert forecasts, and compare REF with Non-REF. A method is presented to compare REF and Non-REF using efficient estimation methods, and a direct test of expertise on expert opinion is given. The latter serves the purpose of investigating whether expert adjustment improves the model-based forecasts. Illustrations for forecasting pharmaceutical SKUs, where the econometric model is of (variations of) the ARIMA type, show the relevance of the new methodology proposed in the paper. In particular, experts possess significant expertise, and expert forecasts are significant in explaining actual sales.forecasts;efficient estimation;generated regressors;direct test;expert opinion;non-replicable expert forecast;replicable expert