A computer vision approach to classification of birds in flight from video sequences

Bird populations are an important bio-indicator; so collecting reliable data is useful for ecologists helping conserve and manage fragile ecosystems. However, existing manual monitoring methods are labour-intensive, time-consuming, and error-prone. The aim of our work is to develop a reliable system, capable of automatically classifying individual bird species in flight from videos. This is challenging, but appropriate for use in the field, since there is often a requirement to identify in flight, rather than when stationary. We present our work in progress, which uses combined appearance and motion features to classify and present experimental results across seven species using Normal Bayes classifier with majority voting and achieving a classification rate of 86%

Gap bootstrap methods for massive data sets with an application to transportation engineering

In this paper we describe two bootstrap methods for massive data sets. Naive applications of common resampling methodology are often impractical for massive data sets due to computational burden and due to complex patterns of inhomogeneity. In contrast, the proposed methods exploit certain structural properties of a large class of massive data sets to break up the original problem into a set of simpler subproblems, solve each subproblem separately where the data exhibit approximate uniformity and where computational complexity can be reduced to a manageable level, and then combine the results through certain analytical considerations. The validity of the proposed methods is proved and their finite sample properties are studied through a moderately large simulation study. The methodology is illustrated with a real data example from Transportation Engineering, which motivated the development of the proposed methods.Comment: Published in at http://dx.doi.org/10.1214/12-AOAS587 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

PLECO: New energy-aware programming languages and eco-systems for the Internet of Things

This paper outlines the aims of the Programming Language ECO-system (PLECO) to create new energy-aware programming languages and eco-systems for the Internet of Things (IoT). It builds upon the Lantern language and focuses on energy-awareness, security, resilience and communications for the large infrastructure underpinning the next generation of IoT. The paper outlines how IoT applications and deployments need to be developed in an energy-aware, secure and cost-effective manner using new secure, robust and energy-focused programming languages and the importance of taking such an approach

Effectiveness of health education in increasing the duration of exclusive breastfeeding in low income countries: a systematic review

Background: The protective effects of exclusive breastfeeding (EBF) to the health of infants and mothers alike have been well documented. The rates of EBF remain low in spite of the recognized benefits and the persistent global call for infants to be breastfed exclusively on breast milk for the first six months of life. Health education has been widely suggested as one of the key intervention strategies for increasing the duration of EBF in low income countries. Objective: To conduct a systematic review to assess the effectiveness of health education interventions in increasing the duration of EBF in low income countries. A secondary objective of the review was to identify the theoretical bases of both effective/non-effective interventions and also to identify the educational methods that were utilized. Methods: Systematic review of experimental and quasi-experimental studies of health education interventions that evaluated exclusive breastfeeding outcome. Studies not published in English language and studies not reporting exclusive breastfeeding outcome were excluded. A narrative synthesis was used. Data Sources: Studies dating from 1980 – 2013 in English language were searched in the following databases: Cochrane Central Register of Controlled Trials, MEDLINE, Academic Search Complete. ScienceDirect and Google Scholar search engine. Results: Twelve (12) studies were identified. Five were randomized controlled trials and additional three were before-after studies with control groups. The remaining four were non-randomized controlled trial. Only one study applied a theoretical framework in developing and implementing the intervention. EBF rate was significantly higher in the intervention groups compared with the control groups in ten (10) of the studies. The remaining two (2) studies reported no difference in EBF rates between the intervention groups and the control groups. Most of the studies reviewed had important methodological limitations. Conclusion: Because of the methodological limitations of most of the included studies, firm conclusion on the effectiveness of health education interventions in increasing the duration of exclusive breastfeeding in low income countries cannot be made. Nonetheless there is a potential for this to be achieved if more methodologically rigorous health education interventions are developed and evaluated in low income countries

Improving the well-being of older people by reducing their energy consumption through energy-aware systems

Abstract-Fuel poverty is becoming a problem amongst the older community in the UK. We propose an assistive technology for reduced energy consumption in aid of active aging. We introduce how the well-being of older people within the community can be improved by reducing anxiety associated with fuel poverty. A recommender and behavioural change system will be introduced, which enables older people to improve their energy footprint through energy-aware systems. Using systems to help reduce fuel poverty will invariably improve their general well-being. Results show how this technology can be accepted and act as an enabler in improving the overall well-being of older people

Estimating An Aggregate Import Demand Function For Ghana

Stable Food Crops Turning Into Commercial Crops: Case studies of Teff, Wheat and Rice in Ethiopia  Imports are very crucial for the survival of a small open economy such as Ghana. In this paper, we estimate an import demand function for Ghana for the period 1970 to 2002, as well as consider the time series properties of the data. The time series behaviour of the data indicates a long term relationship between real exchange rates, GDP, and merchandise import. Our empirical estimates suggest that real income (GDP) is the main factor influencing imports in Ghana. The results also indicate that economic growth (real GDP) and depreciation in the local currency could stimulate increased demand for merchandise imports. Further analysis revealed that shocks to imports, real GDP and real exchange rate are important in explaining various innovations in the error variance of each of these variables at different time horizons and at different magnitudes. Particularly, the evidence shows that at short time periods about 65%, 95% and 80% of shocks to real exchange rates, merchandise imports and GDP respectively, are attributed to own shock

Adoption of financial innovation in the Ghanaian banking industry

This century has been full of innovations: new technologies, new products, new services and a plethora of new industries have emerged. Yet the call for innovation in business, especially in financial services, has never been more intense. Although research on this topic exists, there is no empirical evidence regarding the critical factors influencing customer adoption of electronic banking innovation in Ghana’s banking industry. The aim of this article is therefore to investigate the factors influencing the adoption of financial innovation in Ghana’s banking industry. Surveys were conducted involving 405 clients of the six major banks in the country. Using logistical regression, the results amongst other things show that innovation attributes such as lack of complexity, compatibility and perceived usefulness provided by financial innovation, increase the likelihood of e-banking adoption. In light of these findings, the study recommends that banks should focus on designing both useful and easy-to-use e-banking products that will attract potential and existing customers.Keywords: e-banking, financial innovation, Ghana, technology, West Afric

Assessment of Water Quality Parameters of Kpeshie Lagoon of Ghana

A study was carried out on the Kpeshi Lagoon to identify the chemical and physical characteristics of the water. A lot of industrial activities are carried out around the Lagoon and it is being gradually turned into a place of refuse damp. Standard methods were used for determining of chemical and physical characteristics of water samples. Trace metal ions were determined by atomic absorption spectrometry. The lagoon recorded mean pH and conductivity values of 6.32± 2.20 and 87.31 ms/cm±19.14 respectively. Nutrient and organic matter were found to be the most frequent cause of pollution of the lagoon with mean sulphate, nitrate and phosphate concentrations of 11852 mg/l±2915.08, 2905.71 mg/l±616.52 and 487.14 mg/l±257.02 respectively. Iron (Fe) and aluminum (Al) recorded the highest concentration of 13.2 mg/l±3.47 and 13.6 mg/l± 4.29 respectively in water sample. Fish sample revealed calcium and potassium as having the highest concentration of 15709 mg/kg±75.35 and 5999.94 mg/kg±87.30 respectively with sodium and aluminum recording 3775.70 mg/kg± 24.80 and 708.47mg/kg ± 4.95 respectively. The results as compared to the WHO guidelines indicate that the Lagoon is highly contaminated.Keywords: Kpeshi lagoon, nutrients, trace metals

Knowledge on Sexually Transmitted Infections among school-going adolescents in the Sunyani West District of Ghana

The physiological and behavioural characteristics associated with adolescence increase the risk of contracting HIV and other sexually transmitted infections which may have devastating effects on their sexual and reproductive health. The aim of this study was to assess the knowledge of sexually transmitted infections of school going adolescents in the Sunyani West District of Ghana. A cross-sectional study design was used in gathering appropriate survey data from 316 senior high school students. Descriptive and univariate analyses were conducted using STATA version 14.0 software. The age group 16 - 18 years were the majority of respondents. More male than female adolescents knew about all four areas of knowledge as regards sexually transmitted infections. The study showed a statistically significant association (P = 0.001) between level of knowledge of sexually transmitted infections among adolescents and their class/form. Adolescents had good knowledge about sexually transmitted infections despite some misconceptions that could affect their sexual behaviour. Educational levels of students have to be considered in the design of sex education curriculum