RFID-based real-time smart waste management system

In an environmental context, the use of RFID (radio frequency identification) and load cell sensor technology can be employed for not only bringing down waste management costs, but also to facilitate automating and streamlining waste (e.g., garbage, recycling, and green) identification and weight measurement processes for designing smart waste management systems. In this paper, we outline a RFID and sensor model for designing a system in real-time waste management. An application of the architecture is described in the area of RFID and sensor based automatic waste identity, weight, and stolen bins identification system (WIWSBIS).<br /

Real-time early infectious outbreak detection systems using emerging technologies

The use of emerging technologies ( such as RFID - Radio Frequency Identification and remote sensing) can be employed to reduce health care costs and also to facilitate the automatic streamlining of infectious disease outbreak detection and monitoring processes in local health departments. It can assist medical practitioners with fast and accurate diagnosis and treatments. In this paper we outline the design and application of a real-time RFID and sensor-base Early Infectious (e.g., cholera) Outbreak Detection and Monitoring (IODM) system for health care.<br /

RFID-based Hospital Real-time Patient Management System

In a health care context, the use RFID (Radio Frequency Identification) technology can be employed for not only bringing down health care costs but also facilitate automating and streamlining patient identification processes in hospitals and use of mobile devices like PDA, smart phones, for design a health care management systems. In this paper, we outline a RFID model for designing a system in the health care. An application of the architecture is described in the area of RFID-based Real-time Hospital Patien

An empirical analysis of green supply chain management practices in Bangladesh construction industry

The contemporary environmental issues are alleviating through green supply chain management (GSCM) practices in the construction industry; bring economic benefit and sustainability for the business organization. Construction industry operations are very complex and integrated supply chain i.e. GSCM practice is the best way to reduce construction waste and improving environmental performance. The application of GSCM in the construction industry in Bangladesh is still unexplored, and this study explored the relationship between GSCM and construction waste to reduce construction waste through multiple-regression. Quantitative data has been collected by semi-structured survey questionnaire from 30 the construction industries in Bangladesh

Investigating the relationship between green supply chain management practices and greenhouse gas emission performance

Although the literature has predominantly investigated the relationship between green supply chain management practices (GSCMP) and overall environmental performance, research till date has rarely focused on elemental environmental performance such as air emission or greenhouse gas emission (GHGe). Additionally, the level of GSCMP varies in different industrial contexts due to different drivers and institutional pressures. The study of GSCMP in the UK chemical industry is still undiscovered. Hence, this study investigates the relationship between GSCMP and GHGe through multiple-regression. Data has been collected from 45 environmental reports and CDP reports from UK chemical companies applying quantitative content analysis

A new estimate of carbon for Bangladesh forest ecosystems with their spatial distribution and REDD+ implications

In tropical developing countries, reducing emissions from deforestation and forest degradation (REDD+) is becoming an important mechanism for conserving forests and protecting biodiversity. A key prerequisite for any successful REDD+ project, however, is obtaining baseline estimates of carbon in forest ecosystems. Using available published data, we provide here a new and more reliable estimate of carbon in Bangladesh forest ecosystems, along with their geo-spatial distribution. Our study reveals great variability in carbon density in different forests and higher carbon stock in the mangrove ecosystems, followed by in hill forests and in inland Sal (Shorea robusta) forests in the country. Due to its coverage, degraded nature, and diverse stakeholder engagement, the hill forests of Bangladesh can be used to obtain maximum REDD+ benefits. Further research on carbon and biodiversity in under-represented forest ecosystems using a commonly accepted protocol is essential for the establishment of successful REDD+ projects and for the protection of the country’s degraded forests and for addressing declining levels of biodiversity