Ankit Jaiswal, Anil Kumar, Indrajit Pal, Bhushan Raisinghani and Tushar H. Bhoraniya
To minimize risk of coastal communities arising from cyclones, several risk mitigation initiatives have been taken in countries. Cyclone shelters have proven to be an important…
Abstract
Purpose
To minimize risk of coastal communities arising from cyclones, several risk mitigation initiatives have been taken in countries. Cyclone shelters have proven to be an important critical infrastructure in saving lives from cyclones. A large number of coastal critical infrastructure in the form of multi-purpose cyclone shelters (MPCS) are built to provide safe shelter during disasters. Often observed, such critical infrastructures are non-operational during the normal period, which makes them difficult to use during any disaster. Efforts have been made to keep these infrastructures in working condition. This research paper aims to bring together various management practices adopted for the MPCS in the South-Asian region with a focus on Bangladesh, and India. It also suggests ways to improve these practices for sustainable management of the MPCS.
Design/methodology/approach
India and Bangladesh are the most vulnerable countries in the South Asian region. As per the Global Climate Index, India and Bangladesh come in the list of “in extreme risk” countries in the world and are vulnerable to several natural hazards, especially climate-induced hydrometeorological hazards. India has a vast coastline and out of 7,516 km of coastline, a large extent, i.e. 5,700 km is prone to cyclones and that keeps 40% of the population vulnerable living within 100 km of the coastline. On the other hand, Bangladesh has a coastline of 580 km, which is equally vulnerable to tropical cyclones. Safeguarding communities from impending coastal risk through coastal cyclone shelters are of prime concern. This paper uses a qualitative approach to analyze secondary data, and literature in the field of critical infrastructure, sustainability, cyclone shelter, and management practice for cyclone shelters.
Findings
To provide sustainability and community ownership of the MPCS, various service plans are adopted in different countries. This paper provides insights on service and sustainability efforts made for the proper functioning of the MPCS in India and Bangladesh. It also provides insight into the roles played by different institutions involved in maintaining the MPCSs.
Originality/value
The research reiterates understanding of the cyclone shelter management from different geographic locations in the South Asian region. Various gaps identified in shelter management practices are discussed in the paper and key recommendations are proposed for better management of cyclone shelters.
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Himanshu Kumar, Gurjeet Singh, Ankit Yadav and Müslüm Arici
This study aims to address the low thermal conductivity and suboptimal performance of phase change materials (PCMs) by examining the impact of geometric adjustments on their…
Abstract
Purpose
This study aims to address the low thermal conductivity and suboptimal performance of phase change materials (PCMs) by examining the impact of geometric adjustments on their melting rate.
Design/methodology/approach
A two-dimensional numerical model was created to investigate the effect of different positions and angular inclinations of the inside heating surface (IHS) on the melting rate of PCM within a latent heat thermal energy storage system. The model analysed the IHS at the centre and below the centre at various positions (10, 20, 30 and 40 mm) and inclinations (0°, 15°, 30°, 45°, 60°, 75° and 90°).
Findings
The 90° inclination (vertical) significantly reduced the melting time by 75% compared to the 0° inclination (horizontal). The best melting performance was recorded with the IHS positioned 20 mm below the centre. At a 30° inclination, the maximum reduction in melting time was observed with the IHS at 30 and 40 mm placements. The system demonstrated the highest energy storage capacity of 307.72 kJ/kg at a 75° inclination with the IHS positioned 10 mm laterally, and the lowest capacity of 255.02 kJ/kg at a 0° inclination with the IHS at a 30 mm lateral position.
Practical implications
To address the deficient part of PCM like low thermal conductivity and below level performance characteristics, a structural (geometrical) adjustment was developed to study the effect on the melting rate of PCM without any cost addition. Using the computational model, an optimised thermal energy storage system is developed that can play a pivotal role in improving the applicability of thermal energy storage systems.
Originality/value
This research is novel in simultaneously investigating the numerical characteristics of PCM melting behaviour with different lateral positions and angular orientations of the IHS. A unique design modification was introduced, using a 2D numerical model and simulations to explore the effects under isothermal conditions.
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Mahmoud Abdulai Mahmoud, Alimatu Sadia Seidu, Ernest Yaw Tweneboah-Koduah and Abdul Salam Ahmed
This study investigated the effect of green marketing mix on consumer repurchase intention in Ghana. The study focusses on the interaction effect of green knowledge on green…
Abstract
Purpose
This study investigated the effect of green marketing mix on consumer repurchase intention in Ghana. The study focusses on the interaction effect of green knowledge on green marketing mix and consumer repurchase in Ghana.
Design/methodology/approach
A quantitative approach to research was employed. In all, 371 participants were chosen using the purposive sampling technique. Data analysis was conducted using the SPSS software.
Findings
The findings showed that green price, green place and green promotion had a positive significant effect on repurchase intention. However, green product insignificantly influenced repurchase intention. The findings further showed that green knowledge moderated the relationship between green price and green place, on repurchase intention. Green knowledge was not found to moderate the relationship between green product, green promotion and repurchase intention.
Originality/value
The study advances our knowledge on green marketing mix, green knowledge and repurchase intention within the beverage sector. It reveals the positive implication of green marketing mix on a firm’s customers using the marketing mix theory.
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Vaclav Snasel, Tran Khanh Dang, Josef Kueng and Lingping Kong
This paper aims to review in-memory computing (IMC) for machine learning (ML) applications from history, architectures and options aspects. In this review, the authors investigate…
Abstract
Purpose
This paper aims to review in-memory computing (IMC) for machine learning (ML) applications from history, architectures and options aspects. In this review, the authors investigate different architectural aspects and collect and provide our comparative evaluations.
Design/methodology/approach
Collecting over 40 IMC papers related to hardware design and optimization techniques of recent years, then classify them into three optimization option categories: optimization through graphic processing unit (GPU), optimization through reduced precision and optimization through hardware accelerator. Then, the authors brief those techniques in aspects such as what kind of data set it applied, how it is designed and what is the contribution of this design.
Findings
ML algorithms are potent tools accommodated on IMC architecture. Although general-purpose hardware (central processing units and GPUs) can supply explicit solutions, their energy efficiencies have limitations because of their excessive flexibility support. On the other hand, hardware accelerators (field programmable gate arrays and application-specific integrated circuits) win on the energy efficiency aspect, but individual accelerator often adapts exclusively to ax single ML approach (family). From a long hardware evolution perspective, hardware/software collaboration heterogeneity design from hybrid platforms is an option for the researcher.
Originality/value
IMC’s optimization enables high-speed processing, increases performance and analyzes massive volumes of data in real-time. This work reviews IMC and its evolution. Then, the authors categorize three optimization paths for the IMC architecture to improve performance metrics.