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A review of bacterial cellulose-based drug delivery systems: their biochemistry, current approaches and future prospects

Abeer MM, Mohd Amin MC, Martin C

J Pharm Pharmacol, 2014 Aug;66(8):1047-61.
PMID: 24628270 DOI: 10.1111/jphp.12234

The field of pharmaceutical technology is expanding rapidly because of the increasing number of drug delivery options. Successful drug delivery is influenced by multiple factors, one of which is the appropriate identification of materials for research and engineering of new drug delivery systems. Bacterial cellulose (BC) is one such biopolymer that fulfils the criteria for consideration as a drug delivery material.

Matched MeSH terms: Technology, Pharmaceutical/methods
Fulltext A microwave low noise amplifier for long term evolution (LTE) application

Abu Bakar Ibrahim, Ashardi Abas

Journal of Engineering and Science Research, 2017;1(2):203-208.
MyJurnal

Wireless communication is a technology that plays an important role in current technology transformation. wireless communication is a method of telecommunication that are available for transmitting large amounts of data, voice and video over long distance using different frequencies. Specifically, Low Noise Amplifier which is located at the first block of receiver system, makes it one of the important element in improving signal transmission. This study was aimed to design a microwave Low Noise Amplifier for Long Term Evolution (LTE) application that will work at 5.8 GHz using high-performance low noise superHEMT transistor FHX76LP manufactured by Eudyna Technologies. The low noise amplifier (LNA) produced gain of 17.2 dB and noise figure (NF) of 0.914 dB. The input reflection (S11) and output return loss (S22) are -17.8 dB and -19.6 dB respectively. The bandwidth of the amplifier recorded is 1.2 GHz. The input sensitivity is compliant with the Long Term Evolution (LTE) standards.

Matched MeSH terms: Wireless Technology
Sharing Malaysian experience with the development of biotechnology-derived food crops

Abu Bakar UK, Pillai V, Hashim M, Daud HM

Food Nutr Bull, 2005 Dec;26(4):432-5.
PMID: 16465992

Biotechnology-derived food crops are currently being developed in Malaysia mainly for disease resistance and improved post harvest quality. The modern biotechnology approach is adopted because of its potential to overcome constraints faced by conventional breeding techniques. Research on the development of biotechnology-derived papaya, pineapple, chili, passion fruit, and citrus is currently under way. Biotechnology-derived papaya developed for resistance to papaya ringspot virus (PRSV) and improved postharvest qualities is at the field evaluation stage. Pineapple developed for resistance to fruit black heart disorder is also being evaluated for proof-of-concept. Other biotechnology-derived food crops are at early stages of gene cloning and transformation. Activities and products involving biotechnology-derived crops will be fully regulated in the near future under the Malaysian Biosafety Law. At present they are governed only by guidelines formulated by the Genetic Modification Advisory Committee (GMAC), Malaysia. Commercialization of biotechnology-derived crops involves steps that require GMAC approval for all field evaluations and food-safety assessments before the products are placed on the market. Public acceptance of the biotechnology product is another important factor for successful commercialization. Understanding of biotechnology is generally low among Malaysians, which may lead to low acceptance of biotechnology-derived products. Initiatives are being taken by local organizations to improve public awareness and acceptance of biotechnology. Future research on plant biotechnology will focus on the development of nutritionally enhanced biotechnology-derived food crops that can provide more benefits to consumers.

Matched MeSH terms: Food Technology
Fulltext Optical-based sensors for monitoring corrosion of reinforcement rebar via an etched cladding Bragg grating

Abu Hassan MR, Abu Bakar MH, Dambul K, Adikan FR

Sensors (Basel), 2012;12(11):15820-6.
PMID: 23202233 DOI: 10.3390/s121115820

In this paper, we present the development and testing of an optical-based sensor for monitoring the corrosion of reinforcement rebar. The testing was carried out using an 80% etched-cladding Fibre Bragg grating sensor to monitor the production of corrosion waste in a localized region of the rebar. Progression of corrosion can be sensed by observing the reflected wavelength shift of the FBG sensor. With the presence of corrosion, the etched-FBG reflected spectrum was shifted by 1.0 nm. In addition, with an increase in fringe pattern and continuously, step-like drop in power of the Bragg reflected spectrum was also displayed.

Matched MeSH terms: Fiber Optic Technology
Fulltext Measuring and mapping urban growth patterns using remote sensing and GIS techniques

Aburas, Maher Milad, Sabrina Ho Abdullah, Mohammad Firuz Ramli, Zulfa Hanan Ash'aari

The Pertanika Journal of Scholarly Research Reviews, 2017;3(1):55-69.
MyJurnal

Remote sensing and geographic information system techniques are significant and popular approaches that have been used in recent years to measure and map urban growth patterns. This paper primarily aims to provide a basis for a literature review of urban growth measurement and mapping by using different methods. For this purpose, the general characteristics of measuring and mapping urban growth patterns are described and classified. The strengths and weaknesses of the various methods have been identified from an analysis and discussion of the characteristics of the techniques. Results of reviews confirm that combining quantitative and qualitative techniques, such as Shannon approach and change detection, to measure and map urban growth patterns will improve understanding of the phenomenon of urban growth. Moreover, using social and economic data such as population and income data will improve understanding of the relationships between causes and effects. The integration of social and economic factors with quantitative and qualitative techniques will contribute to a perfect evaluation of urban growth patterns and land use changes, taking technical, social, economic, spatial, and temporal factors into account.

Matched MeSH terms: Remote Sensing Technology
Fulltext Chromozone: iOS-based exercise heart rate application using universal colour-coding system

Adam Linoby, Jamiaton Kusrin, Muhammad Iskandar Asraff, Muhammad Azamuddin Rodzi, Sufyan Zaki, Hosni Hasan

Jurnal Inovasi Malaysia, 2020;4(1):193-208.
MyJurnal

The conventional heart rate monitor is usually developed with a numeric digital display. This numerical view is obviously not practical to be used during exercise. In this study, the iOS-based mobile application, called Chromozone, was developed to monitor heart rate using the universal color-coding system. The heart rate monitor during the exercise is designed to notify the exercise intensity information to users using the three universal color-coded (i.e. green zone: optimal heart rate; yellow zone: heart rate lower than the optimal zone, and red zone: heart rate higher than the optimal zone). Chromozone is programmed to display uniform colors across the smart phone display, which allows users to easily be informed in regards to the state of exercise intensity. The transfer of heart rate data from the chest transmitter to Chromozone application is designed to use Bluetooth Low Energy (BLE) system technology. The heart rate data is then processed by the application to determine the intensity range of exercise training heart rate based on the user’s personal input (i.e. age, gender, fitness levels and training objective). Preliminary analysis found that Chromozone application is effective in delivering real-time exercise intensity heart rate. Chromozone could potentially help athletes, active individuals and clinical populations to monitor and regulate their workout training regime in a more effective and safer manner.

Matched MeSH terms: Technology
The role of economic complexity in the environmental Kuznets curve of MINT economies: evidence from method of moments quantile regression

Adebayo TS, Rjoub H, Akadiri SS, Oladipupo SD, Sharif A, Adeshola I

Environ Sci Pollut Res Int, 2022 Apr;29(16):24248-24260.
PMID: 34822076 DOI: 10.1007/s11356-021-17524-0

In the face of mounting climate change challenges, reducing emissions has emerged as a key driver of environmental sustainability and sustainable growth. Despite the fact that research has been conducted on the environmental Kuznets curve (EKC), few researchers have analyzed this in the light of economic complexity. Thus, the current research assesses the effect of economic complexity on CO2 emissions in the MINT nations while taking into account the role of financial development, economic growth, and energy consumption for the period between 1990 and 2018. Using the novel method of moments quantile regression (MMQR) with fixed effects, an inverted U-shape interrelationship is found between economic growth and CO2 emissions, thus validating the EKC hypothesis. Energy consumption and economic complexity increase CO2 emissions significantly from the 1st to 9th quantiles. Furthermore, there is no significant interconnection between financial development and CO2 emissions across all quantiles (1st to 9th). The outcomes of the causality test reveal a feedback causal connection between economic growth and CO2, while a unidirectional causality is established from economic complexity and energy use to CO2 emissions in the MINT nations. Based on the findings, we believe that governments should stimulate the financial sector to provide domestic credit facilities to industrialists, investors, and other business enterprises on more favorable terms so that innovative technologies for environmental protection can be implemented with other policy recommendations.

Matched MeSH terms: Technology
The Influence of Organizational External Factors on Construction Risk Management among Nigerian Construction Companies

Adeleke AQ, Bahaudin AY, Kamaruddeen AM, Bamgbade JA, Salimon MG, Khan MWA, et al.

Saf Health Work, 2018 Mar;9(1):115-124.
PMID: 30363069 DOI: 10.1016/j.shaw.2017.05.004

Background: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management.
Methods: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling.
Results: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed.
Conclusion: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.

Matched MeSH terms: Technology
Correlation between hotspots and air quality in Pekanbaru, Riau, Indonesia in 2006-2007

Adelin Anwar, Liew J, Mohd Talib Latif, Mohamed Rozali Othman

Sains Malaysiana, 2010;39:169-174.

Biomass burning is one of the main sources of air pollution in South East Asia, predominantly during the dry period between June and October each year. Sumatra and Kalimantan, Indonesia, have been identified as the regions connected to biomass burning due to their involvement in agricultural activities. In Sumatra, the Province of Riau has always been found to have had the highest number of hotspots during haze episodes. This study aims to determine the concentration of five major pollutants (PM10, SO2, NO2, CO and O3) in Riau, Indonesia, for 2006 and 2007. It will also correlate the level of air pollutants to the number of hotspots recorded, using the hotspot information system introduced by the Malaysian Centre for Remote Sensing (MACRES). Overall, the concentration of air pollutants recorded was found to increase with the number of hotspots. Nevertheless, only the concentration of PM10 during a haze episode is significantly different when compared to its concentration in non-haze conditions. In fact, in August 2006, when the highest number of hotspots was recorded the concentration of PM10 was found to increase by more than 20% from its normal concentration. The dispersion pattern, as simulated by the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT), showed that the distribution of PM10 was greatly influenced by the wind direction. Furthermore, the particles had the capacity to reach the Peninsular Malaysia within 42 hours of emission from the point sources as a consequence of the South West monsoon.

Matched MeSH terms: Remote Sensing Technology
Fulltext Bio-mimic optimization strategies in wireless sensor networks: a survey

Adnan MA, Abdur Razzaque M, Ahmed I, Isnin IF

Sensors (Basel), 2013;14(1):299-345.
PMID: 24368702 DOI: 10.3390/s140100299

For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting, etc., have been extensively explored. The three most important issues among these are energy efficiency, quality of service and security management. To get the best possible results in one or more of these issues in wireless sensor networks optimization is necessary. Furthermore, in number of applications (e.g., body area sensor networks, vehicular ad hoc networks) these issues might conflict and require a trade-off amongst them. Due to the high energy consumption and data processing requirements, the use of classical algorithms has historically been disregarded. In this context contemporary researchers started using bio-mimetic strategy-based optimization techniques in the field of wireless sensor networks. These techniques are diverse and involve many different optimization algorithms. As far as we know, most existing works tend to focus only on optimization of one specific issue of the three mentioned above. It is high time that these individual efforts are put into perspective and a more holistic view is taken. In this paper we take a step in that direction by presenting a survey of the literature in the area of wireless sensor network optimization concentrating especially on the three most widely used bio-mimetic algorithms, namely, particle swarm optimization, ant colony optimization and genetic algorithm. In addition, to stimulate new research and development interests in this field, open research issues, challenges and future research directions are highlighted.

Matched MeSH terms: Wireless Technology*
A possible resolution of Malaysian sunset industry by green fertilizer technology: factors affecting the adoption among paddy farmers

Adnan N, Nordin SM, Rasli AM

Environ Sci Pollut Res Int, 2019 Sep;26(26):27198-27224.
PMID: 31321721 DOI: 10.1007/s11356-019-05650-9

One of the innovations introduced toward tackling the heightening of environmental impact is green technology. In the agricultural industry, the implementation of green fertilizer technology (GFT) for the modern development of environmentally friendly technology is a necessity. Within the Malaysian agriculture sector, the GFT application is needed to increase production levels among all crops. One of the essential commodities of all crops has always been paddy, given its status as the staple food among the country's population. Paddy production with the adoption of GFT potentially opens the path toward sustainable development in the industry as well as it also provides the food safety aspect. Moreover, this helps farmers to improve their productivity on paddy production in Malaysia. This paper attempts to evaluate the contributing socio-psychological factors, innovation attributes of environmental factors, and channels of communication to decision-making among farmers in Malaysia on GFT. Furthermore, this research also aims to assess the moderating role of cost between the farmer's behavioral intention and the adoption of GFT. The sampling process followed the stratified sampling technique-overall, 600 survey questionnaires were dispersed and 437 effective responses were received. The structural analysis results obtained have revealed significant positive effect for perceived awareness, attitude, group norm, perceived behavioral control, environmental concern, agro-environmental regulations, relative advantage, compatibility, trialability, and observability, and on farmer's behavioral intention, a significant effect for paddy farmer's behavioral intention in order to adopt of GFT. Further, the interaction effects of cost on the link between farmer's behavioral intention and adoption of GFT are statistically significant. Though, the finding could not back an outcome for the subjective norm, complexity, and mass media on farmer's behavioral intention. Finally, critical outcomes obtained in this research contribute to deepening the thoughtfulness of paddy farmers' adoption of GFT. This study concludes with policy recommendations and future directions of the research.

Matched MeSH terms: Technology
Fulltext Factors affecting risk tolerance among small-scale seasonal commodity farmers and strategies for its improvement

Agussabti A, Romano R, Rahmaddiansyah R, Isa RM

Heliyon, 2020 Dec;6(12):e05847.
PMID: 33426340 DOI: 10.1016/j.heliyon.2020.e05847

In developing countries, farming businesses are dominated by small-scale farmers with limited resources. Such farmers are subjected to high risks, influencing the success rate of their agricultural endeavors. This study, conducted in Aceh Province, Indonesia, measured the risk tolerance among six groups of farmers with businesses based on the following seasonal commodities: paddy, corn, soy, chili, potato, and tomato. A total of 360 respondents were surveyed and 54 key respondents interviewed. A Likert scale was used to assess the risk tolerance levels of the farmers, and ordinal regression analysis to analyze the factors influencing risk tolerance. Paddy, chili, and potato farmers had a relatively high tolerance to farming risks, whereas corn and tomato farmers showed a moderate tolerance. Soy farmers were classified into the low risk tolerance category. Ordinal analysis indicated that the risk tolerance of farmers in each commodity group was influenced by specific factors. Overall, it was found that the farmers' attitudes to risk tolerance were significantly affected by the following factors: experience, education, farming income, capital, land status, and land size. An intervention strategy including improvements in the curriculum, actors, network, scope of clusters, and technology are among the strategies required to positively improve farmers' perceptions and increase their tolerance to farming risks.

Matched MeSH terms: Technology
Fulltext Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review

Ahad A, Tahir M, Aman Sheikh M, Ahmed KI, Mughees A, Numani A

Sensors (Basel), 2020 Jul 21;20(14).
PMID: 32708139 DOI: 10.3390/s20144047

Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications. These technologies are crucial for the evolution of future smart health-care services. With the growth in the health-care industry, several applications are expected to produce a massive amount of data in different format and size. Such immense and diverse data needs special treatment concerning the end-to-end delay, bandwidth, latency and other attributes. It is difficult for current communication technologies to fulfil the requirements of highly dynamic and time-sensitive health care applications of the future. Therefore, the 5G networks are being designed and developed to tackle the diverse communication needs of health-care applications in Internet of Things (IoT). 5G assisted smart health-care networks are an amalgamation of IoT devices that require improved network performance and enhanced cellular coverage. Current connectivity solutions for IoT face challenges, such as the support for a massive number of devices, standardisation, energy-efficiency, device density, and security. In this paper, we present a comprehensive review of 5G assisted smart health-care solutions in IoT. We present a structure for smart health-care in 5G by categorizing and classifying existing literature. We also present key requirements for successful deployment of smart health-care systems for certain scenarios in 5G. Finally, we discuss several open issues and research challenges in 5G smart health-care solutions in IoT.

Matched MeSH terms: Technology
Fulltext Integrating health belief model and technology acceptance model: an investigation of health-related internet use

Ahadzadeh AS, Pahlevan Sharif S, Ong FS, Khong KW

J Med Internet Res, 2015;17(2):e45.
PMID: 25700481 DOI: 10.2196/jmir.3564

Today, people use the Internet to satisfy health-related information and communication needs. In Malaysia, Internet use for health management has become increasingly significant due to the increase in the incidence of chronic diseases, in particular among urban women and their desire to stay healthy. Past studies adopted the Technology Acceptance Model (TAM) and Health Belief Model (HBM) independently to explain Internet use for health-related purposes. Although both the TAM and HBM have their own merits, independently they lack the ability to explain the cognition and the related mechanism in which individuals use the Internet for health purposes.

Matched MeSH terms: Biomedical Technology/methods*
Aquaculture industry: Supply and demand, best practices, effluent and its current issues and treatment technology

Ahmad A, Sheikh Abdullah SR, Hasan HA, Othman AR, Ismail N'

J Environ Manage, 2021 Jun 01;287:112271.
PMID: 33706093 DOI: 10.1016/j.jenvman.2021.112271

The aquaculture industry has become increasingly important and is rapidly growing in terms of providing a protein food source for human consumption. With the increase in the global population, demand for aquaculture is high and is estimated to reach 62% of the total global production by 2030. In 2018, it was reported that the demand for aquaculture was 46% of the total production, and with the current positive trends, it may be possible to increase tremendously in the coming years. China is still one of the main players in global aquaculture production. Due to high demand, aquaculture production generates large volumes of effluent, posing a great danger to the environment. Aquaculture effluent comprises solid waste and dissolved constituents, including nutrients and contaminants of emerging concern, thereby bringing detrimental impacts such as eutrophication, chemical toxicity, and food insecurity. Waste can be removed through culture systems, constructed wetlands, biofloc, and other treatment technologies. Some methods have the potential to be applied as zero-waste discharge treatment. Thus, this article analyses the supply and demand for aquaculture products, the best practices adopted in the aquaculture industry, effluent characteristics, current issues, and effluent treatment technology.

Matched MeSH terms: Technology
Sustainable biocatalytic synthesis of L-homophenylalanine as pharmaceutical drug precursor

Ahmad AL, Oh PC, Abd Shukor SR

Biotechnol Adv, 2009 May-Jun;27(3):286-96.
PMID: 19500550 DOI: 10.1016/j.biotechadv.2009.01.003

Over the past decade, L-homophenylalanine is extensively used in the pharmaceutical industry as a precursor for production of angiotensin-converting enzyme (ACE) inhibitor, which possesses significant clinical application in the management of hypertension and congestive heart failure (CHF). A number of chemical methods have been reported thus far for the synthesis of L-homophenylalanine. However, chemical methods generally suffer from process complexity, high cost, and environmental pollution. On the other hand, enantiomerically pure L-homophenylalanine can be obtained elegantly and efficiently by employing biocatalytic methods, where it appears to be the most attractive process in terms of potential industrial applications, green chemistry and sustainability. Herein we review the biocatalytic synthesis of vital L-homophenylalanine as potentially useful intermediate in the production of pharmaceutical drugs in environmentally friendly conditions, using membrane bioreactor for sustainable biotransformation process. One envisages the future prospects of developing an integrated membrane bioreactor system with improved performance for L-homophenylalanine production.

Matched MeSH terms: Green Chemistry Technology/methods*
Multi-wavelength laser generation with Bismuthbased Erbium-doped fiber

Ahmad H, Shahi S, Harun SW

Opt Express, 2009 Jan 05;17(1):203-7.
PMID: 19129889

A multi-wavelength laser comb is demonstrated using a nonlinear effect in a backward pumped Bismuth-based Erbium-doped fiber (Bi-EDF) for the first time. It uses a ring cavity resonator scheme containing a 215 cm long highly nonlinear Bi-EDF, optical isolators, polarisation controller and 10 dB output coupler. The laser generates more than 10 lines of optical comb with a line spacing of approximately 0.41 nm at 1615.5 nm region using 146 mW of 1480 nm pump power.

Matched MeSH terms: Fiber Optic Technology/instrumentation; Fiber Optic Technology/methods*
Highly stable graphene-assisted tunable dual-wavelength erbium-doped fiber laser

Ahmad H, Latif AA, Abdul Khudus MI, Zulkifli AZ, Zulkifli MZ, Thambiratnam K, et al.

Appl Opt, 2013 Feb 1;52(4):818-23.
PMID: 23385923 DOI: 10.1364/AO.52.000818

A highly stable tunable dual-wavelength fiber laser (TDWFL) using graphene as a means to generate a highly stable output is proposed and generated. The TDWFL comprises a 1 m long, highly doped erbium-doped fiber (EDF) acting as the linear gain medium, with a 24-channel arrayed waveguide grating acting as a wavelength slicer as well as a tuning mechanism to generate different wavelength pairs. The tuned wavelength pairs can range from 0.8 to 18.2 nm. A few layers of graphene are incorporated into the laser cavity to induce the four-wave-mixing effect, which stabilizes the dual-wavelength output by suppressing the mode competition that arises as a result of homogenous broadening in the EDF.

Matched MeSH terms: Fiber Optic Technology
Fulltext Green synthesis and characterization of silver/chitosan/polyethylene glycol nanocomposites without any reducing agent

Ahmad MB, Tay MY, Shameli K, Hussein MZ, Lim JJ

Int J Mol Sci, 2011;12(8):4872-84.
PMID: 21954331 DOI: 10.3390/ijms12084872

This paper presents the green synthesis of silver nanoparticles (Ag NPs) in aqueous medium. This method was performed by reducing AgNO(3) in different stirring times of reaction at a moderate temperature using green agents, chitosan (Cts) and polyethylene glycol (PEG). In this work, silver nitrate (AgNO(3)) was used as the silver precursor while Cts and PEG were used as the solid support and polymeric stabilizer. The properties of Ag/Cts/PEG nanocomposites (NCs) were studied under different stirring times of reaction. The developed Ag/Cts/PEG NCs were then characterized by the ultraviolet-visible (UV-Vis) spectroscopy, X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM) and Fourier transform infrared (FTIR) spectroscopy.

Matched MeSH terms: Green Chemistry Technology
Fulltext Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Ahmad MI, Ab Rahim MH, Nordin R, Mohamed F, Abu-Samah A, Abdullah NF

Sensors (Basel), 2021 Nov 17;21(22).
PMID: 34833705 DOI: 10.3390/s21227629

As nuclear technology evolves, and continues to be used in various fields since its discovery less than a century ago, radiation safety has become a major concern to humans and the environment. Radiation monitoring plays a significant role in preventive radiological nuclear detection in nuclear facilities, hospitals, or in any activities associated with radioactive materials by acting as a tool to measure the risk of being exposed to radiation while reaping its benefit. Apart from in occupational settings, radiation monitoring is required in emergency responses to radiation incidents as well as outdoor radiation zones. Several radiation sensors have been developed, ranging from as simple as a Geiger-Muller counter to bulkier radiation systems such as the High Purity Germanium detector, with different functionality for use in different settings, but the inability to provide real-time data makes radiation monitoring activities less effective. The deployment of manned vehicles equipped with these radiation sensors reduces the scope of radiation monitoring operations significantly, but the safety of radiation monitoring operators is still compromised. Recently, the Internet of Things (IoT) technology has been introduced to the world and offered solutions to these limitations. This review elucidates a systematic understanding of the fundamental usage of the Internet of Drones for radiation monitoring purposes. The extension of essential functional blocks in IoT can be expanded across radiation monitoring industries, presenting several emerging research opportunities and challenges. This article offers a comprehensive review of the evolutionary application of IoT technology in nuclear and radiation monitoring. Finally, the security of the nuclear industry is discussed.

Matched MeSH terms: Technology; Remote Sensing Technology; Wireless Technology

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