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1700 nm and 1800 nm band tunable thulium doped mode-locked fiber lasers
(Nature Publishing Group, 2017)
Emami S.D.
;
Dashtabi M.M.
;
Lee H.J.
;
Arabanian A.S.
;
Rashid H.A.A.
;
20433709400
;
35368173000
;
57190622221
;
36025017300
;
56055976300
This paper presents short wavelength operation of tunable thulium-doped mode-locked lasers with sweep ranges of 1702 to 1764 nm and 1788 to 1831 nm. This operation is realized by a combination of the partial amplified spontaneous emission suppression method, the bidirectional pumping mechanism and the nonlinear polarization rotation (NPR) technique. Lasing at emission bands lower than the 1800 nm wavelength in thulium-doped fiber lasers is achieved using mode confinement loss in a specially designed photonic crystal fiber (PCF). The enlargement of the first outer ring air holes around the core region of the PCF attenuates emissions above the cut-off wavelength and dominates the active region. This amplified spontaneous emission (ASE) suppression using our presented PCF is applied to a mode-locked laser cavity and is demonstrated to be a simple and compact solution to widely tunable all-fiber lasers. � 2017 The Author(s).
2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin
(EDP Sciences, 2016)
Azad W.H.
;
Sidek L.M.
;
Basri H.
;
Fai C.M.
;
Saidin S.
;
Hassan A.J.
;
57192919599
;
35070506500
;
57065823300
;
57214146115
;
57192919900
;
57192919800
Flood disaster occurs quite frequently in Malaysia and has been categorized as the most threatening natural disaster compared to landslides, hurricanes, tsunami, haze and others. A study by Department of Irrigation and Drainage (DID) show that 9% of land areas in Malaysia are prone to flood which may affect approximately 4.9 million of the population. 2 Dimensional floods routing modelling demonstrate is turning out to be broadly utilized for flood plain display and is an extremely viable device for evaluating flood. Flood propagations can be better understood by simulating the flow and water level by using hydrodynamic modelling. The hydrodynamic flood routing can be recognized by the spatial complexity of the schematization such as 1D model and 2D model. It was found that most of available hydrological models for flood forecasting are more focus on short duration as compared to long duration hydrological model using the Probabilistic Distribution Moisture Model (PDM). The aim of this paper is to discuss preliminary findings on development of flood forecasting model using Probabilistic Distribution Moisture Model (PDM) for Kelantan river basin. Among the findings discuss in this paper includes preliminary calibrated PDM model, which performed reasonably for the Dec 2014, but underestimated the peak flows. Apart from that, this paper also discusses findings on Soil Moisture Deficit (SMD) and flood plain analysis. Flood forecasting is the complex process that begins with an understanding of the geographical makeup of the catchment and knowledge of the preferential regions of heavy rainfall and flood behaviour for the area of responsibility. Therefore, to decreases the uncertainty in the model output, so it is important to increase the complexity of the model. � The Authors, published by EDP Sciences, 2017.
2002-2012: 10 years of research progress in horizontal-axis marine current turbines
(MDPI AG, 2013)
Ng K.-W.
;
Lam W.-H.
;
Ng K.-C.
;
55612352800
;
23028104400
;
55310814500
Research in marine current energy, including tidal and ocean currents, has undergone significant growth in the past decade. The horizontal-axis marine current turbine is one of the machines used to harness marine current energy, which appears to be the most technologically and economically viable one at this stage. A number of large-scale marine current turbines rated at more than 1 MW have been deployed around the World. Parallel to the development of industry, academic research on horizontal-axis marine current turbines has also shown positive growth. This paper reviews previous research on horizontal-axis marine current turbines and provides a concise overview for future researchers who might be interested in horizontal-axis marine current turbines. The review covers several main aspects, such as: energy assessment, turbine design, wakes, generators, novel modifications and environmental impact. Future trends for research on horizontal-axis marine current turbines are also discussed. � 2013 by the authors; licensee MDPI, Basel, Switzerland.
2D Hydraulic Modelling of Dam Break Analysis Using MIKE FLOOD for Kenyir Dam
(Springer, 2020)
Rashid Mohd Shah M.
;
Mohd Sidek L.
;
Ruzaimei Yalit M.
;
Marufuzzaman M.
;
Basri H.
;
Kamal Yaacob M.
;
57212469771
;
35070506500
;
57208674669
;
57205234835
;
57065823300
;
57212462308
Dams are large barriers built across rivers and streams in order to restrain and utilize the flow of water for numerous purposes like irrigation, generation of hydroelectricity and controlling the flood. Detention of water by large barriers creates lakes and reservoirs. However, a huge amount of water stored behind the dam can possess adverse effects on the downstream during the event of a dam break. It is very much essential for executing dam break studies to provide possible flood inundation information and impact assessment to the dam. This study was conducted to carry out hydraulic and dam break analysis of Kenyir Dam. Dam break modeling was performed under Probable Maximum Flood (PMF) scenario. MIKE 11 1-D model was used to derive breach outflow hydrograph, whereas MIKE 21 2-D model is being used for flood plain modeling and generation of inundations maps downstream of the dam. The routing of flow to the downstream area using MIKE FLOOD model was to obtain the flooded area, flood travel time and maximum flood depth. It was found from the PMF scenario, dam breach outflow hydrograph yielded the peak value of 468,352�m3/s showed potential to flood the downstream area of the dam. This will result in identifying the affected location or villages located at the downstream of Kenyir Dam. Indirectly, it will become a reference for agencies such as Jabatan Pertahanan Awam (JPAM) and Jabatan Bomba dan Penyelamat Malaysia to take safety precautions during the happening of unwilling disaster. � 2020, Springer Nature Singapore Pte Ltd.
33-channels multiwavelength generation of L-band brillouin-erbium fiber laser
(2009)
Al-Mansoori M.H.
;
Mahdi M.A.
;
6505891021
;
7005348074
[No abstract available]
33-channels multiwavelength generation of L-band brillouin-erbium fiber laser
(Optical Society of America, 2009)
Al-Mansoori M.H.
;
Mahdi M.H.
;
6505891021
;
7005348074
[No abstract available]
3D elastic deformable object model for robot manipulation purposes
(Fuji Technology Press, 2014)
Sahari K.S.M.
;
Hou Y.C.
;
57218170038
;
37067465000
This paper presents a mass-spring model applied to the manipulation of an elastic deformable object for home service robot application. A system is also proposed that is used to fold a piece of rectangular cloth from a specific initial condition using a robot. The cloth is modeled as a three-dimensional object in a two-dimensional quadrangular mesh based on a massspring system, and its state is estimated using an explicit integration scheme that computes the particle position as a function of the internal and external forces acting on the elastic deformable object. The current state of the elastic deformable object under robot manipulation is tracked based on the trajectory of the mass points in the mass-spring system model in a self-developed simulator, which integrates a massspring model and a five-degree-of-freedom articulated robotic arm. To test the reliability of the model, the simulator is used to predict the best possible paths for using the robotic arm to fold a rectangular cloth into two. In the test, the state of the object is derived from the model and then compared with the results of a practical experiment. Based on the test, the error is found to be generally acceptable. Thus, this model can be used as an estimator for the vision-based tracking of the state of an elastic deformable object for manipulation by home service robots.
3D numerical investigation of water flow on unsymmetrical chute spillway
(American Institute of Physics Inc., 2020)
Saidin M.S.I.
;
Aziz M.S.A.
;
Zainol M.R.R.M.A.
;
Ishaik M.H.H.
;
Luo P.
;
Malek M.A.
;
57219903352
;
36695908700
;
57193313971
;
57218125463
;
42661996000
;
55636320055
Smooth spillway is a classic design that been use for spilling the massive water flow down from the dam's reservoir. The scale-down model of the smooth spillway with the unsymmetrical shape had been investigating numerically. Due to the unsymmetrical shape, the velocity and the water surface characteristics of at the smooth chute area had been studying by using 3D numerical simulation applixxcation. Realizable ?-e (RKE) turbulence model and volume of fluid (VOF) method had been used to simulate the water flow from the upstream to the downstream of the smooth spillway. The results provide an excellent prediction of the hydraulic characteristics on unsymmetrical smooth chute region. The spanwise of water surface contours and the streamwise water volume fraction profiles were successfully predicted the uneven water surface and the standing waves development at the midplane of spillway. While the streamwise velocity distribution profile has shown slightly different profile pattern at each side of the plane. In the future work will be conducted to validate and verify the simulation results with the experiment results. � 2020 Author(s).
3D printing of high solid loading zirconia feedstock via screw-based material extrusion
(Elsevier Ltd, 2023)
Lim I.Y.
;
Ting C.H.
;
Ng C.K.
;
Tey J.Y.
;
Yeo W.H.
;
S R.
;
Lee K.Y.S.
;
Chuah Y.D.
;
Teng W.D.
;
58203510000
;
57193357476
;
57190445131
;
56042122900
;
26024539700
;
57195516031
;
57221177925
;
36561357900
;
36855788900
Zirconia ceramic (3Y-TZP) feedstocks with solid loadings from 50 vol% to 68 vol%, in a 60:40 paraffin wax to LDPE ratio binder system, were prepared and printed using a screw-based material extrusion printer. A two-step debinding process involving solvent debinding (cyclohexane + ethanol) and thermal debinding (140 �C�600 �C at 0.2 �C/min) followed by sintering at 1500 �C for 2 h was employed. Tests performed include TGA, density test, Vickers hardness and fracture toughness, XRD, and SEM. The TGA result showed two significant drops in weight starting at 180 �C and 380 �C, which corresponds to the decomposition of paraffin wax and LDPE, respectively. A minimum of 40 wt% of soluble binder was removed from the green sample after solvent immersion for 3 h at 40 �C for solid loadings ?55 vol%. High solid loading feedstocks produced samples with comparable density, Vickers hardness and fracture toughness, which are 97.5%, ?12.3 GPa, and ?5.5 MPa m1/2, respectively
4-coils magnetic resonance coupling wireless power transfer with varying rotational angle
(Institution of Engineering and Technology, 2018)
Tan S.Y.
;
Lee H.J.
;
Ker P.J.
;
57202604947
;
57190622221
;
37461740800
This research work performs a study on Wireless Power Transfer (WPT) using 4-coils magnetic resonance where research focuses on varying the rotational angle of the receiver coil from the centre of system. Simulation work is performed using CST Microwave Studio to observe the magnetic coupling for 4-coils system at a varied rotational angle. Comparative analysis was performed at different rotational angle which are 0�, 15�, 30� and 45�. Performance parameters such as scattering parameter, impedance parameter, electric field and magnetic field are analysed. � 2018 Institution of Engineering and Technology. All rights reserved.
5E analysis of a novel designed hot water storage header integrated vacuum tube solar water heater
(Elsevier Ltd, 2023)
Chopra K.
;
Tyagi V.V.
;
Pathak S.K.
;
Sharma R.K.
;
Mansor M.
;
Goel V.
;
Sari A.
;
57200420308
;
15078199200
;
57221807296
;
56424398200
;
6701749037
;
57892187100
;
7006342950
In this study, 5-E analysis of a heat pipe equipped vacuum tube collector system for residential warm water application has been carried out. The issue of overheating in heat pipes and low thermal efficiency is the major key issues associated with heat pipe vacuum tube collector. This design completely removes the problem of overheating. In addition to this copper fins mounting with condensers of heat pipe enhance the heat transmission rate between the condenser & water stored in a manifold. The results of an experimental investigation reveal that thermal and exergy outputs of the proposed system were obtained almost 63�74% and 4�10% respectively. The average energy gain at the end of the days selected for Run-A, B, and C was calculated to be 7505, 6912, and 6619 kJ respectively, whereas the average exergy gain for corresponding runs was found to be 928, 700, and 401 kJ respectively. In addition to this, the proposed system can provide hot water of approximately 125 L, 76 L, and 52 L in temperatures 50 �C, 55 �C, and 60 �C respectively. Concerning to techno-economic investigation, the per liter cost of warm water generation for the proposed & electric geyser was observed to be 0.15 INR/L & 0.47 INR/L respectively. The levelized energy cost, net present worth, and payback time were found to be 5.48 INR/kWh, 55,819 INR, and 4.12 years respectively. The amount of CO2 mitigation by the developed system was found to be 18.76, 17.28, and 16.54 tCO2/lifetime for Run-A, B & C respectively. � 2023
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches
(Institute of Electrical and Electronics Engineers Inc., 2021)
Samidi F.S.
;
Radzi N.A.M.
;
Ahmad W.S.H.M.W.
;
Abdullah F.
;
Jamaludin M.Z.
;
Ismail A.
;
57215054855
;
57218936786
;
25928314500
;
56613644500
;
57216839721
;
36023817800
The Internet of Everything is currently in demand and has burdened the network tremendously. Accommodating this exponential increase in demand will require improved Radio Resource Management technology. This problem can be curbed with higher spectrum bands, reevaluation of Time Division Duplex, deployment of Software Defined Network, and Network Function Virtualization into 5G New Radio (NR) network. Therefore, this work aims to provide an in-depth survey on the recent resource management schemes that can be proposed for 5G NR enhancement by exploiting both rule-based algorithms and machine learning methods. Radio resource management consists of managing user allocation, the antenna transmission power, bandwidth, and modulation scheme. Therefore, in this paper, three categories of radio resource management technologies are introduced: resource allocation, energy efficiency, and interference management. The discussion revolves around their potentials and contributions as well as challenges faced to produce efficient 5G resource management schemes. � 2013 IEEE.
5G Technology: ML Hyperparameter Tuning Analysis for Subcarrier Spacing Prediction Model
(MDPI, 2022)
Samidi F.S.
;
Mohamed Radzi N.A.
;
Mohd Azmi K.H.
;
Mohd Aripin N.
;
Azhar N.A.
;
57215054855
;
57218936786
;
57982272200
;
57858108600
;
57219033091
Resource optimisation is critical because 5G is intended to be a major enabler and a leading infrastructure provider in the information and communication technology sector by supporting a wide range of upcoming services with varying requirements. Therefore, system improvisation techniques, such as machine learning (ML) and deep learning, must be applied to make the model customisable. Moreover, improvisation allows the prediction system to generate the most accurate outcomes and valuable insights from data whilst enabling effective decisions. In this study, we first provide a literature study on the applications of ML and a summary of the hyperparameters influencing the prediction capabilities of the ML models for the communication system. We demonstrate the behaviour of four ML models: k nearest neighbour, classification and regression trees, random forest and support vector machine. Then, we observe and elaborate on the suitable hyperparameter values for each model based on the accuracy in prediction performance. Based on our observation, the optimal hyperparameter setting for ML models is essential because it directly impacts the model�s performance. Therefore, understanding how the ML models are expected to respond to the system utilised is critical. � 2022 by the authors.
5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Ahmad W.S.H.M.W.
;
Radzi N.A.M.
;
Samidi F.S.
;
Ismail A.
;
Abdullah F.
;
Jamaludin M.Z.
;
Zakaria M.N.
;
25928314500
;
57218936786
;
57215054855
;
36023817800
;
56613644500
;
57216839721
;
57213826693
The explosive popularity of small-cell and Internet of Everything devices has tremendously increased traffic loads. This increase has revolutionised the current network into 5G technology, which demands increased capacity, high data rate and ultra-low latency. Two of the research focus areas for meeting these demands are exploring the spectrum resource and maximising the utilisation of its bands. However, the scarcity of the spectrum resource creates a serious challenge in achieving an efficient management scheme. This work aims to conduct an in-depth survey on recent spectrum sharing (SS) technologies towards 5G development and recent 5G-enabling technologies. SS techniques are classified, and SS surveys and related studies on SS techniques relevant to 5G networks are reviewed. The surveys and studies are categorised into one of the main SS techniques on the basis of network architecture, spectrum allocation behaviour and spectrum access method. Moreover, a detailed survey on cognitive radio (CR) technology in SS related to 5G implementation is performed. For a complete survey, discussions are conducted on the issues and challenges in the current implementation of SS and CR, and the means to support efficient 5G advancement are provided. � 2013 IEEE.
A 9- and 13-Level Switched-Capacitor-Based Multilevel Inverter With Enhanced Self-Balanced Capacitor Voltage Capability
(Institute of Electrical and Electronics Engineers Inc., 2022)
Islam S.
;
Siddique M.D.
;
Iqbal A.
;
Mekhilef S.
;
55432805800
;
57200143813
;
7005402806
;
57928298500
Boost action is required for enhancing the output voltage of the sources such as photovoltaic (PV) sources, fuel cells, and battery storage devices, which eliminates the need for additional units. For this purpose, switched-capacitor (SC)-based multilevel inverters (SC-MLIs) are widely used. The proposed SC-based single-phase MLI is able to produce 13-level output ac voltage and furnishes voltage gains of 3 and 6. The same topology is also able to produce a single-phase nine-level ac output with a voltage gain of 4. The abovementioned voltage levels and voltage gains are achieved using the proposed topology just by modifying the switching strategy used for firing the switches and do not require any modification in the proposed SC-MLI structure. The proposed configuration of single-phase MLI requires less switch count to produce 9- and 13-level ac output voltages with the abovementioned voltage gains. The switches connected in the proposed configuration undergo less voltage stress compared to the MLIs suggested in the literature. The comparison of the proposed converter topology with the existing MLIs reported in the literature is included. The validation of the performance of the proposed inverter is carried out using experimental results captured on a low-power laboratory prototype. � 2021 IEEE.
Ab initio insight into the physical properties of MgXH3 (X = Co, Cu, Ni) lead-free perovskite for hydrogen storage application
(Springer, 2023)
Rehman Z.
;
Rehman M.A.
;
Rehman B.
;
Sikiru S.
;
Qureshi S.
;
Ali E.M.
;
Awais M.
;
Amjad M.
;
Iqbal I.
;
Rafique A.
;
Bibi S.
;
57225362130
;
57204391658
;
57355281700
;
57211063469
;
56247296300
;
57004451100
;
57940545000
;
57976351200
;
58832018200
;
57219255410
;
56400623400
Renewable energy systems are vital for a sustainable future, where solid-state hydrogen storage can play a crucial role. Perovskite hydride materials have attracted the scientific community for hydrogen storage applications. The current work focuses on the theoretical study using density functional theory (DFT) to evaluate the characteristics of MgXH3 (X = Co, Cu, Ni) hydrides. The structural, vibrational, electronic, mechanical, thermodynamic, and hydrogen storage properties of these hydrides were investigated. The equilibrium lattice parameters were calculated using the Birch-Murnaghan equation of state-to-energy volume curves. The elastic constants (Cij) and relevant parameters, such as Born criteria, were calculated to confirm the mechanical stability of the hydrides. The Cauchy pressure (C p) revealed brittle or ductile behavior. The outcomes of the Pugh ratio, Poisson ratio, and anisotropy were also calculated and discussed. The absence of negative lattice vibrational frequencies in phonon dispersion confirmed the lattice�s dynamic stability. The heat capacity curves of thermodynamic properties revealed that hydrides can conduct thermal energy. The metallic character and ample interatomic distances of hydrides were confirmed by the band structure and population analysis, which confirmed that hydrides can conduct electrical energy and adsorb hydrogen. The density of state (DOS) and partial DOS unveiled the role of specific atoms in the DOS of the crystal. The calculated gravimetric hydrogen storage capacity of MgCoH3, MgCuH3, and MgNiH3 hydrides was 3.64, 3.32, and 3.49wt%, respectively. Our results provide a deeper understanding of its potential for hydrogen storage applications through a detailed analysis of MgXH3 (X = Co, Cu, Ni) perovskite hydride material. � 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Abnormal event detection in indoor environment based on acoustic signal processing
(Little Lion Scientific, 2021)
Abdrakhmanov R.
;
Tolep A.
;
Kozhamkulova Z.
;
Narbekov N.
;
Dossanov N.
;
Yeskarayeva B.
;
57222085447
;
57133046300
;
57224359860
;
57224366230
;
57224352870
;
57133026800
Alert the public about emergencies is to bring to public alerts and emergency information on dangers arising from the threat or occurrence of emergency situations of natural and technogenic character, as well as the conduct of hostilities or owing to these actions, the rules of behavior of the population and the need for protection activities. The aim of the work is to develop a method for detecting the sounds of critical situations in the sound stream. In this paper, the term "critical situation" is understood as an event, the characteristic sound signs of which can speak of acoustic artifacts (a shot, a scream, a glass strike, an explosion, a siren, etc.). The developed method allows you to classify events into two groups: Normal (for example, street noise) and critical situations (for example, an explosion, a scream, a shot). To determine events, machine learning is used, namely the Support Vector Machine method, which solves classification and regression problems by constructing a nonlinear plane separating the solutions. SVM has a fairly wide application in data classification and shows good results in event detection problems. As part of the work, the minimum set of features for the machine learning model was determined, small training and test samples were formed, and a method was developed that classifies normal and abnormal events. � 2021 Little Lion Scientific. All rights reserved.
Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
(2007)
Yap K.S.
;
Abidin I.Z.
;
Ahmad A.R.
;
Hussien Z.F.
;
Pok H.L.
;
Ismail F.I.
;
Mohamad A.M.
;
24448864400
;
35606640500
;
35589598800
;
11640353300
;
25646345800
;
25645748900
;
24448210200
This paper presents an intelligent system to reduce Non Technical Loss (NTL) using hybrid Support Vector Machine (SVM) and Genetic Algorithm (GA). The main motivation for this research is to assist Sabah Electricity Sdn. Bhd. (SESB) to reduce their distribution loss, estimated around 15% at present in Sabah State, Malaysia. The hybrid algorithm is able to preselect customers to be inspected on-site for abnormalities or potential fraud according to their consumption patterns. SVM is a classification technique developed by Vapnik [1] but a practical difficulty of using SVM is the selection of parameters such as C and kernel parameter, � in Gaussian RBF kernel. The purpose of choosing parameters is to get the best generalization performance. Genetic Algorithm (GA) is used to search for the best parameter of SVM classification by using combination of random and pre-populated genomes from Pre-Populated Database (PPD). It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. The paper also highlights comparison results between typical SVM and SVM-GA. The highest fraud detection accuracy for SVMGA is 94%.
Absolute homogeneity test of Kelantan catchment precipitation series
(American Institute of Physics Inc., 2015)
Ros F.C.
;
Tosaka H.
;
Sasaki K.
;
Sidek L.M.
;
Basri H.
;
57222964772
;
55812843500
;
57192402740
;
35070506500
;
57065823300
Along the Kelantan River in north east of Malaysia Peninsular, there are several areas often damaged by flood during north-east monsoon season every year. It is vital to predict the expected behavior of precipitation and river runoff for reducing flood damages of the area under rapid urbanization and future planning. Nevertheless, the accuracy and reliability of any hydrological and climate studies vary based on the quality of the data used. The factors causing variations on these data are the method of gauging and data collection, stations environment, station relocation and the reliability of the measurement tool affect the homogenous precipitation records. Hence in this study, homogeneity of long precipitation data series is checked via the absolute homogeneity test consisting of four methods namely Pettitt test, standard normal homogeneity test (SNHT), Buishand range test and Von Neumann ratio test. For homogeneity test, the annual rainfall amount from the daily precipitation records at stations located in Kelantan operated by Department of Irrigation and Drainage Malaysia were considered in this study. The missing values were completed using the correlation and regression and inverse distance method. The data network consists of 103 precipitation gauging stations where 31 points are inactive, 6 gauging stations had missing precipitation values more than five years in a row and 16 stations have records less than twenty years. So total of 50 stations gauging stations were evaluated in this analysis. With the application of the mentioned methods and further graphical analysis, inhomogeneity was detected at 4 stations and 46 stations are found to be homogeneous. � 2015 AIP Publishing LLC.
Absorption Coefficient of Bulk III-V Semiconductor Materials: A Review on Methods, Properties and Future Prospects
(Springer, 2022)
Lee H.J.
;
Gamel M.M.A.
;
Ker P.J.
;
Jamaludin M.Z.
;
Wong Y.H.
;
David J.P.R.
;
57190622221
;
57215306835
;
37461740800
;
57216839721
;
36605495300
;
25647614700
Over the last few decades, research works have focused on elucidating the optical properties of semiconductor materials. Despite remarkable progress in the measurement and calculation of the absorption coefficient for semiconductor materials, there is a lack of comprehensive review on the comparative study of absorption coefficient properties for different types of bulk semiconductor materials and their methods for calculating the absorption coefficient. Hence, this paper summarizes the fundamentals of the various methods used to determine the absorption coefficient properties of bulk growth semiconductor crystals, and discusses their advantages and disadvantages. Furthermore, this review provides comprehensive results from recent studies and findings on the absorption properties of near- to mid-infrared (wavelengths from 800 to 7300�nm) group III-V semiconductor materials. In addition, the absorption coefficient of the conventional group IV semiconductors (silicon and Ge) were included for performance comparison. Critical analysis was done for the reviewed materials concerning their material properties, such as band gap structure, crystal quality, and the structural design of the device. The related studies on the methods to determine the absorption coefficients of semiconductors and to improve the likelihood of absorption performance were well highlighted. This review also provides an in-depth discussion on the knowledge of absorption coefficient based on a wide range of semiconductor materials and their potential for sensors, photodetectors, solar and photovoltaic application in the near to mid infrared region. Lastly, the future prospects for research on absorption coefficients are discussed and the advancement in the determination of absorption coefficients for new ternary and quaternary materials is proposed using artificial intelligence such as neural networks and genetic algorithm. � 2022, The Minerals, Metals & Materials Society.

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