UniMAP RIS :: Browsing Publications 2022 by Issue Date

Publication

Rssi-based for device-free localization using deep learning technique

( 2020-06-01)

Sukor A.S.A.

;

Latifah Munirah Kamarudin

;

Ammar Zakaria

;

Rahim N.A.

;

Sudin S.

;

Nishizaki H.

Device-free localization (DFL) has become a hot topic in the paradigm of the Internet of Things. Traditional localization methods are focused on locating users with attached wearable devices. This involves privacy concerns and physical discomfort especially to users that need to wear and activate those devices daily. DFL makes use of the received signal strength indicator (RSSI) to characterize the user’s location based on their influence on wireless signals. Existing work utilizes statistical features extracted from wireless signals. However, some features may not perform well in different environments. They need to be manually designed for a specific application. Thus, data processing is an important step towards producing robust input data for the classification process. This paper presents experimental procedures using the deep learning approach to automatically learn discriminative features and classify the user’s location. Extensive experiments performed in an indoor laboratory environment demonstrate that the approach can achieve 84.2% accuracy compared to the other basic machine learning algorithms.

9 1

Publication

Fire exposure, impact responses, and burst tests of glass-reinforced epoxy (GRE) composite pipes

( 2020-07-09)

Abrar F.S.B.

;

Mohd Shukry Abdul Majid

;

Mohd Ridzuan Mohd Jamir

The paper presents the fire exposure, impact responses, and burst tests of glass-reinforced epoxy (GRE) composites pipes. Fire responses of three different fire exposure times (10 s, 20 s and 30 s) were conducted, followed by impact loadings. Three different energy levels (5 J, 7.5 J, and 10 J) were applied for impact responses and followed by monotonic burst tests. Monotonic burst tests were conducted on GRE samples using hydrostatic pressure testing equipment in accordance with ASTM D1599. The result shows that the longer the time of fire exposure towards GRE pipes, the higher the impact energy applied to the pipes, the lower the burst strength of the pipes. The maximum burst strength found decreased with an increase in the fire exposure time. The results also indicated that the strength of the GRE pipes significantly decreases with an increase in impact energy level.

2

Publication

Assessment of a Self-sustaining Drainage Ditch: Water Quality Monitoring and Sampling

( 2021-01-01)

Amirah A.S.N.

;

Tan Wei Hong

;

Faridah Wahab

;

Allan Melvin Andrew

;

Nik Zainab Nik Azizan

;

Ragunathan Al Santiagoo

;

Shahniza M.S.N.

A research was to determine the water quality in the drainage ditch, and the area under investigation was in Kg Wang Ulu near Perlis. Five parameters of surface water quality physical and chemical characteristics were assessed, and pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and ammonia nitrogen (NH3-N) were analyzed. Water sampling was carried out during the time before planting, during planting and after planting in a single season. Results shown at NH3-N at point 1 varying from 1.18 to 4.82 mg/L, pH of 6.18 to 7.38, DO of 3.06 to 9.06 mg/L, BOD of 6.45 to 19.16 mg/L and COD of 18 to 28 mg/L. At point 2, 1 NH3-N ranging from 1.52 to 4.89 mg/L, pH values ranging from 6.13 to 7.38, DOs ranging from 3.19 to 8.63 mg/L, BOD ranging from 7.06 to 14.98 mg/L and COD ranging from 19 to 30 mg/L. Finally, point 3 results for NH3-N ranging from 2.50 to 5.92 mg/L, pH values ranging from 6.19 to 7.41, DO ranging from 3.06 to 9.06 mg/L, BOD ranging from 6.18 to 12.78 mg/L, and COD ranging from 18 to 42 mg/L, respectively.

Publication

Evaluation of fault location algorithm in distribution power system lines using differential equation method with fault indicator approach

( 2022-01-01)

Izatti Md Amin

;

Mohd Rafi Adzman

A malfunction in any electrical system network will eventually happen. Damage and minor problems are less likely to develop if a problem can be resolved quickly. As a general rule, fault location is a procedure of aiming the location fault at the maximum feasible accuracy. In order to locate faults in distribution lines for multi-ended power systems, this work provides a single line to ground (SLG) fault location algorithm employing a differential equation (DE) with a fault indication approach. The overall distribution lines modelcombines the generalized compact models of all homogenous line sections. Furthermore, this study approached fault indicator equipment as an indicator during every section fault. Hence, the ATP Draw has simulated the medium voltage distribution linesconsisting of overhead lines (OHL) and multiple underground cable lines (UCL). The evaluation of the method considered the parameter of fault resistance, fault distance, and fault inception angle. The results show that the fault location algorithm using DE fault location algorithm with fault indicator information produced the most accurate result.

Publication

Zero Index Metamaterial of Simulated Split Ring Resonator Element

( 2022-01-01)

Mohd Aminudin Jamlos

;

Othman N.A.

;

Wan Azani Wan Mustafa

;

Hasliza A Rahim @ Samsuddin

;

Alfilh R.H.C.

;

Mohamad Nur Khairul Hafizi Rohani

Split Ring Resonator of Zero Index metamaterial element has been proposed. The Split Ring Resonator consists of four loops; a more modest loop inside a bigger one, with openings, consolidated into each loop at the far edges, and an expansion of the rectangular loop to realize the gap (split) which permits control of the capacitance. The split ring is designed and simulated using sophisticated simulation software to have accurate simulation results. Two waveguide ports of terminals have been used within the assigned unit cell boundary for the simulated purpose. A parametric study has taken place for the width and length of the split ring resonator to find the optimized design to have zero index at the desired frequency of 2.7 GHz. The optimized dimensions of the split ring resonator are 7.29 mm and 6.0 mm for width and length respectively. The split ring resonator successfully recorded zero index (phase) at the desired frequency of 2.7 GHz for low-frequency applications specifically for GHz ranges.

Publication

Microwave Dielectric Properties and Absorption Analysis for Seashells Through Transmission-Reflection Method Using Waveguides

( 2022-01-01)

Cheng E.M.

;

Tan W.H.

;

Tan W.C.

;

Lim E.A.

This work is aim to investigate microwave dielectric behavior and microwave absorption of seashells through transmission-reflection method using waveguides. Microwave dielectric and absorption characteristic are judged through the measured reflection and transmission coefficient via two waveguides in conjunction with P-series network analyzer (PNA) from 8.2 GHz to 18 GHz. Anadara granosa seashells are collected in this work for comparison. The measurement was conducted in various temperature, i.e. 35 ℃, 50 ℃ and 60 ℃. The sample was prepared in specified dimension, according to the operating frequency range. Results in this study reveals absorption coefficient is function of frequency and dimension. As the frequency increase, the | S11 | decrease whereas the | S21 | increase. Better absorption was demonstrated by seashells in room temperature than the heated seashell.

Publication

Breast Cancer Detection and Classification on Mammogram Images Using Morphological Approach

( 2022-01-01)

Wan Azani Wan Mustafa

;

Azmi A.A.

;

Mohd Aminudin Jamlos

;

Alquran H.

;

Wan Khairunizam Wan Ahmad

;

Ismail S.

;

Alkhayyat A.

;

Haron J.

Breast cancer is one of the most common cancers affecting women worldwide. Mammography is the most well-known and effective method to detect early signs of breast cancer. The purpose of this paper is to detect breast cancer on the mammogram image to classify the disease through morphological techniques. Using conventional methods makes radiology difficult to detect cancer found in the patient's breast. This proposal can be divided into several elements, which are input database, image preprocessing, image segmentation, morphological analysis, and object recognition. First, image preprocessing will be done using the Weiner and Median filters. Second, the thresholding method for image segmentation will be performed, and lastly, morphology will remove imperfections introduced during the image segmentation process. Finally, the image is classified into two classes: normal and cancerous images. A median filter and 0.95 thresholding achieve an accuracy of 93.71%, a sensitivity of 94.36%, and a specificity of 82.53% for the cancerous images.

Publication

Antifungal Activity of Essential Oil Extracted from Melaleuca alternifolia Against Pathogenic Fungi on Mango (Mangifera Indica L.) for Mango Postharvest Application

( 2022-01-01)

Ahmad Anas Nagoor Gunny

;

Seminai J.J.A.

;

Mohd Hishamuddin Che Mat

;

Ahmad A.A.

;

Yusof R.

;

Fadhilnor Abdullah

An infection by pathogenic fungi is one of the major problems in post-harvest stage of mangoes. Therefore, the extraction of essential oil from Melaleuca alternifolia is being tested as a natural fungicide for controlling fungus infections of selected mangoes locally known as susu mango. The extraction was performed using Solvent-Free Microwave Assisted Extraction with a yield of 0.57% concentration. The inhibitory effect of this essential oil against isolated fungi from mango was investigated through in-vitro and in-vivo analyses. Distilled water was used as a negative control while chemical fungicide (Globus 5.5) was used as a positive control in the analyses. The mycelial growth inhibition of the extracted essential oil for poisoned food test and disc diffusion method showed 62.50 ± 0.49% and 59.70 ± 0.30%, respectively, for in-vivo experiment which used unwounded and artificially wounded mangoes. The result also demonstrated that the essential oil applied on the mangoes could decrease the disease incidence from 100% to 61.33% for up to 10 days incubation at room temperature compared to that of the control. Hence, the essential oil of Melaleuca alternifolia can act as a green fungicide and is also a promising alternative to the synthetic chemical fungicide for controlling post-harvest disease on mangoes.

Publication

Performance of a Single-phase Grid-integrated Photovoltaic based DSTATCOM using Modified p-q Theory Control Algorithm.

( 2022-01-01)

Ridzwan M.A.H.

;

Nor Hanisah Baharudin

;

Tunku Muhammad Nizar Tunku Mansur

;

Kumuthawathe Ananda-Rao

;

Surina Mat Suboh

This paper investigates the performance of a single-phase grid-integrated photovoltaic based DSTATCOM by using modified p-q theory control algorithm. Previously, p-q theory controller has been employed for a three-phase DSTATCOM system. Thus, this paper employs a modified p-q theory control algorithm for a single-phase grid-integrated solar PV (GCPV) based DSTATCOM. Thus, the GCPV system has improved with DSTATCOM capabilities such as harmonic reduction for a single-phase distribution system under varying solar irradiances. The simulation results have been obtained by using MATLAB/SIMULINK software in accordance with IEEE Standard 519:2014, which stated that the THD should be less than 8% for the line current at the Point of Common Coupling (PCC). The performance of the single-phase GCPV based DSTATCOM has been analysed for dynamic and steady-state conditions under varying solar irradiances.

Publication

Detection of Polycystic Ovary Syndrome (PCOS) Using Machine Learning Algorithms

( 2022-01-01)

Hdaib D.

;

Almajali N.

;

Alquran H.

;

Wan Azani Wan Mustafa

;

Al-Azzawi W.

;

Alkhayyat A.

One of the most common diseases in women of reproductive age is Polycystic Ovary Syndrome (PCOS). PCOS diagnosis can be tricky, because not everyone with PCOS has polycystic ovaries (PCO), nor does everyone with ovarian cysts have PCOS, hence the pelvic ultrasound as a stand-alone diagnosis is not sufficient. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new and easy method to diagnose it. Therefore, we had successfully built a high performing diagnostic model using MATLAB. The data was obtained from the website Kaggle, and the dataset is called Polycystic Ovary Syndrome. In this paper various machine algorithms were employed by utilizing seven classifiers. Results demonstrated that Linear Discriminant classifier exhibits the best performance in terms of accuracy, while in terms of sensitivity, the KNN classifier had the best result. Also, a comparison with four other research papers that exploited the same PCOS dataset was done in terms of implementation platforms, evaluation methods, classifiers, classes, accuracy, and precision of each classifier. Our research excelled among all in terms of accuracy and varied in precedence with precision. MATLAB had shown substantial results and a great model fitting embedded approaches, scoring a high accuracy and precision outcome compared to other studies. Other improvements on the overall PCOS prediction can involve employing preprocessed ultrasound images with the features presented in the dataset.

Publication

A Hybrid Optimization Approach for Power Loss Reduction and Voltage Profile Improvement in Distribution System

( 2022-01-01)

Noor Najwa Husnaini Mohammad Husni

;

Siti Rafidah Abdul Rahim

;

Mohd Rafi Adzman

In the past decades, the electrical power system is designed and developed to satisfy the owner demand that continuously appears in many variations. Hence, engineers have put their full effort to solve the problem associated with electrical power systems that come and might arise in the future. Therefore, distributed generation (DG) has been introduced to solve multiple electrical power system problems. The proposed methodology presented in this study focuses on minimizing network power losses, improving the voltage profile of system operation, and security constraints in a distribution. It is known that the location and capacity of DG play significant roles in the system losses in a distribution system. A hybrid metaheuristic nature-inspired algorithm is presented in this study for optimal location and sizing of multiple DG units. The best location and optimal sizing of DGs will be determined through Hybrid metaheuristic of Artificial Immune System Firefly Algorithm (AISFA). The designated technique will be tested into IEEE-69 test system using MATLAB software. For reducing the power losses, the simulation results have shown that bus 61 is the best location for reducing power losses and improving voltage profile in IEEE-69 test system in the preliminary result. By installing DG at bus 61, the real power losses improve about 89%, with a voltage profile improvement index up to 1.249099.

Publication

Potential of Pretreated Spent Coffee Ground as Adsorbent for Oil Adsorption

( 2022-01-01)

Nasaruddin N.F.N.

;

Hairul Nazirah Abdul Halim

;

Siti Khalijah Mahmad Rozi

;

Zulfakar Mokhtar

;

Tan L.S.

;

Jusoh N.W.C.

Spent Coffee Ground (SCG) has the potential of becoming a low-cost adsorbent for oil removal. However, the effectiveness of SCG as an oil adsorbent is limited by its hydrophilicity. In this work, chemical pretreatment of SCG with acid and alkali was evaluated as a means of enhancing its performance for adsorbing palm cooking oil. The surface morphology of raw and pretreated SCG samples was characterised using a Scanning Electron Microscope (SEM). The functional groups were analysed using Fourier Transform Infrared (FTIR) spectroscopy. A comparison between adsorption performances was performed in terms of contact time in batch adsorption experiments to determine the adsorption capacity of SCG-based adsorbents with oil. The SEM results showed that more developed pores were present on the acid- and alkali-treated SCG samples compared to on the raw SCG sample, while the FTIR results indicated the elimination of hydrophilic cellulose and hemicellulose on these samples. According to these results, both acid- and alkali-treated SCG have better tendencies of adsorbing oil compared to raw SCG. The maximum oil adsorption capacity (2.549 g/g) occurred after 150 min of contact time between alkali-treated SCG adsorbents and oil.

Publication

Finite element analysis on structural behaviour of geopolymer reinforced concrete beam using Johnson-Cook damage in Abaqus

( 2022-01-01)

Nurul Aida Mohd Mortar

;

Mohd. Mustafa Al Bakri Abdullah

;

Kamarudin Hussin

;

Rafiza Abd Razak

;

Sanusi Hamat

;

Hilmi A.H.

;

Shahedan N.N.

;

Li L.Y.

;

Aziz I.H.A.

This paper details a finite element analysis of the behaviour of Si-Al geopolymer concrete beam reinforced steel bar under an impulsive load and hyper velocity speed up to 1 km/s created by an air blast explosion. The initial torsion stiffness and ultimate torsion strength of the beam increased with increasing compressive strength and decreasing stirrup ratio. The study involves building a finite element model to detail the stress distribution and compute the level of damage, displacement, and cracks development on the geopolymer concrete reinforcement beam. This was done in ABAQUS, where a computational model of the finite element was used to determine the elasticity, plasticity, concrete tension damages, concrete damage plasticity, and the viability of the Johnson-Cook Damage method on the Si-Al geopolymer concrete. The results from the numerical simulation show that an increase in the load magnitude at the midspan of the beam leads to a percentage increase in the ultimate damage of the reinforced geopolymer beams failing in shear plastic deformation. The correlation between the numerical and experimental blasting results confirmed that the damage pattern accurately predicts the response of the steel reinforcement Si-Al geopolymer concrete beams, concluded that decreasing the scaled distance from 0.298 kg/m3 to 0.149 kg/m3 increased the deformation percentage.

Publication

Mechanical Properties of Concrete with Activated Sugarcane Bagasse Ashes as Cement Replacement

( 2022-01-01)

Misnon N.A.

;

Khairuddin F.H.

;

Asri S.Z.M.

;

Nur Liza Rahim

;

Fikri R.

;

Osmi S.K.C.

Sugarcane bagasse waste is one of the biomass wastes generated in Malaysia. This study investigates the potential of the sugarcane bagasse waste to replace cement content in concrete mixtures by converting the bagasse waste into activated carbon ashes using physical activation method. The mechanical properties of sugarcane bagasse activated carbon concrete was carried out to determine the effectiveness of activated sugarcane bagasse ash (SBA) in the concrete mix by performing concrete hardened test i.e., compressive test, splitting tensile test and flexural test. The SBA replacement in concrete mixture showed a promising result and has a great potential to be pozzolan materials.

Publication

Effect of phase imbalance on the mm-wave signal in the DWDM-RoF system

( 2022-01-01)

Mahmood R.M.

;

Yaakob S.

;

Ahmad F.A.

;

Ahmad Anas S.B.

;

Zan Z.

;

Hassan A.

;

Kadir M.Z.A.

;

Mohd Rashidi Che Beson

;

Mahmud A.

Dense wavelength division multiplexing (DWDM) and radio over fiber (RoF) are promising technologies that are able to provide unlimited transmission capacity, which meets the growing demands of bandwidth in communication systems. In this paper, an architecture for DWDM-RoF access networks uses a single Mach Zehnder modulator (MZM) to generate the mm-wave signal. This paper aims to study the effect of phase imbalance on the mm-wave signal to reduce the insertion loss in the system. It is found that the phase imbalance affects the insertion loss. The phase imbalance can be controlled by adjusting the injected phase, and the best result is collected at π 3 and 5π 12 phases.

Publication

Perpendicular High Isolation MIMO Antenna

( 2022-01-01)

Mohd Aminudin Jamlos

;

Sabri N.H.M.

;

Wan Azani Wan Mustafa

;

Khairul Najmy Abdul Rani

;

Syed Zulkarnain Syed Idrus

;

Husna H.

This research presented a perpendicular high isolation MIMO antenna for LTE advance application. A high gain perpendicular MIMO antenna is concentrated on designing used in LTE advance application. The issues of low isolation of conventional antenna can be solved by structuring a MIMO antenna in order to increase the isolation in LTE advance application. Generally, the array antenna design causes a bigger antenna size and has a mutual coupling which lead to spectral efficiency damage and reduce the MIMO antenna framework performance. The substrate material like FR-4 is choosing as a dielectric substrate due to its good performances for many applications beside it has a low cost and more usable. The advantage of copper such as has a great relative material, cheaper and easy to construct is choose in this project as a conductive material. ADS software has been utilized for the structure stage to design the antenna. Then, the results are evaluated in terms of return loss (S11 and S22), mutual coupling (S12 and S21), match impedance, directivity, radiation pattern, gain and radiated power. Vector Network Analyzer (VNA) is used to measure the fabricated antenna. The factor of cable loses and the soldering technique will make the measurement result was slightly change from the simulating result. However, the antenna design satisfied the proficiency necessity of the antenna which the frequency is drop at 2.5 GHz with the return loss is below than −10 dB.

Publication

Evaluation of Contact Lens Data Acquisition Approaches using Enhancement Techniques

( 2022-01-01)

Megat Abd Mana N.A.

;

Chee Chin L.

;

Yazid H.

;

Fook C.Y.

Contact lenses can be helpful to improve the quality of human life. The inspection process plays a big role to produce good quality contact lens products. However, there is a challenge to detecting the defects in contact lenses during the production line. The transparent type of silicone hydrogel contact lens is one of the most difficult to detect the defects inside it. The primary purpose of this paper is to examine the differences in quality images between four different data acquisition approaches based on two image enhancement techniques, Gaussian blurring and Contrast Limited Adaptive Histogram Equalization (CLAHE). Acquiring a clear and good-quality image, required a specific experimental setup which consists of a high-resolution camera lens and also the right position of the camera stand and camera angle. Based on performance metrics for both enhancement techniques, Approach 2 showed better performance compared to other approaches when the result from Gaussian blurring showed the highest value of PSNR (29.02321), lowest values of MSE (81.42533), and lowest value AMBE (-0.55510). While for the CLAHE method, the result showed the highest value of PSNR (28.50377), the lowest value of MSE (91.77044), and the lowest value of AMBE (-0.05532). This proves that approach 2 provides a better quality image due to less noise.

Publication

Confusion Matrix as Performance Measure for Corner Detectors

( 2022-01-01)

Ramli N.E.

;

Yahya Z.R.

;

Said N.A.

Nowadays, corner detection algorithms have been proposed by several researchers who described them contrarily, depending on their respective viewpoints to obtain the data and information as a human eye does. Basically, no researchers have come up with a technique to compare corner detectors with another’s. Thus, this study proposed to adapt the confusion matrix technique as a performance measure for corner detectors. The judgement accuracy of every corner detector will only be pleased if the actual corner points are already known. Therefore, this study is attracted to explore the accuracy of corner detectors, namely the Global and Local Curvature Scale space (GLCSS), Affine Resilient Curvature Scale Space (ARCSS), and Harris. These corner detectors were analysed using the nine characters selected from Jawi, Chinese, and Tamil characters, three characters each, respectively. This study specifically detected the true corners for these characters using the determined corner detectors. The actual corner of all these characters was confirmed through a survey of twenty respondents. The majority of marked corners by respondents were considered actual corner points. Then, the input image for all characters was converted into a grayscale image. Every image will undergo pre-processing step, the process of boundary extraction using Canny edge detector. Thus, the edge image was extracted to get the corner point by applying the corner detectors, and the corner point detected was marked on that image. Above and beyond, the study aims to introduce a confusion matrix approach as a performance measure to carry out the most outstanding algorithm in detecting the true corner points for all the tested characters. From the evaluation, GLCSS and Harris algorithms have shown good accuracy. Henceforth, the study is not trying to judge the goodness of each corner detector but only to introduce confusion matrix as a tool that can be considered to measure the performance of the corner detector.

Publication

Synergistic Effect Between Iron and Food/Microorganism (F/M) Ratio in Biological Wastewater Treatment

( 2022-01-01)

Subramaniam L.S.

;

Nabilah Aminah Lutpi

;

Wong Yee Shian

;

Ong Soon An

;

Nazerry Rosmady Rahmat

;

Siripatana C.

Biological wastewater treatment is mainly dependent on the actions of microorganisms that can be used to treat wastewater. Microorganisms will start to stick together when they degrade the organic matter in wastewater for food and flocculate to settle the pollutants. This study aimed to investigate the effect of food to microorganism (F/M) ratio and iron in a biological process using aerobic treatment. For this purpose, four aerobic tanks (A, B, C, D) were set up using activated sludge as the seed sludge, air pump as air diffuser to provide oxygen to the system, and three litres of synthetic medium as carbon source for each tank. A specific amount of iron (II) sulfate was added into tanks B, C, and D with the weight of 3 g, 6 g, and 9 g, respectively. Tank A act as a control, and no iron dosage was added. The F/M ratio for tanks A, B, C, and D were 0.8, 0.5, 0.4, and 0.3 mg BOD/mg MLVSS, respectively. The aerobic tanks were operated for 40 days in sequential batch mode and sampling was collected four times per week to observe the COD and MLVSS. This study has found that Tank D shows the best performance compared to all tanks with 84.71% COD removal efficiency and a fivefold increment of microorganism growth rate. These findings suggest that a relationship exists between the iron and F/M ratio to enhance the aerobic treatment process.

Publication

Design of High-Quality Factor Active Indictor Using CMOS 0.18-μm Technology for 5G Applications

( 2022-01-01)

Ali H.A.A.A.

;

Sohiful Anuar Zainol Murad

;

Hasan A.F.

;

Faizah Abu Bakar

;

Sapawi R.

This paper presents high quality factor of active inductor circuit for 5G application. The proposed circuit is based on the differential active inductor (DAI) topology. The DAI is designed using CMOS 0.18 μm technology. The quality factor (Q) can be tuned with the current source values, ranging from 0.5 mA to 3 mA, while the voltage can control the inductance values L. Meanwhile, the frequency range can be controlled with the feedback resistance. The simulation results indicate that the Q factor as large as 262.5k can be achieved with inductor values of 10 nH at frequency 3.2 GHz. In addition, the Q factor of 1650 is obtained at 3.5 GHz. The performance comparison with previously published works is also demonstrated and found that the proposed DAI is suitable for 5G application.

Publications 2022

Permanent URI for this collection

Browse

Browse

Browsing Publications 2022 by Issue Date

Results Per Page

Sort Options