Using e-learning to engage unemployed rural women in aquaculture in Bangladesh to reduce poverty
- Authors: Rupok, Quazi , Chowdhury, Abdullahi
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018; Madrid, Spain; 1st-2nd October 2018; published in ACM International Conference Proceeding Series p. 1-6
- Full Text: false
- Reviewed:
- Description: Even though half of the population of Bangladesh is women, most of them are not working as paid employee or working as business owner. The main reason is that most of them are in rural area and unable to get proper education. This paper aims to develop a model that can assist different government organizations to assist those unemployed rural women to get involved in fisheries industries. This will help them to get proper information to get some income from whatever resources they have nearby for generate income from aquaculture.
- Description: ACM International Conference Proceeding Series
A hybrid data dependent dissimilarity measure for image retrieval
- Authors: Shojanazeri, Hamid , Teng, Shyh , Zhang, Dengsheng , Lu, Guojun
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing - Techniques and Applications (DICTA); Sydney, Australia; 29th November-1st December 2017 p. 141-148
- Full Text: false
- Reviewed:
- Description: In image retrieval, an effective dissimilarity (or similarity) measure is required to retrieve the perceptually similar images. Minkowski-type distance is widely used for image retrieval, however it has its limitation. It focuses on distance between image features and ignores the data distribution of the image features, which can play an important role in measuring perceptual similarity of images. To address this limitation, a data dependent measure named m-p, which calculates the dissimilarity using the data distribution rather than geometric distance has been proposed recently. It considers two instances in a sparse region to be more similar than in a dense region. Relying only on data distribution and completely ignoring the geometric distance raise other limitations. This may result in finding two perceptually dissimilar instances similar due to being located in a sparse region or vice versa. We proposed a new hybrid dissimilarity measure and experimental results show that it addresses these limitations.
A lightweight integrity protection scheme for fast communications in smart grid
- Authors: Jolfaei, Alireza , Kant, Krishna
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 14th International Joint Conference on e-Business and Telecommunications, ICETE 2017; Madrid, Spain; 24th-26th July 2017 Vol. 4, p. 31-42
- Full Text: false
- Reviewed:
- Description: Due to the mission-critical nature of energy management, smart power grids are prime targets for cyber-attacks. A key security objective in the smart grid is to protect the integrity of synchronized real-time measurements taken by phasor measurement units (PMUs). The current communication protocol in substation automation allows the transmission of PMU data in absence of integrity protection for applications that strictly require low communication latency. This leaves the PMU data vulnerable to man-in-the-middle attacks. In this paper, a lightweight and secure integrity protection algorithm has been proposed to maintain the integrity of PMU data, which fills the missing integrity protection in the IEC 61850-90-5 standard, when the MAC identifier is declared 0. The rigorous security analysis proves the security of the proposed integrity protection method against ciphertext-only attacks and known/chosen plaintext attacks. A comparison with existing integrity protection methods shows that our method is much faster, and is also the only integrity protection scheme that meets the strict timing requirement. Not only the proposed method can be used in power protection applications, but it also can be used in emerging anomaly detection scenarios, where a fast integrity check coupled with low latency communications is used for multiple rounds of message exchanges.
A novel generalized concept for three phase cascaded multilevel inverter topologies
- Authors: Hasan,Md Mubashwar , Abu-Siada, Ahmed , Islam, Syed , Muyeen, S
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 9th Annual IEEE Green Technologies Conference (GreenTech 2017); Denver, CO; 29th-21st March, 2017 p. 110-117
- Full Text: false
- Reviewed:
- Description: Many new cascaded multilevel inverter (MLI) topologies have recently been proposed and published in the literature. All proposed topologies demand significant amount of semiconductor components and input dc supplies, which is considered the main drawback for the implementation of three phase cascaded MLIs. This paper proposes a new generalized concept that could be employed within any existing cascaded MLI topology in order to reduce its size in terms of device count including semiconductor switches, diodes, and dc power supplies. The new generalized concept involves two stages namely, cascaded stage (CS) and phase generator stage (PGS). The PGS stage is a combination of conventional three phase two level inverter (CTPTLI) and three bidirectional (BD) switches, while the cascaded stage can be modified using any existing cascaded topology. The proposed concept is validated through extensive simulation and experimental analyses. Results show the capability of the proposed technique in reducing device count of the existing topologies while maintaining its performance.
A novel quality metric using spatiotemporal correlational data of human eye maneuver
- Authors: Podder, Pallab , Paul, Manoranjan , Murshed, Manzur
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing : Techniques and Applications, DICTA 2017; Sydney, Australia; 29th November-1st December 2017 Vol. 2017-December, p. 1-8
- Full Text:
- Reviewed:
- Description: The popularly used subjective estimator- mean opinion score (MOS) is often biased by the testing environment, viewers mode, domain expertise, and many other factors that may actively influence on actual assessment. We therefore, devise a no- reference subjective quality assessment metric by exploiting the nature of human eye browsing on videos. The participants' eye-tracker recorded gaze-data indicate more concentrated eye- traversing approach for relatively better quality. We calculate the Length, Angle, Pupil-size, and Gaze-duration features from the recorded gaze trajectory. The content and resolution invariant operation is carried out prior to synthesizing them using an adaptive weighted function to develop a new quality metric using eye traversal (QMET). Tested results reveal that the quality evaluation carried out by QMET demonstrates a strong correlation with the most widely used peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the MOS.
- Description: DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications
A rule based inference model to establish strategy-process relationship
- Authors: Dinh, Loan , Karmakar, Gour , Kamruzzaman, Joarder , Stranieri, Andrew
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 30th International Business Information Management Association Conference - Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth, IBIMA 2017; Madrid, Spain; 8th-9th November 2017 Vol. 2017-January, p. 4544-4556
- Full Text: false
- Reviewed:
- Description: An effective relationship between business processes and their relevant strategies helps enterprises achieve their goals. As a business organisation changes quickly, business processes implement their relevant business operations for efficiency. It is important to know which business process achieves which business strategies dynamically. To the best of our knowledge, there exists a framework which aims to automatically determine the strategy-process relationship (Morrison et al. 2011). However, this framework can only work when the effect of the business process is known, but it is difficult to determine such effect accurately. Moreover, by optimising business processes to satisfy business strategies, higher efficiency may be achieved but there is a high chance of losing discriminative information. It therefore creates certain level of uncertainty in achieving accurate strategy-process relationship. To reduce this uncertainty and determine the relationship accurately between business processes and their relevant strategies as defined by business domain experts, in this paper, we introduce a rule-based inference model. This model not only helps business organisations realize which business processes need to be involved for the organisation to achieve their goals when strategies are made, but also reduces the possibility of losing important details from business process optimisation. We have developed a business case to validate our proposed model and the results show that our model can infer the relation accurately for each rule defined for the related business case.
A solution to the inverse pulsed eddy current problem enabling 3D profiling
- Authors: Ulapane, Nalika , Nguyen, Linh , Miro, Jaime Valls , Dissanayake, Gamini
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA); Wuhan, China; 31 May 2018 - 02 June 2018 p. 1267-1272
- Full Text: false
- Reviewed:
- Description: When a Pulsed Eddy Current (PEC) sensor assesses a metallic surface (i.e., a wall of finite thickness), the inverse problem involves quantification of the geometry and material properties of the wall. Once a PEC sensor is calibrated for a particular material, and the material under test happens to be considerably homogeneous, the inverse problem reduces to quantification of geometry alone. The state-of-the-art in the industry produces a quantification of this geometry only in the form of average wall thickness remaining underneath the sensor footprint, and produces a 2.5D map containing wall thickness information. Therefore, this paper contributes by proposing a solution that can jointly estimate the remaining wall thickness as well as lift-off (i.e., offset from the sensor to the surface of healthy material), in order to advance PEC sensing outputs by enabling estimation of wall condition in 3D. Since PEC maps are used as inputs for stress calculation and remaining life prediction of certain infrastructure like critical pipes, 3D profiles may become a richer form of input for such applications than 2.5D maps. Since PEC sensing is commonly used to assess ferromagnetic materials, this paper focuses on similar materials as well. The solution is demonstrated in simulation alone and future work should focus on experimental implementations.
A three-phase half-bridge cascaded inverter with reduced number of input DC supply
- Authors: Hasan, Mubashwar , Abu-Siada, Ahmed , Islam, Syed , Muyeen, S.
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 Australasian Universities Power Engineering Conference, AUPEC 2017; Melbourne, Australia; 19th-22nd November 2017 Vol. 2017, p. 1-7
- Full Text: false
- Reviewed:
- Description: Cascaded multilevel inverters (MLI) have recently received much attention due to its ability to perform well in various high voltage and high power applications with high efficiency. Cascaded inverters are able to generate high voltage output by utilizing a number of low voltage DC supplies and switches of low blocking voltage rating, which make cascaded MLI a cost effective choice for high voltage/power applications. The main drawback of cascaded MLI is the requirement of large number of isolated DC sources particularly, for three phase applications where the number of required input DC sources is three times that of single phase structure. In addition to the extra cost it will incur, the use of large number of DC supplies within the inverter will significantly increase its physical size, and complicate the management of such large number of DC sources. This paper presents a new topology for three phase MLI with a minimum number of input DC supplies. Symmetric and asymmetric input DC supply modes are developed for the proposed topology. Simulation and experimental results are provided to assess the performance of the proposed MLI topology.
An Agile group aware process beyond CRISP-DM: A hospital data mining case study
- Authors: Sharma, Vishakha , Stranieri, Andrew , Ugon, Julien , Martin, Laura
- Date: 2017
- Type: Text , Conference proceedings
- Relation: ICCDA '17: Proceedings of the International Conference on Computer and Data Analysis May 2017 p. 109-113
- Full Text: false
- Reviewed:
- Description: The CRISP-DM methodology is commonly used in data analytics exercises within an organisation to provide system and structure to data mining processes. However, in providing a rigorous framework, CRISP-DM overlooks two facets of data analytics in organisational contexts; data mining exercises are far more agile and subject to change than presumed in CRISP-DM and central decisions regarding the interpretation of patterns discovered and the direction of analytics exercises are typically not made by individuals but by committees or groups within an organisation. The current study provides a case study of data mining in a hospital setting and suggests how the agile nature of an analytics exercise and the group reasoning inherent in key decisions can be accommodated within a CRISP-DM methodology.
An experimental thermographic safety audit focusing on temperature rise vs load in electrical installations in a Bangladesh garments factory
- Authors: Islam, Syed , Huque, Mozammel , Khan, Liakot , Hossain, Imran
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 4th International Conference on Advances in Electrical Engineering, ICAEE 2017; Dhaka, Bangladesh; 28th-30th September 2017 Vol. 2018, p. 561-564
- Full Text: false
- Reviewed:
- Description: Thermographic scanning of electrical installations is sometimes conducted as part of electrical safety audits. This scanning is mostly considered based on the present temperature identified on a particular device or location and according to a pre-specified temperature category. But in most of the cases the recommended temperature of the particular devices cannot be considered during temperature categorization. There are many electrical audits using Thermographic scanning and recommend solution based on normal category of temperature rather than manufacturer's suggestion or specified standard for particular electrical device. Now a days, thermographic scanning is being used in Readymade Garments (RMG) industries in Bangladesh in such simple way where details analysis are not in practice and hence exact recommendation is absent in reports. The importance of this topic is focused on the 4.2 million people working in more than 5,000 factories in Bangladesh, where 80% of the fire incident are caused by inappropriate electrical installation or short circuits (as per Fire Service and Civil Defense statistics of Bangladesh). Recently many violent industrial accidents caused death of more than 1,500 people in the last 3 years. Among these, majority of the incidents were due to unsafe electrical system and inappropriate maintenance. The paper will further explore the importance of thermal scanning on electrical devices and compare the temperature considering manufacturer's recommendation for identifying system errors. The paper is written based on previously published recommendations and based on conducting an experimental sample audit aimed to develop a thermography based auditing standard. Based on the statistical and systematic analysis of the obtained data (e.g. temperature values, visual abnormalities, comparative differences) the paper will further discuss the possible area(s) that can be improved by introducing the thermal reports for the safety audits. This paper is aimed to develop an auditing structure proposed to implement identified areas within a standard electrical safety audit process.
An Observation of research complexity in top universities based on research publications
- Authors: Lee, Ivan , Xia, Feng , Roos, Goran
- Date: 2017
- Type: Text , Conference proceedings
- Relation: WWW '17 Companion; Perth, Australia; 3-7 April, 2017 ; Published in Proceedings of the 26th International Conference on World Wide Web Companion April 2017 p. 1259-1265
- Full Text: false
- Reviewed:
- Description: This paper investigates research specialisation of top ranked universities around the world. The revealed comparative advantage in different research fields are determined according to the number of research articles published. Subsequently, measures of research ubiquity and diversity, and research complexity index of each university, are obtained and discussed. The study is conducted on top-ranked universities according to Shanghai Jiao Tong Academic Ranking of World Universities, with bibliographical details extracted Microsoft Academic Graph data set and research fields of journals labelled with SCImago Journal Classification. Diversity-ubiquity distributions, relevance of RCI and university ranks, and geographical RCI distributions are examined in this paper.
Application of S transform for detection of external interferences in online transformer impulse frequency response analysis
- Authors: Mohseni, Bahar , Hashemnia, Naser , Islam, Syed
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017; Milan, Italy; 6th-9th June 2017 p. 1-4
- Full Text: false
- Reviewed:
- Description: Online impulse frequency response analysis is a recently-developed diagnostic method for in service transformer with a promising outlook. This paper aims to detect the impact of external interferences including pulse shaped interferences from switching operations and other phenomena in the power system on the frequency response of the transformer. For modeling the transformer for online IFRA, a simulation approach based on finite element analysis (FEA) and circuit analysis is used. In this approach, instead of using a linear model with static parameters, 3D finite element model of the transformer is calculated in Maxwell Software and then exported into an external Maxwell Spice circuit which allows for study the terminal behaviors of the transformer. A modified S transform is then applied to the recorded input and output signals in healthy and faulty conditions to construct the electrical impedance as well as the time-frequency contours of the transient responses.
Atrial fibrillation analysis for real time patient monitoring
- Authors: Allami, Ragheed , Stranieri, Andrew , Marzbanrad, Faezeh , Balasubramanian, Venki , Jelinek, Herbert
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 44th Computing in Cardiology Conference, CinC 2017 Vol. 44, p. 1-4
- Full Text: false
- Reviewed:
- Description: Atrial Fibrillation (AF) can lead to life-threatening conditions such as stroke and heart failure. The instant recognition of life-threatening cardiac arrhythmias based on a 3-lead ECG to record a Lead II configuration for a few seconds is a challenging problem of clinical significance. Five consecutive ECG beats that were identified by a cardiologist to characterise an AF episode and five consecutive heartbeat intervals representing an irregular RR intervals episode were analysed. The detection and analysis of P waves as the morphological features of AF was executed based on two template matching methods. An AF detector was developed by combining the correlation coefficients based on the template matching methods and the standard deviation of the RR intervals. The AF detector was then applied to classify 5 consecutive beats as AF or non-AF based on thresholding the calculated irregularity. The proposed algorithm was tested on the MIT-BIH Atrial Fibrillation and the Challenge 2017 databases. The proposed method resulted in an improved sensitivity, specificity and accuracy of 97.60%, 98.20% and 99% respectively compared to recent published methods. In addition, the proposed method is suitable for real-time patient monitoring as it is computationally simple and requires only a few seconds of ECG recording to detect an AF rhythm. © 2017 IEEE Computer Society. All rights reserved.
Batch clustering algorithm for big data sets
- Authors: Alguliyev, Rasim , Aliguliyev, Ramiz , Bagirov, Adil , Karimov, Rafael
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016; Baku, Azerbaijan; 12th-14th October 2016 p. 1-4
- Full Text: false
- Reviewed:
- Description: Vast spread of computing technologies has led to abundance of large data sets. Today tech companies like, Google, Facebook, Twitter and Amazon handle big data sets and log terabytes, if not petabytes, of data per day. Thus, there is a need to find similarities and define groupings among the elements of these big data sets. One of the ways to find these similarities is data clustering. Currently, there exist several data clustering algorithms which differ by their application area and efficiency. Increase in computational power and algorithmic improvements have reduced the time for clustering of big data sets. But it usually happens that big data sets can't be processed whole due to hardware and computational restrictions. In this paper, the classic k-means clustering algorithm is compared to the proposed batch clustering (BC) algorithm for the required computation time and objective function. The BC algorithm is designed to cluster large data sets in batches but maintain the efficiency and quality. Several experiments confirm that batch clustering algorithm for big data sets is more efficient in using computational power, data storage and results in better clustering compared to k-means algorithm. The experiments are conducted with the data set of 2 (two) million two-dimensional data points. © 2016 IEEE.
Battery impedance measurement using sinusoidal ripple current emulator
- Authors: Hossain, Kamal , Islam, Syed , Park, Sung-Yeul
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017; Cincinnati, United States; 1st-5th October 2017 Vol. 2017, p. 2754-2759
- Full Text: false
- Reviewed:
- Description: This paper presents a sinusoidal ripple current (SRC) emulator which superimposes an ac ripple current frequency into a dc charging current in order to produce a sinusoidal ripple current without a ripple current controller. It can be used for several purposes:1) to analyze the impact of ac ripple current magnitude and frequency on the battery internal characteristics; 2) to determine the parameters related to thermal rise and lithium plating; 3) to obtain more updated parameter information for improved utilization of a battery; 4) to determine the optimal ripple current frequency at the minimum impedance point by sweeping the ripple current frequency; 5) to utilize the obtained impedance data for estimating the battery circuit parameters and SOC level. The internal characteristics of batteries are complex and dynamic; therefore, it is beneficial to use the SRC emulator to validate SRC performance in a battery stack before integrating a SRC algorithm into a battery charger. This paper describes the development procedure of a SRC emulator to produce the electrochemical impedance spectroscopy (EIS) measurement for measuring the battery internal impedance. In order to validate the performance of the SRC emulator, a 12.8 V, 40 Ah Li-ion battery was charged at C/8 rate in CC mode with ± 1 App ac ripple current perturbation with an impedance from 20 Hz to 2 kHz.
Career direction or re-direction – The impact of work-integrated learning on exercise & sports science students
- Authors: Hall, Melinda , Pascoe, Deborah , Charity, Megan
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 20th World Council and Assembly on Cooperative Education (WACE) Work Conference; Chiang Mai, Thailand; 5th-8th June, 2017
- Full Text: false
- Reviewed:
- Description: Exercise and sports science (E&SS) is an umbrella term that encompasses a range of career outcomes including; strength and conditioning, health promotion and exercise rehabilitation. Universities delivering E&SS programs provide work-integrated learning (WIL) opportunities to enable students to integrate theoretical knowledge into the workplace and assist students to make decisions about their future careers. Research in other disciplines indicates influential relationships exist between WIL and career choice. The aim of this study was to determine the influence of WIL experiences on the future career choice of E&SS students and to identify the reasons students would or would not remain at the WIL agency for future employment. An online survey was distributed to final year E&SS students at Federation University Australia who were completing their 80-hour WIL placement. The survey explored WIL experiences and the impact on career aspirations (n=20). Chi-squared analysis showed positive WIL experiences significantly influenced a student to pursue a career in the same field (p=0.049) with WIL agencies playing a leading role in providing an inspiring and supportive atmosphere. However, negative experiences did not discourage students from choosing a career in the same field (p=0.093). Reasons for not pursuing employment within the field were lack of interest in the work and lack of full-time employment. These findings suggest that E&SS students should not be deterred when experiencing a negative WIL placement. Rather, students should use all WIL experiences to assist with decisions on subject choice, future WIL placements and, more importantly, future career options.
Cuboid segmentation for effective image retrieval
- Authors: Murshed, Manzur , Teng, Shyh , Lu, Guojun
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing : Techniques and Applications (DICTA); Sydney, Australia; 29th November-1st December 2017 p. 884-891
- Full Text: false
- Reviewed:
- Description: Region-based image retrieval has been proven to be effective in finding relevant images. In this paper, we propose a cuboid im-age segmentation method which results in rectangle image partitions. Rectangle partitions are more suitable for image compression, retrieval and other image operations. We apply partitions in image retrieval in this paper. Our experimental results have shown that (1) the proposed partitioning method is effective in segmenting images into meaningful rectangles; (2) using colour partitions for image retrieval is more effective than using whole images; and (3) the partitioned approach has additional advantage of letting users to select certain objects/colours as queries to find more relevant images/objects. These three advantages could be important in crime scene investigation image indexing and retrieval. Moreover, the proposed technique is amenable to compressed-domain applications.
Cyber attacks in mechatronics systems based on Internet of Things
- Authors: Chowdhury, Abdullahi
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Mechatronics, ICM 2017; Gippsland, Victoria; 13th-15th February 2017 p. 476-481
- Full Text: false
- Reviewed:
- Description: Internet of things (IoT) systems are becoming multidisciplinary day by day and integrating more and more mechanical, electrical, electronics, control and information disciplines. This integration is making mechatronics systems based on IoT easily available for public uses. Government organisations, different industries, healthcare systems and individual users are using these systems to store different kind of public, private, confidential and classified information. This is attracting cyber attackers to make cyber and cyber physical attacks to these systems. Currently, security policy researchers of both industries and academic institutes are analysing existing cyber attacks and are developing different types of techniques to protect the systems against potential cyber-threats and cyber attacks. This paper analyses the increasing exploitation of IoT based mechatronics system, which has created more opportunities for the current cybercrimes. Contemporary and important mitigation approaches for cyber-crimes have also been articulated in this paper. © 2017 IEEE.
- Description: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
Design boundaries of large-scale falling particle receivers
- Authors: Kim, Jin-Soo , Kumar, Apurv , Corsi, Clotilde
- Date: 2017
- Type: Text , Conference proceedings
- Relation: Proceedings of the 22nd SolarPACES 2016 International Conference
- Full Text: false
- Reviewed:
- Description: A free falling particle receiver has been studied to investigate the design boundary of large-scale falling particle receivers. Preliminary receiver geometry and condition of falling particle curtain were scoped according to the nominal receiver capacity (135 MWth), receiver outlet temperature (800 °C) and temperature difference (147 °C) recommended by the research program. Particle volume fraction and solar energy absorptivity were analyzed for two particle sizes (280 µm and 697 µm)
Design of a lock-in amplifier integrated with a coil system for eddy-current non-destructive inspection
- Authors: Munoz, Fredy , Miro, Jaime Valls , Dissanayake, Gamini , Ulapane, Nalika , Nguyen, Linh
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 1948-1953
- Full Text: false
- Reviewed:
- Description: Eddy-current non-destructive inspections of conductive components are of great interest in several industries including civil infrastructure and the mining industry. In this work, we have used a driver-pickup coil system as the probe to carry out inspection of ferromagnetic plates. The specific geometric configuration of the probe generates weak electric signals that are buried in a noisy environment. In order to detect these weak signals, we have designed and implemented a lock-in amplifier as part of the signal processing technique to increase the signal-to-noise ratio and also improve the sensitivity of the probe. We have used Comsol as a finite element method (FEM) to design the probe and conducted experiments with the probe and the lock-in amplifier. The experimental results, which are in agreement with the FEM results, indicate that the designed probe along with a lock-in amplifier can potentially be used to estimate the thickness of thin plates.