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      • KCI등재

        Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests

        Shahriar Kaisar,Abdullahi Chowdhury 한국통신학회 2022 ICT Express Vol.8 No.4

        Developmental Dyslexia is a learning disorder often discovered in school-aged children who face difficulties while reading or spelling words even though they may have average or above-average levels of intelligence. This ultimately results in anger, frustration, low self-esteem, and other negative feelings. Early detection of Dyslexia can be highly beneficial for dyslexic children as their learning needs can be properly addressed. Researchers have used several testing techniques for early discovery where the data is collected from reading and writing tests, online games, Magnetic reasoning imaging (MRI) and Electroencephalography (EEG) scans, picture and video recording. Several Machine learning techniques have also been used in this regard recently. However, existing works did not focus on the problem of the imbalanced dataset where the percentage of dyslexic participants is much higher compared to non-dyslexic participants, which is expected to be the case for pre-screening among a random population. This paper addresses the imbalanced dataset obtained from dyslexia pre-screening tests and proposes an oversampling and ensemble-based machine learning technique for the detection of Dyslexia. Simulation results show that the proposed approach improves the detection accuracy of the minority class, i.e., dyslexic patients from 80.61% to 83.52%.

      • KCI등재

        Optimal 3D UAV Base Station Placement by Considering Autonomous Coverage Hole Detection, Wireless Backhaul and User Demand

        Shahriar Abdullah Al-Ahmed,Muhammad Zeeshan Shakir,Syed Ali Raza Zaidi 한국통신학회 2020 Journal of communications and networks Vol.22 No.6

        The rising number of technological advanced devicesmaking network coverage planning very challenging tasks for network operators. The transmission quality between the transmitterand the end users has to be optimum for the best performance outof any device. Besides, the presence of coverage hole is also an ongoing issue for operators which cannot be ignored throughout thewhole operational stage. Any coverage hole in network operators’coverage region will hamper the communication applications anddegrade the reputation of the operator’s services. Presently, thereare techniques to detect coverage holes such as drive test or minimization of drive test. However, these approaches have many limitations. The extreme costs, outdated information about the radioenvironment and high time consumption do not allow to meet therequirement competently. To overcome these problems, we take advantage of Unmanned aerial vehicle (UAV) and Q-learning to autonomously detect coverage hole in a given area and then deployUAV based base station (UAV-BS) by considering wireless backhaul with the core network and users demand. This machine learning mechanism will help the UAV to eliminate human-in-the-loop(HiTL) model. Later, we formulate an optimisation problem for3D UAV-BS placement at various angular positions to maximisethe number of users associated with the UAV-BS. In summary, wehave illustrated a cost-effective as well as time saving approach ofdetecting coverage hole and providing on-demand coverage in thisarticle.

      • KCI등재

        Design of a Power Factor Measurement System for Nonlinear Load

        Shahriar, Md. Rifat,Chong, Ui-Pil The Korean Institute of IIIuminating and Electrica 2011 조명·전기설비학회논문지 Vol.25 No.11

        This paper introduces and develops an efficient method for measuring power factor (PF) and its nature under nonlinear load current situations. The method is based on generating a pulse width modulated signal whose width correlates to the value of PF. This signal can then be employed as a feedback signal for controlling PF related power quantities in a system. This method has the advantages of its simple implementation, less computational complexity, and its allowable error of less than 4[%], which is justified by the computer simulation results.

      • KCI등재

        Developmental dyslexia detection using machine learning techniques : A survey

        Shahriar Kaisar 한국통신학회 2020 ICT Express Vol.6 No.3

        Developmental dyslexia is a learning disability that occurs mostly in children during their early childhood. Dyslexic children face difficulties while reading, spelling and writing words despite having average or above-average intelligence. As a consequence, dyslexic children often suffer from negative feelings, such as low self-esteem, frustration, and anger. Therefore, early detection of dyslexia is very important to support dyslexic children right from the start. Researchers have proposed a wide range of techniques to detect developmental dyslexia, which includes game-based techniques, reading and writing tests, facial image capture and analysis, eye tracking, Magnetic reasoning imaging (MRI) and Electroencephalography (EEG) scans. This survey paper critically analyzes recent contributions in detecting dyslexia using machine learning techniques and identify potential opportunities for future research.

      • Challenges of user Involvement in Extreme Programming projects

        Shahriar Mohammadi,Bahman Nikkhahan,Sahar Sohrabi 보안공학연구지원센터 2009 International Journal of Software Engineering and Vol.3 No.1

        Extreme programming (XP) is one of the most frequently used methodologies in Agile Software Development. According to various reports it had a significant effect on the software projects that use XP. In this paper, one of the main practices of XP, called "on-site customer" is considered, in detail. Also, various important challenges related to its implementation are considered. In each case, according to reports and researches related to user involvement, suitable solutions for resolving the problems are offered. At the end of each case, having an appropriate alternative that uses "Product Management Team" is proposed.

      • SCOPUS

        The Impact of COVID-19 on Bangladesh's Economy: A Focus on Graduate Employability

        SHAHRIAR, Mohammad Shibli,ISLAM, K.M. Anwarul,ZAYED, Nurul Mohammad,HASAN, K.B.M. Rajibul,RAISA, Tahsin Sharmila Korea Distribution Science Association 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.3

        The COVID-19 pandemic is having an adverse impact on Bangladesh's economy by affecting millions of people's life and hampering their income sources. The outbreak of COVID-19 has created more pressure on the labor market. The pandemic reduces employment opportunities as most of the companies have stopped their recruitment process to cut their operational costs, which increases the rate of graduate unemployment in Bangladesh. Hence, this study aims to investigate the impact of COVID-19 on graduate employability in Bangladesh that adversely affects the income of families and eventually the nation's economy. A literature review has been conducted from secondary sources to evaluate the impact, which shows that the rate of graduate unemployment increased from 47% to 58% in 2020 with an expected annual loss estimated at $53 million. Findings also reveal that the prime reasons for graduate employability are low demand and huge supply of graduates in the labor market, lack of professional skills of graduates, ineffective education system, etc. The study suggests that the government of Bangladesh should develop some policies to overcome this problem such as ensuring employment subsidies, implementing skills development programs, improving labor market flexibility, initiating credit programs for generating employment, and developing entrepreneurial ecosystems in Bangladesh.

      • KCI등재

        Synthesis and Characterization of Two New Fluoroplumbate(II) Complexes: Tetrabutylammonium Fluorodihaloplumbate, (But)4N[PbX2F] (X = Cl, I)

        Shahriare Ghammamy,Zahra Javanshir,Kheyrollah Mehrani,LotfAli Saghatforoush,Seyedabolfazl Seyedsadjadi,Ali Hassanijoshaghani 대한화학회 2008 Bulletin of the Korean Chemical Society Vol.29 No.8

        Tetrabutylammonium Fluorodichloroplumbate(II), N(C4H9)4[PbCl2F], TBAFDiCP and Tetrabutylammonium Fluorodiiodoplumbate(II), [(C4H9)4N][PbI2F], TBAFDiIP are the first examples of fluoroplumbate salts that have been prepared from the reaction of (C4H9)4NF with PbCl2 and PbI2 respectively using either CH3CN solvent. These new compound characterized by elemental analysis, IR, UV/Visible, 1H NMR, and 19F NMR techniques.

      • KCI등재

        Delay Tolerant Information Dissemination via Coded Cooperative Data Exchange

        Shahriar Etemadi Tajbakhsh,Parastoo Sadeghi 한국통신학회 2015 Journal of communications and networks Vol.17 No.2

        In this paper, we introduce a system and a set of algorithms for disseminating popular content to a large group of wireless clients spread over a wide area. This area is partitioned into multiple cells and there is a base station in each cell which is able to broadcast to the clients within its radio coverage. Dissemination of information in the proposed system is hybrid in nature: Each base station broadcasts a fraction of information in the form of random linear combinations of data blocks. Then the clients cooperate by exchanging packets to obtain their desired messages while they are moving arbitrarily over the area. In this paper, fundamental trade-offs between the average information delivery completion time at the clients and different parameters of the system such as bandwidth usage by the base stations, average energy consumption by the clients and the popularity of the spread information are studied. Moreover different heuristic algorithms are proposed to control and maintain a balance over these trade-offs. Also, the more complicated case of multiple sessions where each client is interested in an arbitrary subset of sessions is considered and two variants of the basic dissemination algorithm are proposed. The performance of all the proposed algorithms is evaluated via extensive numerical experiments.

      • KCI등재

        Parallel Integration and ASEAN-EU Trade Potential: an Empirical Analysis

        ( Shahriar Kabir ),( Ruhul A Salim ) 세종대학교 경제통합연구소(구 세종대학교 국제경제연구소) 2011 Journal of Economic Integration Vol.26 No.4

        This paper empirically assesses the integration of ASEAN with the European Union (EU) from an ASEAN-European Union trade model, and investigates their untapped trade potential. For the observation period of 1996 to 2008, the ASEANEU trade gap between the potential trade and the actual trade appears quite substantial. This study opens up the scope for future study on the ASEAN-EU regional integration.

      • Design of an ICT-based monitoring system of soil water content and irrigation control operation for orchards

        ( Shahriar Ahmed ),( Nasim Reza ),( Rejaul Karim ),( Kayoung Lee ),( Heetae Kim ),( Sun-ok Chung ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.1

        Insufficient or excessive water can impede root growth and lead to the leaching of minerals from the root zone, resulting in a nutritional deficiency. In addition, excessive water supply encourages crown and collar rot. Irrigation scheduling can be regulated based on soil water stress. A malfunctioning irrigation scheduling system can also compromise environmental control and inhibit crop growth, so it is crucial that components used in the system work accurately. The goal of this project was to create an automatic irrigation control system, based on real-time soil water content monitoring in orchard soil, and could be accessible remotely via the internet, while also detecting control failures. Experiments were conducted inside a greenhouse, in a 9-m2 soil bin. A Python program was coded to operate the irrigation pump and solenoid valves through a micro-controller utilizing water content information from sensors, as well as to transfer sensor data to a database system to observe the operation through the internet. The experiment showed that all sensor data could be collected and sent to the database system. The average water content values for the two channels were 18.3% and 16.6% during the irrigation period and 24.6% and 27.1% during the non-irrigation period, respectively. During the control operation, it was found that the first solenoid valve consumed 20.2 watts in average for “ON” state and 11.12 watts for “OFF” state. However, there was no significant change in power consumption of the second solenoid valve between the “ON” and “OFF” states. Therefore, the actuator used in the system showed a faulty condition, which can be corrected by further investigation.

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