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      • Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments

        Halim Lee,Ali A. Abdallah,Jongmin Park,Jiwon Seo,Zaher M. Kassas 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10

        A neural network (NN)-based approach for indoor localization via cellular long-term evolution (LTE) signals is proposed. The approach estimates, from the channel impulse response (CIR), the range between an LTE eNodeB and a receiver. A software-defined radio (SDR) extracts the CIR, which is fed to a long short-term memory model (LSTM) recurrent neural network (RNN) to estimate the range. Experimental results are presented comparing the proposed approach against a baseline RNN without LSTM. The results show a receiver navigating for 100 m in an indoor environment, while receiving signals from one LTE eNodeB. The ranging root-mean squared error (RMSE) and ranging maximum error along the receiver’s trajectory were reduced from 13.11 m and 55.68 m, respectively, in the baseline RNN to 9.02 m and 27.40 m, respectively, with the proposed RNN-LSTM.

      • A magnetic-spring-based, low-frequency-vibration energy harvester comprising a dual Halbach array

        Salauddin, M,Halim, M A,Park, J Y IOP 2016 Smart materials & structures Vol.25 No.9

        <P>Energy harvesting that uses low-frequency vibrations is attractive due to the availability of such vibrations throughout the ambient environment. Significant power generation at low-frequency vibrations, however, is challenging because the power flow decreases as the frequency decreases; moreover, designing a spring-mass system that is suitable for low-frequency-vibration energy harvesting is difficult. In this work, our proposed device overcomes both of these challenges by using a dual Halbach array and magnetic springs. Each Halbach array concentrates the magnetic-flux lines on one side of the array while suppressing the flux lines on the other side; therefore, a dual Halbach array allows for an interaction between the concentrated magnetic-flux lines and the same coil so that the maximum flux linkage occurs. During the experiment, vibration was applied in a horizontal direction to reduce the gravity effect on the Halbach-array structure. To achieve an increased power generation at low-amplitude and low-frequency vibrations, the magnetic structure of the dual Halbach array and the magnetic springs were optimized in terms of the operating frequency and the power density; subsequently, a prototype was fabricated and tested. The prototype device offers a normalized power density of 133.45 <I>μ</I>W cm<SUP>−3</SUP> g<SUP>−2</SUP> that is much higher than those of recently reported electromagnetic energy harvesters; furthermore, it is capable of delivering a maximum average power of 1093 <I>μ</I>W to a 44 Ω optimum load, at an 11 Hz resonant frequency and under a 0.5 g acceleration.</P>

      • Selecting Tanker Steaming Speeds under Uncertainty: A Rule-Based Bayesian Reasoning Approach

        N.S.F. ABDUL RAHMAN,R.MD. HANAFLAH,A.F. AHMAD NAJIB,W.M.Z. ABDUL HALIM 국제이네비해양경제학회 2015 International Journal of e-Navigation and Maritime Vol.2 No.1

        In the tanker industry, there are a lot of uncertain conditions that tanker companies have to deal with.For example, the global financial crisis and economic recession, the increase of bunker fuel prices and global climate change. Such conditions have forced tanker companies to change tankers speed from full speed to slow speed, extra slow speed and super slow speed. Due to such conditions, the objective of this paper is to present a methodology for determining vessel speeds of tankers that minimize the cost of the vessels under such conditions. The four levels of vessel speed in the tanker industry will be investigated and will incorporate a number of uncertain conditions. This will be done by developing a scientific model using a rule-based Bayesian reasoning method. The proposed model has produced 96 rules that can be used as guidance in the decision making process. Such results help tanker companies to determine the appropriate vessel speed to be used in a dynamic operational environmental.

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        A Novel Technique for Improving the Performance of Ammonia Absorption Refrigeration Cycle

        Hemeda Shaker M.,Abd-Elhady M. S.,Halim M. A. 대한설비공학회 2021 International Journal Of Air-Conditioning and Refr Vol.29 No.1

        The world is now living in an energy crisis. Refrigeration and air-conditioning systems have become the basics of daily life in various fields and accordingly, it cannot be dispensed. Refrigeration machines and air-conditioning systems are the most energy-consuming systems, independent on the application whether it is domestic, commercial, industrial or medical. Therefore, using cooling systems which are powered by thermal energy, e.g., solar energy, can save a lot of electrical energy. Absorption refrigeration system is an example of a refrigeration system powered by heat energy. However, the system problem here is that it has low coefficient of performance (COP). The objective of this research is to improve the COP of the ammonia absorption cycle. This is done in the absorber unit by improving the absorption of the refrigerant ammonia into the ammonia–water solution. The absorption efficiency is improved by using (1) a stirrer pump to improve mixing, (2) sprayers to increase the contact area between ammonia and ammonia–water solution and (3) continuous cooling of the solution during the absorption process via an external heat exchanger. The COP of the ammonia absorption cycle has increased from 0.48 to 0.715, i.e., by 49%. This is due to the improvement of the absorption of the ammonia into the ammonia–water solution.

      • KCI등재후보
      • KCI등재

        Increasing the Cooling Rate of the Vapor Compression Cycle by Heating

        M. S. Abd-Elhady,E. Bishara,M. A. Halim 대한설비공학회 2021 International Journal Of Air-Conditioning and Refr Vol.29 No.1

        Refrigeration and air conditioning cycles consume a large amount of electrical energy and the shortage in traditional sources of energy is the main reasons for governments to use renewable energy. The most power consuming part in the Vapor Compression Cycle (VCC) is the gas compressor. Therefore, the objective of this research is to increase the cooling rate of the VCC using the same compressor, and that is done by heating the refrigerant coming out from the compressor. The proposed cycle is similar to the VCC except that the compression processes is done in two stages, the first stage via a gas compressor and in the second stage by heating the refrigerant under constant volume. The heating process can be done using solar energy. An experimental setup has been developed to study the influence of heating the refrigerant on the cooling rate of the VCC. The heating process is performed after the compressor, and it is done under constant volume in order to increase the pressure of the refrigerant. Four experiments have been performed; the first experiment is a normal VCC, i.e., without heating, while in the second, third and fourth experiments, the refrigerant has been heated to 50°C, 100°C and 150°C, respectively. It has been found that the cooling power increases with the heating temperature. Heating increases the pressure of the refrigerant in VCC, and consequently increases the mass flow rate of the refrigerant that results in an increase in the refrigeration power for the same compressor power. However, the disadvantage of heating the refrigerant is that it increases the evaporator temperature, which limits the possibility of the VCC to be used in freezing applications.

      • KCI등재

        Quality Driven Approach for Product Line Architecture Customization in Patient Navigation Program Software Product Line

        ( Afifah M. Ashari ),( Shahliza Abd Halim ),( Dayang N. A. Jawawi ),( Ushananthiny Suvelayutnan ),( Mohd Adham Isa ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

        Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient’s treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach’s applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.

      • KCI등재

        Molecular identification and first documentation of seven species of Carpophilus Stephens (Nitidulidae: Carpophilinae) in oil palm ecosystem, Peninsular Malaysia

        Nor Atikah A.R.,Halim M.,Syarifah Zulaikha S.A.,Yaakop S. 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.2

        Sap beetles are commonly found in many agricultural systems worldwide. In Malaysia, sap beetles are less documented despite their abundance in oil palm plantations. The similarities in the morphology of the sap beetle makes the identification process difficult from the same genus. This study aims to determine of composition of the sap beetle species from the genus Carpophilus, to identify the species of sap beetles and to document the DNA barcode for those species collected from the oil palm plantation, which has never been done before. DNA of seven species of sap beetles within the subfamily Carpophilinae have been successfully amplified using cytochrome oxidase subunit I marker (COI) namely C. hemipterus (Linnaeus), C. maculatus Murray, C. mutilatus Erichson, C. marginellus Motschulsky, C. sp. 1, C. nepos Murray and C. obsoletus Erichson represented 21, 12, 33, 8, 9, 6 and 11%, respectively from the total number collected. The sequences were analysed and a tree was constructed based on Neighbor-Joining (NJ) analysis with Meligethes thalassophilus chosen as an outgroup. All of the samples showed 90–100% similarities in BOLD and BLAST analyses. NJ trees constructed show that each sap beetle species collected from the study site located at their specific lineages on the tree. Interestingly, the DNA barcoding described in this study is the first to document barcoding data of sap beetles genus Carpophilus in Malaysia and this can be a helpful tool in updating the taxonomic and molecular status of the sap beetles in Malaysia.

      • An Ingenious Multiple Communicator Concept for Next Generation Smart Metering Communication System

        Wahidah Hashim,Ahmad Fadzil Ismail,Rajina M. A. Raj Mohamed,Mohammad Kamrul Hasan,Muhammad Idham Abdul Halim,Kavitha Kumanan 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7

        In this article, we propose and study a self-switching network concept known as an ingenious multiple communicator mechanism which can be applied to energy provider’s smart metering device. We outline reasons why such multiple connections networks are required through real case study scenarios and key components that drive towards such concept. We have gathered actual measurement values for a particular network and identified in what situation this is most suitable and applicable. We have come out with the basic system model for this multiple communicator. We also observed that a less fluctuating and similar pattern of network performance helps to design better network predictive analytics function. Finally numerical examples and analysis of the results are presented.

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