Numerical analysis of reaction forces in blast resistant gates

Hasan Al-Rifaie,Wojciech Sumelka 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.63 No.3

Blast resistant gates are required to be lightweight and able to mitigate extreme loading effect. This may be achieved through innovative design of a gate and its supporting frame. The first is well covered in literature while the latter is often overlooked. The design of supporting frame depends mainly on the boundary conditions and corresponding reaction forces. The later states the novelty and the aim of this paper, namely, the analysis of reaction forces in supporting structure of rectangular steel gates subjected to “far-field explosions”. Flat steel plate was used as simplified gate structure, since the focus was on reaction forces rather than behaviour of gate itself. The analyses include both static and dynamic cases using analytical and numerical methods to emphasize the difference between both approaches, and provide some practical hints for engineers. The comprehensive study of reaction forces presented here, cover four different boundary conditions and three length to width ratios. Moreover, the effect of explosive charge and stand-off distance on reaction forces was also covered. The analyses presented can be used for a future design of a possible “blast absorbing supporting frame” which will increase the absorbing properties of the gate. This in return, may lead to lighter and more operational blast resistant gates.

Magnetic hyperthermia for removal of leukemia cells in circulatory system and thymus of mice

Hasan Al Faruque,Eun-Sook Choi,Jung-Hee Kim,Eunjoo Kim 한국자기학회 2018 한국자기학회 학술연구발표회 논문개요집 Vol.2018 No.11

THE HULL NUMBER OF POWERS OF CYCLES

Al-Ezeh, Hasan,Ghanem, Manal,Rwalah, Jameel Korean Mathematical Society 2017 대한수학회논문집 Vol.32 No.4

Let $C_n$ be the cycle graph of order n on the vertices $v_0,v_1,{\ldots},v_n$ and $C^k_n$ be the k-th power of $C_n$. In this article we determine the hull-number of $C^k_n$.

Numerical analysis of reaction forces in blast resistant gates

Al-Rifaie, Hasan,Sumelka, Wojciech Techno-Press 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.63 No.3

Blast resistant gates are required to be lightweight and able to mitigate extreme loading effect. This may be achieved through innovative design of a gate and its supporting frame. The first is well covered in literature while the latter is often overlooked. The design of supporting frame depends mainly on the boundary conditions and corresponding reaction forces. The later states the novelty and the aim of this paper, namely, the analysis of reaction forces in supporting structure of rectangular steel gates subjected to "far-field explosions". Flat steel plate was used as simplified gate structure, since the focus was on reaction forces rather than behaviour of gate itself. The analyses include both static and dynamic cases using analytical and numerical methods to emphasize the difference between both approaches, and provide some practical hints for engineers. The comprehensive study of reaction forces presented here, cover four different boundary conditions and three length to width ratios. Moreover, the effect of explosive charge and stand-off distance on reaction forces was also covered. The analyses presented can be used for a future design of a possible "blast absorbing supporting frame" which will increase the absorbing properties of the gate. This in return, may lead to lighter and more operational blast resistant gates.

Fault Detection of NPC Inverter Based on Ensemble Machine Learning Methods

Al-kaf Hasan Ali Gamal,Lee Jung-Won,Lee Kyo-Beum 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

Three-level neutral point clamped (NPC) inverters have been widely adopted in diferent appliances, but their growing use leads to increased susceptibility to faults in the system. It is therefore essential to design precise and efcient methods that can detect inverter faults to ensure optimal control and prevent serious damage to the system. However, the most accurate fault diagnosis methods often require signifcant amounts of time to collect input data such as current and voltage images, or they involve lengthy data rows that are not commonly applicable to real-time applications. To compensate for these drawbacks, ensemble machine learning (EML) methods are proposed to detect open-circuit faults that only require one single point as an input. Moreover, the proposed methods were trained using DC-link voltage diference, time, and three phase currents to improve the accuracy of open-circuit fault detection. The feasibility and efectiveness of the proposed method are verifed through simulation and experimentation. The present work also presents a comprehensive comparison of EML methods. The results show that Random Forest (RF) and Bootstrap Aggregating (bagging) methods achieve high performance compared to other EML methods, with an accuracy of 97%, without requiring additional circuitry. Additionally, the results show that incorporating time and DC-link voltage diferences, along with three-phase current, improves the performance of EML methods.

An Efficient Bit-Level Lossless Grayscale Image Compression Based on Adaptive Source Mapping

Al-Dmour, Ayman,Abuhelaleh, Mohammed,Musa, Ahmed,Al-Shalabi, Hasan Korea Information Processing Society 2016 Journal of information processing systems Vol.12 No.2

Image compression is an essential technique for saving time and storage space for the gigantic amount of data generated by images. This paper introduces an adaptive source-mapping scheme that greatly improves bit-level lossless grayscale image compression. In the proposed mapping scheme, the frequency of occurrence of each symbol in the original image is computed. According to their corresponding frequencies, these symbols are sorted in descending order. Based on this order, each symbol is replaced by an 8-bit weighted fixed-length code. This replacement will generate an equivalent binary source with an increased length of successive identical symbols (0s or 1s). Different experiments using Lempel-Ziv lossless image compression algorithms have been conducted on the generated binary source. Results show that the newly proposed mapping scheme achieves some dramatic improvements in regards to compression ratios.

Superoxide Dismutase Isoenzyme Activities in Plasma and Tissues of Iraqi Patients with Breast Cancer

Hasan, Hathama Razooki,Mathkor, Thikra Hasan,Al-Habal, Mohammed Hasan Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.6

Breast cancer is the first of the most common ten cancers in Iraq. Its etiology is multifactorial, oxidative stress and lipid peroxidation being suggested to play important roles in carcinogenesis. The purpose of this study was to investigate the oxidant-antioxidant status in breast cancer patients, by measuring SOD isoenzyme activities (total SOD, CuZn-SOD, Mn-SOD and EC-SOD) in plasma and breast tumors, and by estimating thiobarbituric reactive substances (TBRS) in tissue homogenates. General increase in total SOD activity was observed in plasma and tissue samples of breast tumors, greater in the malignant when compared to benign group (p<0.05). Mn-SOD showed a significant decrease in tissue malignant samples (p<0.05), and insignificant decrease in plasma malignant samples compared with control and benign samples. Plasma EC-SOD activity in both patient benign and malignant breast tumors demonstrated 3.5% and 22.8% increase, respectively. However, there was a decrease in tissue EC-SOD activity in malignant breast tumors when compared with benign. A similar tendency was noted for TBRS. We suggest that elevated total SOD might reflect a response to oxidative stress, and then may predict a state of excess reactive oxygen species in the carcinogenesis process. If there is proteolytic removal of the heparin binding domain, EC-SOD will lose its affinity for the extracellular matrix and diffuse out of the tissue. This will result in a decreased EC-SOD activity, thus leading to an increase in the steady-state concentration of $O^{2-}$ in this domain, and increase in EC-SOD activity in the extracellular fluid. This might explain the results recorded here concerning the decrease in tissue EC-SOD activity and increase in plasma of breast cancer patients.

A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population

Hasan Al Reza,Wardatul Jannat Anamika,Md. Miraj Kobad Chowdhury,Mohammad Golam Mostafa,M. Aftab Uddin 대한내과학회 2020 The Korean Journal of Internal Medicine Vol.35 No.3

Background/Aims: Bangladesh is a densely populated country with an increased incidence of lung cancer, mostly due to smoking. Therefore, elucidating the association of mouse double minute 2 homolog (MDM2) single nucleotide polymorphism (SNP) 309 (rs2279744) with lung cancer risk from smoking in Bangladeshi population has become necessary. Methods: DNA was extracted from blood samples of 126 lung cancer patient and 133 healthy controls. The MDM2 SNP309 was genotyped by polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP), using the restriction enzymes MspA1I. Logistic regression was then carried out to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to estimate the risk of lung cancer. A meta-analysis of SNP309 was also carried out on 12,758 control subjects and 11,638 patient subjects. Results: In multivariate logistic regression, significantly increased risk of lung cancer was observed for MDM2 SNP309 in the dominant model (TG + GG vs. TT: OR, 2.13; 95% CI, 1.29 to 3.53). Stratification analysis revealed that age, sex, obesity, and smoking also increases the risk of lung cancer when carrying the MDM2 SNP309. Our meta-analysis revealed that MDM2 SNP309 was considerably associated with lung cancer in Asian populations (TG + GG vs. TT: OR, 1.32; 95% CI , 1.12 to 1.56; p = 0.019 for heterogeneity). Conclusions: The MDM2 SNP309 was associated with high risk of lung cancer in Bangladeshi and Asian population, particularly with increased age, smoking, and body mass index.

A cohort study on the association of MDM₂ SNP₃₀₉ with lung cancer risk in Bangladeshi population

( Hasan Al Reza ),( Wardatul Jannat Anamika ),( Md. Miraj Kobad Chowdhury ),( Mohammad Golam Mostafa ),( M. Aftab Uddin ) 대한내과학회 2020 The Korean Journal of Internal Medicine Vol.35 No.3

Background/Aims: Bangladesh is a densely populated country with an increased incidence of lung cancer, mostly due to smoking. Therefore, elucidating the association of mouse double minute 2 homolog (MDM2) single nucleotide polymorphism (SNP) 309 (rs2279744) with lung cancer risk from smoking in Bangladeshi population has become necessary. Methods: DNA was extracted from blood samples of 126 lung cancer patient and 133 healthy controls. The MDM2 SNP309 was genotyped by polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP), using the restriction enzymes MspA1I. Logistic regression was then carried out to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to estimate the risk of lung cancer. A meta-analysis of SNP309 was also carried out on 12,758 control subjects and 11,638 patient subjects. Results: In multivariate logistic regression, significantly increased risk of lung cancer was observed for MDM2 SNP309 in the dominant model (TG + GG vs. TT: OR, 2.13; 95% CI, 1.29 to 3.53). Stratification analysis revealed that age, sex, obesity, and smoking also increases the risk of lung cancer when carrying the MDM2 SNP309. Our meta-analysis revealed that MDM2 SNP309 was considerably associated with lung cancer in Asian populations (TG + GG vs. TT: OR, 1.32; 95% CI , 1.12 to 1.56; p = 0.019 for heterogeneity). Conclusions: The MDM2 SNP309 was associated with high risk of lung cancer in Bangladeshi and Asian population, particularly with increased age, smoking, and body mass index.

Robust Hybrid Current Controller for Permanent-Magnet Synchronous Motors

Al-kaf Hasan Ali Gamal,Lee Kyo-Beum 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3

In recent years, hybrid models have been widely used for various power electronic appliances. The principal idea of hybrid model is to combine the merits of each control method to achieve better overall performance. However, switching between controllers remains a challenging problem that requires robust switching techniques to ensure smooth transition between controllers. Existing switching techniques tend to cause undesired bumps, oscillations, and large overshoots in the motor drives. Therefore, this study proposes a robust hybrid model that combines field-oriented control and model predictive control (MPC) using the cost function of MPC for permanent-magnet synchronous motors fed by a two-level inverter. In addition, space vector pulse width modulation is used to guarantee a constant switching frequency. The results show that the proposed hybrid model has fast dynamics, zero steady state error, small overshoot and constant switching frequency. In addition, the results reveal that the hybrid model provides good performance and outperforms conventional hybrid method in different operating cases. Simulation and experimental results demonstrate the effectiveness of the proposed hybrid model.