New Text Steganography Technique Based on Part-of-Speech Tagging and Format-Preserving Encryption

Mohammed Abdul Majeed,Rossilawati Sulaiman,Zarina Shukur 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.1

The transmission of confidential data using cover media is called steganography. The three requirements of any effective steganography system are high embedding capacity, security, and imperceptibility. The text file's structure, which makes syntax and grammar more visually obvious than in other media, contributes to its poor imperceptibility. Text steganography is regarded as the most challenging carrier to hide secret data because of its insufficient redundant data compared to other digital objects. Unicode characters, especially non-printing or invisible, are employed for hiding data by mapping a specific amount of secret data bits in each character and inserting the character into cover text spaces. These characters are known with limited spaces to embed secret data. Current studies that used Unicode characters in text steganography focused on increasing the data hiding capacity with insufficient redundant data in a text file. A sequential embedding pattern is often selected and included in all available positions in the cover text. This embedding pattern negatively affects the text steganography system's imperceptibility and security. Thus, this study attempts to solve these limitations using the Part-of-speech (POS) tagging technique combined with the randomization concept in data hiding. Combining these two techniques allows inserting the Unicode characters in randomized patterns with specific positions in the cover text to increase data hiding capacity with minimum effects on imperceptibility and security. Format-preserving encryption (FPE) is also used to encrypt a secret message without changing its size before the embedding processes. By comparing the proposed technique to already existing ones, the results demonstrate that it fulfils the cover file's capacity, imperceptibility, and security requirements.

Dynamic Linkages between Food Inflation and Its Volatility: Evidence from Sri Lankan Economy

Abdul Majeed MOHAMED MUSTAFA,Selliah SIVARAJASINGHAM 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.4

This study examines the dynamic linkages between food price inflation and its volatility in the context of Sri Lanka. The empirical evidence derived from the monthly data for the period from 2003M1 to 2017M12 for Sri Lanka. The relationship between inflation rate and inflation volatility has attracted more attention by theoretical and empirical macroeconomists. Empirical studies on the relationship between food inflation and food inflation variability is scarce in the literature. Food price inflation is defined as log difference of food price series. The volatility of a food price inflation is measured by conditional variance generated by the FIGARCH model. Preliminary analysis showed that food inflation is stationary series. Granger causality test reveals that food inflation seems to exert positive impact on inflation variability. We find no evidence for inflation uncertainty affecting food inflation rates. Hence, the findings of the study supports the Friedman-Ball hypothesis in both cases of consumer food price inflation and wholesale food price inflation. This implies that past information on food inflation can help improve the one-step-ahead prediction of food inflation variability but not vice versa. Our results have some important policy implications for the design of monetary policy, food policy thereby promoting macroeconomic stability.

Impact of Seasonal Variation on Travel and Tourism Sector: A Study of the Post Civil Unrest in Arugam Bay in Sri Lanka

MOHAMED MUSTAFA, Abdul Majeed Korea Distribution Science Association 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.1

The purpose of this study is to identify the effect of seasonality on the tourism and hospitality industry in ArugamBay after the civil unrest across the different firms in tourism. This study uses both quantitative and qualitative analyses using primary data. Fifty questionnaires give valid responses that were used for analysis. Out of 80 questionnaires, the average response rate was 62.5%. An exploratory study, descriptive analysis, and an Independent Sample Test were used to identify the potentials of tourism, the overall impact of seasonality, and the impact of seasonality across different travel and tourism sector of the study area. According to the results, 83%, 75%, 68%, and 59.9% of firms agreed on the impact of seasonality on environment, workers, supply, and quality of services, respectively in ArugamBay. It also concluded that the impact of seasonality on workers, supply, and quality of services is not the same among all the categories of firms except environment. The variation in seasonality in the travel and tourism sector is because of the lack of regional planning considering the types of firms in the tourism sector. Also, insufficient resources and lack of consistent capacity between various firms in the sectors are also course variations because of the effect of seasonality.

Contribution of Tourism and Foreign Direct Investment to Gross Domestic Product: Econometric Analysis in the Case of Sri Lanka

Abdul Majeed MOHAMED MUSTAFA 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.4

The purpose of the study to evaluate the contribution of foreign direct investment (FDI) and tourism receipts (TR) to Sri Lanka’s gross domestic product (GDP). This study employs time series annual data for the period from 1978 to 2016 and EViews 10 econometrics software was used for the time series data analysis. Unit root test was done on the variables and the method chosen was the Augmented Dicky – Fuller test. Co-integration analysis was used for the long run relationship and the Granger causality test was performed to investigate the causal relationship. Recently a more conducive environment has been established after the three decade long ethnic war came to an end. In this context, the Sri Lankan government has taken positive measures to attract foreign direct investment and boost tourism in the country. This study intends to evaluate the contribution of Sri Lanka, as these two factors are considered to be very effective at increasing the GDP of a country. The empirical study shows that there is a positive and statistically significant relationship between the variable’s TR and FDI to the GDP in the long run. Results of Granger causality test implied that the two-way causality promoted the economic growth of Sri Lanka.

Impact of Seasonal Variation on Travel and Tourism Sector: A Study of the Post Civil Unrest in Arugam Bay in Sri Lanka

Abdul Majeed MOHAMED MUSTAFA 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.1

The purpose of this study is to identify the effect of seasonality on the tourism and hospitality industry in ArugamBay after the civil unrest across the different firms in tourism. This study uses both quantitative and qualitative analyses using primary data. Fifty questionnaires give valid responses that were used for analysis. Out of 80 questionnaires, the average response rate was 62.5%. An exploratory study, descriptive analysis, and an Independent Sample Test were used to identify the potentials of tourism, the overall impact of seasonality, and the impact of seasonality across different travel and tourism sector of the study area. According to the results, 83%, 75%, 68%, and 59.9% of firms agreed on the impact of seasonality on environment, workers, supply, and quality of services, respectively in ArugamBay. It also concluded that the impact of seasonality on workers, supply, and quality of services is not the same among all the categories of firms except environment. The variation in seasonality in the travel and tourism sector is because of the lack of regional planning considering the types of firms in the tourism sector. Also, insufficient resources and lack of consistent capacity between various firms in the sectors are also course variations because of the effect of seasonality

Potential Zoonotic Trematodes Recovered in Stray Cats from Kuwait Municipality, Kuwait

Osama Mohamed ElShfei El-Azazy,Nadra-Elwgoud Mohamed Ibrahim,Amal Iskander Khalil,Maha Khaled Al-Batel,Qais Abdulrazak Habeeb Majeed,Adawia Abdul-Ruhman Henedi,Laila Mohamed Azad Tahrani 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.3

The Diagnosis of COVID-19 by Means of Transfer Learning through X-ray Images

Amiir Haamzah Mohamed Ismail,Mohd Azraai Mohd Razman,Ismail Mohd Khairuddin,Rabiu Muazu Musa,Anwar P.P. Abdul Majeed 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

Radiography is used in medical treatment as a method to diagnose the internal organs of the human body from diseases. However, the advancement in machine learning technologies have paved way to new possibilities of diagnosing diseases from chest X-ray images. One such diseases that are able to be detected by using X-ray is the COVID-19 coronavirus. This research investigates the diagnosis of COVID-19 through X-ray images by using transfer learning and fine-tuning of the fully connected layer. Hyperparameters such as dropout, p, number of neurons, and activation functions are investigated on which combinations of these hyperparameters will yield the highest classification accuracy model. VGG19 learning model created by the Visual Geometry Group is used for extraction of features from the patient’s chest X-ray images. To evaluate the combination of various pipelines, the loss and accuracy graphs are used to find the pipeline which performs the best in classification task. The findings in this research will open new possibilities in screening method for COVID-19.

In situ Transesterification/Reactive Extraction of Castor Bean Seeds Assisted by Flying Jet Plasma for Biodiesel Production

Elsheikh, Yasir A.,Abdul-Majeed, Wameath S.,Nasir, Qazi,Al-Rahbi, Balaqis,Al-Subhi, Noor,Mahmoud, Mohamed A.,AAl-Thani, Ghanim S. The Korean Society of Industrial and Engineering C 2022 공업화학 Vol.33 No.5

One of the most exciting areas for the development of alternative fuels is the production of biodiesel. To reduce the cost of biodiesel production, in situ trans-esterification has been introduced to simplify the production process by enabling extraction and trans-esterification to occur at a single stage in the presence of a catalyst. In this study, we investigated the feasibility of using non-corrosive and environmentally receptive flying jet plasma as an alternative catalytic route for in situ tran-sesterification of castor bean seeds (CBS). Upon optimizing the reaction conditions, it is elucidated that applying a low ratio of methanol to seeds (≤6:1) has resulted in hindering the in situ trans-esterification and leading to insignificant conversion. The yield of esters has increased from 80.5% to 91.7% as the molar ratio rose from 9:1 to 12:1. Excess alcohol beyond the ratio of 15:1 was shown to have a negative impact on the yield of the produced esters, attributed to an increase in the biodiesel portion prone to dissolving in the co-product (glycerol). An increase in the reaction bulk temperature from 40 to 55 ℃ led to a higher ester content by 50%. Further increases in the bulk temperature beyond 55 ℃ did not affect yields. Regarding the reaction period, the results have shown that 3 h of reaction is adequate for a higher biodiesel yield. The quality of the biodiesel obtained has demonstrated that all physicochemical properties meet the ASTM D6751 specifications.

Nexus between Financial Development and Economic Growth: Evidence from Sri Lanka

FATHIMA RINOSHA, Kalideen,MOHAMED MUSTAFA, Abdul Majeed Korea Distribution Science Association 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.3

This paper examines the long-run relationship between financial development and economic growth. The effective function of financial development is crucial to promote the economic development of the country. To achieve the objective, this study used Gross Domestic Product as a dependent variable and Credit to The Private Sector, Ratio of the Gross Fixed Capital Formation to GDP, Trade, Consumer Price Index and Labour Force as an independent variable. Augmented Dickey-Fuller test statistic (ADF) to check the stationary. Bounds test for cointegration and Auto-Regressive Distributed Lag Models (ARDL) are used to check cointegrating relationship amongst the variables and causality between financial development and economic growth. Moreover, the Model selection method is Akaike Info Criterion (AIC). This result demonstrates that the labor force and trade hold a significantly negative relationship with economic growth. Nevertheless, inflation, Credit to The Private Sector, and Ratio of the Gross Fixed Capital Formation to GDP show a significantly positive relationship with economic growth. Therefore, there is a statistically significant relationship between Financial Development and Economic growth in Sri Lanka and the Sri Lankan government should reform its trade policies.

17-alpha hydroxyprogesterone caproate for the prevention of recurrent preterm birth among singleton pregnant women with a prior history of preterm birth: a systematic review and meta-analysis of six randomized controlled trials

( Saeed Baradwan ),( Sahar Hassan Abdulghani ),( Mohammed Abuzaid ),( Khalid Khadawardi ),( Majed Saeed Alshahrani ),( Abdulrahman Al-matary ),( May A. Alrasheed ),( Najlaa Talat Miski ),( Aroob Abdul 대한산부인과학회 2021 Obstetrics & Gynecology Science Vol.64 No.6

To perform a systematic review and meta-analysis of all randomized controlled trials (RCTs) that investigated the clinical benefits of 17-alpha hydroxyprogesterone caproate (17OHPC) in the prevention of recurrent preterm birth (PTB) among singleton pregnant women with a previous history of PTB. We searched four major databases up till April 2021 and assessed the risk of bias in the included studies. We meta-analyzed various maternal-neonatal endpoints (n=18) and pooled them as mean difference or risk ratio (RR) with 95% confidence interval (CI) using the random-effects model. Six RCTs met the inclusion criteria, comprising 2,573 patients (17OHPC=1,617, control=956). RCTs revealed an overall low risk of bias. The rates of PTB <35 weeks (n=5 RCTs; RR, 0.77; 95% CI, 0.63-0.93; P=0.008), PTB <32 weeks (n=3 RCTs; RR, 0.68; 95% CI, 0.51-0.91; P=0.009), neonates with low birth weight (<2.5 kg) at delivery (n=3 RCTs; RR, 0.63; 95% CI, 0.5-0.79; P<0.001), and neonatal death (n=4 RCTs; RR, 0.41; 95% CI, 0.20-0.84; P=0.02) were significantly reduced in the 17OHPC group compared with the control group. Moreover, 17OHPC treatment correlated with a significantly decreased rate of retinopathy (n=2 RCTs; RR, 0.42; 95% CI, 0.18-0.97; P=0.004). However, there were no significant differences in the rates of neonatal intensive care unit admission, cesarean delivery, and other pretermrelated complications between both the groups. Among singleton pregnant women with a prior history of PTB, 17OHPC may favorably decrease the risks of recurrent PTB and reduce the rate of neonatal death.