• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.19-28
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• 2020

Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

• Journal of Korea Society of Waste Management
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• v.35 no.7
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• pp.571-586
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• 2018

The Malaysian biogas upgrading technologies and policies were examined. In Malaysia, the regulation of palm oil mill effluent (POME) has been enforced to reduce the biochemical oxygen demand to 20 ppm and the biogas capture in the palm oil mills have been recently enforced for renewable energy. A huge amount of organic waste is produced from POME, and 80 million tons from palm oil trees, every year. Due to the renewable energy trends, the Malaysian government is modifying the use of biogases as fuels in favor of their conversion into compressed natural gas (CNG) and other chemicals; various green policies are being promoted because of many advantages of the organic substances. The Korean policies for biogas are a good model for exporting environmental plants after upgrading the digestion and purification technologies. Therefore, this article introduces the current status of POME and biogas production in Malaysia, it could encourage creating a new market for biomethane.

• Journal of Fashion Business
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• v.25 no.2
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• pp.63-79
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• 2021

In order to expand the overseas market of the Korean fashion industry, it is necessary to investigate the fashion-related purchases and fashion consciousness of Muslim women, who are increasingly attracting attention as global fashion consumers. Therefore a survey was conducted to identify the fashion design preferences and fashion consciousness of Malaysian Muslim women. A total of 245 responses were collected and analyzed. The survey included questions on demographic characteristics, fashion product purchases, design preferences and environmental awareness. The data were analyzed through frequency, average and standard deviation. The analysis showed that the majority of respondents were young Malaysian Muslim women in their 20s and 30s. They preferred a modern, Sophisticated, and sporty image, and their preference for unpatterned fabrics was high. When choosing fashion products, these women seek to both pursue fashion trends and comply with Islamic laws. When the women buy clothes, they consider practicality and design elements. The women also collected fashion trend information through SNS and the Internet, and ues this information to purchase fashion products through the Internet and shopping malls. This study was based on a practical survey of local consumers. Therefore, it is expected that the results can be used as data for fashion-related studies and to expand overseas markets to reach Muslim women in Southeast Asia.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.117-126
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• 2020

This paper is aimed to explore the co-movement capital market in Southeast Asia and analysis the correlation of conventional and Islamic Index in the regional and global equity. This research become necessary to represent the risk on the capital market and measure market performance, as investor considers the volatility before investing. The time series daily data use from April 2012 to April 2020 both conventional and Islamic stock index in Malaysia and Indonesia. This paper examines the dynamics of conditional volatilities and correlations between those markets by using Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH). Our result shows that conventional or composite index in Malaysia less volatile than Islamic, but on the other hand, both drive correlation movement. The other output captures that Islamic Index in Indonesian capital market more gradual volatilities than the Composite Index that tends to be low in risk so that investors intend to keep the shares. Generally, the result shows a correlation in each country for conventional and the Islamic index. However, Internationally Indonesia and Malaysia composite and Islamic is low correlated. Regionally Indonesia's indices movement looks to be more correlated and it's similar to Malaysian Capital Market counterparts. In the global market distress condition, the diversification portfolio between Indonesia and Malaysia does not give many benefits.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6463-6475
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• 2014

The mammalian target of rapamycin (mTOR) kinase plays an important role in regulating cell growth and cell cycle progression in response to cellular signals. It is a key regulator of cell proliferation and many upstream activators and downstream effectors of mTOR are known to be deregulated in various types of cancers. Since the mTOR signalling pathway is commonly activated in human cancers, many researchers are actively developing inhibitors that target key components in the pathway and some of these drugs are already on the market. Numerous preclinical investigations have also suggested that some herbs and natural phytochemicals, such as curcumin, resveratrol, timosaponin III, gallic acid, diosgenin, pomegranate, epigallocatechin gallate (EGCC), genistein and 3,3'-diindolylmethane inhibit the mTOR pathway either directly or indirectly. Some of these natural compounds are also in the clinical trial stage. In this review, the potential anti-cancer and chemopreventive activities and the current status of clinical trials of these phytochemicals are discussed.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.219-228
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• 2022

High-profile corporate crises have sparked a surge in interest in corporate governance (CG) and corporate reputation (CR). Company governance issues in many companies contribute to corporate failures and a bad reputation. Transparency is the glue that holds any group or organization together while also connecting it to a coalition of key stakeholders. This research focuses on how corporate governance factors (such as board independence, board size, board meetings, and board gender) and company characteristics affect the reputation of Malaysian public listed companies (PLCs). Many studies have looked into the characteristics of corporate governance in Malaysian businesses. However, none of the research has explored this issue using the new reputation measurement. A sample of the 100 largest companies listed on Bursa Malaysia based on their market capitalization for the year ended 2018 was selected. A new measurement, the disclosure index, was created and used to analyze reputation disclosure in the annual report of a corporation. The independent director, board size, and board meeting were statistically significant and associated with the level of reputation disclosure, according to the findings of this study. The results suggest that company directors prioritize good governance and management quality to boost their firm's reputation and acquire a competitive edge.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.683-692
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• 2020

The primary purpose of the study is to investigate the volatility spillovers from global economic policy uncertainty and macroeconomic factors to the Islamic stock market returns. The study focuses on the Islamic stock indices of emerging economies including Indonesia, Malaysia, and Turkey. The Macroeconomic factors are industrial production, consumer price index, exchange rate. EGARCH model is employed for investigation of volatility spillovers. The results show that the global economic policy uncertainty has a significant spillover effect only on the returns of Turkish Islamic stock index. Similarly, the shocks in macroeconomic factors have little influence on the volatility of Islamic indices returns. The volatility of Indonesian and the Turkish Islamic stock indices returns is not influenced from the fluctuations in macroeconomic factors. However, there is significant volatility spillover only from industrial production to the returns of Malaysian Islamic index. The results suggest that the Islamic stock markets are less likely to influence from the global economic policies and macroeconomic factors. The stability of Islamic stocks provide opportunity for diversification of portfolios, particularly in stressed market conditions. The major price factors of Islamic markets could be firms' specific factors or investors' behaviors. The findings are helpful for policy makers and investors in formulating policies and portfolios.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.3
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• pp.5-16
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• 2014

This study aims to examine the dynamics of price changes and trading volume of Kuala Lumpur Options and Financial Futures Exchange (KLOFFE) from 2000 to 2008. With augmented analysis, our results support two hypotheses. First, under information spillover, our findings support noise traders' hypothesis as the time span for variance of past trading volume to cause variance of current return is found to be asymmetric under bull and bear markets. Second, looking at the dynamic relation between volume and volatility of price changes, our findings support Liquidity-Driven Trade hypothesis as past trading volume and subsequent volatility of return exhibit positive correlation. In terms of investors' behavior in response to the news, we find that investors are more risk taking in bull market and more risk reverse in bear market. Our study suggests that investors should adjust their strategy in the futures market in a dynamic manner as the time span of new information arrival is not consistent. Also, uninformed investors with information asymmetry should expect noninformational trading from informed investors to establish their desired positions for better liquid position.

• ETRI Journal
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• v.41 no.2
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• pp.224-234
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• 2019

This paper proposes a new spectrum forecasting (SF) model to estimate the spectrum demands for future mobile broadband (MBB) services. The model requires five main input metrics, that is, the current available spectrum, site number growth, mobile data traffic growth, average network utilization, and spectrum efficiency growth. Using the proposed SF model, the future MBB spectrum demand for Malaysia in 2020 is forecasted based on the input market data of four major mobile telecommunication operators represented by A-D, which account for approximately 95% of the local mobile market share. Statistical data to generate the five input metrics were obtained from prominent agencies, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and Huawei. Our forecasting results indicate that by 2020, Malaysia would require approximately 307 MHz of additional spectrum to fulfill the enormous increase in mobile broadband data demands.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.63-79
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• 2022

Past studies on the influence of corporate social responsibility (CSR) activities on firms have been inconsistent, highlighting the significance of examining how CSR affects the performance of Malaysian government-linked companies (GLCs). The study aims to investigate the impact of CSR dimensions (economic, legal, ethical, and philanthropic) on firm performance from 2016 to 2020 using a sample of 31 GLCs from the top 100 companies under the Main Board of Bursa Malaysia. A total of 35 GLCs were selected as the study sample size based on the top 100 businesses listed under the board of Bursa Malaysia as of 31 December 2020. The study employed correlation and multiple linear regression models to examine the relationship between CSR dimensions and firm performance. Financial performance is evaluated using accounting-based models of return on assets (ROA) and return on equity (ROE) and market-based models of earnings per share (EPS) and market value (MV). The CSRHub database was employed to collect information on the performance of company CSR dimensions. The findings suggested a significant positive relationship between ethical and philanthropic CSR and firm performance regarding ROE. Thus, GLCs prioritized ethical and philanthropic CSR over other dimensions.