http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Gulbadin Farooq Dar(Gulbadin Farooq Dar ),Young-Hyo Ahn(Young-Hyo Ahn),Qaiser Farooq Dar(Qaiser Farooq Dar ),Jin-Hee Ma(Jin-Hee Ma) The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.4
Purpose – The share price of any financial institution fluctuates due to various hidden and visible factors. Predicting share price behavior in the economy and financial marketing theory is crucial but complex. The Industrial Bank of Korea’s (IBK) share prices are also affected by hidden factors, including Korean international trade flow. The study aims to forecast hidden impacts on IBK share prices resulting from the international trade flow in Korea. Design/Methodology/Approach – Two Hidden Markov Model (HMM) approaches are employed, one based on exports, and the other on imports, to identify trends and fluctuations in the hidden states influencing visible states. Findings – The findings reveal a significant positive correlation between IBK share prices and both exports and imports. Notably, increasing exports indicate a 50% probability of IBK share prices rising, while falling imports indicate a 56% chance of IBK share prices increasing. These results demonstrate how changes in exports and imports impact IBK’s share price in the Korean stock market. Research Implications – The research implications are valuable for short- and long-term investors in IBK shares and the Korean stock exchange. This research can help decision-makers identify the relationships between and within the visible/observed states that influence the stock price of IBK.
Impact of Approval Goals and Motivation on Consumer Intention: A Retail Context
Muhammad Farooq AKHTAR(Muhammad Farooq AKHTAR ),Norazah Mohd SUKI(Norazah Mohd SUKI ) 한국유통과학회 2022 유통과학연구 Vol.20 No.12
Purpose: The objective of the study is to examine the role of approval goals, subjective norm, internal motivation, external motivation, attitude towards behavior, and perceived behavioral control on retail consumer’s intention to consume fortified food in Pakistan. Research design, data, and methodology: The study was quantitative in nature. That is why the data were collected from 384 respondents approaching retail stores of Lahore, Gujranwala, and Faisalabad using mall intercept survey. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. Results: The results show that approval goals significantly influence subjective norms. Secondly, subjective norms positively influence internal and external motivation. Thirdly, attitude towards behavior and internal motivation significantly impacted on intention. However, the findings of the study show, non-significant relationship of external motivation and perceived behavioral control with intention to consume fortified food. Conclusion: Theory of reasoned goal pursuit was used to investigate consumer intention to consume fortified food in Pakistan. This study is helpful for the marketers to create a word-of-mouth strategy to enhance positive word of mouth for the company, which ultimately beneficial to develop the distribution strategy of the firm. Fortified food is full of health enriched ingredients which is beneficial for society at large.
Farooq Mujahid,Ahmed Ammar,Qureshi Kamran,Shah Ajmal,Waheed Khalid,Siddique Waseem,Irfan Naseem,Ahmad Masroor,Farooq Amjad 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.9
Owing to the rising concerns about the safety of nuclear power plants (NPP), it is essential to study the venturi scrubber in detail, which is a key component of the filtered containment venting system (FCVS). FCVS alleviates the pressurein containment byfiltering and venting out the contaminated air. Themain objective of this research was to perform a CFD investigation of different configurations of a circular, non-submerged, selfpriming venturi scrubber to estimate and improve the performance in the removal of elemental iodine from the air. For benchmarking, a mass transfer model which is based on two-film theory was selected and validated by experimental data where an alkaline solution was considered as the scrubbing solution. This mass transfer model was modified and implemented on a unique formation of two self-priming venturi scrubbers in series. Euler-Euler method was used for two-phase modeling and the realizable K ε model was used for capturing the turbulence. The obtained results showed a remarkable improvement in the removal of radioactive iodine from the air using a series combination of venturi scrubbers. The removal efficiency was improved at every single data point.
Human Action Recognition via Depth Maps Body Parts of Action
( Adnan Farooq ),( Faisal Farooq ),( Anh Vu Le ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.5
Human actions can be recognized from depth sequences. In the proposed algorithm, we initially construct depth, motion maps (DMM) by projecting each depth frame onto three orthogonal Cartesian planes and add the motion energy for each view. The body part of the action (BPoA) is calculated by using bounding box with an optimal window size based on maximum spatial and temporal changes for each DMM. Furthermore, feature vector is constructed by using BPoA for each human action view. In this paper, we employed an ensemble based learning approach called Rotation Forest to recognize different actions Experimental results show that proposed method has significantly outperforms the state-of-the-art methods on Microsoft Research (MSR) Action 3D and MSR DailyActivity3D dataset.
Qaiser Farooq Dar,Gulbadin Farooq Dar,Jin-Hee Ma,Young-Hyo Ahn 한국무역학회 2020 Journal of Korea trade Vol.24 No.1
Purpose – The recent growth of South Korean products in the international market is the benchmark for both developed as well as developing countries. According to the development index, the role of international trade is indeed crucial for the development of the national economy. However, the visualization of the international trade profile of the country is the prerequisite of governmental policy decision-makers and guidance for forecasting of foreign trade. Design/methodology – We have utilized data visualization techniques in order to visualize the import & export product space and trade partners of South Korea. Economic Complexity Index (ECI) and Revealed Comparative Advantage (RCA) were used to identify the Korean international trade diversification, whereas the time series approach is used to forecast the economy and foreign trade variables. Findings – Our results show that Chine, U.S, Vietnam, Hong Kong, and Japan are the leading trade partners of Korea. Overall, the ECI of South Korea is growing significantly as compared to China, Hong Kong, and other developed countries of the world. The expected values of total import and export volume of South Korea are approximately US$535.21 and US$ 781.23B, with the balance of trade US$ 254.02B in 2025. It was also observed from our analysis that imports & exports are equally substantial to the GDP of Korea and have a significant correlation with GDP, GDP per capita, and ECI. Originality/value – To maintain the growth rate of international trade and efficient competitor for the trade partners, we have visualized the South Korea trade profile, which provides the information of significant export and import products as well as main trade partners and forecasting.
Use of wheat straw for effective binding of metal ions via a novel modification
Faiza Farooq,Umar Farooq,Madeeha Batool,Makshoof Athar,Muhammad Salman,Qaiser Ahmed,Ayesha Ashraf 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.9
An innovative biacetyl-modified Triticum aestivum (BMTA) was prepared and its biosorption efficiency was investigated for the removal of Pb(II) and Cr(III) ions from synthesized single and binary metal solutions. The characterization using infrared spectrum, surface area determination and potentiometric titrations indicated an increased acid content of the biomass, indicating BMTA as a potential choice for the binding of metal ions at a relatively low pH. The isoelectric point was found to be at pH 4.5. Various biosorption parameters were optimized. Langmuir model best fitted the experimental equilibrium data with qmax 27.39mg/g for Pb(II) ions and 24.69mg/g for Cr(III) ions in single metal system and 24.21mg/g for Pb(II) and 12.97mg/g for Cr(III) ions in binary system, respectively. The kinetics was described by pseudo-second-order model both in single and binary metal system. The studies indicated relatively selective biosorption of Pb(II) ions by BMTA compared to other metal ions.
Chlorella vulgaris cultivation with an additive of magnesium-aminoclay
Farooq, W.,Lee, H.U.,Huh, Y.S.,Lee, Y.C. Elsevier Science B.V. Amsterdam 2016 Algal research Vol.17 No.-
<P>In integral microalgal biofuel production consisting of microalgal culturing, harvesting, lipid (oil) extraction, oil-to-biodiesel conversion and biodiesel quality improvement, cultivation to improve lipid (oil) content in microalgal cells without inducement of transformants is a booming field of experimentation and application. In the present study, water-solubilized, transparent and cationic-charged and clustered magnesium-aminoclay (MgAC) was utilized as a co-additive in Chlorella vulgaris cultivation. The MgAC effected both an increase of cell size (from similar to 3.524 mu m to similar to 4.175 mu m size) with low cell density (from 1260 x 10(6) cells/mL to 511 x 10(6) cells/mL) and an increase of total lipid content without microalgal cell transformation according to various MgAC loadings (0, 0.25, 0.50, and 1.0 g/L) at the 2.0% CO2 supply. The cationic-charged MgAC clusters wrapped the microalgal cells to create a stressful microenvironment, increasing the intracellular reactive oxygen species (ROS) content. Therefore, additive-MgAC-based microalgal cultivation is herein suggested in a novel microalgal biofuel production. (C) 2016 Elsevier B.V. All rights reserved.</P>
A Survey of Human Action Recognition Approaches that use an RGB-D Sensor
Farooq, Adnan,Won, Chee Sun The Institute of Electronics and Information Engin 2015 IEIE Transactions on Smart Processing & Computing Vol.4 No.4
Human action recognition from a video scene has remained a challenging problem in the area of computer vision and pattern recognition. The development of the low-cost RGB depth camera (RGB-D) allows new opportunities to solve the problem of human action recognition. In this paper, we present a comprehensive review of recent approaches to human action recognition based on depth maps, skeleton joints, and other hybrid approaches. In particular, we focus on the advantages and limitations of the existing approaches and on future directions.