http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Computer Simulation: A Hybrid Model for Traffic Signal Optimisation
Munir AHMED,Mohamed Kamal JBIRA 한국정보처리학회 2011 Journal of information processing systems Vol.7 No.1
With the increasing number of vehicles in use in our daily life and the rise of traffic congestion problems, many methods and models have been developed for real time optimisation of traffic lights. Nevertheless, most methods which consider real time physical queue sizes of vehicles waiting for green lights overestimate the optimal cycle length for such real traffic control. This paper deals with the development of a generic hybrid model describing both physical traffic flows and control of signalised intersections. The firing times assigned to the transitions of the control part are considered dynamic and are calculated by a simplified optimisation method. This method is based on splitting green times proportionally to the predicted queue sizes through input links for each new cycle time. The proposed model can be easily translated into a control code for implementation in a real time control system.
Intellectual Capital and Innovation Capability: A Strategy for Achieving Competitive Advantage
Oyekunle OYELAKIN(Oyekunle OYELAKIN ),Maryam Tijjani ABBA(Maryam Tijjani ABBA ),Ahmed ADAMU(Ahmed ADAMU ),Munir BABAN-MAIRAM(Munir BABAN-MAIRAM ),Sallah Boniface NA’ANMAN(Sallah Boniface NA’ANMAN ),He 한국4차산업학회 2022 4차산업연구 Vol.2 No.2
Purpose - The ability to meet the high demand for education in Nigeria is lacking, making the region remain backwards in education. Given this reason, the study investigates the role of innovation capability in the relationship between intellectual capital and competitive advantage in tertiary institutions in Nigeria. Research design, data, and methodology - The study is cross-sectional research, a total of 427 questionnaires were administered to respondents. The study distributed its questionnaire across 12 faculties at the University of Ibadan using a random sampling technique. Data were analyzed using ADANCO 2.1.1. Result - The study reveals that human capital, structural capital, relational capital, and innovation capability positively affect competitive advantage. Innovation capability mediates the relationship between human capital and relational capital. However, structural capital was not mediated by innovation capability. Conclusion - The study concludes that intellectual capitals and innovation capability are crucial to maintaining a competitive advantage over their peers. Achieving more significant success in the variables mentioned earlier will help Nigeria's tertiary institutions compete locally and internationally.
Loss Analysis of Nanocrystalline Cores for High Frequency Transformer in Power Electronics Circuits
Munir Muhammad Umair,Ehab Muhammad,Tawfik Mohamed Atef,Ahmed Ashraf,Park Joung-Hu 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
Nanocrystalline cores have a superior higher permeability, which makes them smaller size and weight compared to conventional cores. This makes nanocrystalline more suitable to many applications, such as electrical vehicles, EMI flters, so on. This paper compares power-conversion performance between nanocrystalline and conventional ferrite cores of similar volume. A 1 kW dual-active bridge converter is used for testing the transformers at 50–80 kHz. Theoretical losses are calculated from datasheets and compared with the experimental losses for both the nanocrystalline and ferrite. Results reveal that the theoretical and experimental losses match for ferrite transformer but there exists a signifcant diference in case of the nanocrystalline transformers. Further investigation is needed to explain this mismatch. Therefore, FEM analysis using COMSOL Multiphysics is performed. Due to the nonlinearity of the material, a homogenized anisotropic confguration is adopted. The experimental and FEM results suggest that the mismatch is possibly because of the circulating eddy currents between the ribbons, which must be taken into consideration during the modeling of the losses for nanocrystalline cores.
The Wormhole Routing Attack in Wireless Sensor Networks (WSN)
Sharif, Lukman,Ahmed, Munir Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.2
Secure routing is vital to the acceptance and use of Wireless Sensor Networks (WSN) for many applications. However, providing secure routing in WSNs is a challenging task due to the inherently constrained capabilities of sensor nodes. Although a wide variety of routing protocols have been proposed for WSNs, most do not take security into account as a main goal. Routing attacks can have devastating effects on WSNs and present a major challenge when designing robust security mechanisms for WSNs. In this paper, we examine some of the most common routing attacks in WSNs. In particular, we focus on the wormhole routing attack in some detail. A variety of countermeasures have been proposed in the literature for such attacks. However, most of these countermeasures suffer from flaws that essentially render them ineffective for use in large scale WSN deployments. Due to the inherent constraints found in WSNs, there is a need for lightweight and robust security mechanisms. The examination of the wormhole routing attack and some of the proposed countermeasures makes it evident that it is extremely difficult to retrofit existing protocols with defenses against routing attacks. It is suggested that one of the ways to approach this rich field of research problems in WSNs could be to carefully design new routing protocols in which attacks such as wormholes can be rendered meaningless.
Probabilistic Analysis To Analyze Uncertainty Incorporating Copula Theory
Li Bin,Shahzad Muhammad,Munir Hafiz Mudassir,Nawaz Asif,Fahal Nabeel Abdelhadi Mohamed,Khan Muhammad Yousaf Ali,Ahmed Sheeraz 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
The emerging trend of distribution generation with existing power system network leads uncertainty factor. To handle this uncertainty, it is a provocation for the power system control, planning, and operation engineers. Although there are numerous techniques to model and evaluate these uncertainties, but in this paper the integration of Copula theory with Improved Latin-hypercube Sampling (ILHS) are incorporated for Probabilistic load Flow (PLF) evaluation. In probabilistic research approaches, the dominant interest is to achieve appropriate modelling of input random variables and reduce the computational burden. To address the said problem, Copula theory is applied to execute the modelling and interaction among input random variables of the active power system network. Considering the real discrete data, the ILHS is adopted. The load fl ow accessibility of the power system is carefully modeled by considering the dependence and uncertainty factors. Modifi ed IEEE 14-bus system is employed to analyze the effi ciency and performance of the proposed model using active power system network. Output power of two wind energy farms situated in New Jersey are obtained for accuracy comparison. The proposed technique shows the superiority in PLF evaluation.
Ayesha SERFRAZ,Zartashia MUNIR,Ahmed Muneeb MEHTA,Md. QAMRUZZAMAN 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.3
Nepotism practices have had a severe impact on the social, ethical, and economic culture of not only corporations but also countries in the modern world. Nepotism behavior not only discourages the determined and motivated employee, but also has a detrimental impact on the worker’s satisfaction, performance, and contribution to the firm’s success. This increases economic tensions due to workers’ dissatisfaction with their jobs and occasionally withdrawal intentions, resulting in poor economic activity and a decline in society as a whole. The purpose of this study is to see how organizations’ nepotism affects individual work happiness, withdrawal behavior, social and ethical values, and the country’s economic development. The study’s target audience was private-sector employees, including managers, non-managerial staff, and middle and lower-level employees. Convenient sampling was used to ensure that the target population was accessible and available. The findings demonstrated that organizational nepotism causes substantial harm not only to employees but also to businesses and the economy. The employee who is happy with his or her job and working environment is less likely to withdraw.