Effect of Human Related Factors on Requirements Change Management in Offshore Software Development Outsourcing: A theoretical framework

Mehmood, Faisal,Zulfqar, Sukana Institute of Information Science and Technology 2021 Soft computing and machine intelligence Vol.1 No.1

Software development organizations are globalizing their development activities increasingly due to strategic and economic gains. Global software development (GSD) is an intricate concept, and various challenges are associated with it, specifically related to the software requirement change management Process (RCM). This research aims to identify humans' related success factors (HSFs) and human-related challenges (HCHs) that could influence the RCM process in GSD organizations and propose a theoretical framework of the identified factors concerning RCM process implementation. The Systematic Literature Review (SLR) method was adopted to investigate the HSFs and HCHs. Using the SLR approach, a total of 10 SFs and 10 CHs were identified. The study also reported the critical success factors (HCSFs) and critical challenges (HCCHs) for RCM process implementation following the factors having a frequency 50% as critical. Our results reveal that five out of ten HSFs and 4 out of ten HCHs are critical for RCM process implementation in GSD. Finally, we have developed a theoretical framework based on the identified factors that indicated a relationship among the identified factors and the implementation of the RCM process in the context of GSD. We believe that the results of this research can help tackle the complications associated with the RCM in GSD environment, which is vigorous to the success and progression of GSD organizations.

The Reaction of the Malaysian Stock Market to the COVID-19 Pandemic

Mehmood, Waqas,Mohd-Rashid, Rasidah,Aman-Ullah, Attia,Shafique, Owais,Tajuddin, Ahmad Hakimi World Association for Triple Helix and Future Stra 2021 Journal of Contemporary Eastern Asia Vol.20 No.2

The present study was conducted to understand the turmoil effects of COVID-19 pandemic on the Malaysian stock market during the different periods of the Movement Control Order (MCO). The present study was based on the secondary data extracted from the DataStream and Bloomberg from 2nd January 2020 to 29th May 2020 to evaluate the effects of COVID-19 pandemic on the Malaysian stock market. The findings suggested that during the different periods of the Movement Control Order (MCO) from the 1st January to 29th May 2020, the COVID-19 pandemic adversely affected the performance of KLCI index and all sectoral indices. The weakest performance indices were energy, property, and finance while the least affected indices were healthcare, technology, telecommunications, and media. This paper provides a review of the impacts of COVID-19 pandemic on the Malaysian stock market throughout the different periods of MCO.

DYNAMICS OF PAKISTAN’S POST 9/11 CRISIS FOREIGN POLICY DECISION-MAKING PROCESS

Mehmood Hussain 한국정치사회연구소 2018 한국과 국제사회 Vol.2 No.2

이 연구는 파키스탄에서 9/11 테러 이후 외교정책 결정 과정을 추적하기 위해 4단계 위기에서의 국가 행동 모델 을 적용했다. 그것은 알카에다의 미국에 대한 불길한 공격과 테러에 맞서 싸우기 위한 부시대통령의 후속 선언이 t1 단계의 세계와 지역의 정치 안보 차원을 변화시켰다고 주장한다. 이웃 국가인 파키스탄의 지원은 테러와의 전쟁에서 불가피했고, 미국은 이슬람 바드의 협력을 얻기 위해 강압적인 외교를 취했다. 결과적으로, 미국의 요구를 수용하지 않을 경우 파키스탄은 국가의 기본 가치/목표에 대한 위협을 인식하고 동시에 시간 압박은 t2 단계에서 의사결정자들의 심리적 스트레스를 증폭시켰다. 따라서 의사결정 포럼은 t3 단계에서 시작되었고 파키스탄은 외교 정책 위기를 완화시킨 t4 단계로 미국에 합류하기로 결정했다. The study has applied the four stage Model of State Behavior in Crisis to trace the post 9/11 crisis foreign policy decision making process in Pakistan. It argues that ominous attacks on the United States by al-Qaeda and subsequent declaration of President Bush to fight against terrorism transformed the global and regional politico-security dimensions at t1 stage. Being a neighboring country, Pakistan’s support was inevitable in the war on terror and Washington applied coercive diplomacy to win the cooperation from Islamabad. Consequently, in case of decline to accept American demands, Pakistan perceived threat to basic values/objectives of the country and simultaneous time pressure amplified the psychological stress in decision makers at t2 stage. Therefore, the decisional forum was setup at t3 stage and Pakistan decided to join the United States at t4 stage, which defused the foreign policy crisis.

Tailoring cathode structure of catalyst coated membranes for performance enhancement in direct methanol fuel cells

Mehmood, A.,An, M.,Ha, H.Y. Pergamon Press 2016 International journal of hydrogen energy Vol.41 No.46

<P>In this study, we demonstrate how the formulation of colloidal catalyst ink and fabrication conditions affect the cathode microstructure of catalyst coated membranes (CCMs) prepared via decal technique. The CCMs based on conventional and high concentration cathode inks are compared in a direct methanol fuel cell (DMFC). It is found that the cathode catalyst layer made with a high concentration ink possesses superior porosity, leading to an improved DMFC performance. The temperature of roll-press used for preparing CCM is varied ranging from 170 to 210 degrees C in order to determine the optimal fabrication conditions for high concentration ink-based cathode. The CCM hot-pressed at 200 degrees C (advanced CCM) retains a significantly higher pore volume and outperforms' the conventional CCM by delivering an excellent DMFC performance with a maximum power density of 155 mW cm(-2), which is 20% higher than that of the conventional CCM. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.</P>

Unified Planning of Wind Generators and Switched Capacitor Banks: A Multiagent Clustering-Based Distributed Approach

Mehmood, Khawaja Khalid,Kim, Chul-Hwan,Khan, Saad Ullah,Haider, Zunaib Maqsood IEEE 2018 IEEE transactions on power systems Vol.33 No.6

<P>In this paper, a multiagent clustering-based distributed approach for the optimal planning of wind-distributed generators (DGs) and switched capacitor banks (SCBs) is proposed. First, electrical distance matrices for the power systems are constructed. Additionally, a constrained optimization problem, which includes several indices and a few constraints, for the optimal clustering of distribution networks is formulated and solved. After obtaining optimal clusters, agents are assigned to the clusters, and a second multiobjective optimization problem (MOOP) for the distributed planning of wind DGs and SCBs is formulated and assigned to a head agent. The number of objective functions in the MOOP is equal to the number of agents. The objective function of an agent consists of three indices: annual energy losses, investment costs, and voltage enhancement. Moreover, a deep neural network architecture is designed, and four independent networks are trained with six years of wind speed data for the seasonal wind speed forecasting. Two IEEE unbalanced test feeders, one with 37 nodes and the other with 123 nodes, and eight test cases are considered for simulations. The results show that losses and costs are optimized, and the voltage unbalance of the system is reduced.</P>

A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns

Mehmood, R.M.,Lee, H.J. Pergamon Press ; Elsevier Science Ltd 2016 Computers & electrical engineering Vol.53 No.-

<P>Several methods for collecting psychophysiological data from humans have been developed, including galvanic skin response (GSR), electromyography (EMG), electroencephalography (EEG), and the electrocardiogram (ECG). This paper proposes a feature extraction method for emotion recognition in EEG-based human brain signals. In this research, emotions were elicited from subjects using emotion-related stimuli from the International Affective Picture System (IAPS) database. We selected four kinds of emotional stimuli in the arousal-valence domain. Raw brain signals were preprocessed using independent component analysis (ICA) to remove artifacts. We introduced a feature extraction method using LPP, and implemented a benchmark based on statistical and frequency domain features. The LPP-based results show the highest accuracy when using SVM in the all-selected feature set. The results also provide evidence and suggest a way for further developing a more specialized emotion recognition system using brain signals. (C) 2016 Elsevier Ltd. All rights reserved.</P>

혼합형 태양조명 시스템의 효율적 적용을 통한 에너지절약 및 온실 가스 배출 감소 연구

Mehmood Uzair Muhammad,임상훈(Lim Sang Hoon),한현주(Han Hyun Joo),문성호(Moon Sung Ho),천원기(Chun Wongee) 한국에너지기후변화학회 2019 한국에너지기후변화학회 학술대회 Vol.2019 No.05

Comparative Analysis of Consumer's Impulse Buying Behavior with Different Household Incomes : Empirical Evidence from Faisalabad

Mehmood, Sana,Hamid, Kashif East Asia Business Economics Association 2017 East asian journal of business management Vol.5 No.2

In today's highly unpredictable marketing environment, where the consumer demands and behaviors are continuously and rapidly changing therefore various factors of consumer impulse buying behavior are proving to be challenging for the existing and new business organizations. Shopping has become a relaxing and rejoicing activity for the consumers making impulsive buying as a socially acceptable and common practice. So by taking into account all these aspects, the objective of this study was to understand the factors affecting impulse buying behavior of the consumer. Store atmosphere and fashion involvement were selected as independent variables while consumer impulse buying behavior was taken as dependent variable for this study. Likewise, impulse buying behavior of consumers with different monthly household income was also analyzed in this study. Primary data was collected through a questionnaire from 250 respondents of district Faisalabad, and then it was analyzed by using various statistical techniques. The results indicated a significant positive impact of store atmosphere and fashion involvement on consumer impulse buying behavior. The study also revealed that among consumer groups with different household incomes; at least one group differed from others in impulse buying behavior. These results were consistent with previous literature. These results could provide information to the marketers and retailers for planning and execution of various marketing techniques. Moreover, educators could expand on the findings by developing new studies examining consumer impulse buying behavior.

A novel high performance configuration of electrochemical cell to produce alkali for sequestration of carbon dioxide

Mehmood, A.,Iqbal, M.I.,Lee, J.Y.,Hwang, J.,Jung, K.D.,Ha, H.Y. Pergamon Press 2016 ELECTROCHIMICA ACTA Vol.219 No.-

We propose a new configuration of a 3-compartment electrochemical cell for producing alkali that is subsequently utilized for mineralization of carbon dioxide. In this new membrane configuration, a second cation exchange membrane (CEM) replaces the anion exchange membrane (AEM) employed in a standard cell configuration. The electrochemical cell comprising of two cation exchange membranes (a CEM-CEM system) eliminates the issues associated with the AEM such as low ionic conductivity and inferior mechanical strength. All of tested CEM-CEM combinations exhibit superior electrochemical performance with considerable reduction of energy requirement for NaOH production in comparison to the standard AEM-CEM configuration. The optimized two-CEMs-based system presents a remarkable enhancement of output current density by 2.5-fold and a substantial input energy savings up to 740kWhton<SUP>-1</SUP> for mineralization of carbon dioxide to produce sodium carbonate.

Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Mehmood, Kashif,Niaz, Muhammad Tabish,Kim, Hyung Seok Hindawi Limited 2018 WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Vol.2018 No.-

<P>Nonorthogonal multiple access (NOMA) is one of the few promising techniques that can ensure the achievement of benefits foreseen in next-generation 5G wireless networks and beyond. By using superposition coding, NOMA allows multiple users to share the same time and frequency resources, thereby enhancing user connectivity, spectral efficiency, and a considerable increase in user throughput. Interference mitigation is an important consideration in NOMA and is considerably more influencing in multicellular environments. First, a brief description of the impairments that can arise in a NOMA cellular network along with responsible factors is provided. Second, different approaches adopted to minimize these impairments are discussed. Finally, a possible solution is proposed that consists of a coordinated approach between the individual cells in the NOMA domain to minimize interferences and improve user throughput. Adaptive fractional frequency reuse (FFR) is used to allocate distinct frequency resources to edge users of different cells to minimize intercell interference in NOMA. Simulation results prove that the proposed NOMA scheme plays an important role in minimizing impairment effects and enhancing the SINR and the throughput performance of edge users while ensuring fairness in its design.</P>