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Israr AHMAD,Shuhymee Bin AHMAD 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4
The study aims to investigate the mediating effect of strategic planning on the relationship between managerial skills and the performance of small- and medium-sized enterprises (SMEs) in Punjab, Pakistan. Stratified proportionate probability sample method was used to select the 265 SMEs. The study applied a structural equation model (SEM) to analyze the proposed research hypotheses by using PLS-SEM. This research examines the direct and indirect effects of strategic planning on the performance of SMEs using the SEM test. The results indicate the positive effect of managerial skills on SMEs’ performance and also suggested that strategic planning mediates the relationship between managerial skills and SMEs’ performance. In addition, the role of managerial skills on the usage of the company’s resources is highly influential through strategic planning. Strategic planning has been found to impact significantly and positively on the relationship between managerial skills and performance of SMEs in Punjab, Pakistan. The findings suggested that, in devising appropriate strategies for SMEs, the effect of managerial skills on the utilization of the firm’s resources can be more effective to the firm’s performance. In short, the utilization of a firm’s resources through a proper planning is more essential for the sustainability of SMEs.
Akhter Israr,Jalal Ahmad,Kim Kibum 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5
To understand daily events accurately, adaptive pose estimation (APE) systems require a robust context-aware model and optimal feature selection methods. In this paper, we propose a novel gait event detection (GED) system that consists of saliency silhouette detection, a robust body parts model and a 2D stick-model followed by a hierarchical optimization algorithm. Furthermore, the most prominent context-aware features such as energy, 0–180° intensity and distinct moveable features are proposed by focusing on invariant and localized characteristics of human postures in diff erent event classes. Finally, we apply Grey Wolf optimization and a genetic algorithm to discriminate complex postures and to provide appropriate labels to each event. In order to evaluate the performance of proposed GED, two public benchmark datasets, UCF101 and YouTube, are examined via the n -fold cross validation method. For the two benchmark datasets, our proposed method detects the human body key points with 82.4% and 83.2% accuracy respectively. Also, it extracts the context-aware features and fi nally recognizes the gait events with 82.6% and 85.0% accuracy, respectively. Compared with other well-known statistical and state-of-the-art methods, our proposed method outperforms other similarly tasked methods in terms of posture detection and recognition accuracy.
Forensic SNP Genotyping with SNaPshot: Development of a Novel In-house SBE Multiplex SNP Assay,
Zar, Mian Sahib,Shahid, Ahmad Ali,Shahzad, Muhammad Saqib,Shin, Kyoung-Jin,Lee, Hwan Young,Lee, Sang-Seob,Israr, Muhammad,Wiegand, Peter,Kulstein, Galina Wiley (Blackwell Publishing) 2018 Journal of forensic sciences Vol.63 No.6
Application of Forest Optimization Algorithm for the Resource Constraint Project Scheduling
Anik Yuesti,Rizqy Amalia Putri,Hussein Tuama Hazim,Oleg N. Polukhin,Hendrixon,Israr AHMAD,Tzu-Chia Chen,Vo Hoang Ca,Huynh Tan Hoi,Surendar Aravindhan 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Project scheduling is one of the most complex yet important issues in project-based planning. Scheduling is a topic that has entered the project from the production space and has been considered by many researchers in recent years. This problem has always faced many challenges due to its complex limitations in the real world. One of these issues is resource scheduling, known in optimization as the RCPSP problem. The study's main aim is to investigate the applica-tion of a forest optimization algorithm for resource constraint project scheduling. In this research, the RCPSP problem is optimized. A mathematical model is then proposed and then optimized using meteorological algorithms for forest optimization and refrigeration simulation. A hybrid meta-algorithm has also been developed for this document. Examination and comparisons of this algorithm show that the proposed method has the necessary efficiency both in terms of speed and quality of solutions.