International Journal of Case Studies (ISSN Online 2305-509X)

VOLUME 11, ISSUE 8
IMPACT FACTOR 4.428

1) The Role of Digital Transformation Strategy and Information Technology Capacity for Exporters in Vietnam
Author Details: Quang Nam Le-Ha Tinh Urban Construction Environment Joint Stock Company
Abstract:
Digital transformation and information science and technology capacity in enterprises are understood as the integration and application of digital technology to improve business efficiency, management efficiency, improve capacity, competitiveness of enterprises and create new values. This study aims to assess and analyze opportunities and challenges for business activities of Vietnamese exporters in the context of digital transformation, thereby, making recommendations to promote the performance of Vietnamese enterprises in the coming time.
Keywords: Digital transformation, information technology capacity, Vietnam
[Download Full Paper] [Page 01-08]
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2) Fire Detection for Automated Firefighting Robot by using EfficientDet
Author’s Details: ⁽¹⁾Anh P.T. Nguyen-Faculty of Automation-Hanoi Univ of Science and Technology Hanoi- Vietnam Orcid:0000-0001-9838-9971 ⁽²⁾Son Hoang-Faculty of Electro-Mechanics and Civilization-Vietnam National University of Forest Hanoi- Vietnam ⁽³⁾Nguyen X. Nguyen-Electrical Department-Hanoi College of Electro-Mechanics Hanoi- Vietnam ⁽⁴⁾Huy M. Nguyen-AI & Robotics Laboratory-Hanoi Univ of Science and Technology Hanoi- Vietnam ⁽⁵⁾Thanh Nguyen-Foreign Language Specialized School Vietnam National University
Hanoi-⁽⁶⁾Dan D. Hoang-AI & Robotics Laboratory-Hanoi Univ of Science and Technology Hanoi- Vietnam 
Abstract:
Fire accidents are one of the leading hazards endangering human life, the economy, and the environment. Fires outbreak will lead the firefighters on duty facing with dangers. Smart firefighting systems with Artificial Intelligence may provide safety measures and minimize loose from hazardous fire accidents. Vision-based Mobile robots which can work autonomously or be controlled from a safe distance are good candidate to extinguish fire and rescue victims without risking the life of the firefighter. In this study, we developed a firefighting mobile robot with crawler drive which can move on various terrains, especially can climb up/down in upstairs for firefighting tasks. In order to integrate with vision- based control unit of the firefighting robot, a Deep Convolution Neural Netwwork (DCNN) EfficientDet has been applied to detect fire and smoke regions. Augmentation and transfer learning techniques have been utilized to cope with limitation of fire dataset for training. After training process, the achieved model has been transplanted to a Jetson Nano for real-time smoke and fire detection. The experimental results verify the effectiveness of the proposed fire detector in real-time detection with high mean average precision. Vision-based control unit has been designed to control the robot moving to the proximity of fire regions.
Keywords: firefighting robot, convolution neural network, EfficientDet, transfer learning, fire detection.
[Download Full Paper] [Page 09-18]
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3) The Market for Electricity Generators in Lebanon: Demand Functions and Pricing Strategy
Author’s Details: Samih Antoine Azar-Full Professor-Faculty of Business Administration & Economics, Haigazian University, Mexique Street, Kantari, Beirut, Lebanon
Abstract:
The purpose of the present case is to build up and study a theoretical approach to the market of electricity generators in Lebanon. This private market, which is largely unregulated, has lately co-existed with the formal and state-owned natural monopoly of electricity, Électricité du Liban. The reasoning is based on postulating demand functions for electricity, and carrying out a maximization of net profits. In some other instances maximization of revenue is the criterion. The demand functions are specified both linearly and multiplicatively. The variables of interest are the equilibrium price, the revenue per subscriber, the profit per subscriber, the cost per subscriber, the service level, and the Internal Rate of Return (IRR). The paper considers both partial and round-the-clock private provision of electricity. The latter is much less profitable and will not be selected, even if it is technically feasible. To be realistic the modeling assumes a two-tier pricing policy. In addition second-order price discrimination is contemplated, and its monetary advantage is measured.
Keywords:electricity generators, demand for electricity, linear and multiplicative functions, profit maximization, revenue maximization, equilibrium price, subscriber characteristics, service level, profitability (IRR), price discrimination
[Download Full Paper] [Page 19-23]
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