• International conference on construction engineering and project management
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• 2005.10a
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• pp.1065-1069
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• 2005

The construction failures can be decreased through continuous improvement of construction process based upon the information of construction failures. Herein, the information of construction failures can be utilized as the key factor for identifying and enhancing various ineffective construction processes that can prevent failures. This research proposes a process model for the continuous improvement of construction processes by using construction failure information. Extensive reviews and analyses of literatures related to construction failures are performed to investigate its definition, type, cause, and lessons learned. This research adapts process modeling methodology and case-based reasoning for the development of the proposed CIMCP(continuous improvement model of construction process), and then suggests its framework that contains modules of case retrieval, case index, and case adaptation.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.544-548
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• 2015

As urbanization increases in UAE, the demand for housing and infrastructures also grows. The challenge is to continue to build but in a different way considering more energy-efficient sustainable buildings. Producing a sustainable design is highly dependent upon effective participation among the diverse parties involved. In the construction industry in the UAE, these parties are fragmented due to the multistage nature of construction projects and multidisciplinary participants, particularly during the design stage. The decisions made during this stage have an extensive impact on subsequent stages of a project's life cycle. Having a sustainability expert during the design stage is important and the awareness of sustainability requirements by all design participants is of equal importance. In this research, recent advances in information technology are used to develop an information model that will improve the sustainability of building during the design stage. An information framework for storing design information and sustainability performance criteria is developed, allowing design participants to collaborate in an integrated environment. This research is expected to help designers produce sustainable designs for building projects.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.27 no.3
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• pp.227-240
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• 2023

Hilar cholangiocarcinomas are highly aggressive malignancies. They are usually at an advanced stage at initial presentation. Surgical resection with negative margins is the standard of management. It provides the only chance of cure. Liver transplantation has increased the number of 'curative' procedures for cases previously considered to be unresectable. Meticulous and thorough preoperative planning is required to prevent fatal post-operative complications. Extended resection procedures, including hepatic trisectionectomy for Bismuth type IV tumors, hepatopancreaticoduodenectomy for tumors with extensive longitudinal spread, and combined vascular resection with reconstruction for tumors involving hepatic vascular structures, are challenging procedures with surgical indications expanded. Liver transplantation after the standardization of a neoadjuvant protocol described by the Mayo Clinic has increased the number of patients who can undergo operation.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.205-211
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• 2024

Effective warehouse management requires advanced resource planning to optimize profits and space. Robots offer a promising solution, but their effectiveness relies on embedded artificial intelligence. Multi-agent reinforcement learning (MARL) enhances robot intelligence in these environments. This study explores various MARL algorithms using the Multi-Robot Warehouse Environment (RWARE) to determine their suitability for warehouse resource planning. Our findings show that cooperative MARL is essential for effective warehouse management. IA2C outperforms MAA2C and VDA2C on smaller maps, while VDA2C excels on larger maps. IA2C's decentralized approach, focusing on cooperation over collaboration, allows for higher reward collection in smaller environments. However, as map size increases, reward collection decreases due to the need for extensive exploration. This study highlights the importance of selecting the appropriate MARL algorithm based on the specific warehouse environment's requirements and scale.

• Journal of Internet Technology
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• v.20 no.4
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• pp.1157-1166
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• 2019

A Wireless Body Area Network (WBAN) allows the seamless integration of miniaturized sensor nodes in or around a human body, which may cause damage to the surrounding body issue due to high temperature. Although various temperature aware routing protocols have been proposed to prevent temperature rise of sensor nodes, most of them accommodate single traffic transmission with no mobility support. We propose a Forwarder based Temperature Aware Routing Protocol (FTAR) that supports multiple traffic transmission for normal and critical data. Normal data is forwarded directly to the sink through forwarding nodes which are selected among mobile nodes attached to the arms and legs, while critical data is forwarded to the sink through static nodes attached to fixed body parts with no mobility. We conduct extensive simulations of FTAR, and conclude that FTAR has good performance in terms of hot spot generation ratio, hot spot duration time, and packet delivery ratio.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.415-422
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• 2024

Recent advances in construction automation have led to increased use of deep learning-based computer vision technology for construction monitoring. However, monitoring systems based on supervised learning struggle with recognizing complex risk factors in construction environments, highlighting the need for adaptable solutions. Large multimodal models, pretrained on extensive image-text datasets, present a promising solution with their capability to recognize diverse objects and extract semantic information. This paper proposes a methodology that generates training data for multimodal models, including safety-centric descriptions using GPT-4V, and fine-tunes the LLaVA model using the LoRA method. Experimental results from seven construction site hazard scenarios show that the fine-tuned model accurately assesses safety status in images. These findings underscore the proposed approach's effectiveness in enhancing construction site safety monitoring and illustrate the potential of large multimodal models to tackle domain-specific challenges.

• International Journal of Highway Engineering
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• v.17 no.4
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• pp.117-126
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• 2015

PURPOSES : This study aims to investigate the direct and indirect influence areas from incidents on urban interrupted roadways and to develop traffic management strategies for each influence area. METHODS : Based on a literature review, various traffic management strategies for certain incidents were collected. In addition, the relationship between the measure of effectiveness and the characteristics of incidents was explored using an extensive simulation study. RESULTS : From the simulation studies, traffic delays increased as the number of lane closures increased, and the impact of lane closures was reduced to the direction upstream from the incident site. However, the magnitude of the delay change depended on the degree of saturation. Using these characteristics, the direct and indirect influence areas resulting from incidents were defined, and traffic management strategies were established for each direct and indirect influence area and for each level of incident. CONCLUSIONS: The results of this study will contribute to the improvement of national traffic safety by preventing secondary incidents and by effective adaptation to incident events.

• Journal of Environmental Health Sciences
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• v.46 no.5
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• pp.610-626
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• 2020

Objectives: This study aims to investigate the concept of microplastics and their occurrence, transport, biological effects, and management methods in the ocean. Methods: I reviewed articles on microplastics in the ocean by using the Google Scholar database. Results: Plastic litter has been reported as a ubiquitous pollutant in the ocean due to the extensive consumption of plastics and the mismanagement of plastic wastes. Microplastics are generally defined as synthetic polymer particles <5 mm in size. Microplastics generated from the degradation of plastic litter are currently a serious global concern since they spread easily all over the ocean, transfer to different tissues inside contaminated animals, and even across different trophic levels inside the food web. An additional concern is the ability of microplastics to adsorb organic and inorganic pollutants and subsequently release them into the ocean. Thus, alternatives to reduce microplastics in the ocean are discussed. Conclusions: This paper summarizes the concept of microplastics and their behavior in the ocean and suggests management methods for microplastics in support of a cleaner ocean.

• The Journal of Information Technology
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• v.7 no.4
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• pp.47-60
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• 2004

The main purpose of the present study are as follows: First, through the extensive literature review, we tried to find out environmental changes in the management thoughts. Second, as we found a new paradigm on valuation-oriented management thoughts, we argued that cost/management accounting information should play key roles in creating values. Third, we pointed out that when firms used only financial performance measurements, problems could take places. Finally, especially to promote the organizational effectiveness and efficiency, we stressed that firms should use the balanced scorecard approach in performance measurements of its own organizations and personnels.

• Journal of Korean Critical Care Nursing
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• v.2 no.1
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• pp.26-35
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• 2009

Purpose: This paper reviews current diagnostic evaluation, treatment, nursing considerations, and the nurse practitioner’s (NP) role in acute ischemic stroke care. Methods: National guidelines and extensive literature on acute stroke care were reviewed and a relevant clinical case was introduced. Results: Computerized tomography (CT) of the head without contrast is the initial brain imaging procedure for patients with an acute stroke. Magnetic resonance imaging (MRI) can be an alternative test. Restoration of cerebral perfusion to the affected area is a key therapeutic strategy for ischemic stroke. A number of treatment strategies such as thrombolysis, anticoagulation, antiplatelet, and surgical treatment can be selected to improve blood flow to the ischemic region. The NP on the stroke team is involved with immediate stroke management including neurological assessment, ensuring adequate oxygenation, blood pressure management, activity, and diet. Discharge planning with the patient, family teaching and coordination of follow up care should also be implemented early in the hospitalization. Conclusion: The nurse practitioner is one of the cardinal members on the stroke team, and must be updated with current treatment and management guidelines.