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TRAN VAN HOA 한국경제연구학회 2004 Korea and the World Economy Vol.5 No.2
The Korean economy had achieved economic ‘miracles’ in the past, but it currently faces many challenges, economically and politically (Tran Van Hoa, 2002), compounded by a global economic slowdown with hesitant recovery (IMF, 2004), terrorist attacks, regional wars, the SARS and avian flu outbreaks in Asia, and domestic and global uncertainty ahead. The paper introduces the extended gravity theory to construct a simple flexible simultaneous-equation econometric model of Korea trade and growth with its major trading partners, and provides efficient empirical results on its trade-growth causality and trade determination over the past two decades. Based on these findings, economic policy challenges are then targeted for study and solution development.
Hoa Thi Tran,Giang Thu Nguyen,Hong Ha Thi Nguyen,Huyen Thi Tran,Quang Hong Tran,Quang Ho Tran,Ngoc Thi Ninh,Phat Tien Do,Ha Hoang Chu,Ngoc Bich Pham 한국균학회 2022 Mycobiology Vol.50 No.5
Endophytic fungi are promising sources for the production of podophyllotoxin-an important anticancer compound, replacing depleted medical plants. In this study, the endophytes asso- ciated with Dysosma difformis-an ethnomedicinal plant species were isolated to explore novel sources of podophyllotoxin. Fifty-three endophytic fungi were isolated and identified by morphological observation and ITS-based rDNA sequencing, assigning them to 27 genera in 3 divisions. Fusarium was found the most prevalent genus with a colonization frequency of 11.11%, followed by Trametes (9.26%) and Penicillium (7.41%). Phylogenetic trees were constructed for the endophytic fungi community in two collection sites, Ha Giang and Lai Chau, revealing the adaptation of the species to the specific tissues and habitats. Cytotoxic activity of endophytic fungal extracts was investigated on cancer cell lines such as SK-LU-1, HL-60, and HepG2, demonstrating strong anti-cancer activity of six isolates belonging to Penicillium, Trametes, Purpureocillium, Aspergillus, and Ganoderma with IC50 value of lower than 10 mg/mL. The presence of podophyllotoxin was indicated in Penicillium, Trametes, Aspergillus and for the first time in Purpureocillium and Ganoderma via high-performance liquid chromatography, which implied them as a potential source of this anti- cancer compound.
DISCO: Distributed Computation Offloading Framework for Fog Computing Networks
Tran, Hoa Dang,Kim, Dong-Seong 한국통신학회 2023 Journal of communications and networks Vol.25 No.1
Fog computing networks have been widely inte-grated in IoT-based systems to improve the quality of services(QoS) such as low response service delay through efficientoffloading algorithms. However, designing an efficient offloadingsolution is still facing many challenges including the complicatedheterogeneity of fog computing devices and complex computationtasks. In addition, the need for a scalable and distributed algo-rithm with low computational complexity can be unachievableby global optimization approaches with centralized informationmanagement in the dense fog networks. In these regards, thispaper proposes a distributed computation offloading framework(DISCO) for offloading the splittable tasks using matchingtheory. Through the extensive simulation analysis, the proposedapproaches show potential advantages in reducing the averagedelay significantly in the systems compared to some relatedworks.
Tran, Hoa Dang,Kim, Dong-Seong 한국통신학회 2023 Journal of communications and networks Vol.25 No.2
Fog computing systems have been widely integratedin IoT-based applications to improve quality of services (QoS)such as low response service delays. This improvement is enabledby task offloading schemes, which perform task computation nearthe task generation sources (i.e., IoT devices) on behalf of remotecloud servers. However, reducing delay remains challenging foroffloading strategies owing to the resource limitations of fogdevices. In addition, a high rate of task requests combined withheavy tasks (i.e., large task size) may cause a high imbalance ofthe workload distribution among the heterogeneous fog devices,which severely impacts the offloading performance in terms ofdelay. To address these issues, this paper proposes a dynamiccollaborative task offloading (DCTO) approach, which is basedon the resource states of fog devices, to dynamically derive thetask offloading policy. Accordingly, a task can be executed byeither a single fog or multiple fog devices through the parallelcomputation of subtasks to reduce the task execution delay. Through extensive simulation analysis, the proposed offloadingsolution showed potential advantages in reducing the averagedelay significantly in systems with a high rate of service requestsand heterogeneous fog environment compared with the existingsolutions. In addition, the proposed scheme can be implementedonline owing to its low computational complexity compared withthe algorithms proposed in related works
Data Forwarding Algorithm in Lossy Wireless Sensor Networks
Tran Dang Hoa(트란 당 호아),Dong-Sung Kim(김동성) 대한전자공학회 2011 대한전자공학회 학술대회 Vol.2011 No.12
This paper proposes a novel forwarding algorithm for lossy wireless sensor networks (WSNs), which increases network performance in terms of received traffic at the sink (R0 pcakets/s) and network lifeline. Due to lossy wireless links, each sensor node forms around itself three different communication regions, each characterized by different packet reception rate (PRRs). An optimal forwarding algorithm is derived by solving a linear programming problem (LPP) with the objective of maximizing R0 while satisfyung the essential constraint of balancing energy consumption. From the results of the LPP, a new metric combining hop distance (HD) and PRR was developed to formulate a novel forwarding algorithm called direct and multi-hop data forwarding with lossy awareness (DMFLLA) algorithm. The results of simulation indicate that the Proposed DMFLLA algorithm outperforms the conventional algorithms with respect to R0 and network lifetime.
Tran N. Hoa,S. Khatir,G. De Roeck,Nguyen N. Long,Bui T. Thanh,M. Abdel Wahab 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.25 No.4
This paper proposes a novel approach to model updating for a large-scale cable-stayed bridge based on ambient vibration tests coupled with a hybrid metaheuristic search algorithm. Vibration measurements are carried out under excitation sources of passing vehicles and wind. Based on the measured structural dynamic characteristics, a finite element (FE) model is updated. For long-span bridges, ambient vibration test (AVT) is the most effective vibration testing technique because ambient excitation is freely available, whereas a forced vibration test (FVT) requires considerable efforts to install actuators such as shakers to produce measurable responses. Particle swarm optimization (PSO) is a famous metaheuristic algorithm applied successfully in numerous fields over the last decades. However, PSO has big drawbacks that may decrease its efficiency in tackling the optimization problems. A possible drawback of PSO is premature convergence leading to low convergence level, particularly in complicated multi-peak search issues. On the other hand, PSO not only depends crucially on the quality of initial populations, but also it is impossible to improve the quality of new generations. If the positions of initial particles are far from the global best, it may be difficult to seek the best solution. To overcome the drawbacks of PSO, we propose a hybrid algorithm combining GA with an improved PSO (HGAIPSO). Two striking characteristics of HGAIPSO are briefly described as follows: (1) because of possessing crossover and mutation operators, GA is applied to generate the initial elite populations and (2) those populations are then employed to seek the best solution based on the global search capacity of IPSO that can tackle the problem of premature convergence of PSO. The results show that HGAIPSO not only identifies uncertain parameters of the considered bridge accurately, but also outperforms than PSO, improved PSO (IPSO), and a combination of GA and PSO (HGAPSO) in terms of convergence level and accuracy.