• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.8
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• pp.60-64
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• 2007

In this paper, we designed FFT for European DTV and implemented system with Stratix EP1S25F672C6 FPGA At the implemented FFT, we used SIC architecture. SIC architecture is composed of algorithm-specific processing element, RAM memory, registers, and a central or distributed control unit. Designed FFT was acceptable either 2K or 8K point FFT processing, and is selectable guard interval such as 1/4, 1/8, 1/16, 1/32. Consequently, it was suitable for the standard of DVB-T(Digital Terrestrial Video Transmission System) specification. It resulted in 12% of total logic gate and 53% of total memory bit in Stratix device.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4776-4798
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• 2015

The location selection of virtual machines in distributed cloud is difficult because of the physical resource distribution, allocation of multi-dimensional resources, and resource unit cost. In this study, we propose a multi-object virtual machine location selection algorithm (MOVMLSA) based on group information, doubly linked list structure and genetic algorithm. On the basis of the collaboration of multi-dimensional resources, a fitness function is designed using fuzzy logic control parameters, which can be used to optimize search space solutions. In the location selection process, an orderly information code based on group and resource information can be generated by adopting the memory mechanism of biological immune systems. This approach, along with the dominant elite strategy, enables the updating of the population. The tournament selection method is used to optimize the operator mechanisms of the single-point crossover and X-point mutation during the population selection. Such a method can be used to obtain an optimal solution for the rapid location selection of virtual machines. Experimental results show that the proposed algorithm is effective in reducing the number of used physical machines and in improving the resource utilization of physical machines. The algorithm improves the utilization degree of multi-dimensional resource synergy and reduces the comprehensive unit cost of resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.7
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• pp.2914-2935
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• 2016

With the increasing popularization of cloud computing, how to reduce physical energy consumption and increase resource utilization while maintaining system performance has become a research hotspot of virtual machine deployment in cloud platform. Although some related researches have been reported to solve this problem, most of them used the traditional heuristic algorithm based on greedy algorithm and only considered effect of single-dimensional resource (CPU or Memory) on energy consumption. With considerations to multi-dimensional resource utilization, this paper analyzed impact of multi-dimensional resources on energy consumption of cloud computation. A multi-dimensional resource constraint that could maintain normal system operation was proposed. Later, a novel virtual machine deployment method (NVMDM) based on improved particle swarm optimization (IPSO) and Euclidean distance was put forward. It deals with problems like how to generate the initial particle swarm through the improved first-fit algorithm based on resource constraint (IFFABRC), how to define measure standard of credibility of individual and global optimal solutions of particles by combining with Bayesian transform, and how to define fitness function of particle swarm according to the multi-dimensional resource constraint relationship. The proposed NVMDM was proved superior to existing heuristic algorithm in developing performances of physical machines. It could improve utilization of CPU, memory, disk and bandwidth effectively and control task execution time of users within the range of resource constraint.

• Animal cells and systems
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• v.7 no.3
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• pp.237-248
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• 2003

Recent evidence on behaviors in macaque monkeys indicate that the medial temporal cortical areas such as the entorhinal cortex (EC), perirhinal cortex, and parahippocampal cortex (PHC) are importantly involved in limbic and sensory memory function. Neuroanatomical studies also have demonstrated that the medial temporal cortical areas are connected with the ventral striatum, although comparatively little is known about the precise topography of these connections. We investigated the topographic organization of connections between the medial temporal cortical areas and the ventral striatum by placing retrograde tracers into five different regions of the ventral striatum: the ventromedial caudate nucleus, ventral shell, central shell, dorsal core of the nucleus accumbens (NA), and ventrolateral putamen. We found that the shell of the NA was the main projection site from the medial temporal cortical areas. Within the shell of the NA, there were also differential connections: EC diffusely innervates shell of the NA, while the projections from the perirhinal cortex and PHC concentrate on the ventral shell of the NA. Taken together, it is possible that the ventral shell of the NA is the main integration site of the limbic and sensory memory coming from the EC, perirhinal cortex, and PHC.

• The Korean Journal of Food & Health Convergence
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• v.9 no.1
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• pp.1-9
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• 2023

Polygala Tenuifolia, also described as Yuan Zhi, is a conventional botanic plant found in Korea and China. It's most well- known promise is to improve cognition and guard against mental disorders, cure sputum, anxiety, and sleeplessness, and keep the central nervous system health. The pharmacological aspects of Polygala Tenuifolia's genesis and component compounds reveal the neuroprotective potential in connection to Alzheimer's disease. It contains three herbs: Bokshin, Sukchangpo, and Wongi. P. Tenuifolia's primary ingredients are Xanthone glycosides, Triterpenoid saponins, and Oligosaccharides. Polygalasaponins and Etrahydrocolumbamine are the major components, and they've been widely used for more than a century to relieve mood and psychological illnesses, particularly in North Asian countries such as Korea, China, Japan, and Taiwan. P. Tenuifolia extract eliminates allergic illnesses such as eczema and contact dermatitis by modulating Protein kinase-A and Mitogen-protein kinase-38. In vitro and in vivo studies linking P. tenuifolia root ingredients to a variety of pharmacological effects pertinent to AD show that this species' isolates may function through polyvalency. In great health, people can take up to 250-300 mg per day. It was given in peer-reviewed studies at dosages of 100-150 mg many times each day. There is minimal evidence that it improves verbal memory in experimental animals.

• Smart Structures and Systems
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• v.32 no.3
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• pp.179-193
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• 2023

This study explores an alternative to the existing centralized process for data anomaly detection in modern Internet of Things (IoT)-based structural health monitoring (SHM) systems. An edge intelligence framework is proposed for the early detection and classification of various data anomalies facilitating quality enhancement of acquired data before transmitting to a central system. State-of-the-art deep neural network pruning techniques are investigated and compared aiming to significantly reduce the network size so that it can run efficiently on resource-constrained edge devices such as wireless smart sensors. Further, depthwise separable convolution (DSC) is invoked, the integration of which with advanced structural pruning methods exhibited superior compression capability. Last but not least, quantization-aware training (QAT) is adopted for faster processing and lower memory and power consumption. The proposed edge intelligence framework will eventually lead to reduced network overload and latency. This will enable intelligent self-adaptation strategies to be employed to timely deal with a faulty sensor, minimizing the wasteful use of power, memory, and other resources in wireless smart sensors, increasing efficiency, and reducing maintenance costs for modern smart SHM systems. This study presents a theoretical foundation for the proposed framework, the validation of which through actual field trials is a scope for future work.

• Biomolecules & Therapeutics
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• v.32 no.3
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• pp.309-318
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• 2024

Compared to other organs, the brain has limited antioxidant defenses. In particular, the hippocampus is the central region for learning and memory and is highly susceptible to oxidative stress. Glial cells are the most abundant cells in the brain, and sustained glial cell activation is critical to the neuroinflammation that aggravates neuropathology and neurotoxicity. Therefore, regulating glial cell activation is a promising neurotherapeutic treatment. Quinic acid (QA) and its derivatives possess anti-oxidant and anti-inflammatory properties. Although previous studies have evidenced QA's benefit on the brain, in vivo and in vitro analyses of its anti-oxidant and anti-inflammatory properties in glial cells have yet to be established. This study investigated QA's rescue effect in lipopolysaccharide (LPS)-induced behavior impairment. Orally administering QA restored social impairment and LPS-induced spatial and fear memory. In addition, QA inhibited proinflammatory mediator, oxidative stress marker, and mitogen-activated protein kinase (MAPK) activation in the LPS-injected hippocampus. QA inhibited nitrite release and extracellular signal-regulated kinase (ERK) phosphorylation in LPS-stimulated astrocytes. Collectively, QA restored impaired neuroinflammation-induced behavior by regulating proinflammatory mediator and ERK activation in astrocytes, demonstrating its potential as a therapeutic agent for neuroinflammation-induced brain disease treatments.

• Korean Journal of Veterinary Service
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• v.34 no.1
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• pp.45-54
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• 2011

This study was conducted to investigate the distribution of Salmonella spp. from pigs and cattle in slaughterhouse, the antimicrobial resistance pattern and the prevalence of resistance genes of isolates. A total of 640 fecal samples from pigs and cattle in slaughterhouse were collected for isolation of Salmonella spp.. Isolation rate was revealed as 15% in pigs and 1.6% in cattle. As result of serotyping, group B (56.6%) were identified as most common in pigs and cattle isolates, in order of group C (24.5%) and group E (15.1%). S. Typhimurium (50.9%) was most common serotype. The major serotypes were in order of S. Rissen and S. London (11.3%) and S. Riggil (7.6%). In antimicrobial test, all isolates were demonstrates susceptibility to nitrofurantoin. But isolates were revealed resistance other antibiotics in order of tetracycline (64.6%), streptomycin (68.3%), ampicillin and amoxicillin (56.3%) and spectinomycin (47.9%). With polymerase chain reaction, antimicrobial resistance gene strA (75.0%) and aadA1 (3.1%) were detected in streptomycin resistance isolates and tetA (94.3%) and tetB (11.3%) gene were detected in tetracycline resistant isolates, but tetG was not detected. Class 1 integron gene was detected in all Salmonella isolates.

• Korean Journal of Medicinal Crop Science
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• v.22 no.1
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• pp.46-52
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• 2014

In traditional Korean and Chinese medicine, safflower (Carthamus tinctorius L.) for the treatment of central nervous system-related symptoms such as tremor, seizure, stroke and epilepsy. We investigated the effects of safflower could influence cerebral ischemia-induced neuronal and cognitive impairments. Administration of safflower for 1 day (200 mg/kg body weight, p.o.) increased the survival of hippocampal CA1 pyramidal neurons after transient global brain ischemia. And neurological functions measured as short term memory. Post-treatment with safflower for 2 times decreased the induction/reduction - induced production of neuronal cell loss from global cerebral ischemia. Safflower markedly decreased neuronal cell death and also caused a decrease in the content of thiobarbituric acid-reacting substances (TBARS) ($55.2{\pm}9.4{\mu}mol\;mg^{-1}$) and significant improvement of activities of glutathione (GSH) ($27.2{\pm}5.0{\mu}mol\;mg^{-1}$) in hippocampus. We conclude that treatment with safflower attenuated learning and memory deficits, and neuronal cell loss induced by global cerebral ischemia. These results suggest that safflower may be a potential candidate for the treatment of vascular dementia.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.1-12
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• 2021

In this paper, we propose a tool called ARCAV (Atomatic Recovery of CUDA Atomicity violation) to automatically repair atomicity violations in GPU (Graphics Processing Unit) program. ARCAV monitors information of every barrier and memory to make actual memory writes occur at the end of the barrier region or to make the program execute barrier region again. Existing methods do not repair atomicity violations but only detect the atomicity violations in GPU programs because GPU programs generally do not support lock and sleep instructions which are necessary for repairing the atomicity violations. Proposed ARCAV is designed for GPU execution model. ARCAV detects and repairs four patterns of atomicity violations which represent real-world cases. Moreover, ARCAV is independent of memory hierarchy and thread configuration. Our experiments show that the performance of ARCAV is stable regardless of the number of threads or blocks. The overhead of ARCAV is evaluated using four real-world kernels, and its slowdown is 2.1x, in average, of native execution time.