• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.373-373
• /
• 2021

Rainfall forecasting is an important issue that is applied in many areas, such as agriculture, flood warning, and water resources management. In this context, this study proposed a statistical and machine learning-based forecasting model for monthly rainfall. The Bayesian Gaussian process was chosen to optimize the hyperparameters of the Stacked Long Short-term memory (SLSTM) model. The proposed SLSTM model was applied for predicting monthly precipitation of Seoul station, South Korea. Data were retrieved from the Korea Meteorological Administration (KMA) in the period between 1960 and 2019. Four schemes were examined in this study: (i) prediction with only rainfall; (ii) with deseasonalized rainfall; (iii) with rainfall and minimum temperature; (iv) with deseasonalized rainfall and minimum temperature. The error of predicted rainfall based on the root mean squared error (RMSE), 16-17 mm, is relatively small compared with the average monthly rainfall at Seoul station is 117mm. The results showed scheme (iv) gives the best prediction result. Therefore, this approach is more straightforward than the hydrological and hydraulic models, which request much more input data. The result indicated that a deep learning network could be applied successfully in the hydrology field. Overall, the proposed method is promising, given a good solution for rainfall prediction.

• Journal of Science Education
• /
• v.36 no.2
• /
• pp.167-185
• /
• 2012

This study aimed at finding points of improvement in teaching expertise by analyzing the question patterns that appeared during teaching demonstrations which applied science teaching models prepared by a pre-service biology teacher. The question analysis frame for analyzing question types were categorized largely into the question types of Category 1 (questions in cognitive domain, questions with research function, questions in affective domain), Category 2 (repeated questions, questions for narrowing the range, practice questions), and Category 3 (questions on student activity progress, memory questions, and thinking questions). The results of analyzing question patterns from five different science teaching models revealed a high frequency of questions in the fields of cognition and memory. For the circular learning model, questions from the cognitive field appeared the most often, while, student activity progressive questions in particular were used mostly in the 'preliminary concept introduction stage' of the circular learning model and the 'secondary exploratory stage', in which experiments were conducted, and displayed the characteristics of these stages. The discovery learning model combined the courses of observation, measurement, classification and generalization, but, during teaching demonstrations, memory questions turned up the most, while the portion of inquisitive function questions was low. There were many questions from the inquisitive learning model, and, compared to other learning models, many exploratory function questions turned up during the 'experiment planning stage' and 'experiment stage'. Definitional questions and thought questions for the STS learning model turned up more than other learning models. During the change of concept learning model, the five concepts of students were stimulated and the modification of scientific concepts was very much aided by using many memory questions.

• Korean Journal of Pharmacognosy
• /
• v.47 no.4
• /
• pp.319-326
• /
• 2016

We investigated the effect of Selaginella tamariscina extract on the learning and memory impairments in scopolamine-induced (5 mg/kg, i.p.) dementia rats. Rats treated with oral tacrin (20 mg/kg, p.o.) as positive control group and S. tamariscina extract 100, 200mg/kg, p. o. (SME 100, SME 200) as experimental group had significantly reduced scopolamine-induced memory deficits in the passive avoidance test. The acetylcholine content were paralleled the results of the behavior experiment. The acetylcholine contents of the experimental groups (SME 200 group) was higher than that of control group. We also evaluated expression of VAchT, vesicular acetylcholine transporter. SME was significantly increased VAchT expression on hippocampus of scopolamine-induced dementia rats. We suggest that S. tamariscina might exert a significantly neuro-protective effect on cognitive impairment.

• The Korea Journal of Herbology
• /
• v.21 no.4
• /
• pp.207-212
• /
• 2006

Objectives : This study was designed to investigate the effect of aromatherapy using rosemary on memory for college students. Methods : This study used equivalent control group pretest-posttest design. The subjects of this experiment consisted of thirty college students. Fifteen college students were in the experimental and control group each. As a treatment, intervention using rosemary aromatic candles was applied. Data was analyzed by SPSS Program. Results : List learning and verbal span were significantly improve in the experimental group (P=0.013, P=0.017, respectively). There was no significant difference between the two groups in others. Conclusion : These findings indicate that aromatherapy using rosemary could be effective in improving list learning and verbal span.

• The Journal of Pediatrics of Korean Medicine
• /
• v.13 no.2
• /
• pp.93-110
• /
• 1999

The intelligence is the capacity to recognize the things and implies the meaning of abstract thought, learning and adaptability to the circumstance. Recently, as the promotion of learning ablility and memory attracts many people's attention, many studies of this have been accomplished but the pharmacological methods could not promote the intelligence and memory. In oriental medical theory, the human body is composed of four elements - essence, energy, sprit, blood and among these elements, sprit is considered as the concept of vital energy and mind. Especially, from the Jang-Fu physiological point of view, the memory is closly related with the heart and kidney In oriental medicine, some experiments on animal and literature studies on the subject of memory promotion have done. But because of difference in memory mechanism between man and animal, it is not in reason to apply the result of experiment on animal to human. Therefore I have methodological study of memory promotion to set up the concept of oriental medicine and experimental theory about this and can obtain such conclusion. 1. The oriental medical therapy for memory promotion is following. nourishing the heart and blood, regulating the function of spleen, relieving the mental stress, reinforcing the heart and kidney, invigorating and enriching the blood. 2. The insufficient intelligence in a child is considered to not be full and in an old man, it is considered to decline by degrees. 3. It is needed to molecular biological study of neurotransmitter after the using of oriental medical therapy. 4. It is possible to study using the genetic mutation or observing the collateral of brain nerve cell.

• Research in Vestibular Science
• /
• v.17 no.4
• /
• pp.134-141
• /
• 2018

Objectives: We aimed to study the role of vestibular input on spatial memory performance in mice that had undergone bilateral surgical labyrinthectomy, semicircular canal (SCC) occlusion and 4G hypergravity exposure. Methods: Twelve to 16 weeks old ICR mice (n=30) were used for the experiment. The experimental group divided into 3 groups. One group had undergone bilateral chemical labyrinthectomy, and the other group had performed SCC occlusion surgery, and the last group was exposed to 4G hypergravity for 2 weeks. The movement of mice was recorded using camera in Y maze which had 3 radial arms (35 cm long, 7 cm high, 10 cm wide). We counted the number of visiting arms and analyzed the information of arm selection using program we developed before and after procedure. Results: The bilateral labyrinthectomy group which semicircular canal and otolithic function was impaired showed low behavioral performance and spacial memory. The semicircular canal occlusion with $CO_2$ laser group which only semicircular canal function was impaired showed no difference in performance activity and spatial memory. However the hypergravity exposure group in which only otolithic function impaired showed spatial memory function was affected but the behavioral performance was spared. The impairment of spatial memory recovered after a few days after exposure in hypergravity group. Conclusions: This spatial memory function was affected by bilateral vestibular loss. Space-related information processing seems to be determined by otolithic organ information rather than semicircular canals. Due to otolithic function impairment, spatial learning was impaired after exposure to gravity changes in animals and this impaired performance was compensated after normal gravity exposure.

• 제어로봇시스템학회:학술대회논문집
• /
• 1996.10b
• /
• pp.936-939
• /
• 1996

In this paper, two specially designed associative mapping memories, called Associative Mapping Elements(AME) and Multiple-Digit Overlapping AME(MDO-AME), are presented for learning of nonlinear functions including kinematics and dynamics of robot manipulators. The proposed associative mapping memories consist of associative mapping rules(AMR) and weight update rules(WUR) which guarantee generalization and specialization of input-output relationship of learned nonlinear functions. Two simulation results, one for supervised learning and the other for unsupervised learning, are given to demonstrate the effectiveness of the proposed associative mapping memories.

• International Journal of Computer Science & Network Security
• /
• v.22 no.5
• /
• pp.327-329
• /
• 2022

Education is affected by technical and scientific developments. Progress in one of these areas leads give way to new educational methods and strategies. One of these advanced learning modes is what has been conventionally termed as Micro-learning (ML). It has emerged in educational technology as a result of advances in information technology as well as advances in research in memory, brain, and social-cognitive processes.In this paper, the researcher discusses micro-learning in terms of its concepts, tools, and associated concepts, advantages and disadvantages.

• Journal of Information Processing Systems
• /
• v.14 no.2
• /
• pp.499-509
• /
• 2018

Recently, hybrid transactional memory (HyTM) has gained much interest from researchers because it combines the advantages of hardware transactional memory (HTM) and software transactional memory (STM). To provide the concurrency control of transactions, the existing HyTM-based studies use a bloom filter. However, they fail to overcome the typical false positive errors of a bloom filter. Though the existing studies use a global lock, the efficiency of global lock-based memory allocation is significantly low in multi-core environment. In this paper, we propose an efficient hybrid transactional memory scheme using near-optimal retry computation and sophisticated memory management in order to efficiently process transactions in multi-core environment. First, we propose a near-optimal retry computation algorithm that provides an efficient HTM configuration using machine learning algorithms, according to the characteristic of a given workload. Second, we provide an efficient concurrency control for transactions in different environments by using a sophisticated bloom filter. Third, we propose a memory management scheme being optimized for the CPU cache line, in order to provide a fast transaction processing. Finally, it is shown from our performance evaluation that our HyTM scheme achieves up to 2.5 times better performance by using the Stanford transactional applications for multi-processing (STAMP) benchmarks than the state-of-the-art algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.3
• /
• pp.837-852
• /
• 2021

Recurrent neural network (RNN) architectures have been used for language modeling (LM) tasks that require learning long-range word or character sequences. However, the RNN architecture is still suffered from unstable gradients on long-range sequences. To address the issue of long-range sequences, an attention mechanism has been used, showing state-of-the-art (SOTA) performance in all LM tasks. A differentiable neural computer (DNC) is a deep learning architecture using an attention mechanism. The DNC architecture is a neural network augmented with a content-addressable external memory. However, in the write operation, some information unrelated to the input word remains in memory. Moreover, DNCs have been found to perform poorly with low numbers of weight parameters. Therefore, we propose a robust memory deallocation method using a limited retention vector. The limited retention vector determines whether the network increases or decreases its usage of information in external memory according to a threshold. We experimentally evaluate the robustness of a DNC implementing the proposed approach according to the size of the controller and external memory on the enwik8 LM task. When we decreased the number of weight parameters by 32.47%, the proposed DNC showed a low bits-per-character (BPC) degradation of 4.30%, demonstrating the effectiveness of our approach in language modeling tasks.