• Steel and Composite Structures
• /
• v.51 no.1
• /
• pp.25-41
• /
• 2024

The measurement of pile bearing capacity is crucial for the design of pile foundations, where in-situ tests could be costly and time needed. The primary objective of this research was to investigate the potential use of fuzzy-based techniques to anticipate the maximum weight that concrete driven piles might bear. Despite the existence of several suggested designs, there is a scarcity of specialized studies on the exploration of adaptive neuro-fuzzy inference systems (ANFIS) for the estimation of pile bearing capacity. This paper presents the introduction and validation of a novel technique that integrates the fire hawk optimizer (FHO) and equilibrium optimizer (EO) with the ANFIS, referred to as ANFIS_FHO and ANFIS_EO, respectively. A comprehensive compilation of 472 static load test results for driven piles was located within the database. The recommended framework was built, validated, and tested using the training set (70%), validation set (15%), and testing set (15%) of the dataset, accordingly. Moreover, the sensitivity analysis is performed in order to determine the impact of each input on the output. The results show that ANFIS_FHO and ANFIS_EO both have amazing potential for precisely calculating pile bearing capacity. The R² values obtained for ANFIS_FHO were 0.9817, 0.9753, and 0.9823 for the training, validating, and testing phases. The findings of the examination of uncertainty showed that the ANFIS_FHO system had less uncertainty than the ANFIS_EO model. The research found that the ANFIS_FHO model provides a more satisfactory estimation of the bearing capacity of concrete driven piles when considering various performance evaluations and comparing it with existing literature.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.4
• /
• pp.47-54
• /
• 2024

The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

• Smart Structures and Systems
• /
• v.20 no.1
• /
• pp.61-74
• /
• 2017

One of the most reliable and simplest tools for structural vibration control in civil engineering is Tuned Mass Damper, TMD. Provided that the frequency and damping parameters of these dampers are tuned appropriately, they can reduce the vibrations of the structure through their generated inertia forces, as they vibrate continuously. To achieve the optimal parameters of TMD, many different methods have been provided so far. In old approaches, some formulas have been offered based on simplifying models and their applied loadings while novel procedures need to model structures completely in order to obtain TMD parameters. In this paper, with regard to the nonlinear decision-making of fuzzy systems and their enough ability to cope with different unreliability, a method is proposed. Furthermore, by taking advantage of both old and new methods a fuzzy system is designed to be operational and reduce uncertainties related to models and applied loads. To design fuzzy system, it is required to gain data on structures and optimum parameters of TMDs corresponding to these structures. This information is obtained through modeling MDOF systems with various numbers of stories subjected to far and near field earthquakes. The design of the fuzzy systems is performed by three methods: look-up table, the data space grid-partitioning, and clustering. After that, rule weights of Mamdani fuzzy system using the look-up table are optimized through genetic algorithm and rule weights of Sugeno fuzzy system designed based on grid-partitioning methods and clustering data are optimized through ANFIS (Adaptive Neuro-Fuzzy Inference System). By comparing these methods, it is observed that the fuzzy system technique based on data clustering has an efficient function to predict the optimal parameters of TMDs. In this method, average of errors in estimating frequency and damping ratio is close to zero. Also, standard deviation of frequency errors and damping ratio errors decrease by 78% and 4.1% respectively in comparison with the look-up table method. While, this reductions compared to the grid partitioning method are 2.2% and 1.8% respectively. In this research, TMD parameters are estimated for a 15-degree of freedom structure based on designed fuzzy system and are compared to parameters obtained from the genetic algorithm and empirical relations. The progress up to 1.9% and 2% under far-field earthquakes and 0.4% and 2.2% under near-field earthquakes is obtained in decreasing respectively roof maximum displacement and its RMS ratio through fuzzy system method compared to those obtained by empirical relations.

• Science of Emotion and Sensibility
• /
• v.23 no.1
• /
• pp.89-102
• /
• 2020

This study aimed to compare the effects of two emotion regulation strategies, namely, cognitive reappraisal and expressive suppression in female college students. Specifically, the effects of these two emotion regulation strategies were tested and the intrapersonal factors related to the effects of these strategies were explored. The participants included 60 female college students. In Study 1, 40 participants were randomly assigned to each of the two different strategy groups, i.e., a between-subject design was employed. In Study 2, 20 participants were asked to use both strategies to regulate their emotion, i.e., a within-subject design was employed. The results revealed that both emotion regulation strategies effectively reduced negative emotion of emotional stimuli. However, the use of emotion regulation assessed with a questionnaire was not matched to the actual usage of regulation strategies examined with a task. Finally, the use of a suppression strategy was related to the extroversion psychological adaptive variable. Our findings suggest that the subjective assessment of the use of an emotion regulation strategy may not be the same as the actual use of an emotion regulation strategy. Furthermore, we demonstrated that when participants have an option to use both strategies, the cognitive reappraisal is more functional than expression suppression. This concurs with the previous findings on the effects of emotion regulation strategies.

• Korean Journal of Adult Nursing
• /
• v.13 no.1
• /
• pp.15-28
• /
• 2001

The purpose of this study was to identify the trends of resourcefulness researche studies for suggesting the future direction of study. Study design, types of subjects, measurement tools, study concept, and outcome were examined by reviewing 61 research studies published from 1980 to 1999. The results were as follows: 1. There were 24 works in the 1980s and 37 works in 1990, according to the published year of resourcefulness study. Nonexperimental studies like descriptive study, correlational study and comparative study were more frequent than experimental studies. 2. Research studies that consisted of 30- 100 subjects were the most numerous with 27 studies in all. The majority of study subjects was shown as healthy students and depressive patients. 3. Most studies used Rosenbaum's Self Control Schedule(SCS) for assessing resourcefulness. Reliabilities of resourcefulness researches were cronbach ${\alpha}=.70$ or more. According to statisitical tests done for internal validity, SCS was negatively correlated to maladaptation. Factor analysis revealed that the most parsimonious structure was 3 to 6 factors. The total communality variance in the SCS was about 40 %. Other tools used with the SCS were about coping, depression, satisfaction of life and symptoms, self management and health promotion. 4. In correlational studies, concepts like depression, anxiety, and psychological symptoms were related to resourcefulness negatively. Adaptive functioning, life satisfaction and self achievement had positive correlations to resourcefulness. 5. Studies on comparison between a healthy person and depressive patient or smoker and non-smoker were done. There were coping, depression, symptom, self efficacy, health problem and self-control as comparative concepts. 6. Study subjects consisted of depressive patients in 9 of 18 experimental studies. The majority of studies were done with cognitive-behavioral therapy as an experimental intervention. The most effective treatment was revealed in high resourcefulness group. Since the above findings, resourcefulness research increased since 1980 and mostly non-experimental design for quantitative study were done. In the field of nursing, research about resourcefulness was in an initial stage. It is expected that further research needed to be done. Recommendations on the basis of the present research suggest that it is necessary to replicate studies, develop nursing intervention enhancing resourcefulness and apply it to patients with chronic diseases including cancer.

• The Korean Journal of Rehabilitation Nursing
• /
• v.2 no.1
• /
• pp.95-108
• /
• 1999

The purpose of this study was to identify the effect of the humor intervention program, administred to the hemodialysis patient as an adaptive coping mechanism. The research design was non-equivalent control group non-synchronized design. The study method had been done by investigating the experimental group and control group through the questionnaire on 36 patients who had been out patient hemodialysis room at B hospital in Pusan from August 18 to September 15, 1998. The humor intervention program consisted of 1 TV comedy, 1 home video and 1 comedy film. The humor intervention program was provided to the experimental group for 20-30 minute 3 times every other day at hemodialysis room. Dependent variables were measured by Spielberger's State Anxiety Inventory, Zung's Self Rating Depression Scale, Lefcourt & s Humor Coping Scale. The analysis of the collected data had been done for the hemogeneity test in which general characteristics of the experimental group and the control group had been tested by $X^2$-test and the hemogeneity test had been tested by t-test before using the humor intervention program which is for anxiety, depression and coping of humor. To test the hypothesis the t-test had been given for the difference of anxiety, depression and coping of humor between the two groups. The result were summarized as follows : 1. Anxiety score in the experimental group and control group was not significant difference. 2. Depression score in the experimental group and control group was not significant difference. 3. Coping of humor score in the experimental group and control group was not significant difference. In conclusion, even though humor intervention program did not have any efficient effect on hemodialysis patients in reacting to anxiety, depression and coping humor, it caused very positive reactions from patients, and it also reducted anxiety of patients among the experimental group a little bit. If this program could be sufficiently applied ac cording to the character of every patients with a little bit different appliences such as selection of humor intervention program, frequency and period, it will be used as an efficient the humor intervention program.

• Korean Journal of Optics and Photonics
• /
• v.24 no.5
• /
• pp.231-236
• /
• 2013

We investigated the optical design of a smart headlamp capable of producing various beam patterns through only on/off modulation of light sources. This was implemented by forming a continuous matrix of beams from discontinuous beam patterns by means of a multi-array LED optical system. As one such optical system, the multi-array LED system is a convenient and economical device for implementing beam patterns with the simple on/off modulation of the light sources. A single optical assembly module can be made by combining a multiple-LED array, optical system module, and electronic control with no need for any additional mechanical components. The present optical system was designed to include a secondary lens and a projection lens mounted at the front of each LED in the array to realize accurate lighting patterns as well as the required luminosity at a distance of 25 m in the forward direction. Finally, we identified and analyzed the patterns implemented by the designed optical system that produced satisfactory performance of high beams and adaptive driving beams (ADB).

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.9
• /
• pp.2109-2116
• /
• 2014

This paper presents the implementation and design of the advanced WI-FI systems with beam-forming antenna that radiate their power to the direction of user equipment to improve the overall throughput, contrast to the general WI-FI systems equipped with omni-antenna. The system consists of patch array antenna, DSP, FPGA, and Qualcomm's commercial chip. The beam-forming system on the FPGA utilizes the packet information from Qualcomm's commercial chip to control the phase shifters and attenuators of the patch array antenna. The PCI express interface has been used to maximize the communication speed between DSP and FPGA. The directions of arrival of users are managed using the database, and each user is distinguished by the MAC address given from the packet information. When the system wants to transmit a packet to one user, it forms beams to the direction of arrival of the corresponding user stored in the database to maximize the throughput. Directions of arrival of users are estimated using the received preamble in the packet to make its SINR as high as possible. The proposed beam-forming system was implemented using an FPGA and Qualcommm's commercial chip together. The implemented system showed considerable throughput improvement over the existing general AP system with omni-directional antenna in the multi-user communication environment.

• Journal of the Korean Society for Precision Engineering
• /
• v.30 no.1
• /
• pp.11-17
• /
• 2013

'Multi-scale mass-deployable cooperative robots' is a next generation robotics paradigm where a large number of robots that vary in size cooperate in a hierarchical fashion to collect information in various environments. While this paradigm can exhibit the effective solution for exploration of the wide area consisting of various types of terrain, its technical maturity is still in its infant state and many technical hurdles should be resolved to realize this paradigm. In this paper, we propose to develop new design and manufacturing methodologies for the multi-scale mass-deployable cooperative robots. In doing so, we present various fundamental technologies in four different research fields. (1) Adaptable design methods consist of compliant mechanisms and hierarchical structures which provide robots with a unified way to overcome various and irregular terrains. (2) Soft composite materials realize the compliancy in these structures. (3) Multi-scale integrative manufacturing techniques are convergence of traditional methods for producing various sized robots assembled by such materials. Finally, (4) the control and communication techniques for the massive swarm robot systems enable multiple functionally simple robots to accomplish the complex job by effective job distribution.

• Journal of Advanced Navigation Technology
• /
• v.25 no.5
• /
• pp.426-432
• /
• 2021

Continuous wave (CW) Doppler radar has the advantage of being able to solve the privacy problem unlike camera and obtains signals in a non-contact manner. Therefore, this paper proposes a human activity recognition (HAR) system using CW Doppler radar, and presents the hardware design and implementation results for acceleration. CW Doppler radar measures signals for continuous operation of human. In order to obtain a single motion spectrogram from continuous signals, an algorithm for counting the number of movements is proposed. In addition, in order to minimize the computational complexity and memory usage, binarized neural network (BNN) was used to classify human motions, and the accuracy of 94% was shown. To accelerate the complex operations of BNN, the FPGA-based BNN accelerator was designed and implemented. The proposed HAR system was implemented using 7,673 logics, 12,105 registers, 10,211 combinational ALUTs, and 18.7 Kb of block memory. As a result of performance evaluation, the operation speed was improved by 99.97% compared to the software implementation.