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본 연구는 화성 기상 데이터를 대상으로 활성화 함수와 어텐션 메커니즘이 시계열 모델의 성능에 미치는 영향을 평가하기 위해 비교 및 분석한다. 화성의 기상 데이터는 대기 밀도가 낮고, 급격한 온도 변동 및 복잡한 지형 등으로 인해 비선형적이고 불규칙적이다. 본 연구에서는 LSTM, BiLSTM, GRU, BiGRU 아키텍처를 사용하여 다양한 활성화 함수와 어텐션 메커니즘의 효과를 평가한다. 실험에 사용된 활성화 함수는 ReLU, Leaky ReLU, ELU, GELU, Swish, SELU이며, 모델 성능은 MAE와 RMSE 지표로 측정된다. 실험 결과, 어텐션 메커니즘을 통합함으로써 MAE와 RMSE 가 모두 향상되었으며, Swish와 ReLU는 최저 온도 예측에서 가장 우수한 성능을 보였다. 반면, GELU와 ELU는 기압 예측에서 성능이 저하되었다. 이러한 결과는 복잡한 시계열 예측의 모델 정확도를 향상하기 위해 적절한 활성 함수와 어텐션 메커니즘을 선택하는 것이 중요함을 보여준다.

In this paper, we propose a comparative analysis to evaluate the impact of activation functions and attention mechanisms on the performance of time-series models for Mars meteorological data. Mars meteorological data are nonlinear and irregular due to low atmospheric density, rapid temperature variations, and complex terrain. We use long short-term memory (LSTM), bidirectional LSTM (BiLSTM), gated recurrent unit (GRU), and bidirectional GRU (BiGRU) architectures to evaluate the effectiveness of different activation functions and attention mechanisms. The activation functions tested include rectified linear unit (ReLU), leaky ReLU, exponential linear unit (ELU), Gaussian error linear unit (GELU), Swish, and scaled ELU (SELU), and model performance was measured using mean absolute error (MAE) and root mean square error (RMSE) metrics. Our results show that the integration of attentional mechanisms improves both MAE and RMSE, with Swish and ReLU achieving the best performance for minimum temperature prediction. Conversely, GELU and ELU were less effective for pressure prediction. These results highlight the critical role of selecting appropriate activation functions and attention mechanisms in improving model accuracy for complex time-series forecasting.

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Comparative analysis of RNN architectures and activation functions with attention mechanisms for mars weather prediction Jaehyeok Jo, Yunho Sin, Bo-Young Kim, Jihoon Moon p. 1-9
Research on constructing a sentiment lexicon for the F&B sector based on the N-gram framework Yeryung Moon, Gaeun Son, Geonuk Nam, Hanjin Lee p. 11-19
Medical image denoising using wavelet transform-based CNN model Seoyun Jang, Dong Hoon Lim p. 21-34
3D object detection via multi-scale feature knowledge distillation Se-Gwon Cheon, Hyuk-Jin Shin, Seung-Hwan Bae p. 35-45
Multiple camera-based real-time long queue vision algorithm for public safety and efficiency Tae-hoon Kim, Ji-young Na, Ji-won Yoon, Se-Hun Lee, Jun-ho Ahn p. 47-57
Radio frequency-based drone detection and classification using discrete Fourier transform and LightGBM Ki-Hyeon Sung, Soo-Jin Lee p. 59-68
(A) study on the impact of noise on YOLO-based object detection in autonomous driving environments Ra Yeong Kim, Hyun-Jong Cha, Ah Reum Kang p. 69-75
(A) study on measuring the risk of re-identification of personal information in conversational text data using AI Dong-Hyun Kim, Ye-Seul Cho, Tae-Jong Kim p. 77-87
Real-time defog processing using cooperative networks Sanghyun Jung p. 89-96
(The) method for classifying stainless steel grades in products using portable NIR spectrometer and CNN Ju-Hoon Jang, In-Yeop Choi p. 97-104
Named entity normalization for traditional herbal formula mentions Ho Jang p. 105-111
Exploring predictive models for student success in national physical therapy examination : machine learning approach Bokyung Kim, Yeonseop Lee, Jang-hoon Shin, Yusung Jang, Wansuk Choi p. 113-120
(A) temporal convolutional network for hotel demand prediction based on NSGA3 feature selection Keehyun Park, Gyeongho Jung, Hyunchul Ahn p. 121-128
(A) design and implementation of a worker musculoskeletal assessment platform based on machine learning Sejong Lee p. 129-135
(A) YOLOv8-based two-stage framework for non-destructive detection of Varroa destructor infestations in Apis mellifera colonies Yongsun Lee, Hyunsu Cho, Bo-Young Kim, Jihoon Moon p. 137-148
Implementation of a micro drill bit foreign matter inspection system using deep learning Jung-Sub Kim, Tae-Sung Kim, Gyu-Seok Lee p. 149-156
(A) particle-grid method for efficient sound synthesis of ocean waves Jong-Hyun Kim p. 157-164
Towards next generation game development : a comprehensive analysis of game engines technologies Soo Kyun Kim, Iqbal Muhamad Ali, Min Woo Ha p. 165-173
(An) empirical study on visitors’ experiences with the <Game Society> Bo-A Rhee, You-min Im, So-Eun Park p. 175-184
(A) study on visitor engagement of the audio guide and curating-bot at museum of modern and contemporary art Bo-A Rhee, Ye-Eun Seo, Yeon-U Ro, Gyu-Hyun Kim p. 185-195
Research perspectives and research issues on the origins of Korean technology culture : focusing on amateur radio Sangkil Yoon p. 197-205
Development of a model for identifying drug organizations and their scale through tweet clustering Jin-Gyeong Kim, Eun-Young Park, DaSol Kim, Cho-Won Kim, Jiyeon Kim p. 207-218
(A) library for object-to-graph mapping with annotations in Java Ji-Woong Choi p. 219-228
(The) impact of disability acceptance on life satisfaction : focusing on the mediating effect of self-efficacy and the moderating effect of the degree of participation in social activities Hyung-Hee Kim p. 229-236
(The) effect of cultural values between countries on the entrepreneurial cognition and attitude Xu Haichao, Yunkyung Lee, Youngsik Kwak p. 237-243
Analysis of the relationship between university facilities and student satisfaction with campus life using structural equation modeling : verification of the mediating effect of university and department pride Jae-Nam Kim, Seong-Eun Chu p. 245-253
Effect of a career education program using portfolio on career maturity and self-efficacy of female college students Jung-chul Heo p. 255-264
(The) relationship between streaming hits view and sales performance in live streaming commerce Jong-Hee Jeong, Jae-Ik Shin p. 265-274
(The) effect of artificial intelligence-based educational app on writing ability of first graders of elementary school Sojeong Choi, Kwihoon Kim p. 275-286

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