AUV based Precise Seabed Mapping with a Wave Energy-harvesting Surface Vehicle

조한길 포항공과대학교 일반대학원 (창의IT융합공학과) 2019 국내박사

The AUVs have a wide range of applications and are being deployed for various purposes in an oceanographic survey, geoscience, military surveillance, and industrial areas. However, in most cases, the AUVs have preprogrammed a plan to follow a preset route of waypoints and there are few reasoning and adapting for changes against an unexpected situation even in case of the commercial AUVs. To reach a higher intelligence level for AUV technology, the AUVs must perceive the surroundings and infer their current states based on the perceived information. For underwater perception, vision-based sensors are widely used but have limits to use in water due to rapid wavelength-dependent attenuation of light by water. With consideration for the water turbidity, sonars are a generic solution for underwater sensing. Compared to vision-based sensors, the lack of information of sonar data is indisputable: the loss of elevation information, perceptual ambiguity, and a high proportion of outlier, which complicate sonar data processing and three-dimensional (3D) map building. Another issue on AUV exploration is about connectivity. The AUVs should be connected to a network for sharing the data obtained from onboard sensors and intervention for high-level work. Therefore the subsea data can be transmitted to the air only via a relay station on the surface such as relay buoys. To overcome the issues, we propose a sustainable connected AUV system that consists of an AUV and surface vehicle. The AUV is able to perceive the environment regardless of water turbidity. The surface vehicle has affordable electrical payload for long-range data communication and maneuvering for relocation. The two vehicles are interlinked via acoustic communication. For the perception, sonar-based mapping is proposed, and for the electrical payload of the surface vehicle, a novel wave energy harvesting device is developed. First, we present a three-dimensional (3D) mapping method in one-way rectilinear scanning with an autonomous underwater vehicle (AUV) equipped with a forward-looking sonar (FLS) and a profiling sonar (PS). Our approach is to use an additional sonar and fuse acoustic measurements provided by the two sonar sensors. The FLS has a high resolution in a horizontal scan but has an uncertainty in the vertical direction. On the other hand, the PS provides a reliable vertical profile but its beam width is extremely narrow. An initial map is generated by the FLS and refined by combining vertical scan data provided by the PS. Second, a novel surface vehicle was proposed to support a long-term survey of AUV by harvesting wave energy. We proposed a wave energy converter called the wave turbine system (WTS) and verified the feasibility of the proposed system. To verify the proposed mechanism and identify the system parameters, we developed a hydrodynamic model for the WTS and simulated its behavior and power generation capability. From the quantitative simulation, optimal system parameters were analyzed. To check the reliability of the simulation result, we carried out verification tests in a water tank, and the simulation result was verified. Finally, The hardware systems for an AUV named Cyclops and an energy-harvesting surface vehicle were developed. The proposed method is implemented in the developed system and to demonstrate the validity and effectiveness of the proposed method, we conducted a series of tests in a water tank and also at sea. The total system was integrated, and validity was demonstrated through the sea trial.

Impaired Mammalian Epimorphic Regeneration in the Absence of Adaptive Immunity

이지은 포항공과대학교 융합대학원 2025 국내석사

Regeneration refers to the restoration of damaged tissues or organs to their original structure and function. While mammals exhibit limited regenerative capabilities, digit tip regeneration represents a rare example of epimorphic regeneration, characterized by the formation of a blastema, a mass of undifferentiated cells. This study investigates the role of adaptive immunity in mammalian digit tip regeneration using Rag1-KO mice, which lack functional adaptive immunity. Immunostaining revealed the presence of T cells during digit tip regeneration, suggesting their involvement in the process. In Rag1-KO mice, the absence of adaptive immunity led to reduced nail area and shortened digit tip length. These external changes were accompanied by internal structural deficits, including a reduced mesenchymal area and impaired bone regeneration, characterized by diminished volume and weakness. Single-cell RNA sequencing further demonstrated decreased mesenchymal cell proliferation and late-stage osteogenic differentiation in Rag1-KO mice, confirming that the absence of adaptive immunity influences proliferation and differentiation of blastema. Furthermore, the absence of adaptive immunity resulted in increased infiltration of innate immunity, including macrophages and neutrophils, disrupting the blastema microenvironment. These findings suggest that adaptive immunity indirectly regulates proliferation and differentiation of blastema by modulating innate immunity. This study provides important insights into the role of adaptive immunity in mammalian epimorphic regeneration and offers potential directions for enhancing regenerative outcomes in mammals.

Human Action Recognition and Classification in Extreme Conditions

김정윤 포항공과대학교 융합대학원 2025 국내석사

최근 이미지 분류 모델은 필요한 각자의 상황에 따라 우수한 성능과 정확도를 자랑한다. 주목할 부분은 대부분의 분류 모델에서 사용하는 데이터셋은 대부분 높은 화질의 이미지 및 영상 자료이다. 하지만 군, 재난, 구조, 경계와 같이 특수한 상황에서의 Vision 데이터는 상대적으로 낮은 화질을 가지고 있다. 실제로 해상도, 밝기, 채도가 훌륭한 일반적인 데이터셋에서 80% 이상의 정확도를 보여주는 모델을 대상으로 인위적인 조정을 통해 데이터셋의 수준을 낮출 경우 20% 이하로 정확도가 크게 떨어졌음을 확인했다. 본 연구는 이러한 극단적인, 특수한 상황에서의 Human action recognition 성능을 보장하기 위한 방법을 제안한다. 먼저 기존 데이터셋의 해상도, 밝기, 채도를 인위적으로 조정하여 주어진 특수한 상황에서 획득하는 비전 데이터와 유사한 특성을 갖도록 한다. 이미지 분류 모델은 오리지널 데이터셋과 함께 해당 특성을 흡수한 데이터셋을 함께 학습함으로써 최적의 가중치를 얻고 주어진 상황에서도 성능을 보장하는 방법을 고안했다. 실제로 군 상황을 예로 들어 해상도, 밝기, 채도가 조정된 데이터셋을 함께 학습한 결과, 오리지널 데이터셋으로 학습 및 평가했을 때와 유사한 정확도로 회복하는 것을 확인했다. 이를 통해 특수한 상황에서 제한된 데이터의 부족을 보완하고, 전혀 새로운 도메인이나 사전 학습된 모델이 적합하지 않은 데이터셋에 대해서도 성능을 보장할 수 있다. 이는 군 뿐만 아니라 악천후 속의 재난 상황이나 국가 중요시설 감시, 경계 등의 여러 특수한 상황에서 유용하다. Recent advancements in image classification models have demonstrated remarkable performance and accuracy across diverse applications. These models are predominantly trained on high-quality image and video datasets, which serve as benchmarks for their capabilities. However, visual data captured in specialized scenarios, such as military operations, disaster response, or border surveillance, often suffers from lower quality due to challenging environmental conditions. Notably, our analysis revealed a significant drop in performance when the dataset quality was intentionally degraded—models that achieved over 80% accuracy on standard datasets with excellent resolution, brightness, and saturation saw their accuracy plummet to below 20% under these adjustments. This study proposes a novel approach to ensure reliable human action recognition performance in extreme and specialized scenarios. To achieve this, we artificially adjust the resolution, brightness, and saturation of existing datasets to emulate the characteristics of visual data captured in such challenging environments. By training image classification models on both the original dataset and the modified dataset, we derive optimal weights that maintain robust performance even under these adverse conditions. Using a military scenario as a case study, we demonstrate that incorporating the adjusted datasets during training restores accuracy to levels comparable to those achieved with the original dataset under standard conditions. This approach addresses the limitations posed by insufficient data in specialized scenarios, ensuring reliable performance even when datasets deviate significantly from pre-trained model domains or when entirely new domains are introduced. The proposed method proves applicable not only to military operations but also to other extreme situations such as disaster response under adverse weather conditions, surveillance of critical national infrastructure, and border security.

Factors Influencing Turnover and Job Satisfaction in Large Corporations : Organizational-Level Insights from Employee Online Reviews

류연수 포항공과대학교 융합대학원 소셜데이터사이언스전공 2025 국내석사

This study investigates the factors influencing turnover and job satisfaction in large corporations in South Korea, using organizational-level data derived from online employee reviews. By analyzing 83 companies across various industries, this research focuses on the roles of Perceived Organizational Support (POS), Career Plateau, and Job Satisfaction, with turnover rates measured at the organizational level through sustainability reports. Unlike prior studies that primarily examine turnover at the individual level or rely on turnover intentions as a proxy, this study uses aggregated metrics and actual voluntary turnover rates to provide a more objective and systemic perspective. The findings reveal that while POS and Career Plateau significantly influence Job Satisfaction, their direct effects on turnover are limited in the context of large corporations. This can be attributed to the unique structural and institutional characteristics of these organizations, such as superior salaries, comprehensive welfare policies, and structured career management systems, which mitigate the impact of POS and Career Plateau on turnover. Instead, Job Satisfaction emerges as a critical mediating variable, reinforcing its central role in turnover dynamics. To analyze the data, this study employed a Word2Vec-based vocabulary dictionary and K-Means clustering to process textual reviews from the Blind platform, followed by Structural Equation Modeling (SEM) to test the relationships among variables. The organizational-level focus of this research offers industry-wide insights, avoiding the limitations of small or homogeneous samples. By integrating computational methods with Social Exchange Theory (SET), this study provides a robust framework for examining turnover and job satisfaction in large organizational contexts, offering practical implications for corporate HR practices and future research directions.

Study on the establishment and characterization of a novel CD56dimCD62L+ natural killer cell line with distinct immunostimulatory potential derived from extra-nodal NK/T lymphoma

양현걸 포항공과대학교 일반대학원 (융합생명공학부) 2019 국내박사

자연살해세포는 직접적인 세포 독성과 면역 조절 잠재력을 가진 선천성 림프구이다. 이렇게 특화된 기능들과 몸을 지키는 역할 때문에 자연살해세포에 대한 연구와 활용법에 대한 관심이 커져 왔다. 하지만 높아진 관심에도 불구하고, 자연상태의 자연살해세포들의 특징들, 이를 테면 혈액 속에 적게 존재하고, ex vivo 증식이 제한적이며, 순수한 세포들을 분리하기 위한 기술적 한계 등으로 인해 보다 심도 깊은 연구가 어려웠다. 따라서 영구적인 자연살해세포주를 만드는 것은 이러한 한계들을 극복할 수 있는 해결책이 될 수 있다. 순수한 자연살해세포들을 무한정 공급이 가능하며, 사용하기 쉬울 뿐 아니라, 윤리적 문제에서도 자유롭기 때문에 과학적인 연구뿐 아니라 바이오의학 분야에 있어서도 귀중한 도구로 사용될 수 있다. 연구의 첫번째 파트에서는 새롭게 구축된 자연살해세포주인 NK101을 형태학, 면역표현형, 세포독성, 사이토카인/키모카인 분비의 관점에서 종합적으로 분석하였다. 기본적으로 NK101의 경우 자연적인 자연살해세포와 유사하게 대형과립림프구 세포의 형태와 전형적인 표면 마커 프로필을 보일 뿐 아니라, 독성 과립의 내재 및 자가 변형/손실에 대한 인식 능력과 같은 다른 주요 특징들 역시 가지고 있었다. 흥미롭게도 NK101은 특이적인 CD56dimCD62L+ 표현형을 가지고 있었는데, 이는 자연살해세포의 분화 과정 중, 중간 단계에 해당하는 소그룹의 특징들로 알려져 왔다. 실제로 NK101의 경우 앞서 확인한 면역 표현형뿐만 아니라, 기능적인 부분 역시 CD56dimCD62L+자연살해세포 소그룹을 대표하는 다중 기능 작용기 특성과 유사한 것을 확인되었다. 다시 말해 NK101은 사이토카인 자극에 의해 향상된 분열능력 및 인터페론 감마 분비 촉진을 보일 뿐만 아니라, 암세포를 직접적으로 인지하고 죽일 수 있는 다중 기능 작용기를 가지고 있음을 확인하였다. 이러한 결과들은 NK101이 앞서 언급한 자연적인 자연살해세포들의 여러 한계로 인해 거의 연구되지 못했던 희귀한 다중 기능 자연살해세포 소그룹을 연구하는데 있어 유용한 모델로 쓰일 수 있음을 보여주고 있다. 연구의 두번째 파트에서는 NK101이 종양치료를 위한 세포치료제 플랫폼으로 가능성이 있는지를 연구하였다. 현재까지 임상시험에 들어간 자연살해세포주의 경우 NK-92가 유일하기 때문에, NK101을 세포독성, 사이토카인 분비 특성, 유전자 발현 프로필, 생산성 측면에서 NK-92와 직접적으로 비교하였다. NK101의 경우 NK-92와 비교하여 낮은 세포독성을 보였는데, 이는 상대적으로 낮은 perforin과 granzyme B의 발현 때문으로 보인다. 대신 NK101에서 인터페론 감마 및 TNF-α와 같은 면역 반응을 촉진하는 사이토카인들이 NK-92에 비해 높게 발현되는 것을 확인하였다. 반면, IL-1ra나 IL-10과 같이 면역 반응을 억제하는 사이토카인들의 경우 NK101에서는 거의 발현되지 않는 반면 NK-92에서 매우 높게 발현되었다. 유사한 맥락으로 백혈구의 증식을 긍정적으로 조절하는 유전자들이 NK101에서 높게 발현되는 반면, 반대의 역할, 즉 백혈구의 증식을 억제하는 유전자들의 경우 NK-92에서 높게 발현되는 것을 확인하였다. 이러한 기능성/발현양상의 차이는 면역력이 보존된 4T1 종양 모델에서 잘 나타났다. NK101의 경우 강한 종양-특이적 면역 반응과 함께 NK-92보다 강한 항암 효과를 보였다. 이뿐 아니라 생산성 측면에서 NK-92와 비교해, NK101은 해동 이후 회복이 훨씬 빠를 뿐 아니라, 20일 배양 기준 200배가 넘는 성장 프로필을 보여주었다. 종합적으로, 본 연구는 NK101이라는 새로운 자연살해세포주가 희귀한 CD56dimCD62L+ 소그룹으로서 가지는 차별화된 특징들을 강조할 뿐만 아니라, 이들이 면역항암요법의 새로운 세포치료제로써 가능성이 있음을 시사한다. Natural killer (NK) cells are innate lymphocytes endowed with direct cytotoxicity and immunomodulatory potential. Specialized functions and roles for the host defense gives rise to attention for NK cell study and its applications. However, despite elevated interest in understanding NK cells, characteristics of primary NK cells such as scarcity in blood, limited ex vivo life span, and the technical challenges in isolating pure population constrain further extensive study. Thus, establishing permanent NK cell line could become a solution overcoming those limitations. It is limitless in supply, easy-to-use, no ethical concerns, and homogeneous population, being an invaluable tool not only in scientific research, but also in the field of biomedicine. In the first part of the study, a newly established NK cell line, NK101, was comprehensively characterized with regard to morphology, immunophenotype, cytotoxicity, and cytokines/chemokines secretion. Basically, NK101 resembled major features of natural NK cells including large-granular-lymphocyte morphology, typical surface marker profile, inclusion of cytolytic granules, and capacity of ‘missing-self’ recognition. Interestingly, NK101 had a unique CD56dimCD62L+ phenotype, which has been known as a feature of NK subset in the intermediate stage of differentiation. In agreement with the immunophenotypes, NK101 was verified to have polyfunctional effector properties that are representative of CD56dimCD62L+ NK subset. It displayed enhanced proliferation and interferon-γ secretion upon cytokine stimulation as well as direct cytotoxicity against cancer cells. These findings suggest that NK101 provides a valuable model for studying a unique polyfunctional NK cell subset, which has been little studied due to several limitations of primary NK cells. In the second part of the study, I assessed a potential of NK101 as a cellular platform for cancer treatment. Since NK-92 is only available NK cell line entering clinical trials, NK101 was compared with NK-92 in terms of cytotoxicity, cytokine signature, gene expression profile and manufacturing potential. NK101 expressed lower levels of perforin and granzyme B that correlated with weaker cytotoxicity than NK-92, but produced higher levels of pro-inflammatory cytokines including IFN-γ and TNF-α. On the other hand, anti-inflammatory cytokines such as IL-1 receptor antagonist and IL-10 were highly produced by NK-92, which were nearly undetectable in NK101. Similarly, genes linked to the positive regulation of leukocyte proliferation were enriched in NK101, while those associated with opposite function were highly upregulated in NK-92. Such functional and expressional disparities were well-represented in immunocompetent 4T1 tumor model where NK101 showed more potent anti-tumor effects than those of NK-92, accompanied with stronger tumor-specific immune responses. Regarding manufacturing potential, NK101 not only recovered rapidly after thawing, but also exhibited faster growth profile than NK-92, yielding more than 200-fold higher cell numbers after 20-day culture. Overall, this study not only highlights the distinctive features of a novel NK cell line, NK101, as a unique polyfunctional CD56dimCD62L+ NK subset, but also addresses the capability of NK101 as a new platform for adoptive cancer immunotherapy.

Enhancing RF Transmission and Shielding Performance Using Glass-Based Frequency-Selective Surfaces : RF 전송 및 차폐 능력 개선을 위한 유리 기반 주파수 선택 표면

박승덕 포항공과대학교 융합대학원 2025 국내석사

This dissertation presents the design and application of frequency-selective surfaces (FSS) to enhance electromagnetic shielding and RF transmission in glass-based systems. First, transparent FSS designs utilizing Ag Metal Mesh patterns are developed to address the limitations of traditional shielding methods. The proposed designs achieve high optical transparency (85%) and shielding effectiveness exceeding 50 dB below 1 GHz, while maintaining visibility and enabling precise frequency-selective EMI shielding. Simulation and experimental results confirm the effectiveness of these designs in improving electromagnetic performance. Building on this foundation, the research extends to Low-E glass, which suffers from significant RF signal attenuation due to its metallic coatings, despite its superior thermal insulation. Advanced FSS patterns, including double-grid slots, fractal geometries, and laminated configurations, are applied to enhance RF performance while preserving the thermal and optical properties of Low-E glass. At 4.5 GHz, the designs achieve an absorption rate of 90%, and within the 1.9–2.7 GHz range, transmission efficiencies exceed -3 dB. These findings demonstrate the feasibility of FSS as a practical solution for applications requiring both energy efficiency and electromagnetic functionality.

Development of enhanced mRNA delivery systems using end-modified poly(beta-amino ester)s

김성준 포항공과대학교 융합대학원 2025 국내석사

Drug development has historically evolved in the reverse order of the central dogma. Early therapeutics targeted proteins, exemplified by hormone treatments like insulin and antibody- based therapies. Advances in RNA-targeted technologies subsequently enabled the development of RNA-based therapeutics, such as RNA interference and mRNA vaccines, which directly induce protein synthesis in vivo. Most recently, gene editing technologies like CRISPR-Cas9 have opened pathways for DNA-level therapeutics to correct genetic disorders. However, DNA- based therapies face significant challenges, including inefficient nuclear delivery and the risk of permanent genetic alterations, which have positioned RNA-based therapeutics as the primary focus of current drug development. Lipid nanoparticles (LNPs), the leading delivery platform for mRNA therapeutics, including COVID-19 vaccines, have revolutionized the field. However, LNPs have several limitations, such as off-target effects, the requirement for cold chain storage, and the necessity of repeated administration due to limited immune durability. These limitations have driven extensive research into developing alternative non-viral delivery systems that retain LNPs' advantages while overcoming their drawbacks. In this study: • Chapter II presents a polymeric gene delivery system utilizing poly(beta-amino ester) (PBAE) nanoparticles (PNPs) with terminal endcap modifications, addressing the limitations of LNPs in mRNA delivery. • Chapter III introduces PNPs functionalized with polyethylenimine (PEI) at the PBAE ends, achieving high mRNA delivery efficiency with selective targeting to the lungs. In conclusion, this research establishes a PBAE-based drug delivery platform leveraging terminal modification strategies, providing a robust foundation for advancing mRNA therapeutic delivery technologies.

An Analysis of South Korea's Discourse on AI : Focusing on International Hegemonic Competition

전솔영 포항공과대학교 융합대학원 2025 국내석사

This study examines South Korea's discourse on artificial intelligence (AI), focusing on its implications within the context of international hegemonic competition. Using advanced text mining techniques, including TF-IDF, K-means clustering, and Latent Dirichlet Allocation (LDA), the research analyzes data from Korean policy research institutions, legislative records, and government-affiliated organizations. The study is conducted in two phases: the first phase explores general discussions on AI, while the second phase focuses specifically on AI's role in security. Findings from the first phase reveal that AI research in South Korea is primarily centered on AI policy and digital transformation, with an emphasis on economic and industrial impacts. The studies highlight the recognition of data as a critical resource and the frequent examination of international case studies, reflecting an awareness of global hegemonic competition, particularly between the United States and China. In the second phase, security-related topics such as semiconductors, space, cybersecurity, energy, and North Korea emerge as key concerns. The analysis underscores three critical insights: (1) the recurrence of longstanding security issues on the Korean Peninsula, now amplified by AI technology, (2) the need for flexible strategies amidst geopolitical tensions between major powers, and (3) the necessity for South Korea to assume a leadership role in AI policy, aligning with nations facing similar challenges. These findings emphasize the urgent need for AI legislation in South Korea as a matter of national security and call for a shift in AI research priorities. Future research and policy must adopt a more comprehensive focus on security, transcending the current economic-centric approach, to position South Korea as a proactive leader in the global AI landscape.

Investigating Smartphone Usage Patterns and Mind-Wandering : a fNIRS study

신호정 포항공과대학교 융합대학원 2025 국내석사

Mind-wandering is an unconscious shift in attention towards intrinsic thoughts that everyone experiences. This study investigated the phenomenon of mind-wandering, which is closely related to human attention, and the impact of variables associated with smartphone usage. By examining individuals’ smartphone use, smartphone addiction, short-form content addiction, and attention control scale, the study explored their effects on the experience of mind-wandering during repetitive cognitive tasks. Mind-wandering experiences were collected from 25 participants performing a simple SART (Sustained Attention to Response Task) cognitive experiment. Using a thought probe, a type of experience sampling technique, participants reported their mental state as on-task, task-related mind-wandering, or task-unrelated mind-wandering. Concurrently, participants' brain activity was recorded using an fNIRS device with 15 channels during the SART task. The results revealed that specific channels in the prefrontal cortex exhibited statistically lower neural activity during mind-wandering compared to task-focused states, as determined through a generalized linear model. Notably, task-related mind-wandering showed significantly reduced neural activity across more channels compared to task-unrelated mind-wandering. Furthermore, when participants were grouped based on their attention control and short-form content addiction scale, differences in neural activity were observed in a single channel during task-related mind-wandering responses. Using fNIRS data annotated by thought probe responses, machine learning-based algorithms were developed to classify mind- wandering and on-task states, achieving a maximum classification accuracy of 62%. This study introduces a method for collecting subjective mind-wandering experiences using experience sampling in conjunction with fNIRS devices. The portability of fNIRS and its ability to track temporal patterns of attention shifts provide distinct advantages over other neuroimaging tools. Additionally, this study created a dataset by integrating data across participants, removing participant-specific effects, to enhance classification performance. The findings offer insights into the impact of smartphone addiction and short-form content addiction on attention and cognition, both of which are emerging social issues. Moreover, this research lays the foundation for developing neurofeedback technologies to monitor attention in medical, educational, and industrial settings where maintaining focus is critical.

Mechanical Properties of Lattice Structures Fabricated by Metal Additive Manufacturing Process

이기택 포항공과대학교 융합대학원 2025 국내석사

With the advancement of additive manufacturing technology, lattice structures have become an innovative technology in various fields such as aerospace, automotive, and defense industries. In particular, lattice structures exhibit excellent properties in terms of light weight and energy absorption under compressive loads. However, the lack of experimental data on complex loads such as shear properties limits their utilization under various loading conditions. By analyzing the shear deformation behavior of lattice structures and comparing it to their compressive properties, this study aims to lay the foundation for safe design under various loading conditions. For this purpose, lattice structures of three different geometries: body- centered cube (BCC), face-centered cube (FCC), and octet truss (OCT) were fabricated by additive manufacturing under the same relative density conditions using 316L stainless steel material. The fabricated lattice structures were subjected to digital image correlation (DIC) analysis, finite element method (FEM) analysis, and compression and shear tests to compare their mechanical properties and deformation mechanisms under two loading conditions. The analysis results showed that the mechanical properties of the lattice structures varied depending on the geometry, and that each geometry had unique load-bearing properties and excellent mechanical performance. In particular, under shear loading, the struts of the BCC lattice structure showed bending deformation dominated by node rotation, while those of the FCC and OCT structures showed compression and tensile deformation dominated. As a result, the BCC lattice specimens showed higher shear energy absorption capacity and load- bearing capacity than other geometries, while the FCC specimens showed relatively lower shear energy absorption capacity. On the other hand, the OCT specimens showed uniform strain distribution and stable performance under both compression and shear loading. In this study, the shear deformation behavior of lattice structures was comprehensively evaluated by considering their geometric properties and local strain distributions, and optimization measures and future improvement possibilities were discussed. These results can serve as an important basis for the study of shear properties of lattice structures, safe design, and various industrial applications.