Earticle

본 연구는 NCS 기업활용 컨설팅에 참여한 조직구성원이 인식하고 있는 고성과 작업시스템이 조직유효 성에 미치는 영향과 이들 간 인사관리 효율성의 조절역할과 조직유효성과 조직성과 간에 대한 영향관계를 확인하고자 하였다. 본 연구목적을 달성하기 위해 적용한 설문결과는 통계적으로 최종 활용 가능한 145부 에 대하여 SPSS 24.0의 통계프로그램을 활용하여 회귀분석을 실시하여 연구가설을 검증을 다음과 같이 하 였다. 첫째, 가설 1인 고성과 적업시스템의 특성요인(선발시스템, 평가․보상, 교육훈련․경력기회, 구성원 참여제도, 직무안정성)은 조직유효성에 정(＋)의 영향관계에 대한 분석결과는 정(＋)의 유의한 영향관계를 나타내어 채택이 되었다. 둘째, 가설 2인 조직유효성이 조직성과에 긍정적인 영향관계를 나타낼 것이라는 가설을 검증한 결과 정(＋)의 영향을 나타내어 가설 2는 채택이 되었다. 셋째, 가설 3인 인사관리 효과성이 고성과 작업시스템(선발시스템, 평가․보상, 교육훈련․경력기회, 구성원 참여제도, 직무안정성)과 조직유효 성 간의 조절역할을 확인하고자 조절회귀분석을 실시하였다. 이에 가설 3을 검증한 결과 선발시스템 (H3-1), 평가․보상(H3-2), 교육훈련․경력기회(H3-3), 구성원 참여제도(H3-4), 직무안정성(H3-5)은 조직 유효성 간에 인사관리 효과성은 조절역할을 나타내었다. 본 연구를 통해 나타낸 주요 시사점은 조직구성원 들이 인식하고 있는 고성과 작업시스템은 조직유효성과 조직성과에 정(＋)의 유의한 영향관계와 조직유효 성이 조직성과에 긍정적인 영향을 나타냄에 따라 조직성과 향상을 통한 지속가능경영체계의 고도화를 위 한 고성과 작업시스템과 조직유효성 향상 위한 인사․교육훈련 체계구축은 조직구성원의 공감대를 형성할 수 있도록 체계적이며 지속적인 실행방안이 요구되었다. 둘째, 인사관리 효과성에 대한 조절효과를 확인한 결과 고성과 작업시스템과 조직유효성 간 긍정적인 요인으로 조절역할을 실증적으로 검증하였다. 따라서 본 연구는 고성과 작업시스템을 통한 조직유효성과 이들 간 인사관리 효과성의 조절역할 및 조직유효성과 조직성과 간의 영향관계를 함께 검증한 부분이 선행연구와 가장 큰 차이점이라 할 수 있다

The purpose of this study is to identify the influence of the high performance and the work system recognized by the organizational members participating in the NCS enterprise utilization consulting on the organizational effectiveness and the influence of the organizational performance. In order to achieve the purpose of this study, the research hypotheses were verified by applying multiple regression analysis and co-integration regression analysis on the 145 usable results from using the statistical program of SPSS 24.0. The results of this study are as follows. First, hypothesis 1, the analysis of positive(＋) influence on organizational effectiveness on the characteristics of the system (selection system, evaluation and compensation, education and training opportunity, member participation system, job stability) was adopted due to its' positive(＋) and significant relationship. Second, hypothesis 2, an analysis that the organizational effectiveness would have a positive impact on organizational performance was adopted due to its' proven work. However, its' effectiveness will need verification. Third, regression analysis was conducted to confirm the role of the hypothesis 3, personnel management effectiveness, between the high performance and the work system (selection system, evaluation/compensation, education/training opportunity, member participation system, job stability). As a result, Hypothesis 3 showed that the selection system (H3-1), evaluation and compensation(H3-2), education and career opportunities(H3-3), member participation system(H3-4), job stability(H3-4) showed that organizational effectiveness has a moderating role in HR effectiveness. The main implication of this study is that the positive and working system recognized by the organizational members has positive affects on organizational effectiveness and organizational performance. In order to enhance the substantiality management system through improvement of organizational performance, a regular implementation plan on a high-performance working system along with education & training system to improve organizational effectiveness is required so that the members of the organization could form a consensus. Second, as a result of confirming the moderating effects of HR management effectiveness, the moderating role of HR management system and organization effectiveness was verified positive. Therefore, this study shows that the part that verifies both organizational effectiveness and organizational performance through high-performance working system and the part that confirmed the role of control between high-performance work system and organizational effectiveness are the biggest difference from the previous research.

In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

The selection of the correct examination variables for diagnosing heart disease provides many benefits, including faster diagnosis and lower cost of examination. The selection of inspection variables can be performed by referring to the data of previous examination results so that future investigations can be carried out by referring to these selected variables. This paper proposes a model for selecting examination variables using an Artificial Bee Swarm Optimization method by considering the variables of accuracy and cost of inspection. The proposed feature selection model was evaluated using the performance parameters of accuracy, area under curve (AUC), number of variables, and inspection cost. The test results show that the proposed model can produce 24 examination variables and provide 95.16% accuracy and 97.61% AUC. These results indicate a significant decrease in the number of inspection variables and inspection costs while maintaining performance in the excellent category.

While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of information retrieval system in the real information-seeking process. Considering the role of commercial Web search engines as supplementary tools for traditional bibliographic databases in academic research environments, this study analyzed the selection behavior of scholarly researchers, who use such search tools for their academic study. The researchers were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. Variations appeared in different incidents of uncertainty relating to the unique characteristics of the subjects' information-seeking context. The identification of three principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

Internet of Things (IoT) is suffered from different types of attacks due to vulnerability present in devices. Due to many IoT network traffic features, the machine learning models take time to detect attacks. This paper proposes a feature selection for intrusion detection systems (IDSs) using Information Gain (IG) and Gain Ratio (GR) with the ranked top 50% features for the detection of DoS and DDoS attacks. The proposed system obtains feature subsets using insertion and union operations on subsets obtained by the ranked top 50% IG and GR features. The proposed method is evaluated and validated on IoT-BoT and KDD Cup 1999 datasets, respectively, with a JRipclassifier. The system provides higher performance than the original feature set and traditional IDSs on IoT-BoT and KDD Cup 1999 datasets using 16 and 19 features, respectively.

Investors aim to increase their profitability by investing in the stock market. An adroit strategy for minimizing related risk lies through diversifying portfolio operationalization. In this paper, we propose a six-step stocks portfolio selection model. This model is based on data mining clustering techniques that reflect the ensuing impact of the political, economic, legal, and corporate governance in Mongolia. As a dataset, we have selected stock exchange trading price, financial statements, and operational reports of top-20 highly capitalized stocks that were traded at the Mongolian Stock Exchange from 2013 to 2017. In order to cluster the stock returns and risks, we have used k-means clustering techniques. We have combined both k-means clustering with Markowitz's portfolio theory to create an optimal and efficient portfolio. We constructed an efficient frontier, creating 15 portfolios, and computed the weight of stocks in each portfolio. From these portfolio options, the investor is given a choice to choose any one option.

Ultraviolet communication (UVC) is a promising technology due to its ability to operate in non-line-of-sight (NLOS) mode thereby eliminating the pointing acquisition and tracking (PAT) requirement as needed by infrared and visible light communications. However, NLOS UVC suffers from very high attenuation and turbulence-induced fading when operated over a long distance. Due to these limitations, the existing literature on the NLOS UVC is mostly restricted to short-distance communications only. Therefore, this paper addresses these challenges by proposing an outdoor subcarrier-intensity-modulation (SIM) based multi-relay cooperative communication system employing the best relay selection and decode-and-forward (DF) relaying protocol. The turbulence-induced fading is modelled using lognormal distribution under weak atmospheric turbulence conditions. We derive novel closed-form analytical expressions of outage probability and ergodic capacity. Correctness of the derived analytical expressions is validated through numerical simulations.

Purpose: The peer review process is essential for maintaining the quality of scientific publications. However, identifying reviewers who possess the necessary expertise can be challenging. In Open Journal Systems (OJS), which is commonly utilized by journals, the most effective method of inviting reviewers is when they are already registered in the system. This study seeks to improve the efficiency and accuracy of the reviewer selection process to ensure high-quality peer reviews. Methods: We introduced a process innovation to analyze users within OJS and obtain recommendations for potential reviewers possessing the relevant expertise for the manuscript under review. This study collected user data from OJS as potential reviewers and utilized information from the Scopus search application programming interface (API). We extracted authors’ data from the Scopus API to obtain their Scopus IDs, which were then used to scrape publication data of potential reviewers. The system matched the previous works of reviewers with the title and abstract of the manuscript using term frequency-inverse document frequency and cosine similarity algorithms. Results: The system was evaluated by comparing its recommendations with the assessments made by the editorial team. This evaluation yielded precision, mean average precision, and mean reciprocal rank values of 0.47, 0.77, and 0.87, respectively. Conclusion: The results clearly demonstrate the system’s ability to provide relevant reviewer recommendations. This system offers significant benefits by assisting editors in identifying suitable reviewer candidates from the existing user database in OJS, particularly for the evaluation of manuscripts.

오늘날 인터넷의 출현과 확산으로 인하여 정보의 홍수를 이루게 되었고, 고객들은 자신이 원하는 제품이나 서비스를 선택하기 위해서 정보를 탐색하는 작업이 더욱 어려워지게 되었다. 이러한 고객들에게 좀 더 편리하게 자신이 원하는 제품이나 서비스를 선택하도록 도와주는 것이 추천 시스템으로써, 고객 관계 관리의 중요한 부분으로 자리잡게 되었다. 본 연구에서는, 인터넷상의 여행사 사이트 등에서 고객이 여행지를 선택할 때 고객이 관심을 가질만한 여행지를 추천하여 줌으로써 고객이 최적의 여행지를 선택할 수 있는 새로운 추천 시스템을 개발하였다. 기존의 여러 추천 시스템에서 적용되던 협업 필터링 기법의 문제점으로 나타나고 있는 희소성과 확장성을 해결하기 위하여 본 연구에서는 퍼지로직과 인공신경망을 결합한 하이브리드 접근 방법인 뉴로 퍼지 기반의 여행지 추천시스템을 개발하였다. 제안한 추천시스템을 적용하여 실험한 결과 제안 시스템이 기본의 방법들보다 우수함을 입증하였다.

최근 전장 환경의 복잡성과 다변화가 가속화됨에 따라, 대포병레이다 시스템에서 인공지능 모델을 활용한 표적 분류의 중요성이 크게 부각되고 있다. 기존 표적의 동특성 기반 식별 기법은 다양한 표적을 정확히 구분하는 데 한계가 있어, 전술적 판단의 신뢰성 저하를 초래한다. 인공지능 기반 모델은 대량의 학습 데이터를 통해 표적의 특성과 행동 패턴을 효과적으로 학습함으로써, 복잡한 환경에서도 높은 분류 정확도를 확보할 수 있다. 모델 학습 간 레이다로부터 수집된 데이터를 입력으로 사용하며, 이때 데이터가 표현되는 좌표계에 따라 모델 성능에 차이가 발생할 수 있다. 본 논문에서는 수집된 데이터를 ANT(antenna), ENU(east-north-up), ECEF(earth-centered earth-fixed), LLA(latitude-longitu de-altitude) 등 다양한 좌표계로 변환하여 성능을 비교하고, 위치 편향을 제거하기 위한 회전 증강 적용 여부에 따른 좌표계 선택 방법을 제안한다.

Recently, as the complexity and diversification of modern battlefields accelerate, the importance of employing artificial intelligence(AI) models for target classification in artillery radar systems has become increasingly prominent. Traditional identification methods based on target dynamic characteristics face limitations in accurately distinguishing diverse targets, leading to reduced reliability in tactical decision-making. AI-based models, by leveraging large-scale training data, can effectively learn the features and behavioral patterns of targets, achieving high classification accuracy even in complex environments. During model training, radar-collected data are used as inputs, and the coordinate system in which these data are represented can significantly affect model performance. This paper compares the performance of data transformed into various coordinate systems, such as antenna(ANT), east-north-up(ENU), earth-centered earth-fixed(ECEF), and latitude-longitude-altitude(LLA), and proposes a method for selecting the optimal coordinate system based on whether rotation augmentation is applied to remove positional bias.

As consumer's desire becomes various, agility of mold manufacturing is the most important factor for competitive mold manufacturer. Decision making process is required to produce optimal result of CAM systems in using commercial CAM system to generate tool path. The paper proposes a methodology fur computer-assisted tool selection procedures for various cutting type of rough, semi-rough and finish cuts. The procedure provides assistance for machining tool selection by analyzing sliced CAD model section of die cavity and core. Information about machining time for the generated NC-code is used to aid the tool selection. The module is developed with commercial CAM API. This module will be used fur the optimization of tool selection and planning process.

전자기록물은 그 특성상 휘발성과 불안정성이 높으며, 이를 장기간이용할 수 있도록 유지하는 것은 중요하다. 국가기록원은 이를 위해전자기록물 보존포맷 선정체계를 수립하였으나, 현재 보존포맷 선정체계는 문서 유형의 전자기록물만을 그 범위로 하고 있어 시청각기록물등 다른 유형의 기록물에 적용하기에 적합하지 않다. 본 논문은 이미지 유형 전자기록물을 중심으로 기존 체계의 적용 범위 확장과 이미지유형 전자기록물의 보존에 대한 기초적인 가이드라인 구축을 목적으로 한다. 국내에서 이미지 유형 전자기록물은 문서 유형 전자기록물다음으로 가장 많은 수량을 가진 유형이다. 이미지 유형은 시청각기록물의 가장 기본적인 형태로, 이에 대한 연구는 향후 다른 시청각기록물에 관한 논의의 기반을 마련한다. 이에 본 연구는 이미지 유형 전자기록물에 대한 보존포맷 선정체계를 구축하였다. 이를 통해 향후 새로운 이미지 포맷의 등장에도 해당 체계를 활용하여 보존포맷의 적합성을 신속하고 효율적으로 평가할 수 있다. 이를 검증하기 위해 연구에서 제안된 보존포맷 선정체계를 실제 이미지 포맷에 적용하여 평가를진행하였으며, 그 결과로 TIFF, JFIF, PNG 포맷이 보존포맷으로 선정되었다. 이러한 결과는 향후 포맷 평가의 실질적인 참고 자료로써 활용될 수 있다.

Electronic records, characterized by their inherent volatility and instability, necessitate sustainable preservation measures to ensure their long-term accessibility. The National Archives of Korea has instituted a selection system for preservation formats tailored predominantly for document-type electronic records. However, this system falls short in accommodating other record types such as audiovisual records. This study endeavors to broaden the applicability of the existing system, with a concentrated focus on image-type electronic records, and to formulate foundational guidelines for their long-term preservation. In South Korea, image-type electronic records rank as the second most prevalent category following document-type. The image-type electronic records are the most basic form of audio-visual records, and research on this lays the foundation for future discussions on other audio-visual records. Consequently, this research has led to the development of a selection system for preservation formats specifically for image-type electronic records. This system is designed to facilitate the prompt and efficient evaluation of preservation format suitability, even in the context of emerging image formats. The efficacy of this system was validated through its application to extant image formats, resulting in the selection of TIFF, JFIF, and PNG as the optimal preservation formats. The outcomes of this study offer valuable insights and practical reference points for future preservation format evaluations within the field of electronic record management.

This paper deals with developing an Expert system for tool selection using knowledge base system approach, and its application. For the sake of building of knowledge base, the information from process through sensor, tool handbook and interview with expert are referrenced and managed. The system developed shows good application flexibility in providing the actual cutting process with the selection of tool(insert, holder) and cutting conditions(feed, speed, rake type, and so on), is found as a useful system for real-time machining process. The Expert system for tool selection is written in TURBO PROLOG ver. 2.0 for inference engine capability, and can be run in interactive mode for user friendliness. In order to apply the system developed in actual cutting process, more parameters should be considered and scrutinized, and the system should be further extended in modular basis.

TETRA(TErrestrial Trunked RAdio)는 항상 기지국을 통해서 통신을 하는 TMO(Trunked Mode Operation)가 기지국 없이 단말기간 직접 통신을 하는 DMO(Direct Mode Operation) 보다 주파수 채널의 할당에 있어 우선순위를 가지고 있다. 이 때문에 단말간 통신인 DMO를 안정적으로 운용하기 위해서는 단말이 TMO로 할당된 주파수 채널을 회피할 수 있는 알고리즘이 필요하나 현재의 TETRA DMO 표준에는 이에 관한 사항이 반영되어 있지 않다. 따라서 본 논문에서는 이웃 노드(기지국 혹은 단말)로부터 TMO 주파수 채널 현황 및 DMO 주파수 이용률에 관한 추가 정보를 제공받아 단말 스스로 최적의 DMO 주파수 채널을 선택할 수 있는 알고리즘을 제안한다. 성능평가를 통하여 제안 알고리즘이 기존의 DMO 주파수 채널 할당 방식에 비해 평균 전송효율이 우수함을 증명하였다.

In TETRA(TErrestrial Trunked RAdio) standard, TMO(Trunked Mode Operation) communicates with the UE through the base station and it has a higher priority than DMO(Direct Mode Operation) which communicates with UE directly for channel allocation. As a result, the UE needs an algorithm which restricts the frequency allocation by TMO so that DMO can have a successful communication within the network. However, the TETRA DMO standard does not consider this issue. In this paper, we propose an active DMO channel selection algorithm which allocates a channel based on some additional information such as channel usage state of TMO and channel utilization of DMO. The experimental results show that the proposed algorithm outperforms existing DMO channel allocation scheme in terms of the transmission efficiency.

본 연구의 목적은 메타분석을 통해 청소년 리더십 관련 변인들을 알아보고 효과의 크기를 비교함으로써 현행 입학사정관 리더십 전형제도를 위한 시사점을 도출하는 것이다. 이러한 연구 목적을 달성하기 위한 구체적인 연구 문제는 다음과 같다. 첫째, 선행되었던 청소년 리더십연구는 주로 어떤 변인들을 다루어왔으며, 이들 변인들을 선행연구의 범주대로 분류할 수 있는가? 둘째, 청소년 리더십 관련 변인군의 효과크기는 어느 정도인가? 셋째, 관련 변인군의 하위요인들의 효과크기는 어느 정도인가? 이를 위해 본 연구는 10년간의 청소년 리더십 관련 연구 20편을 수집하여 메타분석을 통해 각 영향변인의 92개 효과크기를 비교, 분석하였다. 본 연구의 구체적인 연구결과는 다음과 같다. 첫째, 청소년 리더십 관련 변인은 인구학적 변인, 조직활동 변인, 가정환경 변인, 사회심리적 변인으로 분류될 수 있었고, 둘째, 가장 큰 효과크기를 보인 변인은 사회심리적 변인군이었으며(ES=.9624) 셋째, 하위 요인으로는 자아존중감(ES=1.3231), 생활만족도(ES=1.1737) 순으로 효과크기가 큰 것으로 나타났다. 마지막으로 연구결과를 근거로 앞으로 국내 입학사정관 리더십 전형의 학생선발방법을 위한 제언을 제시하였다.

The purposes of this research are: to observe the related variables; to compare the effect size; and make suggestions for leadership selection by admission officer system based on the results from the observation and comparison through meta analysis. The research questions crafted in order to achieve the purpose are as follows. First, what kind of variables were discussed in the previous studies? and can these variables be classified as the categories of the existing studies? Second, how are the effect sizes of the youth leadership related variable groups? Third, how are the effect sizes of sub factors of the related variable groups? The specific results of this research are as follows. First, youth leadership related variables can be classified as demographic, organization-activities, home environment and sociopsychological variables. Second, sociopshycological variable group shows the largest effect size. Third, among the sub factors, self esteems (ES=1.3231) and degree of satisfaction for life (ES=1.1737) show two largest effect sizes. In conclusion, based on the result of the research, this research suggests an alternative for a method to select students through admission counseling leadership selection system.

본 논문의 목적은 무기체계 연구개발 사업자 선정에 관한 비용평가 제도의 문제점을진단하고, 비용평가의 효율성 제고를 위한 발전방안을 제안하는 것이다. 무기체계 연구개발은 ‘협상에 의한 계약’ 방법을 통해 사업자를 선정하고 있으나, ‘협상에 의한 계약’에서 비용평가 방식의 구조적인 문제점으로 인해 적정 연구개발비 보다는 전략적인 가격으로 제안하는 현상이 지속되고 있으며, 방위산업의 비정상적인 경쟁을 유발하는 요인이 되고 있다. 이에 따라 비용평가 제도변화 과정을 살펴보고 현상진단 및 문제점을 제기하였으며, 보다 신뢰성 있는 사업예산 편성과 ‘협상에 의한 계약’ 체결방식의 패러다임 전환에 초점을 두고 발전방안을 모색하였다.

The purpose of this research is to diagnose the problems in the cost evaluation system regarding weapon system research and development(R&D) provider selection and to suggest a development plan for improvement of efficiency in cost evaluation. Weapon system R&D project is selecting providers by evaluating technical ability and costs through the ‘contract by negotiation’ method. However there is a continuation of phenomenon where the suggested price is suggested as a more strategic price than the appropriate R&D expenses due to the structural problems in the cost evaluation method, this is becoming the cause of producing low quality due to low bidding and inducing abnormal competition in the defense industry. To improve upon this, reliable project budgeting must be preceded by systematically analyzing the relation between the characteristics of R&D project and appropriate R&D costs. Also by transitioning the paradigm of the ‘contract negotiation’ method of contract, there needs to be improvement of cost evaluation method. As above, cost evaluation method of provider selection evaluation system needs system improvement in accordance with the domestic defense industry environment and various R&D project characteristics, and it is the time where there needs to be a desirable development plan in the long-term perspective rather than for short-term outcomes.

최근 대학들은 제도적 혁신과 학사 운영의 유연성 강화를 주요 과제로 삼고 있으며, 이러한 변화의 일환 으로 도입된 전공자율선택제는 학생들의 전공 선택권을 확대하고 진로 탐색의 기회를 보장하는 제도로 주목받 고 있다. 이에 본 연구는 대학 무전공 입학제의 확대 도입에 대응하여 학생들이 효율적으로 전공을 탐색하고 결정할 수 있도록 지원하는 다양한 전공 탐색 지원 프 로그램의 설계와 운영 방안을 모색하고, 이를 통해 학 생 유형별 특성에 따른 전공 탐색 지원 프로그램의 효 과성을 분석함으로써 전공 선택 및 운영의 효율성을 제 고할 수 있는 전략적 기반을 마련하는 데 연구의 목적 이 있다. 이를 위해 연구자가 소속된 Y대학교 미디어 디자인학과의 전공 탐색 지원 프로그램 사례를 중심으 로 분석하였으며, 이를 바탕으로 전공 탐색 지원 체계 의 구체적인 프레임워크를 제시하였다. 연구 결과, 학 생 유형에 따라 전공 탐색 지원 프로그램의 효과가 상 이하게 나타났으며, ‘초기 관심 기반 탐색형’은 심화 학 습 중심 프로그램에서, ‘경험 기반 탐색형’은 다양한 비 교·체험 중심 프로그램에서, ‘멘토링 기반 탐색형’은 지 속적 상호작용 기반의 멘토링 프로그램에서, ‘진로 기 반 탐색형’은 실용적 진로 연계 프로그램에서 가장 높 은 효과를 보였다. 이러한 결과는 전공 선택의 자율성 과 진로 연계성 강화를 위해 학생 특성에 기반한 맞춤 형 지원 체계가 효과적임을 시사한다. 따라서 대학은 학생들의 적성에 맞는 전공 탐색을 지원할 수 있는 체 계적 교육 전략을 마련할 필요가 있으며, 본 연구가 이를 위한 중요한 기초자료로 활용되기를 기대한다.

Recently, Universities in Korea have identified institutional innovation and the enhancement of flexibility in academic administration as key priorities. As part of this transformation, the Autonomous Major Selection System has attracted considerable attention as a policy designed to expand students’ rights in choosing majors and to ensure opportunities for career exploration. This study aims to explore the design and operational strategies of diverse support programs that enable students admitted under the undeclared major system to effectively explore and determine their majors. By analyzing the effectiveness of these programs according to student characteristics, the study further seeks to establish a strategic foundation for improving both the efficiency of major selection and the management of academic programs. This study analyzed the case of major exploration support programs carried out in the Department of Media Design at Y University, where the researcher is affiliated. Based on this analysis, the study proposed a concrete framework for systematic support programs for major exploration. As a result of this study, the effectiveness of major exploration support programs varied depending on student type: interest-driven students showed the highest effectiveness in-depth learning programs, experience-driven students in diverse comparative and experiential programs, mentoring-driven students in sustained interaction-based mentoring programs, and career-driven students in practical career-linked programs. These results suggest that tailored support systems reflecting individual student characteristics are effective in strengthening both autonomy in major selection and the linkage between academic choices and career development. Accordingly, universities need to establish systematic educational strategies that support students in exploring majors aligned with their aptitudes, and this study is expected to serve as a valuable reference in this regard.