PURPOSES : In this study, a Design Support Automatic Program for NATM (new Austrian tunneling method) tunnels based on BIM that can generate shape information including property information via the development of BIM libraries and the construction of a library design support automatic program is developed. METHODS : In this study, the abovementioned program is developed as an add-in Revit program. AutoDesk's program has the highest utilization rate, and it allows support tools to be added easily. Construction information classification based on WBS(Work Breakdown Structure) is developed. Subsequently, library construction and program development algorithms are developed. RESULTS : The automatic program constructs a library that reflects geometric characteristics through the construction of a library automatic module as well as generates three0-dimensional (3D) shape information by mapping between the constructed library and 3D informal alignment. The proposed program can automatically assemble a constructed library through the development of an algorithm for generating sequences of 3D shape information and automatically place models on a 3D terrain. CONCLUSIONS : The proposed automatic program can be designed and changed easily. It is expected to contribute to improvements in the speed of 3D NATM tunnel modeling and the efficiency of NATM tunnel design.

The aim of this study was to develop a body type suitable for adult men aged from their 20s to their 40s and to present a method of drafting related patterns. To this end, the somatic surface pattern data from previous studies were used. The research method involved drafting torso patterns for each type by setting and distributing the ease to the somatic surface pattern. Appearance evaluation was performed with virtual clothing. Then, the torso pattern for each body type was completed and presented as a draft method. SPSS was used for data analysis in this study. The research results are as follows. Types 1, 2, and 3 were set to 7%, 6%, 5%; 7%, 6%, 4%; and 6.5%, 7%, and 6% for chest, waist, and hip circumference measurements, respectively. The ratio of front to back was 50%:50%, 50%:50%, and 50%:50% of the spare for each body part for Type 1; 70%:30%, 50%:50%, and 60%:40% for Type 2, and 60%:40%, 70%:30%, and 60%:40% for Type 3. A tight-fit torso pattern for each body type suitable for adult males in their 20s to 40s was drafted, which was modified and supplemented through the evaluation of the first and second virtual wear. Considering the practicality of this approach, for generalization of the patterns, the items of the pattern were converted into a drafting method and presented as a draft method.

This study aimed to analyze adult men’s body sizes and shapes and suggest size specifications to provide preliminary data to academia and industries. A total of 814 adult men aged 30-44 were selected from the 7th Size Korea data, and 55 direct upper body measurement and calculation items were analyzed using SPSS 25.0. In individual Individual differences, thickness, circumference, and width were high, and height and length were low. Height above the waist base line and shoulder dimension decreased in early 40s age group, while height below the waist base line declined as age increased. In addition, buttocks shape changes were found in early 40s age group. According to factor analysis, ‘upper body and upper-extremity horizontal size’, ‘torso height and upper extremity length’, ‘shoulder dimension’, ‘upper body length’ and ‘shoulder angle’ were derived. Using clustering analysis, four different body types were classified: i) big abdomen with flat chest, ii) slender with big, raised shoulders, iii) dwarfish with small, droopy shoulders, and iv) obese with large shoulders. ‘Slender with big, raised shoulders’ was a typical body shape among men aged 30-44. In older participants, the ‘big abdomen with flat chest’ ratio was low, while ‘obese with large shoulders’ was more common. This study proposed size specifications by body type considering the above characteristics.

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

A mid-story isolation system was proposed for seismic response reduction of high-rise buildings and presented good control performance. Control performance of a mid-story isolation system was enhanced by introducing semi-active control devices into isolation systems. Seismic response reduction capacity of a semi-active mid-story isolation system mainly depends on effect of control algorithm. AI(Artificial Intelligence)-based control algorithm was developed for control of a semi-active mid-story isolation system in this study. For this research, an practical structure of Shiodome Sumitomo building in Japan which has a mid-story isolation system was used as an example structure. An MR (magnetorheological) damper was used to make a semi-active mid-story isolation system in example model. In numerical simulation, seismic response prediction model was generated by one of supervised learning model, i.e. an RNN (Recurrent Neural Network). Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm The numerical simulation results presented that the DQN algorithm can effectively control a semi-active mid-story isolation system resulting in successful reduction of seismic responses.

이 글은 우리나라 대학 교양수업 중, ‘한자어’와 관련한 ‘원격수업’을 여하히 준비하여 유익하고 효과적인 학업-성취도를 이뤄낼 수 있을지에 초점을 맞추어 서술된 것이다. 다만, 글의 성격 상, 학술적 논의나 혹은 이론적 典據를 제시하여 논증하였다기보다, 실재 필자의 대학 교양수업 사례를 기반으로 작성된 것임을 차제에 밝힌다. 이미 우리나라는 2019년 감사원의 지적에 따라, 〈고등교육법〉 상 대학內 ‘원격수업’을 20%로 제한시켜 놓았다. 이유는 ‘출결 관리 미흡’, ‘고등교육의 질 저하로 인한 학력 격차 우려’, ‘시험 관리 부적절’ 등, 여러 측면에서 다양한 문제점이 야기될 수 있기 때문이었다. 더구나 작년(2020)부터 ‘코로나-팬데믹’으로 인한 비대면(원격) 수업이 점차 확대되면서, 기존의 우려는 필연적 과제만을 남겨놓았고, 교양과 전공을 불문한 채 다양한 강좌에서 다소 결이 다르기는 하나 문제점과 대안들을 내놓게 되었다. 본고는 이러한 상황에 직면하여 대학 교양수업 중 일상에서 자주 사용하는 ‘한자어’와 ‘어휘’를 어떻게 분류·선별하여 가장 효과적인 학습을 진행할 수 있을지를, 실재 수업 사례를 예시로 작성되 었다. 요즘 중·고교 현장 교사들도 학생들의 기초 학력 부재로 인하여 모든 교과마다 학업 성취도가 하락으로 이어지는 악순환이라고 한탄한다. 그러나 이는 대학교육에서도 마찬가지며, 원격수업은 교육의 질을 떨어뜨리는 원인이기도 하다. 이에 필자는 “원격수업은 인터넷 강의가 아님”을 전제하고, “원격수업 설계부터 학습전략, 그리 고 효율적인 운영 방안”을 체계적으로 구성해 보았다. 그리고 교수자가 원격(교양)수업에서 ‘한자어’와 ‘어휘’는 어떻게 선별함으로써 학습자들로부터 관심과 흥미를 이끌 수 있을지에 대하여 언급 해보았다. 그러나 무엇보다도 “교육의 질은 교수자(교사·교수)의 질을 능가할 수 없다”는 명제는 대면수업 이나 원격수업에서도 결코 외면할 수 없음을 인지하여, 교수자와 학습자 간의 ‘소통’이 원격수업의 성패를 가르는 가장 큰 요소임을 강조하는 것으로 글의 결말을 맺었다.