• Journal of the Society of Naval Architects of Korea
• /
• v.31 no.1
• /
• pp.22-31
• /
• 1994

Fish aggregating devices(FAD) or artificial fish reefs deployed in the ocean space have been developed in various forms. The objective of FAD is to aggregate, cultivate and proliferate aquatic resources by making changes in ocean flows around it. developing spawning grounds, improving feeding areas and protecting larvae and juveniles. Most floating fish aggregating devices(FFAD) are in the form of surface buoys or subsurface buoys with a single point mooring system(SPMS). The mooring line of SPMS for the secure positions of FFAD is expected to keep great stresses as a result of the harsh ocean environment. Laboratory static tests on synthetic fiber ropes used for the SPMS were run. The Nylon wet rope specimen tests under increasing-and-decreasing loads showed about 20% strength drop. Also the logarithmic creep-tie behavior of fiber ropes was observed in the constant load test and compared with Flessner's formula.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12
• /
• pp.248-256
• /
• 2021

Now that we're in the big data era, data has taken on a new significance as the storage capacity has exploded from trillion bytes to petabytes at breakneck pace. As the use of cloud computing expands and becomes more commonly accepted, several businesses and institutions are opting to store their requests and data there. Cloud storage's concept of a nearly infinite storage resource pool makes data storage and access scalable and readily available. The majority of them, on the other hand, favour a single cloud because of the simplicity and inexpensive storage costs it offers in the near run. Cloud-based data storage, on the other hand, has concerns such as vendor lock-in, privacy leakage and unavailability. With geographically dispersed cloud storage providers, multicloud storage can alleviate these dangers. One of the key challenges in this storage system is to arrange user data in a cost-effective and high-availability manner. A multicloud storage architecture is given in this study. Next, a multi-objective optimization problem is defined to minimise total costs and maximise data availability at the same time, which can be solved using a technique based on the non-dominated sorting genetic algorithm II (NSGA-II) and obtain a set of non-dominated solutions known as the Pareto-optimal set.. When consumers can't pick from the Pareto-optimal set directly, a method based on Principal Component Analysis (PCA) is presented to find the best answer. To sum it all up, thorough tests based on a variety of real-world cloud storage scenarios have proven that the proposed method performs as expected.

• Convergence Security Journal
• /
• v.19 no.1
• /
• pp.97-101
• /
• 2019

If the operating system's core file contains an Intel PT, the debugger can not only check the program state at the time of the crash, but can also reconfigure the control flow that caused the crash. We can also extend the execution trace scope to the entire system to debug kernel panics and other system hangs. The second-generation PT, the WinIPT library, includes an Intel PT driver with additional code to run process and core-specific traces through the IOCTL and registry mechanisms provided by Windows 10 (RS5). In other words, the PT trace information, which was limited access only by the first generation PT, can be executed by process and core by the IOCTL and registry mechanism provided by the operating system in the second generation PT. In this paper, we compare and describe methods for collecting, storing, decoding and detecting malicious codes of data packets in a window environment using 1/2 generation PT.

• Journal of Advanced Navigation Technology
• /
• v.23 no.1
• /
• pp.55-60
• /
• 2019

The web is one of the most intimate technologies in people's daily lives, and most of the time, people are sharing data on the web. Simple messenger, news, video, as well as various data are now spreading through the web. In addition, with the emergence of Web assembly technology, the programs that run in the existing native environment start to enter the domain of the Web, and the data shared by the Web is now getting wider and larger in terms of VR / AR contents and big data. Therefore, in this paper, we have studied how to effectively deliver web contentsto users who use Web service by using service worker that can operate independently without being dependent on browser and cache API that can effectively store data in web browser.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.2
• /
• pp.417-424
• /
• 2019

This paper presents the design of a JPEG-LS codec for lossless image compression from AR/VR device. The proposed JPEG-LS(: LosSless) codec is mainly composed of a context modeling block, a context update block, a pixel prediction block, a prediction error coding block, a data packetizer block, and a memory block. All operations are organized in a fully pipelined architecture for real time image processing and the LOCO-I compression algorithm using improved 2D approach to compliant with the SBT coding. Compared with a similar study in JPEG-LS, the Block-RAM size of proposed STB-FLC architecture is reduced to 1/3 compact and the parallel design of the predication block could improved the processing speed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.10
• /
• pp.1216-1227
• /
• 2019

We propose TITAN (Tool for IoT ApplicatioN testing), a developer support tool that enables efficient testing of IoT applications. TITAN is designed to allow IoT application developers to run their applications under the development environment without being restricted by physical environments and users' behaviors required to test application logic being developed. Using TITAN, IoT application developers can save the time and effort needed to repeatedly perform the testing of application logic while they develop their applications. In this paper, we present the system architecture of TITAN and its current prototype implementation. We evaluate the usefulness and usability of TITAN through a small user study with two example IoT applications. The study participants show their positive perception about the usefulness of TITAN. We further discuss the limitations of the current study and future research directions.

• International Journal of Advanced Culture Technology
• /
• v.10 no.4
• /
• pp.137-147
• /
• 2022

In this study, for students who gave up their studies midway through college, we investigate the reasons for dropping out of college, analyze the factors that caused students to drop out, and suggest improvement measures to effectively increase the recruitment rate of enrolled students. This study explores measures to increase student enrollment in community colleges. For this purpose, it conducted a survey of students who dropped out of G College between 2018 and 2020 from June 28 to July 9, 2021. Its analysis is based on the results of 53 students who participated in the survey. First, our results suggest that programs to develop interpersonal relationships between students, faculty, and staff are necessary. Such programs will cultivate a culture of solidarity and collective identity among students, which in turn will reinforce positive experiences in college. Moreover, by developing systems to form relationships between faculty and students, colleges can have a feedback mechanism, such as an open-study program, through which they learn what the students want and need. Through this effort, colleges can help their students adjust to campuses and enhance student satisfaction in college. Second, it is necessary to develop various extracurricular programs not only for freshmen but existing students and to run hobby and leisure activity programs. To have continuous, standing extracurricular programs instead of one-time events, colleges should set up specific goals, delivery methods and strategies. Third, colleges should renovate old and outdated buildings and facilities on campus to enhance the quality of campus life. Moreover, more comprehensive improvement of facilities and a campus environment by having various convenient and leisure facilities that meet the needs and demands of students. Fourth, it is suggested to develop programs or systems that help students to more fully engage in campus lives and activities, which in turn increases confidence and self-efficacy among students. Through such programs, students can better adjust to their majors and, therefore, will be less likely to drop out of college.

• Journal of Auto-vehicle Safety Association
• /
• v.14 no.2
• /
• pp.39-44
• /
• 2022

This paper presents LiDAR static obstacle map based vehicle position correction algorithm for urban autonomous driving. Real Time Kinematic (RTK) GPS is commonly used in highway automated vehicle systems. For urban automated vehicle systems, RTK GPS have some trouble in shaded area. Therefore, this paper represents a method to estimate the position of the host vehicle using AVM camera, front camera, LiDAR and low-cost GPS based on Extended Kalman Filter (EKF). Static obstacle map (STOM) is constructed only with static object based on Bayesian rule. To run the algorithm, HD map and Static obstacle reference map (STORM) must be prepared in advance. STORM is constructed by accumulating and voxelizing the static obstacle map (STOM). The algorithm consists of three main process. The first process is to acquire sensor data from low-cost GPS, AVM camera, front camera, and LiDAR. Second, low-cost GPS data is used to define initial point. Third, AVM camera, front camera, LiDAR point cloud matching to HD map and STORM is conducted using Normal Distribution Transformation (NDT) method. Third, position of the host vehicle position is corrected based on the Extended Kalman Filter (EKF).The proposed algorithm is implemented in the Linux Robot Operating System (ROS) environment and showed better performance than only lane-detection algorithm. It is expected to be more robust and accurate than raw lidar point cloud matching algorithm in autonomous driving.

• Progress in Medical Physics
• /
• v.33 no.4
• /
• pp.172-179
• /
• 2022

Recently, tetrahedral phantoms have been newly adopted as international standard mesh-type reference computational phantoms (MRCPs) by the International Commission on Radiological Protection, and a program has been developed to convert them to computational tomography images and DICOM-RT structure files for application of radiotherapy. Through this program, the use of the tetrahedral standard phantom has become available in clinical practice, but utilization has been difficult due to various library dependencies requiring a lot of time and effort for installation. To overcome this limitation, in this study a newly developed TET2DICOM-GUI, a TET2DICOM program based on a graphical user interface (GUI), was programmed using only the MATLAB language so that it can be used without additional library installation and configuration. The program runs in the same order as TET2DICOM and has been optimized to run on a personal computer in a GUI environment. A tetrahedron-based male international standard human phantom, MRCP-AM, was used to evaluate TET2DICOM-GUI. Conversion into a DICOM-RT dataset applicable in clinical practice in about one hour with a personal computer as a basis was confirmed. Also, the generated DICOM-RT dataset was confirmed to be effectively implemented in the radiotherapy planning system. The program developed in this study is expected to replace actual patient data in future studies.

• Atmosphere
• /
• v.33 no.5
• /
• pp.561-570
• /
• 2023

In order to improve the predictability of marine high-impacts weather such as typhoon and high waves, the marine observation network is an essential because it could be rapidly changed by strong air-sea interaction. In this regard, the National Institute of Meteorological Sciences, Korea Meteorological Administration (NIMS/KMA) has promoted the Argo float observation program since 2001 to participate in the International Argo program. In this study, current status and future direction of the NIMS/KMA Argo program are presented through the internal meeting and external expert forum. To date, a total of 264 Argo floats have been deployed into the offshore around the Korean Peninsula and the Northwestern Pacific Ocean. The real-time and delayed modes quality control (QC) system of Argo data was developed, and an official regional data assembling center (call-sign 'KM') was run. In 2002, the Argo homepage was established for the systematic management and dissemination of Argo data for domestic and international users. The future goal of the NIMS/KMA Argo program is to improve response to the marine high-impacts weather through a marine environment monitoring and observing system. The promotion strategy for this is divided into four areas: strengthening policy communication, developing observation strategies, promoting utilization research, and activating international cooperation.