• Convergence Security Journal
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• v.16 no.1
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• pp.81-87
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• 2016

In this paper, we propose a forgery/falsification detection technique of web site using the images. The proposed system captures images of the web site when a user accesses to the forgery/falsification web site that has the financial information deodorizing purpose. The captured images are compared with those of normal web site images to detect forgery/falsification. The proposed system calculates similarity factor of normal site image with captured one to detect whether the site is normal or not. If it is determined as normal, analysis procedure is finished. But if it is determined as abnormal, a message informs the user to prevent additional financial information spill and further accidents from the forgery web site.

• Journal of Korean Society for Quality Management
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• v.48 no.4
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• pp.581-596
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• 2020

Purpose: purpose of this study was to propose the web application platform which can be to detect and discriminate various diseases and pest of tomato plant based on the large amount of disease image data observed in the facility or the open field. Methods: The deep learning algorithms uesed at the web applivation platform are consisted as the combining form of Faster R-CNN with the pre-trained convolution neural network (CNN) models such as SSD_mobilenet v1, Inception v2, Resnet50 and Resnet101 models. To evaluate the superiority of the newly proposed web application platform, we collected 850 images of four diseases such as Bacterial cankers, Late blight, Leaf miners, and Powdery mildew that occur the most frequent in tomato plants. Of these, 750 were used to learn the algorithm, and the remaining 100 images were used to evaluate the algorithm. Results: From the experiments, the deep learning algorithm combining Faster R-CNN with SSD_mobilnet v1, Inception v2, Resnet50, and Restnet101 showed detection accuracy of 31.0%, 87.7%, 84.4%, and 90.8% respectively. Finally, we constructed a web application platform that can detect and discriminate various tomato deseases using best deep learning algorithm. If farmers uploaded image captured by their digital cameras such as smart phone camera or DSLR (Digital Single Lens Reflex) camera, then they can receive an information for detection, identification and disease control about captured tomato disease through the proposed web application platform. Conclusion: Incheon Port needs to act actively paying.

• Educational Technology International
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• v.14 no.2
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• pp.215-228
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• 2013

In engineering education practical experiments is very important for each student, but due to the limitation of time and available resources such as laboratory equipment, space and instructors enough hands-on real experiments could not be provided to all students enrolled in the program throughout the academic year. In this sense web-based remote experiments through internet become a solution for engineering education and an emerging new paradigm for students and teachers. This paper presents the development of the web-based remote vibration experiment system for mechatronics education. Students can access this experimental equipment through an internet and conduct vibration experiment remotely without any restriction on time and place. IP address for data communication and web-service are assigned in local computer and then students receive experimental results and the captured pictures using network. The developed system provides real-time feedback of the tested results. Ubiquitous access to the system gained popularity from students.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1942-1949
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• 2016

This paper proposed automatic path-tracing methods for Flying Disc Golf by adopting IoT comcepts at smart-marker. We tried to implement service system by making database. Smart-marker's configurations & roles are proposed. By making test-boards and adoption to various Flying Disc Golf games, the efficiency is proved. The positions and distances captured by the smart-marker are transferred to the smart-pole per each hole. The smart-pole captured them and transfers to web-server which is databased them. The result can be searched by web or smartphone in real time.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.147-150
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• 2003

In this paper, we describe a remote surveillance system to monitor the states of remote processes through Internet on Web browser The images captured from multiple remote cameras are transferred to data server exploiting RTP (Real-time Transport Protocol) and displayed up to 4 channels simultaneously. The angle of cameras is moved vertically an horizontally through RS-232C communication line by motor control board e벼ipped with AT90S2313 CPU.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.841-844
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• 2005

Computer vision technology can be used to interpret the images captured by web cameras installed on construction sites to automatically quantify the results. This information can be used for quality control, productivity measurement and to direct construction. Steel frame construction is particularly well suited for automatic monitoring as all structural members can be viewed from a small number of camera locations, and three-dimensional computer models of steel structures are frequently available in a standard electronic format. A system is being developed that interprets the 3-D model and directs a camera to look for individual members as regular intervals to determine when each is in place and report the results. Results from a simple lab-scale system are presented along with preliminary full-scale development.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.1
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• pp.9-16
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• 2017

In modern society, everyone can easily access the Internet and freely express their opinions or ideas on Web bulletin boards or SNS. At the same time, they are often used as a place of slandering and the spreading of false information about celebrities such as entertainers and politicians. Typically people use the screen capture method to submit web posts as evidence in lawsuits. But it is difficult to get these accepted as evidence in court because screen captured images are easily forged and tempered. Therefore, as described above, using "Proxy Browser", we propose a screen capture authentication system for web posts that protects forging and tempering to use as digital evidence in court.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.77-85
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• 2019

In this paper, we propose a "Safe Web Using Scrapable Headless Browse" Because in a network separation environment for security, It does not allow the Internet. The reason is to physically block malicious code. Many accidents occurred, including the 3.20 hacking incident, personal information leakage at credit card companies, and the leakage of personal information at "Interpark"(Internet shopping mall). As a result, the separation of the network separate the Internet network from the internal network, that was made mandatory for public institutions, and the policy-introduction institution for network separation was expanded to the government, local governments and the financial sector. In terms of information security, network separation is an effective defense system. Because building a network that is not attacked from the outside, internal information can be kept safe. therefore, "the separation of the network" is inefficient. because it is important to use the Internet's information to search for it and to use it as data directly inside. Using a capture method using a Headless Web browser can solve these conflicting problems. We would like to suggest a way to protect both safety and efficiency.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.1-8
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• 2016

Nowadays, distributed denial of service (DDoS) attacks on web sites reward attackers financially or politically because our daily lifes tightly depends on web services such as on-line banking, e-mail, and e-commerce. One of DDoS attacks to web servers is called HTTP-GET flood attack which is becoming more serious. Most existing techniques are running on the application layer because these attack packets use legitimate network protocols and HTTP payloads; that is, network-level intrusion detection systems cannot distinguish legitimate HTTP-GET requests and malicious requests. In this paper, we propose a practical detection technique against HTTP-GET flood attacks, based on the access behavior of inline objects in a webpage using NetFlow data. In particular, our proposed scheme is working on the network layer without any application-specific deep packet inspections. We implement the proposed detection technique and evaluate the ability of attack detection on a simple test environment using NetBot attacker. Moreover, we also show that our approach must be applicable to real field by showing the test profile captured on a well-known e-commerce site. The results show that our technique can detect the HTTP-GET flood attack effectively.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.29-39
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• 2003

In this paper we proposed dynamic adaptive model based on discrete probabilistic distribution functions and user's profile for web media systems(web based hypermedia systems). The model represented that the application domain is modelled using a weighted direct graph and the user's behaviour is modelled using a probabilistic approach that dynamically constructs a discrete probability distribution functions. The proposed probabilistic interpretation of the web media structure is used to characterize latent properties of the user's behaviour, which can be captured by tracking user's browsing activity. Using that distribution the system attempts to assign the user to the best profile that fits user's expectations.