Earticle

전 세계의 인터넷 사용자들이 매일 유튜브를 시청하지만, 검색결과에 대한 추천 알고리즘을 정확히 인지하는 이용자는 극히 드물며, 구글과 유튜브는 이를 공개하지 않고 있다. 연구자들은 공개되어 있지 않은 유튜브의 알고리즘을 역공학설계 방식으로 탐색하고, 핵심적 요인을 찾아 미디어 플랫폼 사업자들이 어떤 논리적 구조로 키워드 검색결과를 추천하고, 화면에 배열하는지 확인하고자 하였다. 따라서 연구자들은 수개월에 걸친 논의와 데이터의 수집을 통해 기초 적인 콘텐츠 우선순위 요인을 연구하였으며 수집된 키워드 검색 결과 중에 남, 여 성별에 따른 추천결과를 토대로 영향 요인을 역설계하고자 하였다. 비록 연구자들의 설계는 매시간 수백시간 이상 업로드되고 시청되는 거의 무한한 수준의 데이터 중에서 일부를 분석한 것에 그치지 않지만, 이러한 탐색적 시도가 향후 미디어 플랫폼 알고리즘을 연구하고, 사업자 들의 의도를 파악하며, 사용자를 보호할 수 있을 것으로 보았다.

Despite the fact that Internet users around the world watch YouTube every day, very few users accurately recognize the recommendation algorithm for search results, and Google and YouTube are not disclosing it. Researchers tried to explore the undisclosed algorithm of YouTube in a reverse engineering design method, find key factors, and check the logical structure in which media platform operators recommend keyword search results and arrange them on the screen. Therefore, researchers studied the basic content priority factors through several months of discussion and data collection, and tried to reverse engineer the influencing factors based on the recommendation results according to male and female gender among the collected keyword search results. Although researchers' design only analyzed some of the almost infinite level of data uploaded and viewed for more than hundreds of hours every hour, these exploratory attempts will study media platform algorithms in the future, understand the intentions of operators, and protect users. thought it could be done.

This paper described the application of reverse engineering in product design and development; effectively solved the design and subsequent engineering design, manufacturing link disjoint problems; put forward a kind of using computer software Pro/Designer, Pro/ Engineer and SolidWorks seamless connection method in the process of product design; industrial product modeling design and the engineering and manufacturing of coherence have opened up a new way; the design process will provide effective measures for the product design system, so as to shorten the product design and development cycle and realize the product design system.

If software design-patterns could be captured and reused then this would be very helpful to reverse-engineering often practiced by those who develop and who maintain software. The ad-hoc nature and informality of this reverse-engineering process however, makes the discovery of these patterns not straightforward. Moreover, a high false positive rate results from trying to detect these design-patterns. Although several static and dynamic analysis approaches have been proposed to overcome these difficulties, each technique cannot be used separately because of different reasons. And, even if this were possible, each technique in isolation cannot address detection of all of the important patterns. We propose a new taxonomy of GoF design patterns that can guide the reverse-engineering process. This new approach not only combines static analysis with dynamic analysis but also adds what we call the implementation-specific analysis. Using it we demonstrate that the reverse engineering process is faster and more accurate.

In various areas of the 4th industry, a big issue is software quality enhancement for stability and reliability of the smart software systems. After revising software promotion law at 2020, we must clearly define requirements and separate design parts and implementation parts of an all public software development contracts. In this study, we need to validate whether the final implementation of software is followed by the original design or not. To do this, we consider the design restoration through software visualization based on reverse engineering. Therefore we propose an UML design extraction and visualization method based on reverse engineering. Based on this, we may validate whether it is implemented according to the original design, and how much visualizes and includes the code the internal complexity for improvement of software quality.

SRAM-based Field Programmable Gate Arrays (FPGAs) are more widely used compared to Flash-based and anti-fuse based FPGAs in various industries. One disadvantage of the SRAM-based FPGA is that SRAM is natively volatile and thus it requires additional nonvolatile memory to store the netlist information of the circuit outside the FPGA. When the FPGA is powered on, the bitstream file is transferred from the external nonvolatile memory to the SRAM-based FPGA. The secure issues arise if the bitstream is modified or corrupted by attacker resulting in a fatal problem in the circuit. Therefore, reverse engineering that converting a bitstream into an internal netlist is necessary to find such harmful modification. In this paper, we describe the overall process of reverse engineering based on ISE design tools in details. According to the experimental results, the proposed reverse engineering tool can recover 88% internal circuit as for the example of 64-bit LFSR design.

Ventilated disc was improved for reducing judder and heat. But the crack among vent holes occurs due to stress concentration. We investigate the stress distribution of vent holes. The vent holes with shape of a right angle, a chamfer and rounding was analyzed. The result of FEA was that rounded vent holes have a minimum stress. Also Maximum stress distributed within holes. Therefore We suggest that the rounded vent holes is good to reduce the crack.

소프트웨어의 전체 비용 중에서 유지보수 비용이 절반 이강을 차지하고 있기 때문에, 이 비용을 줄이기 위한 도구가 필요하다. 유지보수를 위한 공학적인 기법들 중에서 역 공학은 원시 코드로부터 설계 정보를 추출하고 원시 코드를 다른 형태 혹은. 좀 더 추상화된 형태로 표현하는 과정이다. 본 논문에서는 역 공학 기법을 적용하여. 기존 COBOL 프로그램으로부터 프로그램들 간의 호출 관계. 프로그램 내의 논리 구조와 프로그램의 자료 흐름에 대한 정보를 추출하는 방법에 대해서 제안하고 회복된 설계 정보로부터 프로그램 구조조도와 모듈 구조도를 생성하는 방법에 대해서 제시한다. 원시 코드로부터 정확하게 생성된 구조도는 유지보수 자가 프로그램을 전체적으로 혹은, 구체적으로 이해하도록 지원하는 중요한 정의가 될 것이다. 또한. 유지보수 자가 프로그램을 재분석할 때 혹은 다른 유지보수 자들이 그 프로그램을 분석할 때. 명확하게 수정된 구조도는 유지보수 자들에게 프로그램을 더욱 쉽게 이해하도록 지원하게 될 것이다.

The maintenance cost accounts for over a half of all software costs. Maintenance tools can be used to reduce It. All other maintenance techniques. reverse engineering Is a process of analyzing source code to extract design information and to create representation of it In another form or at the higher level of abstraction. In this thesis. we propose a method to extract the call relationships among programs. the logic structure In program and the data flow of programs iron COBOL source Programs using reverse engineering. We also present a method to generate the structure chart of programs and modules. The structure chart generated from source code provides very important information to understand programs In details. The structure chart modified will be more helpful the maintainer to understand programs when he analyzes them later or others analyze them.

Purpose: The study focused on localization of the enhanced applique armor kit (EAAK), which are applied to Korea Assault Amphibious Vehicle (KAAV). Methods: For this propose, we developed the manufacturing technology by analyzing the original products. Considering the conditions used in the military, we made the test evaluation criteria. Results: In results, The EAAK developed through this research performs equivalent performance compared to Rafael, Co. Thus, It is possible not only stably supply a parts of EAAK for maintenance, but also to reduce costs due to import substitution effect. Conclusion: It is expected that the manufacturing technology and test evaluation criteria accumulated through this study can be used in the localization of similar parts.