• 천문학회지
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• 제52권5호
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• pp.207-216
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• 2019

In this paper we introduce a software package, the Very long baseline interferometry Network SIMulator (VNSIM), which provides an integrated platform assisting radio astronomers to design Very Long Baseline Interferometry (VLBI) experiments and evaluate the network performance, with a user-friendly interface. Though VNSIM is primarily motivated by the East Asia VLBI Network, it can also be used for other VLBI networks and generic interferometers. The software package not only integrates the functionality of plotting (u, v) coverage, scheduling the observation, and displaying the dirty and CLEAN images, but also adds new features including sensitivity calculations for a given VLBI network. VNSIM provides flexible interactions on both command line and graphical user interface and offers friendly support for log reports and database management. Multi-processing acceleration is also supported, enabling users to handle large survey data. To facilitate future developments and updates, all simulation functions are encapsulated in separate Python modules, allowing independent invoking and testing. In order to verify the performance of VNSIM, we performed simulations and compared the results with other simulation tools, showing good agreement.

• 한국기계가공학회지
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• 제20권10호
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• pp.102-111
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• 2021

Maintainability is a major design parameter that includes availability as well as reliability in a RAM (reliability, availability, maintainability) analysis, and is an index that must be considered when developing a system. There is a lack of awareness of the importance of predicting and analyzing maintainability; therefore, it is dependent on past-experience data. To improve the utilization rate, maintainability must be managed as a key indicator to meet the user's requirements for failure maintenance time and to reduce life-cycle costs. To improve the maintainability-prediction accuracy in the detailed design stage, we present a maintainability-prediction method that applies Method B of the Military Standardization Handbook (MIL-HDBK-472) Procedure V, as well as a Korean maintainability-prediction software package that reflects the system complexity.

• Nuclear Engineering and Technology
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• 제53권9호
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• pp.3058-3067
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• 2021

Sodium zinc borate glasses doped with dysprosium and modified with different concentrations of barium oxide (0-50 mol %) were fabricated using the melting quenching technique. The structural properties of the prepared glass systems were characterized using XRD and FTIR methods. The absorption spectra of the prepared glasses were measured to determine their energy gap and their related optical properties. The density of the glasses and other physical parameters were also reported. Additionally, with the help of Photon Shielding and Dosimetry (PSD) software, we investigated the radiation shielding parameters of the prepared glass systems at different energy values. It was found that an increase in the density of the glasses by increasing the concentration of BaO significantly improved the gamma ray shielding ability of the samples. For practical results, a compatible irradiation set up was designed to check the shielding capability of the obtained glasses using a gamma ray source at 662 keV. The experimentally obtained results strongly agreed with the data obtained by PDS software at the same energy. These results demonstrated that the investigated glass system is a good candidate for several radiation shielding applications when comparing it with other commercial shielding glasses and concretes.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.202-209
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• 2023

Android malware is now on the rise, because of the rising interest in the Android operating system. Machine learning models may be used to classify unknown Android malware utilizing characteristics gathered from the dynamic and static analysis of an Android applications. Anti-virus software simply searches for the signs of the virus instance in a specific programme to detect it while scanning. Anti-virus software that competes with it keeps these in large databases and examines each file for all existing virus and malware signatures. The proposed model aims to provide a machine learning method that depend on the malware detection method for Android inability to detect malware apps and improve phone users' security and privacy. This system tracks numerous permission-based characteristics and events collected from Android apps and analyses them using a classifier model to determine whether the program is good ware or malware. This method used the machine learning techniques KNN-SVM, DBN, and GRU in which help to find the accuracy which gives the different values like KNN gives 87.20 percents accuracy, SVM gives 91.40 accuracy, Naive Bayes gives 85.10 and DBN-GRU Gives 97.90. Furthermore, in this paper, we simply employ standard machine learning techniques; but, in future work, we will attempt to improve those machine learning algorithms in order to develop a better detection algorithm.

• Journal of Positioning, Navigation, and Timing
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• 제4권4호
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• pp.173-180
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• 2015

In this study, an algorithm that detects a spoofing signal for a GPS L1 signal was proposed, and the performance was verified through RF spoofing signal simulation. The proposed algorithm determines the reception of a spoofing signal by detecting a correlation distortion of GPS L1 C/A code caused by the spoofing signal. To detect the correlation distortion, a detection criterion of a spoofing signal was derived from the relationship among the Early, Prompt, and Late tap correlation values of a receiver correlator; and a detection threshold was calculated from the false alarm probability of spoofing signal detection. In this study, an RF spoofing environment was built using the GSS 8000 simulator (Spirent). For the RF spoofing signal generated from the simulator, the RF spoofing environment was verified using the commercial receiver DL-V3 (Novatel Inc.). To verify the performance of the proposed algorithm, the RF signal was stored as IF band data using a USRP signal collector (NI) so that the data could be processed by a CNU software receiver (software defined radio). For the performance of the proposed algorithm, results were obtained using the correlation value of the software receiver, and the performance was verified through the detection of a spoofing signal and the detection time of a spoofing signal.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.186-192
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• 2023

Malwares are becoming a major problem nowadays all around the world in android operating systems. The malware is a piece of software developed for harming or exploiting certain other hardware as well as software. The term Malware is also known as malicious software which is utilized to define Trojans, viruses, as well as other kinds of spyware. There have been developed many kinds of techniques for protecting the android operating systems from malware during the last decade. However, the existing techniques have numerous drawbacks such as accuracy to detect the type of malware in real-time in a quick manner for protecting the android operating systems. In this article, the authors developed a hybrid model for android malware detection using a decision tree and KNN (k-nearest neighbours) technique. First, Dalvik opcode, as well as real opcode, was pulled out by using the reverse procedure of the android software. Secondly, eigenvectors of sampling were produced by utilizing the n-gram model. Our suggested hybrid model efficiently combines KNN along with the decision tree for effective detection of the android malware in real-time. The outcome of the proposed scheme illustrates that the proposed hybrid model is better in terms of the accurate detection of any kind of malware from the Android operating system in a fast and accurate manner. In this experiment, 815 sample size was selected for the normal samples and the 3268-sample size was selected for the malicious samples. Our proposed hybrid model provides pragmatic values of the parameters namely precision, ACC along with the Recall, and F1 such as 0.93, 0.98, 0.96, and 0.99 along with 0.94, 0.99, 0.93, and 0.99 respectively. In the future, there are vital possibilities to carry out more research in this field to develop new methods for Android malware detection.

• Corrosion Science and Technology
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• 제14권2호
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• pp.76-84
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• 2015

The components in ultra super critical (USC) steam turbine, which is under development for high efficient power generation, are encountering harsher solid particle erosion by iron oxide scales than ones in the existing steam turbines. Therefore, the currently used boride coating will not be able to hold effective protection from particle erosion in USC system and should be replaced by new particle erosion resistant coatings. One of the best protective coatings developed for USC steam turbine parts was found to be vanadium-boride (V-boride) coating which has a hardness of about 3000 HV, much higher than that of boride, 1600~2000 HV. In order to evaluate particle erosion resistance of the various coatings such as V-boride, boride and Cr-carbide coatings at high temperature, particle erosion test equipments were designed and manufactured. In addition, erosion particle velocity was simulated using FLUENT software based on semi-implicity method for pressure linked equations revised (SIMPLER). Based on experimental results of this work, the vanadium-boride coating was found to be superior to others and to be a candidate coating to replace the boride coating.

• 한국정보통신학회논문지
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• 제21권6호
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• pp.1155-1160
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• 2017

본 연구는 신뢰성 향상 기반의 송풍전자장치 자동검사 시스템을 구현하기 위한 연구이다. 신뢰성향상을 위해 수동검사 시스템에서 자동검사 시스템은 전자제품 검사의 오류를 최소화한다. 송풍전자장치 자동화 검사 시스템은 제어시스템과 모니터링시스템으로 구성되어 되어 실시간으로 검사결과를 공유한다. 검사시스템의 신뢰성은 Gage R&R 분석기법을 적용하여 평가한다, 평가결과는 수동검사에 비해 풍압센서를 기반으로 검사속도 2배 이상, 측정오차 ${\pm}0.02V$, 판정 능력의 유효성 15%, 누락확률 17%, 허위경보확률 12% 등으로 향상되었다. 따라서 전자제품 자동검사 시스템은 제품 바코드와 연동시켜 데이터베이스화하면 효율적인 신뢰성 향상의 품질관리시스템으로 발전시킬 수 있다.

• 한국통신학회논문지
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• 제40권11호
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• pp.2113-2120
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• 2015

본 논문에서는 유럽형 2세대 디지털 지상파, 케이블, 위성 방송을 하나의 수신기로 수신할 수 있는 통합 수신기의 구현 방법을 제안한다. 통합 수신기는 튜너부, 수신기 엔진, 프레임 프로세서, A/V 복호기로 구성된다. 수신기 엔진은 DVB-T2, DVB-C2, DVB-S2에 대한 복조 및 채널 복호 기능을 수행하고, 프레임 프로세서는 디인터 리빙 및 프레임 디코딩 기능을 수행한다. 수신기 엔진은 2개의 FPGA로 구현되었고, 프레임 프로세서는 DSP 기반 임베디드 소프트웨어로 구현되었다. 구현된 통합 수신기를 검증하기 위해 실험실 환경에서 동작 실험을 진행하였고, DVB-T2, DVB-C2, DVB-S2 방송을 송신하기 위해 PC기반의 상용 송신기가 사용되었다. 실험 결과 다양한 동작 모드에서 수신 요구 사항을 모두 만족하였다.

• 센서학회지
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• 제13권5호
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• pp.356-362
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• 2004

In this study, we developed the measuring system based on light addressable potentiometric sensor for the quantitative analysis of penicillin that is very important element in medicine and pharmacy, clinic. It is investigated the response characteristics by enzyme reaction with penicillinase. First, the surface pre-treatment process of the $Si_{3}N_{4}$ was established. The coupling agent was made using self assembled monolayer method and it was confirmed the immobilization process by AFM. Also, as the measuring system, potentiostat, signal processing part etc. was made by Lab VIEW software, it was reduced detecting time as well as simplifying the system. Fabricated device was shown excellent pH response characteristics, 57 mV/ pH in the range of pH $2{\sim}11$. The response characteristics was 60 mV/decade in the range of $0.1{\sim}10{\;}mM$.