Earticle

최근 선행 연구들은 웹 기반의 인지 실험에서 측정된 반응 시간의 타당도와 신뢰도가 오프라인 실험에서 측정된 반응 시간과 유사하다고 보고하고 있다. 본 연구는 기존의 오프라인 자기조절읽기과제에서 발견되었던 단어 예측성 효과를 PsychoPy와 Pavlovia를 이용한 온라인 실험 플랫폼을 통해 반복 검증하여 효과적인 실험연구 방안을 마련하고자 고안되었다. 이를 위하여 문장 내의 목표 단어가 문맥상 예측 가능한 경우와 예측이 어려운 경우의 자기조절읽기 시간을 비교하였다. 그 결과, 예측 가능한 단어에 비해 예측하기 어려운 단어의 읽기 시간이 더 길었다. 이는 웹 기반 실험에서도 오프라인 실험과 마찬가지로 단어 예측성 효과를 발견할 수 있다는 것을 보여주는 것으로 비대면이 일상화된 최근의 상황에서 인지심리학 연구를 위한 온라인 플랫폼 활용의 유효성을 시사한다.

Recent studies suggest that response times (RTs) measured in web-based cognitive experiments are as valid and reliable as the RTs measured in offline experiments. The present study aimed to replicate the effects of word predictability in self-paced sentence reading, which had been found in offline experiment results, using an online experiment platform implemented with PsychoPy and Pavlovia. To do this, we compared the self-paced reading times for a predictable word in a sentential context with those for an unpredictable word. Results of our web-based self-paced reading task showed a significantly longer RT for words that are difficult to predict given the context compared to predictable words. This finding successfully replicates the word predictability effect in sentence processing, thus supporting the use of online platforms for cognitive/psychological experiments at the era of the untact.

In this paper an attempt has been made to develop Predator- prey Models on interaction between Computer worms, Trojan horse and antivirus software inside a computer system. Five mathematical models are proposed to study the Predator-prey system inside a computer system. In mathematical model 1, the prey consists of uninfected files, whereas, the predator consists of computer worms. In mathematical model 2, the infected files constitute the prey and anti-virus software is the predator. In mathematical model 3, Effect of new or updated antivirus software on such computer worms which are quarantine or not completely recovered by the lower version of installed antivirus software in the system is studied which switches the rate of infection to zero. In mathematical model 4, Reactivation of computer worms when they are in the latent class is mathematically formulated. In mathematical model 5, we have attempt to develop and understand the recent attack of the Trojan horse Backdoor. Kihomchi and Trojan.Zbot!gen74 and its removal by newly available tool NPE.exe. The stability of the result is stated in terms of the Jacobian of the system and the basic reproduction number is also well defined for all models. Numerical methods and MATLAB are employed to solve and simulate the system of equations developed and analysis of the models gives remarkable exposure.