A Genetic Algorithm Approach for Breaking of Simplified Data Encryption Standard

Farah Al Adwan,Mohammad Al Shraideh,Mohammed Rasol” Saleem Al Saidat 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9

A genetic algorithm (GA) is a search algorithm for solving optimization problems due to it is robustness; it offers benefits over optimization techniques in searching n-dimensional surface. In today's information age, information transfer has increased exponentially. Hence, security, confidentiality and authentication have become important factors in multimedia communications. Encryption is an effective technique that is preserving the confidentiality of data in Internet applications. Cryptanalysis is a technique of encoding and decoding ciphertext in such way it cannot be interpreted by anyone expects sender and receiver. In this paper, GA with an improved crossover operator was used for the cryptanalysis of Simplified data encryption standard problem (S-DES). Results have shown that GA performance is better than brute force search technique in breaking S-DES key.

Layer-Recurrent Network in Identifying a Nonlinear System

Farah Hani Nordin,Farrukh Hafiz Nagi 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10

Layer-Recurrent Network (LRN) is a dynamic neural network and is seen as a promising black box model in identifying a nonlinear system injected with nonlinear input signal. In this paper, LRN will be used to identify a nonlinear, state space 3-axis satellite model. Open loop identification is applied and methodology on nonlinear system identification is presented where the best pair of input and output data is first measured. Using the simulated data, six LRN models are used to identify the satellite dynamics. It is shown that only 200 epochs are needed to train a network to converge to a reasonable mean squared value (mse). LRN output is then compared with the state space model where it shows that LRN model is capable to produce similar results as the state space satellite model without knowing the system’ state and prior knowledge of the system

Pancreatic angiosarcoma: A case report

Farah Najla SUPANDI,Balraj SINGH,Haritharan THAMUTARAM,Kin Foong LIM,Ahmad Ramzi YUSOFF 한국간담췌외과학회 2021 Annals of hepato-biliary-pancreatic surgery Vol.25 No.-

Tracing the Impacts of Mining among Women in Philippine Rural Communities

Farah Y. SEVILLA 이화여자대학교 아시아여성학센터 2015 이화여자대학교 아시아여성학센터 학술대회자료집 Vol.2015 No.1

In the Philippines, large-scale mining impacts on women vary— from the violation of her rights to the different ways in which mining impacts her surroundings. As Tauli-Corpus (1997) put it, while mining has impacts on communities in general, there are disproportionate impacts on women in comparison to men. Furthermore, given the gendered impacts of such aggressive development sideby-side with gender inequality, the woman in question responds differently. However, her struggle against mining is an issue that is often sidelined. This paper aims to explore ways in which mining impacts women in mining-affected communities, specifically, there is a focus on Nueva Vizcaya (Northern Luzon) in terms of how they face this challenge. Essentially, this paper is a careful presentation of how the impacts of mining on society in general differ with women members of the community. There is also the recognition of the role of women as important actors in the struggle for rights, against the impacts of mining on the land, the environment and communities.

Modelling the effects of factors on the stated preference towards telecommuting in IIUM campus, Gombak

Farah Diyanah Ismail,Abdul Azeez Kadar Hamsa,Mohd Zin Mohamed 서울시립대학교 도시과학연구원 2019 도시과학국제저널 Vol.23 No.1

The increase in number of private vehicles has not only taken place in central cities, but has also occurred in university campuses. High use of private vehicles by IIUM community is posing a strain on the ability of the existing road to cope with the increasing traffic volume and parking demand within the campus. Telecommuting is one of the Transportation Demand Management (TDM) measures that aimed at reducing peak hour traffic congestion by allowing commuters to work from home to save their driving time to work, and more importantly to eliminate some vehicle trips. The main objective of this paper is to estimate the effects of the factors on the choice of telecommuting. Three hundred respondents participated in this study through survey questionnaire, which has resulted in a response rate of 67.11%. Findings indicate that 29% and 19.2% of the academic and administrative staff preferred to telecommute, if they were given the option. Multinomial logistic regression was conducted to estimate the effects of socio-economic, trip and work related factors on the preference to telecommute. Parameter estimates on the administrative employees’ preference to telecommute indicate that number of young children, frequency of face-to-face communication and frequency of using email were significant factors in predicting whether an individual is more inclined to choose ‘definitely yes’ towards performing telecommuting as compared to ‘not at all’. As for academic employees, delay time (home-workplace), frequency of face-to-face communication, frequency of using fax machine, frequency of using email and frequency of using mobile network were significant predictors for the preference of ‘definitely yes’ towards telecommuting as compared to ‘not at all’.

Iterative Learning Control for Strictly Unknown Nonlinear Systems Subject to External Disturbances

Farah Bouakrif 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4

This paper deals with Iterative Learning Control ILC schemes to solve the trajectory tracking problem of strictly unknown nonlinear systems subject to external disturbances, and performing repetitive tasks. Two ILC laws are presented, the first law is the high order, i.e., the information (error) of several iterations are used in the control law. The second law is the ILC with forgetting factor, i.e., the control of the preceding iteration is multiplied by a matrix of the gains. Indeed, the advantage of these algorithms, it is not only applicable for nonlinear systems with model uncertainty, but also for nonlinear systems with no data exists, neither in the structure model nor in the system parameters. In addition, the control design is very simple in the sense that there is no requirement on the choice of the learning gains. Furthermore, the convergence of our algorithms is independent of initial conditions. The asymptotic stability of the closed loop system is guaranteed. This proof is based upon the use of a Lyapunov-like positive definite sequence, which is shown to be monotonically decreasing under the proposed control schemes. Finally, simulation results on nonlinear system are provided to illustrate the effectiveness of the proposed controllers.

Risk factors for early postoperative complications after bariatric surgery

Farah Husain,In Ho Jeong,Donn Spight,Bruce Wolfe,Samer G Mattar 대한외과학회 2018 Annals of Surgical Treatment and Research(ASRT) Vol.95 No.2

Purpose: Vertical sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are currently the most common bariatric procedures. Although the safety of these operations has markedly improved, there continues to be a certain rate of complications. Such adverse events can have a significant deleterious effect on the outcome of these procedures and represent a costly burden on patients and society at large. A better understanding of these complications and their predictive factors may help ameliorate and optimize outcomes. Methods: Seven hundred seventy-two consecutive patients who underwent SG or RYGB for morbid obesity between January 2011 and October 2015, in the Division of Bariatric Surgery at a tertiary institution, were included through retrospective review of the medical database. The complications were categorized and evaluated according to severity using the Clavien-Dindo classification system. Significant risk factors were evaluated by binary logistic regression to identify independent predictors and analyzed to identify their relationship with the type of complication. Results: Independent predictors of severe complication after these procedures included male gender, open and revisional surgery, hypertension, and hypoalbuminemia. Hypoalbuminemia had significant associations with occurrence of deep surgical site infection and leak. Open surgery had significant associations with occurrence of superficial and deep surgical site infection and respiratory complications. Independent predictors of severe complication after laparoscopic primary RYGB included previous abdominal surgery. Previous abdominal surgery had significant associations with deep surgical site infection and leak. Conclusion: Recognition and optimization of these risk factors would be valuable in operative risk prediction before bariatric surgery.

Virulence Factors of Staphylococcus aureus Isolates in an Iranian Referral Children’s Hospital

Farah Sabouni,Shima Mahmoudi,Abbas Bahador,Babak Pourakbari,Reihaneh Hosseinpour Sadeghi,Mohammad Taghi Haghi Ashtiani,Bahram Nikmanesh,Setareh Mamishi 질병관리본부 2014 Osong Public Health and Research Persptectives Vol.5 No.2

Objectives: The clinical importance of Staphylococcus aureus (S. aureus) is attributed to notable virulence factors, surface proteins, toxins, and enzymes as well as the rapid development of drug resistance. The aim of this study was to compare the occurrence of virulence factors produced by S. aureus strains isolated from children in an Iranian referral children’s hospital. Methods: The presence of genes encoding for the enterotoxins A (sea), B (seb), C (sec), D (sed ), TSST-1 (tsst), exfoliative toxin A (eta), and exfoliative toxin B (etb) were detected by Multiplex polymerase chain reaction (PCR) using specific primers. In addition, the standardized Kirby-Bauer disc-diffusion method was performed on Mueller-Hinton agar. Results: In total, 133 S. aureus isolates were obtained from different patients. Of these S. aureus isolates, 64 (48%) were methicillin-resistant S. aureus (MRSA), and all of these tested positive for the mecA gene. Regarding the classical enterotoxin genes, sea gene (40.6%) was the most prevalent followed by seb (19.6%), tsst (12.8%), eta (11.3%), etb (9%), sed (4.5%), and sec (3%). Among methicillin-susceptible S. aureus (MSSA) isolates, seb and tsst were the more prevalent toxins in comparison with MRSA isolates (p < 0.05), while the frequency of sea, sed, eta, and etb genes were higher among MRSA isolates (p > 0.05). Conclusion: In our study enterotoxin A was produced by 40.6% of the isolates (48% from MRSA and 33% from MSSA isolates) which was higher than in previous reports. According to our results, strict hygiene and preventative measures during food processing are highly recommended.

An Artificial Intelligence Approach for Word Semantic Similarity Measure of Hindi Language

( Farah Younas ),( Jumana Nadir ),( Muhammad Usman ),( Muhammad Attique Khan ),( Sajid Ali Khan ),( Seifedine Kadry ),( Yunyoung Nam ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6

AI combined with NLP techniques has promoted the use of Virtual Assistants and have made people rely on them for many diverse uses. Conversational Agents are the most promising technique that assists computer users through their operation. An important challenge in developing Conversational Agents globally is transferring the groundbreaking expertise obtained in English to other languages. AI is making it possible to transfer this learning. There is a dire need to develop systems that understand secular languages. One such difficult language is Hindi, which is the fourth most spoken language in the world. Semantic similarity is an important part of Natural Language Processing, which involves applications such as ontology learning and information extraction, for developing conversational agents. Most of the research is concentrated on English and other European languages. This paper presents a Corpus-based word semantic similarity measure for Hindi. An experiment involving the translation of the English benchmark dataset to Hindi is performed, investigating the incorporation of the corpus, with human and machine similarity ratings. A significant correlation to the human intuition and the algorithm ratings has been calculated for analyzing the accuracy of the proposed similarity measures. The method can be adapted in various applications of word semantic similarity or module for any other language.

New antimicrobial flavonoids and chalcone from Colutea armata

Farah Inamullah,Itrat Fatima,Sadia Khan,Mehdi Hassan Kazmi,Abdul Malik,Rasool Bakhsh Tareen,Tanveer Abbas 대한약학회 2017 Archives of Pharmacal Research Vol.40 No.8

Colucins A (1) and B (2), new flavonoids andcolucone (3), the new chalcone derivative, have been isolatedfrom the CHCl3-soluble fraction of the whole plant ofColutea armata along with luteolin (4), luteolin 7-O-b-Dglucoside(5), isoliquiritigenin (6), trans-caffeic acid (7)and stigmasterol (8) reported for the first time from thisspecies. Their structures were elucidated by spectroscopictechniques including MS and 2D-NMR spectroscopy. Compounds 1 and 2 showed significant antimicrobialactivity against two Gram positive and three Gram negativebacterial strains while 3 was moderately active.