Application-Aware Protection in DWDM Optical Networks

International audienceFast recovery time and reduced resource utilization are the two main criteria for determining the quality of survivability mechanism. Now it is well-known that link-based protection and path-based protection provide respectively a short recovery time and reduced use of resources. To benefit from the both of these saliencies, we propose in this paper to use these mechanisms simultaneously. Indeed, demands mandating shorter recovery time will be protected using link-based protection. Meanwhile other demands will be protected using path-based protection. Simulation results show that the proposed solution achieves a good trade-off between resource utilization and recovery time

Wirabar makanan Sihat

Sejenis makanan padat untuk menjana tenaga dihasilkan saintis pemakanan Universiti Kebangsaan Malaysia (UKM)yang akan dipasarkan sebagai kepingan coklat, gel dan minuman dengan jenama WiraBar

Preliminary Study on Sediment Load at Sungai Galing, Kuantan, Pahang

In general, sediment comprises many shapes and sizes. The sediment size can be small, such as sand,small pebbles and silt, or large such as boulders, which are normally found upriver. Sediments found in estuaries are mostly fingrained, such as sand and silt. The speed at which water flows in rivers plays an important part in determining its capacity to carry away sediments. Slower moving rivers will have a lower rate of sediment movement. According to Allison, J (1995), the process of sediment deposition is also dependent on river discharge and speed of river flow. As such, a higher discharge values and water velocity would result in higher amounts of sediment. In addition, time is a factor whereby the longer the sediment deposition process, the higher the sediment loads.Over a period of time, the high amount of sediment will settle down and the accumulated sediment will eat up the river bed thus causing the river to overflow or flooding. Thus, knowledge of the quantity, quality and dynamics of sediments is essential for managing our water resources systems and to against negative effects from happen.A study on sediment load was conducted at the Galing River in three different days which are 28/02/13, 13/03/13 and 27/03/13. Three sampling point representing the length of Galing River which is about 7.7km has been selected: Station 1 (S1) upstream Galing River, Station 2 (S2) mid-streams Galing River and Station 3 (S3) downstream Galing River (Figure 1). Sediment samples were collected using grab sampler. Three sample replications were collected from each station and the finding was presented by the average of the replicated samples. The samples collected were analysed in the laboratory

The 21st century accounting career from the perspective of the Malaysian university students

Using questionnaire setting, this study examines the perception of the Malaysian public university students on the accounting career in Malaysia. This study seeks to identify the respondents’ preferred accounting career, their career exposure, the factors perceived to be important for an accountant and the acquisition qualities of an accountant. The results of this study provide interesting responses from the respondents. More respondents prefer to become a public accountant rather than holding a management post. The respondents obtained their career exposure mostly from the professional accounting bodies and the factors perceived to be most important in an accountant are work performance and self confidence. Salary is also one of the factors perceived to be important for an accountant. The respondents also perceived the essential qualities of an accountant are acquired through education. The results of this study provide insights to the bodies of accounting profession, employers and academics on the nature and relative importance of the factors deemed important for the accounting students in their employment decision and their preferences to employment opportunities

Ransomware Detection and Classification Strategies

Ransomware uses encryption methods to make data inaccessible to legitimate users. To date a wide range of ransomware families have been developed and deployed, causing immense damage to governments, corporations, and private users. As these cyberthreats multiply, researchers have proposed a range of ransomware detection and classification schemes. Most of these methods use advanced machine learning techniques to process and analyze real-world ransomware binaries and action sequences. Hence this paper presents a survey of this critical space and classifies existing solutions into several categories, i.e., including network-based, host-based, forensic characterization, and authorship attribution. Key facilities and tools for ransomware analysis are also presented along with open challenges.Comment: 9 pages, 2 figure

Stochastic Analysis of Cascading-Failure Dynamics in Power Grids

A scalable and analytically tractable probabilistic model for the cascading failure dynamics in power grids is constructed while retaining key physical attributes and operating characteristics of the power grid. The approach is based upon extracting a reduced abstraction of large-scale power grids using a small number of aggregate state variables while modeling the system dynamics using a continuous-time Markov chain. The aggregate state variables represent critical power-grid attributes, which have been shown, from prior simulation-based and historical-data-based analysis, to strongly influence the cascading behavior. The transition rates among states are formulated in terms of certain parameters that capture grid\u27s operating characteristics comprising loading level, error in transmission-capacity estimation, and constraints in performing load shedding. The model allows the prediction of the evolution of blackout probability in time. Moreover, the asymptotic analysis of the blackout probability enables the calculation of the probability mass function of the blackout size. A key benefit of the model is that it enables the characterization of the severity of cascading failures in terms of the operating characteristics of the power grid.

The Preferred Learning Styles Among the Undergraduate Dental Students at Foundation University College of Dentistry, Islamabad

Objective: To determine the preferred learning styles of undergraduate dental students at the Foundation University College of Dentistry, Islamabad. Methodology: A cross sectional study was conducted at Foundation University College of Dentistry, Islamabad in January 2020 over a period of 2 weeks. On the basis of VARK questionnaire, learning styles of first to final year undergraduate dental students were analysed. The questionnaire consisted of 16 items and identified four different learning styles: visual, aural, reading/writing and kinaesthetic. A total of 132 students were included in this study. The filled out questionnaires were scored according to the VARK tool and then statistically analysed to determine the distribution of different learning styles among students. Results: A total of 126 students out of 132 responded with the response rate of 95.5%. The results showed that the frequency of a single learning style (unimodal) in the study population was 63.5% while the frequency of a combination of different learning styles (multimodal) was 36.5%. The frequencies of bimodal, trimodal and quadmodal learning styles were 26.1%, 6.9% and 3.5% respectively. Among the unimodal learning style kinaesthetic topped the list with a frequency of 27.9% while among the  bimodal learning styles auro-kinaesthetic was more frequent accounting for 10.9%. Conclusion: The predominant learning style in our study population was unimodal and had a frequency of 63.5% with kinaesthetic being the chief preference making a major chunk of 27.9% followed by aural learners making up to 20.4%. In bimodal learning styles the most frequent in our study population was auro-kinaesthetic with a frequency of 10.9%

Comparison of food choice motives between malay husbands and wives in an urban community.

The main objective of this study was to determine the motives underlying the selection of foods between husbands and wives in an urban community. This cross-sectional study was carried out in Bandar Baru Bangi, Selangor, Malaysia among 150 married couples aged 20 and above, who voluntarily agreed to participate and were not on any special diet. Data were collected using the Food Choice Questionnaire (FCQ) which measured the health-related and non healthrelated factor that influence people's food choices. It consisted of 36 items designed to assess the reported importance of nine factors: health, mood, convenience, sensory appeal, natural content, price, weight control, familiarity, and ethical concern. In this study, the FCQ was adapted and a new factor, religion (religious guidelines), was included. Demographic characteristics including age, occupation, education, household income and household size were also collected. Data were analysed using SPSS version 16. Results showed that 40.7% of husbands (mean age= 43.33 + 11.16 years) and 55.3% of wives (mean age= 41.28 + 10.93 years) perceived themselves as the main food shopper while 12.0% of the husbands and 85.3% of the wives perceived themselves as the main meal planner. Husbands rated religion as the most prominent factor in food choice motives with a mean average rating of 4.56 + 0.59 on a 5-point rating scale, followed by health and convenience factor. Meanwhile, the wives rated health as the most essential factor with mean average rating of 4.49 + 0.58, followed by religion and convenience factor. Sensory appeal, ethical concerns and familiarity were rated as the bottom three factors of food choice motives among these two groups. Price of foods was not considered as an important factor in making food choices for the subjects in this study. In conclusion, the husbands and wives of this urban community rated religion, health and convenience as the three most important food choice motives in food selection

SDN Testbed for Evaluation of Large Exo-Atmospheric EMP Attacks

Large-scale nuclear electromagnetic pulse (EMP) attacks and natural disasters can cause extensive network failures across wide geographic regions. Although operational networks are designed to handle most single or dual faults, recent efforts have also focused on more capable multi-failure disaster recovery schemes. Concurrently, advances in software-defined networking (SDN) technologies have delivered highly-adaptable frameworks for implementing new and improved service provisioning and recovery paradigms in real-world settings. Hence this study leverages these new innovations to develop a robust disaster recovery (counter-EMP) framework for large backbone networks. Detailed findings from an experimental testbed study are also presented