Video Traffic Modeling using Kolmogorov Smirnov Analysis in Broadband Network

Video Traffic utilization is one of the major issues for Quality of Service (QoS) for network traffic especially in broadband network. Most network administrators are looking at providing best QoS and reliable traffic performances especially on video traffic. Analysis on recent trend and modeling video traffic activity is a crucial task in providing better bandwidth usage. This research presents an analysis on video network traffic in a Broadband Network in Malaysia. Real data from a telecommunications service company based for Business and Home network are collected. Traffic characterization is analyzed and new traffic parameters and model are presented. Goodness of fit (GoF) and Kolmogorov Smirnov (KS) test is used to fit the real traffic in getting the best Traffic distribution model. Results present four top video used in the network traffic which are You Tube, MPEG, TV on Streamyx and Dailymotion using standard video protocol. Fitted traffics presents Pareto model is best fitted on video traffic. Generalized Pareto (GP) with Empirical Cumulative Distribution function (CDF) distribution is identified as the best distribution model. The fitted Generalized Pareto model was identified based on lower Kolmogorov-Smirnov (KS) value and higher probability value (p-value). Test statistics for four particular distribution results at 5% level significance. GP characterization presents three important parameters which are shape, scale and location. A new mathematical formulation is derived based on control parameters gathered for future rate limiting algorithm

Stems' diameter variations to detect sympodial orchids' water stress / Naimah Mat Isa … [et al.]

The measurements of stems' has played an important indicator for plant's water status. Many researches have been carried out in terrestrial plants to investigate the stems' variations of responses that had inspired to develop a precise irrigation system. Hence, the work presented in this thesis investigates the stems' variations in epiphyte plants that are sympodial orchids. A strain gauge was used as a sensor to measure the orchid's stem variation for 48 days at two stages of measurements. The Dendrobium orchid that grew from tissue culture was chosen as a sampling plant due to its popularity as a cut flower in the world's demand. The experiment was done within 30 days involving 10 samples of orchid plants growing indoor and outdoor. The measurements were recorded every 15 minutes continuously along the experiment executed. The 2 mm aluminium strain gauge and it's signal conditions that integrated with PIC produced a correlation at 0.96 between its output and the changes in displacement. The results showed that the stems' diameter variations in Dendrobium orchids could be manipulated for further analysis and it had played a significant role for triggering further researches in the developments of a precise watering system in the orchid farms

Graphene coated silica microfiber for highly sensitive magnesium sensor

A high sensitivity and simple magnesium sensor based on an silica optical microfiber coated with graphene for the detection of different concentrations of magnesium in de-ionized water is developed and demonstrated. The silica microfiber probe is fabricated by flame brushing technique and it has a waist diameter of 6 μm with tapering length of 3 cm. The microfiber is coated with graphene, which functions as a sensing layer using drop coating method. It is observed that the output power from the probe decreases as the magnesium concentration increases. Without the graphene coating, the sensor has a sensitivity of 12.1 dB/% with slope linearity of more than 98.31% and resolution of 0.0102%. However, the sensitivity of the sensor is significantly improved to 19.63 dBm/% with better slope linearity of 99.25% and resolution of 0.0038% as the graphene is coated onto the silica microfiber probe. The resonant peak also shifts to a longer wavelength as the concentration of magnesium solution increased

MWCNTs coated silica microfiber sensor for detecting Mg2+ in de-ionized water

A multi-walled carbon nanotubes (MWCNTs) coated silica microfiber sensor for the detection of magnesium ions (Mg2+) in de-ionized water is reported. The change refractive index in the MWCNTs when sensor is being immersed in the magnesium solution is used as the working principle. The silica microfiber probe is fabricated by flame brushing technique and has a waist diameter of 6 μm with tapering length of 3 cm. The performance of the sensor is suitable for the low concentration ranging from 0.1% to 0.5% and as the sensitivity (Mg2+) solution increased, the transmitted power decreased. The results demonstrate that MWCNTs coated silica microfiber has many advantages such as low cost, enhanced sensitivity of the sensor and capability of a real time monitoring detection of (Mg2+)

Detection of Honey Adulteration by Addition of Glucose via a Microfiber Coupler

Honey adulteration has become more attractive to producers owing to the limited production levels in recent years and the relative high price of honey. Therefore, the need for more effective and accessible methods aiming at detecting honey adulteration has increased. The present research presents a simple and rapid method to detect adulteration in honey falsified by intentional addition of different concentrations of glucose, using a microfiber coupler (MFC). Different percentage ratios of adulterated honey were prepared; namely 1%, 2%, 3%, 4%, 5% and 6%. The sensor was fabricated by flame brushing technique for detection of glucose in adulteration honey. The proposed sensor furnished acceptable results with a sensitivity of 0.9011 μW/%

Optical Microfiber Sensing of Adulterated Honey

A simple microfiber sensor is proposed and demonstrated for the detection of honey adulteration. The sensor uses a polymer microfiber and a silica microfiber probe. The polymer microfiber is fabricated using a direct drawing method from molten poly (methyl methacrylate) and has a waist of 2.3μm and a length of 3 mm, whereas the silica microfiber is fabricated using the flame brushing technique and has a waist of 2.5μm and a length of 3 mm. The probe is immersed in a honey adulteration solution and senses the relative honey adulteration using intensity modulation technique. Six types of honey samples were adulterated with different percentages of glucose. As honey adulteration varies from 1% to 6%, the transmission power of the polymer microfiber decreases from 3.51 to 1.15μ W with a sensitivity of 0.49μW% and a linearity of more than 96.97%. Meanwhile, the transmission power of the silica microfiber decreases from 14 to 7μW with a sensitivity of 1.37μ W% and a linearity of more than 96.80%