Prestasi Kaedah Penilaian Pertanyaan Dalam Pangkalan Data Teragih

Tesis ini membincangkan tentang kajian kaedah-kaedah penilaian pertanyaan yang dipilih di dalam pangkalan data teragih (PDT). PDT adalah gabungan dua konsep teknologi iaitu pangkalan data dan sistem rangkaian komunikasi. Pertanyaan (query) yang diberi kepada PDT adalah dalam bentuk ungkapan kalkulus yang akan diterima oleh pemproses pertanyaan (query processor) dan diterjemahkan melalui empat aras pemprosesan iaitu pemecahan pertanyaan, penempatan data, pengoptimuman pertanyaan dan pengoptimuman setempat. Empat kaedah penilaian pertanyaan yang dipilih di dalam kajian ini ialah Hill-Climbing, SDD-l, AHY dan Sistem R * . Setiap kaedah mempunyai penyelesaian tersendiri yang melibatka

An overview on audio steganography techniques

Steganography is a form of security technique through obscurity; the science and art of hiding the existence of a message between sender and intended recipient. Steganography has been used to hide secret messages in various types of files, including digital images, audio and video. The three most important parameters for audio steganography are imperceptibility, payload (bit rate or capacity), and robustness. Any technique which tries to improve the payload or robustness should preserve imperceptibility. The noise which is introduced due to bit modification would limit payload. This paper presents a categorization of information hiding techniques and overviews those techniques that intend to improve payload and imperceptibility

Strength and Quality Assessment of Recycled Aggregate and Crumb Rubber Concrete Using the Ultra Pulse Velocity Method

This study focuses on the strength and quality of concrete incorporated with recycled aggregate and crumb rubber through the compressive strength test and the Ultra Pulse Velocity (UPV) test. RA was used to replace coarse aggregate while CR was used to replace fine aggregate in concrete production. A total of 36 specimens consisting of cubes (100 mm 100 mm 100 mm) with partial replacements of 50% RA and 0, 1, 2, 3, 4, and 5% CR were prepared, subjected to water curing for 7 and 28 days and tested in terms of compressive strength and quality using the compressive strength test and the UPV method. The UPV test and the compressive strength test were conducted at day 7 and day 28. The results show that the compressive strength of concrete decreased slightly with the increase of rubber content. Additionally, the quality of concrete slightly decreased as the percentage of rubber content increased. Finally, the optimum percentages for partial replacement of concrete suggested based on the results are 3% CR and 50% RA as this concrete mix achieved the highest velocity in the UPV test and the highest compressive strength compared to the control mix

A Stock Market Trading System Using Deep Neural Network

The stock market prediction is a lucrativefield of interest withpromising profit and covered with landmines for the unprecedented. The mar-kets are complex, non-linear and chaotic in nature which poses huge difficultiesto predict the prices accurately. In this paper, a stock trading system utilizingfeed-forward deep neural network (DNN) to forecast index price of Singaporestock market using the FTSE Straits Time Index (STI) in t days ahead is pro-posed and tested through market simulations on historical daily prices. There are40 input nodes of DNN which are the past 10 days’opening, closing, minimumand maximum prices and consist of 3 hidden layers with 10 neurons per layer.The training algorithm used is stochastic gradient descent with back-propagationand is accelerated with multi-core processing. A trading system is proposedwhich utilizes the DNN forecasting results with defined entry and exit rules toenter a trade. DNN performance is evaluated using RMSE and MAPE. Theoverall trading system shows promising results with a profit factor of 18.67,70.83% profitable trades and Sharpe ratio of 5.34 based on market simulation ontest data

A Novel WLAN Client Puzzle against DoS Attack Based on Pattern Matching

Despite the popularity of 802.11 based networks, they suffer several types of DoS attack, launched by an attacker whose aim is to make an access point (AP) unavailable to legitimate users. One of the most common DoS attacks on 802.11 based networks is to deplete the resources of the AP. A serious situation like this can occur when the AP receives a burst of connection requests. This paper addresses this common DoS attack and proposes a lightweight puzzle, based on pattern-matching. Using a pattern-matching technique, this model adequately resists resource-depletion attacks in terms of both puzzle generation and solution verification. Using a sensible series of contextual comparisons, the outcomes were modelled by a simulator, and the security definition and proofs are verified, among other results

Relationship among foreign direct investment, economic growth and CO2 emission: A panel data analysis

This study aims to investigate the effects of foreign direct investment and economic growth on CO2 emission.The panel data for the period of 1992 to 2012 from 15 developing countries were collected.The Johansen co-integration was conducted and the results show that there is cointegrated relationship between the variables (FDI, CO2 and GDP).Then the FMOLS was done and it was found that in the long run foreign direct investment does not have any effect on CO2 emission.Therefore, it suggests that an increase in FDI does not influence CO2 emission. However an increase in economic growth can intensify CO2 emission.Therefore, the developing countries should formulate policies on the environment in order to accomplish economic sustainability.At last, Granger causality based on VECM was employed and the results suggest there is no effect of FDI and GDP on CO2 emission in the short run

Relationship among Foreign Direct Investment, Economic Growth and CO2 Emission: A Panel Data Analysis

This study aims to investigate the effects of foreign direct investment and economic growth on CO2 emission. The panel data for the period of 1992 to 2012 from 15 developing countries were collected. The Johansen co-integration was conducted and the results show that there is co-integrated relationship between the variables (FDI, CO2 and GDP). Then the FMOLS was done and it was found that in the long run foreign direct investment does not have any effect on CO2 emission. Therefore, it suggests that an increase in FDI does not influence CO2 emission. However an increase in economic growth can intensify CO2 emission. Therefore, the developing countries should formulate policies on the environment in order to accomplish economic sustainability. At last, Granger causality based on VECM was employed and the results suggest there is no effect of FDI and GDP on CO2 emission in the short run. Keywords: CO2 emissions; economic growth; foreign direct investment JEL Classifications: Q4; Q

Effects of Retailing Selling Prices of Petrol and Diesel on Food Prices

Oil is the main commodity for all countries in the world. Hence, the fluctuation in the price of the commodity has alarmed policy makers as it can cause severe problems such as food price inflation. The effects of oil prices on food prices have remained a topic of debate. Therefore this study aims to shed some light on the effects of oil prices (RON95, RON97, diesel) on food prices in Malaysia. The ARDL approach was employed and the results show that the price of petrol does not have any effect on food prices. The price of diesel was found to be detrimental to the economy as it can trigger inflation in the long run. However in the short run, the prices of petrol and diesel do not inflict any food price inflation in Malaysia. Therefore, the Malaysian government should control the price of diesel to avert any food price inflation in the long run. Keyword: RON95, RON97, diesel, food prices JEL Classifications: Q18, Q3, Q3

Fashaf Electrical Engineering (wiring services) / Mohd Shahidan Omar ... [et al.]

FASHAF Electrical Engineering is a business that focuses in wiring and electrical equipment installation service

Water Thermocline Confirms Susceptibility of Tilapia Cultured in Lakes to Streptococcus agalactiae

A study was conducted on water quality profiling to confirm susceptibility of tilapia cultured in lakes to Streptococcus agalactiae infection. A total of 1,010 and 719 tilapias of different sizes were collected from two lakes; the Kenyir and Pedu lakes, respectively. They were randomly sampled for a period of 24 months. Swabs of brain, eye and kidney were streaked directly onto blood agar before S. agalactiae was identified by the API 20 STREP kit, Slidex Strepto-kit and PCR technique. The water temperature (thermocline) and dissolved oxygen profiling were determined at 1 m intervals for up to 20 m deep. Water clarity and flow rate were also recorded using Secchi disk and a current meter. S. agalactiae was successfully isolated from both lakes throughout the year, ranging between 2 and 78%. Isolation was more frequent during the hot and dry months of both years. During this period, the mean water temperature was >29 degrees C for up to 8 m deep due to the significantly (p12 m deep. This and the slow water flow kept the water temperature at 4 m deep where tilapias under the cage culture system were kept to remain high causing stress to tilapia and increases susceptibility to S. agalactiae. Dissolved oxygen profiling, however remained high at >5 mg L-1 for up to 8 m deep and did not give adverse effects to susceptibility of tilapia to S. agalactiae