A Technique for Transforming Rules in Deductive Databases

In deductive databases the efficiency of recursive query evaluation is considered as an important goal. One approach to achieving this goal is to use methods that transform the original query into a new set of queries. One such method is magic sets. In the magic sets method, a query expressed by rules is transformed into a set of rules called magic rules. This paper shows how to perform this transformation by using a rule/goal graph data structure. The advantage of the technique used here is that it is very simple and clear

The public awareness towards Islamic micro finance in Kuala Lumpur, Malaysia / Norhayati Mamat @ Ali

At a glance, the Islamic Microfinance (IMF) is getting appreciation by the whole world and everybody is utilizing it since it provides end-to-end solutions which that is not only about faith but encompasses a complete way of life. However, are we really aware about the IMF? How far that we know about the IMF? Which individuals should be afforded society’s protections? It is too good to be truth that the public should be aware of the IMF as it serves the whole society and offers many benefits to both Muslims and non-Muslim’s regardless religious beliefs as the IMF is a faith-based financial system which a mixture of three basic principles; economic, social and religious principles (Micro banker Connection, 2012). In response to these, this research paper attempt to determine the level of public awareness towards IMF in Kuala Lumpur, Malaysia. A survey method involves in this research study is by using a sample of 100 respondents taken from the Kuala Lumpur, Malaysia area. Based on the findings, it has been found that the normality test for all variables are normally distributed considered as parametric statistic which further proceed with Pearson Correlation test that shows positive and relatively strong relationship knowledge and the public awareness while moderate relationship for both government encouragements and social concerns with the significant value 1-tailed;0.000.The Cronbach’s Alpha values indicate all the variables are good range which is reliable and acceptable with highest Cronbach’s Alpha for independent variables is knowledge ; 0.894. The lowest average mean is knowledge; 2.8880 while the highest is social concerns; 3.6600 which indicates all the respondents gave the answers in range of2 (disagree) to 4 (agree) for all variable’s sections. Thus, all the results are attempted to reveal and answer all the research questions for this study

Online Form with KPI Analyzer

fhe Internet and network are two things that are evolving like mega tower all around the world. Through this, many people have take advantage and also manipulated it to enhance their business, system or education. But some of the people did not realize any of this. So as the >tudent of University Technology ofPETRONAS, the author has sense there is a part where the mthor can take advantage and manipulate the network, intranet and internet provided by UTP. Some of the request still be done by requesting using the manual form. With the network !volving, the online form should be the best way to enhance the system and process whereby it ;an save cost, time and energy. All the form can be filled from their personal computer or laptop md then the form will transferred to the next step within the network. The online fonn will be ntegrated with the KPis analyzer where the system will analyze how long does it take for a lepartment to respond to the torm submitted. This will be a great way to determine the KPls Jecause the data will be surely accurate and no misjudge or unfair judgment will occur. The ;ystem which will base on the Microsoft SharePoint surely will give some advantage because the JTP are using Microsoft SharePoint as the based for the all UTP Portal. The author hopes that his project will help UTP in becoming the best university in the world and also \'lrill help the :ntire management department to reduce cost, time and energy

A method of estimating aborted transaction in the database concurrency control system

Transactions may be aborted when they are unable to obtain a lock on a required data item. Estimating the proportion of transaction that aborts is one of the key issues in modelling a system which affect the performance measures of interest such as average response time and the throughput capacity of the system. This paper shows a method of estimating aborted transaction and performs a comparative study with other method given by Mitrani et al

An effect of simplifying magic rules for answering recursive queries in deductive databases

The basic magic sets transformation algorithm for rewriting logical rules in deductive databases is very clear and straightforward. However, rules generated by the algorithm for answering queries are too many compared to the original rules. Therefore, it is useful to simplify the generated rules before they are evaluated. This paper reports the study on the effect of simplifying such rules from the aspect of computing time. It is concluded that the improvement as a result of simplification is quite significant

AEROBIC TREATMENT OF ANAEROBICAL Y TREATED PALM OIL MILL EFFLUENT

This report is basically the preliminary research done and basic understanding of the chosen topic, which is the Aerobic Treatment of the Anaerobically Treated Palm Oil Mill Effluent (POME). Anaerobically digestion is widely used as the method for the POME treatment but the result has difficulty meeting the discharge limits set by the Department of Environment (DOE) due to high organic strength of POME. Hence, aerobic treatment is introduce to treated the effluent from the anaerobically digestion. The Sequencing Batch Reactor (SBR) is an aerobic treatment system used for this research. The final result of Chemical Oxygen Demand (COD), Soluble Chemical Oxygen Demand (sCOD), Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS), pH, temperature, Mixed Liquor Suspended Solids (MLSS) and Mixed Liquor Volatile Suspended Solids (MLVSS) are the parameters to evaluate the performance of the SBR in treating the anaerobically treated POME. A 5-litres SBR was fed with the anaerobic treated POME as the influent and seeded with the sludge from two different sources; Sewage Treatment Plant (STP) in UTP and Nasaruddin Palm Oil Mill in Bota, Perak. A 12-hours cycle and 24-hours cycle was conducted in treating the 5-litre of wastewater per cycle. Initially the wastewaterwas characterized according to the parameters of BOD, COD, sCOD, TSS, pH, temperature, MLSS and MLVSS. Some changes made during the research in order to get the most optimum parameters SBR performance; influent concentration, sludge concentration, aeration time and hydraulic retention time (HRT). The sCOD removal efficiency can achieved up to 32%. The optimum sludge concentration is ranging between 11000 to 14000 mg/L for ML VSS. It is envisaged that the SBR process could complement the anaerobic treatment to produce final treated effluent which meets the discharge limit

Kajian In-Vivo Kesan-Kesan Agen Aktif Dipermukaan Dan Agen , Suspensi Ke Atas Penyerapan Sulfadiazina Dari Suspensinya

Kepekatannatrium 1auri1 su1fat yang lebih rendah dari ICepekatnn Kritika1 Nisel (GHG) dapat meninegikan sementara kepekatannya yapnr:; lebiht"tingr.;i dari Kepekatan Kritikal Hisel merendahkan penyerapnn su1fadiazina dari saluran penghazaman. Pada kepekatan natrium 1auri1 su1fat yang lebih rendah dari Kepekatan Kritika1 Hisel (b.pat men[;ubah permeabiliti membran dan seterusnya dapat menin~gikan kadarcepat penyerapan sulf.adiazina. Kenaikan da1am kac1arcepat dissolusi akibat fenomena solubi1isBsi atau kesau pembasahan natrium louril' sulfat dan kebolehannya menin~gikan potensiasi aktihiti molekul-mo1oku1 drug JUGa turut memberi sumbangan menyebabkan kenaikan penyerapan 8ulfadiazina

Named entity recognition using a new fuzzy support vector machine.

Recognizing and extracting exact name entities, like Persons, Locations, Organizations, Dates and Times are very useful to mining information from electronics resources and text. Learning to extract these types of data is called Named Entity Recognition(NER) task. Proper named entity recognition and extraction is important to solve most problems in hot research area such as Question Answering and Summarization Systems, Information Retrieval and Information Extraction, Machine Translation, Video Annotation, Semantic Web Search and Bioinformatics, especially Gene identification, proteins and DNAs names. Nowadays more researchers use three type of approaches namely, Rule-base NER, Machine Learning-base NER and Hybrid NER to identify names. Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. In this paper, we review these methods and compare them based on precision in recognition and also portability using the Message Understanding Conference(MUC) named entity definition and its standard data set to find their strength and weakness of each these methods. We have improved the precision in NER from text using the new proposed method that calls FSVM for NER. In our method we have employed Support Vector Machine as one of the best machine learning algorithm for classification and we contribute a new fuzzy membership function thus removing the Support Vector Machine’s weakness points in NER precision and multi classification. The design of our method is a kind of One-Against-All multi classification technique to solve the traditional binary classifier in SVM

An Overview of Spark Ignition Engine Operating on Lower-Higher Molecular Mass Alcohol Blended Gasoline Fuels

This paper reviews the utilization of lower and higher molecular weight alcohols as fuel for spark ignition engine. As an alternative fuel for spark ignition engine, alcohol is widely accepted as comparable to gasolin. It is due to its ability that can be produced from biological matter through the current available and new processes. Moreover, alcohol is also considered as fuel additive due to its physical and chemical properties compatible with the requirements of modern engines. The objective of this paper is to provide an overview of these fuels by highlighting on the fuel properties and spark ignition engine responses. The first part of this review explains the important of alcohol fuel properties related to the engine performance and emissions, and the difference of these properties for each type of alcohol. The second part discusses recent advancements in research involving lower and higher molecular weight alcohols mainly responses from spark ignition engine