MALIM - a new computational approach of Malay morphology

Malay is categorized as an Austronesian language, a group which also contains Bahasa Indonesia and Tagalog. Quite number of morphological analyzers has been developed for Malay, including based on two-level formalism, stemming/conflation model, or even specific model. The obvious weaknesses are incompleteness and incapability of handling ambiguity which affect the accuracy of analysis. So we introduced a new technique called S-A-P-I to handle them in our analyzer - MALIM. In this paper we describe about MALIM and the empirical study to its usage. Our results proved that by using our technique increase the accuracy of morphological analysis up to 98.99% which covers 99.99% of sample data. Thus we believe this approach is the most suitable in handling morphological analysis for Malay

Development Of Polymer Mechanical Properties Characteristics Using I-KAZ 4D Analysis Method.

This study was undertaken to develop an alternative method based on signal analysis known as I-kaz 4D or I-kaz 4 channels.The aim was to characterize several mechanical properties including Poisson Ratio (PR), Vickers Hardness (VH),Yield Strength (YS),Tensile Strength (TS),Compression Strength (CS) and Fatigue Strength (FS).Specimens used are Polyoxymethylene (POM), Polyvinylchloride (PVC) and Blue Nylon MC (MC Blue).Round bar shape specimens were impacted by steel ball from different heights,20 cm to 40 cm.This test was conducted at semi-anechoic room and follow ASTM E1876 standard accordingly.4 accelerometer sensors were placed on the specimen surface to capture vibration signal produced by ball impact.Transient signals which generated from ball impact were analysed using Matlab software based on mathematical model I-kaz 4D.As a result,a correlation was found between I-kaz linear coefficient and material mechanical properties.However the errors are within acceptable range for all specimens used.It was found that average errors for Poisson Ratio = 0.69%,Vickers Hardness = 2.12%, Yield Strength = 3.20%,Tensile Strength = 2.43%, Compression Strength = 2.75% and Fatigue Strength =2.02%. It has potentiality to be used for further analysis of the respective materials

An effective security alert mechanism for real-time phishing tweet detection on twitter

Phishing is a form of social engineering crime uses to deceive victims by directing them to a fraudulent website where their private and confidential information are collected for further illegal actions. Phishing attacks have now targeted users at Online Social Networks (OSN)s such as Twitter, Facebook, Myspace, etc. which traditionally, targeting email users. Twitter has become so prevalent to phishers to spread phishing attacks nowadays due to its vast information dissemination and difficult to be detected unlike email. As such, the effectiveness of security alert to prompt Twitter users for the tweet containing phishing Uniform Resource Locator (URL) in real-time is crucial. Many solutions have been proposed but their effectiveness are inadequate and doubtful. In this paper, we propose an effective security alert mechanism making use of a classification model derived from a supervised machine learning technique of Random Forest (RF) and the identified 11 best classification features yielded 94.75% accuracy higher than 94.56% yielded by other researchers who used more than 11 features trained on the same dataset collected from Twitter. To determine its effectiveness, we used 200 phishing URLs collected from Twitter and PhishTank respectively. From our experiment, we are able to justify that such proposed security alert mechanism managed to prompt 97.50% effectively the security alert to Twitter users in real-time

Lexicon splitting in lexical disambiguation for Malay morphological analysis and stemming

Lexical ambiguity is one of the problems faced by morphological analyser and stemmer. It is caused by ambiguous word form like homonym, which could direct the tools to produce incorrect output. Thus a method that can resolve ambiguity may improve the performance of such tools. Malay word affixation differentiates between monosyllable and multisyllable word. A disambiguation method is proposed for tools that use lexicon for analysis and stemming, by splitting the lexicon into monosyllable and multisyllable words. We found that this feature could help to resolve ambiguity involving monosyllable words, improve language’s exception handling and improve storage lookup.This would be useful for Malay morphological analysis and stemming as this method does not require document-level context analysis of the analysed word

Catch Composition of Set Net Fisheries During Normal Season in Sungai Sembilang Waters, Selangor, Malaysia

Highlight ResearchThe Set Net was identified and recorded.Length and weight of the catch of set net was analyzed. AbstractSet net fisheries are made according to traditional fishing gears method in the coastal waters of Sungai Sembilang, Selangor, Peninsular Malaysia. These fisheries system are the passive structure of gear used to catch fish that swim in shallow water with muddy substrate. This study focused on determining the species variety and the possible future of set net fisheries in Sungai Sembilang. Catch composition of set net was investigated based on the catch data during July to December 2020 and continued from January to February 2021. The catch data was recorded by a research assistant on site during fishing season. The data consist of species, length and weight of all catches recorded. Total catch of 60 fish species belonging to 23 families were captured during this study period. Ariidae (31.73%), Clupeidae (11.56%), and Scatophagidae (7.96%) were determined as dominant families caught this set net. The total dominant catch amount of species Plicofollis argyropleuron (18.71%), Nemapteryx caelata (9.96%), and Anodontostoma chacunda (8.92%) compromised 37.6% of the total catch. This type of fishing gear can be used by local fisherman to catch fishes and can prevent trawl net from come closer to the shore. This study would provide some general useful information about the status of set net fisheries as well as the species abundance caught from the set net