A new mathematical model for traffic systems: the basic traffic unit / Khairani Abd. Majid, Zaharin Yusoff and Abdul Aziz Jemain

In studying traffic congestions at toll plazas, a basic model for traffic systems was introduced with the hope to contribute towards a longer-term solution with the means for explaining and predicting congestions. The basic model is named the Basic Traffic Unit (BTU). Besides solving traffic congestion problems, the basic model may also be extended to other network problems. It is anticipated that future researchers may further this study using more specific operations research approach, based on simulation and queuing theory models which would then provide a better insight towards a more sustainable solutio

A Synchronization Structure Of SSTC And Its Applications In Machine Translation.

In this paper, a flexible annotation schema called (SSTC) is introduced. In order to describe the correspondence between different languages, we propose a variant of SSTC called synchronous SSTC (S-SSTC). We will also describe how S-SSTC provides the flexibility to treat some of the non-standard cases, which are problematic to other synchronous formalisms

An Intelligent Method. For Processing String In 3-D Based On Its Minimum Energy.

The problems associated with geometrical model of string (rope) in computer graphics are preserving topology and detail shape, and a large data volume in its processing. As an example, we consider string figures construction in Cat's Cradle game [3]

A case study in knowledge acquisition for logistic cargo distribution data mining framework

Knowledge acquisition is one of important aspect of Knowledge Discovery in Databases to ensure the correct and interesting knowledge is extracted and represented to the stakeholders and decision makers. The process can undertake using several techniques as such in this study, it is using data mining to extract the knowledge patterns and representing the knowledge described using ontology based representation. In this paper, a data set of Logistic Cargo Distribution is selected for the experiment. The dataset describes the shipment of logistic items for the Malaysian Army

Endocrine disrupting compounds (EDCs) in environmental matrices: review of analytical strategies for pharmaceuticals, estrogenic hormones, and alkylphenol compounds

Endocrine disrupting compounds (EDCs) have been widely reported as potential carcinogenic threats to the human population. The release of EDCs to environmental compartments, such as water, sediment, and biota, has been monitored extensively. Considering the typically low levels of EDC concentrations found in environmental samples and the complexity of biota matrices, the main challenge is with the extraction and cleanup of samples, as well as with finding a sensitive enough instrumentation system for analyte detection. This paper presents a review of recent trends in the analysis of EDCs in environmental matrices. The focus of this review is three classes of environmentally important EDCs; namely, pharmaceuticals, estrogenic hormones, and alkylphenol compounds. Discussions about state-of-the-art instrumentation and sample preparation techniques, as well as a review of sample storage and preservation, are highlighted. Overall, the use of LC-MS-MS as an instrumentation technique has increased over the past 15 years