Artificial Intelligence and Robotics Commons^™

Pickup And Delivery Problem With Time Windows: Algorithms And Test Case Generation, Hoong Chuin Lau, Zhe Liang

Research Collection School Of Computing and Information Systems

In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to generate an initial solution. In the second phase, a tabu search method is proposed to improve the solution. Another contribution of this paper is a strategy to generate good problem instances and benchmarking solutions for PDPTW, based on Solomon's benchmark test cases for VRPTW. Experimental results show that our approach yields very good …

A Multi-Agent Framework For Supporting Intelligent Fourth-Party Logistics, Hoong Chuin Lau, G. Lo

Research Collection School Of Computing and Information Systems

A distributed intelligent agent-based framework that supports fourth-party logistics optimization under a web-based e-Commerce environment has been proposed in this paper. In the framework, customer job requests come through an e-Procurement service. These requests are consolidated and pushed to the e-Market Place service periodically. The e-Market Place then serves as a broker that allows intelligent agents to bid to serve these requests optimally in real-time by solving multiple instances of underlying logistics optimization problem. The resulting system was implemented based on the Java 2 Enterprise Edition (J2EE) platform using distributed system technology for communication between objects.

Aurora Working Group: Dsr Front End Lvcsr Evaluation — Baseline Recognition System Description, Naveen Parihar, Joseph Picone

Publications

In this document we describe the features of the baseline system to be used in the Distributed Speech Recognition (DSR) front end large vocabulary continuous speech recognition (LVCSR) evaluations being conducted by the Aurora Working Group of the European Telecommunications Standards Institute (ETSI). The objective of these evaluations is to determine the robustness of different front ends for use in client/server type telecommunications applications. As such, our experiments are designed to test the following focus conditions on the DARPA Wall Street Journal (WSJ0) corpus using a 5000-word closed-loop vocabulary and a bigram language model:

1. Additive Noise: six noise conditions …

Comparison Of Two Distributed Fuzzy Logic Controllers For Flexible-Link Manipulators, Linda Z. Shi, Mohamed Trabia

Mechanical Engineering Faculty Presentations

The paper suggests that fuzzy logic controllers present a computationally efficient and robust alternative to conventional controllers. The paper presents two possible structures for the distributed fuzzy logic controller of a single-link flexible manipulator. A linear quadratic regulator method is used to prove the effectiveness of fuzzy logic controllers.

Topic Detection, Tracking, And Trend Analysis Using Self-Organizing Neural Networks, Kanagasabai Rajaraman, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

We address the problem of Topic Detection and Tracking (TDT) and subsequently detecting trends from a stream of text documents. Formulating TDT as a clustering problem in a class of self-organizing neural networks, we propose an incremental clustering algorithm. On this setup we show how trends can be identified. Through experimental studies, we observe that our method enables discovering interesting trends that are deducible only from reading all relevant documents.

Web Information Retrieval And Monitoring Using Adaptive Agent, Yuen Beng Chong

Student Works (2000-2009)

Internet is the information house. There are million of pages posted in the Internet, and still growing in exponential. Locate a web page, without a search engines, is like a blind explorer. There are many search engines in the existence world, but more new search engines is under construction. Each search engine has its advantage and disadvantage, depend on the need of the searchers. The projects aims to develop an agent, with some advanced features, to allow the searchers obtain the information from the Internet easily. The advanced features included, table of contents preview, chart of relevant, session review and …

To Explore Agent Technology In E-Commerce Mighty House Agent, Thirumalai Phiyadharshini

Student Works (2000-2009)

Agent technology is becoming more popular among system designers who want their system to be more personalized, continuously running and semi-autonomous. These properties make agents useful for a wide variety of information and process management tasks. It should come as no surprise that these same qualities are particularly useful for the information-rich and process-rich environment of electronic commerce. As such agent technology in electronic commerce (e-commerce) would be essential to improve on-line shopping which is becoming more and more popular these days. It is in these roles that agent system designers have the challenge to accurately identify and the opportunity …

Fingerprint Recognition Using Neural Networks, Eng Hoe Kennie Yeoh

Student Works (2000-2009)

Traditional methods of fingerprint verification uses either complicated feature detection algorithms that are not specific to each fingerprint, or compare two fingerprint images directly using image processing toots. The former involves very complicated calculations and tedious algorithms, and the latter tend to work poorly. In this paper it is described a new method which takes the middle ground. This paper studies the implementation of the Fast Fourier Transform and Artificial Neural Networks into the recognition of fingerprints. With tests conducted on the implementation of the Fourier Transform as a method of fingerprint feature extraction, the use of the Fourier Transform …

Sistem Pembelajaran Cerdas Dan Pengatucaraan C (Spc), Ahmad Norzam Yusri

Student Works (2000-2009)

Sistem pembelajaran cerdas dan pengatucaraan C (SPC) adalah Intelligent Tutoring system (ITS) yang dibangunkan untuk pelajar-pelajar univsersiti yang mengambil kursus Sains Komputer dan Teknologi Maklumat serta pelajar fakulti kejuruteraan di mana subjek Bahasa Pengatucaraan C merupakan suatu subjek yang wajib. SPC merupakan satu alat perisian untuk memerhatikan serta mengawal pembelajaraan pelajar dan menyelesaikan masalah-masalah subjek yang khusus. Sistem pembelajaran cerdas adalah pakej arahan berasaskan komputer yang menggunakan teknik-teknik yang ditemui dalam penyelidikan-penyelidikan Kepintaran Buatan untuk membantu dalam pengajaran sesuatu subjek atau kepakaran. Tidak seperti sistem konvensional lain, rekabentuk SPC menggunakan pendekatan Cognitivisim dan ia mempunyai tiga bahagian iaitu Model Pelajar, …

Intelligent Agent For Electronic Commerce Using Neural Network Approach \, Hui Sun Yap

Student Works (2000-2009)

This project is aims to developing a tool that able to collect relevant information from the World Wide Web and a tool that can be used to assists users in decision-making in the activities of e-commerce. It i been built by using the neural network of artificial intelligence approach. In more specific, the back propagation network was been used. This report contains seven chapters that uncovered the details of the project from the beginning through the end of the system evaluation and a conclusion chapter. These chapters and its contain are been arranged as the following: Chapter I - lntroduction, …

Intelligent Agent For Electronic Commerce, Siew Cheng Lai

Student Works (2000-2009)

The objective of this project is to develop a system that can assists a user to make decision in online transactions for residential houses. In order to achieve this objective, an intelligent agent will be built where it will help the user to find relevant information of the houses based on they requirement. Furthermore, a prediction tool will also be developed to predict the price of the required house on the market. Artificial neural network will be used here, where the LVQ network is used to build the system. The neural network will be implemented in the filtering module and …

Sistem Cerdas Pembelajaran Pembezaan Fungsi Matematik (Pfits), Sulaiman Zainab

Student Works (2000-2009)

Pembelajaran melalui komputer menjadi semakin popular dan pelbagai kajian dilakukan untuk menghasilkan sistem pembelajaran yang lebih baik dan efektif untuk menarik minat para pelajar dan meningkatkan fahaman dan kebolehan pelajar. Projek ini secara khususnya memberi penumpuan terhadap pembangunan Sistem Cerdas Pembelajaran (Intelligent Tutoring System - ITS) bagi Pembezaan Fungsi (PFITS). Pembezaan merupakan satu topik kalkulus yang melibatkan fahaman beberapa langkah penyelesaian dengan menggunakan petua-petua matematik seperti petua tambah dan petua rantai. Ia berbeza berbanding algebra yang lebih melibatkan kepada penggunaan rumus dan aplikasi rumus yang tidak melibatkan banyak langkah penyelesaian. PFITS ini juga dapat membantu pengajar untuk pembelajaan yang lebih …

Designing An Intelligent System For Genetic Biology Learning, Seenivasagam S.Gangatharan

Student Works (2000-2009)

With the changing education scenario, an issue which has come strongly on how to create intelligent tutoring system to educate learners in a more intelligent way. So a need has emerged for the development of an intelligent tutoring system. This part or thesis describes the design of a collection of intelligent systems under the name GENETIC BIOLOGY for basic genetic biology tutoring. GENETIC BIOLOGY consist of three intelligent systems which arc designed for cell, DNA and gene learning. GENETIC BIOLOGY systems employ natural language processing and various techniques normally used in the construction of intelligent systems. Production rules and frames …

Oces Sistem Pakar Kanser Ovari, Abd. Rahim Noreen

Student Works (2000-2009)

Sistem Pakar Kanser Ovari atau OCES merupakan projek tahun akhir bagi memenuhi keperluan dalam penganugerahan ljazah Sarjana Muda Sains Komputer. OCES merupakan sistem pakar yang cuba bertindak untuk menggantikan pakar pada bila-bila masa yang diperlukan dengan melakukan diagnosis ke atas pesakit kanser ovari berdasarkan gejala-gejala yang ada pada pesakit. Dalam menjalankan proses diagnosis, satu sesi soal jawab dikendalikan oleh OCES akan dijalankan dan daripada sesi ini, OCES akan mengenalpasti samada pesakit tersebut berpotensi mendapat kanser ovari dan seterusnya membcrikan cadangan tentang kaedah rawatan yang mungkin diperlukan oleh pesakit disamping mampu memberi sedikit sebanyak maklumat mengenai kanser ovari. Dengan wujudnya sistem …

Dynamic Bandwidth Allocation Using Neural-Fuzzy In Atm Network, Yan Sing Chua

Student Works (2000-2009)

Dynamic bandwidth allocation is becoming one of the crucial issues in the design and research in the computer network. This is due to the continuous increasing demand of intensive applications that require more bandwidth while retaining higher quality. Dynamic bandwidth allocation utilises the current network state information to optimise the bandwidth distribution. The state information can be gathered through prediction using past data and measurement on current state. Agility and flexibility of dynamic bandwidth allocation using Neural-Fuzzy has the advantage that it can adapt to the state changes of the network. ATM network carries heterogeneous traffic and this causes the …

Sistem Jadual Waktu Elektronik (Sjwe), Mohd Noh Mohd Nizam

Student Works (2000-2009)

Projek llmiah Tahap Akhir IT (WXES3182) ini merupakan salah satu keperluan kursus yang perlu diambil sebelum seseorang pelajar Ijazah Srujana Muda Sains Komputer itu bergelar graduan unversiti. Bagi tujuan itu saya telah membuat keputusan membina suatu sistem pentadbiran jadual waktu untuk FakuJti Sains Komputer & Teknologi Maklumat dan sistem ini saya namakan sebagai Sistem Jadual Waktu Elektronik (SJWE). SJWE ini dibangunkan oleh dua orang dan setiap orang membuat domain yang berlainan. Rakan saya Mohd. Sirhan Shabrani Bin Mt. Salleh membuat bahagian pentadbiran jadual waktu (Administration) di mana bahagian ini meliputi kerja-kerja yang perlu mempertimbangkan proses-proses yang perlu dijalankan sebelum suatu …

Online Counseling Assistant Ii (Oca Ii), Abdul Satar Roliana

Student Works (2000-2009)

Laporan projek latihan ilmiah tahap akhir ini mencadangkan tentang pembangunan sebuah sistem yang mampu membantu pelajar di dalam proses pembelajaran. Sistem yang akan dibangunkan ialah Online Counseling Assistant II (OCA II) di mana ia tertumpu kepada 3 bahagian paling utama iaitu temujanji, perbincangan dan pengumuman dalam talian. Sasaran utama pengguna sistem OCA II ini adalah terdiri daripada pelajar-pelajar di mana ia dapat mermbantu mereka meningkatkan kualiti dan prestasi pembelajaran. Pembangunan sistem ini adalah berdasarkan kepada matlamat untuk mengeksploitasikan teknologi maklumat di dalam pendidikan serta memberi kemudahan elektronik kepada masyarakat. Beberapa kajian dan penyelidikan telah dibuat menghasilkan satu analisis dan rekabentuk …

Knowledge Management Portal (Ai Department), Rahmat Nazariah

Student Works (2000-2009)

Portal pengurusan maklumat adalah satu sistem yang mana berfungsi sebagai tempat untuk mengumpul dan mencapai maklumat. Maklumat yang terdapat di dalam portal ini adalah maklumat yang terperinci tentang Jabatan Kepintaran Buatan, FSKTM, Universiti Malaya. Semua maklumat ini akan di olah kembali untuk mendapatkan sesuatu output yang berguna kepada pengguna sistem ini. Sistem portal pengurusan maklumat ini mengandungi dua modul utama iaitu Modul Pengguna Awam dan Modul Pentadbir. Modul pengguna awam membenarkan pengguna mencari informasi dan mencapai maklumat yang dipaparkan di dalam portal ini. Akan tetapi, capaian sebagai pengguna awam adalah agak terhad. Modul pihak pentadbir pula terdiri daripada 4 peringkat …

Hopfield Model For Shortest Path Computation And Routing In Atm Network, Chee Weng Lee

Student Works (2000-2009)

This research focuses on the application of Hopfield neural network and Boltmann machine in solving the shortest path routing problem in the ATM network environment. Hopfield neural network and Boltzmann machine are two types of neural network which are commonly used for solving optimization problem such as the shortest path routing problem. The objectives of this research are to construct a Hopfield neural network and a Boltzmann machine for solving the shortest path routing problem in the ATM network. Both of these two types of neural network are built based on a chosen example of an A TM network. The …