The detection and classification of blast cell in Leukaemia Acute Promyelocytic Leukaemia (AML M3) blood using simulated annealing and neural networks

This paper was delivered at AIME 2011: 13th Conference on Artifical Intelligence in Medicine.This paper presents a method for the detection and classification of blast cells in M3 with others sub-types using simulated annealing and neural networks. In this paper, we increased our test result from 10 images to 20 images. We performed Hill Climbing, Simulated Annealing and Genetic Algorithms for detecting the blast cells. As a result, simulated annealing is the “best” heuristic search for detecting the leukaemia cells. From the detection, we performed features extraction on the blast cells and we classifying based on M3 and other sub-types using neural networks. We received convincing result which has targeting around 97% in classifying of M3 with other sub-types. Our results are based on real world image data from a Haematology Department.Universiti Sains Islam Malaysia and the Ministry of Higher Education, Malaysi

Behaviours of natural organic matter in membrane filtration for surface water treatment : a review

Membrane application in surface water treatment provides many advantages over conventional treatment. However, this effort is hampered by the fouling issue, which restricts its widespread application due to increases in hydraulic resistances, operational and maintenance costs, deterioration of productivity and frequency of membrane regeneration problems. This paper discusses natural organic matter (NOM) and its components as the major membrane foulants that occur during the water filtration process, possible fouling mechanisms relating to reversible and irreversible of NOM fouling, current techniques used to characterize fouling mechanisms and methods to control fouling. Feed properties, membrane characteristics, operational conditions and solution chemistry were also found to strongly influence the nature and extent of NOM fouling. Findings of such studies are highlighted. The understanding of the combined roles of controlling factors and the methods used is very important in order to choose and optimize the best technique and conditions during surface water treatment. The future potential of membrane application for NOM removal is also discussed

A Little Solution to the Little Hierarchy Problem: A Vector-like Generation

We present a simple solution to the little hierarchy problem in the MSSM: a vector-like fourth generation. With O(1) Yukawa couplings for the new quarks, the Higgs mass can naturally be above 114 GeV. Unlike a chiral fourth generation, a vector-like generation can solve the little hierarchy problem while remaining consistent with precision electroweak and direct production constraints, and maintaining the success of the grand unified framework. The new quarks are predicted to lie between ~ 300 - 600 GeV and will thus be discovered or ruled out at the LHC. This scenario suggests exploration of several novel collider signatures.Comment: 19 pages, 3 figures. v2: Section 3 modified, version to appear in PRD

Performance comparison of differential space-time signalling schemes for OFDM systems

Differential transmit diversity is an attractive alternative to its coherent counterpart, especially for multiple antenna systems where channel estimation is more difficult to attain compared to that of single antenna systems. In this paper we compare two different types of differential transmit diversity techniques for OFDM based transmissions. The first technique uses differential space-time block codes (DSTBC) from orthogonal designs and the second uses the differential cyclic delay diversity (DCDD). The results compare the bit error performance for several transmit antenna configurations. The results show that DCDD offers a very close performance to that of DSTBC, with the advantage of a simplified receiver structure

Aplikasi Berbasis Web Pendeteksi Plagiarisme Menggunakan Algoritma Himpunan Kata

Plagiarisme adalah penggunaan tulisan orang lain dalam tulisan sendiri tanpa memberikan kredit terhadap penulis asli. Tindakan ini membuat pembaca menganggap tulisan tersebut asli dan bukan kutipan. Plagiarisme melanggar kode etik dalam karya ilmiah. Untuk itu, adanya aplikasi yang membantu mendeteksi potensi plagiarisme sebuah tulisan sangatlah penting. Paper ini menguraikan hasil implementasi aplikasi berbasis web pendeteksi plagiarisme menggunakan algoritma berbasis himpunan kata dari Küppers. Oleh karena tidak adanya corpus Bahasa Indonesia untuk evaluasi algoritma pendeteksi plagiarisme, pengujian tidak dievaluasi menggunakan penilaian standar, seperti recall, precision, dan granularity. Hasil pengujian ditunjukkan dengan nilai yang menjadi ukuran kemiripan dokumen yang diuji dengan dokumen lain yang ada di basisdata. Secara rata-rata, didapatkan nilai potensi sebesar 0,8 untuk paragraf-paragraf yang sama persis, 0,6 untuk paragraf yang merupakan hasil pengubahan kata atau tanda baca, dan 0,4 untuk paragraf-paragraf yang merupakan hasil penulisan ulan

Creative Writing Poetry Assignment

This assignment sheet was designed for English 102