Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : multi

Miniaturized Dual-Band Bandstop Filter Using Multilayered E-Shape Microstrip Structure

Raaed T. Hammed

Engineering and Technology Journal, 2016, Volume 34, Issue 11, Pages 2096-2105

This paperpresents a new design technique to realize a miniaturized dual-band rejection filter based on the E-shape microstrip structure for multifunctional wireless communication systems. The filter is designed on a double layer substrate to achieve compact size. On the bottom layer, two E-shape microstrip structures are realized and coupled through a space gap,gc, to perform the specified dual-bandstop response. The filtering response of the two bandstops is improved using a top layer substrate employing a main linestub. The main line is a half wavelength hairpin resonator. These two filter circuits are capacitivley coupled using overlapping microstrip lines.To demonstrate the proposed design technique, a multi-band bandstop filter is developed with rejection frequenciesof 2.4 and 5.3 GHz Wireless local Area Network (WLAN). The filter is designed and simulated using the momentum simulator of theAdvanced Design System (ADS) software package. The resulting filter has two second-order bandstops with four transmission poles and provides two band rejectionsof 25 dB and 35 dB at 2.4 GHz and 5.3 GHz respectively. The filter circuit size is very small, being of the order of about 26 mm2 excluding the feeding ports.

HMM Based POS Tagging System for 8 Different Languages and Several Tagsets

Ahmed Hussein Aliwy; Rosual Ali Radie; Hiba Sarteel Hamed

Engineering and Technology Journal, 2015, Volume 33, Issue 2, Pages 326-337

We propose, in this paper,Part-Of-Speech (POS) tagging system is proposed which based on Hidden Markov Model (HMM) for several languages. HMM is implemented using Viterbi algorithm on 8 languages; English, Hindi, Telugu, Bangla (Bengali), Marathi, Standard Chinese, Portuguese and Spanish. The data for these languages were taken from the freely available corpora: Brown, NPS-Chat, Indiana, Sinica, Floresta and CESS-ESP Corpora.
HMM is the most learning method used in many NLP applications, especially POS tagging. HMM taggerwas implemented by other researchersfor a lot of languages, where each one take his mother tongue language.
system testing is done by splitting each corpus to 99% training and 1% testing. This testis repeated for 10 times by changing the training and test data. The accuracies (average for all 10 tests) for English (using two tagsets of 40 tags and 472 tags), English (NPS corpus), Hindi, Telugu, Bangla or Bengali, Marathi, Standard Chinese, Portuguese (using two tagsets of 32 tags and 269 tags), and Spanish (using two tagsets of 14 tags and 289 tags) are (95.3%& 92.39%), 87.17%, 81.3%, 74.03%, 72.01%, 69.56%, 87.59%, (84.56%& 83.95%), and (94.26%& 92.08%) respectively.
Several languages are taken for recording the limitations of HMM tagger on different languages as will be seen, I.e, the limitations of using one method on many different languages are recorded. Same corpus annotated with different tagsetsis taken for studying the effect of tagset’s size.Also two different corpora, for the same language, are taken. According to our knowledge, there isn’t study implemented HMM on such various cases as in our work.
We provide an executable application for tagging all words in any sentence for any of the used 8 languages in our work. The unknown words (words not exist in the trained data) are manipulated by a simple method as Laplace smoothing.

Spatial Multi-Criteria Assessment to Select Optimum Route To Improve Transportation Network in Al-Omarah City

Maha O. Al-Mumaiz

Engineering and Technology Journal, 2012, Volume 30, Issue 8, Pages 1351-1361

The present study is focusing on development the accessibility of (Baghdad- Basrah) highway through choosing a new route for segment near Omarah city center, in addition to improve the level of service of city center network through removing the (Baghdad-Basrah) traffic from the center. To select the optimum route the Geographical Information System (GIS) with Multi Criteria Analysis (MCA) is used. The segment mentioned above is choosed due to the data availability required as an input for program, represented by control points coordinates, land use, and the existing ground elevation [Digital Elevation Model (DEM)].
As a result of this study the based model to suggest optimum route serving transportation movement and reducing congestion in AL-Omarah city is produced according to required criteria. So the obtained route is started and ended on the origin point of an approximate coordinate of (E695932, N3530317) and the destination point of an approximate coordinate of (E702400, N 3519760) receptively, with about 13 Km length. The main Importance of new route is not passing through city center which reduce the congestion, raising the level of service of center network, reducing the pavement deterioration due to remove the
heavy vehicle from passing though the center and finally the new route is shorter than the existing one which in turn reduce the travel time, cost, pollution and noise.

Design and Simulation of Linear Array Antenna Using Koch Dipole Fractal Antenna Elements for Communication Systems Applications

Fawwaz Jinan Jibrael; Mohanad Ahmed Abdulkareem

Engineering and Technology Journal, 2010, Volume 28, Issue 9, Pages 1854-1861

In this paper, the fractal concept has been used in the linear array antenna
design to obtain multiband operation. The fractal linear array antenna has been
designed at a frequency of 750 MHz with equal spacing and uniform amplitude
distribution of the elements array. 1st iteration quadratic Koch curve dipole fractal
element is used in design of the array. The proposed antenna array design, analysis
and characterization had been performed using the Method of Moment (MoM)
technique. The radiation pattern, side lobe level (SLL), directivity (D), and input
impedance of the proposed antenna are described and simulated using 4NEC2
software package and MATLAB programming language version 7.6.

Finite Element Modeling and Simulation of Orthogonal Cutting With Multi Layer Coated Tools

Maan Aabid Tawfiq; Zeena jumaa Ahmed

Engineering and Technology Journal, 2008, Volume 26, Issue 7, Pages 829-841

This paper focuses on the development of Finite Element Method (FEM) in
modeling and simulation of coated cutting tools with multi-layer coats. A special Finite
Element code called (MSC.MARC mentat) is used in the numerical tests, the results are
then compared with experimental work. The paper studied the effect of number of coats
of cutting tools on the following field parameters; tool-chip contact length, chip
contraction coefficient and shear angle at similar machining conditions.The metal being
machined is (AISI 1045 steel) with orthogonal machining conditions. The three cutting
tools and models are coated with (TiN, TiN/TiC, TiN/Al2O3/TiC), while the fourth one
is uncoated.The results show good agreement between the experimental and numerical
tests. Some of the results are compared with other published papers. The comparison of
the predicted results shows good agreement with experimental tests with maximum
relative difference of (18%) for the chip contraction coefficient and contact length, and
(10 %) for the shear angle. The insert with double coats shows excellent result,
compared to others from point of view of chip contraction coefficient, contact length and
shear angle.