Penggunaan perisian Rational Rose dalam merekabentuk sistem maklumat perkilangan (sistem inventori)

Pemilihan alatan merupakan salah satu elemen penting dalam memastikan sistem yang dibangunkan memenuhi keperluan sistem. Walaupun terdapat pelbagai alatan CASE di pasaran, perisian Rational Rose telah digunakan sebagai alatan kajian disebabkan ia merupakan salah satu perisian yang popular di kalangan pembangun-pembangun sistem. Walaupun begitu, perisian CASE seperti ArgoUML dari Tigris, Visual UML dari Visual Object Modeler, Enteiprise Architect dari SparxSystems dan Visio dari Microsoft juga di antara alatan yang biasa digunakan dalam membangunkan sistem. Pernyataan spesifikasi oleh pengeluar perisian ini digunakan untuk mengenalpasti ciri-ciri yang ditawarkan oleh perisian tersebut. Dalam kajian ini, kriteria perbandingan ditetapkan bagi melaksanakan perbandingan alatan-alatan tersebut dengan Rational Rose. Terdapat dua kriteria perbandingan iaitu permodelan UML dan round-trip engineering (RE). Permodelan UML berorientasikan objek digunakan kerana ia menyediakan gambaran visual sistem yang hendak dibangunkan secara menyeluruh. Proses RE pula dapat mengurangkan masa pembangunan sistem dan secara tidak langsung ia dapat mengurangkan kos pembangunan sistem. Dalam kajian ini, perisian Rational Rose digunakan untuk merekabentuk Sistem Maklumat Perkilangan (FIS) memfokuskan kepada pengurusan produk sistem inventori. Pendekatan use case digunakan untuk menganalisa dan merekabentuk FIS. Ianya melibatkan dua aktiviti utama iaitu analisa use case dan rekabentuk use case yang menghasilkan dokumentasi rekabentuk sistem. Dokumentasi rekabentuk sistem telah dihasilkan mengandungi rajah use case, rajah kelas, rajah jujukan serta dokumentasi proses. Tiga rajah yang telah diperolehi diklasifikasikan mengikut kriteria-kriteria yang ditawarkan oleh permodelan UML iaitu komunikasi, batasan sistem, dokumentasi dan struktur pengetahuan. Berdasarkan dokumentasi rekabentuk ini juga, pembangunan prototaip sistem dilaksanakan dengan dua pendekatan yang berbeza. Pendekatan pertama ialah pembangunan sistem menggunakan Rational Rose Visual Basic yang diintegrasikan dalam perisian Rational Rose dilaksanakan melalui proses RE yang berdasarkan daripada salah satu permodelan use case. Manakala pendekatan kedua ialah pembangunan sistem melalui kaedah konvensional yang membangunkan keseluruhan pengurusan produk sistem inventori menggunakan Microsoft® Access 2002. Keputusan yang diperolehi melalui kedua-dua pendekatan ini membolehkan perbandingan dari aspek penggunaan semula komponen, keseragaman kod dan model serta proses dokumentasi dapat dilaksanakan. Cadangan kajian dikemukakan bagi memperluaskan bidang kajian serta mengatasi kelemahan-kelemahan kajian yang telah dikenalpasti. Adalah diharapkan kajian ini dapat memberikan manfaat kepada semua dengan memberikan gambaran menyeluruh tentang kepentingan pemilihan alatan dan notasi yang dapat menjamin kejayaan pembangunan sesuatu perisian. Selain daripada itu, kajian ini juga dapat memberikan gambaran menyeluruh berkenaan perisian Rational Rose, mengapa ia begitu popular dikalangan pembangun sistem serta kelebihan dan kekurangan yang dimilikinya. Disamping itu, kajian ini juga menyatakan kelebihan dan kepentingan permodelan UML dan proses RE dalam pembangunan sistem

Labview-based FPGA implementation of sensor data acquisition for human body motion measurement

Measuring body motion is crucial to identify any abnormal neuromuscular control, biomechanical disorders and injury prevention in various applications such as rehabilitation [1], [2], sport science [3],[4], surveillance [5], and virtual reality [6]. The measurement can be performed by using vision-based [7]-[9] and non-vision-based [10]-[12] systems. The vision-based systems use optical sensors, such as cameras, to track human movements. Whilst the non-vision-based systems employ sensor technology, such as magnetic, and inertial, attached to the human body to collect human movement information. The vision-based systems offer a more accurate system, however, in this work, the non-vision-based systems are employed as it offers portability as one of the advantages

Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction

Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. However, this algorithm faces two (2) major process issues: optimisation and the least square problem. Due to OMP’s significant contribution, this paper presents an overview of the design issues and challenges of OMP algorithm implementation for CS reconstruction. The fieldprogrammable gate array (FPGA) as a viable hardware solution for OMP implementation is reviewed and discussed based on reconstruction time, signal size, number of measurements, sparsity and features

Optical tomography: Image improvement using mixed projection of parallel and fan beam modes

Mixed parallel and fan beam projection is a technique used to increase the quality images. This research focuses on enhancing the image quality in optical tomography. Image quality can be defined by measuring the Peak Signal to Noise Ratio (PSNR) and Normalized Mean Square Error (NMSE) parameters. The findings of this research prove that by combining parallel and fan beam projection, the image quality can be increased by more than 10%in terms of its PSNR value and more than 100% in terms of its NMSE value compared to a single parallel beam

Mini Review of Glucose Detection Using Plasmonic Sensor

Glucose is a crucial compound in human life. Glucose has important roles in energy source production and overall brain health. In addition, it can be converted into other compounds essential for the growth, repair, and maintaining tissues throughout the body. Also, glucose becomes an indicator of diabetes, i.e., ill when the body can not produce insulin hormone properly. The poor management of diabetes can affect long-term complications that can significantly impact a person's quality of life and may lead to disability or even premature death if not properly addressed. Thus, it is important to do glucose detection to stay within a healthy range. The common methods patients use are glucose meters and urine testing on the laboratory scale. This method has several areas for improvement, such as being invasive, needing experts, and requiring a long-time detection. Thus, researchers come into various alternative glucose detection such as chromatography, mass spectrometry, electrochemical, and plasmonic sensor. Chromatography for glucose detection is rarely used in recent years because of its complexity. Then, for mass spectrometry, it is also complicated for the result and maintenance. As for electrochemical methods, the disadvantage is that other electroactive components on the sample can be interfered with. Plasmonic sensors that utilize the Localized Surface Plasmon Resonance (LSPR) phenomenon are considered due to their advantage, i.e., non-invasive, real-time monitoring, and highly sensitive to surrounding medium change. Plasmonic sensors usually use components of light absorption, luminescence, fluorescence, Raman scattering, reflectance, and refractive index based on the nanoparticles used as sensing materials. Still, transmission and reflection are popular and widely applied. Furthermore, plasmonic sensors generally consist of instruments such as a light source, fiber optic, chamber to place substrate/analyte, spectrometer/detector, and computer. Besides, plasmonic sensors can produce different analytical characteristics suitable for different cases and tuned for the need because of the various sensing materials used. Hence, plasmonic sensors become a promising alternative method for glucose detection

Computational Approaches Based On Image Processing for Automated Disease Identification On Chili Leaf Images: A Review

Chili, an important crop whose fruit is used as a spice, is significantly hampered by the existence of chili diseases. While these diseases pose a significant concern to farmers since they impair the supply of spices to the market, they can be managed and monitored to lessen their impact. Therefore, identifying chili diseases using a pertinent approach is of enormous importance. Over the years, the growth of computational approaches based on image processing has found its application in automated disease identification, leading to the availability of a reliable monitoring tool that produces promising findings for the chili. Numerous research papers on identifying chili diseases using the approaches have been published. Still, to the best knowledge of the author, there has not been a proper attempt to analyze these papers to describe the many steps of diagnosis, including pre-processing, segmentation, extraction of features, as well as identification techniques. Thus, a total of 50 research paper publications on the identification of chili diseases, with publication dates spanning from 2013 to 2021, are reviewed in this paper. Through the findings in this paper, it becomes feasible to comprehend the development trend for the application of computational approaches based on image processing in the identification of chili diseases, as well as the challenges and future directions that require attention from the present research community.&nbsp

Laser Technology Applications in Critical Sectors: Military and Medical

This study aims to observe laser technology applications in two critical sectors which are military and medical. These two crucial sectors required a technology that compatible with the nature of the field; safe, precise and fast (time –saving). A laser is defined as a device that emits a focused beam of light by stimulating the emission of electromagnetic radiation. The characteristics of lasers; coherence, directionality, monochromatic and high intensity are very suitable to be used in the critical sectors. In the military sector, the implementation of laser is commonly used in various types of weapons manufacturing. In this paper, three different military weapon systems namely weapon simulator, laser anti-missile system and navy ship laser weapon system were studied. Meanwhile, in the medical sector, the laser is widely implementing in medical equipment especially in dentistry, surgery and skin treatment. The capability of laser technology to be adapted in the critical sectors can be further investigated and enhanced for future discovery

Secured MyVirtualPDA using advanced encryption standard

One of the most useful features in any personal digital assistant (PDA) is that it can accumulate information needed including easy-to-forget details. Some of the information stored is likely to be very sensitive including credit card numbers, personal identification, and passwords. To protect this sensitive data, most PDAs offer password protection as a basic authentication. However, to rely on this type of protection alone is not enough. As the writing of secret message cryptography, also known as science and mathematical lock and key (Schafer, 2003), evolved people rely on the encryption process to increase their level of data protection