Starfruit classification based on linear hue computation

In this paper, a classification process to group starfruit into six maturity indices is proposed based on 1- dimensional color feature called hue, which is extracted from the starfruit image. As the original hue is quantified from the nonlinear transformation of the 3-dimensional Red, Green and Blue color, this paper proposes a linear hue transformation computation based on the 2 colors of Red and Green. The proposed hue computation leads to a reduced computational burden, less computational complexity and better class discriminant capability. The hue is then applied as the input for the maturity classification process. The classification process is based on the hypothesis that for each of the maturity index, certain area of the starfruit surface is supposed to have distinctive value of the hue. In this work, the said starfruit surface area is set as 70% of the total area and based on 600 samples, the proposed technique results in 93% classification accuracy

Analysis and classification of myocardial infarction tissue from echocardiography images based on texture analysis

Texture analysis is an important characteristic for automatic visual inspection for surface and object identification from medical images and other type of images. This paper presents an application of wavelet extension and Gray level cooccurrence matrix (GLCM) for diagnosis of myocardial infarction tissue from echocardiography images. Many of applications approach have provided good result in different fields of application, but could not implemented at all when texture samples are small dimensions caused by low quality of images. Wavelet extension procedure is used to determine the frequency bands carrying the most information about the texture by decomposition images into multiple frequency bands and to form an image approximation with higher resolution. Thus, wavelet extension procedure offers the ability to robust feature extraction in images. The gray level co-occurrence matrices are computed for each sub-band. The feature vector of testing image and other feature vector as normal image classified by Mahalanobis distance to decide whether the test image is infarction or not

Menerapkan Model Konstruktivis Untuk Meningkatkan Hasil Belajar Fisika Umum I Mahasiswa Semester I Jurusan Fisika Fmipa Unimed Ta 2012/2013

Penelitian ini bertujuan untuk meningkatkan pemahaman konsep Fisika melalui penerapan model konstruktivis pada mahasiswa tingkat pertama bersama pada semester ganjil tahun akademik 2012/1013. Model ini dipilih sebagai salah satu upaya memperbaiki kesalahan-kesalahan konsep yang selama ini masih dirasakan bahkan sampai semester lanjut. Hasil penelitian menunjukkan bahwa penggunaan model konstruktivis dapat meningkatkan pemahaman konsep Fisika yang terbukti dengan perolehan skor pretes dan postes yang meningkat dari siklus I ke siklus II. Rata-rata perolehan skor hasil pretes sebesar 25,0 dengan skor terendah 8 dan tertinggi 58. Pada siklus I rata-rata perolehan skor hasil postes sebesar 34,9 dengan skor terendah 17 dan skor tertinggi sebesar 50. Hal ini menunjukkan telah terjadi peningkatan rata-rata sebesar 9,9 poin dan ditinjau dari gain rata-rata yang diperoleh sangat rendah yaitu sebesar 13. Rata-rata perolehan skor hasil pretes sebesar 13 dengan skor terendah 0 dan tertinggi 25. Rata-rata perolehan skor hasil postes sebesar 85 dengan skor terendah 50 dan skor tertinggi sebesar 100. Hal ini menunjukkan telah terjadi peningkatan yang sangat tinggi rata-rata sebesar 72 poin dan terjadi pada semua mahasiswa. Ditinjau dari gain rata-rata yang diperoleh sangat tinggi yaitu sebesar 83. Dari data yang diperoleh hasil pelaksanaan siklus II dengan kriteria minimum skor 70, hanya 4 orang mahasiswa memiliki skor dibawah 70 dan sisanya (82%) di atas 70 sehingga pembelajaran telah mencapai ketuntasan

Face detection in profile views using fast discrete curvelet transform (FDCT) and support vector machine (SVM)

Human face detection is an indispensable component in face processing applications, including automatic face recognition, security surveillance, facial expression recognition, and the like. This paper presents a profile face detection algorithm based on curvelet features, as curvelet transform offers good directional representation and can capture edge information in human face from different angles. First, a simple skin color segmentation scheme based on HSV (Hue - Saturation - Value) and YCgCr (luminance - green chrominance - red chrominance) color models is used to extract skin blocks. The segmentation scheme utilizes only the S and CgCr components, and is therefore luminance independent. Features extracted from three frequency bands from curvelet decomposition are used to detect face in each block. A support vector machine (SVM) classifier is trained for the classification task. In the performance test, the results showed that the proposed algorithm can detect profile faces in color images with good detection rate and low misdetection rate

Enhanced Buffer Management Policy and Packet Prioritization for Wireless Sensor Network

Limited storage of the sensor node is one of the main causes of packet drop in the Wireless sensor network (WSN).   Frequent link disconnection is also another cause of packet drop.  Due to lack of continues end-to-end connection; two nodes may not be able to communicate with one another. Thus, communication may be established with the help of store and forward approach between the source and destination node. In that case, the sensor node may not be capable of storing a chunk of data since the buffer is available in a small amount. In order to store the data packets in the buffer when the link is down, an effective buffer management scheme is highly needed to keep the data packets for a long time until the link is re-established. This paper proposes a new buffer management scheme called Packet Priority Heterogonous Queue (PPHQ), which based on prioritizing and classifying the packets into different categories to minimize the loss of important packets. Unlike the existing Multi-layer WSN, that treats the data packets differently; we considered the data packets such as; temperature, humidity, and pressure to be same. However, the classification of different packet types is based on the sensor’s information value.  We completely divide the whole buffer into different queues, and thus the newly arrived packets are inserted in their corresponding queue. The buffer will then prioritize and schedule on which packet to be stored or transmit first when the buffer is overloaded. Our result exhibits that PPHQ scheme indeed provides minimum packet drop as well as maximum throughput compared to existing Multi-layer WSN buffer management schemes

Cytotoxicity, cell cycle arrest, and apoptosis in breast cancer cell lines exposed to an extract of the seed kernel of Mangifera pajang (bambangan).

An extract of Mangifera pajang kernel has been previously found to contain a high content of antioxidant phytochemicals. The present research was conducted to investigate the anticancer potential of this kernel extract. The results showed that the kernel crude extract induced cytotoxicity in MCF-7 (hormone-dependent breast cancer) cells and MDA-MB-231 (non-hormone dependent breast cancer) cells with IC50 values of 23 and 30.5μg/ml, respectively. The kernel extract induced cell cycle arrest in MCF-7 cells at the sub-G1 (apoptosis) phase of the cell cycle in a time-dependent manner. For MDA-MB-231 cells, the kernel extract induced strong G2-M arrest in cell cycle progression at 24. h, resulting in substantial sub-G1 (apoptosis) arrest after 48 and 72. h of incubation. Staining with Annexin V-FITC and propidium iodide revealed that this apoptosis occurred early in both cell types, 36. h for MCF-7 cells and 24. h for MDA-MB-231cells, with 14.0% and 16.5% of the cells respectively undergoing apoptosis at these times. This apoptosis appeared to be dependent on caspase-2 and -3 in MCF-7 cells, and on caspase-2, -3 and -9 in MDA-MB-231 cells. These findings suggest that M. pajang kernel extract has potential as a potent cytotoxic agent against breast cancer cell lines

Cytotoxicity and polyphenol diversity in selected parts of Mangifera pajang and Artocarpus odoratissimus fruits.

Purpose Research on cancer chemopreventive properties of fruits has increased in recent years. Polyphenols have been suggested to exert such effects. The purpose of this paper is to determine the cytotoxic activity of Mangifera pajang (bambangan) and Artocarpus odoratissimus (tarap) crude extracts against selected cancer cell lines (i.e. ovarian, liver and colon cancer) and to compare the amount of selected polyphenols (phenolic acids, flavanones, flavonols and flavones) in the kernel, peel and flesh of M. pajang; and the seed and flesh of A. odoratissimus. Design/methodology/approach Cytotoxicity activity of the extracts are investigated using MTT (3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide) assay while polyphenols are determined using high performance liquid chromatography. Findings The results show that only the kernel and peel extracts from M. pajang display cytotoxic activity in liver and ovarian cancer cell lines with IC50 values ranging from 34.5 to 92.0  μg/ml. The proliferation of colon cancer cell line is inhibited only by the kernel of M. pajang with IC50 value of 63.0  μg/ml. The kernel and peel from M. pajang contains a broad range of polyphenol phytochemicals which might be responsible for the cytotoxicity activity against selected cancer cell lines. Originality/value Previous reports have indicated that both M. pajang and A. odoratissimus contain high antioxidant properties. This study further determines the phytochemicals profiling in both fruits, which might contribute to the antioxidant activity. Besides that, the result from this study shows that the waste of the fruits (i.e. kernel and peel) contain superior phenolic phytochemicals and display better anticancer potential compared to the flesh; suggests the use of them in health‐industry application. Utilization of all parts of the fruits (i.e. flesh, seed, kernel and peel) for the development of nutraceutical and functional food application is suggested

Photocatalytic degradation of 1,2-dichlorobenzene using immobilized TiO2/SnO2/WO3 photocatalyst under visible light: Application of response surface methodology

Photodegradation of 1,2-dichlorobenzene over illuminated trimetallic oxide consisting of rutile TiO2 in major portion together with WO3 and SnO2 was studied with respect to the effect of physicochemical properties of the catalyst. The photocatalytic activity enhancement by the presence of surface defects due to calcination temperature was investigated with the information obtained from XRD, DRUV, PL, FESEM and XPS. Calcination of TiO2 at 950 °C resulted in highest activity. Decrease in percentage of degradation of 1,2-dichlorobenzene was noted when it was immobilized on PVC film and chitosan beads. The effect of calcination temperature, catalyst loading and pH was investigated for slurry and after immobilization. Further optimization study was carried out with the aid of response surface methodology utilizing Box–Behnken design. High correlation was obtained for the experimental and the predicted value (R2 = 0.9992, Adj. R2 = 0.9982 and Pred. R2 = 0.9971). Optimization result showed that the maximum percentage of degradation was achieved at calcination temperature of 961.2 °C, with catalyst loading of 0.22 g and pH 7.2. The presence of two intermediates was identified during the reaction using GC–MS. On top of that the photocatalyst could also be reused for several times

ERGONOMICS ASSESSMENT OF WORKSTATION DESIGN IN AUTOMOTIVE INDUSTRY

The purpose of this study is to demonstrate the ability to interpret the various aspects of ergonomics contributions and influences in the manufacturing industry. The application of knowledge and understanding of the ergonomics theories and techniques in the manufacturing industry also will be demonstrated in this study. Besides that, this report will be able us to appreciate the ergonomic role in manufacturing industry and everyday context by showing the ergonomics contribution towards employees’ health and safety in the workplace and tangible or intangible profitability of the company. Adequate posture, work height, normal and maximum working areas are determined for the intended user population. The procedure for determining the workstation dimensions and layout has been explained. The importance of building a mock-up of the designed workstation and its evaluation with representative subjects is emphasized. A case problem (Final Inspection workstation) is discussed to illustrate the workstation design procedure

Isolation and molecular identification of Nipah virus from pigs

Nipah viruses from pigs from a Malaysian 1998 out-break were isolated and sequenced. At least two different Nipah virus strains, including a previously unreported strain, were identified. The findings highlight the possibility that the Malaysia outbreaks had two origins of Nipah virus infections