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

Interchangeable Concept of Cognitive Styles and Learning Styles: a Conceptual Analysis

Inquiries into the nature and effects of cognitive and learning style constructs are mounting daily, regardless of criticism and confusion about the boundaries, natures and to some extent overlapping issues of these two constructs. These issues raise several questions about the credibility of these two constructs with regard to further research, application and development. Therefore, there is a need to crystallize their natures to pave the way for further research and for a better understanding of individual's learning. The current scientific review strengthens the concept of these two constructs as separate and independent, each contributing in its own way to different fields of human learning. Both constructs have different histories and schools of thought directed toward different ends. The relationship of these constructs undeniably establishes their usefulness and value as research subjects. However, specific concerns is required in defining cognitive and learning styles which may hinder the credibility and usefulness of further research, including valid and reliable measurements, cohesive theory, application oriented studies, use of multiple methods in research, and the origin and development of these constructs. This article explores the discourse in these fields and highlights potential issues with the constructs to assist researchers in constructing a more comprehensive understanding of the research framework

Methane Emission From Paddy Fields as Influenced by Different Water Regimes in Central Java

The concentration of methane (CH4) in the atmosphere is increasing at 1% per annum and rice fields are one of the sources that contribute to about 10-15% of the atmospheric CH4. One of the options to reduce greenhouse gas emission from rice fields is probably through water management. A field study was conducted to investigate the effects of water management practices on CH4 emission from rice field plots on a silty sand Aeric Tropaquept soil at Research Station for Agricultural Environment Preservation, Jakenan, Central Java, Indonesia, during the dry season of March to June 2002. Four water regimes tested were: (1) 5 cm continuous flooding (CF), (2) 0-1 cm continuous flooding (ST), (3) intermittent irrigation (IR) where plots received continuously 5 cm of flooding with two times of draining at 15-20 and 25-30 days after transplanting (DAT), and (4) pulse irrigation (PI) where plots were watered until 5 cm level and left to dry by itself until the water table reached 30 cm beneath soil surface then watered again. The total CH4 emissions of the four water treatments were 254, 185, 136 and 96 kg CH4 ha-1 for CF, ST, IR and PI, respectively. Methane emission increased during the early growing season, which coincided with the low redox potential of -100 to -150 mV in all treatments. Dry matter weight of straw and filled grain among the water treatments did not show significant differences. Likewise, total grain yield at 14% moisture content was not significantly different among treatments. However, this result should be carefully interpreted because the rice plants in all water treatments were infested by stem borer, which reduced the total grain yield of IR64 between 11% and 16%. This study suggests that intermittent and pulse irrigation practices will be important not only for water use efficiency, but also for CH4 emission reduction

Finite Element Analysis of Hastelloy C-22HS in End Milling

This paper presents a finite element analysis of the stress distribution in the end milling operation of nickel-based superalloy HASTELLOY C-2000. Commercially available finite element software was used to develop the model and analyze the distribution of stress components in the machined surface of HASTELLOY C-22HS following end milling with coated carbide tools. The friction interaction along the tool-chip interface was modeled using the Coulomb friction law. It was found that the stress had lower values under the cut surface and that it increased gradually near the cutting edge

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

Greenhouse Gas Emissions From Peat Soils Cultivated to Rice Field, Oil Palm and Vegetable

Presently, about 20% of oil palm (Elaeis guineensis Jacq) fields in Indonesia are on peat soil, in addition to that otherarea of peat soil has been conventionally used for rice field and vegetables. To elucidate the global warmingpotentials of peat soils cultivated to oil palm, vegetable or rice field, field experiment has been carried out in SouthKalimantan. Air samples were taken from rice field, oil palm and vegetable fields in weekly basis for six month periodand analyzed for concentrations of N2O, CH4 and CO2. The global warming potentials (GWP) of the three gases werecalculated by multiplying the emission of each gas with their respective mole warming potential. This step wasfollowed by the addition of the three gases’ GWP to have the total GWP. The results showed that the emissions ofgreenhouse gases from peat soils changed seasonally and varied with the crops cultivated. Oil palm has resultedthe highest GWP, mostly contributed by N2O. There was no statistical different in total GWP of paddy andvegetable fields. The annual N2O emission from oil palm field was 4,582 g N ha-1 yr-1. Water, nutrients and organicmatter managements are among the potential techniques to minimize gas emissions from oil palm field which needfield trials.[How to Cite: Hadi A, L Fatah, Syaifuddin, Abdullah, DN Affandi, RA Bakar and K Inubushi. 2012. Greenhouse Gas Emissions from Peat Soils Cultivated to Rice Field, Oil Palm and Vegetable. J Trop Soils 17 (2) : 105-114. doi: 10.5400/jts.2012.17.2.105][Permalink/DOI: www.dx.doi.org/10.5400/jts.2012.17.2.105