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Healthcare electronics—A step closer to future smart cities
Arfan Ghani 한국통신학회 2019 ICT Express Vol.5 No.4
As information and communication technologies are transforming traditional cities into smart cities, the Internet of Things (IoT) makes smart cities efficient and responsive. In retrospect, for medical technologists to enter and establish themselves in the new healthcare industry, it is imperative that we look beyond traditional forms of technological innovations. Hence, IoT is an avenue for consideration. It is hoped that IoT-based healthcare devices will be able to provide the early detection of potential exacerbations and inform patients and medical professionals such that they can be treated promptly. In regard to smart healthcare within smart cities, this paper presents a study where an optoelectronic controller chip was designed to control the micro light emitting diode (LED) matrix used in retinal prosthesis. An individually addressable low-power micro LED array is designed and the results are reported. The chip is fabricated using the German foundry X-FAB 0.35- complementary metal oxide semiconductor (CMOS) technology and the total die area is . It is envisaged that the presented design and technology could potentially be used for a number of applications in healthcare and consumer electronics.
Laser frequency fixation by multimode optical injection locking.
Tistomo, Arfan Sindhu,Gee, Sangyoun Optical Society of America 2011 Optics express Vol.19 No.2
<P>Fixation of the optical frequency of slave laser to the frequencies between two adjacent modes by multiple optical injection locking is investigated. Numerical simulation suggests that the frequency pulling among many four wave mixing tones is the origin of the locking mechanism.</P>
Purchase decision criteria when choosing a bag in Indonesia
Nadia Arfan,Mustika Sufiati Purwanegara 한국마케팅과학회 2013 Journal of Global Fashion Marketing Vol.4 No.1
Appearance has become an important factor in life. Not only workers but alsouniversity students tend to choose products which reflect their identity. ApplyingANOVA, this paper highlights the awareness of signal visibility among young females. There are four variables involved: demographics, signal explicitness, productevaluation, and lifestyle. We sent a questionnaire to 410 student respondents inorder to gain insight into this topic. From this study, we find that young Indonesianfemales tend to choose products which have both visible and subtle signals. There arealso differences in product criteria between freshman and senior students, based on fourcriteria: material, comfort, peer group opinion and fashion. We found that femaleuniversity students fall into three of the eight different VALSe types – strivers,experiencers, and makers – which means they are active customers and like to maketheir own products.
압둘알판 ( Abdul Arfan ),김영진 ( Young-jin Kim ),권진백 ( Jinbaek Kwon ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.2
A SATA hard disk has been widely used in recent years and NCQ is one of its crucial features. Despite the development from IDE to SATA disk, there is still much room for improvement for a SATA disk. In addition, until now a hard disk is a black box to us and it is very hard to make research at the level of a disk controller. To enhance the performance of NCQ, we try to do I/O clustering over the requests, which combines multiple sequential requests into a single large one. To evaluate the effect of an I/O clustering mechanism, we created a simple but practical SATA hard disk simulator. Experimental results show that the proposed approach is effective in enhancing the I/O performance of a SATA disk.
Tumor detection from enhanced magnetic resonance imaging using fuzzy curvelet
Jaffar, M. Arfan,Ain, Quratul,Choi, Tae Sun Wiley Subscription Services, Inc., A Wiley Company 2012 Microscopy research and technique Vol.75 No.4
<P><B>Abstract</B></P><P>Effective medical image analysis is possible by the use of technique known as segmentation. Segmentation is a very challenging task because there is not any standard segmentation method is available for any medical application. In this article, we have proposed an automatic brain MR image segmentation method. Fast discrete curvelet transform and spatial fuzzy C‐mean algorithm is used for noise removal and segmentation of brain MR image. Fuzzy entropy has been used for calculating adaptive and optimal threshold to separate out the image segments. Our proposed system is exclusively based on the information contained by the image itself. No extra information and no human intervention are required in our proposed system. We have tested our proposed system on different T1, T2 and PD brain MR images. Microsc. Res. Tech., 2011. © 2011 Wiley‐Liss, Inc.</P>
MRT letter: Segmentation and texture‐based classification of breast mammogram images
Naveed, Nawazish,Jaffar, M. Arfan,Choi, Tae‐,Sun Wiley Subscription Services, Inc., A Wiley Company 2011 Microscopy research and technique Vol.74 No.11
<P><B>Abstract</B></P><P>Breast cancer is the most common cancer diagnosed among women. In this article, support vector machine is used to classify digital mammogram images into malignant and benign. Wiener filter is used to handle the possible quantum noise, which is more likely to occur in mammograms. Stack‐based connected component method is proposed for background removal, and the image is enhanced using retinax method. Seeded region growing algorithm is used to remove the pectoral muscle part of the mammogram. We have extracted 13 different multidomains' features for classification. Results show the superiority of the proposed algorithm in terms of sensitivity, specificity, and accuracy. We have used MIAS database of mammography for experimentation. Microsc. Res. Tech., 2011. © 2011 Wiley Periodicals, Inc.</P>
Occurrence and identification of Emeria species in broiler rearing under traditional system
Shamim, Asim,Hassan, Murtaz ul,Yousaf, Arfan,Iqbal, Muhammad Farooq,Zafar, Muhammad Arif,Siddique, Rao Muhammad,Abubakar, Muhammad Korean Society of Animal Sciences and Technology 2015 한국축산학회지 Vol.57 No.12
Background: The present study was intended to determine the prevalence and identification of species involved causing coccidiosis in broilers rearing under traditional farming system in Mirpur, Azad Kashmir, Pakistan. For the current study, a convenient sampling technique was carried out. A total of 7814 broilers (aged 1 to 6 weeks) were submitted to the Disease Diagnostic Laboratory of Livestock and Animal husbandry Department Mirpur, Azad Kashmir. Results: From the total screened, 750 were found positive for coccidiosis representing an overall prevalence of 9.59 %. Age-wise highest prevalence (10.88 %) recorded in the middle age birds (0 to 3 week old) were found more susceptible to infection than those aged above 3 weeks. Higher prevalence (12.49 %) of coccidiosis in broilers was observed in spring as compared with 6.60 % in summer season. In this study two main coccidiosis causing species, Emeria tenella and Emeria maxima were identified on the basis of their morphological feature and habitat (caeca and intestine), However, E. tenella was dominant compared to E. maxima. Conclusion: The study provides an insight to the occurrence of Emeria species which must be taken into consideration when rearing the broilers.
( Asim Shamim ),( Murtaz Ul Hassan ),( Arfan Yousaf ),( Muhammad Farooq Iqbal ),( Muhammad Arif Zafar ),( Rao Muhammad Siddique ),( Muhammad Abubakar ) 한국동물자원과학회(구 한국축산학회) 2015 한국축산학회지 Vol.57 No.41
The present study was intended to determine the prevalence and identification of species involved causing coccidiosis in broilers rearing under traditional farming system in Mirpur, Azad Kashmir, Pakistan. For the current study, a convenient sampling technique was carried out. A total of 7814 broilers (aged 1 to 6 weeks) were submitted to the Disease Diagnostic Laboratory of Livestock and Animal husbandry Department Mirpur, Azad Kashmir. Results: From the total screened, 750 were found positive for coccidiosis representing an overall prevalence of 9.59 %. Age-wise highest prevalence (10.88 %) recorded in the middle age birds (0 to 3 week old) were found more susceptible to infection than those aged above 3 weeks. Higher prevalence (12.49 %) of coccidiosis in broilers was observed in spring as compared with 6.60 % in summer season. In this study two main coccidiosis causing species, Emeria tenella and Emeria maxima were identified on the basis of their morphological feature and habitat (caeca and intestine), However, E. tenella was dominant compared to E. maxima. Conclusion: The study provides an insight to the occurrence of Emeria species which must be taken into consideration when rearing the broilers.
Unorthodox approach toward microscopic shape from image focus using optical microscopy
Mutahira, Husna,Muhammad, Mannan Saeed,Jaffar, Arfan,Choi, Tae‐,Sun Wiley Subscription Services, Inc., A Wiley Company 2013 Microscopy research and technique Vol.76 No.1
<P><B>Abstract</B></P><P>Shallow depth‐of‐field is an inherent property of optical microscope. Because of this limitation, it is usually impossible to image large three‐dimensional (3D) objects entirely in focus. However, the in‐focus information of the object's surface can be acquired over a range of images by optical sectioning of the object in consideration. These images can then be processed to generate a single in‐focus image and further for 3D shape reconstruction using methods like Shape from focus (SFF). SFF represents a passive technique for recovering object shapes. Although numerous methods for SFF have been recently proposed, all follow similar precedent of focus measure application and depth recovery by maximizing the focus curves. As the conventional techniques assume the presence of prominent texture in the scene, the shape of weak textured surfaces are not recovered properly. In this manuscript, we have followed an unorthodox approach to recover shapes of microscopic objects using SFF. At first, the in‐focus image is obtained, pursued by computing depth along the edges and their neighbors present in scene. Empty spaces in the final depth map are then calculated by surface interpolation. The proposed approach works well even for objects with weak textures. Microsc. Res. Tech., 2013. © 2012 Wiley Periodicals, Inc.</P>