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- 저자 : Ghimire, Balkrishna (검색결과 214 건)
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Data-Driven Intelligent Feeding System for Pet Care
Ghimire Ravi,Jae Weon Choi 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
The rapid development of artificial intelligence, the internet of things, and digital information processing technology has a huge impact on our daily lives with smart devices and wearables. The well-being of companion animals such as dogs and cats has become a large challenge. An increasing number of pet owners, their emotional attachment with their pets, and the 21st-century’s lifestyle importantly need the safety and welfare of pets by harnessing a smart technological approach. This paper analyzes and compares different machine learning algorithms for data-driven intelligent feeding system for pet care application. Different parameters such as body weight growth, body temperature, heart rate, eating habits, activity, sleep, and urine pH have been considered with other correlated sub-variables in creating virtual datasets. The supervised machine learning models: linear regression, gaussian process regression, narrow neural network, linear support vector machine, and fine tree are evaluated and discussed for estimating feed quantity. The machine learning model was verified by training, validation, and testing datasets. The developed model will be an innovative breakthrough for pet care applications. Feed estimation can be automated using the pet’s health parameters, this will help the pet to prevent obesity and related disorders.
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A Robust Face Detection Method Based on Skin Color and Edges
Ghimire, Deepak,Lee, Joonwhoan Korea Information Processing Society 2013 Journal of information processing systems Vol.9 No.1
In this paper we propose a method to detect human faces in color images. Many existing systems use a window-based classifier that scans the entire image for the presence of the human face and such systems suffers from scale variation, pose variation, illumination changes, etc. Here, we propose a lighting insensitive face detection method based upon the edge and skin tone information of the input color image. First, image enhancement is performed, especially if the image is acquired from an unconstrained illumination condition. Next, skin segmentation in YCbCr and RGB space is conducted. The result of skin segmentation is refined using the skin tone percentage index method. The edges of the input image are combined with the skin tone image to separate all non-face regions from candidate faces. Candidate verification using primitive shape features of the face is applied to decide which of the candidate regions corresponds to a face. The advantage of the proposed method is that it can detect faces that are of different sizes, in different poses, and that are making different expressions under unconstrained illumination conditions.
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Nonlinear transfer function-based local approach for color image enhancement
Ghimire, D.,Joonwhoan Lee IEEE 2011 IEEE TRANSACTIONS ON CONSUMER ELECTRONICS - Vol.57 No.2
<P>The main objective of image enhancement is to improve some characteristic of an image to make it visually better one. This paper proposes a method for enhancing the color images based on nonlinear transfer function and pixel neighborhood by preserving details. In the proposed method, the image enhancement is applied only on the V (luminance value) component of the HSV color image and H and S component are kept unchanged to prevent the degradation of color balance between HSV components. The V channel is enhanced in two steps. First the V component image is divided into smaller overlapping blocks and for each pixel inside the block the luminance enhancement is carried out using nonlinear transfer function. In the second step, each pixel is further enhanced for the adjustment of the image contrast depending upon the center pixel value and its neighborhood pixel values. Finally, original H and S component image and enhanced V component image are converted back to RGB image. The subjective and objective performance evaluation shows that the proposed enhancement method yields better results without changing image original color in comparison with the conventional methods.</P>
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Extreme Learning Machine Ensemble Using Bagging for Facial Expression Recognition
Ghimire, Deepak,Lee, Joonwhoan Korea Information Processing Society 2014 Journal of information processing systems Vol.10 No.3
An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a method for FER based on the histogram of orientation gradient (HOG) features using an ELM ensemble. First, the HOG features were extracted from the face image by dividing it into a number of small cells. A bagging algorithm was then used to construct many different bags of training data and each of them was trained by using separate ELMs. To recognize the expression of the input face image, HOG features were fed to each trained ELM and the results were combined by using a majority voting scheme. The ELM ensemble using bagging improves the generalized capability of the network significantly. The two available datasets (JAFFE and CK+) of facial expressions were used to evaluate the performance of the proposed classification system. Even the performance of individual ELM was smaller and the ELM ensemble using a bagging algorithm improved the recognition performance significantly.
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Seed morphology of the subfamily Helleboroideae (Ranunculaceae) and its systematic implication
Ghimire, B.,Jeong, M.J.,Choi, G.E.,Lee, H.,Suh, G.U.,Heo, K.,Ku, J.J. G. Fischer Verlag 2015 FLORA -JENA- Vol.216 No.-
A comprehensive morphological and anatomical study was carried out on seeds of 28 species from three tribes and eight genera of subfamily Helleboroideae (Aconitum, Actaea, Caltha, Cimicifuga, Delphinium, Eranthis, Megaleranthis and Trollius) and two putatively related genera in Ranunculaceae (Adonis and Ranunculus) using scanning electron and light microscopy to evaluate seed characteristics for use in the examination of systematic relationships. Considerable differences were found in seed coat morphology and anatomy both among and within genera of the subfamily. There are four major types of seed coat surface: striate, lineate, colliculate and irregularly wrinkled. The shape of testal cells was either elongated rectangular, rectangular chiseled, irregular or polygonal to subpolygonal. The wall ornamentation was predominantly smooth and either without any ornamentation or having finely granulated or some ribbon like appendages. The mechanical layer of the seed coat was of the exotestal type except in all species of Eranthis, in which the seed coat mechanical layer was absent; such a seed coat was referred to as being an 'undifferentiated seed-coat'. Maximum parsimony analysis of morphological features establishes three groupings within the studied genera: Aconitum/Delphinium, Actaea/Cimicifuga, and Caltha/Eranthis/Trollius/Megaleranthis. This study is congruent with the earlier groupings of the Helleboroideae based on morphology and also agrees in part with recent molecular studies. Our data convincingly support a close relationship between Caltha-Trollius-Megaleranthis and between Actaea and Cimicifuga. Another group supported strongly by the results of this study is Aconitum-Delphinium.
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Ghimire, B.K.,Yoo, J.H.,Yu, C.Y.,Chung, I.M. Elsevier 2017 Asian Pacific journal of tropical medicine Vol.10 No.7
<P>Objective: To investigate the composition of volatile compounds in the different accessions of Perillafruteseens (P. frittescens) collected from various habitats of China and Japan. Methods: In the present study, the essential oil from the leaves of P. frutescens cultivars from China and Japan was extracted by hydro-distillation and the chemical composition and concentration of the volatile components present in the oils were determined by gas chromatography mass spectrometry (GC-MS) analysis. Results: Among the volatile components, the major proportion was of perilla ketone, which was followed by elemicin and beta-caryophyllene in the Chinese Perilla cultivars. The main component in the oil extracted from the Japanese accessions was myristicin, which was followed by perilla ketone and beta-caryophyllene. We could distinguish seven chemotypes, namely the perilla ketone (PK) type, perilla ketone, myristicin (PM) type, perilla ketone, unknown (PU) type, perilla ketone, beta-caryophyllene, myristicine (PB) type, perilla ketone, myristicin, unknown (PMU) type, perilla ketone, clemicine, myristicin, beta-caryophyllene (PEMB) type, and the perilla ketone, limonene, beta-cryophyllenc, myristicin (L) type. Most of the accessions possessed higher essential oil content before the flowering time than at the flowering stage. The average plant height, leaf length, leaf width of the Chinese accessions was higher than those of the Japanese accessions. Conclusion: The results revealed that the harvest time and geographical origin caused polymorphisms in the essential oil composition and morphological traits in the Perilla accessions originating from China and Japan. Therefore, these chemotypes with desirable characters might be useful for industrial exploitation and for determining the harvest time.</P>
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GHIMIRE, BALKRISHNA,LEE, HAYAN,CHOI, GO EUN,JEONG, MI JIN,SUH, GANG UK,LEE, CHEUL HO,HEO, KWEON,SON, SUNG WON Magnolia Press 2016 Phytotaxa Vol.283 No.3
<P>The seed morphology and anatomy of 12 species, representing five sections of Thalictrum, were investigated by scanning electron microscopy (SEM) and light microscopy (LM) to evaluate seed features for use in systematic analysis. Considerable differences were observed in seed surface micromorphology and seed coat characteristics both among and within sections of the genus. MANOVA, MDA, and cluster analysis were used to unravel the morphology of seeds among the species. The characteristic seed features for species were found to be seed shape, size, testa thickness, exotestal cells and seed surface sculpture. The results indicated that the most prevalent seed coat sculpture among the studied species was reticulate and some species were reticulate at the margin and rugose in the center. Seed surface was without ornamentation and epidermal cells were mostly polygonal, rectangular or irregularly shaped. The testa thickness varied from two to six cell layers, and the exotesta was well characterized and rectangular to tangentially elongate in most of the species, except T. simplex and T. uchiyamae in which exotesta was poorly represented. It has been observed that species with a non-reticulate or poorly developed reticulate surface sculpture have a less protected seed coat and vice versa. The results of this study indicated that seed morphological features do not, in general, provide strong support to the sectional division of the genus, but that species within sections shared some comparable seed features.</P>
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