Automatic Leaf Extraction from Outdoor Images

Automatic plant recognition and disease analysis may be streamlined by an image of a complete, isolated leaf as an initial input. Segmenting leaves from natural images is a hard problem. Cluttered and complex backgrounds: often composed of other leaves are commonplace. Furthermore, their appearance is highly dependent upon illumination and viewing perspective. In order to address these issues we propose a methodology which exploits the leaves venous systems in tandem with other low level features. Background and leaf markers are created using colour, intensity and texture. Two approaches are investigated: watershed and graph-cut and results compared. Primary-secondary vein detection and a protrusion-notch removal are applied to refine the extracted leaf. The efficacy of our approach is demonstrated against existing work.Comment: 13 pages, India-UK Advanced Technology Centre of Excellence in Next Generation Networks, Systems and Services (IU-ATC), 201

LAPORAN INDIVIDU PRAKTIK LAPANGAN TERBIMBING (PLT)

Untuk menjadi seorang pendidik yang profesional khususnya seorang guru haruslah dimiliki empat kompetensi yaitu kompetensi profesional, kompetensi sosial, kompetensi pedagogis, dan kompetensi kepribadian. Di Universitas Negeri Yogyakarta, untuk mengembangkan keempat kompetensi yang harus dimiliki oleh seorang pendidik tersebut dalam diri mahasiswa dilakukan dengan penyelenggaraan Program Lapangan Terbimbing. Program Lapangan Terbimbing (PLT) merupakan program Magang III Kependidikan yang harus ditempuh oleh mahasiswa S-1 program studi Kependidikan dan memiliki bobot mata kuliah 3 SKS. Pelaksanaan Praktik Lapangan Terbimbing di SMA Negeri 1 Depok yang berlokasi di Jalan Babarsari, Caturtunggal, Depok, Sleman berlangsung selama kurang lebih dua bulan, mulai tanggal 15 September 2017 – 15 November 2017. Kegiatan yang dilakukan selama PLT adalah kegiatan mengajar dan kegiatan manajemen administrasi sekolah yang diadakan oleh SMA Negeri 1 Depok. Praktik mengajar dilakukan dengan ketentuan minimal 8 kali pertemuan. Praktik mengajar dimulai pada tanggal 5 Oktober 2017. Adapun hasil yang diperoleh dari pelaksanaan PLT ini adalah keterampilan dan pengalaman mengajar dan pengelolaan administrasi sekolah. Praktik mengajar berjalan dengan lancar secara umum, meskipun terdapat kendala yang dapat diatasi dengan melakukan konsultasi dengan guru pembimbing serta terus memperbaiki diri selama proses PLT berlangsung. Dengan adanya kegiatan PLT ini, mahasiswa dapat mengetahui dan merasakan langsung bagaimana menjadi seorang guru. Mahasiswa langsung menghadapi siswa yang punya berbagai keragaman dan problematika dalam kelas. Dapat dikatakan, kegiatan PLT di SMA Negeri 1 Depok berjalan lancar. Kegiatan PLT ini memberikan manfaat yang besar untuk mahasiswa. Selain dapat mengembangkan keterampilan mengajar dan pengelolaan administrasi sekolah, mahasiswa juga mendapatkan keterampilan untuk mengelola kelas dan mampu mentransfer ilmu yang diberikan selama di bangku perkuliahan. Disamping itu, hubungan kekeluargaan yang baik dapat dibangun antara mahasiswa dengan kepala sekolah, guru, karyawan dan juga dengan siswa

CaloriNet: From silhouettes to calorie estimation in private environments

We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes. Our fused convolutional neural network architecture is trainable end-to-end, to estimate calorie expenditure, using temporal foreground silhouettes alongside accelerometer data. The network is trained and cross-validated on a publicly available dataset, SPHERE_RGBD + Inertial_calorie. Results show state-of-the-art minimum error on the estimation of energy expenditure (calories per minute), outperforming alternative, standard and single-modal techniques.Comment: 11 pages, 7 figure

Quantification of Alterations in Cortical Bone Geometry Using Site Specificity Software in Mouse models of Aging and the Responses to Ovariectomy and Altered Loading.

Investigations into the effect of (re)modeling stimuli on cortical bone in rodents normally rely on analysis of changes in bone mass and architecture at a narrow cross-sectional site. However, it is well established that the effects of axial loading produce site-specific changes throughout bones' structure. Non-mechanical influences (e.g., hormones) can be additional to or oppose locally controlled adaptive responses and may have more generalized effects. Tools currently available to study site-specific cortical bone adaptation are limited. Here, we applied novel site specificity software to measure bone mass and architecture at each 1% site along the length of the mouse tibia from standard micro-computed tomography (μCT) images. Resulting measures are directly comparable to those obtained through μCT analysis (R (2) > 0.96). Site Specificity analysis was used to compare a number of parameters in tibiae from young adult (19-week-old) versus aged (19-month-old) mice; ovariectomized and entire mice; limbs subjected to short periods of axial loading or disuse induced by sciatic neurectomy. Age was associated with uniformly reduced cortical thickness and site-specific decreases in cortical area most apparent in the proximal tibia. Mechanical loading site-specifically increased cortical area and thickness in the proximal tibia. Disuse uniformly decreased cortical thickness and decreased cortical area in the proximal tibia. Ovariectomy uniformly reduced cortical area without altering cortical thickness. Differences in polar moment of inertia between experimental groups were only observed in the proximal tibia. Aging and ovariectomy also altered eccentricity in the distal tibia. In summary, site specificity analysis provides a valuable tool for measuring changes in cortical bone mass and architecture along the entire length of a bone. Changes in the (re)modeling response determined at a single site may not reflect the response at different locations within the same bone