Ditemukan 1767 dokumen yang sesuai dengan query
Kristiansen, Nancy S.
"Smile sheets are often maligned as poor evaluation tools, despite their widespread use. Is it possible to make them a useful tool? This issue of Infoline answers a resounding yes to this question by showing you how to make the humble evaluation form into a power tool that can gather reaction data you can use to improve the design and delivery of your program or future programs. Moreover, once you create these tools as guided by this issue, you can easily modify them for any future program!"
Alexandria, VA: [American Society for Training and Development Press;, ], 2005
e20438760
eBooks Universitas Indonesia Library
Syrett, Michel
Hatton: The Economist Books, 1999
658 SYR m
Buku Teks SO Universitas Indonesia Library
Ahmad Tohari
Jakarta: Gramedia Pustaka Utama, 2015
899.221 AHM k
Buku Teks SO Universitas Indonesia Library
Jung, I An
Seoul: Habit, 2009
KOR 362.95 JUN n
Buku Teks Universitas Indonesia Library
Gibran, Kahlil, 1883-1931
"In addition to The Prophet and numerous other volumes written in English, Kahlil Gibran published several books in his native language, Arabic. Beginning in 1948 we have been issuing these in definitive, complete, authorized versions. They include Spirits Rebellious and Nymphs of the Valley. The largest of these is A Tear and a Smile, which contains fifty-six parables, stories, and poems in Gibran's wholly inimitable manner. Illustrated with four of his own paintings and drawings, A Tear and a Smile is the most important recent addition to the canon of this greatly loved writer."
New York: Alfred A. Knopf, 1974
892.78 GIB t
Buku Teks SO Universitas Indonesia Library
"Library collection management is a vital part of any library?s operations. Making a collection count takes a holistic look at library collection management, connecting collection management activities and departments, and instructs on how to gather and analyse data from each point in a collection?s lifecycle. Relationships between collections and other library services are also explored. The result is a quality collection that is clean, current, and useful. The second edition includes expanded information on collection metrics, digital collections, and practical advice for managing collections effi ciently when time and resources are tight. It also includesmore real-life examples from practicing librarians in areas such as workflow analysis, collection budgets, and collection management techniques. Chapters cover the life cycle of a collection, understanding workfl ow and collecting metrics. Physical inventory, collection objectives and bookmarks, as well as collection organization, collection budgets and marketing collections are also discussed."
Oxford, UK: Chandos, 2013
e20427178
eBooks Universitas Indonesia Library
Cambridge, UK: Royal Society of Chemistry, 1989
R 660.2804 CHE II
Buku Referensi Universitas Indonesia Library
Geneva: Centre for Human Right, United Nations , 1991
341.481 UNI
Buku Teks Universitas Indonesia Library
Graves, Robert, 1895-1985
Victoria Pinguin Books 1938
935 G 362
Buku Teks Universitas Indonesia Library
"Paper ini menyajikan medote pendeteksi bibir dan senyum berdasarkan diagram tingkat kromatis RGB ternormalisasi. Metode ini menggunakan metode Viola-Jones yang populer untuk mendeteksi wajah. Untuk menghindari kesalahan positif, detektor mata diperkenalkan pada tahapan deteksi. Hanya kandidat wajah dengan mata yang telah terdeteksi yang dianggap sebagai wajah. Setelah wajah dideteksi, bagian bibir ditempatkan dengan menggunakan aturan geometris sederhana. Selanjutnya, batasan warna merah berdasarkan pada diagram kromatisitas RGB ternormalisasi digunakan untuk mengekstrak bibir. Teknik proyeksi digunakan untuk mendeteksi keadaan tersenyum. Dari hasil percobaan, metode yang diusulkan mencapai 97% untuk tingkat deteksi bibir dan 94% untuk tingkat deteksi senyum.
AbstractThis paper presents a lip and smile detection method based-on the normalized RGB chromaticity diagram. The method employs the popular Viola-Jones detection method to detect the face. To avoid the false positive, the eye detector is introduced in the detection stage. Only the face candidates with the detected eyes are considered as the face. Once the face is detected, the lip region is localized using the simple geometric rule. Further, the the red color thresholding based-on the normalized RGB chromaticity diagram is proposed to extract the lip. The projection technique is employed for detecting the smile state. From the experiment results, the proposed method achieves the lip detection rate of 97% and the smile detection rate of 94%."
[Fakultas Ilmu Komputer Universitas Indonesia, Institut Teknologi Nasional Malang. Program Studi Teknik elektro], 2011
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Artikel Jurnal Universitas Indonesia Library