211,138 research outputs found
Drama Tari Gagar Mayang ISI Surakarta (Limaran)
Sulit untuk memaksakan cinta. Cinta tidak semata-mata hadir begitu saja. Cinta hanya menimbulkan rasa sakit dan amarah. Amarah yang tak dapat dibendung hanya akan menimbulkan sengsara. Harapan akan cinta yang tulus kini telah sirna. Merupakan sajian drama tari dari ujian koreografi semester 6 pada Jurusan Tari ISI Surakarta.
Terdiri dari DEWI LIMARAN: Adian Isnatika Inabela, RAJA MALING KENTIRI: Aran Ditio Fathoni, JOKO LINTANG: Fajar Tri Asmoko, PASUKAN KIDANG: Eka Putri Ananda, Brigitha Marselia, Siti Khasanah, Tia Tri Utami, Rosita Anggun, Handika May C. P., Tri Saraswati, Anestri Sulanjari, PEMBURU: Oktavian Kusuma D.,Erica Nityananda Sonya, Fadilla Febry Erawati, Dina Rosita, Lenni Wulandari, Wilujeng Dyah Ayu Arimbi, Wakhidatul Nur Utami, Dini Putri Nur M., Paras Tri Utami, Elsa Kurnia Murti, PENANGGUNG JAWAB MUSIK: Asep Susanto, GENDER & KENDANG: Asep Susanto, DEMUNG & GAMBANG: Rano Prasetyo, SAXOPHONE & SARON: Nanang Sulistyo, VOKAL: Ardi Gunawan, Yenny Arama, KEMPUL: Renzia Fitra, BONANG: Yudha, SARON: Angger Widiasmara, BIOLA: Julio
Decision-Feedback Equalisation Using Multiple-Hyperplane Partitioning for Detecting ISI-Corrupted -ary PAM Signals
A novel decision feedback equaliser (DFE) scheme is derived based on multiple-hyperplane partitioning of signal space for detecting -ary PAM symbols transmitted through an intersymbol interference (ISI) and noisy channel. The proposed scheme is based on the observation that the optimal Bayesian decision boundary separating any two neighbouring signal classes is asymptotically piecewise linear and consists of several hyperplanes, when the signal to noise ratio (SNR) tends to infinity. An algorithm is developed to determine these hyperplanes, which are then used to partition the observation signal space. The resulting detector can closely approximate the optimal Bayesian detector and, in the asymptotic case of large SNR, achieves the full Bayesian DFE performance, at an advantage of considerably reduced detector complexity. Index Terms—Asymptotic decision boundary, Bayesian decision-feedback equalizer, multiple-hyperplane detector, signal space partitioning
Google Scholar as a source for citation and impact analysis for a non-ISI indexed medical journal
It is difficult to determine the influence and impact of journals which are not covered by the ISI databases and Journal Citation Report. However, with the availability of databases such as MyAIS (Malaysian Abstracting and Indexing System), which offers sufficient information to support bibliometric analysis as well as being indexed by Google Scholar which provides citation information, it has become possible to obtain productivity, citation and impact information for non-ISI indexed journals. The bibliometric tool Harzing's Publish and Perish was used to collate citation information from Google scholar. The study examines article productivity, the citations obtained by articles and calculates the impact factor of Medical Journal of Malaysia (MJM) published between 2004 and 2008. MJM is the oldest medical journal in Malaysia and the unit of analysis is 580 articles. The results indicate that once a journal is covered by MyAIS it becomes visible and accessible on the Web because Google Scholarindexes MyAIS. The results show that contributors to MJM were mainly Malaysian (91) and the number of Malaysian-Foreign collaborated papers were very small (28 articles, 4.8). However, citation information from Google scholar indicates that out of the 580 articles, 76.8 (446) have been cited over the 5-year period. The citations were received from both mainstrean foreign as well as Malaysian journals and the top three citors were from China, Malaysia and the United States. In general more citations were received from East Asian countries, Europe, and Southeast Asia. The 2-yearly impact factor calculated for MJM is 0.378 in 2009, 0.367 in 2008, 0.616 in 2007 and 0.456 in 2006. The 5-year impact factor is calculated as 0.577. The results show that although MJM is a Malaysian journal and not ISI indexed its contents have some international significance based on the citations and impact score it receives, indicating the importance of being visible especially in Google scholar
Great Expectatrics: Great Papers, Great Journals, Great Econometrics
The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including the classic 2-year impact factor (2YIF), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, and PI-BETA (Papers Ignored - By Even The Authors). The ISI RAM data are analysed for 8 leading econometrics journals and 4 leading statistics journals. The application to econometrics can be used as a template for other areas in economics, for other scientific disciplines, and as a benchmark for newer journals in a range of disciplines. In addition to evaluating high quality research in leading econometrics journals, the paper also compares econometrics and statistics, alternative RAM, highlights the similarities and differences in alternative RAM criteria, finds that several ISI RAM capture similar performance characteristics for the leading econometrics and statistics journals while the new PI-BETA criterion is not highly correlated with any of the other ISI RAM, and hence conveys additional information regarding ISI RAM, highlights major research areas in leading journals in econometrics, and discusses some likely future uses of RAM.Research assessment measures, impact factors, Immediacy, Eigenfactor score, Article influence, h-index, C3PO, Zinfluence, PI-BETA
Great Expectatrics: Great Papers, Great Journals, Great Econometrics
The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including the classic 2-year impact factor (2YIF), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, and PI-BETA (Papers Ignored - By Even The Authors). The ISI RAM data are analysed for 8 leading econometrics journals and 4 leading statistics journals. The application to econometrics can be used as a template for other areas in economics, for other scientific disciplines, and as a benchmark for newer journals in a range of disciplines. In addition to evaluating high quality research in leading econometrics journals, the paper also compares econometrics and statistics, alternative RAM, highlights the similarities and differences in alternative RAM criteria, finds that several ISI RAM capture similar performance characteristics for the leading econometrics and statistics journals while the new PI-BETA criterion is not highly correlated with any of the other ISI RAM, and hence conveys additional information regarding ISI RAM, highlights major research areas in leading journals in econometrics, and discusses some likely future uses of RAM.Research assessment measures; impact factors; Immediacy; Eigenfactor score; Article influence; h-index; C3PO; Zinfluence; PI-BETA
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
IFI and ISI premitigation for block-code-modulated noncoherent UWB impulse radio: A code optimization approach
Codeword matching and signal aggregation (CMSA) is a recently proposed low-complexity noncoherent receiver for block code modulated UWB Impulse Radio (UWB-IR) systems. As the frame/symbol duration is shortened to boost data rate, inter-frame interference (IFI) or inter-symbol interference (ISI) occurs and degrades detection performance of CMSA. In this paper, an effective IFI/ISI pre-mitigation scheme is proposed for CMSA by means of a code optimization approach. By employing a tailored interference model that highlights the codeword properties, the system performance in the presence of moderate IFI/ISI is evaluated and an average collected channel gain (CCG) is introduced as the metric for code optimization. With the primary focus on binary modulation, two IFI/ISI-robust code properties are generalized as Shifted-Orthogonality and Shifted-Repetition. Based on these properties, the optimal code is constructed. It is observed that, when the optimal code occurs, the leaked signal energy or the interference can be partially used to enhance the detection performance of CMSA in the presence of IFI/ISI. Unlike most of the existing IFI/ISI mitigation schemes for noncoherent UWB-IR that focus mainly on signal processing after the nonlinear detector, the optimized code is exploited to aggregate leaked signal energy along with the linear pre-detection operation already involved in CMSA receiver. Both analysis and simulation show that a distinct performance improvement is achieved
ASPEK ERGONOMI UNDAKAN PADA TAMAN FAK. SENI RUPA DAN DESAIN ISI DENPASAR
Stair represent one of element getting attention in landscape, especially for landscape more than high rise. How many people to saw stair made off hand because reason of room for limited stair or with beautiful design regardless of its user uncomfortable as its user. Formula of stair according to expert is: 2T + L = 63 cm, if for example us wish highly tread of stair 19 cm hence width 2x19+L=63cm or L=25 cm. If is wide our stair make 29 cm hence is high stair is 17 cm or is high our stair wish lower for example 11 cm hence width is 41 cm. All expert suggest inclination of stair 25 - 35º and is high of stair 17 wide cm and also 29 cm. If do not enable shall use high 19 cm and lower inclination from 25º, high of child of stair about 11 cm. most efficient stair with consumption of energy ( 10 cal / m kg)at or doorstep of stair with inclination 25 - 350, with deepness 29 cm and high 17 cm. Evaluated from aspect of ergonomic landscape stair Fine Arts and Design Faculty Arts Institute Indonesian of Denpasar yet applied aspect of ergonomic that is with: inclination 45º, high every tread of stair 25 width and cm 30 cm. Effort repair of landscape stair Fine Arts and Design Faculty Arts Institute Indonesian of Denpasar adapted for aspect of ergonomic that is with redesign inclination become 30º, high each of step stair 16,54 width and cm 29 cm so that user become balmy and for the efficiency of usage of consumption of energy minimum ( 10 cal / m kg). Constraint met related to effort repair of landscape stair Fine Arts and Design Faculty Arts Institute Indonesian of Denpasar, from technical facet will bother activity fluctuate stair because structure of stair have to be arranged to repeat, requirement of area for stair will increase so that garden growing narrow and need is also re-arranged especially trees stair around.
Key word: ergonomic, stair, landscap
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
In the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
ISI-analysis for all seasons.
(a) Density distribution of type II repeat interval for all years (normalised with the colour scale from 0 = blue to 1 = red), (b) peak time interval across years over 30–60 s (red circle, P1 song ISI), 70–100 s (blue square, P2 song ISI) and 160–200 s (black cross (P3 song ISI), and c) proportion of song-repeat values with year (same symbols and colours as b). The solid lines on b) are linear fits. The resolution used in a) was 0.1 s and 0.25 dB.</p
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