Broom v. Morgan Stanley DW, Inc.

Published in cooperation with the American Bar Association Section of Dispute Resolutio

Stack-run adaptive wavelet image compression

We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundancies present within individual subbands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. Experimental results show coding gains of up to 1:4dB over the benchmark wavelet coding algorithm

Characterizing Information Propagation in Plants

This paper considers an electro-chemical based communication model for intercellular communication in plants. Many plants, such as Mimosa pudica (the "sensitive plant"), employ electrochemical signals known as action potentials (APs) for communication purposes. In this paper we present a simple model for action potential generation. We make use of the concepts from molecular communication to explain the underlying process of information transfer in a plant. Using the information-theoretic analysis, we compute the mutual information between the input and output in this work. The key aim is to study the variations in the information propagation speed for varying number of plant cells for one simple case. Furthermore we study the impact of the AP signal on the mutual information and information propagation speed. We aim to explore further that how the growth rate in plants can impact the information transfer rate and vice versa.Comment: 6 pages, 5 Figures, Submitted to IEEE Conference, 201

The Influence of Product Quality, Prices and Promotions on Interest in Buying Sri Sulastri's Batik

This study aims to determine the effect of product quality, price and promotion of buying interest in Sri Sulastri's Batik of Bantul Yogyakarta. Type of research that used was quantitative research with survey methods. Sample in research was 100 customers who visited the Sri Sulastri's Batik Bantul Yogyakarta. Collection data methods used a questionnaire. Data analysis used multiple linear regression test. The results of the analysis show, 1) the quality of the product has influential positive and significant effect on buying interest in Sri Sulastri's Batik Bantul Yogyakarta, 2) price has positive and significant effect on buying interest in Sri Sulastri's batik Bantul Yogyakarta, 3) promotion has a positive and significant effect on the interest in buying Sri Sulastri's batik Bantul Yogyakarta, 4) coefficient of determination (R2) obtained for 0.536, which means that 53.6% of the product quality, price and promotion variables explain the variance of interest in buying interest, the remaining 46.44% is explained by other variables.Conclusion that product quality, price and promotion have an effect on buying interest Sri Sulastri's Batik Bantul Yogyakarta. Keywords: product quality, price, promotion, buying interes

Proses Pemiskinan Dan Eksploitasi Sumber Daya Alam Di Desa IV Koto Setingkai

Desa penelitian studi dianostik ini adalah Desa IV Koto Setingkai yang terletak di Kecamatan Kampar Kiri dengan ibukota kecamatan di Lipat Kain dan memiliki luaswilayah sebesar 1.961,41 Km2

Predicting Success Study Using Students GPA Category

. Maintaining student graduation rates are the main tasks of a University. High rates of student graduation and the quality of graduates is a success indicator of a university, which will have an impact on public confidence as stakeholders of higher education and the National Accreditation Board as a regulator (government). Making predictions of student graduation and determine the factors that hinders will be a valuable input for University. Data mining system facilitates the University to create the segmentation of students' performance and prediction of their graduation. Segmentation of student by their performance can be classified in a quadrant chart is divided into 4 segments based on grade point average and the growth rate of students performance index per semester. Standard methodology in data mining i.e CRISP-DM (Cross Industry Standard Procedure for Data Mining) will be implemented in this research. Making predictions, graduation can be done through the modeling process by utilizing the college database. Some algorithms such as C5, C & R Tree, CHAID, and Logistic Regression tested in order to find the best model. This research utilizes student performance data for several classes. Parameters used in addition to GPA also included the master's students data are expected to build the student profile data. The outcome of the study is the student category based on their study performance and prediction of graduation. Based on this prediction, the university may recommend actions to be taken to improve the student achievement index and graduation rates

Teknologi Produksi Non-pertanian Sebagai Motor Penggerak Pembangunan Perdesaan: Sebuah Studi Pustaka

Economic development centered in the urban areas has increased migration from rural areas to urban areas dramatically. As a consequence, labor force and farmland became scarce. Although this circumstance has risen productivity of the farmer, the fact is that the prosperity of the farmer is still not fulfilled sustainable yet. It is evoked by the price inelasticity of the crops. Therefore, wehave to develop non-agricultural and non-rural technologies. Some research in several countries based on both the evolutionary development theory and Haymer and Resnick's development models (1969) that has been developed, at least showed that indeed the change of non-agricultural production technology could increased prosperity rather than agricultural production technology. It means that the change ofnon agricultural technology can be used as an activator motor in agricultural development. The realization of it will at once return rural areas as an economic areas again

Studi Eksperimen Pengaruh Dimensi Pipa Kapiler pada Sistem Air Conditioning dengan Pre-Cooling

Penggunaan air conditioner semakin banyak digunakan pada kehidupan sehari-hari diiringi dengan harga jual energi yang semakin mahal. Pada studi eksperimen kali ini mencoba mengoptimalisasi dan menigkatkan efisiensi energi pada sistem air conditioner dengan cara menambahkan satu buah evaporator dan satu buah pre-cooling, dimana pre-cooling dimanfaatkan untuk memanaskan air yang nantinya akan digunakan untuk keperluan rumah tangga. Pada sistem pengkondisian udara yang telah dimodifikasi tersebut maka dilakukan studi eksperimen dengan variasi panjang pipa kapiler, diameter pipa kapiler d=0,054 in, dengan panjang kapiler 1 = 35 cm, kapiler 2 = 65 cm, kapiler 3 = 95 cm. Hasil yang didapat dari studi eksperimen kali ini adalah semakin bertambahnya panjang pipa kapiler, kapasitas pendinginan evaporator, kerja kompresor dan COP dari sistem juga akan semakin kecil dan juga mengakibatkan temperatur masuk evaporator akan semakin kecil, yang akan mengakibatkan efek pendinginan akan semakin besar. Pada variasi pipa kapiler terpendek 35 cm menghasilkan data kapasitas pendinginan total sebesar 2,25 kW, kerja kompresor 0,433 kW, temperatur masuk evaporator 7,26°C, COP sebesar 5,21 dan HRR sebesar 1,16. Sedangkan pada variasi pipa kapiler terpanjang 95 cm kapasitas pendinginan total sebesar 0,72 kW, kerja kompresor 0,332 kW, temperatur masuk evaporator 1,64°C, COP sebesar 4,35 dan HRR sebesar 1,26