Faculty recital: Hung-Kuan Chen, March 18, 1990

This is the concert program of the Faculty Recital: Hung-Kuan Chen performance on Sunday, March 18, 1990 at 8:00 p.m., at the Tsai Performance Center, 685 Commonwealth Avenue, Boston, Massachusetts. Works performed were Nocturne, Op. 31 by Lowell Liebermann, Sonata in B-flat major, Op. 106 "Hammerklavier" by Ludwig van Beethoven, Nocturne in E-flat Major, Op. 55 No. 2 and Nocturne in C minor, Op. 48 No. 1 by Frédéric Chopin, and Variations on a Theme by Paganini, Op. 35 by Johannes Brahms. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund

Faculty recital: Hung-Kuan Chen, piano, October 29, 1986

This is the concert program of the Faculty Recital: Hung-Kuan Chen, piano performance on Wednesday, October 29, 1986 at 8:00 p.m., at the Concert Hall, 855 Commonwealth Avenue. Works performed were Sonata Op. 111 in C minor by Ludwig van Beethoven, "Gaspard de la Nuit" by Maurice Ravel, and Sonata in G minor by Franz Liszt. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund

Faculty recital: Hung-Kuan Chen, piano, February 4, 1987

This is the concert program of the Faculty Recital: Hung-Kuan Chen, piano performance on Wednesday, February 4, 1987 at 8:00 p.m., at the Concert Hall, 855 Commonwealth Avenue. Works performed were the following by Ludwig van Beethoven: Sonata Op. 10, No. 1 in C minor, Sonata Op. 27, No. 1 in E-flat major Quasi una Fantasia, Sonata Op. 54, in F major, and Sonata Op. 106 in B-flat major Hammerklaviersonata. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund

Peramalan Harga Ethereum Menggunakan Chen Fuzzy Time Series dengan Fuzzy C-Means Clustering (FCM)

Peramalan biasanya digunakan untuk meramalkan sesuatu yang akan terjadi di masa depan menggunakan data historis yang sudah ada. Penelitian ini bertujuan untuk meramalkan harga Ethereum menggunakan data historis pada bulan November 2021, terdapat tiga jenis data yang dipakai, yaitu open, high, dan low. Pada penelitian ini digunakan Chen fuzzy time series dengan fuzzy c-means clustering (FCM) untuk mencari intervalnya dan single exponential smoothing (SES) sebagai pembandingnya. Perhitungan menggunakan metode Chen fuzzy time series dengan fuzzy c-means clustering (FCM) dan single exponential smoothing (SES) didapatkan ramalan harga Ethereum pada tanggal 1 Desember 2021 untuk nilai open, high, dan low. Selanjutnya dihitung nilai average forecasting error rates (AFER) dari metode Chen fuzzy time series dengan fuzzy c-means clustering (FCM) dan metode single exponential smoothing (SES). Nilai AFER dari metode Chen fuzzy time series dengan fuzzy c-means clustering (FCM) untuk nilai open, high, dan low adalah {2,763%, 2,044%, 1,787%} sedangkan nilai AFER dari metode single exponential smoothing (SES) untuk nilai open, high, dan low adalah {3,063%, 2,336%, 2,870%}. Ini berarti bahwa peramalan dari Chen fuzzy time series dengan fuzzy c-means clustering lebih baik daripada single exponential smoothing dalam meramalkan harga Ethereum pada bulan November 2021

Fine recycled concrete aggregate as a material replacement in concrete production

As a fast and rapid growing nation, Malaysia undergoes a lot of development especially in construction field. Most of the building nowadays are being made mainly using concrete as it provides many favorable features such as satisfactory compressive strength, durability, availability, versatility and cost effectiveness. However, in pursuing the development era, sometimes the authorities overlooked about the construction and demolition (C&D) waste that had been created along the development progress. Construction and demolition waste is becoming a vital issue especially to the environmental aspect in many large cities in the world (Chen et al., 2002). Shen [1] describe C&D waste as the waste which generated from renovation, site clearing, demolition, construction, roadwork, land excavation and civil and building construction. Construction and Demolition (C&D) waste constitutes a major portion of total solid waste production in the world, and most of it is used in landfills .

Multi-bits biometric string generation based on the likelyhood ratio

Preserving the privacy of biometric information stored in biometric systems is becoming a key issue. An important element in privacy protecting biometric systems is the quantizer which transforms a normal biometric template into a binary string. In this paper, we present a user-specific quantization method based on a likelihood ratio approach (LQ). The bits generated from every feature are concatenated to form a fixed length binary string that can be hashed to protect its privacy. Experiments are carried out on both fingerprint data (FVC2000) and face data (FRGC). Results show that our proposed quantization method achieves a reasonably good performance in terms of FAR/FRR (when FAR is 10−4, the corresponding FRR are 16.7% and 5.77% for FVC2000 and FRGC, respectively)

The mismatch between job openings and job seekers

Today's high unemployment rate is often linked to a structural imbalance—a mismatch between the skills and location required to fill vacant jobs and the skills and geographical preferences of the unemployed. But the evidence downplays the role of this mismatch.Unemployment ; Labor market