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Application and Research of Monte Carlo Sampling Algorithm in Music Generation
Jun MIN,Lei WANG,Junwei PANG,Huihui HAN,Dongyang Li,Maoqing ZHANG,Yantai HUANG 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.10
Composing music is an inspired yet challenging task, in that the process involves many considerations such as assigning pitches, determining rhythm, and arranging accompaniment. Algorithmic composition aims to develop algorithms for music composition. Recently, algorithmic composition using artificial intelligence technologies received considerable attention. In particular, computational intelligence is widely used and achieves promising results in the creation of music. This paper attempts to provide a survey on the music generation based on the Monte Carlo (MC) algorithm. First, transform the MIDI music format files to digital data. Among these data, use the logistic fitting method to fit the time series, obtain the time distribution regular pattern. Except for time series, the converted data also includes duration, pitch, and velocity. Second, using MC simulation to deal with them summed up their distribution law respectively. The two main control parameters are the value of discrete sampling and standard deviation. Processing the above parameters and converting the data to MIDI file, then compared with the output generated by LSTM neural network, evaluate the music comprehensively.
Application to fractional-delayed state approach for sampled-data multi-agent systems
JunMin Park 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
This paper considers the stability analysis problem for sampled-data multi-agent systems by using a fractional-delayed approach. The fractional-delayed approach exploits the fractional-delayed state and its state-space model which is defined between the interval [t<SUB>k</SUB>, t]. And we construct Lyapunov functionals including looped-functional by utilizing this fractional-delayed appraoch. Based on the proposed Lyapunov functional, this paper derives the stability criterion in terms of linear matrix inequalities. Numerical example shows the effectiveness of the proposed criterion.
A Study on the Fabrication of Micro Groove on Si Wafer using Chemical Mechanical Machining
Junmin Park,Haedo Jeong 대한기계학회 2005 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.19 No.11S
Materials are either removed from or added to a device, usually in a selective manner with using thin and/or thick film manufacturing processes that transfer the lithographic patterns into integrated circuits (ICs) or three-dimensional micromachines. This study deals with material removal by chemically assisted mechanical micromachining. Two methods are used chemical mechanical machining method are introduced in this paper. One, mechanically assisted chemical etching, is applied to fabricate a micro beam such as cantilever, and another is chemically assisted mechanical micromachining to fabricate microstructure such as micropattern, microchannel. The results are discussed.
Junmin Park,Jinwoo Lee,Sangchul Won 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper proposes an adaptive fuzzy nonsingular terminal sliding mode control (AFNTSMC) scheme for modified function projective synchronization (MFPS) of two different chaotic systems with unknown functions. The proposed scheme combines adaptive fuzzy logic control (AFLC) with fuzzy nonsingular terminal sliding mode control (FNTSMC). The AFLC can estimate the unknown functions. The FNTSMC can reduce chattering phenomenon and convergence time of error states to finite time. The proposed scheme synchronizes these chaotic systems in finite time. The simulation results show the effectiveness of the proposed scheme.
Junmin Park,Daesung Jung,Wookyong Kwon,Soohee Han,Sangchul Won 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper proposes a periodic adaptive state dependent disturbance observer (PASDDOB) for motor control with the unknown input time delay, known output time delay and unknown phase delay from Q-filter to compensate the state dependent disturbance (SDD) that changes slowly by time. The PASDDOB has a structure that combines the state dependent disturbance observer (SDDOB) with the periodic adaptive learning compensation (PALC). The SDDOB compensates the known output delay and the unknown phase delay from Q-filter. The PALC compensates the unknown input time delay and the time-varying SDD. Therefore, the PASDDOB can compensate the SDD. The effectiveness of the proposed state dependent disturbance compensation method is demonstrated using MATLAB simulation results.
Junmin Chen,Xian Wang,Zhen He 영남수학회 2013 East Asian mathematical journal Vol.29 No.3
In this paper, a new monotonicity, M(·,·)-monotonicity, is introduced in Banach spaces, and the resolvent operator of an M(·,·)-monotone operator is proved to be single valued and Lipschitz continuous. By using the resolvent operator technique associated with M(·,·)-monotone operators, we construct a proximal point algorithm for solving a class of variational inclusions. And we prove the convergence of the sequences generated by the proximal point algorithms in Banach spaces. The results in this paper extend and improve some known results in the literature.