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Yasushi Kiyoki
Faculty of Environment and Information Studies, Keio University
Computer Science & IT

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The rSPA Processes of River Water-quality Analysis System for Critical Contaminate Detection, Classification Multiple-water-quality-parameter Values and Real-time Notification VEESOMMAI, Chalisa; KIYOKI, Yasushi
EMITTER International Journal of Engineering Technology Vol 4, No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2875.13 KB) | DOI: 10.24003/emitter.v4i1.112

Abstract

The water quality analysis is one of the most important aspects of designing environmental systems. It is necessary to realize detection and classification processes and systems for water quality analysis. The important direction is to lead to uncomplicated understanding for public utilization. This paper presents the river Sensing Processing Actuation processes (rSPA) for determination and classification of multiple-water- parameters in Chaophraya river. According to rSPA processes of multiple-water-quality-parameters, we find the pollutants of conductivity, salinity and total dissolved solid (TDS), which are accumulated from upstream to downstream. In several spots of the river, we have analyzed water quality in a maximum value of pollutants in term of oxidation-reduction potential (ORP). The first range effect of parameter is to express high to very high effects in term of dissolved oxygen, second is to express intermediate to very high effect in term of conductivity, third is to express low to very high effect in term of total dissolved solid, fourth is to express completely safe to very high effect in term of turbidity and the final is to express completely safe for effect in term of salinity.
A Time-Series Phrase Correlation Computing System With Acoustic Signal Processing For Music Media Creation Tsuneyama, Keiichi; Kiyoki, Yasushi
EMITTER International Journal of Engineering Technology Vol 5, No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2064.482 KB) | DOI: 10.24003/emitter.v5i1.188

Abstract

This paper presents a system that analyzes the time-series impression change in the acoustic signal by a unit of music phrase. The aim is to support the music creation using a computer (computer music) by bringing out composers potentially existing knowledge and skills. Our goal is to realize the cross-genre/cross-cultural music creation. Our system realizes the automatic extraction of musical features from acoustic signals by dividing and decomposing them into “phrases” and “three musical elements” (rhythm, melody, and harmony), which are meaningful for human recognition. By calculating the correlation between the target “target music piece” and the “typical phrase” in each musical genre, composers are able to grasp the time-series impression change of music media by the unit of music phrase. The system leads to a new creative and efficient environment for cross-genre/cross-cultural music creation based on the potentially existing knowledge on the music phrase and structure.
A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System Yokoyama, Motoki; Kiyoki, Yasushi; Mita, Tetsuya
EMITTER International Journal of Engineering Technology Vol 5, No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1671.349 KB) | DOI: 10.24003/emitter.v5i1.189

Abstract

The prevalence of smartphones and wireless broadband networks have been progressing as a new Railway infomration environment.　According to the spread of such devices and information technology, various types of information can be obtained from databases connected to the Internet. One scenario of obtaining such a wide variety of information resources is in the phase of user’s transportation. This paper proposes an information provision system, named the Station Concierge System that matches the situation and intention of passengers. The purpose of this system is to estimate the needs of passengers like station staff or hotel concierge and to provide information resources that satisfy user’s expectations dynamically. The most important module of the system is constructed based on a new information ranking method for passenger intention prediction and service recommendation. This method has three main features, which are (1) projecting a user to semantic vector space by using her current context, (2) predicting the intention of a user based on selecting a semantic vector subspace, and (3) ranking the services by a descending order of relevant scores to the user’ intention. By comparing the predicted results of our method with those of two straightforward computation methods, the experimental studies show the effectiveness and efficiency of the proposed method. Using this system, users can obtain transit information and service map that dynamically matches their context.
Co-Authors Mita, Tetsuya Tsuneyama, Keiichi VEESOMMAI, Chalisa Yokoyama, Motoki