cover
Contact Name
Indar Sugiarto
Contact Email
chief-editor@jirae.org
Phone
+6282139203291
Journal Mail Official
chief-editor@jirae.org
Editorial Address
Institute of Research and Community Outreach Petra Christian University Siwalankerto 121-131, Surabaya - Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
International Journal of Industrial Research and Applied Engineering
ISSN : -     EISSN : 24077259     DOI : 10.9744/jirae
JIRAE is a peer-reviewed international journal providing a medium for the academic and industrial community to share cutting-edge research and development in various aspects of industrial technology and applied engineering. The objectives are: to encourage research work in the field of industrial technology and applied engineering among scientists, researchers, engineering practitioners, and industrial experts to improve efficiency, reduce costs, and generate high-quality products / services; to promote the adoption and development of comprehensive and state-of-the-art technologies for enterprises and industries; and, to bridge the theoretical and practical gap between academia and industry, and advocate collaboration to address enterprise and industry challenges.
Articles 5 Documents
Search results for , issue "Vol 3, No 2 (2018)" : 5 Documents clear
Experimental Study of Combustion Fluctuation Reduction Using In-Cylinder Pressure Estimation in Gasoline Engine Mitsuhisa Ichiyanagi; Willyanto Anggono; Edyta Dzieminska; Takashi Suzuki
International Journal of Industrial Research and Applied Engineering Vol 3, No 2 (2018)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.913 KB) | DOI: 10.9744/jirae.3.2.51-60

Abstract

Gasoline engines needs to reduce its negative emission waste and raise its thermal efficiency. Previous studies have shown an improvement of engines by regulating the ignition timing and retaining the engine at certain air-to-fuel ratio. Additional development of the thermal efficiency is anticipated by reducing the oscillation of pressure due to combustion (referred to as combustion fluctuation) during each cycle. Reducing the combustion fluctuations promotes the generation of a stable combustion field and improves fuel consumption. Since the combustion fluctuations are significantly affected by the in-cylinder pressure at compression top dead center (referred to as TDC pressure), the present study proposes a method to estimate the TDC pressure in the next cycle. The estimation was conducted by measuring the in-cylinder pressure at exhaust valve opening in the given cycle. This study also developed the method to reduce the combustion fluctuations by using the TDC pressure estimation and controlling the ignition timing. In our experiments, it was found that the developed methods reduced the fluctuations of the indicated mean effective pressure (IMEP), the maximum in-cylinder pressure, and the TDC pressure by 62.1%, 51.2%, and 38.5%, respectively.
Game Popularity Tracking System Joseph Alexander Budiarto
International Journal of Industrial Research and Applied Engineering Vol 3, No 2 (2018)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.318 KB) | DOI: 10.9744/jirae.3.2.79-85

Abstract

The purpose of this research is to develop a game popularity tracking system that can generate popularity values once every 24 hours using daily data from Google Analytics. Within the scope of this project, game popularity is defined as the fact that the quality of a certain game is liked by many people. There are 5 metrics that can be used to calculate game popularity: users count, unique page views (UPV), average time on page (ATP), the difference of unique page views, and average time on page from the day before. To generate the popularity values daily, the combination of weighted average, exponential moving average, and exponential smoothing algorithm are used. The final result of this project is a service that can run automatically and also provides an HTTP API that could fetch popularity values of games from gaming sites, sending the data in XML format for other services to use when needed. The service is built using Node.JS and other in-trend technologies such as Google Analytics API v4, OAuth 2.0, Express.JS, etc.
Development of On-board Polytropic Index Prediction Model for Injection Timing Optimization of Diesel Engines Mitsuhisa Ichiyanagi; Hayao Joji; Hiroki Matsui; Emir Yilmaz; Takashi Suzuki
International Journal of Industrial Research and Applied Engineering Vol 3, No 2 (2018)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.722 KB) | DOI: 10.9744/jirae.3.2.61-68

Abstract

Diesel engines are required to reduce exhaust emissions during real-world operations. In this regard, a new control concept called model-based control has been explored. Unlike the conventional method of relying on steady-state measurements, model-based control allows cycle-by-cycle optimization of control inputs based on physical principles. Existing models for combustion control have been using empirical equations to predict polytropic index for the compression stroke for estimation of in-cylinder pressure and temperature at fuel injection. Therefore, in this study, a polytropic index prediction model was developed in MATLAB to maintain the engine performance under transient conditions and to reduce the required number of experiments. The model includes a heat loss model and a gas flow model to consider the effect of wall heat transfer and gas flows inside the cylinder. The computational load of the model was reduced through discretization of a single engine cycle into several calculation points. The model was validated against numerical simulation results under steady conditions first, and then applied to transient conditions for more realistic operational conditions. The model estimated the polytropic index with average errors under steady and transient conditions with 0.22% and 0.37%, respectively. Finally, the calculation time of the model was evaluated to be 50.6 μs. It was concluded the model can be implemented on a model-based controller in the future.
Development of On-Board In-Cylinder Gas Flow Model for Heat Loss Estimation of Diesel Engines Mitsuhisa Ichiyanagi; Kazuki Kojima; Hayao Joji; Hiroki Matsui; Takashi Suzuki
International Journal of Industrial Research and Applied Engineering Vol 3, No 2 (2018)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.396 KB) | DOI: 10.9744/jirae.3.2.69-78

Abstract

Diesel engines have been demanded to further increase the thermal efficiency through precise engine control under transient driving conditions, especially, it is essential to optimize the fuel injection timing and quantity cycle-by-cycle. Conventionally, fuel injection have been controlled by control maps, which resulted in large numbers of experiments and increase in cost. In order to overcome these problems, the present study focused on the model-based control and developed the on-board gas flow model, because the heat loss is affected by the turbulent intensity. Firstly, a validation of the CFD simulation is evaluated. The CFD simulation was used to validate the developed models and to determine unknown parameters used in the model. Secondly, modeling of in-cylinder gas flow is presented. To estimate the injection timing within 0.5 deg. against the target value, the heat loss must be estimated within the error range of 7.6%. Finally, as results, the error of heat loss obtained from gas flow model was 1.6%, and gas flow model fully met the requirement of tolerance range. From the viewpoint of calculation time, the calculation time of the model was 50.6 ms per cycle, and thus the model is capable of the use of on-board applications.
Biometric Course Attendance Monitor Benjamin Kommey
International Journal of Industrial Research and Applied Engineering Vol 3, No 2 (2018)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.705 KB) | DOI: 10.9744/jirae.3.2.86-91

Abstract

Abstract. During lectures, unless a lecturer clearly spots out that a particular student is absent, it becomes difficult to do so in an institution where manual system or sheet of papers are used for recording attendance. Students can sign the signatures of their colleagues and hence fill in the particulars of their absentee friend during attendance recording. This attitude employed by students nullifies the very purpose of taking attendance during lectures. Fingerprints are unique to each individual. They are considered as the best and fastest method for biometric identification. The hand or fingers of a student cannot be passed on to a colleague and hence his/her fingerprints. In an academic environment, the ability of a student to make a copy of his/her fingerprint for the purpose of proxy attendance recording is minimal or non-existent. A student has to be present at a lecture before he/she can be verified biometrically. In this paper, we present a fingerprint-based Biometric Course Attendance Monitor for recording attendance in educational institutions. The system comprises of an embedded device and a web application. The embedded device records attendance electronically after a student is identified using fingerprint recognition system. Attendance is recorded and stored locally on the embedded device. The device is then interfaced with a web application for managing the attendance records of students. Keywords: Biometric, Fingerprint, Attendance, Student, Lecture.

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