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Performance Evaluation of Pangium edule Biodiesel Developed Using Palm Kernel Shell Heterogeneous Catalyst as Alternative Fuel in Multifunction Diesel Engine 1

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4th International Conference on Experimental and Computational Mechanics in engineering, ICECME 2022

作者： Rizal, Teuku Azuar Khairil Mahidin Husin, Husni Department of Mechanical Engineering Universitas Samudra Meurandeh Kota Langsa24416 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Doctoral Program in Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia

ISBN: (数字)9789819974955

ISBN: (纸本)9789819974948

The main idea of this article is to provide further knowledge related to the application of pure biodiesel in a custom power generator. Previous research has shown preliminary results regarding the potential of Pangium edule. Biodiesel as feedstock and has been tested to run a diesel engine with lower rotational speed. The biodiesel in this research has been prepared using a heterogeneous catalyst derived from a palm kernel shell impregnated with K2CO3. In this research, small alternator is driven by Yanmar TF65 R-DI multifunction diesel engine, which is easily assembled and has been utilized as a power generator to be evaluated. The engine was tested under various biodiesel blend with given load and connected to multiple instrument to record data required, i.e. engine speed (rpm), fuel flow (ml/sec), voltage (V), and current (A) readings. The data series then used to analyse the engine performances. The custom power generator has been designed to work at 5.5 kWh in prolonged operation time, suitable to supply typical household wattage in the region, ranging from 0.9 up to 3 kWh. The fuel mixtures containing 20% biodiesel, or B20, is still desirable to use in general multipurposes diesel engine. While B30 show similar potential but it does not show a similar performance as in higher rotational speed diesel power generator as demonstrated earlier. However, PE biodiesel still shows a promising performance as an alternative source of diesel engine fuel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Diesel engines

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Leftmost outside-in narrowing calculi

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Journal of Functional programming 1997年第2期7卷 129-161页

作者： Ida, Tetsuo Nakahara, Koichi Inst. of Info. Sci. and Electronics Ctr. for Tsukuba Adv. Res. Alliance University of Tsukuba Tsukuba 305 Japan Canon Inc. Shimomaruko Ohta-ku Tokyo 146 Japan University of Tsukuba Doctoral Program of Engineering Japan

We present narrowing calculi that are computation models of functional-logic programming languages. The narrowing calculi are based on the notion of the leftmost outside-in reduction of Huet and Lévy. We note the correspondence between the narrowing and reduction derivations, and define the leftmost outside-in narrowing derivation. We then give a narrowing calculus OINC that generates the leftmost outside-in narrowing derivations. It consists of several inference rules that perform the leftmost outside-in narrowing. We prove the completeness of OINC using an ordering defined over a narrowing derivation space. To use the calculus OINC as a model of computation of functional-logic programming, we extend OINC to incorporate strict equality. The extension results in a new narrowing calculus, s-OINC. We show also that s-OINC enjoys the same completeness property as OINC.

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Recognition of sequential patterns by nonmonotonic neural networks

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Systems and Computers in Japan 1999年第4期30卷 11-19页

作者： Morita, Masahiko Murakami, Satoshi Inst. of Info. Sci. and Electronics University of Tsukuba Tsukuba 305-8573 Japan Doctoral Program in Engineering University of Tsukuba Tsukuba 305-8573 Japan Dept. of Math. Eng. and Info. Phys. Faculty of Engineering University of Tokyo University of Tsukuba College of Engineering Systems University of Tsukuba Doctoral Program in Engineering

A neural network model that recognizes sequential patterns without expanding them into spatial patterns is presented. This model forms trajectory attractors in the state space of a fully recurrent network by a simple learning algorithm using nonmonotonic dynamics. When a sequential pattern is input after learning, the network state is attracted to the corresponding learned trajectory and the incomplete part of the input pattern is restored in the input part of the model;at the same time, the output part indicates which sequential pattern is being input. In addition, this model can recognize learned patterns correctly even if they are temporally extended or contracted.

关键词： Pattern recognition

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Characteristics and Generation of Household Hazardous Waste (HHW) in Semarang City Indonesia 2

Characteristics and Generation of Household Hazardous Waste ...

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2nd International Conference on Energy, Environmental and Information System, ICENIS 2017

作者： Fikri, Elanda Purwanto, Purwanto Sunoko, Henna Rya Department of Environmental Health Bandung Health Polytechnic Cimahi Utara Bandung Indonesia Doctoral Program of Environmental Science School of Postgraduate Studies Universitas Diponegoro Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Semarang Indonesia Faculty of Medicine Universitas Diponegoro Semarang Indonesia

Most of Household Hazardous Waste (HHW) is currently mixed with domestics waste. So that, it can impact human health and environmental quality. One important aspect in the management strategy is to determine the quantity generated and characteristics of HHW. The method used to determine the characteristics HHW refers to SNI 19-2454-2002, while the HHW generation refers to the SNI 19-3694-1994 calculated based on weight and volume. Research was conducted in four districts of Semarang. The samples used in this study were 400 families calculated based on the proportion of Slovin Formula. The characteristic of HHW in Semarang City is mainly infectious (79%), then poisonous (13%), combustible (6%) and corrosive materials (2%). The quantity HHW generated is 0.01 kg/person/day equivalent with 5.1% of municipal solid waste (MSW) in Semarang (linear equations: Y=1,278x+82,00 (volume), y=0,216x+13,89 (weight). © 2018 The Authors, published by EDP Sciences.

关键词： Municipal solid waste

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Regenerative Braking System in E-Trike: Interval Type-2 Fuzzy Logic Control to Enhance Driving Range 5

Regenerative Braking System in E-Trike: Interval Type-2 Fuzz...

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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Wahid, Muhammad Rizalul Joelianto, Endra Arief Budiman, Bentang Institut Teknologi Bandung Doctoral Program in Engineering Physics Bandung Indonesia Universitas Pendidikan Indonesia Mechatronics and Artificial Intelligence Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia Institut Teknologi Bandung Faculty of Mechanical and Aerospace Engineering Bandung Indonesia

ISBN: (纸本)9798350364743

Electric vehicles (EV s) boast zero tailpipe emissions, directly improving air quality and lowering greenhouse gas emissions. Despite the promise of EVs for sustainable transportation, their limited range is a key challenge. Regenerative braking is a promising approach for enhancing the driving range. This research proposes a study of Interval Type-2 Fuzzy Logic (IT2FL) control to improve regenerative braking efficiency in an electric trike. Employing IT2FL control for regenerative braking recovers 35.84% of energy, translating to a 91.053 km increase in driving range. The IT2FL method achieved a range of 50 km/kWh, representing a significant 41.7% improvement. Furthermore, utilizing the Nie-Tan Method reducer within the IT2FL framework could extend the range by an additional 2.3 km, resulting in a 3 % increase in energy recovery. These findings demonstrate the effectiveness of IT2FL control in enhancing regenerative braking efficiency for the electric trike. © 2024 IEEE.

关键词： Air quality

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Advanced Data Instrumentation for Stunting Analysis in Physical-Cyber Architecture 17

Advanced Data Instrumentation for Stunting Analysis in Physi...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Nugraha, Daniel Nurtam, M. Riza Mistialustina, Hartuti Saepudin, Didin Surjono, Welly Prihatmanto, Ary Setijadi Institut Teknologi Bandung Doctoral Program of School of Electrical Engineering and Infomatics Bandung Indonesia Universitas Widya Dharma Pontianak Kalimantan Barat Indonesia Universitas Sangga Buana Faculty of Engineering Electrical Engineering Department Bandung Indonesia Universitas Sangga Buana Bandung Indonesia Institut Teknologi Bandung School of Electical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350309164

In Indonesia, stunting is a serious problem that has drawn a lot of attention from the government. This study offers a novel strategy for preventing stunting by combining the 5-Desk Model used in integrated health posts (Posyandu) with the Cyber-Physical System (CPS) architecture. Chronic malnutrition and childhood diseases can cause stunting, which can result in long-Term health issues and cognitive deficits. Despite advancements, it still poses a serious threat to almost every Indonesian province. For the purpose of gathering data in Posyandu, such as registration, growth measurement, recording, counseling, and health services, the 5-Desk Model provides an organized framework. This promotes the well being of the community and gives healthcare professionals the ability to thoroughly monitor important health indicators. This strategy is improved with CPS integration, which results in a four-layered, comprehensive system that includes gamification, business intelligence, information systems, and instrumentation. To maximize efforts to avoid stunting, this architecture facilitates accurate monitoring, real-Time data collecting, data analysis, and stakeholder communication. This study imagines a data-driven future for Indonesian stunting prevention, where cooperation, technology, and data are combined to address this pressing problem and safeguard the future prospects and wellbeing of Indonesia's youth. Implementing this goal and expanding stunting prevention initiatives will be the main goals of future research. © 2023 IEEE.

关键词： Cyber Physical System

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Function analysis method of human's motion control system

Function analysis method of human's motion control system

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IEEE International Conference on Systems, Man and Cybernetics

作者： H. Kawamoto Y. Sankai Sankai Lab Doctoral Program in Engineering University of Tsukuba Tsukuba Japan Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Japan

The purpose of this research is to propose a quantitative analysis method to analyze the relationship between the feedforward controller and feedback controller in a motion learning process, and also to assess the effectiveness of this method by experiments. To analyze the mechanisms of the motion control systems, we propose: 1) a control gain identification method, 2) a squared-error separation method, 3) a gradient separation method, and 4) a pattern correlation method. The inverted pendulum is used to evaluate the effectiveness of these methods. Experiments show that the proposed methods are an effective way to separate the motor control system into feedforward control and feedback control. They also disclose the fact that there are two learning processes; one of which mainly performs feedback control and the other mainly feedforward control.

关键词： Motion control Control systems Feedback control Force feedback Force measurement Automatic control Adaptive control Motion analysis Humans Delay effects

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A model of context-dependent association using selective desensitization of nonmonotonic neural elements

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Systems and Computers in Japan 2005年第7期36卷 73-83页

作者： Morita, Masahiko Matsuzawa, Kouhei Morokami, Shigemitsu Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba 305-8573 Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba 305-8573 Japan

In neural networks based on a distributed information representation, when different patterns are to be recalled from the same input by association depending on the context, the usual method is to concatenate the pattern representing the context with the input pattern. However, there is a serious problem in this approach, and strong constraints are imposed on the number of inputs and the number of context patterns. This paper tries to apply a different method of contextual modification to nonmonotonic neural networks in order to construct a context-dependent associative model that can solve the longstanding problem. In the proposed model, the number of associations that can be learned increases almost in proportion to the number of elements, regardless of the numbers of the input and context patterns. In addition, the state transitions among attractors can be controlled flexibly by switching the context, which enables the model to simulate the behavior of any finite automaton without inducing an explosive increase in the number of elements or the training time. The model also has a high generalization power ability based on fully distributed representations and has potential for overcoming the limitations of conventional symbol processing. © 2005 Wiley Periodicals, Inc.

关键词： Neural networks

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Segmented attenuation map reconstruction from incomplete transmission data

Segmented attenuation map reconstruction from incomplete tra...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： H. Kudo H. Nakamura Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Japan Doctoral Program in Engineering University of Tsukuba Tsukuba Japan

Accurate reconstruction of attenuation maps from incomplete sinograms are required in some cases of SPECT and PET imaging. This paper proposes a new method to directly reconstruct segmented attenuation maps from the incomplete sinograms. The proposed method is based on an image labeling technique where an optimum label configuration minimizing some energy function is found by using a stochastic sampling with simulated annealing. Unlike ordinary image labeling techniques, however, the authors introduce a powerful constraint called the topology-preserving constraint. This constraint reduces the search space to a set of label configurations having the same topology as the known topology of the attenuation map in question. The experimental results demonstrate that the topology-preserving constraint is powerful enough to reconstruct accurate segmented attenuation maps from the incomplete sinograms. The proposed method is tested with simulated data and PET transmission data.

关键词： Attenuation Image reconstruction Image segmentation Positron emission tomography Labeling Topology Stochastic processes Image sampling Simulated annealing Testing

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A quadratic spline function generator based on B-spline functions

A quadratic spline function generator based on B-spline func...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Kamada H. Sakai K. Toraichi Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Japan Doctoral Program in Engineering University of Tsukuba Tsukuba Japan

A function generator that converts a discrete time signal to its interpolation by a quadratic spline function with no phase distortions is described. The generator synthesizes the output as a linear combination of B-spline functions generated coherently and continuously. The method reduces the total scale of the circuitry and improves the accuracy in the final output waveform. An implementation of the spline function generator is described.< >

关键词： Spline Sampling methods Switching circuits Filters Phase distortion Interpolation Large-scale systems Circuit noise Signal generators Design methodology

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