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5th International Conference on Energy, environmental and Information System, ICENIS 2020

作者： Fatmawaty, Dewi Purnaweni, Hartuti Luqman, Yanuar Master Program of Environmental Sciences School of Post Graduate Diponegoro University Semarang Indonesia Doctoral Program of Environmental Sciences School of Post Graduate Diponegoro University Semarang Indonesia Departement of Communication Faculty of Social Science and Political Science Diponegoro University Semarang Indonesia

The economic growth of the City of Semarang is influenced by the development of the manufacturing/ construction industry and construction has an effect on increasing pollution and/ or environmental damage. For this reason, one of the Government's efforts to provide protection and living environment management for its citizens is through environmental law enforcement. The main objective of law enforcement in cases of pollution and/ or environmental damage is to restore the environmental ecosystem and to improve the quality of the environment. Administrative legal instruments are considered the most appropriate for this purpose, because the characteristics of administrative sanctions are preventive through supervision and licensing and are repressive through the application of administrative sanctions. This study aims to find out how the enforcement of environmental law through administrative law, how the implementation of administrative sanctions as one of the instruments of law enforcement for environmental administration and inhibiting factors in its application. This research uses the literature method by studying books, laws and regulations and other written materials related to the discussion material. © The Authors, published by EDP sciences, 2020.

关键词： Pollution

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A graduate course in faculty development

A graduate course in faculty development

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37th Annual Frontiers in EducationConference

作者： Dziedzic, Mauricio Janissek, Paulo Roberto Tozzi, Marcos Jose Graduate Program in Environmental Management Centro Universitário Positivo Faculty of Science and Technology Centro Universitário Positivo

ISBN: (纸本)9781424410835

Engineering undergraduate and graduate programs in science and technology usually do not include teaching courses. Thus, most professors are forced to rely on their experience as students, and mimic good teaching practices of their model teachers. The work reported herein is an attempt to correct this by giving future professors an opportunity to develop good teaching practices while in graduate school, through a course in "Faculty Development". The course syllabus includes: student attraction and retention, assessment, course content, faculty development, teaching methods, program organization, relationship with students, lecture preparation, teaching techniques, ethics, and learning theory. The class is split into groups of four or less students, which must read the references and prepare short presentations for the topics planned for each meeting. Some of the students which take the course are already teaching at the time and are able to apply what they learn even as the course progresses, reporting positive reactions from their students, as well as improved learning and student attitude.

关键词： faculty development graduate course

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

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Frontiers of Structural and Civil Engineering 2023年第2期17卷 284-305页

作者： Hai-Van Thi MAI May Huu NGUYEN Son Hoang TRINH Hai-Bang LY Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

Fiber-reinforced self-compacting concrete(FRSCC)is a typical construction material,and its compressive strength(CS)is a critical mechanical property that must be adequately *** the machine learning(ML)approach to estimating the CS of FRSCC,the current research gaps include the limitations of samples in databases,the applicability constraints of models owing to limited mixture components,and the possibility of applying recently proposed *** study developed different ML models for predicting the CS of FRSCC to address these *** neural network,random forest,and categorical gradient boosting(CatBoost)models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique.A database of 381 samples was created,representing the most significant FRSCC dataset compared with previous studies,and it was used for model *** findings indicated that CatBoost outperformed the other two models with excellent predictive abilities(root mean square error of 2.639 MPa,mean absolute error of 1.669 MPa,and coefficient of determination of 0.986 for the test dataset).Finally,a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of *** results showed that the cement content,testing age,and superplasticizer content are the most critical factors affecting the CS.

关键词： compressive strength self-compacting concrete artificial neural network decision tree CatBoost

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

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Frontiers of Structural and Civil Engineering 2022年第9期16卷 1153-1169页

作者： Van Quan TRAN Van Loi GIAP Dinh Phien VU Riya Catherine GEORGE Lanh Si HO Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

The degradation of concrete structure in the marine environment is often related to chloride-induced corrosion of reinforcement ***,the chloride concentration in concrete is a vital parameter for estimating the corrosion level of reinforcement *** research aims at predicting the chloride content in concrete using three hybrid models of gradient boosting(GB),artificial neural network(ANN),and random forest(RF)in combination with particle swarm optimization(PSO).The input variables for modeling include exposure condition,water/binder ratio(W/B),cement content,silica fume,time exposure,and depth of *** results indicate that three models performed well with high accuracy of prediction(R2⩾0.90).Among three hybrid models,the model using GB_PSO achieved the highest prediction accuracy(R2=0.9551,RMSE=0.0327,and MAE=0.0181).Based on the results of sensitivity analysis using SHapley Additive exPlanation(SHAP)and partial dependence plots 1D(PDP-1D),it was found that the exposure condition and depth of measurement were the two most vital variables affecting the prediction of chloride *** the number of different exposure conditions is larger than two,the exposure significantly impacted the chloride content of concrete because the chloride ion ingress is affected by both chemical and physical *** study provides an insight into the evaluation and prediction of the chloride content of concrete in the marine environment.

关键词： gradient boosting random forest chloride content concrete sensitivity analysis

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Real-time optimization using gradient adaptive selection and classification from infrared sensors measurement for esterification oleic acid with glycerol

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 130-144页

作者： Iwan Aang Soenandi Taufik Djatna Ani Suryani Irzaman Post Graduate Program of Agro-industrial Technology Bogor Agricultural UniversityBogorIndonesia and Faculty of Engineering and Computer ScienceKrida Wacana Christian UniversityJakartaIndonesia Post Graduate Program of Agro-industrial Technology Bogor Agricultural UniversityBogorIndonesia Department of Physics Faculty of Mathematics and Natural SciencesBogor Agricultural UniversityBogorIndonesia

Purpose-The production of glycerol derivatives by the esterification process is subject to many constraints related to the yield of the production target and the lack of process *** accurate monitoring and controlling of the process can improve production yield and *** purpose of this paper is to propose a real-time optimization(RTO)using gradient adaptive selection and classification from infrared sensor measurement to cover various disturbances and uncertainties in the ***/methodology/approach-The integration of the esterification process optimization using self-optimization(SO)was developed with classification process was combined with necessary condition optimum(NCO)as gradient adaptive selection,supported with laboratory scaled medium wavelength infrared(mid-IR)sensors,and measured the proposed optimization system indicator in the batch *** Process Modeling and Notation(BPMN 2.0)was built to describe the tasks of SO workflow in collaboration with NCO as an abstraction for the conceptual ***,Stateflow modeling was deployed to simulate the three states of gradient-based adaptive control combined with support vector machine(SVM)classification and Arduino microcontroller for ***-This new method shows that the real-time optimization responsiveness of control increased product yield up to 13 percent,lower error measurement with percentage error 1.11 percent,reduced the process duration up to 22 minutes,with an effective range of stirrer rotation set between 300 and 400 rpm and final temperature between 200 and 210℃ which was more efficient,as it consumed less *** limitations/implications-In this research the authors just have an experiment for the esterification process using glycerol,but as a development concept of RTO,it would be possible to apply for another chemical reaction or *** implications-This research introduces new development of an RTO approach to optimal con

关键词： Gradient technique Infrared sensor Real-time optimization Simulation and modelling Support vector machine

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh NGUYEN Binh Thai PHAM May Huu NGUYEN Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

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A Review on Landfill Management in the Utilization of Plastic Waste as an Alternative Fuel 2

A Review on Landfill Management in the Utilization of Plasti...

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

作者： Hidayah, Nurul Syafrudin Master Program of Environmental Science School of Post Graduate Studies Diponegoro University Indonesia Environmental Engineering Dept Faculty of Engineering Diponegoro University Indonesia

Wastes from landfills originate from many spheres of life. These are produces as a result of human activities either domestically or industrially. The global plastic production increased over years due to the vast applications of plastics in many sectors. The continuous demand of plastics caused the plastic wastes accumulation in the landfill consumed a lot of spaces that contributed to the environmental. In addition, economic growth and development also increased our demand and dependency on plastics which leads to its accumulation in landfills imposing risk on human health, animals and cause environmental pollution problems such as ground water contamination, sanitary related issues, etc. The management and disposal of plastic waste have become a major concern, especially in developing cities. The idea of waste to energy recovery is one of the promising techniques used for managing the waste of plastic. Hence, this paper aims review at utilizing of plastic as an alternative fuel. © 2018 The Authors, published by EDP sciences.

关键词： Groundwater

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Transmission of real-time video signal with interference density and human traffic

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Telkomnika (Telecommunication Computing Electronics and Control) 2015年第4期13卷 1352-1360页

作者： Bahaweres, Rizal Broer Karya, Oki Teguh Alaydrus, Mudrik Post-Graduate Program of Electrical Engineering Departement Mercu Buana University Indonesia KompasTV Indonesia Faculty of Science and Technology State Islamic University Syarif Hidayatullah Jakarta Indonesia

The use of mobile phone as a communication tool rapidly increases, as well as various types of functions therein. Among of the many applications on the mobile phone, which are used skype androidbased for teleconferencing via mobile phone. Things can not be separated from these applications is the need of qualified internet network access for these applications can be felt up function. One of the network access to the Internet is widely used today's society is a wi-fi network. Access to the Internet does not always provide the best performance, this is due to many factors, one of which is the presence of interference. In this study, we tested transmission of video signals in real-time using an application skype on the mobile phone. Skype run on wi-fi network, which is influenced by the presence of interference or objects such as human traffic in the network. Wireshark were used to obtain data reliability wi-fi network, known as QoS. While evalvid used to obtain the data QoE restricted only get the data PSNR (Peak Signal To Noise Ratio) and MSE (Mean Square Error). © 2015 Universitas Ahmad Dahlan.

关键词： Wi-Fi

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Carbon dioxide, global boiling, and climate carnage, from generation to assimilation, photocatalytic conversion to renewable fuels, and mechanism

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science of the Total Environment 2025年 965卷 178629页

作者： Khan, Muhammad Sun, Xiaohui Zada, Amir Azizi, Shohreh Shah, Muhammad Ishaq Ali Khan, Javed Ali Ragab, Ahmed H. Taher, Mostafa A. Abbas, Qumber Han, Changseok College of Civil and Transportation Engineering Shenzhen University 3688 Nanhai Avenue Guangdong Province Shenzhen518060 China Department of Chemistry Abdul Wali Khan University Mardan Mardan23200 Pakistan UNESCO-UNISA Africa Chair in Nanosciences and Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge PO Box 392 Pretoria0002 South Africa Chemistry Department Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Biology Department Faculty of Science and Arts King Khalid University Mohail Assir 61321 Saudi Arabia Department of Technologies and Installations for Waste Management Faculty of Energy and Environmental Engineering Silesian University of Technology Gliwice44-100 Poland Program in Environmental and Polymer Engineering of INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of Department of Environmental Engineering INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of

The increasing CO2 concentration in the atmosphere has substantial impacts on the global temperature. For energy sustainability and minimization of the effects of global warming, an approach to understand CO2 capturing and a carbon neutral culture is extremely essential in the present circumstances. The CO2 emission from vehicles and industries can be minimized using energy cost-effective techniques and can be converted more selectively into reusable fuels via thermochemical, electrochemical, photochemical, photocatalytic, electrocatalytic, biological and inorganic carbonate-based approaches. In this review article, we have discussed the effects of increased global temperature on human beings, economy and climate change. Further, we have discussed the photocatalytic conversion of CO2 (PC-CO2) into gaseous and liquid fuels under solar light driven photocatalysis. The adsorption and activation of CO2, its conversion into various intermediates, their stability and selectivity of the final products have been elaborated comprehensively. The conversion mechanisms of CO2 into CO, CH4, alcohol, aldehyde and carboxylic acid have been discussed in detail. The role of defects and exposed facets of photocatalysts, effect of metal and non-metal dopants, and the additive role of co-catalyst on the mechanisms and selectivity of the conversion products have been discussed comprehensively. Finally, future perspective is discussed to highlight the research gap in the PC-CO2. We hope that this article will help to understand the mechanisms of PC-CO2 and will direct researchers to add their role in the reduction of CO2 to control global warming and make life easier on earth in the coming years. © 2025 Elsevier B.V.

关键词： Kyoto Protocol

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Flow through side-combined structure in a channel bend under subcritical flow regime

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ISH Journal of Hydraulic Engineering 2022年第2期28卷 203-211页

作者： Ghodsian, Masoud Feyzollahi, Farshid Ghodsian, Mohammad Faculty of Civil and Environmental Engineering and Water Engineering Research Institute Tarbiat Modares University Tehran Iran Ex. Post Graduate Student Department of Civil and Environmental Engineering Tarbiat Modares University Tehran Iran Ex. Post Graduate Student School of Management Economics and Progress Engineering Iran University of Science and Technology Tehran Iran

In this paper, the effects of the nondimensional parameters influencing the discharge coefficient of a side-combined structure located in a channel bend were studied using 288 experimental data. Experiments were conducted in a rectangular recirculating U-shaped channel (0.6 m width and 0.7 m height) for different discharges and depths of flow in the channel. The effects of approach Froude number Fr, the ratio of the gate height to gate opening d/a, the ratio of the approach flow depth to gate opening h 1/a, and angle of the bend curvature α on the discharge coefficient under subcritical flow conditions are investigated. It was found that the flow diversion by a side-combined structure leads to a reverse flow, two separation zones, and a stagnation zone in the main channel. The specific energy remains constant along with the side-combined structure. It was found that the discharge coefficient is a decreasing function of Fr and d/a. Moreover, the discharge coefficient increases by increasing h 1/a. By changing the location of the side-combined structure along the channel bend, the discharge coefficient reduces from upstream, reach to a minimum value at α= 90ᵒ, and increase further downstream. The discharge coefficient of a side-combined structure is maximums when it is located at section 115° of the bend. New equations for the discharge coefficient of a side-combined structure under subcritical flow conditions were obtained. © 2020 Indian Society for Hydraulics.

关键词： Hydraulics

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