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Effect of Temperature on Gasification of Biomass Using Zeolit 1

Effect of Temperature on Gasification of Biomass Using Zeoli...

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1st International Conference on Industrial Automation, Smart Grid and its Application, ICIASGA 2020

作者： Porawati, H. Kurniawan, A. Yuliwati, E. Study Program of Mechanical Engineering Politeknik Jambi Jambi Indonesia Graduate Program of Chemical Engineering Universitas Muhammadiyah Palembang Indonesia Program Study of Chemical Engineering Faculty of Engineering Universitas Muhammadiyah Palembang Indonesia

Biomass gasification converts into syngas through the gasification process is promising for renewable energy utilization. Although gasification is a sustainable and environmentally-friendly technology for value-added utilization of biomass, yield percentage is the major problem during biomass gasification. An optimized gasifier and highly active catalyst were proved to be effective for biomass production. Furthermore, the decomposition pathway was also important to advance the gasification reactors and catalyst design. This paper summarized the fundamentals, such as gasifier types, zeolite catalysts, and reaction and deactivation mechanisms. This review also sheds light on other excellent catalysts, effective gasifier, and catalyst reaction mechanisms are also discussed in detail. At last, the paper ends with a conclusion and a prospective discussion of the lab-scale research. At the contact time of 240 minutes, with a column height of 30 cm, at a temperature of 450 oC, the concentration of syngas promise well. © Published under licence by IOP Publishing Ltd.

关键词： Gasification

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Mechanical Performance Improvement by Carbon Dioxide Curing of Cement Concrete Incorporating Oil Shale Residue 1st

Mechanical Performance Improvement by Carbon Dioxide Curing ...

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1st International Conference on Emerging Smart Cities, ICESC 2022

作者： Syuhada, Syahidus Al Salaheen, Marsail Alaloul, Wesam Salah Alzubi, Khalid Mhmoud Civil Engineering Study Program Department of Infrastructure Technology and Planning Institut Teknologi Sumatera Sumatera Indonesia Department of Civil and Environmental Engineering Universiti Teknologi PETRONAS Seri Iskandar Malaysia Department of Civil and Environmental Engineering Al-Husun University College Irbid Jordan

ISBN: (纸本)9789819911103

The influence of carbon dioxide (CO2) curing on the compressive strength of oil shale ash (OSA) concrete as partial cement replacement was investigated. 15 cm cubes with a 30% replacement percentage were tested after seven days of conventional curing and carbonation curing at 4 bar CO2 pressure. Research results demonstrate that CO2 curing influences the compressive strength of concrete significantly. There is a linear relationship between CO2 pressure and the duration of curing, as well as the compressive strength of OSA-based concrete. A sample of ordinary Portland cement was used as the control sample. The replacement of 30% cement by OSA increased the 7-day compressive strength from 48.5 to 55.5 MPa for plain cement samples and from 36.5 to 42.3 MPa for ash-based samples. From a technical standpoint, OSA-based concrete carbonation curing is still too immature for widespread application. Nonetheless, it is continuously developing in response to greenhouse gas reduction and paving the path for a more sustainable construction materials business. © 2024, Institute of Technology PETRONAS Sdn Bhd.

关键词： Carbon dioxide

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Procedural Low-Poly Buildings using L-System for Turn-based Tactic Game ***

Procedural Low-Poly Buildings using L-System for Turn-based ...

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International Seminar on Application for Technology of Information and Communication (ISemantic)

作者： Augusta Steven Benedict Umi Rosyidah Ardiawan Bagus Harisa Hanny Haryanto Study Program in Information Engineering Faculty of Computer Science Universitas Dian Nuswantoro Semarang Indonesia

ISBN: (数字)9798350366648

ISBN: (纸本)9798350366655

One of the critical visual components in video game creation is 3D asset prototypes, which also require significant effort. A procedural model using the L-system method for making low-poly buildings can address this issue. This model produces low-poly buildings based on simple parameters input by the user. The model receives input in the form of axioms, which are then processed according to predetermined L-system rules. After the building is formed, it is saved as a prefab in Unity so that it can be reused and modified by the user. The proposed method is implemented to our turn-based tactic *** and provided as a Unity package (add-on). Experimental results show that the buildings generated by the model have a minimalistic yet functional benefits.

关键词： Seminars Visualization Video games Three-dimensional displays Shape Buildings Prototypes Games Rendering (computer graphics) Generators

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Decision Support System in Determining the Achievement of Widyaiswara Value Using WASPAS and TOPSIS Algorithm 1

Decision Support System in Determining the Achievement of Wi...

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1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022

作者： Pratama, Yudhistira Adhitya Iswara, Bagus Ajie Nababan, Adli Abdillah Information System Studies Program Pelita Harapan University Medan Campus Faculty Of Computer Science Medan Indonesia Master's Study Program Informatics Engineering Universitas Sumatera Utara Faculty Of Computer Science And Information Technology Medan Indonesia Digital Business Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (数字)9781665488266

ISBN: (纸本)9781665488266

Widyaiswara is required to show the best performance to fulfill his duties and obligations. Therefore, it is very important to measure the performance of the Widyaiswara, so that it can be used as evaluation material by the BPSDM PROVSU. However, the assessment process that occurs is still not precise and time-consuming. Therefore, to minimize this, a decision support system is needed that can minimize time errors and data processing in decision-making so that the assessment runs well and accurately. This system was built by applying the WASPAS method and the TOPSIS method. Based on the results of tests carried out five times, the results of the WASPAS method processing time resulted in an average processing time of 0.00029791 ms and an average memory usage value of 2.836.44 kb, while the results of the TOPSIS method processing time test resulted in an average processing time - an average of 0.000296428 ms and an average memory usage value of 2.862.34 kb. © 2022 IEEE.

关键词： Decision support systems

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Homogenization of Green SiO2from Rice Husk Burn through Potassium Hydroxide Solid-Liquid Extraction 3

Homogenization of Green SiO2from Rice Husk Burn through Pota...

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3rd International Conference on Emerging electrical Energy, Electronics and Computing Technologies 2021, ICE4CT 2021

作者： Anggraini, Lydia Hendriawan, Rivaldo Agung Anggraina, Putri Laila Hakiki, Rijal Study Program of Mechanical Engineering President University Jl. Ki Hajar Dewantara Jababeka Education Park Cikarang Bekasi17550 Indonesia Study Program of Environmental Engineering President University Jl. Ki Hajar Dewantara Jababeka Education Park Cikarang Bekasi17550 Indonesia

In the agricultural countries, rice husk is an abundant waste, especially as one of the largest sources of silica (SiO2) production that can be produced. By complete combustion, to about 87% - 97% SiO2 content can be produced from rice husks. Alkaline solution is used as a solvent in the solid-liquid extraction process of rice husk ash. The mass of 10 grams of rice husk ash was weighed for the extraction process added with 80 ml of potassium hydroxide (KOH) solution with 10%, 15% and 20% various concentration for 60 minutes to extract the SiO2 content. The solution was added with 1 N hydrochloric acid (HCl) solution to precipitate the SiO2, after the extraction process was complete. The SiO2 formed is then separated from the rest of the solution by filtration. Next step is the drying process which aims to remove the moisture content of the resulting SiO2. In a systematic study, for 60 minutes the rice husks were soaked and washed using HCl and then heated in a muffle furnace. The results of this study showed that all samples are succeeded in homogenizing SiO2 with a purity close to 90%. Furthermore, through X-Ray Fluorescence (XRF) analysis was proven these results obtained through solid-liquid extraction of KOH from rice husks. Green SiO2, known as biosilica, is useful and has potential in reinforcing compounds, including applications as filler in tires and natural rubber compounds. © Published under licence by IOP Publishing Ltd.

关键词： Silica

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Automated Test on Multiple Platform Framework Development 22

Automated Test on Multiple Platform Framework Development

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Proceedings of the 7th International Conference on Sustainable Information engineering and Technology

作者： Muhammad Fadhli Ubaidilah Desy Intan Permatasari Fadilah Fahrul Hardiansyah Informatics Engineering Study Program Politeknik Elektronika Negeri Surabaya Indonesia

ISBN: (纸本)9781450397117

Software testing is a phase in software development to ensure software quality. As more and more software is developed for web and mobile platforms, Software Quality Assurance (SQA) Engineer is responsible to test software on both platforms to ensure functionality on each platform. While automated test can be implemented to reduce the workload of SQA Engineer, it has its setbacks as automated test needs a huge effort to maintain it and available tools to develop automated test currently only support one platform. In this research, an automated test framework is proposed and developed that can test both web and mobile platforms. Compared to an automated test project that uses separate tools, a project that uses the proposed framework has 2.57% higher maintainability index. A user test to 3 SQA Engineers has also been conducted and the proposed framework has generally been given high maintainability rating.

关键词： software testing selenium multi-platform automated test appium

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Image Enhancement using CLAHE and Noise Removal for Shoreline Detection Framework

Image Enhancement using CLAHE and Noise Removal for Shorelin...

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International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS)

作者： I Gusti Ngurah Agung Pawana I Made Oka Widyantara Made Sudarma Linawati Nmaed Wirastuti Science in Engineering Study Program Udayana University Denpasar Bali Indonesia

Coastal regions play a pivotal role in various aspects of human activity, including environmental conservation, disaster response, and navigation. Effective shoreline detection in remote sensing imagery is crucial for these applications, but the accuracy of shoreline detection is closely tied to the quality of the input imagery. Remote sensing images often suffer from issues related to contrast and noise, which can obscure critical shoreline features. This study presents a novel framework for shoreline detection, combining Contrast Limited Adaptive Histogram Equalization (CLAHE) and advanced noise removal techniques to address these issues. CLAHE is employed to enhance local contrast and improve visibility, while noise reduction techniques mitigate the impact of inherent noise in remote sensing data. Key objectives of this research include evaluating the impact of CLAHE on image contrast and shoreline visibility, assessing the effectiveness of noise removal techniques in enhancing image quality, and investigating the combined effect of CLAHE and noise removal on shoreline detection accuracy. The experimental results demonstrate the framework's potential for improving shoreline detection accuracy, with notable enhancements in contrast and visibility. By optimizing image quality, this framework contributes to the field of coastal management, environmental monitoring, and disaster response, offering a valuable tool for the accurate delineation of shorelines in remote sensing imagery.

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Design Technology of Geographical Information System of Rice Pandanwangi Cianjur Prediction Factors Products 1

Design Technology of Geographical Information System of Rice...

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1st Paris Van Java International Seminar on Computer, Science, engineering, and Technology, PVJ ISComSET 2020

作者： Musrifah, Ai Adikusuma, Andri Sutono Informatics Engineering Study Program Faculty of Engineering University of Suryakancana Indonesia

Cianjur is one of the renowned rice producers, particularly with the presence of Pandanwangi rice that can be grown in the Cianjur area. Pandanwangi has become one of Cianjur City's icons, the rice supremacy created by Pandanwangi Cianjur's tenacity and distinctive scent (pandanus fragrance). The Interest of pandanwangi was very high, both within the town of Cianjur and outside the town of Cianjur, but this was inversely proportional to the desires of the groups of farmers who appeared to prefer to plant rice other than Pandanwangi, on the grounds that the planting of Pandanwangi had a long harvest and that the likelihood of crop failure was also very high. Problems with information flows that are not well integrated between farmers' groups, farmers' group organizations, and the Agriculture Department in adjusting land details, planting time, planting location, estimating total harvest and harvesting time. To solve this problem, a framework must be built that can integrate the information needed for Pandanwangi Cianjur Harvest Prediction with Pandanwangi farmers' regional analysis based on geographic information system technology, using Google Maps Service. © Published under licence by IOP Publishing Ltd.

关键词： Harvesting

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The Darknet Framework YOLOV7 is Used for Pineapple Fruit Ripeness Classification

The Darknet Framework YOLOV7 is Used for Pineapple Fruit Rip...

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Advanced engineering and Technologies (ICONNIC), International Conference on

作者： Nurliana Nasution Feldiansyah Bin Bakri Nasution Mariza Devega Mhd Arief Hasan Informatic Engineering Study Program Universitas Lancang Kuning Pekanbaru Indonesia

In this study, we developed and implemented an object detection method to distinguish between ripe and unripe pineapples. We used a pre-trained object detection model using YOLOv7 and BlendMask techniques and finetuned it on the MS COCO instance segmentation dataset for 30 epochs. Through the preprocessing process, we resized the images to the specified target size and normalized the pixel intensities. We also created bounding boxes to mark objects in the images based on computed coordinates using object scores and attributes. During the prediction stage on two sample images, we accurately predicted that one image contained a ripe pineapple with a confidence level of 56%, while the other image contained an unripe pineapple with a confidence level of 77%. These results demonstrate that our developed object detection method is effective in differentiating the ripeness of pineapples. This research contributes to the development of fruit classification applications based on ripeness levels. The implemented object detection method can serve as a foundation for the development of more advanced systems in automatically identifying and segregating ripe and unripe fruits. As a result, this study has the potential to enhance efficiency and accuracy in the agricultural and fruit processing industries.

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Fuzzy C-means Cluster Pattern Analysis and Ward Model Mapping in Viewing the Growth of Infectious and Non-Infectious Diseases Children in North Aceh

Fuzzy C-means Cluster Pattern Analysis and Ward Model Mappin...

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Artificial Intelligence and Image Processing (IWAIIP), International Workshop on

作者： Mauliza Mauliza Mutammimul Ula Ilham Sahputra Rosya Afdelina Medical Education Study Program Faculty of Medicine Universitas Malikussaleh Lhokseumawe Indonesia Information Systems Study Program Faculty of Engineering Universitas Malikussaleh Lhokseumawe Indonesia

The problems and challenges for the government in seeing disease growth trend patterns are very important. This research focuses on infectious diseases, namely Dengue Hemorrhagic Fever (DHF), while non-communicable illnesses focus on epilepsy and thalassemia in 2023-2024. The priority in this research is that the Health Service can take action to prevent disease distribution patterns that are seen based on the results of identifying patterns and trends using the fuzzy c-means model and mapping for each region. The research methodology includes collecting patient data, inputted by recorded medical data consisting of sub-district data and the number of incidents. The research results of the Fuzzy C-means model in analyzing infectious disease trend patterns show 3 clusters. The first cluster of vulnerable areas has four sub-districts: Sawang, Syamtalira Bayu, Dewantara and Muara Batu. Then, the second cluster still consists of 18 sub-districts. Finally, the safe cluster consists of 8 sub-districts. Meanwhile, the results of the ward model research showed that there were 2 clusters, namely vulnerable consisting of 19 sub-districts and safe eight sub-districts, which were then included in the spatial map. Meanwhile, analysis of non-communicable disease patterns using fuzzy c-means, namely thalassemia and epilepsy in cluster C1 (High) in 4 and 7 sub-districts, medium cluster in 9 and 7, and low cluster in 14 and 16 sub-districts. Therefore, this research can provide an important picture for the Health Service in analyzing trends in cluster patterns of growth of infectious and non-communicable diseases in children.

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