Pub Date : 2021-12-31DOI: 10.21924/cst.6.2.2021.604
S. K. Saptomo, Rudiyanto, M. Askari, C. Arif, W. Suwarno, Adlan, Rusianto, B. Setiawan, K. Tamura, H. Matsuda
Sheet pipe is a type of perforated pipe used for drainage designed initially for drainage but has the potential for sub-surface irrigation. The objectives of this study were to experiment and observe the performance of the sub-surface irrigation control system with sheet pipe. This investigation covered the observation of water table control and its effect on soil moisture. The detailed process of water flow during the setting of the water table was numerically modeled in 2 dimensions to observe the distribution of soil moisture, soil pressure, and flux. The results showed that the system successfully controlled the water table at the desired level in the experiment. The developed two-dimensional numerical simulation showed the distribution of soil moisture in the model center as a response to the water table increase, represented by the variable head. The soil wetting advances toward soil surface driven by the water table, which was increased gradually and reached saturation at the height of water table setpoint.
{"title":"Experimental and numerical investigation of laboratory scale sheetpipe-typed automatic subsurface irrigation","authors":"S. K. Saptomo, Rudiyanto, M. Askari, C. Arif, W. Suwarno, Adlan, Rusianto, B. Setiawan, K. Tamura, H. Matsuda","doi":"10.21924/cst.6.2.2021.604","DOIUrl":"https://doi.org/10.21924/cst.6.2.2021.604","url":null,"abstract":"Sheet pipe is a type of perforated pipe used for drainage designed initially for drainage but has the potential for sub-surface irrigation. The objectives of this study were to experiment and observe the performance of the sub-surface irrigation control system with sheet pipe. This investigation covered the observation of water table control and its effect on soil moisture. The detailed process of water flow during the setting of the water table was numerically modeled in 2 dimensions to observe the distribution of soil moisture, soil pressure, and flux. The results showed that the system successfully controlled the water table at the desired level in the experiment. The developed two-dimensional numerical simulation showed the distribution of soil moisture in the model center as a response to the water table increase, represented by the variable head. The soil wetting advances toward soil surface driven by the water table, which was increased gradually and reached saturation at the height of water table setpoint.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46870934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-31DOI: 10.21924/cst.6.2.2021.484
Ari Sulistyo Rini, Averin Nabilla, Y. Rati
This study aims to investigate the physical characteristics and photocatalyst activity of biosynthesized ZnO with pineapple (Ananas comosus) peel extract under microwave irradiation. The ZnO powder was prepared in two different concentrations of zinc nitrate hexahydrate (ZNH) at 200mM (Z-200) and 500 mM (Z-500). The optical, structural, and morphological properties of ZnO were analyzed using UV-Vis spectroscopy, X-Ray Diffraction (XRD), and Scanning Electron Microscopy (SEM), respectively. The UV-Vis absorption spectrum showed a wide absorbance peak of ZnO at the wavelength of 300-360 nm with a bandgap energy of 3.22 and 3.25 eV. The XRD result confirmed the wurtzite structure of ZnO with high crystallinity. SEM morphology showed spherical particles with an average particle size of 190-220 nm. For photocatalytic application, ZnO film was fabricated via the doctor blade method from microwave-assisted biosynthesized ZnO powder. ZnO films were then applied under UV-irradiation to examine the photocatalytic degradation of methylene blue. It was found that the catalytic behavior of ZnO film was affected by the starting ZNH concentration with maximum effectiveness of 46% degradation after 2 h.
{"title":"Microwave-assisted biosynthesis and characterization of ZnO film for photocatalytic application in methylene blue degradation","authors":"Ari Sulistyo Rini, Averin Nabilla, Y. Rati","doi":"10.21924/cst.6.2.2021.484","DOIUrl":"https://doi.org/10.21924/cst.6.2.2021.484","url":null,"abstract":"This study aims to investigate the physical characteristics and photocatalyst activity of biosynthesized ZnO with pineapple (Ananas comosus) peel extract under microwave irradiation. The ZnO powder was prepared in two different concentrations of zinc nitrate hexahydrate (ZNH) at 200mM (Z-200) and 500 mM (Z-500). The optical, structural, and morphological properties of ZnO were analyzed using UV-Vis spectroscopy, X-Ray Diffraction (XRD), and Scanning Electron Microscopy (SEM), respectively. The UV-Vis absorption spectrum showed a wide absorbance peak of ZnO at the wavelength of 300-360 nm with a bandgap energy of 3.22 and 3.25 eV. The XRD result confirmed the wurtzite structure of ZnO with high crystallinity. SEM morphology showed spherical particles with an average particle size of 190-220 nm. For photocatalytic application, ZnO film was fabricated via the doctor blade method from microwave-assisted biosynthesized ZnO powder. ZnO films were then applied under UV-irradiation to examine the photocatalytic degradation of methylene blue. It was found that the catalytic behavior of ZnO film was affected by the starting ZNH concentration with maximum effectiveness of 46% degradation after 2 h.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47533600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-31DOI: 10.21924/cst.6.2.2021.551
A. O. Adeyemi, E. Akarawak, I. Adeleke
Many existing distributions in literatures does not have the modeling fits capacity to adequately describe the real-life phenomena. The Exponential Pareto (EP) distribution has further gained some generalizations among several authors using different generator techniques with an aim to obtain a new distribution with greater flexibility. This article proposes Gompertz Exponential Pareto (GEP) distribution using the Gompertz generator. Findings from the study revealed some lifetime distributions as special cases and mathematical properties of the distribution investigated including the mean, variance, coefficient of variation, quantile, moment, moment generating function and, order statistics. The distribution can be positively or negatively skewed. It is unimodal with failure rates whose shapes could be reversed J bathtub, constant, decreasing and, increasing and the parameters were estimated using maximum likelihood estimation approach. Applications to two real-life datasets revealed the ability of GEP distribution to provide more flexibilities and better fit to the dataset compared to some previously proposed distributions for the data. The results also revealed that GEP had the superior performance over other generalizations of EP distribution existing in literatures and the performance has further strengthened the usefulness of the Gompertz-generator technique.
{"title":"The gompertz exponential pareto distribution with the properties and applications to bladder cancer and hydrological datasets","authors":"A. O. Adeyemi, E. Akarawak, I. Adeleke","doi":"10.21924/cst.6.2.2021.551","DOIUrl":"https://doi.org/10.21924/cst.6.2.2021.551","url":null,"abstract":"Many existing distributions in literatures does not have the modeling fits capacity to adequately describe the real-life phenomena. The Exponential Pareto (EP) distribution has further gained some generalizations among several authors using different generator techniques with an aim to obtain a new distribution with greater flexibility. This article proposes Gompertz Exponential Pareto (GEP) distribution using the Gompertz generator. Findings from the study revealed some lifetime distributions as special cases and mathematical properties of the distribution investigated including the mean, variance, coefficient of variation, quantile, moment, moment generating function and, order statistics. The distribution can be positively or negatively skewed. It is unimodal with failure rates whose shapes could be reversed J bathtub, constant, decreasing and, increasing and the parameters were estimated using maximum likelihood estimation approach. Applications to two real-life datasets revealed the ability of GEP distribution to provide more flexibilities and better fit to the dataset compared to some previously proposed distributions for the data. The results also revealed that GEP had the superior performance over other generalizations of EP distribution existing in literatures and the performance has further strengthened the usefulness of the Gompertz-generator technique.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47386541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-31DOI: 10.21924/cst.6.2.2021.547
P. M. S. B. Siregar, Normah, N. Juleanti, A. Wijaya, N. Palapa, R. Mohadi, A. Lesbani
In this study, chitosan was extracted from shrimp shells by demineralization and deproteination processes. The extracted chitosan was used to modify the layered double hydroxide and used as an adsorbent for the removal of congo red from aqueous solutions. Composites were successfully synthesized using M2+/Al (M2+ = Zn, Mg, Ni) and chitosan (CH) and the samples obtained were characterized using XRD and FTIR. The X-ray diffraction (XRD) pattern appeared at the layered double hydroxide peak of 2? = 11.63°; 23.00°; 35.16°; and 61.59° and chitosan at 2? = 7.93° and 19.35. The composite appearing in the layered double hydroxide and chitosan indicated that the composite material has been successfully synthesized. The XRD diffraction patterns of Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH showed low crystallinity. The Fourier Transform Infrared (FTIR) spectra verifying absorption spectrum showed the presence of two bands at 3448 cm-1, 1382cm-1 characteristic to both chitosan and LDH. Adsorption of Congo Red (CR) followed the pseudo-second-order and Langmuir isotherm models. The adsorption capacities of Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH were 181.818 mg/g, 227.273 mg/g, and 344.828 mg/g, respectively. The layered double hydroxide-chitosan composite adsorption was endothermically characterized by positive enthalpy and entropy values. On the other hand, the adsorption spontaneously was characterized by a negative Gibbs free energy value. The composites in this study were formed from LDH modified from chitosan extracted from shrimp shells to form Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH. The results of the characterization showed a number of characteristics that resembled the constituent materials in the form of LDH and chitosan. After being applied as an adsorbent to absorb Congo red dye, it then showed the most effective results using Mg/Al-CH adsorbent with an adsorption capacity of 344.828 mg/g.
{"title":"Mg/Al-CH, Ni/Al-CH and Zn/Al-CH, as adsorbents for Congo Red removal in aqueous solution","authors":"P. M. S. B. Siregar, Normah, N. Juleanti, A. Wijaya, N. Palapa, R. Mohadi, A. Lesbani","doi":"10.21924/cst.6.2.2021.547","DOIUrl":"https://doi.org/10.21924/cst.6.2.2021.547","url":null,"abstract":"In this study, chitosan was extracted from shrimp shells by demineralization and deproteination processes. The extracted chitosan was used to modify the layered double hydroxide and used as an adsorbent for the removal of congo red from aqueous solutions. Composites were successfully synthesized using M2+/Al (M2+ = Zn, Mg, Ni) and chitosan (CH) and the samples obtained were characterized using XRD and FTIR. The X-ray diffraction (XRD) pattern appeared at the layered double hydroxide peak of 2? = 11.63°; 23.00°; 35.16°; and 61.59° and chitosan at 2? = 7.93° and 19.35. The composite appearing in the layered double hydroxide and chitosan indicated that the composite material has been successfully synthesized. The XRD diffraction patterns of Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH showed low crystallinity. The Fourier Transform Infrared (FTIR) spectra verifying absorption spectrum showed the presence of two bands at 3448 cm-1, 1382cm-1 characteristic to both chitosan and LDH. Adsorption of Congo Red (CR) followed the pseudo-second-order and Langmuir isotherm models. The adsorption capacities of Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH were 181.818 mg/g, 227.273 mg/g, and 344.828 mg/g, respectively. The layered double hydroxide-chitosan composite adsorption was endothermically characterized by positive enthalpy and entropy values. On the other hand, the adsorption spontaneously was characterized by a negative Gibbs free energy value. The composites in this study were formed from LDH modified from chitosan extracted from shrimp shells to form Zn/Al-CH, Ni/Al-CH, and Mg/Al-CH. The results of the characterization showed a number of characteristics that resembled the constituent materials in the form of LDH and chitosan. After being applied as an adsorbent to absorb Congo red dye, it then showed the most effective results using Mg/Al-CH adsorbent with an adsorption capacity of 344.828 mg/g.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45780704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-27DOI: 10.21924/cst.6.1.2021.332
Yahya Dwikarsa, A. Basith
The scale value is an important part of the segmentation stage which is part of Object-Based Image Analysis (OBIA). Selection of scale value can determine the size of the object which affects the results of classification accuracy. In addition to setting the scale value (multiscale), selection of machine learning algorithm applied to classify shallow water benthic habitat objects can also determine the success of the classification. Combination of setting scale values and classification algorithms are aimed to get optimal results by examining classification accuracies. This study uses orthophoto images processed from Unmanned Aerial Vehicle (UAV) mission intended to capture benthic habitat in Karimunjawa waters. The classification algorithms used are Support Vector Machine (SVM), Bayes, and K-Nearest Neighbors (KNN). The results of the classification of combination are then tested for accuracy based on the sample and Training Test Area (TTA) masks. The result shows that SVM algorithm with scale of 300 produces the best level of accuracy. While the lowest accuracy is achieved by using SVM algorithm with scale of 100. The result shows that the optimal scale settings in segmenting objects sequentially are 300, 200, and 100
{"title":"Benthic habitat classification using multiscale GEOBIA on orthophoto images of Karimunjawa waters","authors":"Yahya Dwikarsa, A. Basith","doi":"10.21924/cst.6.1.2021.332","DOIUrl":"https://doi.org/10.21924/cst.6.1.2021.332","url":null,"abstract":"The scale value is an important part of the segmentation stage which is part of Object-Based Image Analysis (OBIA). Selection of scale value can determine the size of the object which affects the results of classification accuracy. In addition to setting the scale value (multiscale), selection of machine learning algorithm applied to classify shallow water benthic habitat objects can also determine the success of the classification. Combination of setting scale values and classification algorithms are aimed to get optimal results by examining classification accuracies. This study uses orthophoto images processed from Unmanned Aerial Vehicle (UAV) mission intended to capture benthic habitat in Karimunjawa waters. The classification algorithms used are Support Vector Machine (SVM), Bayes, and K-Nearest Neighbors (KNN). The results of the classification of combination are then tested for accuracy based on the sample and Training Test Area (TTA) masks. The result shows that SVM algorithm with scale of 300 produces the best level of accuracy. While the lowest accuracy is achieved by using SVM algorithm with scale of 100. The result shows that the optimal scale settings in segmenting objects sequentially are 300, 200, and 100","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43104967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-26DOI: 10.21924/cst.5.2.2020.184
Yusuf Kurniawan, M. A. Rizqulloh
Block ciphers are used to protect data in information systems from being leaked to unauthorized people. One of many block cipher algorithms developed by Indonesian researchers is the BCF (Block Cipher-Four) - a block cipher with 128-bit input/output that can accept 128-bit, 192-bit, or 256-bit keys. The BCF algorithm can be used in embedded systems that require fast BCF implementation. In this study, the design and implementation of the BCF engine were carried out on the FPGA DE2. It is the first research on BCF implementation in FPGA. The operations of the BCF machine were controlled by Nios II as the host processor. Our experiments showed that the BCF engine could compute 2,847 times faster than a BFC implementation using only Nios II / e. Our contribution presents the description of new block cipher BCF and the first implementation of it on FPGA using an efficient method.
分组密码用于保护信息系统中的数据不被泄露给未经授权的人。印度尼西亚研究人员开发的许多分组密码算法之一是BCF (block cipher - four)——一种具有128位输入/输出的分组密码，可以接受128位、192位或256位密钥。该算法可用于需要快速实现BCF的嵌入式系统。本研究在FPGA DE2上进行了BCF引擎的设计与实现。本文首次研究了BCF在FPGA中的实现。BCF机的运行由Nios II作为主处理器控制。我们的实验表明，BCF引擎的计算速度比仅使用Nios II / e的BFC实现快2,847倍。我们的贡献介绍了新的分组密码BCF的描述，并使用一种有效的方法在FPGA上首次实现。
{"title":"Block cipher four implementation on field programmable gate array","authors":"Yusuf Kurniawan, M. A. Rizqulloh","doi":"10.21924/cst.5.2.2020.184","DOIUrl":"https://doi.org/10.21924/cst.5.2.2020.184","url":null,"abstract":"Block ciphers are used to protect data in information systems from being leaked to unauthorized people. One of many block cipher algorithms developed by Indonesian researchers is the BCF (Block Cipher-Four) - a block cipher with 128-bit input/output that can accept 128-bit, 192-bit, or 256-bit keys. The BCF algorithm can be used in embedded systems that require fast BCF implementation. In this study, the design and implementation of the BCF engine were carried out on the FPGA DE2. It is the first research on BCF implementation in FPGA. The operations of the BCF machine were controlled by Nios II as the host processor. Our experiments showed that the BCF engine could compute 2,847 times faster than a BFC implementation using only Nios II / e. Our contribution presents the description of new block cipher BCF and the first implementation of it on FPGA using an efficient method.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46889865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-26DOI: 10.21924/cst.5.2.2020.203
R. D. Manningtyas, K. Furuya
Studies on green open space and ecological wisdom have developed over time and are linked to various subjects and impacts. However, both research subjects have developed somewhat independently despite their approaches often achieving a sustainable landscape. This paper proposed a bibliometric analysis of green open space and ecological wisdom research to identify the trends and hot topics on both aspects, then determine a potential topic for future research relating to both subject areas. We collected English research papers from the last decades from the Scopus database using appropriate keywords and analyzed the metadata using VOSviewer program. Then, the text data were extracted from the title and abstract of the document collections using VOSviewer built-in text mining function. The hot topic term was analyzed by calculating the score of the average citation based on their occurrences. Finally, potential research in green open space and ecological wisdom field was determined by overlaying the findings and catching the slice. A total of 283 document collections were analyzed and 75 most relevant terms were found. All the terms were divided into four clusters as a research field: urban green space cluster, environmental quality cluster, sustainable planning cluster, and landscape development cluster. Further, the hot topic analysis found ten keywords that had a high citation impact in document collection and mostly came from a sustainable planning cluster. After overlaying the findings, six terms emerged that have a high potential for future research because of their high citation impact for science.
{"title":"Trends and hot topics in green open space and ecological wisdom research","authors":"R. D. Manningtyas, K. Furuya","doi":"10.21924/cst.5.2.2020.203","DOIUrl":"https://doi.org/10.21924/cst.5.2.2020.203","url":null,"abstract":"Studies on green open space and ecological wisdom have developed over time and are linked to various subjects and impacts. However, both research subjects have developed somewhat independently despite their approaches often achieving a sustainable landscape. This paper proposed a bibliometric analysis of green open space and ecological wisdom research to identify the trends and hot topics on both aspects, then determine a potential topic for future research relating to both subject areas. We collected English research papers from the last decades from the Scopus database using appropriate keywords and analyzed the metadata using VOSviewer program. Then, the text data were extracted from the title and abstract of the document collections using VOSviewer built-in text mining function. The hot topic term was analyzed by calculating the score of the average citation based on their occurrences. Finally, potential research in green open space and ecological wisdom field was determined by overlaying the findings and catching the slice. A total of 283 document collections were analyzed and 75 most relevant terms were found. All the terms were divided into four clusters as a research field: urban green space cluster, environmental quality cluster, sustainable planning cluster, and landscape development cluster. Further, the hot topic analysis found ten keywords that had a high citation impact in document collection and mostly came from a sustainable planning cluster. After overlaying the findings, six terms emerged that have a high potential for future research because of their high citation impact for science.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47427134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-26DOI: 10.21924/cst.5.2.2020.186
I. P. Nanda, H. Ghandvar, M. H. Idris, Auliya Hanif, Andril Arafat
Recently, Al-Mg2Si in-situ composites have achieved considerable attention due to their excellent physical and mechanical properties. In fact, there are some limitations of knowledge regarding the machinability characteristics of these composites - particularly when being inoculated with rare earth additions. This study in turn aimed to investigate the influence of machining parameters as well as Gd addition on the machinability of Al-15%Mg2Si composite. To examine the effect of modifier (1.0 wt. % Gd) and machining parameters (feed rate, cutting speed), microstructural evolution, surface roughness (Ra) and cutting force (Fc) were evaluated during dry turning. The results revealed that Gd addition as modifier element led to better surface roughness and higher cutting force owning to the modification of Mg2Si particle structure as well as the formation of Gd intermetallic compounds.
{"title":"Role of Gd addition on machinability of Al-15%Mg2Si in-situ composite during dry turning","authors":"I. P. Nanda, H. Ghandvar, M. H. Idris, Auliya Hanif, Andril Arafat","doi":"10.21924/cst.5.2.2020.186","DOIUrl":"https://doi.org/10.21924/cst.5.2.2020.186","url":null,"abstract":"Recently, Al-Mg2Si in-situ composites have achieved considerable attention due to their excellent physical and mechanical properties. In fact, there are some limitations of knowledge regarding the machinability characteristics of these composites - particularly when being inoculated with rare earth additions. This study in turn aimed to investigate the influence of machining parameters as well as Gd addition on the machinability of Al-15%Mg2Si composite. To examine the effect of modifier (1.0 wt. % Gd) and machining parameters (feed rate, cutting speed), microstructural evolution, surface roughness (Ra) and cutting force (Fc) were evaluated during dry turning. The results revealed that Gd addition as modifier element led to better surface roughness and higher cutting force owning to the modification of Mg2Si particle structure as well as the formation of Gd intermetallic compounds.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48176130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-26DOI: 10.21924/cst.5.2.2020.216
A. Wijaya, T. B. Adji, N. A. Setiawan
The multi-class motor imagery based on Electroencephalogram (EEG) signals in Brain-Computer Interface (BCI) systems still face challenges, such as inconsistent accuracy and low classification performance due to inter-subject dependent. Therefore, this study aims to improve multi-class EEG-motor imagery using two-stage detection and voting scheme on one-versus-one approach. The EEG signal used to carry out this research was extracted through a statistical measure of narrow window sliding. Furthermore, inter and cross-subject schemes were investigated on BCI competition IV-Dataset 2a to evaluate the effectiveness of the proposed method. The experimental results showed that the proposed method produced enhanced inter and cross-subject kappa coefficient values of 0.78 and 0.68, respectively, with a low standard deviation of 0.1 for both schemes. These results further indicated that the proposed method has an ability to address inter-subject dependent for promising and reliable BCI systems.
{"title":"Improving multi-class EEG-motor imagery classification using two-stage detection on one-versus-one approach","authors":"A. Wijaya, T. B. Adji, N. A. Setiawan","doi":"10.21924/cst.5.2.2020.216","DOIUrl":"https://doi.org/10.21924/cst.5.2.2020.216","url":null,"abstract":"The multi-class motor imagery based on Electroencephalogram (EEG) signals in Brain-Computer Interface (BCI) systems still face challenges, such as inconsistent accuracy and low classification performance due to inter-subject dependent. Therefore, this study aims to improve multi-class EEG-motor imagery using two-stage detection and voting scheme on one-versus-one approach. The EEG signal used to carry out this research was extracted through a statistical measure of narrow window sliding. Furthermore, inter and cross-subject schemes were investigated on BCI competition IV-Dataset 2a to evaluate the effectiveness of the proposed method. The experimental results showed that the proposed method produced enhanced inter and cross-subject kappa coefficient values of 0.78 and 0.68, respectively, with a low standard deviation of 0.1 for both schemes. These results further indicated that the proposed method has an ability to address inter-subject dependent for promising and reliable BCI systems.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45678697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-30DOI: 10.21924/cst.4.2.2019.119
D. K. Baroroh, Mya Amalia, N. Lestari
Electric vehicles are considered one of the solutions that can reduce vehicle emissions into the environment. However, the enthusiasts' number of the electric motorcycle is still relatively really low. In order to escalate product and competitive value in the market, the design elements of the electric motorcycle have to develop. The aim of this research is to design electric motorcycle that appropriate with user needs and desires by utilizing Kansei Engineering. This study involved 212 respondents for the Semantic Differential I and 204 respondents for the Semantic Differential II. The results of this study were 14 pairs of kansei words which were used to evaluate 11 sample designs where there were 5 items and 14 design categories. The design specifications of the most dominant electric motorcycle were angled seat, type 1 of front hood, 2 slots for luggage box, type 3 of headlight, and type 2 of body hood.
{"title":"Kansei engineering approach for developing electric motorcycle","authors":"D. K. Baroroh, Mya Amalia, N. Lestari","doi":"10.21924/cst.4.2.2019.119","DOIUrl":"https://doi.org/10.21924/cst.4.2.2019.119","url":null,"abstract":"Electric vehicles are considered one of the solutions that can reduce vehicle emissions into the environment. However, the enthusiasts' number of the electric motorcycle is still relatively really low. In order to escalate product and competitive value in the market, the design elements of the electric motorcycle have to develop. The aim of this research is to design electric motorcycle that appropriate with user needs and desires by utilizing Kansei Engineering. This study involved 212 respondents for the Semantic Differential I and 204 respondents for the Semantic Differential II. The results of this study were 14 pairs of kansei words which were used to evaluate 11 sample designs where there were 5 items and 14 design categories. The design specifications of the most dominant electric motorcycle were angled seat, type 1 of front hood, 2 slots for luggage box, type 3 of headlight, and type 2 of body hood.","PeriodicalId":36437,"journal":{"name":"Communications in Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41322826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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