Petchporn Chawakitchareon - Academia.edu (original) (raw)

Papers by Petchporn Chawakitchareon

Elsevier eBooks, 1999

ABSTRACT

Process Metallurgy, 1999

ABSTRACT

DOAJ (DOAJ: Directory of Open Access Journals), Feb 1, 2019

European Journal of Combinatorics, Dec 13, 2019

European Journal of Combinatorics, 2018

Journal of imaging technology, 2017

European Journal of Combinatorics, 2016

European Journal of Combinatorics, 2016

Engineering Journal, Aug 1, 2016

This research studies the utilization of alumina waste and silica waste for geopolymer production... more This research studies the utilization of alumina waste and silica waste for geopolymer production. Alumina waste was obtained from aluminium thermal metallurgy industry, silica waste was obtained from silicone recycle industry in Thailand. This present study aimed at investigating the basic physical and chemical properties of waste materials and also the optimal proportion in geopolymer production. The results revealed that alumina waste contained 48 percent of aluminium oxide, 4.18 percent of Silicon dioxide and average particle size is 36 micrometers. Silica waste contained 71.3 percent of Silicon dioxide and average particle size is 49 micrometers. The leaching tests of heavy metals also indicated that the level of all heavy metals concentration were over the standard set by the Ministry of Industry, Thailand which means both alumina and silica waste were considering as hazardous waste. In geopolymer production, the mortar was cast in 5x5x5 centimeters cubic shape for both methods with cured temperature at 60 degree celsius. Compressive strength was tested at 1, 7, 14 and 28 days. The results revealed that the best SiO2:Al2O3 ratio must be 3:1 mixed by alumina waste 46 g. and silica waste 24 g. with 10 ml of sodium hydroxide and 20 ml of sodium silicate. This proportion gain the highest compressive strength for 262.8 kg/cm2 at 28 days of curing which over the standard for hollow load-bearing concrete masonry units (TIS57-2530) and costs 4.03 THB/mortar. The leaching tests were estimated again after the production of geopolymer. The results indicated that the concentration of all heavy metals was within the standard set by the Ministry of Industry, Thailand. Therefore the production of geopolymer mortar from alumina waste and silica waste were not considering as hazardous waste.

Engineering Journal, Aug 1, 2016

This research aims to study the physical-chemical characteristics and carbon dioxide adsorption u... more This research aims to study the physical-chemical characteristics and carbon dioxide adsorption using commercial activated carbon (GAC) by comparing with commercial activated carbon. Chemical vapor deposition (CVD) of carbon molecular sieve prepared from activated carbon (CMSGAC) was prepared using acetylene at various conditions, such as temperature, time and acetylene flow rate. The results indicated that CMSGAC had high adsorption capacity and high selectivity for the adsorption ratio between carbon dioxide and methane. The experiments were carried out by using the samples of GAC, CMSGAC, and commercial carbon molecular sieve (CMSCOM) for adsorption of mixed gas of 30% CO2, 20% N2, and 50% CH4, respectively. The results showed that the adsorption efficiency at 50% of inlet carbon dioxide concentration of GAC, CMSGAC, and CMSCOM was at 85, 114, and 140 min, respectively. The purity of methane was 81.53, 93.16, and 98.26%, respectively. The selectivity for the adsorption ratio between carbon dioxide and methane was 1.32, 16.52, and 24.89, respectively. The cycle time of the samples was 3, 7, and 8 cycles, respectively. Finally, the maximum adsorption capacity of the samples was 1.74, 3.26, and 4.06 mole CO2/kg absorbent, respectively.

International journal of geoinformatics, Sep 1, 2020

Nitrogen (N) is one of the main factors to increasing corn yield. Past research showed that N fer... more Nitrogen (N) is one of the main factors to increasing corn yield. Past research showed that N fertilizer application rates were strongly related to corn yield. The objective of this study was to estimate N fertilizer recommendations with EONR for waxy corn (Zea mays var. ceratina) using NDVI derived from canopy reflectance and images taken by a multispectral camera as a passive sensor mounted on unmanned aerial vehicle (UAV). Three site-years experiments were conducted during two consecutive dry seasons in 2017/18 and 2018/19 at Ban Nong Bua, Nong Bua District, Khon Kaen, Thailand. The experiments were laid out according to randomized complete block design (RCBD) with two replications. Treatments consisted of nine N rates in all site-years; 0, 50, 56.25, 112.50, 125, 168.75, 200, 225 and 281.25 kg N ha-1. The EONR and N fertilizer rates were determined by fitting quadratic plateau regression models for each whole plot treatment at each site. The relationship between relative NDVI and temporal data of EONR was evaluated to provide N fertilizer recommendation. The EONR was strongly related to relative NDVI (R2= 0.7492). The result presented here suggests that the reflectance data collected with the camera as a passive sensor mounted on UAV has the potential to be a useful tool for N fertilizer recommendation for waxy corn under a variety of management systems and conditions found in Northeastern Thailand.

European Journal of Combinatorics, 2019

European Journal of Combinatorics, 2018

European Journal of Combinatorics, 2018

European Journal of Combinatorics, 2015

IOS Press eBooks, Jan 14, 2022

Global warming and climate change affect not only all living things but also many non-living thin... more Global warming and climate change affect not only all living things but also many non-living things. Furthermore, those phenomena caused extreme disasters that become impossible to ignore. Coral bleaching is a phenomenon to show ocean warming due to climate change. This paper presents the analysis and visualization of the coral health levels database by using 5D World Map System. Coral health levels are analyzed using a coral-knowledge image that includes coral with a coral health chart. We use image processing and color semantic distance to interpret coral health levels. We have implemented an actual space integration system to access environmental information resources with coral health levels and image analysis that the results have been shown on the 5D World Map System. As for the experiment study, the study areas of coral health levels analysis are located in the ocean close to Thailand's islands as Ko Ha (Five Island),

European Journal of Combinatorics, 2019

L'hypothese initiale etait de trouver la correlation entre la tcc reductase et le potentiel m... more L'hypothese initiale etait de trouver la correlation entre la tcc reductase et le potentiel methanigene dans un milieu complexe tel qu'une decharge controlee. Nous avons effectuer les analyses et suivi la fermentation methanique en batch sur les ordures menageres provenant de differentes decharges: villeneuve loubet, st pierre dumont, villeparisis et l'ancienne decharge l'anglet. Les echantillons broyes de l'usine valorga ont ete utilise pour la mise au point des methodes appliquees aux ordures menageres. L'ensemble des resultats montrent bien qu'une activite ttc reductase existe quelle que soit la nature de dechets. La fermentation en batch dans des conditions optimum, 75% humidite, temperature 37#oc et sans encemensement bacterien, permet de suivre le potentiel methanigene proprement dit des ordures menageres. En conclusion nous n'avons pas mis en evidence de correlation entre la ttc reductase et le potentiel methanigene des echantillons. En consequence, la ttc reductase ne peut etre utilisee comme un indicateur rapide du pouvoir de methanisation d'un echantillon donne. Notre travail aura permis de mesurer les valeurs de production cumulee de methane pour les differents echantillons etudies, ce qui n'est pas aborde dans la litterature

Frontiers in artificial intelligence and applications, Dec 16, 2020

Semantic computing is essentially significant for realizing the semantic interpretation of natura... more Semantic computing is essentially significant for realizing the semantic interpretation of natural and social phenomena and analyzes the changes of various environmental situations. The 5D World Map (5DWM) System [4,6,8] has introduced the concept of "SPA (Sensing, Processing and Analytical Actuation Functions)" for global environmental system integrations [1-4], as a global environmental knowledge sharing, analysis and integration system. Environmental knowledge base creation with 5D World Map is realized for sharing, analyzing and visualizing various information resources to the map which can facilitate global phenomena-observations and knowledge discoveries with multi-dimensional axis control mechanisms. The 5DWM is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11, 14, United-Nations-ESCAP: (https://sdghelpdesk.unescap.org/toolboxes) for observing and analyzing disaster, natural phenomena, ocean-water situations with local and global multimedia data resources. This paper proposes a new semantic computing method as an important approach to semantic analysis for various environmental phenomena and changes in a real world. This method realizes "Self-Contained-Knowledge-Base-Image" & "Contextual-Semantic-Interpretation" as a new concept of "Coral-Health-level Analysis in Semantic-Space for Ocean-environment" for global oceanenvironmental analysis [8,9,12,18]. This computing method is applied to automatic database creation with coral-health-level analysis sensors for interpreting environmental phenomena and changes occurring in the oceans in the world. We have focused on an experimental study for creating "Coral-Health-level Analysis Semantic-Space for Ocean-environment" [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with "coral-images and coral-healthlevel knowledge-chart".

Elsevier eBooks, 1999

ABSTRACT

Process Metallurgy, 1999

ABSTRACT

DOAJ (DOAJ: Directory of Open Access Journals), Feb 1, 2019

European Journal of Combinatorics, Dec 13, 2019

European Journal of Combinatorics, 2018

Journal of imaging technology, 2017

European Journal of Combinatorics, 2016

European Journal of Combinatorics, 2016

Engineering Journal, Aug 1, 2016

This research studies the utilization of alumina waste and silica waste for geopolymer production... more This research studies the utilization of alumina waste and silica waste for geopolymer production. Alumina waste was obtained from aluminium thermal metallurgy industry, silica waste was obtained from silicone recycle industry in Thailand. This present study aimed at investigating the basic physical and chemical properties of waste materials and also the optimal proportion in geopolymer production. The results revealed that alumina waste contained 48 percent of aluminium oxide, 4.18 percent of Silicon dioxide and average particle size is 36 micrometers. Silica waste contained 71.3 percent of Silicon dioxide and average particle size is 49 micrometers. The leaching tests of heavy metals also indicated that the level of all heavy metals concentration were over the standard set by the Ministry of Industry, Thailand which means both alumina and silica waste were considering as hazardous waste. In geopolymer production, the mortar was cast in 5x5x5 centimeters cubic shape for both methods with cured temperature at 60 degree celsius. Compressive strength was tested at 1, 7, 14 and 28 days. The results revealed that the best SiO2:Al2O3 ratio must be 3:1 mixed by alumina waste 46 g. and silica waste 24 g. with 10 ml of sodium hydroxide and 20 ml of sodium silicate. This proportion gain the highest compressive strength for 262.8 kg/cm2 at 28 days of curing which over the standard for hollow load-bearing concrete masonry units (TIS57-2530) and costs 4.03 THB/mortar. The leaching tests were estimated again after the production of geopolymer. The results indicated that the concentration of all heavy metals was within the standard set by the Ministry of Industry, Thailand. Therefore the production of geopolymer mortar from alumina waste and silica waste were not considering as hazardous waste.

Engineering Journal, Aug 1, 2016

This research aims to study the physical-chemical characteristics and carbon dioxide adsorption u... more This research aims to study the physical-chemical characteristics and carbon dioxide adsorption using commercial activated carbon (GAC) by comparing with commercial activated carbon. Chemical vapor deposition (CVD) of carbon molecular sieve prepared from activated carbon (CMSGAC) was prepared using acetylene at various conditions, such as temperature, time and acetylene flow rate. The results indicated that CMSGAC had high adsorption capacity and high selectivity for the adsorption ratio between carbon dioxide and methane. The experiments were carried out by using the samples of GAC, CMSGAC, and commercial carbon molecular sieve (CMSCOM) for adsorption of mixed gas of 30% CO2, 20% N2, and 50% CH4, respectively. The results showed that the adsorption efficiency at 50% of inlet carbon dioxide concentration of GAC, CMSGAC, and CMSCOM was at 85, 114, and 140 min, respectively. The purity of methane was 81.53, 93.16, and 98.26%, respectively. The selectivity for the adsorption ratio between carbon dioxide and methane was 1.32, 16.52, and 24.89, respectively. The cycle time of the samples was 3, 7, and 8 cycles, respectively. Finally, the maximum adsorption capacity of the samples was 1.74, 3.26, and 4.06 mole CO2/kg absorbent, respectively.

International journal of geoinformatics, Sep 1, 2020

Nitrogen (N) is one of the main factors to increasing corn yield. Past research showed that N fer... more Nitrogen (N) is one of the main factors to increasing corn yield. Past research showed that N fertilizer application rates were strongly related to corn yield. The objective of this study was to estimate N fertilizer recommendations with EONR for waxy corn (Zea mays var. ceratina) using NDVI derived from canopy reflectance and images taken by a multispectral camera as a passive sensor mounted on unmanned aerial vehicle (UAV). Three site-years experiments were conducted during two consecutive dry seasons in 2017/18 and 2018/19 at Ban Nong Bua, Nong Bua District, Khon Kaen, Thailand. The experiments were laid out according to randomized complete block design (RCBD) with two replications. Treatments consisted of nine N rates in all site-years; 0, 50, 56.25, 112.50, 125, 168.75, 200, 225 and 281.25 kg N ha-1. The EONR and N fertilizer rates were determined by fitting quadratic plateau regression models for each whole plot treatment at each site. The relationship between relative NDVI and temporal data of EONR was evaluated to provide N fertilizer recommendation. The EONR was strongly related to relative NDVI (R2= 0.7492). The result presented here suggests that the reflectance data collected with the camera as a passive sensor mounted on UAV has the potential to be a useful tool for N fertilizer recommendation for waxy corn under a variety of management systems and conditions found in Northeastern Thailand.

European Journal of Combinatorics, 2019

European Journal of Combinatorics, 2018

European Journal of Combinatorics, 2018

European Journal of Combinatorics, 2015

IOS Press eBooks, Jan 14, 2022

Global warming and climate change affect not only all living things but also many non-living thin... more Global warming and climate change affect not only all living things but also many non-living things. Furthermore, those phenomena caused extreme disasters that become impossible to ignore. Coral bleaching is a phenomenon to show ocean warming due to climate change. This paper presents the analysis and visualization of the coral health levels database by using 5D World Map System. Coral health levels are analyzed using a coral-knowledge image that includes coral with a coral health chart. We use image processing and color semantic distance to interpret coral health levels. We have implemented an actual space integration system to access environmental information resources with coral health levels and image analysis that the results have been shown on the 5D World Map System. As for the experiment study, the study areas of coral health levels analysis are located in the ocean close to Thailand's islands as Ko Ha (Five Island),

European Journal of Combinatorics, 2019

L'hypothese initiale etait de trouver la correlation entre la tcc reductase et le potentiel m... more L'hypothese initiale etait de trouver la correlation entre la tcc reductase et le potentiel methanigene dans un milieu complexe tel qu'une decharge controlee. Nous avons effectuer les analyses et suivi la fermentation methanique en batch sur les ordures menageres provenant de differentes decharges: villeneuve loubet, st pierre dumont, villeparisis et l'ancienne decharge l'anglet. Les echantillons broyes de l'usine valorga ont ete utilise pour la mise au point des methodes appliquees aux ordures menageres. L'ensemble des resultats montrent bien qu'une activite ttc reductase existe quelle que soit la nature de dechets. La fermentation en batch dans des conditions optimum, 75% humidite, temperature 37#oc et sans encemensement bacterien, permet de suivre le potentiel methanigene proprement dit des ordures menageres. En conclusion nous n'avons pas mis en evidence de correlation entre la ttc reductase et le potentiel methanigene des echantillons. En consequence, la ttc reductase ne peut etre utilisee comme un indicateur rapide du pouvoir de methanisation d'un echantillon donne. Notre travail aura permis de mesurer les valeurs de production cumulee de methane pour les differents echantillons etudies, ce qui n'est pas aborde dans la litterature

Frontiers in artificial intelligence and applications, Dec 16, 2020

Semantic computing is essentially significant for realizing the semantic interpretation of natura... more Semantic computing is essentially significant for realizing the semantic interpretation of natural and social phenomena and analyzes the changes of various environmental situations. The 5D World Map (5DWM) System [4,6,8] has introduced the concept of "SPA (Sensing, Processing and Analytical Actuation Functions)" for global environmental system integrations [1-4], as a global environmental knowledge sharing, analysis and integration system. Environmental knowledge base creation with 5D World Map is realized for sharing, analyzing and visualizing various information resources to the map which can facilitate global phenomena-observations and knowledge discoveries with multi-dimensional axis control mechanisms. The 5DWM is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11, 14, United-Nations-ESCAP: (https://sdghelpdesk.unescap.org/toolboxes) for observing and analyzing disaster, natural phenomena, ocean-water situations with local and global multimedia data resources. This paper proposes a new semantic computing method as an important approach to semantic analysis for various environmental phenomena and changes in a real world. This method realizes "Self-Contained-Knowledge-Base-Image" & "Contextual-Semantic-Interpretation" as a new concept of "Coral-Health-level Analysis in Semantic-Space for Ocean-environment" for global oceanenvironmental analysis [8,9,12,18]. This computing method is applied to automatic database creation with coral-health-level analysis sensors for interpreting environmental phenomena and changes occurring in the oceans in the world. We have focused on an experimental study for creating "Coral-Health-level Analysis Semantic-Space for Ocean-environment" [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with "coral-images and coral-healthlevel knowledge-chart".